Abstract: The combination of wind and solar power can reduce the abandonment of wind and solar power and improve the utilization ratio of energy. According to the time shift of photothermal power generation,the maximum consumption,the minimum load peak valley difference and the maximization of grid-connection benefits, this paper constructs a multiobjective optimization mathematical model of photothermal and wind power joint scheduling,and uses chaotic genetic algorithm to solve the whole optimization process to obtain the optimal solution of photothermal power generation. The research results show that the proposed method increases the benefit by 488200Yuan,reduces the peak valley difference by 10.1%,and increases the consumption by 22.42%, which provides a reference basis for photothermal power generators to formulate the power grid dispatching plan.