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基于灰色经验融合的电网故障研判模型

吕小红 张敏 曹文忠 熊来红

中国电力2018,Vol.51Issue(4):27-32,6.
中国电力2018,Vol.51Issue(4):27-32,6.DOI:10.11930/j.issn.1004-9649.20160024

基于灰色经验融合的电网故障研判模型

Research on Power Grid Fault Judgment Model Based on Gray Experience Fusion

吕小红 1张敏 1曹文忠 1熊来红1

作者信息

  • 1. 国网重庆市电力公司,重庆 400014
  • 折叠

摘要

Abstract

In order to deal with the difference between power grid fault judgment experience and field data, a novel model is proposed for power grid fault judgment based on gray experience fusion, and its frameworks, processing flow and main algorithms are presented. The model utilizes the gray information fusion method to integrate the expert experience and field data. Then the cluster matching method is used to extract the expert experience that is highly similar to the field data and to realize the judgment of present faults. In the end, the expertise database is optimized through integration of the final judgment results, disposal schemes and field data. Comparative experiment illustrates that the model has high fault judgment accuracy, comprehensive fault coverage and better time effectiveness.

关键词

故障检测/电网/灰色关联/信息融合/研判模型

Key words

fault judgment/power grid/gray correlation/information fusion/judgment model

分类

信息技术与安全科学

引用本文复制引用

吕小红,张敏,曹文忠,熊来红..基于灰色经验融合的电网故障研判模型[J].中国电力,2018,51(4):27-32,6.

基金项目

重庆国电科技基金项目(ZD2015072).This work is supported by Chongqing Science and Technology Fund Project of Electric Power(No.ZD2015072). (ZD2015072)

中国电力

OA北大核心CSCDCSTPCD

1004-9649

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