The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A study on Reliability Enhancement Method and the Prediction Model Construction of Medium-Voltage Customers Causing Distribution Line Fault Using Data Mining Techniques

데이터 마이닝 기법을 이용한 특별고압 파급고장 발생가능 고객 예측모델 구축 및 신뢰도 향상방안에 관한 연구

  • 배성환 (국립서울산업대학교 IT정책전문대학원 산업정보시스템, 한국전력공사 기술기획처) ;
  • 김자희 (국립서울산업대학교 IT정책전문대학원) ;
  • 홍정식 (국립서울산업대학교 산업정보시스템공학과) ;
  • 임한승 (한국전력공사)
  • Published : 2009.10.01
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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.

Keywords

References

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