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2014 An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA
Wenxia Liu, Yuying Zhang, Bo Zeng, Shuya Niu, Jianhua Zhang, Yong Xiao
J. Appl. Math. 2014(SI07): 1-11 (2014). DOI: 10.1155/2014/623216


The increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of generation and emission costs in the system. As the proposed model belongs to a large-scale nonlinear and nonconvex programming problem, a hybrid heuristic algorithm, named variable step-size chaotic fuzzy quantum genetic algorithm (VSS_QGA), is developed. The algorithm utilizes complementarity among multiple techniques including the variable step size optimization, the rotation mutational angle fuzzy control, and the quantum genetic algorithm and combines them so as to solve problems with superior accuracy and efficiency. The effectiveness of the proposed model is demonstrated through a case study on an actual microgrid system and the advantages in the performance of VSS_QGA is also verified through the comparison with genetic algorithm (GA), the evolutionary programming approach (EP), the quantum genetic algorithm (QGA), and the chaotic quantum genetic algorithm (CQGA).


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Wenxia Liu. Yuying Zhang. Bo Zeng. Shuya Niu. Jianhua Zhang. Yong Xiao. "An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA." J. Appl. Math. 2014 (SI07) 1 - 11, 2014.


Published: 2014
First available in Project Euclid: 1 October 2014

Digital Object Identifier: 10.1155/2014/623216

Rights: Copyright © 2014 Hindawi


Vol.2014 • No. SI07 • 2014
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