🎯 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!