A new intelligent fast Petri-Net model for fault section estimation of distribution systems

Yann Chang Huang, Chao Ming Huang, Chiung Chou Liao, Jen Fu Chen, Hong Tzer Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

This paper proposes a new Petri Nets (PNs) knowledge representation scheme to fast estimate the fault section of distribution systems when a fault occurs. Based on the practical guidelines and the heuristic rules obtained by interacting with the dispatchers of distribution systems, a PNs model is first built to represent the related knowledge about the task of substation fault diagnosis. The PNs model built is then transformed into matrix forms, which are relied on to infer the result of fault diagnosis through simple matrix operations. Due to its graphic representation of the heuristic rules and parallel rule-firing manner via matrix operations, the human expertise on fault diagnosis can be advantageously expressed and exploited by means of the PNs knowledge-representing approach. The system is demonstrated on a practical system of Chung-Hsiao substation at Tainan City, Taiwan. Flexibility and effectiveness of the PNs model have been validated for the fault section estimation.

Original languageEnglish
Title of host publicationPowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings
EditorsKit Po Wong, Bob Stewart, Xiaoxin Zhou, Qi Su
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-222
Number of pages6
ISBN (Electronic)0780363388, 9780780363380
DOIs
Publication statusPublished - 2000 Jan 1
EventInternational Conference on Power System Technology, PowerCon 2000 - Perth, Australia
Duration: 2000 Dec 42000 Dec 7

Publication series

NamePowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings
Volume1

Other

OtherInternational Conference on Power System Technology, PowerCon 2000
CountryAustralia
CityPerth
Period00-12-0400-12-07

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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