V2G模式下基于电动汽车分群方法的配电网多目标优化运行策略

doi:DOI： 10.3969/j.issn.1000-7229.2018.08.008

电力建设 ›› 2018, Vol. 39 ›› Issue (8): 59-68.doi: DOI： 10.3969/j.issn.1000-7229.2018.08.008

V2G模式下基于电动汽车分群方法的配电网多目标优化运行策略

梅哲1, 詹红霞1, 苑吉河2, 黄虎2, 张曦2, 邓强1

1.西华大学电气与电子信息学院, 成都市 610039；2.国网重庆电力公司南岸供电分公司, 重庆市 400060

出版日期:2018-08-01
作者简介:梅哲（1995），男，硕士研究生，主要研究方向为电动汽车与分布式能源入网的配电网优化运行；詹红霞（1971），女，副教授，硕士生导师，通信作者，主要研究方向为电力系统保护与控制以及新能源并网；苑吉河（1977），男，高级工程师，主要从事输变电运检管理工作；黄虎（1974），男，高级工程师，主要从事变电运行管理工作；张曦（1977），男，高级工程师，主要从事配电网安全性与智能化研究工作；邓强（1993），男，硕士研究生，主要研究方向为新能源并网的电力系统优化调度。
基金资助:
四川省电力电子节能技术与装备重点实验室基金项目（szjj2016-047）；四川省教育厅项目（18ZB0566）

Multi-objective Optimal Operating Strategy of Distribution Network Considering V2G on the Basis of Grouping Method of Electric Vehicles

MEI Zhe1, ZHAN Hongxia1, YUAN Jihe2, HUANG Hu2, ZHANG Xi2, DENG Qiang1

1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China ；2.State Grid Chongqing Nanan Electric Power Supply Company, Chongqing 400060, China

Online:2018-08-01
Supported by:
This work is supported by Sichuan Province Key Laboratory of Power Electronics Energy-saving Technologies & Equipment （No.szjj2016-047） and Scientific Reserch Fund of Sichuan Provincial Education Department （No.18ZB0566）.

摘要/Abstract

摘要： 为减小电动汽车无序入网与分布式能源的波动性给配电网带来的影响，提出了一种V2G（vehicle to grid）模式下基于电动汽车分群方法的配电网运行策略。在系统宏观与具体网络拓扑结构2个层面，依据车主费用、配电网负荷均方差与网损搭建了内外嵌套模型，基于电动汽车充放电与分布式能源配合，对源网荷三方协调优化，得到配电网的最优运行工况。基于开始充电时刻和车主期望电量充电所需时间2个特征值的电动汽车分群方法，在减少变量维度的同时，也考虑到了车主的出行需求。采用GA-PSO（genetic and particle swarm optimization algorithm）算法在4种场景下的算例仿真表明，该策略在保障电动汽车车主利益的同时，可有效降低配电网负荷水平、平抑负荷波动、减小峰谷差、改善电压水平以及减小网损。

关键词: 电动汽车, 分布式能源, 分群方法, GA-PSO算法, 配电网, 运行策略

Abstract: Disordered charging of electric vehicles and the fluctuation of distributed energy resources may do harm to the distribution network. An operating strategy of distribution network considering V2G on the basis of grouping method of electric vehicles is proposed to reduce the influence. An internal and external nested model is built on the basis of two aspects of macroscopic system and network topology. Cost of owners, standard deviation of distribution network and network losses are considered as objectives. In this model, distributed energy resources, distribution network and vehicles are optimized correspondingly. The optimal operating states can be gotten by the coordination of vehicles and the resources. To meet owners mobility needs, a grouping method based on two eigenvalues is proposed, which are the moment of starting to charge and the time that is needed to get owners expected charge state. Thus, dimensions of variate are decreased. Case analyses in four scenarios are solved by GA-PSO algorithm. The strategy is proved to ensure the benefit of owners, decrease load level, stabilize load fluctuations, abate difference of peak and valley load, improved voltage level and reduce network losses.

Key words: electric vehicles, distributed energy resource, grouping method, GA-PSO algorithm, distribution network, operating strategy

中图分类号:

TM 732

梅哲, 詹红霞, 苑吉河, 黄虎, 张曦, 邓强. V2G模式下基于电动汽车分群方法的配电网多目标优化运行策略[J]. 电力建设, 2018, 39(8): 59-68.

MEI Zhe, ZHAN Hongxia, YUAN Jihe2 HUANG Hu, ZHANG Xi, DENG Qiang. Multi-objective Optimal Operating Strategy of Distribution Network Considering V2G on the Basis of Grouping Method of Electric Vehicles[J]. Electric Power Construction, 2018, 39(8): 59-68.

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V2G模式下基于电动汽车分群方法的配电网多目标优化运行策略

Multi-objective Optimal Operating Strategy of Distribution Network Considering V2G on the Basis of Grouping Method of Electric Vehicles

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