Abstract
This research paper discover the design of a shunt Passive Power Filter (PPF) in Hybrid Series Active Power Filter (HSAPF) that employs a novel analytic methodology which is superior than FFT analysis. This novel approach consists of the estimation, detection and classification of the signals. The proposed method is applied to estimate, detect and classify the power quality (PQ) disturbance such as harmonics. This proposed work deals with three methods: the harmonic detection through wavelet transform method, the harmonic estimation by Kalman Filter algorithm and harmonic classification by decision tree method. From different type of mother wavelets in wavelet transform method, the db8 is selected as suitable mother wavelet because of its potency on transient response and crouched oscillation at frequency domain. In harmonic compensation process, the detected harmonic is compensated through Hybrid Series Active Power Filter (HSAPF) based on Instantaneous Reactive Power Theory (IRPT). The efficacy of the proposed method is verified in MATLAB/SIMULINK domain and as well as with an experimental set up. The obtained results confirm the superiority of the proposed methodology than FFT analysis. This newly proposed PPF is used to make the conventional HSAPF more robust and stable.
References
1. Wu W, He Y, Tang T, Blaabjerg F. A new design method for the passive damped LCL and LLCL filter-based single-phase grid-tied inverter. Ind Electron IEEE Trans 2013;60:4339–50.10.1109/TIE.2012.2217725Search in Google Scholar
2. Pena-Alzola R, Liserre M, Blaabjerg F, Sebasti´an R, Dannehl J, Wilhelm Fuchs F. Analysis of the passive damping losses in lcl-filter-based grid converters. Power Electron IEEE Trans 2013;28:2642–6.10.1109/TPEL.2012.2222931Search in Google Scholar
3. Mustafa Ertay M, Tosun S, Zengin A. Simulated annealing based passive power filter design for a medium voltage power system. In Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on, pages 1–5. IEEE, 2012.10.1109/INISTA.2012.6247042Search in Google Scholar
4. Aleem SH, Zobaa AF, Aziz MM. Optimal-type passive filter based on minimization of the voltage harmonic distortion for nonlinear loads. Ind Electron IEEE Trans 2012;59:281–9.10.1109/TIE.2011.2141099Search in Google Scholar
5. Angulo M, Ruiz-Caballero DA, Lago J, Heldwein ML, Mussa SA. Active power filter control strategy with implicit closed-loop current control and resonant controller. Ind Electron IEEE Trans 2013;60:2721–30.10.1109/TIE.2012.2196898Search in Google Scholar
6. Ketabi A, Farshadnia M, Malekpour M, Feuillet R. A new control strategy for active power line conditioner (APLC) using adaptive notch filter. Int J Electr Power Energy Syst 2013;47:31–40.10.1016/j.ijepes.2012.10.063Search in Google Scholar
7. Tian J, Chen Q, Xie Bo. Series hybrid active power filter based on controllable harmonic impedance. IET Power Electr 2012;5:142–8.10.1049/iet-pel.2011.0003Search in Google Scholar
8. Cirrincione M, Pucci M, Vitale G, Miraoui A. Current harmonic compensation by a single-phase shunt active power filter controlled by adaptive neural filtering. Ind Electron IEEE Trans 2009;56:3128–43.10.1109/TIE.2009.2022070Search in Google Scholar
9. Jinjun L, Bo L, Zhaoan W. Hybrid type series active power filter used in single-phase circuit based on instantaneous reactive power theory. Proc CSEE 1997;1:010.Search in Google Scholar
10. Swain SD, Ray PK. Harmonic current and voltage compensation using hsapf based on hybrid control approach for synchronous reference frame method. Int J Electr Power Energy Syst 2016;75:83–90.10.1016/j.ijepes.2015.08.023Search in Google Scholar
11. Aredes M, Watanabe EH. New control algorithms for series and shunt three-phase four-wire active power filters. Power Delivery IEEE Trans 1995;10:1649–56.10.1109/61.400952Search in Google Scholar
12. Moran LA, Dixon JW, Wallace RR. A three-phase active power filter operating with fixed switching frequency for reactive power and current harmonic compensation. Ind Electron IEEE Trans 1995;42:402–8.10.1109/IECON.1992.254579Search in Google Scholar
13. Yumei Li, Weiming MA. Application of deadbeat control in series active power filter. Autom Electr Power Syst 2001;8:009.Search in Google Scholar
14. Masoum MA, Jamali S, Ghaffarzadeh N. Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks. IET Sci Meas Technol 2010;4:193–205.10.1049/iet-smt.2009.0006Search in Google Scholar
15. Gudaru U, Waje VB. Analysis of harmonics in power system using wavelet transform. In Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students’ Conference on, pages 1–5. IEEE, 2012.10.1109/SCEECS.2012.6184756Search in Google Scholar
16. Upadhyaya S, Mohanty S, Bhende CN. Hybrid methods for fast detection and characterization of power quality disturbances. J Control Autom Electr Syst 2015;26:556–66.10.1007/s40313-015-0204-4Search in Google Scholar
17. Uyar M, Yildirim S, Gencoglu MT. An effective wavelet-based feature extraction method for classification of power quality disturbance signals. Electr Power Syst Res 2008;78:1747–55.10.1016/j.epsr.2008.03.002Search in Google Scholar
18. Abdelsalam AA, Eldesouky AA, Sallam AA. Characterization of power quality disturbances using hybrid technique of linear Kalman filter and fuzzy-expert system. Electr Power Syst Res 2012;83:41–50.10.1016/j.epsr.2011.09.018Search in Google Scholar
19. Eris¸ti H, Demir Y. Automatic classification of power quality events and disturbances using wavelet transform and support vector machines. IET Gener Transm Distrib 2012;6:968–76.10.1049/iet-gtd.2011.0733Search in Google Scholar
20. Silva KM, Souza BA, Brito NS. Fault detection and classification in transmission lines based on wavelet transform and ann. Power Deliv IEEE Trans 2006;21:2058–63.10.1109/TPWRD.2006.876659Search in Google Scholar
21. Lin W-M, Wu C-H, Lin C-H, Cheng Fu-S. Detection and classification of multiple power quality disturbances with wavelet multiclass SVM. Power Delivery IEEE Trans 2008;23:2575–82.10.1109/TPWRD.2008.923463Search in Google Scholar
22. Biswal B, Behera HS, Bisoi R, Dash PK. Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. Swarm Evol Comput 2012;4:12–24.10.1016/j.swevo.2011.12.003Search in Google Scholar
23. Zobaa AF. Optimal multiobjective design of hybrid active power filters considering a distorted environment. Ind Electron IEEE Trans 2014;61:107–14.10.1109/TIE.2013.2244539Search in Google Scholar
24. Lu W, Li C, Xu C. Sliding mode control of a shunt hybrid active power filter based on the inverse system method. Int J Electr Power Energy Syst 2014;57:39–48.10.1016/j.ijepes.2013.11.044Search in Google Scholar
25. Rahmani S, Hamadi A, Al-Haddad K, Dessaint LA. A combination of shunt hybrid power filter and thyristor-controlled reactor for power quality. Ind Electron IEEE Trans 2014;61:2152–64.10.1109/TIE.2013.2272271Search in Google Scholar
26. Akagi H. Trends in active power line conditioners. Power Electron IEEE Trans 1994;9:263–8.10.1109/IECON.1992.254610Search in Google Scholar
27. Daubechies I. The wavelet transform, time-frequency localization and signal analysis. Inf Theory IEEE Trans 1990;36:961–1005.10.1515/9781400827268.442Search in Google Scholar
28. Ray PK, Subudhi B. Ensemble-Kalman-filter-based power system harmonic estimation. Instrum Meas IEEE Tran 2012;61:3216–24.10.1109/TIM.2012.2205515Search in Google Scholar
29. Swain SD, Ray PK, Mohanty KB. Voltage compensation and stability analysis of hybrid series active filter for harmonic components. In India Conference (INDICON), 2013 Annual IEEE, pages 1–6. IEEE, 2013.Search in Google Scholar
©2016 by De Gruyter
