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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摘要基于设备全寿命周期成本(LCC)建立了配电网变电站选址定容新模型, 模型统筹考虑了规划方案的初始投资成本、运行维护成本、故障成本、废弃成本, 在满足安全、效能的前提下使得规划模型在全寿命周期内经济性最优。提出一种将均值聚类与随机粒子群算法相结合的改进粒子群算法对上述规划模型进行求解, 该算法克服了粒子群优化算法(PSO)的早熟现象。通过规划实例验证了该文所提模型和方法正确性和有效性, 其规划结果科学、可行, 具有更高的实用价值。

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	苏海锋
	张建华
	梁志瑞
	张硕
	牛胜锁

关键词 ：全寿命周期成本, 随机粒子群算法, 均值聚类分析, 变电站选址定容, 配电网络规划

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

收稿日期: 2011-05-17 出版日期: 2014-03-20

PACS:

TM714

基金资助:国家自然科学基金(50877026)和国家863高技术基金(2008AA05Z216)资助项目。

作者简介: 苏海锋男, 1977年生, 讲师, 博士研究生, 主要从事电网规划及电能质量监测方面的研究工作。张建华男, 1952年生, 教授, 博士生导师, 主要研究方向为电力系统运行分析与控制、分布发电技术、配电自动化和静止无功补偿等。

引用本文:

苏海锋, 张建华, 梁志瑞, 张硕, 牛胜锁. 基于改进均值聚类随机粒子群算法的变电站LCC规划[J]. 电工技术学报, 2012, 27(4): 209-215. Su Haifeng, Zhang Jianhua, Liang Zhirui, Zhang Shuo, Niu Shengsuo. Substation LCC Planning Based on Refined Mean Clustering Random Particle Swarm Algorithm. Transactions of China Electrotechnical Society, 2012, 27(4): 209-215.

链接本文:

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

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