Cooperative multi-site EMS sharing EV batteries based on model predictive control

Takumi Shibuya, Kazuhide Kuroda, Shinkichi Inagaki, Takuma Yamaguchi, Tatsuya Suzuki, Kenji Hirata, Akira Ito

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates a community energy management system (CEMS) composed of multiple individual EMSs, which minimize the cost of electricity for an entire community by sharing the onboard storage batteries of electric vehicles (EVs) among the multiple EMSs. Because EVs move between sites in the community, the EMSs need to cooperate in recharging and discharging of EV batteries with considering the movement of EVs. In this study, we propose a model predictive control of charging and discharging for EV batteries shared by multiple EMSs based on a mixed-integer quadratic programming method and a quadratic programming method. In addition, the electricity price of trade between an EV and an EMS is derived using the Lagrange multiplier in the optimization problem. Finally, the validity of the proposed system is verified using simulations.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Pages8678-8683
Number of pages6
Edition2
ISBN (Electronic)9781713872344
DOIs
StatePublished - 2023/07/01
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 2023/07/092023/07/14

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd IFAC World Congress
Country/TerritoryJapan
CityYokohama
Period2023/07/092023/07/14

Keywords

  • Community energy management system
  • Duality problem
  • Electric vehicle
  • Electricity price
  • Lagrange multiplier
  • MIQP and QP
  • Model predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering

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