Flexible Load Analysis

Flexible Load Analysis is a code platform implemented in Python. It performs loading, parsing, managing, anonymization, preprocessing, modification and analysis of mass load and grid data. Load analysis functionalities currently implemented include

• a stochastic load model (based on http://hdl.handle.net/11250/2476389),
• time series analysis to characterize the need for flexibility in the grid area, and
• "what-if" (or scenario) analyses to study the effects of grid connection of potential new loads with a certain load behaviour

The application of the code platform for characterizing the need for flexibility in an industrial distribution grid is demonstrated in a paper published here: http://doi.org/10.1109/SEST53650.2022.9898467 Erratum: The aggregated load reported in the publication was found to be erroneous. We are currently working on a fix on the load aggregation function in the code.

The code is developed by SINTEF Energi AS in conjunction with CINELDI WP1.

Installation

The script is installed by cloning this repository to your own local machine. Running the script requires the following dependencies:

Dependencies

• Python 3
• numpy
• pandas
• openpyxl
• toml
• networkx
• pandapower

Install all dependencies by running

python3 -m pip install -r requirements.txt

Usage

To use this script, change config.toml to reflect placement and structure of your load time series dataset, as well as changing any other relevant fields. Remember to update the path of the config in main.py as well.

Required data-files and supported formats is described in example_data\TUTORIAL.md

After this, the program may be run by running

python src/main.py

See the source code for how to implement custom preprocessing steps as well as other models.

Development

The project follows PEP8-styling and the numpydoc-standard docstring-styling.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Authors

Contributors: Daniel Bjerkehagen, Susanne Sandell, Eirik Haugen, Iver Bakken Sperstad

Funding

This work has been funded by CINELDI – Centre for intelligent electricity distribution, an 8-year Research Centre under the FME scheme (Centre for Environment-friendly Energy Research, 257626/E20) of the Norwegian Research Council.

Copyright © 2022 SINTEF Energi AS