The fault diagnosis for substation based on the fault-mass

Bingda Zhang, Zhongkun Ma, Wai Lok Chan, K. M. Tsang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

A new method based on fault-mass made up of a fault source and some non-operations is proposed to diagnose various faults that may occur in substation. The uncertainties in such problems as protective device non-operations, circuit breaker non-operations and missing signals are properly solved. Protection schemes are described as Petri-net models, from which all couples of fault-masses and symptom-masses are obtained. Candidate answers are evaluated by the fitness function, and then the optimal answers are found out. adopting the genetic algorithm. Trials prove that the developed methodology can efficiently identify not only fault-masses but also missing signals according to the known fault symptoms. It has great potential for on-line application.
Original languageEnglish
Title of host publicationSixth International Conference on Advances in Power System Control, Operation and Management - Proceedings
Pages308-311
Number of pages4
Volume1
Publication statusPublished - 1 Dec 2003
EventSixth International Conference on Advances in Power System Control, Operation and Management - Proceedings - Hong Kong, Hong Kong
Duration: 11 Nov 200314 Nov 2003

Conference

ConferenceSixth International Conference on Advances in Power System Control, Operation and Management - Proceedings
CountryHong Kong
CityHong Kong
Period11/11/0314/11/03

Keywords

  • Fault diagnosis
  • Fault-mass
  • Genetic algorithm
  • Petri-net
  • Substation

ASJC Scopus subject areas

  • Engineering(all)

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