集中充电站参与配电网峰谷调控策略  

Strategy for central charging station participating in peak-valley regulation of distribution network

作　　者：姚友素 马建伟[2] 戚佳金 张树[1] 张芮[1] 刘晓胜[1] 

机构地区：[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

出　　处：《电力自动化设备》2016年第6期130-135,共6页Electric Power Automation Equipment

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。Based on Hangzhou electric vehicle service network,the significance of the CC5（12entral t^hargmgStation） participating in the peak-valley regulation of distribution network is elaborated. A mathematicalmodel with the minimum load fluctuation as its optimization objective is established for it,including theconstraints of power battery charging/discharging direction,charging/discharging power and SOC（State OfCharge）. An IPSOS（Improved PS0 based on Sub-vector） is proposed,which divides a high-dimensionaloptimization problem into several low-dimensional ones to greatly reduce the possibility of local optimum ofPSO （Particle Swarm Optimization） algorithm. Analysis shows the divisibility of high-dimensional optimizationproblem is the key of IPSOS algorithm application. Therefore,a rational assumption is preset for the CCSparticipating in the peak-valley regulation to meet the requirement of divisibility. Case study verifies theeffectiveness of the proposed algorithm and the best strategy for the CCS participating in the peak-valleyregulation of distribution network is given.

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 

分 类 号：TM71[电气工程—电力系统及自动化]