本文以风电预测为基础,提出了风蓄联合运行系统调度模型,并考虑负荷和风电预测误差的旋转备用等相关约束,使模型拟合度增大,接着采用混合多智能体遗传算法进行优化,得到联合系统的日前出力计划。最后,通过算例验证所提策略具有可行性。 In this paper, based on the wind power forecast, a scheduling model of wind storage joint operation system is proposed, and the related constraints such as rotation reserve of load and wind power prediction error are taken into consideration to increase the model fitting degree, and then the hybrid multi-agent genetic algorithm is used to optimize the model. Got the combined system’s recent plans to contribute. Finally, an example is given to verify the feasibility of the proposed strategy.