Grid2op/grid2op
Grid2Op is a Python-based testbed environment for training and evaluating reinforcement learning agents on power grid operations.

Grid2Op provides a gym-compatible simulation environment for modeling sequential decision making in electrical power systems. It allows researchers to train RL agents to perform power grid operations including topology modification, load shedding, generator setpoint control, and maintenance scheduling. The platform is designed for both the L2RPN competition and broader power systems research, with modular architecture supporting various grid scenarios and agent implementations.