New approach to improve high-voltage transmission line reliability

IEEE Transactions on Power Delivery

Volumn 24, Issue 3, 2009, Pages 1515-1520

  Adami, Jose Feliciano ^a   Silveira, P M ^a   Martinez, M L B ^a   Perez, Ricardo C ^a   Dallbello, Antonio C ^b  

^a FEDERAL UNIVERSITY OF ITAJUBÁ   (Brazil)

^b Centrais Elétricas Brasileiras S A ELETROBRAS   (Brazil)

Author keywords

Digital filters; Fault identification; Insulators; Neural network; Signal processing; Tranmission Lines

Indexed keywords

DATA ACQUISITION SYSTEM; ELECTRIC POWER UTILITIES; FAULT DETECTION AND IDENTIFICATION; FAULT IDENTIFICATION; HIGH FREQUENCY SIGNALS; HIGH VOLTAGE TRANSMISSION LINES; INSULATORS; NEW APPROACHES; OPERATIONAL COSTS; PATTERN DEFINITION; POTENTIAL TRANSMISSIONS; POWER LINE CARRIER; POWER UTILITY; SIGNAL PROCESSING TECHNIQUE; SIMULATING TEST; TECHNICAL POTENTIAL; TRANMISSION LINES; TRANSMISSION LINE;

BANDPASS FILTERS; ELECTRIC FAULT LOCATION; ELECTRIC LINES; ELECTRIC POTENTIAL; FAULT DETECTION; NEURAL NETWORKS; SIGNAL PROCESSING; TERMINALS (ELECTRIC); TRANSMISSION LINE THEORY;

DIGITAL FILTERS;

EID: 67650665530     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2009.2013669     Document Type: Article

References (16)

1. OFIL Develops and Manufactures Solar Blind, UV Bi Spectral Imaging Systems,, May 2003 Online. Available: http://www.ofil.co.il
2. P. G. Lang, D. M. Allan, and Y. Zhou, "The investigation of insulation defects in transmission line disc insulators using remote detection techniques," in Proc. 4th Int. Conf. Properties and Application of Dielectric Materials, Brisbane, Australia, Jul. 1994, vol. 2, pp. 868-871, IEEE.
3. S. Berlaserkaram and H. J. Li, "Detection of insulators on power transmission line," in Proc. Power Engineering Society Winter Meeting, 2000, vol. 4, pp. 2817-2821, IEEE.
4. C. R. Li, Q. Shi, Y. C. Cheng, C. Yu, and Y. Yichao, "Identification of faulty insulators by using discharge analysis based on artificial neural network," in Conf. Rec. 1998 IEEE Int. Symp. Electrical Insulation Arlington, VA, Jun. 7-10, vol. 2, pp. 382-385.
5. Y. Cheng, C. Li, and L. Bin, "The sensitivity of electric field method on detecting faulty porcelain insulators," in Proc. IEEE 8th Int. Conf. on Properties and Applications of Dielectric Materials, 2006, pp. 615-618.
6. T. Kikuchi, H. Nakauchi, R. Matsuoka, and M. Akizuki, "Remote sensing system for faulty suspension insulator units," in Proc. 5th Int. Conf. Properties and Applications of Dielectric Materials, Seoul, Korea, May 25-30, 1997, vol. 2, pp. 766-768.
7. [Online]. Available: http://www.altatensao2001.hpg.ig.com.br/ corona.htmJul. 2007
8. R. C. Cheek, Electrical Transmission and Distribution 1964, pp. 401-432, Power Line Carrier- Application - Reference Book Westinghouse Corporation.
9. F. J. Liptrot, Ed., High Voltage Engineering and Testing. New York: Peter Peregrinus, 1998, pp. 68-111.
10. M. P. Sanders and R. E. Ray, Power Line Carrier Cannel & Application Considerations for Transmission Line Relaying [Online]. Available: http:/ /www.pulsartech.com/pulsartech/docs/C045-0597.pdf
11. S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 2001.
12. P. M. da Silveira, R. Seara, and H. H. Zürn, "Fault type identification using wavelet transform," in Proc. Int. Conf. Intelligent System Application to Power Systems - ISAP'99, Rio de Janeiro, Brazil, Apr. 99, pp. 267-272.
13. S. Haykin and B. Van Veen, Eds., Signals and Systems. New York: Wiley, 1999, pp. 23-162.
14. M. Oleskovicz, D. V. Coury, and R. K. Aggarwal, "Um esquema completo para detecção, classificação e localização de faltas em linhas utilizando redes neurais," in Proc. XVI SNPTEE, Parana, Brazil, 2001.
15. [Online]. Available: www.din.uem.br/ia/neurais accessed 07/2007
16. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1999, pp. 143-281.