Abstract：Microgrid is an effective method to integrate a large number of distributed generators into the power

grid. Aiming at the optimal dispatch problem of microgrid，an optimal dispatch method based on proximal policy

optimization algorithm was proposed. Firstly，the optimal diapatch model of microgrid was constructed by

considering the operation cost of microgrid and operation constraints of various equipment. Secondly，the problem

was formulated as a reinforcement learning framework，and the elements of reinforcement learning such as state，

action and reward function were designed. Finally，the solution flow based on the proximal policy optimization

algorithm was designed，and the effectiveness of the proposed method was verified by simulation.

      Key words：microgrid；optimal dispatch；artificial intelligence；reinforcement learning