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适用于配电网规划的可靠性指标改进显式估算算法

苏韵掣 刘俊勇 刘友波 向月 李媛禧 陈金祥

电力系统自动化2017,Vol.41Issue(1):79-87,9.
电力系统自动化2017,Vol.41Issue(1):79-87,9.DOI:10.7500/AEPS20160309004

适用于配电网规划的可靠性指标改进显式估算算法

Improved Explicit Analytical Evaluation Algorithm of Reliability Indices for Distribution Network Planning

苏韵掣 1刘俊勇 1刘友波 1向月 1李媛禧 2陈金祥3

作者信息

  • 1. 四川大学电气信息学院,四川省成都市 610065
  • 2. 国网北京市电力公司,北京市100002
  • 3. 福建省电力科学研究院,福建省福州市 350007
  • 折叠

摘要

Abstract

An improved explicit analytical evaluation algorithm of reliability indices is proposed for distribution network planning.Differences between feeder topologies are measured by the tree edit distance, which is used in the hierarchical clustering algorithm for the planning area.By choosing the clustering centers as typical topologies, which take the place of the simple radial topology in the traditional approximate evaluation algorithm, the reliability evaluation model is established.Based on the up-stream isolation and down-stream transfer capability of each typical topology, reliability indices are formulated by regressive analysis, respectively.The influences from various reliability enhancement equipment and different outage modes are included in the process.A city distribution network case study shows that the proposed algorithm can still guarantee a high calculation accuracy when faced with various topologies.Besides, it can improve the solution quality and stability in the distribution network planning optimization process.

关键词

中压配电网/可靠性评估/近似估算/树编辑距离/拓扑聚类

Key words

medium-voltage distribution system/reliability evaluation/approximate calculation/tree edit distance/topology clustering

引用本文复制引用

苏韵掣,刘俊勇,刘友波,向月,李媛禧,陈金祥..适用于配电网规划的可靠性指标改进显式估算算法[J].电力系统自动化,2017,41(1):79-87,9.

基金项目

国家自然科学基金重点资助项目(51437003) (51437003)

国家高技术研究发展计划(863计划)资助项目(2014AA051901) (863计划)

This work is supported by the State Key Program of National Natural Science Foundation of China (No.51437003) and National High Technology Research and Development Program of China (863 Program) (No.2014AA051901). (No.51437003)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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