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Distributionnetwork fault diagnosis method based on multi-factor hierarchical petri net

  • Xuehan Jia
  • , Dongsheng Yang
  • , Wei Zheng
  • , Yingjiao Bi
  • Northeastern University China
  • State Grid Yingkou Electric Power Supply Company

Research output: Contribution to journalArticlepeer-review

Abstract

Using probabilistic methods in fault diagnosis can bring a significant risk for dispatching operation.This paper presents a multi-factor hierarchical Petri net model for distribution network fault diagnosis to solve problem of mal-operation or failure to trip protection relay and circuit breaker when fault diagnosis information is uncertain. This method took fully into account information of protection starting, protection exiting, reclosingand circuitbreaker action, sequence of event (SOE) timing and continuous electrical quantity and realized distribution network fault diagnosis under uncertain fault information. When fault information of distribution network was uncertain, this method would took continuous electrical quantities and SOE timing information as input of primary diagnosis zone of the model. Then, reasoning process for determining and stimulating Token energy's change was presented according comparison results of fault time between continuous electric quantity and SOE timing information, and fault diagnosis result under uncertain information was obtained. Finally, simulation was performed for a local distribution network model with results showing effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1015-1021
Number of pages7
JournalDianwang Jishu/Power System Technology
Volume41
Issue number3
DOIs
StatePublished - 5 Mar 2017
Externally publishedYes

Keywords

  • Continuous electrical quantity
  • Multi-factor hierarchical Petri net
  • Protection starting information
  • SOE
  • Token energy

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