diff --git a/docs/_static/img/components.png b/docs/_static/img/components.png new file mode 100644 index 0000000..40eacf9 Binary files /dev/null and b/docs/_static/img/components.png differ diff --git a/docs/cluster-setup.md b/docs/cluster-setup.md index 4c9c49e..49e30c7 100644 --- a/docs/cluster-setup.md +++ b/docs/cluster-setup.md @@ -8,11 +8,11 @@ During simulation, the *server* engage with the *clients* to run the simulations information is exchanged between Rasberry Pi's using network sockets. The **server** provides a Dashboard to visualize the results, and saves them to a `.csv` files for later analysis. +
- ## Hardware Requirements - A Raspberry Pi to use as a *server*. - One or more Raspebrry Pi's to use as *clients*. diff --git a/docs/conf.py b/docs/conf.py index 14cb71c..fbd2c56 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -38,7 +38,9 @@ ] templates_path = ['_templates'] -exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store', 'user/depricated-user-guide.md'] +exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store', 'user/depricated-user-guide.md', + 'tutorials/example.ipynb' # remove to include the example notebook + ] diff --git a/docs/developer/software-architecture.md b/docs/developer/software-architecture.md new file mode 100644 index 0000000..74b5144 --- /dev/null +++ b/docs/developer/software-architecture.md @@ -0,0 +1,112 @@ +# Software Architecture + +The Illuminator is modular Python applications to simulate energy systems. In this seciton, we provide an overview of its sotware architecture. The diagram below describes the components of the Illuminator. + +
+ +
+ + +## Users +Users of the Illuminator take one of two roles: + +* **Moder Developer**: uses the Illuminator to create energy models that can be used in any simulation +* **Energy Analys**: use sthe Illuminator to define and run simulation scenarios. + + + +## Components + +### Mosaik Simulation Framework + +A framework that serves as a core platform for executing energy system simulations. [Mosaik](https://mosaik.readthedocs.io/en/latest/index.html) is an external dependency, and as such the Illuminator interacts with it thru its API. + +### Model Builder Application + +A Python applicaiton that model developers use to define/modify energy models for the Illuminator. New models are developed using the **Builder** componente, which provides a custom interface for creating and registering energy models to the **Model Library**. The purpose of the **Builder** componet is ease the defintion of energy models using a jargon that **energy system engineers** are more familiar with. For example, by defining new models in term of *inputs, outputs, states, etc.* + +The **Model Library** component stores energy models that can be use in a simulation, so that they can be accessed by the **Mosaik Simulation Framework** during runtime. + +### Model Builder Application + +A Python application that facilated the development and registration of energy models for the **Model Library**, in wich the **Builder** component provides an interface that can be used to define energy models in terms of *parameters, inputs, output, states, etc*. This applicaiton stores energy models in the **Model Library** and mades them available to the **Mosaik Simulation Framework**. + +Models in the **Model Library** are metadata and business logic containers. No computations are performed by this component. + +### Simulation Engine Application + +A Python application to run simulations via the Mosaik API. This application consists of four compoennts. The **Scenario API** provides a wrapper to prepare and start simulations in the **Mosaik Simulation Framework**. Therefore, simulations, computations and the management of output data are delegated to the **Mosaik Simulation Framework**. +The Senario API uses the **Scenario Schema** to validate simulation definitions writen as YAML files written by the **Energy Analysis**. The **Scenario Schema** defines the format that YAML files must be written on. + +The **Illuminator CLI** is an appliccation implemented using [Typer](https://typer.tiangolo.com/), which provides a command line interface to run simulation locally, and automate the deployment of the Illuminator in a Raspberry Pi cluster. The **Illuminator CLI** uses the **Scernario API** and the **Cluster PI** components for its functionality. + +Finally, the **Cluster Pi** component consists of a set of tools for setting up the Illuminator to tha Raspberry Py cluster that will run scenario simulatios. + +### Dashboard + +An application used by the **Energy Analyst** to visualise the results and logs of simulatiosn in real-time. This is not implemented in the current version. + +----- +## Use Cases + +There are three main use cases for the users of the Illuminator: + +1. Extending the model library: a *Model developer* wants to add a new model to the **Model Library** +2. Creating a simullation scenario: an *Energy Analyst* wants to define a simulation scenario using a YAML file and execute the simulation. +3. Set up a raspberry Pi cluster: a **user** wants to set up the Illuminator in a cluster of Raspberry Pi's to run simulations. + +### Extending the Model Library + +Energy model should be added to the **Model Library** as follows: + +1. Create a Python module with the name of the model. For example, `ExampleModel.py` +1. In the file, create an IlluminatorModel object for the model. This defines which inputs, output, parameters, states, triggers, etc. a particular model has. For example: + +```Python +from illuminator.builder import IlluminatorModel +# Defines a model'a paramters, inputs, outputs... +example_model = IlluminatorModel( + parameters={"param1": "addition"}, + inputs={"in1": 10, "in2": 20}, + outputs={"out1": 0}, + states={"out1": 0}, + time_step_size=1, + time=None +) +``` + +2. Create a class that inherits from `ModelConstructor`, and impement the `step()` method. Name the new class with the same name as the Python module it contains it. The new class will become a *model type* in the Illuminator. Instances of this model type will be created by the **Scenario API** + +For example, + +```python +from illuminator builder import ModelConstructor + +class ExampleModel (ModelConstructor): + + def step(): + """Computes this in every time step""" + + # The computation logic goes here: + + # return the time for the next time step + return time + self._model.time_step_size +``` + +3. To test the new model is implemented correctly, try: + +```python +# TODO: add example +``` + +### Creating Simulation Scenarios + +TODO + +### Setting Up Cluster Pi + +Refer to [Cluster Pi setup.](../cluster-setup.md) + + + diff --git a/docs/diagrams/components.puml b/docs/diagrams/components.puml new file mode 100644 index 0000000..aee8721 --- /dev/null +++ b/docs/diagrams/components.puml @@ -0,0 +1,55 @@ +@startuml +!include https://raw.githubusercontent.com/plantuml-stdlib/C4-PlantUML/master/C4_Component.puml + +scale 1.5 +LAYOUT_LANDSCAPE() +title Component Diagram for the Illuminator + +AddElementTag("not implemented", $bgColor="#3c6658") + +Person(modelDeveloper, "Model Developer", "A person who wants to develop new models") +Person(energyAnalyst, "Energy Analyst", "A person who creates simulations of energy systems") + +System_Ext(mosaik, "Mosaik Simulation Framework", "A Smart Grid co-simulation framework. It provides a platform for executing simualtions of energy systems") + +System_Boundary(illuminatorSys, "Illuminator", $descr="A Python package to simulate energy system") { + + Container(dashboard, "Dashboard", "?", "An application for visualizing simulation results and logs in real-time", $tags="not implemented") + + Container_Boundary(builderApp, "Model Builder Application", "Python", $descr="a Python application to develop energy models for the Illuminator") { + Component(modelBuilder, "Builder", "Python", "A custom interface for creating and registering energy system models") + Component(modelLibrary, "Model Libarry", "Python", "A collection of energy system models that can be use in a simulation") + + Rel(modelBuilder, modelLibrary, "registers models to", "Python") + Rel(modelDeveloper, modelBuilder, "defines energy models using", "Python") + + } + Container_Boundary(simulationEngine, "Simulation Engine Application", "Python", $descr="A Python application to simulate energy systems") { + Component(scenarioApi, "Scenario API", "Python", "generates and starts simulation scenarios. It serves as a wrapper for the Mosaik API") + Component(clusterPi, "Cluster Pi", "Python, Bash", "tools for setting up a cluster of Raspberry Pi's for running simulations") + Component(cli, "Illuminator CLI", "Python, Typer", "a commnad line application to run simulation scenarios, and support the set up of a cluster of Raspberry Pi's") + + Component(scenarioSchema, "Scenario Schema", "Python, YAML", "provides a formal schema for defining simulation scenarios using YAML files") + + Rel(cli, scenarioApi, "uses", "Python") + Rel(cli, clusterPi, "uses", "Python") + Rel(scenarioApi, scenarioSchema, "validates scenario simulations using", "Python") + +} + + Rel(scenarioApi, mosaik, "starts simulators in", "Mosaik API") + Rel(mosaik, dashboard, "provides simulation results and logs to", "Collector Model") + +} + + +Rel(mosaik, modelLibrary, "access energy models from", "Python") + +Rel(energyAnalyst, scenarioApi, "defines simulation scenarios for", "YAML") +Rel(energyAnalyst, cli, "runs simulation scenarios using", "Terminal") + +Rel(energyAnalyst,dashboard, "visualizes simulation results and logs in", "GUI") + + +SHOW_LEGEND() +@enduml \ No newline at end of file diff --git a/docs/index.rst b/docs/index.rst index e087a23..38d4bed 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -33,13 +33,12 @@ and the simulation engine is based on `Mosaik. `_ :maxdepth: 2 :caption: Tutorials - tutorials/example.ipynb - .. toctree:: :maxdepth: 2 :caption: Developer's Documentation developer/set-up.md + developer/software-architecture.md developer/developer-docstrings.md developer/testing-explained.md developer/writing-tests.md diff --git a/docs/references/engine-api.rst b/docs/references/engine-api.rst index 9fd3fcd..2452a0d 100644 --- a/docs/references/engine-api.rst +++ b/docs/references/engine-api.rst @@ -1,10 +1,30 @@ -Engine's API +Engine API ===================== -.. automodule:: illuminator.engine +The simulation engine provides a wrapper around Mosaik simulation to simplify the process of creating and running simulations. + +Python Interface +--------------------- + +.. autoclass:: illuminator.engine.Simulation :members: :show-inheritance: +Utility Functions +--------------------- + +.. autofunction:: illuminator.engine.apply_default_values + +.. autofunction:: illuminator.engine.build_connections + +.. autofunction:: illuminator.engine.compute_mosaik_end_time + +.. autofunction:: illuminator.engine.connect_monitor + +.. autofunction:: illuminator.engine.create_world + +.. autofunction:: illuminator.engine.generate_mosaik_configuration + .. diff --git a/docs/user/config-file.md b/docs/user/config-file.md index 9ec4afe..5ce4b55 100644 --- a/docs/user/config-file.md +++ b/docs/user/config-file.md @@ -68,26 +68,26 @@ monitor: | Keyword | Description | Optional | Default | |---------|-------------|----------|---------| -| **scenario:** | a set of global values for a simulation. | | | -|`name` | A name for the simulation, internally this name will be asssigned to what the Mosaik World created during runtime. | | | -| `start_time` | start time for the simulation. Must be a timestamp in ISO 8601 format | | | -| `end_time` | end time for the simulation. Must be a timestamp in ISO 8601 format. | | | -| `time_resolution` | number of seconds between simulation steps | ☑ | 900 (15 min) -| **models:** | a list of models for the simulation | | | -| `name` | a name for the model. Must be unique for each simulation | | | -| `type` | type of model. This must correspond with the name of the model registered in the Illuminator. | | | -| `inputs` | a set of input-names and initial values for the model. The model type determines which names and values are applicable to each model, and they must be declared accordingly. Inputs are optional | | If the value is set to `null`, the default value will be used. See the respective model type for details.| -| `outputs` | a set of output-names and initial values for the model. Similar to *inputs* valid names and values for each model are determined by the model *type*. See the respective model type for details. | | If the value is set to `null`, the default value will be used. | -| `parameters` | a set of name-value pairs for the model. Parameters declared constants for a model during runtime. | ☑ | If ommited, the default values will be used. See the respective model type for details. | -| `states` | a set of name-value pairs considered as states for the model. The values modify the internal initial values of a state. | ☑ | If ommited, the default values will be used. See the respective model type for details. | -| `triggers` | names of inputs, output or states that are use as triggers for a particular model. Triggers can only be declared by models that implement the *event-based paradigm*. See the respective model type to know if it accepts triggers. | ☑ | | -| `connect` | to declare in which client a model runs when using a Raspberry Pi cluster. | ☑ | | -| `ip` | Ip of the client manchine that will run the model. Only IP version 4 format. | | | -| `port` | TCP port to use to connect to the client machine| ☑ | | +| **scenario:** | a set of global values
for a simulation. | | | +|`name` | A name for the simulation, internally
this name will be asssigned to what
the Mosaik World created during runtime. | | | +| `start_time` | start time for the simulation.
Must be a timestamp in ISO 8601 format | | | +| `end_time` | end time for the simulation.
Must be a timestamp in ISO 8601 format. | | | +| `time_resolution` | number of seconds between
simulation steps | ☑ | 900 (15 min) +| **models:** | a list of models for
the simulation | | | +| `name` | a name for the model. Must
be unique for each simulation | | | +| `type` | type of model. This must correspond
with the name of the model
registered in the Illuminator. | | | +| `inputs` | a set of input-names and initial
values for the model. The model
type determines which names and
values are applicable to each model,
and they must be declared accordingly.
Inputs are optional | | If the value is set to `null`,
the default value will be
used. See the respective model
type for details.| +| `outputs` | a set of output-names and initial
values for the model. Similar to
*inputs* valid names and values
for each model are determined by
the model *type*. See the respective
model type for details. | | If the value is set to `null`,
the default value will be used. | +| `parameters` | a set of name-value pairs for
the model. Parameters declared constants
for a model during runtime. | ☑ | If ommited, the default values
will be used. See the
respective model type for details. | +| `states` | a set of name-value pairs considered
as states for the model. The values modify
the internal initial values of a state. | ☑ | If ommited, the default
values will be used. See the
respective model type for details. | +| `triggers` | names of inputs, output or states
that are use as triggers for a particular model.
Triggers can only be declared by models
that implement the *event-based paradigm*.
See the respective model type to know if
it accepts triggers. | ☑ | | +| `connect` | to declare in which client a model runs
when using a Raspberry Pi cluster. | ☑ | | +| `ip` | Ip of the client manchine that will run
the model. Only IP version 4 format. | | | +| `port` | TCP port to use to connect to the
client machine| ☑ | | | **connections:** | how models connect to each other. | | | -| `from` | origin of the connection declared as `.`. Input names use here must also appear as *inputs* in the models section. | | | -| `to` | destination of the connection declared as `.`. Output names use here must also appear as *outputs* in the models section. | | +| `from` | origin of the connection declared as
`.`. Input names
use here must also appear as *inputs* in
the models section. | | | +| `to` | destination of the connection declared as
`.`. Output names
use here must also appear as *outputs* in
the models section. | | | **monitor:** | -| `file` | path to a CSV file to store results of the simulation. File will be created if necessary. | ☑ | a `out.csv` file saved to the current directory | -|`items` | a list of which inputs, outputs or states of models that most be monitored during runtime. Items must be declared as `.`, where *name* is an input, output or stated clared in the *models* section. No duplicated values are allowed | | | +| `file` | path to a CSV file to store results of
the simulation. File will be created if
necessary. | ☑ | a `out.csv` file saved to
the current directory | +|`items` | a list of which inputs, outputs or states
of models that most be monitored during
runtime. Items must be declared as
`.`, where *name* is an
input, output or stated clared in the
*models* section. No duplicated values
are allowed | | | diff --git a/examples/PV_test.yaml b/examples/PV_test.yaml new file mode 100644 index 0000000..3a4355b --- /dev/null +++ b/examples/PV_test.yaml @@ -0,0 +1,65 @@ +scenario: + name: "SimpleTest" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + end_time: '2012-01-01 01:00:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) + + +models: # list of models for the energy network + +- name: CSVB # name for the model (must be unique) + type: CSV # name of the model registered in the Illuminator + parameters: # a CSV model must have a start time and a file as parameters + start: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + file_path: './examples/solar-sample.csv' # path to the file with the data + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' + +- name: PV1 + type: PV # models can reuse the same type + parameters: + m_area: 1.26 + NOCT: 44 + m_efficiency_stc: 0.198 + G_NOCT: 800 + P_STC: 250 + peak_power: 600 + m_tilt: 14 + m_az: 180 + cap: 500 + output_type: 'power' + inputs: + G_Gh: null + G_Dh: null + G_Bn: null + Ta: null + hs: null + FF: null + Az: null + outputs: + pv_gen: 1 + g_aoi: null + + +connections: +- from: CSVB.G_Gh # start model, pattern: model_name.output_name/input_name + to: PV1.G_Gh # end model +- from: CSVB.G_Dh + to: PV1.G_Dh +- from: CSVB.G_Bn + to: PV1.G_Bn +- from: CSVB.Ta + to: PV1.Ta +- from: CSVB.hs + to: PV1.hs +- from: CSVB.FF + to: PV1.FF +- from: CSVB.Az + to: PV1.Az + + +monitor: + file: './out.csv' # optional with default, path to the results file for the scenario. This should be optional # a list of models, its inputs, output and states to be monitored and logged + items: + - CSVB.G_Gh + - PV1.pv_gen \ No newline at end of file diff --git a/examples/Tutorial1/Overview_Tutorial_1.docx b/examples/Tutorial1/Overview_Tutorial_1.docx new file mode 100644 index 0000000..57398a6 Binary files /dev/null and b/examples/Tutorial1/Overview_Tutorial_1.docx differ diff --git a/examples/Tutorial1/Tutorial_1.yaml b/examples/Tutorial1/Tutorial_1.yaml new file mode 100644 index 0000000..14ec039 --- /dev/null +++ b/examples/Tutorial1/Tutorial_1.yaml @@ -0,0 +1,167 @@ +scenario: + name: "Tutorial 1" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + #end_time: '2012-01-01 01:00:00' # duration in seconds + end_time: '2012-02-28 23:45:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) + +models: +- name: CSVload + type: CSV + parameters: + start: '2012-01-01 00:00:00' + file_path: './examples/Tutorial1/load_data.txt' + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' +- name: CSV_pv + type: CSV + parameters: + start: '2012-01-01 00:00:00' + file_path: './examples/Tutorial1/pv_data_Rotterdam_NL-15min.txt' + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' +- name: CSV_wind + type: CSV + parameters: + start: '2012-01-01 00:00:00' + file_path: './examples/Tutorial1/winddata_NL.txt' + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' + +- name: Load1 + type: Load + parameters: + houses: 5 # number of houses that determine the total load demand + output_type: 'power' # type of output for consumption calculation ('energy' or 'power') + inputs: + load: 0 # incoming energy or power demand per house (kWh) for each time step (15 minutes) + outputs: + load_dem: 0 # total energy or power consumption for all houses (kWh) over the time step + consumption: 0 # Current energy or power consumption based on the number of houses and input load (kWh) + time: None, # Current simulation time step in seconds + forecast: None # Forecasted load demand (if applicable, not defined in the code but mentioned in META) + states: + consumption: 0 + time: None + forecast: None + +- name: PV1 + type: PV # models can reuse the same type + parameters: + m_area: 1.26 + NOCT: 44 + m_efficiency_stc: 0.198 + G_NOCT: 800 + P_STC: 250 + peak_power: 600 + m_tilt: 14 + m_az: 180 + cap: 500 + output_type: 'power' + inputs: + G_Gh: null + G_Dh: null + G_Bn: null + Ta: null + hs: null + FF: null + Az: null + outputs: + pv_gen: 1 + g_aoi: null + +- name: Wind1 + type: Wind # models can reuse the same type + parameters: + p_rated: 0.3 # Rated power output (kW) of the wind turbine at the rated wind speed and above. + u_rated: 10.3 # Rated wind speed (m/s) where the wind turbine reaches its maximum power output. + u_cutin: 2.8 # Cut-in wind speed (m/s) below which the wind turbine does not generate power. + u_cutout: 25 # Cut-out wind speed (m/s) above which the wind turbine stops generating power to prevent damage. + cp: 0.40 # Coefficient of performance of the wind turbine, typically around 0.40 and never more than 0.59. + diameter: 2 # Diameter of the wind turbine rotor (m), used in calculating the swept area for wind power production. + output_type: 'power' # Output type of the wind generation, either 'power' (kW) or 'energy' (kWh). + inputs: + u: 0 # Wind speed (m/s) at a specific height used to calculate the wind power generation. + outputs: + wind_gen: 0 # Generated wind power output (kW) or energy (kWh) based on the chosen output type (power or energy). + u: 0 # Adjusted wind speed (m/s) at 25m height after converting from the original height (e.g., 100m or 60m). + +- name: Battery1 + type: Battery # models can reuse the same type + parameters: + max_p: 0.8 # maximum charging power limit (kW) + min_p: -0.8 # maximum discharging power limit (kW) + max_energy: 0.8 # maximum energy storage capacity of the battery (kWh) + charge_efficiency: 90 # efficiency of charging the battery (%) + discharge_efficiency: 90 # efficiency of discharging the battery (%) + soc_min: 10 # minimum allowable state of charge for the battery (%) + soc_max: 90 # maximum allowable state of charge for the battery (%) + inputs: + flow2b: 0 # power flow to/from the battery. Positive for charging, negative for discharging (kW) + outputs: + p_out: 0 # output power from the battery after discharge/charge decision (Kw) + p_in: 0 # input power to the battery (kW) + soc: 80 # updated state of charge after battery operation (%) + mod: 0 # operation mode: 0=no action, 1=charge, -1=discharge + flag: 0 # flag indicating battery status: 1=fully charged, -1=fully discharged, 0=available for control + +- name: Controller1 + type: Controller # models can reuse the same type + parameters: + soc_min: 10 # Minimum state of charge of the battery before discharging stops + soc_max: 90 # Maximum state of charge of the battery before charging stops + h2_soc_min: 0 # Minimum state of charge of the hydrogen storage before discharging stops + h2_soc_max: 0 # Maximum state of charge of the hydrogen storage before charging stops + fc_eff: 100 # Efficiency of the fuel cell + inputs: + wind_gen: 0 # Wind power generation + pv_gen: 0 # Solar power generation + load_dem: 0 # Electrical load demand + soc: 0 # State of charge of the battery + h2_soc: 0 # State of charge of the hydrogen storage + outputs: + flow2b: 0 # Power flow to/from battery (positive for charging, negative for discharging) + flow2e: 0 # Power flow to the electrolyzer for hydrogen production + dump: 0 # Excess power that cannot be stored or used + h2_out: 0 # Hydrogen output from fuel cell to meet demand (positive if used, zero otherwise) + + +connections: +- from: CSVload.load + to: Load1.load + +- from: CSV_pv.G_Gh # start model, pattern: model_name.output_name/input_name + to: PV1.G_Gh # end model +- from: CSV_pv.G_Dh + to: PV1.G_Dh +- from: CSV_pv.G_Bn + to: PV1.G_Bn +- from: CSV_pv.Ta + to: PV1.Ta +- from: CSV_pv.hs + to: PV1.hs +- from: CSV_pv.FF + to: PV1.FF +- from: CSV_pv.Az + to: PV1.Az + +- from: CSV_wind.u + to: Wind1.u + +- from: Controller1.flow2b + to: Battery1.flow2b + time_shifted: True + +- from: Wind1.wind_gen + to: Controller1.wind_gen +- from: PV1.pv_gen + to: Controller1.pv_gen +- from: Load1.load_dem + to: Controller1.load_dem +- from: Battery1.soc + to: Controller1.soc + +monitor: + file: './out_Tutorial1.csv' + items: + - Battery1.soc \ No newline at end of file diff --git a/examples/Tutorial1/load_data.txt b/examples/Tutorial1/load_data.txt new file mode 100644 index 0000000..f2805f4 --- /dev/null +++ b/examples/Tutorial1/load_data.txt @@ -0,0 +1,35042 @@ +Load_data +time,load +2012-01-01 00:00:00,0.310326141 +2012-01-01 00:15:00,0.336696753 +2012-01-01 00:30:00,0.335984442 +2012-01-01 00:45:00,0.338940279 +2012-01-01 01:00:00,0.306935425 +2012-01-01 01:15:00,0.22747825700000002 +2012-01-01 01:30:00,0.201200304 +2012-01-01 01:45:00,0.198313518 +2012-01-01 02:00:00,0.208598422 +2012-01-01 02:15:00,0.156634474 +2012-01-01 02:30:00,0.163929325 +2012-01-01 02:45:00,0.172510833 +2012-01-01 03:00:00,0.168155625 +2012-01-01 03:15:00,0.158584706 +2012-01-01 03:30:00,0.165512444 +2012-01-01 03:45:00,0.109730616 +2012-01-01 04:00:00,0.240706492 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a/examples/adder.yaml b/examples/adder.yaml deleted file mode 100644 index 818c3ce..0000000 --- a/examples/adder.yaml +++ /dev/null @@ -1,31 +0,0 @@ -scenario: - name: "AddingNumbers" # in mosaik so called world - start_time: '2012-01-02 00:00:00' # ISO 8601 start time of the simulation - end_time: '2012-01-02 00:00:10' # duration in seconds - time_resolution: 900 # time step in seconds. Defaults to 15 minutes (900 s) -models: # list of models for the energy network -- name: Adder1 # name for the model (must be unique) - type: Adder # most match the class inheriting from IlluminatorConstructor - inputs: - in1: 10 # input-name: initial value, default value will be used if not defined - in2: 20 - outputs: - out1: 0 - parameters: - param1: "adding tens" -- name: Adder2 - type: Adder # models can reuse the same type - inputs: - in1: 100 # input-name: initial value, default value will be used if not defined - in2: 200 - parameters: - param1: "adding hundreds" -connections: -- from: Adder1.out1 # start model, pattern: model_name.output_name/input_name - to: Adder2.in1 # end model -monitor: # a list of models, its inputs, output and states to be monitored and logged -- Adder2.out2 # pattern model_name.state_name - - - - diff --git a/examples/adder_copy.yaml b/examples/adder_copy.yaml index f1a3a54..6468a5d 100644 --- a/examples/adder_copy.yaml +++ b/examples/adder_copy.yaml @@ -1,41 +1,41 @@ scenario: name: "AddingNumbers" # in mosaik so called world start_time: '2012-01-02 00:00:00' # ISO 8601 start time of the simulation - end_time: '2012-01-02 00:00:10' # duration in seconds + end_time: '2012-01-02 00:45:01' # duration in seconds time_resolution: 900 # time step in seconds. Defaults to 15 minutes (900 s) - results: './out.csv' models: # list of models for the energy network -- name: Adder1 # name for the model (must be unique) - type: Adder # most match the class inheriting from IlluminatorConstructor - inputs: - in1: 10 # input-name: initial value, default value will be used if not defined - in2: 20 - outputs: - out1: 0 - parameters: - param1: "adding tens" - name: Adder2 type: Adder # models can reuse the same type - inputs: + inputs: in1: 100 # input-name: initial value, default value will be used if not defined in2: 200 outputs: out1: 0 - parameters: + parameters: param1: "adding hundreds" +- name: Adder1 # name for the model (must be unique) + type: Adder # most match the class inheriting from IlluminatorConstructor + inputs: + in1: 10 # input-name: initial value, default value will be used if not defined + in2: 20 + outputs: + out1: 0 + parameters: + param1: "adding tens" connections: - from: Adder1.out1 # start model, pattern: model_name.output_name/input_name - to: Adder2.in1n # end model + to: Adder2.in1 # end model + time_shifted: True # TODO: Below is what Illuminator looks for, but is not valid. Needs to be fixed # - from: Adder1-0.hybrid_0.out1 # to: Adder2-0.hybrid_0.in1 - #monitor: # a list of models, its inputs, output and states to be monitored and logged #- Adder2.out2 # pattern model_name.state_name monitor: file: './out.csv' items: - - Adder2.out2 + - Adder2.out1 + - Adder1.out1 diff --git a/examples/adder_model.py b/examples/adder_model.py index be955ba..c7665bf 100644 --- a/examples/adder_model.py +++ b/examples/adder_model.py @@ -25,8 +25,6 @@ def step(self, time) -> None: return time + self._model.time_step_size - # todo: adopt get_data() as defined by Mosaik - if __name__ == '__main__': import mosaik diff --git a/examples/battery.yaml b/examples/battery.yaml new file mode 100644 index 0000000..d555ddd --- /dev/null +++ b/examples/battery.yaml @@ -0,0 +1,76 @@ +scenario: + name: "batteryTest" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + end_time: '2012-01-01 01:00:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) +models: # list of models for the energy network +- name: CSVB # name for the model (must be unique) + type: CSV # name of the model registered in the Illuminator + parameters: # a CSV model must have a start time and a file as parameters + start: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + file_path: './examples/battery_charger.csv' # path to the file with the data + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' + +- name: Load1 + type: Load + parameters: + houses: 1 # number of houses that determine the total load demand + output_type: 'power' # type of output for consumption calculation ('energy' or 'power') + inputs: + load: 0 # incoming energy or power demand per house (kWh) for each time step (15 minutes) + outputs: + load_dem: 0 # total energy or power consumption for all houses (kWh) over the time step + consumption: 0 # Current energy or power consumption based on the number of houses and input load (kWh) + time: None, # Current simulation time step in seconds + forecast: None # Forecasted load demand (if applicable, not defined in the code but mentioned in META) + states: + consumption: 0 + time: None + forecast: None + +# - name: Adder1 # name for the model (must be unique) +# type: Adder # most match the class inheriting from IlluminatorConstructor +# inputs: +# in1: 10 # input-name: initial value, default value will be used if not defined +# in2: 1 +# outputs: +# out1: 0 +# parameters: +# param1: "adding tens" + +- name: Battery1 + type: Battery # models can reuse the same type + parameters: + max_p: 150 # maximum charging power limit (kW) + min_p: -250 # maximum discharging power limit (kW) + max_energy: 100 # maximum energy storage capacity of the battery (kWh) + charge_efficiency: 50 # efficiency of charging the battery (%) + discharge_efficiency: 50 # efficiency of discharging the battery (%) + soc_min: 3 # minimum allowable state of charge for the battery (%) + soc_max: 80 # maximum allowable state of charge for the battery (%) + inputs: + flow2b: 0 # power flow to/from the battery. Positive for charging, negative for discharging (kW) + outputs: + p_out: 20 # output power from the battery after discharge/charge decision (Kw) + p_in: 20 # input power to the battery (kW) + soc: 60 # updated state of charge after battery operation (%) + mod: 0 # operation mode: 0=no action, 1=charge, -1=discharge + flag: -1 # flag indicating battery status: 1=fully charged, -1=fully discharged, 0=available for control + +connections: +# - from: CSVB.p # start model, pattern: model_name.output_name/input_name +# to: Battery1.p_in + # to: Adder1.in1 # end model + #time_shifted: True +- from: CSVB.flow2b + to: Battery1.flow2b +- from: CSVB.load + to: Load1.load + +monitor: + file: './out_battery.csv' # optional with default, path to the results file for the scenario. This should be optional # a list of models, its inputs, output and states to be monitored and logged + items: + - CSVB.flow2b + - Battery1.soc + - Load1.consumption \ No newline at end of file diff --git a/examples/battery_charger.csv b/examples/battery_charger.csv new file mode 100644 index 0000000..3b8ea66 --- /dev/null +++ b/examples/battery_charger.csv @@ -0,0 +1,6 @@ +Charge_data +Time,flow2b,load +2012-01-01 00:00:00,-40,10 +2012-01-01 00:15:00,40,10 +2012-01-01 00:30:00,0,10 +2012-01-01 00:45:00,-40,10 diff --git a/examples/controller_test.csv b/examples/controller_test.csv new file mode 100644 index 0000000..c3f15b1 --- /dev/null +++ b/examples/controller_test.csv @@ -0,0 +1,6 @@ +Charge_data +Time,wind_gen,pv_gen,load_dem,soc,h2_soc +2012-01-01 00:00:00 ,0 ,10 ,0 ,0 ,100 +2012-01-01 00:15:00 ,0 ,10 ,0 ,50 ,100 +2012-01-01 00:30:00 ,0 ,10 ,0 ,100 ,100 +2012-01-01 00:45:00 ,0 ,10 ,0 ,100 ,100 diff --git a/examples/controller_test.yaml b/examples/controller_test.yaml new file mode 100644 index 0000000..2b715d9 --- /dev/null +++ b/examples/controller_test.yaml @@ -0,0 +1,55 @@ +scenario: + name: "batteryTest" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + end_time: '2012-01-01 01:00:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) +models: # list of models for the energy network +- name: CSVB # name for the model (must be unique) + type: CSV # name of the model registered in the Illuminator + parameters: # a CSV model must have a start time and a file as parameters + start: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + file_path: './examples/controller_test.csv' # path to the file with the data + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' + +- name: Controller1 + type: Controller # models can reuse the same type + parameters: + soc_min: 0 # Minimum state of charge of the battery before discharging stops + soc_max: 100 # Maximum state of charge of the battery before charging stops + h2_soc_min: 0 # Minimum state of charge of the hydrogen storage before discharging stops + h2_soc_max: 100 # Maximum state of charge of the hydrogen storage before charging stops + fc_eff: 100 # Efficiency of the fuel cell + inputs: + wind_gen: 0 # Wind power generation + pv_gen: 0 # Solar power generation + load_dem: 0 # Electrical load demand + soc: 0 # State of charge of the battery + h2_soc: 0 # State of charge of the hydrogen storage + outputs: + flow2b: 0 # Power flow to/from battery (positive for charging, negative for discharging) + flow2e: 0 # Power flow to the electrolyzer for hydrogen production + dump: 0 # Excess power that cannot be stored or used + h2_out: 0 # Hydrogen output from fuel cell to meet demand (positive if used, zero otherwise) + + +connections: +- from: CSVB.wind_gen + to: Controller1.wind_gen +- from: CSVB.pv_gen + to: Controller1.pv_gen +- from: CSVB.load_dem + to: Controller1.load_dem +- from: CSVB.soc + to: Controller1.soc +- from: CSVB.h2_soc + to: Controller1.h2_soc + + +monitor: + file: './out_Controller.csv' + items: + - Controller1.flow2b + - Controller1.flow2e + - Controller1.dump + - Controller1.h2_out \ No newline at end of file diff --git a/examples/python_api.py b/examples/python_api.py new file mode 100644 index 0000000..19f93ba --- /dev/null +++ b/examples/python_api.py @@ -0,0 +1,5 @@ +from illuminator.engine import Simulation + +sim = Simulation('examples/adder_copy.yaml') + +sim.run() \ No newline at end of file diff --git a/examples/simulation.example.yaml b/examples/simulation.example.yaml index 48ec508..f2cd0a2 100644 --- a/examples/simulation.example.yaml +++ b/examples/simulation.example.yaml @@ -1,10 +1,9 @@ scenario: +# this is only for illustrative purposes, it won't run scuccessfully name: "ExampleScenario" # in mosaik so called world start_time: '2012-01-02 00:00:00' # ISO 8601 start time of the simulation end_time: '2012-01-02 00:00:10' # duration in seconds time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) - results: './out.csv' # optional with default, path to the results file for the scenario. This should be optional -models: # list of models for the energy network - name: Battery1 # name for the model (must be unique) type: Battery # name of the model registered in the Illuminator inputs: @@ -55,7 +54,9 @@ connections: - from: Battery2.output to: PV1.input2 monitor: # a list of models, its inputs, output and states to be monitored and logged -- Battery1.input1 # pattern model_name.state_name -- Battery2.output1 # no duplicates allowed -- PV1.soc # pattern model_name.state_name -- PV1.output1 + file: './out.csv' # optional with default, path to the results file for the scenario. This should be optional + items: + - Battery1.input1 # pattern model_name.state_name + - Battery2.output1 # no duplicates allowed + - PV1.soc # pattern model_name.state_name + - PV1.output1 diff --git a/examples/solar-sample.csv b/examples/solar-sample.csv new file mode 100644 index 0000000..36836dd --- /dev/null +++ b/examples/solar-sample.csv @@ -0,0 +1,8 @@ +Solar_data +Time,G_Gh,G_Dh,G_Bn,Ta,hs,FF,Az +2012-01-01 00:00:00,10,5,0,8.0,5.0,2.0,90.0 +2012-01-01 00:15:00,250,100,200,10.0,20.0,2.5,110.0 +2012-01-01 00:30:00,750,200,600,15.0,45.0,3.0,180.0 +2012-01-01 00:45:00,500,150,400,16.0,30.0,2.8,250.0 +2012-01-01 01:00:00,100,50,50,13.0,10.0,2.2,270.0 +2012-01-01 01:15:00,5,2,0,10.0,0.0,1.5,290.0 \ No newline at end of file diff --git a/examples/wind_test.csv b/examples/wind_test.csv new file mode 100644 index 0000000..1b0364b --- /dev/null +++ b/examples/wind_test.csv @@ -0,0 +1,6 @@ +Charge_data +Time,u +2012-01-01 00:00:00 ,100 +2012-01-01 00:15:00 ,500 +2012-01-01 00:30:00 ,100 +2012-01-01 00:45:00 ,5000 diff --git a/examples/wind_test.yaml b/examples/wind_test.yaml new file mode 100644 index 0000000..28ad112 --- /dev/null +++ b/examples/wind_test.yaml @@ -0,0 +1,39 @@ +scenario: + name: "batteryTest" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + end_time: '2012-01-01 01:00:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) +models: # list of models for the energy network +- name: CSVB # name for the model (must be unique) + type: CSV # name of the model registered in the Illuminator + parameters: # a CSV model must have a start time and a file as parameters + start: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + file_path: './examples/wind_test.csv' # path to the file with the data + delimiter: ',' + date_format: 'YYYY-MM-DD HH:mm:ss' + +- name: Wind1 + type: Wind # models can reuse the same type + parameters: + p_rated: 73548 # Rated power output (kW) of the wind turbine at the rated wind speed and above. + u_rated: 100 # Rated wind speed (m/s) where the wind turbine reaches its maximum power output. + u_cutin: 1 # Cut-in wind speed (m/s) below which the wind turbine does not generate power. + u_cutout: 1000 # Cut-out wind speed (m/s) above which the wind turbine stops generating power to prevent damage. + cp: 0.40 # Coefficient of performance of the wind turbine, typically around 0.40 and never more than 0.59. + diameter: 30 # Diameter of the wind turbine rotor (m), used in calculating the swept area for wind power production. + output_type: 'power' # Output type of the wind generation, either 'power' (kW) or 'energy' (kWh). + inputs: + u: 0 # Wind speed (m/s) at a specific height used to calculate the wind power generation. + outputs: + wind_gen: 0 # Generated wind power output (kW) or energy (kWh) based on the chosen output type (power or energy). + u: 0 # Adjusted wind speed (m/s) at 25m height after converting from the original height (e.g., 100m or 60m). + +connections: +- from: CSVB.u + to: Wind1.u + +monitor: + file: './out_Wind.csv' + items: + - Wind1.wind_gen + - Wind1.u \ No newline at end of file diff --git a/out.csv b/out.csv new file mode 100644 index 0000000..88f8a52 --- /dev/null +++ b/out.csv @@ -0,0 +1,5 @@ +date,CSVB-0.time-based_0-flow2b,Battery1-0.time-based_0-soc +2012-01-01 00:00:00,-40.0,40.0 +2012-01-01 00:00:01,40.0,45.0 +2012-01-01 00:00:02,0.0,45.0 +2012-01-01 00:00:03,-40.0,25.0 diff --git a/out_battery.csv b/out_battery.csv new file mode 100644 index 0000000..a0c3c3d --- /dev/null +++ b/out_battery.csv @@ -0,0 +1,5 @@ +date,CSVB-0.time-based_0-flow2b,Battery1-0.time-based_0-soc +2012-01-01 00:00:00,-40.0,40.0 +2012-01-01 00:15:00,40.0,45.0 +2012-01-01 00:30:00,0.0,45.0 +2012-01-01 00:45:00,-40.0,25.0 diff --git a/pyproject.toml b/pyproject.toml index 28058dc..a55025c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "hatchling.build" [project] name = "illuminator" -version = "3.0.0-alpha.1" +version = "3.0.0-beta" description = "A development toolkit for simulating energy systems" license = {file = "LICENSE"} readme = "readme.md" diff --git a/simple_test2.yaml b/simple_test2.yaml new file mode 100644 index 0000000..9283edc --- /dev/null +++ b/simple_test2.yaml @@ -0,0 +1,43 @@ +scenario: + name: "SimpleTest" # in mosaik so called world + start_time: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + end_time: '2012-01-01 01:00:00' # duration in seconds + time_resolution: 900 # time step in seconds (optional). Defaults to 15 minutes (900 s) +models: # list of models for the energy network +- name: CSVB # name for the model (must be unique) + type: CSV # name of the model registered in the Illuminator + parameters: # a CSV model must have a start time and a file as parameters + start: '2012-01-01 00:00:00' # ISO 8601 start time of the simulation + datafile: './tests/data/solar-sample.csv' # path to the file with the data +- name: PV + type: PvAdapter # models can reuse the same type + inputs: + G_Gh: null # are meant to ovewrite initial values + G_Dh: null + G_Bn: null + Ta: null + hs: null + FF: null + Az: null + outputs: + G_Gh: null +connections: +- from: CSVB.G_Gh # start model, pattern: model_name.output_name/input_name + to: PV.G_Gh # end model +- from: CSVB.G_Dh + to: PV.G_Dh +- from: CSVB.G_Bn + to: PV.G_Bn +- from: CSVB.Ta + to: PV.Ta +- from: CSVB.hs + to: PV.hs +- from: CSVB.FF + to: PV.FF +- from: CSVB.Az + to: PV.Az +monitor: + file: './out_test2.csv' # optional with default, path to the results file for the scenario. This should be optional # a list of models, its inputs, output and states to be monitored and logged + items: + - PV.pv_gen + - PV.G_Dh \ No newline at end of file diff --git a/src/illuminator/builder/model.py b/src/illuminator/builder/model.py index 9d8adaa..f97dc47 100644 --- a/src/illuminator/builder/model.py +++ b/src/illuminator/builder/model.py @@ -4,6 +4,7 @@ from enum import Enum from datetime import datetime import illuminator.engine as engine +from mosaik_api_v3 import Simulator class SimulatorType(Enum): TIME_BASED = 'time-based' @@ -29,10 +30,10 @@ class IlluminatorModel(): Properties of the object being modeled, e.g. material the object is made of. inputs: dict - One or more name:value pairs to be regarded as inputs to the model. + One or more name: value pairs to be regarded as inputs to the model. Inputs allow users to connect a model to other models. outputs: dict - One or more name:value pairs to be regarded as outputs of the model. + One or more name: value pairs to be regarded as outputs of the model. Outputs allow users to connect a model to other models. states: dict One or more 'parameters, inputs or outputs' and their initial value @@ -44,9 +45,11 @@ class IlluminatorModel(): simulator_type: SimulatorType The type of simulator that the model belongs to. time_step_size: int - The time step size for the simulator. + The time of each simulation step in seconds. Default 900. time: int The current time of the simulation. + model_type: str + A name for the class of model that is being defined. Default 'Model'. """ parameters: Dict = field(default_factory=dict) @@ -54,14 +57,17 @@ class IlluminatorModel(): outputs: Dict = field(default_factory=dict) states: Dict = field(default_factory=dict) triggers: Optional[Dict] = field(default_factory=list) - simulator_type: SimulatorType = SimulatorType.HYBRID - time_step_size: int = 15 # This is closely related to logic in the step method. Currently, all models have the same time step size (15 minutes). This is a global setting for the simulation, not a model-specific setting. + simulator_type: SimulatorType = SimulatorType.TIME_BASED + time_step_size: int = 1 # This is closely related to logic in the step method. + # Currently, all models have the same time step size (15 minutes). + # This is a global setting for the simulation, not a model-specific setting. time: Optional[datetime] = None # Shouldn't be modified by the user. - model_type: Optional[str] = "Model" + model_type: Optional[str] = "Model" + def __post_init__(self): - self.validate_states() - self.validate_triggers() + self._validate_states() + self._validate_triggers() # self.validate_simulator_type() @property @@ -71,15 +77,15 @@ def simulator_meta(self) -> dict: meta = { 'type': self.simulator_type.value, 'models': { - self.model_type : { + self.model_type: { # This must be the name of he model 'public': True, 'params': list(self.parameters.keys()), - 'attrs': list(self.outputs.keys()) + 'attrs': list(self.inputs.keys()) + list(self.outputs.keys()) } }} return meta - def validate_states(self): + def _validate_states(self): """Check if items in 'states' are in parameters, inputs or outputs""" for state in self.states: if state not in self.parameters and state not in self.inputs and \ @@ -87,14 +93,14 @@ def validate_states(self): raise ValueError(f"State: {state} must be either a parameter, " "an input or an output") - def validate_triggers(self): + def _validate_triggers(self): """Check if triggers are in inputs or outputs""" for trigger in self.triggers: if trigger not in self.inputs and trigger not in self.outputs: raise ValueError(f"Trigger: {trigger} must be either an input " "or an output") - def validate_simulator_type(self): + def _validate_simulator_type(self): """Check if triggers are defined for time-based and event-based simulations only """ @@ -107,7 +113,10 @@ def validate_simulator_type(self): raise ValueError("Triggers are required in event-based simulators") -from mosaik_api_v3 import Simulator +# COTINUE FROM HERE +# need to find a convenient an easy way to define new models +# Ideas: +# - add model definition as a method of the ModelConstructor class. will it work? class ModelConstructor(ABC, Simulator): """A common interface for constructing models in the Illuminator""" @@ -116,17 +125,22 @@ def __init__(self, **kwargs) -> None: #model: IlluminatorModel model_vals = engine.current_model model = IlluminatorModel( - parameters=model_vals['parameters'], - inputs=model_vals["inputs"], - outputs=model_vals["outputs"], - states={}, - model_type=model_vals["type"] + parameters=model_vals.get('parameters', self.parameters), # get the yaml values or the default from the model + inputs=model_vals.get('inputs', self.inputs), + outputs=model_vals.get('outputs', self.outputs), + states=model_vals.get('states', self.states), + model_type=model_vals.get('type', {}), + time_step_size=model_vals.get('time_step_size', self.time_step_size) ) super().__init__(meta=model.simulator_meta) self._model = model self.model_entities = {} self.time = 0 # time is an interger wihout a unit + # we want the parameters to be directly accesible for the simulator + for key, value in self._model.parameters.items(): + setattr(self, key, value) + @abstractmethod def step(self, time:int, inputs:dict=None, max_advance:int=None) -> int: """Defines the computations that need to be performed in each @@ -142,6 +156,7 @@ def step(self, time:int, inputs:dict=None, max_advance:int=None) -> int: Time until the simulator can safely advance its internal time without creating a causality error. Optional in most cases. + Returns ------- int @@ -151,6 +166,8 @@ def step(self, time:int, inputs:dict=None, max_advance:int=None) -> int: pass def init(self, sid, time_resolution=1, **sim_params): # can be use to update model parameters set in __init__ + # TODO: from engine.py, time_resolution is never passed + print(f"running extra init") # This is the standard Mosaik init method signature self.sid = sid @@ -182,7 +199,7 @@ def current_time(self): pass # TODO: implement this method - def get_data(self) -> Dict: + def get_data(self, outputs) -> Dict: # TODO remove the print statements here """Expose model outputs and states to the simulation environment Returns @@ -191,8 +208,11 @@ def get_data(self) -> Dict: A dictionary of model outputs and states. """ data = {} - - for eid, attrs in self._model.outputs.items(): + # print(f"Here are your outputs: {outputs}") + # for eid, attrs in self._model.outputs.items(): + for eid, attrs in outputs.items(): + # print(f"eid: {eid}, attrs:{attrs}") + # print(f"self.model_entities: {self.model_entities}") model_instance = self.model_entities[eid] data[eid] = {} for attr in attrs: @@ -200,10 +220,20 @@ def get_data(self) -> Dict: data[eid][attr] = model_instance.outputs[attr] else: data[eid][attr] = model_instance.states[attr] - + # print(f"data: {data}") return data + def unpack_inputs(self, inputs): + data = {} + for attrs in inputs.values(): + for attr, sources in attrs.items(): + values = list(sources.values()) # we expect each attribute to just have one sources (only one connection per input) + if len(values) > 1: + raise RuntimeError(f"Why are you passing multiple values {value}to a single input? ") + data[attr] = values[0] + return data + if __name__ == "__main__": pass \ No newline at end of file diff --git a/src/illuminator/cli/main.py b/src/illuminator/cli/main.py index 6e840d7..07f9f6d 100644 --- a/src/illuminator/cli/main.py +++ b/src/illuminator/cli/main.py @@ -11,6 +11,7 @@ from illuminator.schema.simulation import load_config_file from illuminator.engine import Simulation + APP_NAME = "illuminator" DEFAULT_PORT = 5123 RUN_PATH = './Desktop/illuminatorclient/configuration/runshfile/' @@ -29,7 +30,6 @@ def scenario_run(config_file: Annotated[str, typer.Argument(help="Path to scenar simulation = Simulation(config_file) simulation.run() - @cluster_app.command("build") def cluster_build(config_file: Annotated[str, typer.Argument(help="Path to scenario configuration file.")] = "config.yaml"): diff --git a/src/illuminator/engine.py b/src/illuminator/engine.py index 178d126..7221018 100644 --- a/src/illuminator/engine.py +++ b/src/illuminator/engine.py @@ -63,15 +63,15 @@ def apply_default_values(config_simulation: dict) -> dict: """ # defaults - time_resolution = {'time_resolution': 900} # 15 minutes - out_file = {'file': './out.csv'} - # TODO: set other default values + # time_resolution = {'time_resolution': 900} # 15 minutes + # out_file = {'file': './out.csv'} + # # TODO: set other default values - if 'time_resolution' not in config_simulation['scenario']: - config_simulation.update(time_resolution) - # file to store the results - if 'file' not in config_simulation['monitor']: - config_simulation.update(out_file) + # if 'time_resolution' not in config_simulation['scenario']: + # config_simulation.update(time_resolution) + # # file to store the results + # if 'file' not in config_simulation['monitor']: + # config_simulation.update(out_file) #TODO: Write a unit test for this return config_simulation @@ -169,22 +169,23 @@ def start_simulators(world: MosaikWorld, models: list) -> dict: if model_type == 'CSV': # the CVS model is a special model used to read data from a CSV file - if 'start' not in model_parameters.keys() or 'datafile' not in model_parameters.keys(): - raise ValueError("The CSV model requires 'start' and 'datafile' parameters. Check your YAML configuration file.") + if 'start' not in model_parameters.keys() or 'file_path' not in model_parameters.keys(): + raise ValueError("The CSV model requires 'start' and 'file_path' parameters. Check your YAML configuration file.") simulator = world.start(sim_name=model_name, - sim_start=model_parameters['start'], datafile=model_parameters['datafile']) + sim_start=model_parameters['start'], datafile=model_parameters['file_path'], sim_params={model_name: model}) model_factory = getattr(simulator, model_type) entity = model_factory.create(num=1) else: - simulator = world.start(sim_name=model_name, - # **model_parameters - model_name = model_name, - sim_params= {model_name: model} # This value gets picked up in the init() function - # Some items must be passed here, and some other at create() - ) + # simulator = world.start(sim_name=model_name, + # # **model_parameters + # model_name = model_name, + # sim_params= {model_name: model} # This value gets picked up in the init() function + # # Some items must be passed here, and some other at create() + # ) + simulator = world.start(sim_name=model_name, sim_params={model_name: model}) # TODO: make all parameters in create() **kwargs # TODO: model_type must match model name in META for the simulator @@ -210,7 +211,7 @@ def start_simulators(world: MosaikWorld, models: list) -> dict: # cap=500, # output_type='power' # ) - entity = model_factory.create(num=1, param1="Not in use") + entity = model_factory.create(num=1, **model_parameters) model_entities[model_name] = entity print(model_entities) @@ -218,7 +219,8 @@ def start_simulators(world: MosaikWorld, models: list) -> dict: return model_entities -def build_connections(world:MosaikWorld, model_entities: dict[MosaikEntity], connections: list[dict]) -> MosaikWorld: +def build_connections(world:MosaikWorld, model_entities: dict[MosaikEntity], connections: list[dict], + models: list[dict]) -> MosaikWorld: # TODO: limit model_config to only models """ Connects the model entities in the Mosaik world based on the connections specified in the YAML configuration file. @@ -230,6 +232,8 @@ def build_connections(world:MosaikWorld, model_entities: dict[MosaikEntity], con A dictionary of model entities created for the Mosaik world. connections: list A list of connections to be established between the model entities. + models: list + The models involved in the connections based on the configuration file. Returns ------- @@ -241,13 +245,24 @@ def build_connections(world:MosaikWorld, model_entities: dict[MosaikEntity], con for connection in connections: from_model, from_attr = connection['from'].split('.') to_model, to_attr = connection['to'].split('.') - + # TODO: check if this will work for the cases in which there are not time_shifted connections + to_model_config = next((m for m in models if m['name'] == to_model)) + time_shifted = connection['time_shifted'] # Establish connections in the Mosaik world try: - world.connect(model_entities[from_model][0], # entities for the same model type - # are handled separately. Therefore, the entities list of a model only contains a single entity - model_entities[to_model][0], - (from_attr, to_attr)) + # entities for the same model type are handled separately. Therefore, the entities list of a model only contains a single entity + if time_shifted: + world.connect(model_entities[from_model][0], + model_entities[to_model][0], + (from_attr, to_attr), + time_shifted=True, + initial_data={from_attr: to_model_config['inputs'][to_attr]}) + # set the initial value for the connection to equal the initial value of the model + else: + world.connect(model_entities[from_model][0], # entities for the same model type + # are handled separately. Therefore, the entities list of a model only contains a single entity + model_entities[to_model][0], + (from_attr, to_attr)) except KeyError as e: print(f"Error: {e}. Check the 'connections' in the configuration file for errors.") exit(1) @@ -286,10 +301,40 @@ def compute_mosaik_end_time(start_time:str, end_time:str, time_resolution:int = def set_current_model(model): global current_model - current_model["type"] = model['type'] - current_model['parameters']=model['parameters'] - current_model['inputs']=model["inputs"] - current_model['outputs']=model["outputs"] + try: + current_model["type"] = model['type'] + except KeyError as e: + print(f"Warning: Missing 'type' key in model. {e}") + except Exception as e: + print(f"Warning: An error occurred while assigning 'type'. {e}") + + try: + current_model['parameters'] = model['parameters'] + except KeyError as e: + print(f"Warning: Missing 'parameters' key in model. {e}") + except Exception as e: + print(f"Warning: An error occurred while assigning 'parameters'. {e}") + + try: + current_model['inputs'] = model["inputs"] + except KeyError as e: + print(f"Warning: Missing 'inputs' key in model. {e}") + except Exception as e: + print(f"Warning: An error occurred while assigning 'inputs'. {e}") + + try: + current_model['outputs'] = model["outputs"] + except KeyError as e: + print(f"Warning: Missing 'outputs' key in model. {e}") + except Exception as e: + print(f"Warning: An error occurred while assigning 'outputs'. {e}") + + try: + current_model['time_step_size'] = model["time_step_size"] + except KeyError as e: + print(f"Warning: Missing 'time_step_size' key in model. {e}") + except Exception as e: + print(f"Warning: An error occurred while assigning 'time_step_size'. {e}") def connect_monitor(world: MosaikWorld, model_entities: dict[MosaikEntity], @@ -379,7 +424,7 @@ def run(self): model_entities = start_simulators(world, config['models']) # Connect the models based on the connections specified in the configuration - world = build_connections(world, model_entities, config['connections']) + world = build_connections(world, model_entities, config['connections'], config['models']) # Connect monitor world = connect_monitor(world, model_entities, monitor, config['monitor']) diff --git a/src/illuminator/models/Battery/battery_mosaik.py b/src/illuminator/models/Battery/battery_mosaik.py index c22234e..30c6ead 100644 --- a/src/illuminator/models/Battery/battery_mosaik.py +++ b/src/illuminator/models/Battery/battery_mosaik.py @@ -1,12 +1,13 @@ # only can build one battery model import mosaik.scheduler -import mosaik_api -try: - import Models.Battery.battery_model as batterymodelset -except ModuleNotFoundError: - import battery_model as batterymodelset -else: - import Models.Battery.battery_model as batterymodelset +import mosaik_api_v3 as mosaik_api +# try: +import illuminator.models.Battery.battery_model as batterymodelset +# except ModuleNotFoundError: +# import battery_model as batterymodelset +# else: +# import Models.Battery.battery_model as batterymodelset + import pandas as pd #todo: convert this battery model simAPI to a controller api. This becomes a mosaik API to start the battery and the electrolyser. @@ -332,5 +333,9 @@ def get_data(self, outputs:dict) -> dict: def main(): mosaik_api.start_simulation(BatteryholdSim(), 'Battery-Simulator') + import mosaik_api_v3 + + mosaik_api_v3.start_simulation() + if __name__ == "__main__": main() diff --git a/src/illuminator/models/Battery/battery_v3.py b/src/illuminator/models/Battery/battery_v3.py new file mode 100644 index 0000000..d943d21 --- /dev/null +++ b/src/illuminator/models/Battery/battery_v3.py @@ -0,0 +1,279 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor +import arrow + + +# Define the model parameters, inputs, outputs... +# TODO: Currently if a value or category isn't defined in the yaml it doesn't default to the ones below, it simply doesn't run. +battery = IlluminatorModel( + parameters={'max_p': 150, # maximum charging power limit (kW) + 'min_p': 250, # maximum discharging power limit (kW) + 'max_energy': 50, # maximum energy storage capacity of the battery (kWh) + 'charge_efficiency': 90, # efficiency of charging the battery (%) + 'discharge_efficiency': 90, # efficiency of discharging the battery (%) + 'soc_min': 3, # minimum allowable state of charge for the battery (%) + 'soc_max': 80, # maximum allowable state of charge for the battery (%) + #'resolution': 1 # time resolution for simulation steps (seconds) + }, + inputs={'flow2b': 0, # power flow to/from the battery. Positive for charging, negative for discharging (kW) + }, + outputs={'p_out': 20, # output power from the battery after discharge/charge decision (Kw) + 'p_in': 20, # input power to the battery (kW) + 'soc': 0, # updated state of charge after battery operation (%) + 'mod': 0, # operation mode: 0=no action, 1=charge, -1=discharge + 'flag': -1, # flag indicating battery status: 1=fully charged, -1=fully discharged, 0=available for control + }, + states={'soc': 0, + 'flag': 0 + }, + time_step_size=1, + time=None +) + +# construct the model +class Battery(ModelConstructor): + parameters={'max_p': 150, # maximum charging power limit (kW) + 'min_p': 250, # maximum discharging power limit (kW) + 'max_energy': 50, # maximum energy storage capacity of the battery (kWh) + 'charge_efficiency': 90, # efficiency of charging the battery (%) + 'discharge_efficiency': 90, # efficiency of discharging the battery (%) + 'soc_min': 3, # minimum allowable state of charge for the battery (%) + 'soc_max': 80, # maximum allowable state of charge for the battery (%) + #'resolution': 1 # time resolution for simulation steps (seconds) + } + inputs={'flow2b': 0, # power flow to/from the battery. Positive for charging, negative for discharging (kW) + } + outputs={'p_out': 20, # output power from the battery after discharge/charge decision (Kw) + 'p_in': 20, # input power to the battery (kW) + 'soc': 0, # updated state of charge after battery operation (%) + 'mod': 0, # operation mode: 0=no action, 1=charge, -1=discharge + 'flag': -1, # flag indicating battery status: 1=fully charged, -1=fully discharged, 0=available for control + } + states={'soc': 0, + 'flag': 0 + } + time_step_size=1 + time=None + + + def step(self, time, inputs, max_advance=900) -> None: + self.charge_efficiency = self._model.parameters.get('charge_efficiency')/100 + self.discharge_efficiency = self._model.parameters.get('discharge_efficiency')/100 + # charge the battery + print("\nBattery") + print("inputs (passed): ", inputs) + print("inputs (internal): ", self._model.inputs) + input_data = self.unpack_inputs(inputs) + print("input_data: ", input_data) + + current_time = time * self.time_resolution + print('from battery %%%%%%%%', current_time) + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + + print('state of charge: ', self._model.outputs['soc']) + + self._cache = {} + # if input_data['flow2b'] != 0: + #raghav: In this model, the input should come from the controller p_ask + self._cache[eid] = self.output_power(input_data['flow2b'], self._model.outputs['soc']) + + # self._cache[eid] = self.entities[eid].output_power(energy_ask, self.soc[eid]) # * max_advance if trigger + + # print(self._cache[eid]) + # [p_out:,soc:,flag:] + self._model.outputs['soc'] = self._cache[eid]['soc'] + self._model.outputs['flag'] = self._cache[eid]['flag'] + # check = list(self.soc.values()) + # check2 = check[0] # this is so that the value that battery sends is dictionary and not a dictionary of a dictionary. + # out = yield self.mosaik.set_data({'Battery-0': {'Controller-0.ctrl_0': {'soc': check2}}}) # this code is supposed to hold the soc value and + print("new state of charge:", self.soc) + print('\n') + return time + self._model.time_step_size + + def parse_inputs(self, inputs): + # TODO: Move this function to model.py to unpack the inputs, for now we will keep it model specific. + data = {} + for attrs in inputs.values(): + for attr, sources in attrs.items(): + values = list(sources.values()) # we expect each attribute to just have one sources (only one connection per input) + if len(values) > 1: + raise RuntimeError(f"Why are you passing multiple values {value}to a single input? ") + data[attr] = values[0] + return data + + + # this method is called from the output_power method when conditions are met. + def discharge_battery(self, flow2b:int) -> dict: #flow2b is in kw + """ + Discharge the battery, calculate the state of charge and return parameter information + + ... + + Parameters + ---------- + flow2b : int + (???) in kW + + Returns + ------- + re_params : dict + Collection of parameters and their respective values + """ + hours = self.time_resolution / 60 / 60 + flow = max(self.min_p, flow2b) + if (flow < 0): + energy2discharge = flow * hours / self.discharge_efficiency # (-ve) + energy_capacity = ((self.soc_min - self.soc) / 100) * self.max_energy + if self.soc <= self.soc_min: + self.flag = -1 + self.powerout = 0 + else: + if energy2discharge > energy_capacity: + # more than enough energy to discharge + # Check if minimum energy of the battery is reached -> Adjust power if necessary + self.soc = self.soc + (energy2discharge / self.max_energy * 100) + self.powerout = flow + self.flag = 0 # Set flag as ready to discharge or charge + + else: # Fully-discharge Case + self.powerout = energy_capacity / self.discharge_efficiency / hours + # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') + self.soc = self.soc_min + self.flag = -1 # Set flag as 1 to show fully discharged state + self.soc = round(self.soc, 3) + re_params = {'p_out': self.powerout, + # 'energy_drain': output_show, + # 'energy_consumed': 0, + 'p_in': flow, + 'soc': self.soc, + 'mod': -1, + 'flag': self.flag} + #'i_soc': self.i_soc} + + # here we are returning the values of these parameters which will be needed by another python model + return re_params + + + def charge_battery(self, flow2b:int) -> dict: + """ + Charge the battery, calculate the state of charge and return parameter information + + ... + + Parameters + ---------- + flow2b : int + (???) in kW + + Returns + ------- + re_params : dict + Collection of parameters and their respective values + """ + hours = self.time_resolution / 60 / 60 + flow = min(self.max_p, flow2b) + if (flow > 0): + energy2charge = flow * hours * self.charge_efficiency # (-ve) + energy_capacity = ((self.soc_max - self.soc) / 100) * self.max_energy + if self.soc >= self.soc_max: + self.flag = 1 + self.powerout = 0 + else: + if energy2charge <= energy_capacity: + self.soc = self.soc + (energy2charge / self.max_energy * 100) + self.powerout = flow + self.flag = 0 # Set flag as ready to discharge or charge + + else: # Fully-charge Case + self.powerout = energy_capacity / self.charge_efficiency / hours + # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') + self.soc = self.soc_max + self.flag = 1 # Set flag as 1 to show fully discharged state + self.soc = round(self.soc, 3) + re_params = {'p_out': self.powerout, + # 'energy_consumed': output_show, + # 'energy_drain': 0, + 'p_in': flow, + 'soc': self.soc, + 'mod': 1, + 'flag': self.flag} + + return re_params + + +# this method is like a controller which calls a method depending on the condition. +# first, this is checked. As per the p_ask and soc, everything happens. +# p_ask and soc are the parameters whos values we have to provide when we want to create an object of this class. i.e, + # when we want to make a battery model. + def output_power(self, flow2b:int, soc:int) -> dict:#charging power: positive; discharging power:negative + """ + Gives information depending on the current flow2b and soc value. + If there is no power demand it gives in current battery state of charge information. + If there is a negative demand for power then it discharged the battery. Alternatively it charges the battery. + + ... + + Parameters + ---------- + flow2b : int + ??? + soc : int + The current state of charge (SOC) + + Returns + ------- + re_params : dict + Collection of parameters and their respective values + """ + self.soc = soc # here we assign the value of soc we provide to the attribute self.soc + data_ret = {} + # {'p_out', + # 'soc', + # 'mod', # 0 = noaction,1 = charge,-1=discharge + # 'flag',} # 1 means full charge, -1 means full discharge, 0 means available for control + # conditions start: + if flow2b == 0: # i.e when there isn't a demand of power at all, + + # soc can never exceed the limit so when it is equal to the max, we tell it is completely charged + if self.soc >= self.soc_max: + self.flag = 1 # meaning battery object we created is fully charged + + # soc can never exceed the limit so when it is equal to the min, we tell it is completely discharged + elif self.soc <= self.soc_min: + self.flag = -1 + + # if the soc is between the min and max values, it is ready to be discharged or charged as per the situation + else: + self.flag = 0 # meaning it is available to operate. + + # here we are sending the current state of the battery + re_params={'p_out': 0, + # 'energy_drain': 0, + # 'energy_consumed': 0, + 'p_in': 0, + 'soc': self.soc, + 'mod': 0, + 'flag': self.flag} + else: + # if the p_ask is a -ve value, it means battery needs to discharge. + if flow2b < 0: #discharge + + # Can the battery discharge or not depends on the current state of the battery for which we call the + # method discharge_battery. If the p_ask < 0 condition is met, the program directly goes the method. + re_params = self.discharge_battery(flow2b) + + # other option is for p_ask to be > 0 which means we need to charge. + else: + + # Can the battery charge depends on the current state of the battery for which we call the + # method charge_battery. If the p_ask > 0 condition is met, the program directly goes the method. + re_params = self.charge_battery(flow2b) + + + return re_params + +if __name__ == '__main__': + # Create a model by inheriting from ModelConstructor + # and implementing the step method + battery_model = Battery(battery) + + print(battery_model.step(1)) \ No newline at end of file diff --git a/src/illuminator/models/CSV_reader_v3.py b/src/illuminator/models/CSV_reader_v3.py new file mode 100644 index 0000000..17e8fa6 --- /dev/null +++ b/src/illuminator/models/CSV_reader_v3.py @@ -0,0 +1,202 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor +import arrow +from illuminator.engine import current_model + +# Define the model parameters, inputs, outputs... +csv = IlluminatorModel( + parameters={'time_resolution': None, + 'start': None, + 'date_format': None, + 'delimiter': ',', + 'datafile': None, + }, + inputs={}, + outputs={'next_row'}, + states={'next_row'}, + time_step_size=1, + time=None +) + +# construct the model +class CSV(ModelConstructor): + + parameters={'start': 0, + 'date_format': '', + 'delimiter': ',', + 'datafile': '', + } + inputs={} + outputs={'next_row': ''} + states={} + time_step_size=1 + time=None + + # start_date = None + # date_format = None + # delimiter = None + # datafile = None + # next_row = None + # modelname = None + # attrs = None + # #self.eids = [] + # cache = None + + def __init__(self, **kwargs) -> None: + super().__init__(**kwargs) + self.delimiter = self._model.parameters.get('delimiter') + self.date_format = self._model.parameters.get('date_format') + self.start_date = arrow.get(self._model.parameters.get('start'), self.date_format) + self.next_date = self.start_date + self.file_path = self._model.parameters.get('file_path') + + # Open the CSV file for reading + self.datafile = open(self.file_path, 'r') + #self.modelname = 'CSV' + + next(self.datafile).strip() # Skip header line + # Get attribute names and strip optional comments + attrs = next(self.datafile).strip().split(self.delimiter)[1:] # get rid of the TIME column + for i, attr in enumerate(attrs): + try: + # Try stripping comments + attr = attr[:attr.index('#')] + except ValueError: + pass + attr = attr.strip() + attrs[i] = attr + current_model.setdefault('outputs', {})[attr] = None # add attribute to output + self.attrs = attrs + super().__init__(**kwargs) # re-initialise the outputs now that new outputs are configured + + self._read_next_row() + if self.start_date < self.next_row[0]: + raise ValueError('Start date "%s" not in CSV file.' % + self.start_date.format(self.date_format)) + while self.start_date > self.next_row[0]: + self._read_next_row() + if self.next_row is None: + raise ValueError('Start date "%s" not in CSV file.' % + self.start_date.format(self.date_format)) + + # + # run super().init(self, sid, time_resolution=1, **sim_params) + + + def init(self, sid, time_resolution=1, **sim_params): + print("check") + meta = super().init(sid, time_resolution, **sim_params) + return meta + + + def step(self, time, inputs, max_advance=900) -> None: + """ + Perform one step of the simulation. + + Parameters: + ----------- + time : int + The current time of the simulation. + inputs : dict + Input values for the simulation step. + max_advance : int + Maximum time the simulator can advance (default is 900 seconds). + + Returns: + -------- + int + The next simulation time. + + TODO check if possible: update output directly and delete get_data() + """ + data = self.next_row + print("NEW CSV DATA: ", data) + if data is None: + raise IndexError('End of CSV file reached.') + + # Check date + date = data[0] + expected_date = self.start_date.shift(seconds=time * self.time_step_size * self.time_resolution) # start date + number of calls * iterations per call * time per iteration, aka time per call + if date != expected_date: + raise IndexError(f'Wrong date "{date}", expected "{expected_date}"') + + # Put data into the cache for get_data() calls + self.cache = {} + for attr, val in zip(self.attrs, data[1:]): + self.cache[attr] = float(val) + + self._read_next_row() + if self.next_row is not None: + return time + self.time_step_size # int((self.next_row[0].int_timestamp - date.int_timestamp) / self.time_step_size) + else: + return max_advance + + + def get_data(self, outputs:dict) -> dict: + """ + Return the data for the requested attributes in `outputs` + + ... + + Parameters + ---------- + outputs : dict + Maps entity IDs to lists of attribute names whose values are requested:: + + { + 'eid_1': ['attr_1', 'attr_2', ...], + ... + } + + Returns + ------- + data : dict + The return value is a dict of dicts mapping entity IDs and attribute names to their values:: + + { + 'eid_1: { + 'attr_1': 'val_1', + 'attr_2': 'val_2', + ... + }, + ... + 'time': output_time (for event-based sims, optional) + } + + See Also + -------- + Time-based simulators have set an entry for all requested attributes, whereas for event-based and hybrid simulators this is optional (e.g. + if there's no new event). Event-based and hybrid simulators can optionally set a timing of their non-persistent output attributes via a *time* entry, which is valid + for all given (non-persistent) attributes. If not given, it defaults to the current time of the step. Thus only one output time is possible + per step. For further output times the simulator has to schedule another self-step (via the step's return value). + """ + data = {} + for eid, attrs in outputs.items(): + if eid not in self.model_entities: + raise ValueError('Unknown entity ID "%s"' % eid) + + data[eid] = {} + for attr in attrs: + data[eid][attr] = self.cache[attr] + + return data + + def _read_next_row(self) -> None: + """ + Reads the next row within the file object. + """ + try: + self.next_row = next(self.datafile).strip().split(self.delimiter) + self.next_row[0] = arrow.get(self.next_row[0], self.date_format) + except StopIteration: + self.next_row = None + + def finalize(self) -> None: + """ + Closes the file object within `self.datafile`. + """ + self.datafile.close() + +if __name__ == '__main__': + csv_model = CSV(csv) + + print(csv_model.step(1)) \ No newline at end of file diff --git a/src/illuminator/models/Controller/controller_v3.py b/src/illuminator/models/Controller/controller_v3.py new file mode 100644 index 0000000..4d5965a --- /dev/null +++ b/src/illuminator/models/Controller/controller_v3.py @@ -0,0 +1,121 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor + +# construct the model +class Controller(ModelConstructor): + + parameters={'soc_min': 0, # Minimum state of charge of the battery before discharging stops + 'soc_max': 100, # Maximum state of charge of the battery before charging stops + 'h2_soc_min': 0, # Minimum state of charge of the hydrogen storage before discharging stops + 'h2_soc_max': 100, # Maximum state of charge of the hydrogen storage before charging stops + 'fc_eff': 100 # Efficiency of the fuel cell + } + inputs={'wind_gen': 0, # Wind power generation + 'pv_gen': 0, # Solar power generation + 'load_dem': 0, # Electrical load demand + 'soc': 0, # State of charge of the battery + 'h2_soc': 0 # State of charge of the hydrogen storage + } + outputs={'flow2b': 0, # Power flow to/from battery (positive for charging, negative for discharging) + 'flow2e': 0, # Power flow to the electrolyzer for hydrogen production + 'dump': 0, # Excess power that cannot be stored or used + 'h2_out': 0 # Hydrogen output from fuel cell to meet demand (positive if used, zero otherwise) + } + states={} + + # define other attributes + time_step_size = 1 + time = None + flow_b = 0 # Internal state representing the power flow to/from battery + flow_e = 0 # internal state representing the power flow to the electrolyzer + dump = 0 # Internal state representing excess power + h_out = 0 # Internal state representing the hydrogen output from the fuel cell to meet the demand + + # define step function + def step(self, time, inputs, max_advance=1) -> None: # step function always needs arguments self, time, inputs and max_advance. Max_advance needs an initial value. + + input_data = self.unpack_inputs(inputs) # make input data easily accessible + self.time = time + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + + current_time = time * self.time_resolution + print('from controller %%%%%%%%%%%', current_time) + + results = self.control( + wind_gen=input_data['wind_gen'], + pv_gen=input_data['pv_gen'], + load_dem=input_data['load_dem'], + soc=input_data['soc'], + h2_soc=input_data.get('h2_soc', 0) + ) + + + self._model.outputs['flow2b'] = results['flow2b'] + self._model.outputs['flow2e'] = results['flow2e'] + self._model.outputs['dump'] = results['dump'] + self._model.outputs['h2_out'] = results['h2_out'] + + + # return the time of the next step (time untill current information is valid) + return time + self._model.time_step_size + + + def control(self, wind_gen:float, pv_gen:float, load_dem:float, soc:int, h2_soc:int) -> dict: + """ + Checks the state of flow based on wind and solar energy generation compared to demand. + + ... + + Parameters + ---------- + wind_gen : float + ??? + pv_gen : float + ??? + load_dem : float + ??? + soc : int + Value representing the state of charge (SOC) + h2_soc : int + ??? + + Returns + ------- + re_params : dict + Collection of parameters and their respective values + """ + self.soc_b = soc + self.soc_h = h2_soc + flow = wind_gen + pv_gen - load_dem # kW + + if flow < 0: # means that the demand is not completely met and we need support from battery and fuel cell + if self.soc_b > self.soc_min: # checking if soc is above minimum. It can be == to soc_max as well. + self.flow_b = flow + self.flow_e = 0 + self.h_out = 0 + + elif self.soc_b <= self.soc_min: + self.flow_b = 0 + q = 39.4 + self.h_out = (flow / q) / self.fc_eff + + print('Battery Discharged') + + + elif flow > 0: # means we have over generation and we want to utilize it for charging battery and storing hydrogen + if self.soc_b < self.soc_max: + self.flow_b = flow + self.flow_e = 0 + self.h_out = 0 + elif self.soc_b == self.soc_max: + self.flow_b = 0 + if self.soc_h < self.h2_soc_max: + self.flow_e = flow + self.dump = 0 + self.h_out = 0 + elif self.soc_h == self.h2_soc_max: + self.flow_e = 0 + self.dump = flow + self.h_out = 0 + + re_params = {'flow2b': self.flow_b, 'flow2e': self.flow_e, 'dump': self.dump, 'h2_out':self.h_out} + return re_params \ No newline at end of file diff --git a/src/illuminator/models/Load/load_v3.py b/src/illuminator/models/Load/load_v3.py new file mode 100644 index 0000000..5dff1b4 --- /dev/null +++ b/src/illuminator/models/Load/load_v3.py @@ -0,0 +1,103 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor + +# Define the model parameters, inputs, outputs... +load = IlluminatorModel( + parameters={'houses': 1, # number of houses that determine the total load demand + 'output_type': 'power', # type of output for consumption calculation ('energy' or 'power') + }, + inputs={'load': 0}, # incoming energy or power demand per house kW + outputs={'load_dem': 0, # total energy or power consumption for all houses (kWh) over the time step + 'consumption': 0, # Current energy or power consumption based on the number of houses and input load (kWh) + 'time': None, # Current simulation time step in seconds + 'forecast': None # Forecasted load demand (if applicable, not defined in the code but mentioned in META) + }, + states={'consumption': 0, + 'time': None, + 'forecast': None + }, + time_step_size=1, + time=None +) + +# construct the model + +## TODO MODEL DOES NOT MAKE SENSE (INPUTS AND OUTPUTS ARE NOT CERRECTLY DOCUMENTED AND CALCULATED) +class Load(ModelConstructor): + parameters={'houses': 1, # number of houses that determine the total load demand + 'output_type': 'power', # type of output for consumption calculation ('energy' or 'power') + } + inputs={'load': 0} # incoming energy or power demand per house kW + outputs={'load_dem': 0, # total energy or power consumption for all houses (kWh) over the time step + 'consumption': 0, # Current energy or power consumption based on the number of houses and input load (kWh) + 'time': None, # Current simulation time step in seconds + 'forecast': None # Forecasted load demand (if applicable, not defined in the code but mentioned in META) + } + states={'consumption': 0, + 'time': None, + 'forecast': None + } + time_step_size=1 + time=None + + + def step(self, time, inputs, max_advance=1) -> None: + # TODO all step definitions should have max_advance! + + input_data = self.unpack_inputs(inputs) + self.time = time + # current_time = (self.start + + # pd.Timedelta(time * self.time_resolution, + # unit='seconds')) # timedelta represents a duration of time + current_time = time * self.time_resolution + print('from load %%%%%%%%%%%', current_time) + + # for eid, attrs in inputs.items(): + + # for attr, vals in attrs.items(): + # self._cache[eid] = self.entities.demand(list(vals.values())[0]) + + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + + # self._cache = {} + # self._cache[eid] + results = self.demand(load=input_data['load']) + self._model.outputs['load_dem'] = results['load_dem'] + self._model.outputs['consumption'] = results['load_dem'] + + return time + self._model.time_step_size + + + def demand(self, load:float) -> dict: + """ + Performs calculations of load and returns the selected parameters + + ... + + Parameters + ---------- + load : float + Incoming load in kWh at every 15 min interval + + Returns + ------- + re_params : dict + Collection of parameters and their respective values + """ + # incoming load is in kWh at every 15 min interval + # incoming value of load is in kWh + houses = self._model.parameters.get('houses') + output_type = self._model.parameters.get('output_type') + deltaTime = self.time_resolution * self.time_step_size / 60 / 60 + + if output_type == 'energy': + self.consumption = (houses * load) # kW + elif output_type == 'power': + self.consumption = (houses * load) * deltaTime # kWh + + re_params = {'load_dem': self.consumption} + return re_params + +if __name__ == '__main__': + # Create a model by inheriting from ModelConstructor + # and implementing the step method + load_model = Load(load) \ No newline at end of file diff --git a/src/illuminator/models/PV/pv_model_v3.py b/src/illuminator/models/PV/pv_model_v3.py new file mode 100644 index 0000000..6fce4c5 --- /dev/null +++ b/src/illuminator/models/PV/pv_model_v3.py @@ -0,0 +1,307 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor +import numpy as np + +# Define the model parameters, inputs, outputs... +pv = IlluminatorModel( + parameters={ + "m_area": 0, # Module area of the PV panel in m². + "NOCT": 0, # Nominal Operating Cell Temperature of the PV panel in °C. + "m_efficiency_stc": 0, # Module efficiency under standard test conditions (STC). + "G_NOCT": 0, # Nominal Operating Cell Temperature of the PV panel in °C. + "P_STC": 0, # Power output of the module under STC (W). + "peak_power": 0, # Peak power output of the module (W). + "time_interval": 0 # Time interval for the simulation in hours, derived from the resolution parameter. + }, + inputs={ + "G_Gh": 0, # Global Horizontal Irradiance (GHI) in W/m², representing the total solar radiation received on a horizontal surface. + "G_Dh": 0, # Diffuse Horizontal Irradiance (DHI) in W/m², representing the solar radiation received from the sky, excluding the solar disk. + "G_Bn": 0, # Direct Normal Irradiance (DNI) in W/m², representing the solar radiation received directly from the sun on a surface perpendicular to the sun’s rays. + "Ta": 0, # Ambient temperature (°C) of the environment surrounding the PV panels. + "hs": 0, # Solar elevation angle (degrees), indicating the height of the sun in the sky. + "FF": 0, # Wind speed (m/s), which affects the temperature and performance of the PV panels. + "Az": 0 # Sun azimuth angle (degrees), indicating the sun's position in the horizontal plane. + }, + outputs={ + "pv_gen": 0, # Generated PV power output (kW) or energy (kWh) based on the chosen output type (power or energy). + "total_irr": 0, # Total irradiance (W/m²) received on the PV module, considering direct, diffuse, and reflected components. + "g_aoi": 0 # Total irradiance (W/m²) accounting for angle of incidence, diffuse, and reflected irradiance. + }, + states={ + "g_aoi": 0 # Total irradiance (W/m²) accounting for angle of incidence, diffuse, and reflected irradiance. + }, + time_step_size=1, + time=None + ) + +# construct the model +class PV(ModelConstructor): + parameters={ + "m_area": 0, # Module area of the PV panel in m². + "NOCT": 0, # Nominal Operating Cell Temperature of the PV panel in °C. + "m_efficiency_stc": 0, # Module efficiency under standard test conditions (STC). + "G_NOCT": 0, # Nominal Operating Cell Temperature of the PV panel in °C. + "P_STC": 0, # Power output of the module under STC (W). + "peak_power": 0, # Peak power output of the module (W). + "m_tilt": 0, + 'm_az': 0, + 'cap': 0, + 'output_type': 'power', + 'sim_start': 0 + } + inputs={ + "G_Gh": 0, # Global Horizontal Irradiance (GHI) in W/m², representing the total solar radiation received on a horizontal surface. + "G_Dh": 0, # Diffuse Horizontal Irradiance (DHI) in W/m², representing the solar radiation received from the sky, excluding the solar disk. + "G_Bn": 0, # Direct Normal Irradiance (DNI) in W/m², representing the solar radiation received directly from the sun on a surface perpendicular to the sun’s rays. + "Ta": 0, # Ambient temperature (°C) of the environment surrounding the PV panels. + "hs": 0, # Solar elevation angle (degrees), indicating the height of the sun in the sky. + "FF": 0, # Wind speed (m/s), which affects the temperature and performance of the PV panels. + "Az": 0 # Sun azimuth angle (degrees), indicating the sun's position in the horizontal plane. + } + outputs={ + "pv_gen": 0, # Generated PV power output (kW) or energy (kWh) based on the chosen output type (power or energy). + "total_irr": 0, # Total irradiance (W/m²) received on the PV module, considering direct, diffuse, and reflected components. + "g_aoi": 0 # Total irradiance (W/m²) accounting for angle of incidence, diffuse, and reflected irradiance. + } + states={'pv_gen': 0} + time_step_size=1 + time=None + + # def __init__(self, **kwargs) -> None: + # super().__init__(**kwargs) + # for key, value in self._model.parameters.items(): + # setattr(self, key, value) + + def step(self, time, inputs, max_advance=900) -> None: + input_data = self.unpack_inputs(inputs) + print("PV here") + print("inputs:", input_data) + + # for eid, attrs in inputs.items(): + + # v = [] # we create this empty list to hold all the input values we want to give since we have more than 2 + # for attr, vals in attrs.items(): + + # # inputs is a dictionary, which contains another dictionary. + # # value of U is a list. we need to combine all the values into a single list. But is we just simply + # # append them in v, we have a nested list, hence just 1 list. that creates a problem as it just + # # gives all 7 values to only sun_az in the python model and we get an error that other 6 values are missing. + # u = list(vals.values()) + # v.append(u) # we append every value of u to v from this command. + + # # the following code helps us to convert the nested list into a simple plain list and we can use that simply + # v_merged = list(itertools.chain(*v)) + + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + self._cache = {} + results = self.connect(input_data['G_Gh'], input_data['G_Dh'], input_data['G_Bn'], input_data['Ta'], input_data['hs'], input_data['FF'], input_data['Az']) + self._cache[eid] = results + for key, value in results.items(): + self._model.outputs[key] = value + return time + self._model.time_step_size + + + def sun_azimuth(self): # need to load sun_az + """ + Getter for the `self.sun_az` attribute + + ... + + Returns + ------- + sun_azimuth : ??? + ??? + """ + sun_azimuth = self.sun_az + return sun_azimuth + + def sun_elevation(self): + """ + Getter for the `self.sun_el` attribute + + ... + + Returns + ------- + sun_elevation : ??? + ??? + """ + sun_elevation = self.sun_el + return sun_elevation + + def aoi(self): + """ + Description + + ... + + Returns + ------- + cos_aoi : float + ??? + """ + cos_aoi = np.array(np.cos(np.radians(90 - self.m_tilt)) * np.cos(np.radians(self.sun_elevation())) * np.cos( + np.radians(self.m_az - self.sun_azimuth())) + np.sin(np.radians(90 - self.m_tilt)) * np.sin( + self.sun_elevation())) + if cos_aoi < 0: + cos_aoi = 0 + return cos_aoi + + def diffused_irr(self) -> float: + """ + Description + + ... + + Returns + ------- + g_diff : float + ??? + """ + self.svf = np.array((1 + np.cos(np.radians(self.m_tilt))) / 2) + g_diff = self.svf * self.dhi # global diffused irradiance #W/m2 + return g_diff + + def reflected_irr(self) -> float: + """ + Description + + ... + + Returns + ------- + g_ref : float + ??? + """ + albedo = 0.2 + g_ref = albedo * (1 - self.svf) * self.ghi + return g_ref + + def direct_irr(self) -> float: + """ + Description + + ... + + Returns + ------- + g_dir : float + ??? + """ + g_dir = self.dni * self.aoi() + return g_dir + + def total_irr(self) -> float: + """ + Description + + ... + + Returns + ------- + self.g_aoi : float + ??? + """ + self.g_aoi = self.diffused_irr() + self.reflected_irr() + self.direct_irr() + return self.g_aoi + + + # the effect of temperature and wind speed on the module efficiency. + def Temp_effect(self) -> float: + """ + Description + + ... + + Returns + ------- + efficiency : float + ??? + """ + m_temp = self.temp + (np.divide(self.total_irr(), self.G_NOCT)) * (self.NOCT - 20) * ( + np.divide(9.5, (5.7 + 3.8 * self.ws))) * (1 - (self.m_efficiency_stc / 0.90)) + + efficiency = self.m_efficiency_stc * (1 + (-0.0035 * (m_temp - 25))) + return efficiency + + def output(self) -> dict: + """ + Description + + ... + + Returns + ------- + dict + Collection of parameters and their respective values + """ + # constants + # inverter efficiency. We can use sandia model to actually find an inverter that suits our needs + inv_eff = 0.96 + mppt_eff = 0.99 # again, can calculate it accurately + losses = 0.97 # other losses + sf = 1.1 + + # generation calculation + num_of_modules = np.ceil(self.cap * sf / self.P_STC) + + + # [W] again we get this for every time step + # this is for the DC output from the number of panes we require (calculated above) at every hour + #p_dc = self.Temp_effect() * num_of_modules * self.m_area * self.total_irr() + total_m_area = num_of_modules * self.m_area + + # AC output at every hour from all the panels (a solar farm) + + if self.output_type == 'energy': + p_ac = (total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses)/4 # kWh + elif self.output_type == 'power': + p_ac = ((total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses) ) # kW + + return {'pv_gen': p_ac, 'total_irr': self.g_aoi} + + def connect(self, G_Gh, G_Dh, G_Bn, Ta, hs, FF, Az) -> dict: + """ + Sets class attributes and runs the `self.output()` function, returning its output. + + Paramter + -------- + G_Gh : ??? + ??? + G_Dh : ??? + ??? + G_Bn, : ??? + ??? + Ta : ??? + ??? + hs : ??? + ??? + FF : ??? + ??? + Az : ??? + ??? + + Returns + ------- + dict + Collection of parameters and their respective values + """ + self.ghi = G_Gh + self.dhi = G_Dh + self.dni = G_Bn + self.temp = Ta + self.sun_el = hs + self.ws = FF + self.sun_az = Az + # print( self.sun_az, self.ws, self.dni) + # print('1') + # print(sun_az, ws, dni, dhi, ghi, sun_el, ambient_temp) + return self.output() + +if __name__ == '__main__': + # Create a model by inheriting from ModelConstructor + # and implementing the step method + pv_model = PV(pv) + + print(pv_model.step(1)) \ No newline at end of file diff --git a/src/illuminator/models/Wind/wind_v3.py b/src/illuminator/models/Wind/wind_v3.py new file mode 100644 index 0000000..d327aed --- /dev/null +++ b/src/illuminator/models/Wind/wind_v3.py @@ -0,0 +1,119 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor +from numpy import log, pi + +# construct the model +class Wind(ModelConstructor): + + # Define the model parameters, inputs, outputs... + # all parameters will be directly available as attributes + parameters={'p_rated': 500, # Rated power output (kW) of the wind turbine at the rated wind speed and above. + 'u_rated': 100, # Rated wind speed (m/s) where the wind turbine reaches its maximum power output. + 'u_cutin': 1, # Cut-in wind speed (m/s) below which the wind turbine does not generate power. + 'u_cutout': 1000, # Cut-out wind speed (m/s) above which the wind turbine stops generating power to prevent damage. + 'cp': 0.40, # Coefficient of performance of the wind turbine, typically around 0.40 and never more than 0.59. + 'diameter': 30, # Diameter of the wind turbine rotor (m), used in calculating the swept area for wind power production. + 'output_type': 'power' # Output type of the wind generation, either 'power' (kW) or 'energy' (kWh). + } + inputs={'u': 0, # Wind speed (m/s) at a specific height used to calculate the wind power generation. + } + outputs={'wind_gen': 0, # Generated wind power output (kW) or energy (kWh) based on the chosen output type (power or energy). + 'u': 0 # Adjusted wind speed (m/s) at 25m height after converting from the original height (e.g., 100m or 60m). + } + states={} + + # define other attributes + time_step_size=1 + time=None + powerout = 0 # Output power of the wind turbine at a specific wind speed u. + u60 = 0 # Wind speeds adjusted for different heights (e.g., 60m and 25m) using logarithmic wind profile equations. + u25 = 0 # Wind speeds adjusted for different heights (e.g., 60m and 25m) using logarithmic wind profile equations. + + # define step function + def step(self, time, inputs, max_advance=1) -> None: # step function always needs arguments self, time, inputs and max_advance. Max_advance needs an initial value. + + + input_data = self.unpack_inputs(inputs) # make input data easily accessible + self.time = time + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + current_time = time * self.time_resolution + print('from wind %%%%%%%%%%%', current_time) + + self.resolution_h = self.time_resolution/60/60 # convert scenario resolution to hours + results = self.generation(u=input_data['u']) + self._model.outputs["wind_gen"] = results["wind_gen"] + self._model.outputs["u"] = results["u"] + print(f"u: {input_data['u']}, output: {results['wind_gen']}") + + + # return the time of the next step (time untill current information is valid) + return time + self._model.time_step_size + + + def production(self, u:float) -> dict: + """ + Calculates the production (?) + + ... + + Parameters + ---------- + u : float + ??? + + Returns + ------- + new_step : int + Return the new simulation time, i.e. the time at which ``step()`` should be called again. + """ + radius = self.diameter/2 + air_density = 1.225 + + u60 = u*((60/100)**0.14) + u25 = u60 * (log(20 / 0.2) / log(60 / 0.2)) + + if self.output_type == 'energy': + p = ((0.5 * (u25 ** 3) * (pi * (radius ** 2.0)) * air_density * self.cp)/1000) * self.resolution_h # kWh + elif self.output_type == 'power': + p = ((0.5 * (u25 ** 3) * (pi * (radius ** 2.0)) * air_density * self.cp) / 1000) # kW + re_params = {'wind_gen': p, 'u': u25} + return re_params + + def generation(self, u:float) -> dict: + """ + Calculates the generation (?) + + ... + + Parameters + ---------- + u : float + ??? + + Returns + ------- + new_step : int + Return the new simulation time, i.e. the time at which ``step()`` should be called again. + """ + u60 = u * ((60 / 100) ** 0.14) + u25 = u60 * (log(20 / 0.2) / log(60 / 0.2)) + + if u25 >= self.u_rated: + if u25 == self.u_rated: + if self.output_type == 'power': + re_params = {'wind_gen': (self.p_rated), 'u': u25} + elif self.output_type == 'energy': + re_params = {'wind_gen': (self.p_rated * self.resolution_h), 'u': u25} + elif u25 <= self.u_cutout: + if self.output_type == 'power': + re_params = {'wind_gen': (self.p_rated), 'u': u25} + elif self.output_type == 'energy': + re_params = {'wind_gen': (self.p_rated * self.resolution_h), 'u': u25} + else: + re_params = {'wind_gen': 0, 'u': u25} + # return re_params + elif u25 < self.u_cutin: + re_params = {'wind_gen': 0, 'u': u25} + else: + re_params = self.production(u) + return re_params + diff --git a/src/illuminator/models/__init__.py b/src/illuminator/models/__init__.py index 2ffa297..7dad3d9 100644 --- a/src/illuminator/models/__init__.py +++ b/src/illuminator/models/__init__.py @@ -1,14 +1,24 @@ # This is a temporary fix to make models more accessible # In the future, a model will be contained in a single file, where the # name of the file matches the name of the model -from .Battery.battery_model import BatteryModel +#from .Battery.battery_model import BatteryModel +from .Battery.battery_v3 import Battery from .collector import Collector -from .mosaik_csv import CSV -from .PV.pv_mosaik import PvAdapter +# from .mosaik_csv import CSV +from .CSV_reader_v3 import CSV +# from .PV.pv_mosaik import PvAdapter +from .PV.pv_model_v3 import PV from .adder import Adder +from .Load.load_v3 import Load +from .Controller.controller_v3 import Controller +from .Wind.wind_v3 import Wind -__all__ = ['BatteryModel', +__all__ = ['Battery', 'Collector', 'Adder', 'CSV', - 'PvAdapter'] + 'PvAdapter', + 'Load', + 'PV', + 'Controller', + 'Wind'] diff --git a/src/illuminator/models/adder.py b/src/illuminator/models/adder.py index 2a3e43b..262e3ab 100644 --- a/src/illuminator/models/adder.py +++ b/src/illuminator/models/adder.py @@ -3,8 +3,9 @@ The model is a simple adder that adds two inputs and stores the result in an output. """ -from illuminator.builder import IlluminatorModel, ModelConstructor +from typing import List +from illuminator.builder import IlluminatorModel, ModelConstructor # Define the model parameters, inputs, outputs... adder = IlluminatorModel( @@ -12,20 +13,54 @@ inputs={"in1": 10, "in2": 20}, outputs={"out1": 0}, states={"out1": 0}, - time_step_size=1, + time_step_size=900, time=None ) # construct the model class Adder(ModelConstructor): + + # Default Values are used if the yaml ones aren't defined (currently checks per category) + parameters={"param1": "addition", "testParam": "testJort"} + inputs={"in1": 10, "in2": 20} + outputs={"out1": 0} + states={"out1": 0} + time_step_size=900 + time=None - def step(self, time) -> None: - self._model.outputs["out1"] = self._model.inputs["in1"] + self._model.inputs["in2"] + # Any other value defined not in model.py can be used internally in the Custom Model class + + def step(self, time, inputs, max_advance=900) -> None: + #eid = [eid for eid, _ in self.model_entities.items][0] + print("\n adder: ") #, eid) + # print(f"inputs: {inputs}") + # print(f'internal inputs: {self._model.inputs}') + for eid, attrs in inputs.items(): + # print(f"eid: {eid}, attrs:{attrs}") + # print(f"self.model_entities: {self.model_entities}") + model_instance = self.model_entities[eid] + for inputname, value in inputs[eid].items(): + # print(f"inputname: {inputname}, value:{value}") + # print(f"model_instance.inputs[inputname]: {model_instance.inputs[inputname]}") + if len(value) > 1: + raise RuntimeError(f"Why are you passing multiple values {value}to a single input? ") + else: + first_key = next(iter(value)) + model_instance.inputs[inputname] = value[first_key] + # print(f"The dictionary value: {value[first_key]}") + + self._model.outputs["out1"] = self._model.inputs["in1"] + self._model.inputs["in2"] # TODO do we add values internally or based on the current inputs print("result:", self._model.outputs["out1"]) + print("time_step", self._model.time_step_size) return time + self._model.time_step_size - # todo: adopt get_data() as defined by Mosaik + def step_Manuel(self, time, inputs) -> None: + self._model.outputs["out1"] = self._model.inputs["in1"] + self._model.inputs["in2"] + print("result", self._model.outputs["out1"]) + + return time + self._model.time_step_size + if __name__ == '__main__': # Create a model by inheriting from ModelConstructor diff --git a/src/illuminator/models/collector.py b/src/illuminator/models/collector.py index 14e9ff5..dfd45a5 100644 --- a/src/illuminator/models/collector.py +++ b/src/illuminator/models/collector.py @@ -230,7 +230,7 @@ def step(self, time:int, inputs:dict, max_advance:int) -> int: # TODO: raise warning, not implemented for key, value in df.items(): wandb.log({key: value[0], - "custom_step":time/900}) + "custom_step":time/900}) # TODO replace 900 by something better if self.results_show['write2csv'] == True: if time == 0: @@ -265,7 +265,7 @@ def step(self, time:int, inputs:dict, max_advance:int) -> int: msg = df.to_json() self.mqtt_client.publish(self.mqtt_topic, msg) - return time + 900 + return time + 1 # TODO change +1 to +self.time_resolution do it's not hard coded def finalize(self) -> None: """ diff --git a/src/illuminator/models/model_template.py b/src/illuminator/models/model_template.py new file mode 100644 index 0000000..8ccf491 --- /dev/null +++ b/src/illuminator/models/model_template.py @@ -0,0 +1,38 @@ +from illuminator.builder import IlluminatorModel, ModelConstructor + +# construct the model +class Modelname(ModelConstructor): + + # Define the model parameters, inputs, outputs... + # all parameters will be directly available as attributes + parameters={'param1': 1, + 'param2': 'value2' + } + inputs={'in1': 0 + } + outputs={'out1': 0 + } + states={'out1': 0 + } + + # define other attributes + time_step_size=1 + time=None + + # define step function + def step(self, time, inputs, max_advance=1) -> None: # step function always needs arguments self, time, inputs and max_advance. Max_advance needs an initial value. + + + input_data = self.unpack_inputs(inputs) # make input data easily accessible + self.time = time + eid = list(self.model_entities)[0] # there is only one entity per simulator, so get the first entity + + + # example logic, sets "out1" to be the result of adding input "in1" and parameter "param1" + self._model.outputs["out1"] = input_data['in1'] + self.param1 + + + # return the time of the next step (time untill current information is valid) + return time + self._model.time_step_size + + diff --git a/src/illuminator/schema/simulation.py b/src/illuminator/schema/simulation.py index 210c29b..0d99a29 100644 --- a/src/illuminator/schema/simulation.py +++ b/src/illuminator/schema/simulation.py @@ -150,14 +150,16 @@ def validate(self, data, _is_scenario_schema=True): # _is_scenario_schema { "ip": Regex(ipv4_pattern, error="you must provide an IP address that matches versions IPv4 or IPv6"), Optional("port"): And(int), - } - ), + } + ), + Optional("time_step_size"): int, } ] ), "connections": Schema( # a sequence of mappings [{ "from": Regex(valid_model_item_format, error="Invalid format for 'from'. Must be in the format: ."), "to": Regex(valid_model_item_format, error="Invalid format for 'to'. Must be in the format: ."), + Optional("time_shifted", default=False): bool }] ), "monitor": Schema(