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http://dx.doi.org/10.5207/JIEIE.2012.26.5.034

Faulted Section Identification Method in Case of Single Line to Ground Fault  

Kim, Byeong-Goo (경남대학교 전기공학과)
Kim, Young-Kook (경남대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.26, no.5, 2012 , pp. 34-39 More about this Journal
Abstract
The DAS(Distribution Atomization System) determines a faulted section by using a FI(Fault Indicator) when the fault is occurred on the distribution networks. Sometimes FI is malfunction when the ground fault is occurred on a the distribution networks. As a result difficulties to make decision of faulted section. The cause of the FI malfunction is that the determination using the limited information of the installed area. In this study, a method is proposed to determine faulted section using the amount of the fault current instead of using the FI. This method is determinated faulted section using the fuzzy inference for the collected information from the all switches. The usefulness of the proposed algorithm is verified through the simulation test using PSCAD/EMTDC.
Keywords
Distribution Automation System; Fault Indicator; YES-NO Method; Fuzzy Logic Method;
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1 W. H. Chen, M. S. Tsai, and H. L. Kuo, "Distribution System Restoration Using the Hybrid Fuzzy-Grey Method," IEEE Trans. on Power System, vol. 20, No. 1, pp. 199-205, Feb 2005.   DOI
2 I. S. Choi, M. S. Choi, S. I. Lim, S. J. Lee, "A New Algorithm for Fault Isolation and Service Restoration in Ungrounded Distributrion Systems," KIEE Trans. A, Vol. 53A, No. 10, 2004.
3 B. N. Ha, Y. H. Han, J. H. Lee, N. H. Cho, S. I. Lim, "A New Fault Detection and Isolation Method in Distribution Automation Systems," KIEE Summer Conference Proceedings, pp. 125-127, 1999.
4 Y. S. Go, D. H. Sin, H. Y. Sin, K. S. Lee, "An Expert System for Fault Isolation in Distribution SCADA," KIEE Trans. A, Vol. 48A, No. 11, pp. 1417-1423, 1999.
5 K. H. Kim, J. B. Lee, Y. H. Jung, "Neuro-Fuzzy based Fault Location Method in Mixed Transmission Line," Kiee Fall Conference Proceedings, pp. 319-322, 2002.
6 Thomas Dalstein, Bernd Kulicke, "Neural Network Approach to Fault Classification for High Speed Protective Relaying," IEEE Trans. on Power Delivery, vol. 10, No. 2, pp. 1002-1011, April 1995.   DOI   ScienceOn
7 C. S. Chen, C. H. Lin, and H. Y. Tsai, "A rule-based expert system with colored Petri net models for distribution system service restoration," IEEE Trans. on Power System, vol. 17, No. 4, pp. 1073-1080, Nov 2002.   DOI   ScienceOn
8 C. M. Huang, "Multi-objective service restoration of distribution systems using fuzzy cause-effect networks," IEEE Trans. on Power System, vol. 18, No. 2, pp. 867-874, May 2003.   DOI   ScienceOn