考虑电动汽车的联合电力系统多目标调度

Multi Objective Scheduling of Power System Considering the Electric Vehicle

为了消除电动汽车的无序充电和风力发电的随机性对电力系统带来的负面影响,利用相关数据得到了电动汽车充电概率,将风电的不确定性表示为一个具有零均值、呈正态分布的预测误差,由此建立了考虑电动汽车无序充电的风-水-火联合的多目标调度模型。采用多目标布谷鸟搜索算法对该联合电力系统调度模型进行求解,并用算例分析了三种情形下水电站的调峰能力。分析结果表明,风-水-火联合调度模型和调度策略能够提高系统接纳风电能力,满足电动汽车无序充电,降低火电机组出力的峰谷差,为解决大规模风电入网和大量电动汽车充电提供可借鉴的策略。

In order to eliminate the negative impact of the disorderly charging and randomness of wind power generation on electric power system,the charging probability of electric vehicles is obtained by using the relevant data,and the uncertainty of wind power is expressed as a prediction error with zero mean and normal distribution.A multi-objective scheduling model of wind-water-fire combination considering the disorderly charging of electric vehicles is established.The multi-objective cuckoo search algorithm is adopted to solve the dispatching model of the combined power system,and the peak-shaving capacity of hydropower station in three situations is analyzed by an example.The analysis results show that the proposed wind-water-fire joint dispatching model and dispatching strategy can improve the system’s wind power capacity,meet the disorderly charging of electric vehicles,reduce the peak-valley difference of thermal power unit output,and provide a reference strategy for solving large-scale wind power grid entry and large-scale charging of electric vehicles.