Abstract: Compared with the intelligent optimization algorithm,the traditional optimization algorithm is more difficult to find a feasible or optimal solution in solving the optimal dispatch problem of microgrid clusters. This paper presents an improved bald eagle search algorithm（IBES）based on fusion reverse learning and Cauchy mutation,which uses the fusion reverse learning and Cauchy mutation strategy in the bald eagle search space prey stage to make BES jump out of local optimization effectively and solve the problem of low accuracy in solving the algorithm. By comparing with particle swarm optimization（PSO）,sparrow search algorithm（SSA）,and whale optimization algorithm（WOA）,the simulation results show that IBES is more accurate and can effectively reduce the economic cost of microgrid cluster system.