Optimization

Bi-Level Off-policy Reinforcement Learning for Two-Timescale Volt/VAR Control in Active Distribution Networks

In Volt/Var control (VVC) of active distribution networks (ADNs), both slow timescale discrete devices (STDDs, e.g. on-load tap changers) and fast timescale continuous devices (FTCDs, e.g. distributed generators) are involved and should be …

Federated Reinforcement Learning for Decentralized Voltage Control in Distribution Networks

Multi-agent reinforcement learning (MARL) with ``centralized training & decentralized execution'' framework has been widely investigated to implement decentralized voltage control for distribution networks (DNs). However, a centralized training …