Mohammadreza Mohammadiya Asiabar - Master's degree, Islamic Azad University, Karaj branch

This paper proposes a multi-agent deep reinforcement learning based approach for distributionsystem voltage regulation with high penetration of photovoltaics (PVs). The designed agentscan learn the coordinated control strategies from historical data through the counter-training oflocal policy networks and centric critical networks. The learned strategies allow us to performonline coordinated control. Comparative results with other methods show the enhanced controlcapability of the proposed method under various conditions

Voltage regulation, multiagent deep reinforcement learning, coordinated control, distribution system