A Review of EV Load Scheduling with Wind Power Integration^*

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• 作者：Qilong Huang^* ; ^{huangql10@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Qing-Shan Jia^* ; ^{jiaqs@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Xiaohong Guan^* ; ^** ; ^{xhguan@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Electric vehicles ; wind power ; optimization ; review
• 刊名：IFAC-PapersOnLine
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：48
• 期：28
• 页码：223-228
• 全文大小：506 K

文摘

Due to the environmental concerns, it attracts more and more attention on the usage of the clean energy, such as the wind power. An important utilization of wind power is to charge the clean-emission electric vehicles (EVs). However, due to the uncertainties in the wind supply and EV moving, it is still challenging to schedule the EV charging and the wind power generation to improve the wind power utilization. This paper reviews the existing models and methods on solving this scheduling problem. We make the following contributions. First, we review the existing models for the wind power prediction. The differences of these models are analyzed. Second, we review the existing models for the EV moving prediction. The main challenges in the prediction will be discussed. Third, we discuss the existing methods to schedule the EV charging load to match the wind power. Several future research directions of this scheduling problem are discussed.