Cross-entropy-based approach to multi-objective electric vehicle charging infrastructure planning

Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2 Citations (Scopus)

Abstract

Pure electric vehicles (PEVs) are increasingly adopted to decarbonize the transport sector and mitigate global warming. However, the inadequate PEV charging infrastructure may hinder the further adoption of PEVs in the large-scale traffic network, which calls for effective planning solutions for the charging station (CS) placement. The deployment of charging infrastructure inevitably increases the load on the associated power distribution network. Therefore, we are motivated to develop a comprehensive multi-objective framework for optimal CS placement in a traffic network overlaid by a distribution network, considering multiple stakeholders' interested factors, such as traffic flow, PEV charging time cost, PEV travel distance, and the reliability of the distribution network. We leverage a cross-entropy-based method to solve the optimal CS placement and evaluate our method in a real-world 183-node traffic network in Chengdu, China, overlaid by a 26-region distribution network. It is demonstrated that our work provides various viable planning options favoring different objectives for the stakeholders' decision-making in practice.

Original languageEnglish
Title of host publication2023 IEEE IAS Industrial and Commercial Power System Asia (IEEE I&CPS Asia 2023)
EditorsBo Hu, Sidun Fang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1641-1647
Number of pages7
ISBN (Electronic)9798350339345, 9798350339338
ISBN (Print)9798350339352
DOIs
Publication statusPublished - 2023
EventIEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023 - Chongqing, China
Duration: 7 Jul 20239 Jul 2023
https://ieeexplore.ieee.org/xpl/conhome/10294329/proceeding (Proceedings)
https://www.ieee-icps.com/ (Website)

Conference

ConferenceIEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023
Country/TerritoryChina
CityChongqing
Period7/07/239/07/23
Internet address

Keywords

  • charging infrastructure planning
  • cross-entropy method
  • Electric vehicle
  • multi-objective optimization

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