|本期目录/Table of Contents|

[1]高敬更,李 项,张勇红,等.基于PSO算法的电动汽车电能计量优化[J].工业仪表与自动化装置,2019,(02):49-52.[doi:1000-0682(2019)02-0000-00]
　GAO Jinggeng,LI Xiang,ZHANG Yonghong,et al.An electric vehicle energy metering optimization based on particle swarm optimization[J].Industrial Instrumentation & Automation,2019,(02):49-52.[doi:1000-0682(2019)02-0000-00]
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基于PSO算法的电动汽车电能计量优化

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2019年02期
页码:
49-52
栏目:
出版日期:
2019-04-15

文章信息/Info

Title:
An electric vehicle energy metering optimization based on particle swarm optimization
作者:
高敬更1; 2; 李 项2; 张勇红3; 王兴贵2; 陈 欣1
1.国网甘肃省电力公司电力科学研究院，兰州 730070；
2.兰州理工大学 电气工程与信息工程学院，兰州 730050；
3.国网甘肃省电力公司，兰州 730030
Author(s):
GAO Jinggeng1; 2;  LI Xiang2; ZHANG Yonghong3; WANG Xinggui2; CHEN Xin1
1. State Grid Gansu Electric Power Company Electric Power Research Institute, Lanzhou 730070,China;
2.College of Electrical Engineering and information Engineering, Lanzhou university of Technology, Lanzhou 730050, China;
3. State Grid Gansu Electric Power Company, Lanzhou 730030, China)
关键词:
电动汽车; 三相电压不平衡; 粒子群算法; 单相电价
Keywords:
electric vehicle;  three-phase voltage unbalance;  PSO;  single-phase electricity price
分类号:
U469.72;TM933.4
DOI:
1000-0682(2019)02-0000-00
文献标志码:
A
摘要:
电动汽车充电过程中电能的准确计量对其推广具有重要研究意义。该文建立了三相电压不平衡度模型，以三相电压不平衡度最小为优化目标，利用标准粒子群(Particle Swarm Optimization,PSO)算法采用MATLAB编程对其进行优化，根据优化结果通过调整单相电价的方式引导电动汽车有序充电，使得三相电压不平衡度最小。最终解决电动汽车充电过程中由于负荷不平衡引起的三相电压不平衡导致单相充电用户收费不合理的问题。算例分析表明，标准粒子群算法能够有效地优化电动汽车作为单相负荷引起的三相电压不平衡问题。
Abstract:
The accurate measurement of electric energy in the process of charging of electric vehicles is great significance to its promotion.The three-phase voltage unbalance model was established, and the Optimization objective was to minimize the three-phase voltage unbalance.The standard particle swarm optimization(PSO) algorithm was applied to optimize the three-phase voltage unbalance model with MATLAB programming.According to the optimization results,the orderly charging of electric vehicles is guided by adjusting the single-phase electricity price,make the three-phase voltage imbalance is minimized.Finally,the charge unreasonable problem of single-phase users of three-phase voltage unbalance caused by load unbalance in the charging process of electric vehicle is solved. Example analysis shows that the particle swarm optimization can effectively optimize the three-phase voltage unbalance problem caused by the single-phase load of electric vehicles.

参考文献/References:

[1] 《电动汽车能量消耗率限值》国家标准[EB/OL] . 2017-08-14

[2] 宋辉辉.电动汽车充电站充电系统研究[D].辽宁科技大学,2012
[3] Shi Y, Eberhart R. A modified particle swarm optimizer [M]// Advances in Natural Computation. Springer Berlin Heidelberg, 1998:439-439.
[4] 罗卓伟, 胡泽春, 宋永华,等. 电动汽车充电负荷计算方法[J]. 电力系统自动化, 2011, 35(14):36-42.
[5] 燕来荣. 快速充电为电动汽车铺路搭桥带来新商机[J]. 交通与运输, 2011, 27(2):42-43.
[6] Pillay P, Manyage M. Definitions of Voltage Unbalance[J]. Power Engineering Review IEEE, 2001, 21(5):49-51.
[7] 柳信维, 杨浩, 殷家敏. 三相不对称负荷的计量误差分析[J]. 重庆电力高等专科学校学报, 2011, 16(2):80-82.
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备注/Memo

备注/Memo:
收稿日期：2018-08-01
基金项目：国家电网公司科技项目资助（52272216003）
作者简介：高敬更（1984），男，河南南阳人，博士研究生，高级工程师，主要研究方向为电能计量技术与管理。
更新日期/Last Update: 2019-04-15