Grid2op/grid2op
Grid2Op is a Python-based testbed environment for training and evaluating reinforcement learning agents on power grid operations.
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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.
Frequently asked
- What is Grid2op/grid2op?
- Grid2Op is a Python-based testbed environment for training and evaluating reinforcement learning agents on power grid operations.
- Is grid2op open source?
- Yes — Grid2op/grid2op is open source, released under the MPL-2.0 license.
- What language is grid2op written in?
- Grid2op/grid2op is primarily written in Python.
- How popular is grid2op?
- Grid2op/grid2op has 446 stars on GitHub.
- Where can I find grid2op?
- Grid2op/grid2op is on GitHub at https://github.com/Grid2op/grid2op.