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基于交替方向乘子法的电动汽车分散式充电控制

吕仁周 白晓清 李佩杰 代景龙 林颂晨

电力系统自动化2016,Vol.40Issue(16):56-63,8.
电力系统自动化2016,Vol.40Issue(16):56-63,8.DOI:10.7500/AEPS20150731006

基于交替方向乘子法的电动汽车分散式充电控制

Decentralized Charging Control of Electric Vehicles Based on Alternate Direction Method of Multiplier

吕仁周 1白晓清 2李佩杰 1代景龙 2林颂晨1

作者信息

  • 1. 广西大学电气工程学院,广西壮族自治区南宁市 530004
  • 2. 广西电力系统最优化与节能技术重点实验室,广西大学,广西壮族自治区南宁市 530004
  • 折叠

摘要

Abstract

The random charging of electric vehicles ( EVs) will cause many adverse effects on the security and economical operation of a power system . A multi‐objective optimization model is proposed for real‐time charging control aimed at maximization of the EV owners benefit and minimization of the active power loss . By using the alternate direction method of multiplier ( ADMM ) , the centralized optimization model of charging can be converted into individual sub ‐problems in the decentralized optimization model with the device as the unit . For each iteration of ADMM , only a bit of information is exchanged between the device and the adjacent interactive information points , which is conducive to protecting user information security . Meanwhile , some disadvantages due to centralized optimization can be overcome , such as high communication requirements and high computational overhead . Simulations for IEEE 33‐bus and actual 119‐bus network systems show that the results of the decentralized optimization model and the centralized model are conformable . Moreover , the proposed algorithm shows high computing efficiency , low communication cost and good applicability to the rolling scheduling schema in real ‐time .

关键词

分散式控制策略/电动汽车/交替方向乘子法/滚动优化调度

Key words

decentralized control strategy/electric vehicles/alternate direction method of multiplier ( ADMM )/rolling optimization dispatch

引用本文复制引用

吕仁周,白晓清,李佩杰,代景龙,林颂晨..基于交替方向乘子法的电动汽车分散式充电控制[J].电力系统自动化,2016,40(16):56-63,8.

基金项目

国家重点基础发展研究计划(973计划)资助项目(2013CB228205);国家自然科学基金资助项目(51367004)。 ()

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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