위상면궤적을 이용한 전력계통의 고장판별에 관한 연구

A Study on the Classification of Arcing Faults in Power Systems using Phase Plane Trajectory Method

  • 박남옥 (한국전기연구원 전기시험연구소 검수시험실장) ;
  • 신영철 (성균관대 정보통신공학부) ;
  • 안상필 (한국전기연구원 전기시험연구소) ;
  • 여상민 (성균관대 정보통신공학부) ;
  • 김철환 (성균관대 정보통신공학부, 명지대 차세대전력기술연구센터)
  • 발행 : 2002.05.01

초록

Recently, there is greater demand for stable supply of electric power as higher level of our living. It becomes the important problem that the cause of fault in power system is found out in early stage, if once it occurs. In this respect, accurate classification of arcing faults in power systems is vitally important. This paper presents a new classification method for arcing faults in power system. To obtain data of various faults including high impedance fault(HIF) and low impedance fault(LIF), HIF model with the ZnO arrester is adopted and implemented within the overall transmission system model based on the electromagnetic transients program(EMTP). Results of phase plane trajectory if Clarke modal transformation using postfault current and voltage are utilized to classify types of arcing faults. The performance of the proposed method is tested on a typical 154 kV korean transmission system under various fault conditions. As can be seen from results, phase plane trajectory of postfault current should be combined with that of o component from Clarke modal transformation to give reliability of clear fault classification. Thus the proposed method can classify arcing faults including LIFs and HIFs accurately in power systems.

키워드

참고문헌

  1. B.D. Russell, R.P. Cjinchali, 'A Digital Signal Processing Algorithm for Detecting Arcing Faults on Power Distribution Feeders', IEEE Transactions on Power Delivery, vol. 4, no. 1, pp. 132-140, January 1989 https://doi.org/10.1109/61.19199
  2. '配電線地絡事故における波形と原因判別法', 電學論B, no. 115, pp. 18-23 (平7-1)
  3. IEEE Transactions on Power De3 A Digital Signal Processing Algorithm for Detecting Arcing Faults on Power Distribution Feeders R.P. Chinchali
  4. W.H. Kwon, G.W. Lee, Y.M. Park, M.C. Yoon, M.H. Yoo, 'High Impedance Fault Detection utilizing Incremental Variance of Normalized even Harmonic Power,' IEEE Transactions on Power Delivery, vol. 6, no. 2, pp. 557-564, April 1991 https://doi.org/10.1109/61.131112
  5. 田中賢示, '地絡事故發生時の零相電壓, 電流波形による 事故原因判別', 平7電氣學會電力 , ェネルギ一大會, no. 425
  6. M. Aucoin, 'Status of High Impedance Fault Detection,' IEEE Transactions on Power Apparatus and Systems, vol. 104, no. 3, pp. 638-643, March 1985 https://doi.org/10.1109/TPAS.1985.318999
  7. 堀田 剛, 住吉正弘, 若井武夫, 池田長康, 北村岩雄, '位相面軌跡による配電線地絡事故波形分類法', 電學論B, no. 117, pp. 196-202 (平9)
  8. 計測自動制御學會編, '自動制御ハンドプシク 基礎編', オ一ム社
  9. S.M. Shinners, 'Modern Control System Theory and Application', Division of Sperry Rand Corporation;The Cooper Union, 1972
  10. M. Aucion, B.D. Russell, 'Detection of Distribution High Impedance Faults using Burst Noise Signals Near 60㎐', IEEE Transactions on Power Delivery, vol. 2,no. 2, pp. 342-348, April 1987 https://doi.org/10.1109/TPWRD.1987.4308114
  11. M.M. Mansour, G.W. Swift, 'A Multi- Microprocessor Based Travelling Wave Relay- Theory and Realization', IEEE Transactions on Power Delivery, vol. 1, no.1, pp. 272-279, January 1986 https://doi.org/10.1109/TPWRD.1986.4307919
  12. 김현, 김철환, 'Wavelet 변환을 이용한 고저항 지락고장 검출', 대한전기학회논문지, 제 48권, 9호, pp. 1492-1497, 1999. 12