🎯 39+ environments over 7 base grids, including:
🔹 Topology optimization actions
🔹 Redispatch & curtailment operations
🔹 Idle & recovery heuristics
🔹 CMDP-based constraints (overload, islanding, load shedding)
📦 RL2Grid is a benchmark for training & evaluating RL agents on a multitude of realistic grid control tasks, modeling:
✅ AC power flow
✅ Multi-step physics simulation
✅ Operator heuristics
✅ Real-time contingencies
✅ Safety constraints
Why power grids?
📊 Complex, dynamic, hierarchical systems
📉 Traditional solvers hit scalability walls
🌪️ Control challenges driven by VRE, demand-side volatility
RL is promising for grid control, but it must be grounded and advanced realistic benchmarks!
🚨 Excited to share RL2Grid! A standardized suite of RL tasks for realistic power grid operations ⚡ Built with TSOs, RL2Grid aims to bring RL closer to real-world critical infrastructure.
📄 Preprint: arxiv.org/abs/2503.23101
💻 Code: github.com/emarche/RL2G...
Details below 👇
