Optimization Model

Implement New optimization Model

To implement a new optimization model, at first, you need to introduce it in a new script in src/models directory as <your_model>.jl, for example, the optimization model for minimizing the voltage deviation is implemented in the vd.jl script.

Please note that, every new model needs at least two functions: 1. The _run_<your_model> function which implicitly defines your model as an extension model in the PowerModels environment. This function must be exported by adding export _run_<your_model> at the beginning of <your_model>.jl script. 1. The _bulid_<your_model> function which defines your optimization model, in this function, you can directly use the pre-defined variable, constraint, and objective from PowerModels or customize them. For example, in the vd model, the variable and constraints are from PowerModels and the objective function is customized.

After defining the optimization model, you need to call your model by adding a new function run_pandamodels_<your_model> in src/call_pandamodels.jl. this function parses the JSON file of the pandapower net and based on the JSON file set the model and solver, then get the result by running your _run_<your_model> function.

Finally, you need to add run_pandamodels_<your_model> function into export list and call the model by adding include("models/<your_model>.jl") in before include("models/call_pandamodels.jl") in PandaModels module in src/PandaModels.jl.

Application of New optimization Model in pandapower

Please check here to find out how call the new model in pandapower.