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RL2Grid: B...
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RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

  • Reinforcement learning (RL) can transform power grid operations by providing adaptive and scalable controllers essential for grid decarbonization.
  • RL2Grid is a benchmark designed in collaboration with power system operators to accelerate progress in grid control and foster RL maturity.
  • RL2Grid standardizes tasks, state and action spaces, and reward structures within a unified interface for systematic evaluation and comparison of RL approaches.
  • The benchmark results highlight the challenges power grids pose for RL methods, emphasizing the need for novel algorithms capable of handling real-world physical systems.

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