Optimal control in microgrid using multi-agent reinforcement learning

► We develop a multi agent system for the microgrid which demands less data manipulation and exchange. ► We develop an effective method of policy exploration for every agent to relieve the problem of 'curse of dimensionality'. ► Method achieves optimal control of microgrid with good efficiency.