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Mathematical Problems in Engineering
Volume 2013, Article ID 613404, 7 pages
http://dx.doi.org/10.1155/2013/613404
Research Article

Research on ISFLA-Based Optimal Control Strategy for the Coordinated Charging of EV Battery Swap Station

1School of Electrical Engineering, Southeast University, Nanjing 210096, China
2Jiangsu Key Lab of Smart Grid Technology and Equipment, Zhenjiang 212009, China
3School of Information Science and Engineering, Changzhou University, Changzhou 213164, China

Received 28 April 2013; Accepted 24 October 2013

Academic Editor: Yudong Zhang

Copyright © 2013 Xueliang Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

As an important component of the smart grid, electric vehicles (EVs) could be a good measure against energy shortages and environmental pollution. A main way of energy supply to EVs is to swap battery from the swap station. Based on the characteristics of EV battery swap station, the coordinated charging optimal control strategy is investigated to smooth the load fluctuation. Shuffled frog leaping algorithm (SFLA) is an optimization method inspired by the memetic evolution of a group of frogs when seeking food. An improved shuffled frog leaping algorithm (ISFLA) with the reflecting method to deal with the boundary constraint is proposed to obtain the solution of the optimal control strategy for coordinated charging. Based on the daily load of a certain area, the numerical simulations including the comparison of PSO and ISFLA are carried out and the results show that the presented ISFLA can effectively lower the peak-valley difference and smooth the load profile with the faster convergence rate and higher convergence precision.