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

doi:10.11930/j.issn.1004-9649.20160024

Abstract

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.

Key words: fault judgment, power grid, gray correlation, information fusion, judgment model

CLC Number:

TM732

LV Xiaohong, ZHANG Min, CAO Wenzhong, XIONG Laihong. Research on Power Grid Fault Judgment Model Based on Gray Experience Fusion[J]. Electric Power, 2018, 51(4): 27-32.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.20160024

https://www.electricpower.com.cn/EN/Y2018/V51/I4/27

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