基于光储充电站的电动汽车分层优化调度  

Hierarchical optimization scheduling for electric vehicles with PV-power storage charging stations

作　　者：胡超 彭文河 方支剑 HU Chao;PENG Wenhe;FANG Zhijian(Huadian Hubei Power Generation Company Limited,Wuhan 430063,China;School of Automation,China University of Geosciences(Wuhan),Wuhan 430074,China)

机构地区：[1]华电湖北发电有限公司,武汉430063 [2]中国地质大学(武汉)自动化学院,武汉430074

出　　处：《综合智慧能源》2023年第9期11-17,共7页Integrated Intelligent Energy

基　　金：中国华电集团科技项目(CHDKJ22-01-31)。

摘　　要：电动汽车(EV)具有环保、可充放电等特点,在一定条件下可视为储能电池参与微网的电力运行,因此基于光储充一体化的EV充电站成为应对能源互联网的重要举措,但EV充电负荷具有很强的随机性,变化的EV负荷会改变一定时期内的负荷特性,给微网的稳定运行带来一定困难。为解决大量EV接入时可能出现的维数灾难、求解慢等问题,提出了一种分层的EV优化调度策略。首先,建立微网内部组成单元模型及约束条件;其次,建立EV的动态电价模型;然后,以微网运行成本、EV充放电收益和配网网损为优化对象,建立光储充电站EV优化调度策略及各层目标函数并采用自适应粒子群算法进行优化。仿真结果表明,EV的接入起到了“削峰填谷”的作用,极大减少了EV充电成本和微网优化成本并可以满足车主的出行需求。Since electric vehicles are environmentally friendly and rechargeable,they can be taken as batteries under certain circumstances and participate in the operation of microgrids.As a result,PV-power storage integrated systems are important for the development of Energy Internet.But EV loads are highly volatile.The random EV loads with the attributes varying with time will impact the stable operation of microgrids.To address the dimension disaster and low effectiveness of the problem solving that accrues when large-scale EVs are connected to the power grid,a hierarchical optimization scheduling strategy is proposed.Based on the models for different units in the microgrid and different constraints,the dynamic electricity price model for EVs is established.To achieve the lowest operation cost of the microgrid,the highest profit from discharging and charging EVs and the minimal network loss,the optimization scheduling strategy for electric vehicles with PV-power storage charging stations is put forward,and the optimization objects on different layers are solved by adaptive particle swarm optimization.Finally,the simulation results show that the availability of electric vehicles contributes to peak load regulation,and the strategy can accommodate vehicle owners'needs while significantly lowering the operation cost of microgrid and charging cost of EVs.

关 键 词：电动汽车 储能 微网 动态电价模型 光储充电站 优化调度 削峰填谷 能源互联网 

分 类 号：TK019[动力工程及工程热物理] TM72[电气工程—电力系统及自动化]