Abstract:In order to maximize the use of wind energy and solar energy to suppress the random variability of wind power and make it tend to a stable situation, and to control waste wind power to a minimum, based on the composite power generation system, the optimal scheduling model of wind-photothermal-hydropower generation system is established, and the parameters of the scheduling model are optimized by using the particle swarm algorithm rich in resident particles to achieve the best economic efficiency scheduling method. The research results show that the proposed wind-photothermal-hydropower generation system can effectively stabilize the peak to valley difference of wind power, on the basis of ensuring that the power system is in a good stable operation state of maintenance and stability, it can maximize the capacity of the wind power generation system, reduce the fluctuation of the output of hydropower station, and effectively improve the economic benefits of the entire power system