<p>The spatio-temporal coupling effect between the randomness of wind-solar output and the hysteresis of the energy storage system makes the short-term fluctuation of wind-solar output not match the response load demand of the energy storage system. It is difficult to dynamically adjust the power distribution parameters of wind-solar energy storage system with fixed filter, resulting in power imbalance. Therefore, a multi-node distributed power fuzzy control algorithm for wind-solar complementary microgrid is proposed. The fuzzy control structure of wind-scenery complementary microgrid is established by combining the weighted sliding filter and fuzzy control theory with the wind-scenery complementary microgrid mathematical models of wind power generation, photovoltaic power generation as well as storage batteries and supercapacitors, taking the power difference and the rate of change of power and the state of charge of storage system as the fuzzy control inputs, and the sliding filter constants as the outputs, and then utilizing the sliding filters to distribute the power of supercapacitor and battery in the hybrid energy storage. The sliding filter is used to distribute the power of supercapacitor and battery in the hybrid energy storage system to realize the multi-node distributed power control of wind-scenery complementary microgrid. The experimental validation results show that the algorithm can improve the stability and efficiency of the wind-solar complementary microgrid, and can effectively realize the distributed power allocation and control in the microgrid.</p>