Introduction

Grid2Op is a tool that allows to perform Reinforcement Learning (abbreviated RL) or any other time dependant simulation of steady state powerflow.

The simulator is able to emulate a power grid (of any size or characteristics) subject to a set of temporal injections (productions and consumptions) or maintenance / hazards for discretized timesteps.

Loadflow computation are carried out using any Backend you wish. A default backend, relying on the open source pandapower library is available as an example.

Any other tools that is able to perform power flow computation can be used as a “backend” to play the game or to accelerate the training. Instructions and method to implement a new backend are available in the Grid2Op.Backend.Backend documentation.

TO be continued (package still under development)