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计及分布式电源的电能质量监测点优化配置

翁国庆 黄飞腾 南余荣 朱双双 杨晓东

电工技术学报2017,Vol.32Issue(13):229-238,10.
电工技术学报2017,Vol.32Issue(13):229-238,10.DOI:10.19595/j.cnki.1000-6753.tces.151913

计及分布式电源的电能质量监测点优化配置

Optimize Allocation of Power Quality Monitoring Sites withDistributed Generators

翁国庆 1黄飞腾 1南余荣 1朱双双 1杨晓东1

作者信息

  • 1. 浙江工业大学信息工程学院 杭州 310023
  • 折叠

摘要

Abstract

In order to comprehensively achieve monitoring and diagnosis of the power quality disturbance events in the smart grid as well as consider the optimization of system costs and the interconnection of distributed generators, this paper analyzes the deficiencies of the existing optimal allocation methods for the power quality (PQ) monitors. The model and steps of the binary particle swarm optimization (BPSO) are improved, and a new evaluation function is constructed. Considering the entirely observable network in the domain of the node voltage sag and the completeness of the current information, a novel allocation method based on improved particle swarm optimization is proposed. The improved BPSO is used to iterate the optimal allocation of PQ monitoring sites. Thus the system optimization between the performance and the costs is achieved. Finally, the simulations are carried out using four kinds of distribution networks. The results show that, with fast convergence and good applicability, the proposed algorithm can effectively achieve the diagnosis and optimal allocation of the PQ monitoring sites at a low cost.

关键词

电能质量/监测点/优化配置/改进粒子群优化/分布式电源

Key words

Power quality/monitoring sites/optimal allocation/improved particle swarm optimization/distributed generators

分类

信息技术与安全科学

引用本文复制引用

翁国庆,黄飞腾,南余荣,朱双双,杨晓东..计及分布式电源的电能质量监测点优化配置[J].电工技术学报,2017,32(13):229-238,10.

基金项目

国家自然科学基金(51207139、51407160),浙江省自然科学基金(LY17E070005)和浙江工业大学创新性实验项目(ZJ201619)资助. (51207139、51407160)

电工技术学报

OA北大核心CSCDCSTPCD

1000-6753

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