Детайли за публикацията
(Publication details)

Autors: Todorov, D. T.
Title: Fault section estimation in electric power plants and electrical substations using fault trees and neural networks with radial basis function
Keywords: fault section estimation; reliability; fault trees; minimal path set; minimal cut set; set theory; back propagation; neural network with radial basis function

Abstract: In the work reliability modeling with fault trees is implemented in fault section estimation. Finding faulted sections and faulted elements are defined as mathematical abstractions from set theory point of view. Minimal path sets and minimal cut sets are used as patterns in learning process of neural network with back propagation of error (BPNN) and neural network with radial basis function (RBNN).

References

  1. Fukui, C., Kawakami, J., 1986, Expert system for fault section estimation using information from protective relays and circuit breakers, IEEE Transactions on Power Delivery, Volume Vols. PWRD-1, no. 4, pp. 83-90
  2. Chan, E.H.P., 1989, Application of neural-network computing in intelligent alarm processing (power systems), Power Industry Computer Application Conference, PICA '89, Seattle, USA, 1-5 May 1989, <Seattle>, IEEE
  3. Yang, H., Chang, W., Huang, C., 1994, New Neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers, IEEE Transactions on Power Delivery, Volume vol. 9, no. 1,, pp. 220-230
  4. Yang, H., Chang, W., Huang, C., 1995, Power system distributed on-line fault section estimation using decision tree based neural nets approach, IEEE Transactions on Power Delivery, Volume vol. 10, no. 1, pp. 540-546
  5. Bi, T., Ni, Y. X., Chen, C. M.,Wu, F. F., Yang, Q. X., 2001, A novel radial basis function neural network for fault section estimation in transmission network, 5th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, China, 30 Oct.-1 Nov. 2000, <Hong Kong>, IET
  6. Sissoko, S.B., Abdalla, A. N., Zhang, J., Cheng, S. J., 2007, Graph partitioning applied to fault location in power transmission lines, Journal of Applied Sciences, Volume vol. 7, no. 16, pp. 2327-2332
  7. Kezunovic, M., 2007, Use of intelligent techniques for analysis of faults and protective relay operations, in Conference of 2007 IEEE Power Engineering Society General Meeting, Tampa, USA, 24 - 28 Jun 2007, <Tampa>, IEEE
  8. Meng, J. Gao, W., Pang, P., Min, W., 2008, Fault diagnosis of distribution system based on distributed chaotic fuzzy RBF neural networks, 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008, Harbin, China, 15-17 August 2008, <Harbin>, IEEE
  9. Endrenyi, J., 1979, Reliability modeling in electric power systems, New York, Wiley
  10. Limnios, N., 2005, Fault trees, France, Hermès Science/Lavoisier
  11. Малчев, К., 2008, Надеждност в електроенергетиката, София, ТУ-София
  12. Пеева, К., 2010, Линейна алгебра, София, ТУ-София
  13. Zhang, N., Kezunovic, M., 2004, Verifying the Protection System Operation Using an Advanced Fault Analysis Tool Combined with the Event Tree Analysis, 36th Annual North American Power Symposium (NAPS 2004), University of Idaho, Moscow, Idaho, Moscow, Idaho, USA, 9-10 August 2004, <Moscow, Idaho, USA>, University of Idaho

Issue
International scientific symposium Electrical Power Engineering Varna 2016, pp. 22-25, 2016, Bulgaria, TU-Varna, ISBN 978-954-20-0762-3

Copyright ТУ-Варна

Full text of the publication

Вид: публикация в национален форум с межд. уч.

Въведена от: ас. Десислав Тодоров Тодоров