Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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Faulted Section Identification Method in Case of Single Line to Ground Fault

배전자동화시스템에서 1선 지락 고장 시 고장구간 판단방법

  • 김병구 (경남대학교 전기공학과) ;
  • 김영국 (경남대학교 전기공학과)
  • Received : 2011.11.29
  • Accepted : 2012.04.26
  • Published : 2012.05.31
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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.

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References

  1. 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.
  2. 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.
  3. 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.
  4. 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. https://doi.org/10.1109/61.400828
  5. 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. https://doi.org/10.1109/TPWRS.2002.804947
  6. 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. https://doi.org/10.1109/TPWRS.2003.811003
  7. 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. https://doi.org/10.1109/TPWRS.2004.841234
  8. 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.