Robust fault diagnosis in power distribution systems based on fuzzy artmap neural network-aided evidence theory

IET Generation, Transmission and Distribution

Volumn 6, Issue 11, 2012, Pages 1112-1120

  Decanini, J G M S ^a   Tonelli Neto, M S ^b   Minussi, C R ^b  

^a Campus Presidente Epitácio   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BRAZILIAN ELECTRIC UTILITIES; DEMPSTER-SHAFER THEORY; DISTRIBUTION FEEDERS; DISTRIBUTION SYSTEMS; FUZZY-ARTMAP NEURAL NETWORK; POWER DISTRIBUTION SYSTEM; QUANTITATIVE INFORMATION; ROBUST FAULT DIAGNOSIS;

DISCRETE WAVELET TRANSFORMS; ELECTRIC LOAD DISTRIBUTION; ELECTRIC UTILITIES; NEURAL NETWORKS; SIGNAL ANALYSIS;

FAULT DETECTION;

EID: 84880025680     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd.2012.0028     Document Type: Article

References (38)

1. Zhu, J., Lubkeman, D.L., Girgis, A.A.: 'Automated fault location and diagnosis on electric power distribution feeders', IEEE Trans. Power Deliv., 1997, 12, (2), pp. 801-809
2. Kezunovic, M.: 'Smart fault location for smart grids', IEEE Trans. Smart Grid, 2011, 2, (1), pp. 11-22
3. EPRI: 'Distribution fault anticipator' (Electric Power Research Institute, 2009)
4. Fan, J., Borlase, S.: 'The evolution of distribution', IEEE Power Energy Mag., 2009, 7, (2), pp. 63-68
5. Haykin, S.: 'Neural networks and learning machines' (Prentice-Hall, 2008, 3rd edn.)
6. Kartalopoulos, S.V.: 'Understanding neural networks and fuzzy logic: basic concepts and applications' (IEEE Press, 1996, 1st edn.)
7. Kezunovic, M.: 'Intelligent applications in substations: disturbance analysis'. Proc. IEEE Power Engineering Society General Meeting, New York, U.S.A., June 2004, pp. 719-723
8. Zhang, N., Kezunovic, M.: 'Implementing an advanced simulation tool for comprehensive fault analysis'. Proc. IEEE PES Transmission and Distribution Conf. and Exposition, Dalian, China, August 2005, pp. 1-6
9. Kezunovic, M., Abur, A.: 'Merging the temporal and spatial aspects of data and information for improved power system monitoring applications'. Proc. IEEE, New York, U.S.A., November 2005, pp. 1909-1119
10. McDonald, J.D.: 'Electric power substations engineering' (CRC Press, 2003, 2nd edn.)
11. Northcote-Green, J., Wilson, R.: 'Control and automation of electrical power distribution systems' (Taylor & Francis, 2007, 1st edn.)
12. Chen, W.-H., Liu, C.-W., Tsai, M.-S.: 'On-line fault diagnosis of distribution substations using hybrid cause-effect network and fuzzy rule-based method', IEEE Trans. Power Deliv., 2000, 15, (2), pp. 710-717
13. El-Zonkoly, A.M.: 'Fault diagnosis in distribution networks with distributed generation', Electr. Power Syst. Res., 2011, 81, (7), pp. 1482-1490
14. Teng, J.-H.: 'Systematic short-circuit-analysis method for unbalanced distribution systems', IEE Proc. Gener. Transm. Distrib., 2005, 152, (4), pp. 549-555
15. Salim, R.H., Oliveira, K.R.C., Filomena, A.D., Resener, M., Bretas, A.S.: 'Hybrid fault diagnosis scheme implementation for power distribution systems automation', IEEE Trans. Power Deliv., 2008, 23, (4), pp. 1846-1856
16. Das, B.: 'Fuzzy logic-based fault-type identification in unbalanced radial power distribution system', IEEE Trans. Power Deliv., 2006, 21, (1), pp. 278-285
17. Carpenter, G.A., Grossberg, S., Rosen, D.B.: 'Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance theory', Neural Netw., 1991, 4, (6), pp. 759-771
18. Carpenter, G.A., Grossberg, S.: 'A self-organizing neural network for supervised learning, recognition and prediction', IEEE Commun. Mag., 1992, 30, (9), pp. 38-49
19. Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B.: 'Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps', IEEE Trans. Neural Netw., 1992, 3, (5), pp. 698-713
20. Marchiori, S.C., Silveira, M.C.G., Lotufo, A.D.P., Minussi, C.R., Lopes, M.L.M.: 'Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems', Appl. Soft Comput., 2011, 11, (1), pp. 706-715
21. Daubechies, I.: 'Ten lectures on wavelets' (Society for Industrial and Applied Mathematics, 1992, 1st edn.)
22. Silva, M., Coury, D.V., Oleskovicz, M., Segatto, E.C.: 'Combined solution for fault location in three-terminal lines based on wavelet transforms', IET Gener. Transm. Distrib., 2010, 4, (1), pp. 94-103
23. Masoum, M.A.S., Jamali, S., Ghaffarzadeh, N.: 'Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks', IET Gener. Transm. Distrib., 2010, 4, (4), pp. 193-205
24. Eristi, H., Uçar, A., Demir, Y.: 'Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines', Electr. Power Syst. Res., 2010, 80, (7), pp. 743-752
25. Mallat, S.: 'A wavelet tour of signal processing: the sparse way' (Academic Press, 2009, 3rd edn.)
26. Oppenheim, A.V., Schafer, R.W.: 'Digital signal processing' (Prentice-Hall, 1975, US edn.)
27. Mahanty, R.N., Dutta Gupta, P.B.: 'A fuzzy logic based fault classification approach using current samples only', Electr. Power Syst. Res., 2007, 77, (5-6), pp. 501-507
28. Georgiopoulos, M., Fernlund, H., Bebis, G., Heilman, G.L.: 'Order of search in fuzzy ART and fuzzy ARTMAP: effect of the choice parameter', Neural Netw., 1996, 9, (9), pp. 1541-1559
29. Granger, E., Blaquiére, Y., Savaria, Y., Cantin, M.-A., Lavoie, P.: 'A VLSI architecture for fast clustering with fuzzy ART neural networks', Int. J. Microelectron. Syst. Integr., 1997, 5, (1), pp. 3-18
30. Grossberg, S.: 'Adaptive pattern classification and universal recoding, II: feedback, expectation, olfaction and illusions', Biol. Cybern., 1976, 23, (4), pp. 197-202
31. Lopes, M.L.M., Minussi, C.R., Lotufo, A.D.P.: 'Electric load forecasting using a fuzzy ART&ARTMAP neural network', Appl. Soft Comput., 2005, 5, (2), pp. 235-244
32. Zadeh, L.A.: 'Fuzzy sets', Inf. Control, 1965, 8, (3), pp. 338-353
33. Decanini, J.G.M.S., Tonelli-Neto, M.S., Malange, F.C.V., Minussi, C.R.: 'Detection and classification of voltage disturbances using a fuzzy-ARTMAP-wavelet network', Electr. Power Syst. Res., 2011, 81, (12), pp. 2057-2065
34. Barnett, J.A.: 'Computational methods for a mathematical theory of evidence', in: Yager, R., Liu, L., (Eds.): Studies in fuzzyness and soft computing: 'Classic works of the Dempster-Shafer theory of belief functions' (Springer, 2007, 1st edn.), pp. 197-216
35. Santoso, S., Powers, E.J., Grady, W.M., Parsons, A.C.: 'Power quality disturbance waveform recognition using wavelet-based neural classifier-part 1: theoretical foundation', IEEE Trans. Power Deliv., 2000, 15, (1), pp. 222-228
36. Santoso, S., Powers, E.J., Grady, W.M., Parsons, A.C.: 'Power quality disturbance waveform recognition using wavelet-based neural classifier-part 2: application', IEEE Trans. Power Deliv., 2000, 15, (1), pp. 229-235
37. LaPSEE: 'Practical 134 bus feeder data', Electrical Power System Planning Laboratory, 2011. Available at: http://www.dee.feis.unesp.br/lapsee/arquivos/down_sistemastestes/135_bus_feeder.pdf
38. Alternative Transients Program (ATP): 'Rulebook' (EMTP-ATP Users Group, SINTEF Energy Research, 2007)