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文章摘要
基于用户利益与出行意愿的电动汽车充放电调度策略
Charge and discharge control strategy of electric vehicle based on user
Received:April 26, 2017
Revised:April 26, 2017
DOI：
中文关键词
:
电动汽车
粒子群算法
有序充放电调控
用户利益与需求
英文关键词
:
Electric vehicle
Particle Swarm Optimization
Ordered charge and discharge regulation
User interests and need.
基金项目
:
Author Name
Affiliation
E-mail
Yang Chunping
School of Electrical and Electronic Engineering
,
North China Electric Power University
,
Changping District
ychp@ncepu.edu.cn
Zhao Qi
School of Electrical and Electronic Engineering
,
North China Electric Power University
,
Changping District
13681198220@163.com
Qi Bing
*
School of Electrical and Electronic Engineering
,
North China Electric Power University
,
Changping District
13611269526@163.com
Li Bin
School of Electrical and Electronic Engineering
,
North China Electric Power University
,
Changping District
direfish@163.com
Cui Gaoying
State Grid Jiangsu Electric Power Research Institute
958864427@qq.com
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中文摘要
:
现如今,随着越来越多智能充电桩的建立,人们对电动汽车的需求量日益加大,电动汽车不仅可以提高能源利用率、减少污染,而且还可以反向对电网进行供电,达到削峰填谷的目的。但是随着越来越多的电动汽车接入到电网,越来越多的用户参与到电动汽车调度中,电动汽车的充放电调度也变的越为复杂,在以往的一些调控中总是优先考虑电网的峰值负荷如何降低,却很少考虑用户的需求与利益。事实上,我们在保证电网负荷曲线的同时更应该考虑到用户的利益与需求,因为用户的利益与需求才是保证调度计划顺利实施的基础。本文基于用户的利益与出行意愿,利用粒子群算法对电动汽车的充放电进行调度,保证了用户的利益与满意度,同时有效削减了电网峰值时刻的负荷。
英文摘要
:
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