引用本文:姚友素,马建伟,戚佳金,张 树,张 芮,刘晓胜.集中充电站参与配电网峰谷调控策略[J].电力自动化设备,2016,36(6):
YAO Yousu,MA Jianwei,QI Jiajin,ZHANG Shu,ZHANG Rui,LIU Xiaosheng.Strategy for central charging station participating in peak-valley regulation of distribution network[J].Electric Power Automation Equipment,2016,36(6):
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集中充电站参与配电网峰谷调控策略
姚友素1, 马建伟2, 戚佳金3, 张 树1, 张 芮1, 刘晓胜1
1.哈尔滨工业大学 电气工程及自动化学院,黑龙江 哈尔滨 150001;2.国家电网公司,北京 100031;3.国网杭州供电公司,浙江 杭州 310009
摘要:
以杭州市电动汽车充换电服务网络为背景,阐述了集中充电站参与配电网峰谷调控的意义。以负荷波动最小为优化目标,建立了包含动力电池充放电方向约束、充放电功率约束和荷电状态约束的集中充电站参与配电网峰谷调控的数学模型。为了克服粒子群优化算法在求解高维优化问题时容易陷入局部最优的缺点,提出了基于子矢量的改进粒子群优化算法,该算法将一个高维优化问题转化为多个低维优化问题,大幅降低了该算法陷入局部最优的可能性,并通过分析得出可分性是应用该算法求解高维优化问题的关键,但是该研究的应用背景不满足可分性的要求,于是通过预先设置合理的条件,使之满足可分性的要求。通过算例验证了该算法的有效性,给出了集中充电站参与配电网峰谷调控的最优策略。
关键词:  集中充电站  配电网  峰谷调控  粒子群优化算法  子矢量
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Strategy for central charging station participating in peak-valley regulation of distribution network
YAO Yousu1, MA Jianwei2, QI Jiajin3, ZHANG Shu1, ZHANG Rui1, LIU Xiaosheng1
1.School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China;2.State Grid Corporation of China,Beijing 100031,China;3.State Grid Hangzhou Power Supply Company,Hangzhou 310009,China
Abstract:
Based on Hangzhou electric vehicle service network,the significance of the CCS(Central Charging Station) participating in the peak-valley regulation of distribution network is elaborated. A mathematical model with the minimum load fluctuation as its optimization objective is established for it,including the constraints of power battery charging / discharging direction,charging / discharging power and SOC (State Of Charge). An IPSOS (Improved PSO based on Sub-vector) is proposed,which divides a high-dimensional optimization problem into several low-dimensional ones to greatly reduce the possibility of local optimum of PSO (Particle Swarm Optimization) algorithm. Analysis shows the divisibility of high-dimensional optimization problem is the key of IPSOS algorithm application. Therefore,a rational assumption is preset for the CCS participating in the peak-valley regulation to meet the requirement of divisibility. Case study verifies the effectiveness of the proposed algorithm and the best strategy for the CCS participating in the peak-valley regulation of distribution network is given.
Key words:  central charging station  distribution network  peak-valley regulation  particle swarm optimization algorithm  sub-vector

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