Optimal allocation of static and dynamic charging facilities for electric vehicles
编号:7 访问权限:仅限参会人 更新:2023-11-20 13:45:31 浏览:486次 口头报告

报告开始:2023年12月09日 09:00(Asia/Shanghai)

报告时间:15min

所在会场:[S4] Power system and automation [S4] Power system and automation

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摘要
With the emergence of dynamic wireless charging technology, electric vehicles can charge while running Given the high cost of dynamic wireless charging, it is foreseeable that plug-in charging and dynamic wireless charging will coexist for a long time. In response to the current lack of research on the location selection of multiple types of charging infrastructure and the lack of consideration for gasoline vehicles, a bi-level optimization model is proposed. The upper-level model determines the location selection plan of charging facilities under a given budget to minimize the total travel cost of the system; the lower-level model introduces a multi-class user equilibrium model to capture the route selection behavior of gasoline and electric vehicles. Genetic algorithm was used to solve and analyze the impact of key parameters such as electric vehicle penetration rate and investment amount on the results.
关键词
Bi-level model; Electric vehicle; Location selection of charging facilities; User equilibrium
报告人
Jingjie Yao
Chang'an University

稿件作者
Xianfeng Xu Chang'an University
Jingjie Yao Chang'an University
Zhen Zhang Chang'an University
Yong Lu Chang'an University
Zhixiong Ma Chang'an University
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重要日期
  • 会议日期

    12月08日

    2023

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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