引用本文: | 黄贵鸿,雷霞,芦杨,王宇哲,陈晓盛.考虑用户满意度的电动汽车用户侧最优智能充放电策略[J].电力系统保护与控制,2015,43(24):40-47.[点击复制] |
HUANG Guihong,LEI Xia,LU Yang,WANG Yuzhe,CHEN Xiaosheng.Optimus smart charge-discharge tactics in electric vehicle user profile considering user’s satisfaction[J].Power System Protection and Control,2015,43(24):40-47[点击复制] |
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摘要: |
为使电动汽车充放电调度更具有实际应用价值,从电动汽车用户侧的视角,充分考虑电动汽车用户的行驶需求,将用户满意度定义为充放电成本与合理性的组合,结合电池使用成本,提出了以用户满意度最大为目标的电动汽车最优充放电调度策略。并在此基础上,探讨了在不同权重组合模式下,用户满意度的表现形式。通过粒子群算法,在Matlab中的仿真结果可以验证,在不同的模式下,此充放电策略均能实现用户满意度的最大化,且不会对现有城市配电网的安全性带来严重的影响。 |
关键词: 电动汽车 充放电调度 权重组合 粒子群算法 用户满意度 |
DOI:10.7667/j.issn.1674-3415.2015.24.007 |
投稿时间:2015-03-09修订日期:2015-04-15 |
基金项目:四川省电力电子节能技术与装备重点实验室开放基金(szjj2014-015);四川省教育厅重点项目(11za002);西华大学研究生创新基金(ycjj2015096) |
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Optimus smart charge-discharge tactics in electric vehicle user profile considering user’s satisfaction |
HUANG Guihong,LEI Xia,LU Yang,WANG Yuzhe,CHEN Xiaosheng |
(Key Laboratory of Power Electronic Energy-saving Technology & Equipment (Xihua University), Chengdu 610039, China) |
Abstract: |
In order to meet the practical value of electric vehicle dispatch, from user profile, this paper adequately takes the electric vehicle users’ driving demand into consideration, defines the users’ satisfaction as the combination between charging-discharging cost and reasonability, and puts forward the electric vehicle optimus charging-discharging tactics in terms of the users’ satisfaction maximization, with combination of the battery cost. On this basis, this paper discusses the different users’ satisfaction pattern under different weight combinations. Through particle swarm optimization, the simulation result in Matlab can verify that users’ satisfaction maximization can be realized by the tactics put forward in this paper, meanwhile, the tactics under all of the patterns will not arouse serious effects on the existing urban electric distribution network. |
Key words: electric vehicle charging and discharging dispatch weight value combination particle swarm optimization (PSO) users’ satisfaction |