Journal of South China University of Technology(Natural Science) >

2010 , Vol. 38 >Issue 10: 130 - 133,152

DOI: https://doi.org/10.3969/j.issn.1000-565X.2010.10.024

Power & Electrical Engineering

Demand-Side Resource Planning Based on CNBPSO Algorithm

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  • 1.School of Science,South China University of Technology,Guangzhou 510640,Guangdong,China;2.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China
黄平（1963-），男，博士生，高级工程师，主要从事进化计算及其在电力系统中的应用研究．

Received date: 2009-11-13

  Revised date: 2010-05-04

  Online published: 2010-10-25

Supported by

国家“973”计划项目（20091072）; 国家“十一五”重点科技攻关项目（2006BAA02A17）

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Abstract

In order to avoid the local extrema of binary particle swarm optimization（BPSO）,a new algorithm,namely Chaos Niche Binary Particle Swarm Optimizer（CNBPSO）,is proposed by introducing chaotic parameters and the Niche technique in the velocity updating formula of particle swarm optimization（PSO） algorithm.Then,CNBPSO is used to solve two ILS problems with different complexities,and the results are compared with those obtained by BPSO.It is found that CNBPSO is superior to BPSO due to its simplicity,fast speed and equilibrium convergence.

Key words： power system; particle swarm optimization; chaos; niche technique; interruptible load

Cite this article

Huang Ping Zhang Yao Yu Jin-yang . Demand-Side Resource Planning Based on CNBPSO Algorithm[J]. Journal of South China University of Technology(Natural Science), 2010 , 38(10) : 130 -133,152 . DOI: 10.3969/j.issn.1000-565X.2010.10.024

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