Optimal V2G scheduling of electric vehicles and unit commitment using chemical reaction optimization

James J.Q. Yu, Victor O.K. Li, Yun Sang Albert LAM

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatten the load profile of the electricity system, EV scheduling has become a hot research topic in recent years. In this paper, we propose a new formulation of the joint scheduling of EV and Unit Commitment (UC), called EVUC. Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem.

Original languageEnglish
Title of host publication2013 IEEE Congress on Evolutionary Computation, CEC 2013
Pages392-399
Number of pages8
DOIs
Publication statusPublished - 2013
Event2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Mexico
Duration: 20 Jun 201323 Jun 2013

Publication series

Name2013 IEEE Congress on Evolutionary Computation, CEC 2013

Conference

Conference2013 IEEE Congress on Evolutionary Computation, CEC 2013
Country/TerritoryMexico
CityCancun
Period20/06/1323/06/13

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

User-Defined Keywords

  • chemical reaction optimization
  • Electric vehicle
  • metaheuristic
  • power system
  • smart grid
  • unit commitment
  • vehicle-to-grid

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