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The Planning of Distribution Generation (DG) Based on Multi-Objective Quantum Particle Swarms Optimization (QPSO)

The Planning of Distribution Generation (DG) Based on Multi-Objective Quantum Particle Swarms Optimization (QPSO)

Wang Yong-mei, Yao wan-ye
Copyright: © 2014 |Volume: 6 |Issue: 1 |Pages: 11
ISSN: 1937-965X|EISSN: 1937-9668|EISBN13: 9781466652712|DOI: 10.4018/ijapuc.2014010101
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MLA

Yong-mei, Wang, and Yao wan-ye. "The Planning of Distribution Generation (DG) Based on Multi-Objective Quantum Particle Swarms Optimization (QPSO)." IJAPUC vol.6, no.1 2014: pp.1-11. http://doi.org/10.4018/ijapuc.2014010101

APA

Yong-mei, W. & Yao wan-ye. (2014). The Planning of Distribution Generation (DG) Based on Multi-Objective Quantum Particle Swarms Optimization (QPSO). International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 6(1), 1-11. http://doi.org/10.4018/ijapuc.2014010101

Chicago

Yong-mei, Wang, and Yao wan-ye. "The Planning of Distribution Generation (DG) Based on Multi-Objective Quantum Particle Swarms Optimization (QPSO)," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 6, no.1: 1-11. http://doi.org/10.4018/ijapuc.2014010101

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Abstract

According to economic-technical optimization objective of distribution network to which distributed generation is added, a multi-objective model is proposed in this paper. The model contains DG construction investment and operation fee, network loss, reliability, as well as environmental factor. and then puts forward the multi-objective quantum particle swarm optimization (QSPO) algorithm, and the distributed power supply after installation position and capacity for the comprehensive planning research. The result proves that QPSO has advantages of speedy searching for the optimum and keeping the population diversity. Compared to Particle Swarms Optimization (PSO), QSPO shows high efficiency and robustness.

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