基于改进均值聚类随机粒子群算法的变电站LCC规划

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Abstract Based on the life cycle cost (LCC) of equipment to establish the new model of substation locating and sizing. The substation plan initial investment, operation cost and maintenance cost, fault cost and diposal cost are considered in the model. So the planning model achieves not only economic optimum, but also reliability and efficiency level. The improved algorithm that combined mean clustering algorithm with random particle swarm algorithm is presented and avoids premature phenomena. The model and the improved algorithm are tested by a realistic planning project to verify the effectiveness and feasibility, and have high practical value.

Key words： Life cycle cost random particle swarm algorithm mean clustering analysis substation locating and sizing distribution network planning

Received: 17 May 2011 Published: 20 March 2014

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TM714

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	Articles by authors
	Su Haifeng
	Zhang Jianhua
	Liang Zhirui
	Zhang Shuo
	Niu Shengsuo

Cite this article:

Su Haifeng,Zhang Jianhua,Liang Zhirui等. Substation LCC Planning Based on Refined Mean Clustering Random Particle Swarm Algorithm[J]. Transactions of China Electrotechnical Society, 2012, 27(4): 209-215.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I4/209

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