Klasyfikacja rodzaju zwarcia w liniach energetycznych dla potrzeb zabezpieczeniowych i lokalizacji miejsca zwarcia

• Autorzy: Iżykowski, J. , Rebizant, W. , Rosołowski, E.

Warianty tytułu

EN

Classification of transmission line faults for protective relaying and fault location purposes

• Języki publikacji: PL

Słowa kluczowe

PL

zwarcie; linia energetyczna

EN

fault; transmission line

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2000
• Tom: nr 1
• Strony: 6-11
• Opis fizyczny: Bibliogr., 18 poz., rys., tab.

Twórcy

autor

Iżykowski, J.

• Politechnika Wrocławska Instytut Energoelektryki

autor

Rebizant, W.

autor

Rosołowski, E.

Bibliografia

• [1] Iżykowski J., Rebizant W. Szafran J.: Cyfrowe algorytmy detekcj i zwarcia w liniach energetycznych. Przegląd Elektrotechniczny. 1999 nr 12.
• [2] Breingan W. D., Chen M. M., Gallen T. F.: Laboratory investigation for a digital system for the protection of transmission lines. IEEE Trans. on Power Apparatus and Systems Vol. PAS-98: 1979 No. 2 pp. 350-368.
• [3] Elkateb M. M., Cheelam W. J.: A new approach to high speed selection. 2nd DPSP Conf., London 1980, Proc. pp. 171-176.
• [4] Girgis A. A .: Anew Kalman filtering based digital distance relay. IEEE Trans, an Power Apparatus and Systems Vol. PAS-101: 1992 No. 9 pp. 3471-3480.
• [5] Ferrero A., Sangiovanni S., Zappitelli E.: A new algorithm for digital relaying with symmetrical components. Int. Conf. on Intelligent Instrumentation for remote and on-site neasurements. Bnise Is 1993 Proc. pp. 342-345
• [6] Sultann A. F., Swift G W., Fedirchuk D. J.: Detection of high impedance arcing faults using a multilayer perception. IEEE Trans an Power Delivery Vol. 7: 1992 No. 4. pp. 1871-1877.
• [7] Fitton D. S., Dunn R. W., Aggarval R. K., Johns A. T., Song Y. H.: The application of neural network techniques to adaptive autoreclosuiv in protection equipment. 5th DPSPConf. York 1993. Proc. pp. 161-164.
• [8] Daistein T., Kulicke B., Neural-network approach to fault classification for high speed protective relaying. IEEE Trans. on Power Deliver Vol. 10: 1995 No 2 April, pp. 1002-1011
• [9] Rosołowski E., Lukowicz M.: Fault type classification in high voltage power systems using artificial neural networks. 2nd Conf. on Neural Networks and their Applications. Szczyrk 1996, Proc. pp. 401-406.
• [10] Crossley P. A., McLaren P. G.: Distance protection based on travelling waves. IEEE Trans, on Power Apparatus and Systems Vol. PAS-102 1983 pp. 2971-2983.
• [11] Chowdhury F. N.. Christensen J. P.. Aravena J. L.: Power system fault detection and state estimation using Kalman filter with hypothesis testing IEEE Trans, on Power Delivery Vol. 6: 1991. No. 2. July, pp. 1025-1030.
• [12] Girgis A. A., Brown R. G.: Adaptive Kalman filtering in computet relaying: fault classification using voltage models. IEEE Trans. an Power Apparatus and Systems Vol. PAS-104: 1985 No. 5 May, pp. 3168-1177.
• [13] Sakaguchi T.: A statistical decision theoretic approach to digital relaying. IEEE Trans, on Power Apparatus and Systems Vol. PAS-99: 1980. No. 5. pp. 1918-1926.
• [14] Baum C .W., Vceravalli V. V. : A sequential procedure for mu llihypolhe- sis testing. IEEE Trans. on Information Theory Vol. 40: 1994 No. 6. November pp. 1994-2007.
• [15] Rebizant W.. Szafran J. : Fault recognition and identification with probabilistic methods., VIII Konferencja APE. Gdaiisk-Jurata 1997. tom III s. 45-52.
• [16] EMTP Rule Book, Leuven Center, 1991
• [17] Wiszniewski A.: Algorytmy pomiarów cyfrowych w automatyce elektroenergetycznej, Warszawa 1990 WNT.
• [18] Dillon T. S., Niebur D. (ed.): Neural networks applications in power systems., CRL International Series in Intelligent Systems and their Applications, CRL Publishing. London 1996.