A study on reliability enhancement method and the prediction model construction of medium-voltage customers causing distribution line fault using data mining techniques

Sung Hwan Bae, Ja Hee Kim, Jung Sik Hong, Han Seung Lim

Research output: Contribution to journalArticlepeer-review

Abstract

Distribution line fault has been reduced gradually by the efforts on improving the quality of electrical materials and distribution system maintenance. However faults caused by medium voltage customers have been increased gradually even though we have done many efforts. The problem is that we don't know which customer will cause the fault. This paper presents the concept to find these customers using data mining techniques, which is based on accumulated fault records of medium voltage customers in the past. It also suggests the prediction model construction of medium voltage customers causing distribution line fault and methods to enhance the reliability of distribution system. We expect that we can effectively reduce faults resulted from medium voltage customers, which is 30% of total faults.

Original languageEnglish
Pages (from-to)1869-1880
Number of pages12
JournalTransactions of the Korean Institute of Electrical Engineers
Volume58
Issue number10
StatePublished - Oct 2009

Keywords

  • Customer Fault
  • Data Mining
  • Decision Tree
  • Distribution Fault
  • Fault Prediction Model
  • Neural Network
  • Regression
  • Reliability

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