基于模糊隶属度的充电站多目标优化调度

Multi-Objective Optimal Scheduling Based on Fuzzy Membership for Electric Bus Charging Station

为兼顾充电站运营商的经济效益与配电网的安全性,建立充电站内电动公交车参与车联网(vehicle to grid,V2G)的多目标优化调度模型。所建模型不仅考虑了电动公交车的出行需求,还考虑了充电站内车-桩的连接状态。由于模型的优化目标间相关性小,故采用模糊隶属度函数对其进行模糊化处理,并基于最大最小理论将多目标优化问题转化为以最大化满意度为目标的单目标优化问题进行求解。仿真结果在无序充电和参与V2G两种模式下对单目标策略和多目标策略进行比较分析,验证了文章所述电动公交车参与V2G的多目标优化调度模型的经济性和有效性。

In order to consider both economic benefits of the charging station and the safety of the distribution network,a multi-objective optimized scheduling model for electric buses participating in vehicle to grid(V2G)is established.This model takes into account not only the travelling need of electric buses,but also the bus-pile connection status in the charging station.Due to the low correlation among objectives,the fuzzy membership function is used to fuzzy up objectives.Then the multi-objective optimization problem is transformed into single-objective problem to maximize satisfaction on the basis of the maximum and minimum theory.Finally,single-objective strategy and the multi-objective strategy are compared under disordered charging mode and V2G charging mode,w hich verifies the economy and effectiveness of the multi-objective model of charging station participating in V2G.