Automatic recognition system of underlying causes of power quality disturbances based on S-Transform and Extreme Learning Machine

International Journal of Electrical Power and Energy Systems

Volumn 61, Issue , 2014, Pages 553-562

  Erişti, Hüseyin ^a   Yildirim, Özal ^a   Erişti, Belkis ^a   Demir, Yakup ^b  

^a TUNCELI UNIVERSITY   (Turkey)

^b FIRAT UNIVERSITY   (Turkey)

Author keywords

Classification; Extreme Learning Machine; Power quality events; S Transform

Indexed keywords

FEATURE EXTRACTION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS;

AUTOMATIC RECOGNITION SYSTEM; CLASSIFICATION PROCEDURE; EXTREME LEARNING MACHINE; MATLAB/SIMULINK ENVIRONMENT; POWER QUALITY DISTURBANCES; POWER QUALITY EVENT; RECOGNITION SYSTEMS; S TRANSFORMS;

CLASSIFICATION (OF INFORMATION);

EID: 84899682106     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2014.04.010     Document Type: Article

References (34)

1. Mason J, Targosz R. European power quality survey report, leonardo energy initiative, November 2008. < http://www.leonardo-energy.org/european-power- quality-survey-report >.
2. C.N. Bhende, S. Mishra, and B.K. Panigrahi Detection and classification of power quality disturbances using S-transform and modular neural network Electric Power Syst Res 78 2008 122 128
3. B. Biswal, H.S. Behera, R. Bisoi, and P.K. Dash Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering Swarm Evol Comput 4 2012 12 24
4. M.A.S. Masoum, S. Jamali, and N. Ghaffarzadeh Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks IET Sci Meas Technol 4 2010 193 205
5. G.S. Hu, F.F. Zhu, and Z. Ren Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines Expert Syst Appl 35 2008 143 149
6. A. Rodriguez, J.A. Aguado, F. Martin, J.J. Lopez, F. Munoz, and J.E. Ruiz Rule-based classification of power quality disturbances using S-transform Electr Power Syst Res 86 2012 113 121
7. A.A. Abdelsalam, A.A. Eldesouky, and A.A. Sallam Classification of power system disturbances using linear Kalman filter and fuzzy-expert system Int J Electr Power Energy Syst 43 2012 688 695
8. M.E. Salem, A. Mohamed, and S.A. Samad Rule based system for power quality disturbance classification incorporating S-transform features Expert Syst Appl 37 2010 3229 3235
9. Y. Liao, and J.B. Lee A fuzzy-expert system for classifying power quality disturbances Electr Power Energy Syst 26 2004 199 205
10. H. Erişti, A. Uçar, and Y. Demir Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines Electr Power Syst Res 80 2010 743 752
11. Z. Moravej, S.A. Banihashemi, and M.H. Velayati Power quality events classification and recognition using a novel support vector algorithm Energy Convers Manage 50 2009 3071 3077
12. O. Ozgonenel, T. Yalcin, I. Guney, and U. Kurt A new classification for power quality events in distribution systems Electr Power Syst Res 95 2013 192 199
13. H. Erişti, and Y. Demir Automatic classification of power quality events and disturbances using wavelet transform an support vector machines IET Gen Transm Distrib 6 2012 968 976
14. E. Styvaktakis, M.H.J. Bollen, and I.Y.H. Gu Expert system for classification and analysis of power system events IEEE Trans Power Deliver 17 2002 423 428
15. S. Santoso, J. Lamoree, W.M. Grady, E.J. Powers, and S.C. Bhatt A scalable PQ event identification system IEEE Trans Power Deliver 15 2000 738 743
16. P.G.V. Axelberg, Y.H.G. Irene, and M.H.J. Bollen Support vector machine for classification of voltage disturbances IEEE Trans Power Deliver 22 2007 1297 1303
17. P.K. Dash, B.K. Panigrahi, and G. Panda Power quality analysis using S-transform IEEE Trans Power Deliver 18 2003 406 411
18. N. Huang, D. Xu, L. Liu, and L. Lin Power quality disturbances classification based on S-transform and probabilistic neural network Neurocomputing 98 2012 12 23
19. T. Nguyen, and Y. Liao Power quality disturbance classification utilizing S-transform and binary feature matrix method Electr Power Syst Res 79 2009 569 575
20. S. Mishra, C.N. Behende, and B.K. Panigrahi Detection and classification of power quality disturbances using S-transform and probabilistic neural network IEEE Trans Power Deliver 23 2008 280 287
21. H. Erişti, Ö. YIldIrIm, B. Erişti, and Y. Demir Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines Int J Electr Power Energy Syst 49 2013 95 103
22. H. Erişti, and Y. Demir The feature selection based power quality event classification using wavelet transform and logistic model tree Przegla̧d Elektrotech 2012 43 48
23. R.G. Stockwell, L. Mansinha, and R.P. Lowe Localization of the complex spectrum: the S-transform IEEE Trans Signal Process 44 1996 998 1001
24. G.B. Huang, Q.Y. Zhu, and C.K. Siew Extreme learning machine: theory and applications Neurocomputing 70 2006 489 501
25. S. Suresh, S. Saraswathi, and N. Sundararajan Performance enhancement of extreme learning machine for multi-category sparse data classification problems Eng Appl Artif Int 23 2010 1149 1157
26. G.B. Huang, and H.A. Babri Upper bounds on the number of hidden neurons in feed forward networks with arbitrary bounded nonlinear activation functions IEEE Trans Neural Networks 9 1998 224 229
27. G.B. Huang Learning capability and storage capacity of two hidden-layer feed forward networks IEEE Trans Neural Networks 14 2003 274 281
28. Rumelhart D, Hinton GE, Williams RJ. Learning internal representations by error propagation. In: parallel distributed processing. vol. 1. The MIT Press; 1996.
29. Mathworks T. The mathworks - matlab and simulink simulation and model-based design, 2014. < http://www.mathworks.com/products/simulink/ >.
30. A.A. Yusuff, C. Fei, A.A. Jimoh, and J.L. Mund Fault location in a series compensated transmission line based on wavelet packet decomposition and support vector regression Electr Power Syst Res 81 2011 1258 1265
31. F. Chunju, K.K. Li, W.L. Chan, Y. Weiyong, and Z. Zhaoning Application of wavelet fuzzy neural network in locating single line to ground fault (SLG) in distribution lines Int J Electr Power Energy Syst 29 2007 497 503
32. T. Demirci, A. Kalaycioglu, D. Küçük, Ö. Salor, M. Güder, and S. Pakhuylu et al. Nationwide real-time monitoring system for electrical quantities and power quality of the electricity transmission system IET Gen Transm Distrib 5 2011 540 550
33. D. Küçük, T. Inan, Ö. Salor, I. ÇadIrcI, and M. Ermiş An extensible database architecture for nationwide power quality monitoring Int J Electr Power Energy Syst 32 2010 559 570
34. H. He, and J.A. Starzyk A self-organizing learning array system for power quality classification based on wavelet transform IEEE Trans Power Deliver 21 2006 286 295