Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Optimal V2G scheduling of electric vehicles and Unit Commitment using Chemical Reaction Optimization

Language

English

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. © 2013 IEEE.

Keywords

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

Publication Date

2013

Source Publication Title

2013 IEEE Congress on Evolutionary Computation June 20-23, Cancún, México

Start Page

392

End Page

399

Conference Location

Cancún, México

Publisher

IEEE

DOI

10.1109/CEC.2013.6557596

Link to Publisher's Edition

http://dx.doi.org/10.1109/CEC.2013.6557596

ISBN (print)

9781479904532

ISBN (electronic)

9781479904525

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