Developed by Maya Mutic, Princeton Andlinger Center for Energy and the Environment
Welcome to the GenX Tutorials! In this series, we go over several aspects of GenX and how to use them.
These Tutorials are set to run on GenX version 0.4.0. To run on version 0.3.6, go to the branch v0.3.6 on this repository.
To run these tutorials, make sure to have Jupyter notebook installed. From there, Tutorial 0 goes over how to install IJulia and GenX.
Tutorial 0 goes over installing IJulia and GenX, and how to run the Tutorials from your computer. No packages are needed to run Tutorial 0.
Tutorial 1 shows GenX's default settings, and how to run an instance of GenX. Packages needed are:
- YAML
- CSV
- DataFrames
Tutorial 2 shows how the example grid in example_systems/1_three_zones looks on a map of New England.
Packages needed are:
- CSV
- DataFrames
Tutorial 3 goes over the Time Domain Reduction (TDR) feature, how it is configured, and how it uses k-means to work. Packages needed are:
- YAML
- CSV
- DataFrames
- VegaLite
- PlotlyJS
- Plots
- Clustering
- ScikitLearn
Tutorial 4 explains the optimization package JuMP, and how GenX generates the model before solving it. Packages needed are:
- JuMP
- HiGHS
Tutorial 5 explains how GenX uses JuMP to solve the model, and how infeasibilities work. Packages needed are:
- JuMP
- HiGHS
Tutorial 6 goes over the different settings one can specify before solving GenX, and shows example runs of PreSolve, Crossover, and Feasibility Tolerance. Packages needed are:
- JuMP
- HiGHS
- YAML
- DataFrames
- Plots
- Plotly
Tutorial 7 goes over policy constraints CO2 Cap, Minimum Capacity, Energy Share Requirement, and Capacity Reserve Margin, shows how to turn them on in GenX, and how they decrease total emissions. Packages needed are:
- JuMP
- HiGHS
- CSV
- DataFrames
- Plots
- StatsPlots
For issues with these tutorials, contact Maya Mutic at [email protected].