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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 379250, 10 pages
http://dx.doi.org/10.1155/2015/379250
Research Article

Optimal Economic Operation of Islanded Microgrid by Using a Modified PSO Algorithm

1School of Electric Power, South China University of Technology, No. 381, Wushan Road, Tianhe District, Guangzhou 510641, China
2Guangdong Key Laboratory of Clean Energy Technology, No. 381, Wushan Road, Tianhe District, Guangzhou 510641, China

Received 29 October 2014; Revised 18 February 2015; Accepted 18 February 2015

Academic Editor: Gerhard-Wilhelm Weber

Copyright © 2015 Yiwei Ma 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

An optimal economic operation method is presented to attain a joint-optimization of cost reduction and operation strategy for islanded microgrid, which includes renewable energy source, the diesel generator, and battery storage system. The optimization objective is to minimize the overall generating cost involving depreciation cost, operation cost, emission cost, and economic subsidy available for renewable energy source, while satisfying various equality and inequality constraints. A novel dynamic optimization process is proposed based on two different operation control modes where diesel generator or battery storage acts as the master unit to maintain the system frequency and voltage stability, and a modified particle swarm optimization algorithm is applied to get faster solution to the practical economic operation problem of islanded microgrid. With the example system of an actual islanded microgrid in Dongao Island, China, the proposed models, dynamic optimization strategy, and solution algorithm are verified and the influences of different operation strategies and optimization algorithms on the economic operation are discussed. The results achieved demonstrate the effectiveness and feasibility of the proposed method.