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为实现电力系统与电动汽车换电站运营系统的有机融合,在进行电网调度最优化的同时兼顾保障换电站运营,提出了将电动汽车换电站运营参数构建惩罚函数加入调度目标函数的模型。该模型采用双层时空解耦结构,上层模型以整体代理的方式实现换电站在时间尺度的多目标优化调度(包括负荷波动、峰谷差最小),下层模型在空间尺度上合理分配各换电站充电计划来调节包含间歇性分布式电源的电网潮流分布,实现网损最小化,同时引入运营惩罚函数实现换电站运营状况对电网的反馈。之后,采用自适应变异粒子群算法对提出的双层系统进行迭代求解。最后在修改的IEEE 30节点算例中说明该调度模型的作用。
In order to realize the organic integration of the operation system of power system and EV substation, a model was proposed to incorporate the penalty function of operation parameters of EV substation into the dispatch objective function while optimizing the power dispatch and taking into account the protection of substation operation. The model uses a two-layer space-time decoupling structure. The upper model achieves multi-objective optimal scheduling (including load fluctuation and peak-valley difference) on the time scale of the substation by means of the overall agent. The lower model reasonably allocates each substation on a spatial scale Charging plan to regulate the power flow distribution including intermittent distributed power supply and minimize the network loss. At the same time, the operating penalty function is introduced to realize the feedback of power station operation status to the power grid. Afterwards, the adaptive two-layer system is solved iteratively by using adaptive mutation particle swarm optimization algorithm. Finally, the role of this scheduling model is illustrated in the modified IEEE 30-node example.