Basic study on cooperative management scheme of electric vehicle charging for reduction of impact on low-voltage distribution system

Taisei Ogura, Shinya Yoshizawa, Yu Fujimoto, Masataka Mitsuoka, Yasuhiro Hayashi, Kensuke Murai, Kenta Suzuki, Keigo Ikezoe

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

Abstract

Electric vehicles (EVs) are being introduced all over the world. Under the large-scale EV penetration, the charging behavior of EVs may cause various problems in distribution systems. In particular, when most of the EV owners charge simultaneously during the night while at home, voltage deviation and overloading of pole transformers may be crucial problems. In this paper, a cooperative EV charging management scheme is proposed for alleviating these problems on low-voltage distribution systems by sharing information on the charging status in the neighborhood via home energy management systems (HEMSs). The effectiveness of the proposed scheme is evaluated based on the power flow simulation using a distribution system model reflecting the regional characteristics of a real-world residential area and EV charging profiles reflecting the usage characteristics of real-world EV owners.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Electronic)9781728185507
DOIs
Publication statusPublished - 2020 Nov
Event2020 International Conference on Smart Grids and Energy Systems, SGES 2020 - Virtual, Perth, Australia
Duration: 2020 Nov 232020 Nov 26

Publication series

NameProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020

Conference

Conference2020 International Conference on Smart Grids and Energy Systems, SGES 2020
CountryAustralia
CityVirtual, Perth
Period20/11/2320/11/26

Keywords

  • Distribution systems
  • Electric vehicles
  • Energy management system
  • Power system analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Transportation

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