An EV Charging Guiding Strategy Based on Fast Charging Demand in Urban Area

カテゴリ: 研究会(論文単位)

論文No: ST17052

グループ名: 【C】電子・情報・システム部門 システム研究会

発行日: 2017/11/10

タイトル(英語): An EV Charging Guiding Strategy Based on Fast Charging Demand in Urban Area

著者名: Shao Yinchi(Tianjin University China),Mu Yunfei(Tianjin University China),賈 宏杰(東北学院大学),呉 国紅(東北学院大学),Yu Xiaodan(Tianjin University China)

著者名(英語): Yinchi Shao(Tianjin University China),Yunfei Mu(Tianjin University China),Hongjie Jia(Tohoku Gakuin University Japan),Guohong Wu(Tohoku Gakuin University Japan),Xiaodan Yu(Tianjin University China)

キーワード: EV|Fast charging|Charging load|Dynamic queue|Charging price|Guiding strategy

要約(日本語): This paper proposes an EV charging guiding strategy based on the fast charging demand in urban areas. Based on the EV charging demand, a double queue model is proposed to simulate the dynamic queue of EV charging stations. Then, a price based stimulus method is adopted to guide the EV user to choose the charging station for minimizing the charging cost. Finally, a case is demonstrated to prove the effectiveness of the strategy.

要約(英語): This paper proposes an EV charging guiding strategy based on the fast charging demand in urban areas. Based on the EV charging demand, a double queue model is proposed to simulate the dynamic queue of EV charging stations. Then, a price based stimulus method is adopted to guide the EV user to choose the charging station for minimizing the charging cost. Finally, a case is demonstrated to prove the effectiveness of the strategy.

原稿種別: 英語

PDFファイルサイズ: 1,179 Kバイト