Power System Optimization

This section contains examples of network optimization with PyPSA. PyPSA allows you to optimize networks in three ways: with Linopy, with Pyomo, and based on custom code. The new default optimization framework is based on Linopy. In earlier versions, PyPSA used the pyomo interface and an in-house implementation, both available through the n.lopf() function. The previous options are still available but will be deprecated in the future. The following examples all use the Linopy-based implementation.

• Optimization with Linopy
• Constraining the total capacity per bus and carrier
• Multi Investment Optimization
• Two chained reservoirs
• Screening curve analysis
• Non-linear power flow after LOPF
• Redispatch Example with SciGRID network
• Security-Constrained Optimisation
• Simple electricity market examples
• Transformer with non-trivial phase shift and tap ratio
• Unit commitment
• Optimization with Linopy - Migrate Extra Functionalities