Abstract: With the vigorous development and application of distributed energy, the planning and operation of traditional power grids are facing more and more challenges. The intermittent influence of distributed energy needs to be solved urgently, e.g., the wind power and photovoltaic power generation on energy dispatch and the impact of uncertainty on the power grid. In view of the intermittency and uncertainty of distributed power generation, this paper established the wind-solar energy-storage joint optimization model to achieve the minimization of wind-solar forecast power generation error and energy storage output. Besides, this paper proposes a real-time online optimization method of wind-solar complementary power generation and energy storage. The improved PSO (particle swarm optimization) algorithm is used to optimize the model in real time. Based on the established wind-solar-storage complementary model, the co-generation of wind-solar storage is regarded as an equivalent node to construct an optimal power flow model with the objective of optimizing the diesel generators outputs. Moreover, GA (genetic algorithm) is used to solve the optimal power flow model. Finally, the experiments via IEEE30-node system are made to verify the effectiveness of the proposed joint optimization strategy.