Power System Distributed On-line Fault Section Estimation Using Decision Tree Based Neural Nets Approach

Hong Tzer Yang, Wen Yeau Chang, Ching Lien Huang

研究成果: Article同行評審

31 引文 斯高帕斯(Scopus)

摘要

This paper proposes a distributed neural nets decision approach to on-line estimation of the fault section of a transmission and distribution (T&D) system. The distributed processing alleviates the burden of communication between the control center and local substations, and increases the reliability and flexibility of the diagnosis system. Besides, by using the algorithms of data-driven decision tree induction and direct mapping from the decision tree into neural net, the proposed diagnosis system features parallel processing and easy implementation, overcoming the limitations of overly large and complex system. The approach has been practically tested on a typical Taiwan Power (Taipower) T&D system. The feasibility of such a diagnosis system is presented.

原文English
頁(從 - 到)540-546
頁數7
期刊IEEE Transactions on Power Delivery
10
發行號1
DOIs
出版狀態Published - 1995 一月

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

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