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A Study on Detection Method of Specific Waveform in Distribution Line

배전선로의 특이파형 검출 방법에 관한 연구

  • Lee, Jin (Department of Electrical Engineering, Mokpo National University) ;
  • Park, Chan (Department of Electrical Engineering, Mokpo National University)
  • 이진 (목포대학교 전기공학과) ;
  • 박찬 (목포대학교 전기공학과)
  • Received : 2018.12.15
  • Accepted : 2019.01.17
  • Published : 2019.03.01

Abstract

The aim of this investigation is to detect specific waveforms in a distribution line prior to the occurrence of a fault. Conditions were introduced such that a feeder remote terminal unit (FRTU) of the distribution automation system selects and stores fault waveforms from the different waveforms detected in the distribution line. In addition, an algorithm was developed to detect specific waveforms from the fault waveforms stored using the FRTU. This algorithm exploits the duration and periodicity of harmonic changes in voltage and current. The efficacy of the algorithm was confirmed based on the measurements of fault waveforms in an actual distribution line. The results indicated that faults in a distribution line can be predicted via experimental measurements.

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Fig. 1. Normal waveform.

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Fig. 2. Fault waveform.

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Fig. 3. Waveform storage period before and after fault.

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Fig. 4. Waveform storage period before and after impulse.

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Fig. 5. Voltage and current changes monitoring.

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Fig. 6. Current instantaneous variation monitoring.

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Fig. 7. Harmonic changes monitoring.

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Fig. 8. Fault waveform of LP insulator and arrester.

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Fig. 9. Current waveform changes before cable fault.

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Fig. 10. Current instantaneous variations before cable fault.

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Fig. 11. Waveform before transformer fault.

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Fig. 12. Harmonic content rate of fault waveform.

Table 1. Fault cases in distribution line.

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Table 2. Specific waveform classification.

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Table 3. Detect result of fault and specific waveform.

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References

  1. Y. S. Ko, T. K. Kang, H. Y. Park, H. Y. Kim, and H. S. Nam, IEEE Trans. Power Del., 25, 1001 (2010). [DOI: https://doi.org/10.1109/tpwrd.2009.2032051] https://doi.org/10.1109/tpwrd.2009.2032051
  2. J. S. Seo, H. S. Kim, S. I. Lim, M. S. Choi, and S. J. Lee, Trans. Korean. Inst. Elect. Eng., 63, 1354 (2014). [DOI: https://doi.org/10.5370/kiee.2014.63.10.1354] https://doi.org/10.5370/KIEE.2014.63.10.1354
  3. B. Gou, C. Luo, and F. Ponci, IEEE Trans. Power Syst., 21, 1874 (2006). [DOI: https://doi.org/10.1109/tpwrs.2006.882459] https://doi.org/10.1109/TPWRS.2006.882459
  4. J. Liang, Z. Yun, F. Liu, and Y. Liu, Proc. International Conference on Power System Technology (IEEE, Kunming, China, 2002) p. 2635.
  5. P. Mao, J. Wei, and B. Chen, Proc. 2006 China International Conference on Electricity Distribution (CICED 2006) (IET Conference Publications, Beijing, China, 2006) p. 335-339.
  6. L. Li, Adv. Mat. Res., 614, 1833 (2013). [DOI: https://doi.org/10.4028/www.scientific.net/amr.614-615.1833] https://doi.org/10.4028/www.scientific.net/amr.614-615.1833
  7. Y. S. Ko, J. Electr. Eng. Technol., 3, 192 (2008). [DOI: https://doi.org/10.5370/JEET.2008.3.2.192] https://doi.org/10.5370/JEET.2008.3.2.192