| Title |
A study on Reliability Enhancement Method and the Prediction Model Construction of Medium-Voltage Customers Causing Distribution Line Fault Using Data Mining Techniques |
| Authors |
배성환(Bae, Sung-Hwan) ; 김자희(Kim, Ja-Hee) ; 홍정식(Hong, Jung-Sik) ; 임한승(Lim, Han-Seung) |
| Keywords |
Customer Fault ; Data Mining ; Decision Tree ; Regression ; Neural Network ; Distribution Fault ; Fault Prediction Model ; Reliability |
| 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. |