James Jianqiao Yu
余剑峤
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Lecturer

Department of Computer Science

University of York

CSE/139, YO10 5GH, UK

jqyu(at)ieee.org CV Google Scholar
Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization

Authors
James J.Q. Yu, Victor O.K. Li, and Albert Y.S. Lam

Publication
Proc. IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 2013

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.