Abstract: Considering the existing tariff mechanisms of different types of power sources and their peaking characteristics,in this paper we propose an optimized dispatching strategy for the multiple complementary sources of wind,water,and thermal energy storage based on an improved immune ant colony algorithm to improve the system economy. Firstly,an optimized dispatching model for the multiple complementary sources is constructed with the objectives of minimizing the coal consumption cost and start-up cost of thermal power units,the generation cost of hydro power units,the peaking cost of pumped hydro storage,and the penalty cost of wind and light abandonment. Secondly,the improved immune ant colony algorithm is used to solve the scheduling model,preventing the defect that the artificial ant colony algorithm is prone to falling into local optima. Finally,through the simulation of pumped storage units with different installed capacities on typical summer and winter days,it is shown that the proposed model can make full use of the "peak-shaving and valley-filling" of pumped storage units and the complementarity between energy sources to improve the operational efficiency of each power source,and achieve the objectives of reducing the fuel cost of thermal power,full consumption of new energy sources,and regulation with flexible power sources.