| Title |
An Adaptive Reclosing Scheme Based on the Classification of Fault Patterns in Power distribution System |
| Authors |
오정환(Oh, Jung-Hwan) ; 김재철(Kim, Jae-Chul) ; 윤상윤(Yun, Sang-Yun) |
| Keywords |
Adaptive reclosing Scheme ; Temporary/Permanent Fault ; Power Distribution System ; THD ; RMS ; Mountain Clustering Method ; Minimum-Distance Classifier |
| Abstract |
This paper proposes an adaptive reclosing scheme which is based on the classification of fault patterns. In case that the first reclosing is unsuccessful in distribution system employing with two-shot reclosing scheme, the proposed method can determine whether the second reclosing will be attempted of not. If the first reclosing is unsuccessful two fault currents can be measured before the second reclosing is attempted, where these two fault currents are utilized for an adaptive reclosing scheme. Total harmonic distortion and RMS are used for extracting the characteristics of two fault currents. And the pattern of two fault currents is respectively classified using a mountain clustering method a minimum-distance classifier. Mountain clustering method searches the cluster centers using the acquired past data. And minimum-distance classifier is used for classifying the measured two currents into one of the searched centers respectively. If two currents have the different pattern it is interpreted as temporary fault. But in case of the same pattern, the occurred fault is interpreted as permanent. The proposed method was tested for the fault data which had been measured in KEPCO's distribution system, and the test results can demonstrate the effectiveness of the adaptive reclosing scheme. |