Power quality disturbances recognition based on a multiresolution generalized S-transform and a PSO-improved decision tree

Energies

Volumn 8, Issue 1, 2015, Pages 549-572

  Huang, Nantian ^a   Zhang, Shuxin ^a   Cai, Guowei ^a   Xu, Dianguo ^b  

^a NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Decision tree; Multiresolution; Particle swarm optimization; Power quality disturbances; S transform

Indexed keywords

DECISION TREES; FREQUENCY DOMAIN ANALYSIS; PARTICLE SWARM OPTIMIZATION (PSO); POWER QUALITY;

DISTRIBUTED GENERATORS; GENERALIZED S TRANSFORM; MULTI RESOLUTIONS; POWER QUALITY DISTURBANCES; RULE-BASED DECISION TREES; S TRANSFORMS; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY RESOLUTION;

MATHEMATICAL TRANSFORMATIONS;

EID: 84921752813     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en8010549     Document Type: Article

References (28)

1. Wasiak, I.; Pawelek, R.; Mienski, R. Energy storage application in low-voltage microgrids for energy management and power quality improvement. IET Gener. Transm. Distrib. 2014, 8, 463-472.
2. Prodanovic, M.; Green, T.C. High-quality power generation through distributed control of a power park microgrid. IEEE Trans. Ind. Electron. 2006, 53, 1471-1482.
3. Baggini, A. Handbook of Power Quality; Wiley Blackwell: New York, NY, USA, 2008.
4. Saini, M.K.; Kapoor, R. Classification of power quality events-A review. Int. J. Electr. Power Energy Syst. 2012, 43, 11-19.
5. Granados-Lieberman, D.; Romero-Troncoso, R.J.; Osornio-Rios, R.A.; Garcia-Perez, A.; Cabal-Yepez, E. Techniques and methodologies for power quality analysis and disturbances classification in power systems: A review. IET Gener. Transm. Distrib. 2011, 5, 519-529.
6. Salles, D.; Wilsun, X. Information extraction from PQ disturbances-An emerging direction of power quality research. In Proceedings of the 2012 IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP), Hong Kong, China, 17-20 June 2012; pp. 649-655.
7. Farzanehrafat, A.; Watson, N.R. Power Quality State Estimator for Smart Distribution Grids. IEEE Trans. Power Syst. 2013, 28, 2183-2191.
8. Gu, Y.H.; Bollen, M.H.J. Time-frequency and time-scale domain analysis of voltage disturbances. IEEE Trans. Power Deliv. 2000, 15, 1279-1284.
9. Rodríguez, A.; Aguado, J.A.; Martín, F.; López, J.J.; Muñoz, F.; Ruiz, J.E. Rule-based classification of power quality disturbances using S-transform. Electr. Power Syst. Res. 2012, 86, 113-121.
10. Xu, F.; Yang, H.; Ye, M.; Liu, Y.; Hui, J. Classification for power quality short duration disturbances based on generalized S-transform. Proc. Chin. Soc. Electr. Eng. 2012, 4, 77-84.
11. Biswal, B.; Biswal, M.; Mishra, S.; Jalaja, R. Automatic classification of power quality events using balanced neural tree. IEEE Trans. Ind. Electron. 2014, 61, 521-530.
12. Janik, P.; Lobos, T. Automated classification of power-quality disturbances using SVM and RBF networks. IEEE Trans. Power Deliv. 2006, 21, 1663-1669.
13. Panigrahi, B.; Pandi, V.R. Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm. IET Gener. Transm. Distrib. 2009, 3, 296-306.
14. Fengzhan, Z.; Rengang, Y. Power-quality disturbance recognition using S-transform. IEEE Trans. Power Deliv. 2007, 22, 944-950.
15. Kennedy, J.; Eberhart, R. Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia, 27 November-1 December 1995; Volume 1944, pp. 1942-1948.
16. Eberhart, R.; Kennedy, J. A new optimizer using particle swarm theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science (MHS '95), Nagoya, Japan, 4-6 October 1995; pp. 39-43.
17. Stockwell, R.G.; Mansinha, L.; Lowe, R.P. Localization of the complex spectrum: The S transform. IEEE Trans. Signal Process. 1996, 44, 998-1001.
18. Pinnegar, C.R.; Mansinha, L. The S-transform with windows of arbitrary and varying shape. Geophysics 2003, 68, 381-385.
19. Uyar, M.; Yildirim, S.; Gencoglu, M.T. An expert system based on S-transform and neural network for automatic classification of power quality disturbances. Expert Syst. Appl. 2009, 36, 5962-5975.
20. Nguyen, T.; Liao, Y. Power quality disturbance classification utilizing S-transform and binary feature matrix method. Electr. Power Syst. Res. 2009, 79, 569-575.
21. Nguyen, T.; Liao, Y. Power quality disturbance classification based on adaptive neuro-fuzzy system. Int. J. Emerg. Electr. Power Syst. 2009, 10, doi:10.2202/1553-779X.2110.
22. Hooshmand, R.; Enshaee, A. Detection and classification of single and combined power quality disturbances using fuzzy systems oriented by particle swarm optimization algorithm. Electr. Power Syst. Res. 2010, 80, 1552-1561.
23. Huang, N.; Xu, D.; Liu, X.; Lin, L. Power quality disturbances classification based on S-transform and probabilistic neural network. Neurocomputing 2012, 98, 12-23.
24. Chen, D.; Zhao, C. Particle swarm optimization with adaptive population size and its application. Appl. Soft Comput. 2009, 9, 39-48.
25. Yuhui, S.; Eberhart, R.C. Fuzzy adaptive particle swarm optimization. In Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, Korea, 27-30 May 2001; Volume 101, pp. 101-106.
26. Kennedy, J.; Mendes, R. Neighborhood topologies in fully informed and best-of-neighborhood particle swarms. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 2006, 36, 515-519.
27. Ratnaweera, A.; Halgamuge, S.; Watson, H.C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. Evol. Comput. 2004, 8, 240-255.
28. Wenzhong, G.; Guolong, C.; Xiang, F. A new strategy of acceleration coefficients for particle swarm optimization. In Proceedings of the 10th International Conference on Computer Supported Cooperative Work in Design (CSCWD '06), Nanjing, China, 3-5 May 2006; pp. 1-5.