A flexible approach for overcurrent relay characteristics simulation

Electric Power Systems Research

Volumn 66, Issue 3, 2003, Pages 233-239

  Karegar, Hossein Kazemi ^a   Abyaneh, Hossein Askarian ^a,b   Al Dabbagh, Majid ^a  

^a MONASH UNIVERSITY   (Australia)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Overcurrent relay; Relay coordination; Relay modelling

Indexed keywords

ELECTRIC CURRENTS; ELECTRIC RELAYS; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; MULTILAYER NEURAL NETWORKS; OVERCURRENT PROTECTION;

RELAY COORDINATION;

ELECTRIC POWER SYSTEMS;

EID: 0037773615     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7796(03)00095-6     Document Type: Article

References (12)

1. T.S. Sidhu, M. Hfuda, M.S. Sachdev, A technique for generating computer models of microprocessor-based relays, Proceedings of IEEE Communications, Power and Computing, WESCANEX'97, 1997, pp. 191-196.
2. 2 P.G., McLaren K., Mustaohi G., Benmouyal S.C.hano, Giris A., Henville C., Kezunovic M., Kojovic L., Marttila R., Meisinger M., Michel G., Sachdev M.S., Skendzic V., Sidue T.S., Tziouvaras D. Software models for relays. IEEE Trans. Power Deliv. 16:2001;238-245.
3. M.S. Sachdev, T.S. Sidhu, Modelling relays for use in power system protection studies, Proceedings of IEE Development in Power System Protection, 2001, pp. 523-526.
4. IEEE Committee Report, Computer representation of overcurrent relay characteristics, IEEE Trans. Power Deliv. 4 (1989) 1659-1667.
5. IEEE Standard inverse-time characteristic equations for overcurrent relays, IEEE Std C37.112-1996.
6. H. Askarian, K. Faez, H. Kazemi, A new method for overcurrent relay (OC) using neural network and fuzzy logic, Proceedings of IEEE Speech and Image Technologies for Telecommunications, TENCON'97, 1997, pp. 407-410.
7. Nguyen H.T., Walker E.A. A First Course in Fuzzy Logic. 2000;193-194 Chapman and Hall/CRC, New York.
8. Medsker L., Liebowitz J. Design and Development of Expert system and Neural Networks. 1994;196-203 Macmillan, New York.
9. Fausett L. Fundamentals of Neural Networks, Architectures, Algorithms and Applications. 1994;86-87 Prentice-Hall, New Jersey.
10. Haykin S.S. Neural Networks (A Comprehensive Foundation). 1994;176-181 Macmillan, New York.
11. Coleman T.F., Li Y. An interior, trust region approach for non-linear minimisation subject to bounds. SIAM J. Optim. 6:1996;418-445.
12. Coleman T.F., Li Y. On the convergence of reflective Newton methods for large-scale nonlinear minimisation subject to bounds. Math. Prog. 67:1994;189-224.