On-line fault diagnosis of power substation using connectionist expert system

Hong Tzer Yang, Wen Yeau Chang, Ching Lien Huang

研究成果: Article同行評審

38 引文 斯高帕斯(Scopus)

摘要

This paper proposes a new connectionist (or neural network) expert system for on-line fault diagnosis of a power substation. The Connectionist Expert Diagnosis System has similar profile of an expert system, but can be constructed much more easily from elemental samples. These samples associate the faults with their protective relays and breakers as well as the bus voltages and feeder currents. Through an elaborately designed structure, alarm signals are processed by different connectionist models. The output of the connectionist models is then integrated to provide the final conclusion with a confidence level. The proposed approach has been practically verified by testing on a typical Taiwan Power (Taipower) secondary substation. The test results show that rapid and exactly correct diagnosis is obtained even for the fault conditions involving multiple faults or failure operation of protective relay and circuit breaker. Moreover, the system can be transplanted into various substations with little additional implementation effort.

原文English
頁(從 - 到)323-331
頁數9
期刊IEEE Transactions on Power Systems
10
發行號1
DOIs
出版狀態Published - 1995 二月

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

指紋

深入研究「On-line fault diagnosis of power substation using connectionist expert system」主題。共同形成了獨特的指紋。

引用此