Pandapower conversions

[nitbharambe]

The central task is to power-grid-model or pgm to pandapower or pp so it can be used as a simple argument in pp.runpp to run powerflow calculation on pandapower net data using power-grid-model.

On pandapower side, this would be accomplished by pandapower importing power-grid-model-io and power-grid-model.

• First convert from pp net to pgm numpy structured array input data
• Running calculations: calculate_power_flow or calculate_state_estimation
• Convert numpy structured array results to pp net dataframes

Roadmap for creating conversions

Conversion is to be implemented in this repository. Following steps to be followed

• Basic conversions
  • Simple mapping elements in yaml config: Node, line, sym/asym loads/gen, shunt
  • Conversion rules or filters (unit changing, str to other str or enum, etc)
  • Node/bus id bookkeeping required.
• read_pp_net function and maybe pp_converter.py, discuss later.
• Grid attributes conversion: freq, calculation method, iterations, initialization etc
• Switches and bookkeeping of switches
• Complex component mapping: source, trafo, 3wdg trafo, vtg and power sensors.

Unit tests and example:

• Any tests related to the code (bookkeeping, filters etc)
• Sample grid

Input Data validation

• All unsupported work

Not planned yet

Complex or unimplemented features not planned yet

• Input Validation: pp or pgm?
• Batch calculation
• Result conversion
• pp side of code (Discuss with pp people, maybe conversion will have pp net as input and res_* dataframes as output.)

Task on pandapower repository

After the conversion is done. The pandapower repository can be modified with additional core from power grid model. https://github.com/e2nIEE/pandapower/issues/1591

[TonyXiang8787]

We are not going to implement batch conversions in short term.