Abstract: In order to cope with the uncertainty of wind power output and improve the operating efficiency of microgrids, this paper proposes a dynamic optimal scheduling strategy for wind-solar complementary microgrids with a new composite energy storage system. With the objectives of minimizing operation cost and maximizing new energy consumption, the strategy constructs a multi-objective model that takes into account the lifetime loss of energy storage, and solves the problem using an improved particle swarm algorithm. The simulation results show that the strategy can effectively reduce the system operating cost and the amount of discarded energy through the refined power allocation of energy storage, and effectively improve the economy and operational stability of the microgrid.