Demand-Side Resource Planning Based on CNBPSO Algorithm

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

Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (10): 130-133,152.doi: 10.3969/j.issn.1000-565X.2010.10.024

• Power & Electrical Engineering • Previous Articles Next Articles

Demand-Side Resource Planning Based on CNBPSO Algorithm

Huang Ping ^1.2 Zhang Yao² Yu Jin-yang¹

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

Received:2009-11-13 Revised:2010-05-04 Online:2010-10-25 Published:2010-10-25
Contact: 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． E-mail:huangp@scut．edu．cn
About author: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．
Supported by:
国家“973”计划项目（20091072）; 国家“十一五”重点科技攻关项目（2006BAA02A17）

Abstract

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

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 Edition), 2010, 38(10): 130-133,152.

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Demand-Side Resource Planning Based on CNBPSO Algorithm

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