A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep reinforcement learning
Lei Dong, Hao Lin, Qiao Ji, Tao Zhang, Shiming Zhang, Tianjiao Pu
Topics & Concepts
Reinforcement learningAC powerComputer scienceReinforcementPower (physics)Artificial intelligenceDistribution (mathematics)EngineeringMathematicsStructural engineeringPhysicsQuantum mechanicsMathematical analysisMicrogrid Control and OptimizationSmart Grid Energy ManagementOptimal Power Flow Distribution