通过建立非线性约束优化模型来寻求间歇性分布式电源并网的分布式储能系统的最优控制策略,使智能电网能尽量减少内部损耗,并在高功率的价格周期内能出售能源及配套服务。将控制策略分为充电和放电两个周期分别建立目标函数和施加约束条件,运用模拟退火优化算法求解。介绍了在30母线测试系统的低电压智能电网上的应用结果。 By establishing a nonlinear constrained optimization model to find the optimal control strategy of distributed energy storage system with intermittent distributed power grid connection, the smart grid can minimize the internal loss and can sell energy and accessories in high power price cycle service. The control strategy is divided into two periods of charge and discharge respectively to set up the objective function and impose constraints, and the simulated annealing optimization algorithm is used to solve the problem. The application results of the low-voltage smart grid in the 30-bus test system are introduced.