Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller

References

1. Kamal E, Koutb M, Sobaih AA, Abozalam B. An intelligent maximum power extraction algorithm for hybrid wind-diesel-storage system. Int J Electr Power Energy Syst 2010;323:170–7.10.1016/j.ijepes.2009.07.005Search in Google Scholar

2. Lin J, Cheng L. Model parameters identification method for wind farms based on wide-area trajectory sensitivities. Int J Emerg Electr Power Syst 2010;11(2).10.2202/1553-779X.2608Search in Google Scholar

3. Li S, Haskew TA, Challoo R, Nemmers M. Wind power extraction from DFIG wind turbines using stator-voltage and stator-flux oriented frames. Int J Emerg Electr Power Syst 2010;11(5).10.2202/1553-779X.2676Search in Google Scholar

4. Torreglosa JP, García P, Fernández LM Jurado F. Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system‏. Renewable Energy 2015;74:326–36.10.1016/j.renene.2014.08.010Search in Google Scholar

5. Senjyu T, Muhando EB, Yona A, Urasaki N, Kinjo H, Funabashi T. Maximum wind power capture by sensorless rotor position and wind velocity estimation from flux linkage and sliding observer. Int J Emerg Electr Power Syst 2007;8(2).10.2202/1553-779X.1435Search in Google Scholar

6. Ippolito L. A sensorless fuzzy-based maximum power point tracker for micro and small wind energy conversion systems. Int J Emerg Electr Power Syst 2012;13(5).10.1515/1553-779X.3051Search in Google Scholar

7. Urasaki N, Howlader AM, Senjyu T, Funabashi T, Saber AY. High efficiency drive for micro-turbine generator based on current phase and revolving speed optimizations. Int J Emerg Electr Power Syst 2011;12(5).10.1109/PEDS.2003.1282988Search in Google Scholar

8. Pratap A, Senju T, Yona A, Urasaki N, Funabashi T. A hybrid control method for output power smoothing of a PMSG-based WECS. Int J Emerg Electr Power Syst 2012;12(6).10.1515/1553-779X.2756Search in Google Scholar

9. Benzaouia A., El Hajjaji A, Tadeo F. Stabilization of switching Takagi-Sugeno systems by switched Lyapunov function. Int J Adapt Control Signal Process 2011;25(12):1039–10491.10.1002/acs.1256Search in Google Scholar

10. Gyurkovics E, Eszes D. Sufficient conditions for stability and stabilization of networked control systems with uncertainties and nonlinearities. Int J Robust Nonlinear Control 2015;25(16):3004–22.10.1002/rnc.3245Search in Google Scholar

11. Yin C, Quan Y, Zhong CS. Robust stability and stabilization of uncertain fractional-order descriptor nonlinear system. Preprints of the 19th World Congress The International Federation of Automatic Control Cape Town, South Africa, August 24–29, 2014.Search in Google Scholar

12. Kamal E, Aitouche A, Abbes D. Robust fuzzy scheduler fault tolerant control of wind energy systems subject to sensor and actuator faults. Int J Electr Power Energy Syst 2014;55(1):402–19.10.1016/j.ijepes.2013.09.021Search in Google Scholar

13. Aitouche A, Kamal E. Intelligent control of wind energy conversion systems. Wind farm – impact in power system and alternatives to improve the integration. Book edited by Gastón Orlando Suvire, ISBN 978-953-307-467-2, Published: July 28, 2011 under CC BY-NC-SA 3.0.Search in Google Scholar

14. Koutroulis E, Kalaitzakis K. Design of a maximum power tracking system for wind-energy-conversion applications. IEEE Trans Ind Electron 2006;53(2):486–94.10.1109/TIE.2006.870658Search in Google Scholar

15. Aït Cheikh MS, Larbes C, Tchoketch Kebir GF, Zerguerras A. Maximum power point tracking using a fuzzy logic control scheme. Revue Des Energies Renouvelables 2007;10(3):387–95.10.54966/jreen.v10i3.771Search in Google Scholar

16. Morimoto S, Nakayama H, Sanada M, Takeda Y. Sensorless output maximization control for variable-speed wind generation system using IPMSG. IEEE Trans Ind Appl 2005;41(1):60–7.10.1109/IAS.2003.1257750Search in Google Scholar

17. Dida A, Attous DB. Adaptive hill-climb searching method for MPPT algorithm based DFIG system using fuzzy logic controller. Int J Syst Assur Eng Manage 2015;6:1–11.10.1007/s13198-015-0392-0Search in Google Scholar

18. Hua G, Geng Y. A novel control strategy of MPPT taking dynamics of the wind turbine into account. Proceedings of 37th IEEE Power Electronics Specialist Conference, PESC’06, 18–22 June, 2006:1–6.10.1109/pesc.2006.1712240Search in Google Scholar

19. Varzaneh SG, Rastegar H, Gharehpetian GB. A new three-mode maximum power point tracking algorithm for doubly fed induction generator based wind energy conversion system. Electr Power Compon Syst 2014;42(1):45–59.10.1080/15325008.2013.846437Search in Google Scholar

20. Kamal E, Aitouche A. Design of maximum power fuzzy controller for PV systems based on the LMI-based stability. Intell Syst Tech Med Diagnostics Adv Intell Syst Comput 2014;230:77–88.10.1007/978-3-642-39881-0_6Search in Google Scholar

21. Kamal E, Aitouche A, Ghorbani R, Bayart M. Robust fuzzy logic control of wind energy conversion systems with unknown inputs. Acta Press, Int J Power Energy Syst 2012;32(2):71–81.10.2316/Journal.203.2012.2.203-4913Search in Google Scholar

22. Lee DH, Park JB, Joo YH. A new fuzzy Lyapunov function for relaxed stability condition of continuous-time Takagi-Sugeno fuzzy systems. IEEE Trans Fuzzy Syst 2011;19:78–791.10.1109/TFUZZ.2011.2142315Search in Google Scholar

23. Faria FA, Silva GN, Oliveira VA. Reducing the conservatism of LMI-based stabilization conditions for TS fuzzy systems using fuzzy Lyapunov functions. Int J Syst Sci 2012;44:1956–69.10.1080/00207721.2012.670307Search in Google Scholar

24. Hwan Leea D, Bae Parka J, Hoon Joob Y. A fuzzy Lyapunov function approach to estimating the domain of attraction for continuous-time Takagi–Sugeno fuzzy systems. Inf Sci 2012;185(1):230–48.10.1016/j.ins.2011.06.008Search in Google Scholar

25. Chiu CS. TS fuzzy maximum power point tracking control of solar power generation systems. IEEE Trans Energy Convers 2010;25(4):1123–32.10.1109/TEC.2010.2041551Search in Google Scholar

26. Eltamaly AM, Farh HM. Maximum power extraction from wind energy system based on fuzzy logic control. Electr Power Syst Res 2013;97:144–50.10.1016/j.epsr.2013.01.001Search in Google Scholar

27. Cameron WP, Michael N. Very short-term wind forecasting for Tasmanian power generation. IEEE Trans Power Syst 2006;212:1–8.Search in Google Scholar

28. Babypriya B, Anita R.. Modelling, simulation and analysis of double fed induction generator for wind turbine. J Electr Eng 2009;60(2):79–85.Search in Google Scholar

29. Chitti BB, Mohanty KB. Doubly-fed induction generator for variable speed wind energy conversion systems- modeling & simulation. Int J Comput Electr Eng 2010;2(1):141–7.10.7763/IJCEE.2010.V2.127Search in Google Scholar

30. Di Giorgio A., Pimpinella L, Mercurio A. A feedback linearization based wind turbine control system for ancillary services and standard steady state operation. 18th Mediterranean Conference on Control & Automation, 2010:1585–90.10.1109/MED.2010.5547821Search in Google Scholar

31. Lei Y, Mullane A, Lightbody G, Yacamini R. Modeling of the wind turbine with a doubly fed induction generator for grid integration studies. IEEE Trans Energy Convers 2006;21(1):257–64.10.1109/TEC.2005.847958Search in Google Scholar

32. Gálvez-Carrillo M, Kinnaert M. Sensor fault detection and isolation in doubly-fed induction generators accounting for parameter variations. Renewable Energy 2011;36(5):447–1457.10.1016/j.renene.2010.10.021Search in Google Scholar

33. Yang X, Liu X, Wu Q. Integral fuzzy sliding mode control for variable speed wind power system. Proceedings of the IEEE International Conference on Automation and Logistics August 18–21, Jinan, China, 2007:1289–94.10.1109/ICAL.2007.4338768Search in Google Scholar

34. Tong S, Li H. Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties. Fuzzy Sets Syst 2002;131:165–84.10.1016/S0165-0114(01)00216-0Search in Google Scholar

35. Geromel JC, Korogui RH. Analysis and synthesis of robust control systems using linear parameter dependent Lyapunov functions. IEEE Trans Autom Control 2006;5112:1984–9.10.1109/TAC.2006.884958Search in Google Scholar