Cooperative reinforcement learning algorithm to distributed power system based on Multi-Agent

With the development of renewable energy technology, the distributed wind-PV power system has a wider application. This paper proposes a distributed wind- PV power system based on Multi-Agent, whose main character is energy management, and describes the multi-agent cooperative reinforcement learning process using the joint action learning pattern as the cooperative strategy. The experiment of a distributed wind-PV power system shows the efficiency.