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 (North China Electric Power University, Hebei, China) and Yao wan-ye (North China Electric Power University, Hebei, China)
DOI: 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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1. Dg Planning Multi-Objective Mathematical Model

With optimizing the power flow and improving the power quality, reasonable DG planning can take into account economic benefit. Its objective functions include technical and economic objectives (Xu & Li, 2010; Wang & Qiu, 2009).

1.1. DG Construction and Operation Costs

Here, the value of is 0 or 1. indicates that DG is not installed in the corresponding position, and indicates that DG is installed in the corresponding position; is the service life of equipment. is the discount rate; andrespectively mean the operation maintenance cost and safety investment cost of DG from node , RMB ten thousand/(kW, h); means the rated capacity of DG from node .

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