### A Review of the State of the Art Control Techniques for Wind Energy Conversion System

#### Abstract

Alternative energy sources have become a necessity for the socio-economic growth of a country; fossil fuels are declining and by increasing the power demand, the world is on the edge of a global energy crisis. Furthermore, due to the widespread use of traditional energy sources, this creates pollution and global warming effects on the environment. In the light of this, renewable energy such as the wind and solar energy are highly significant and viable solution in order to fulfil power demand, due to its low operating costs and available in bulk quantities which make it exploitation beneficial for the development of any country. Besides that, for over the past decades, the researchers have been working on this enormous challenge. In this review article, we put forward a wide-ranging and significant research conducted on the state of the art control methodologies for wind energy systems. Therefore, author’s main aim is to ensure up-to-date knowledge of wind energy control techniques for the research community and can be considered for future directions. In the available literature, we have summarized numerous wind turbine control techniques with their performance. Furthermore, prospective future advancements and gaps have also been examined comprehensively, and omissions of other researchers are purely unintentional.

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Department of Economic and Social Affairs. World population prospects the 2012 revision; 2013.ESA/P/WP.227. Available: 〈http://esa.un.org/wpp/Documentation/pdf/WPP2012_%20KEY%20FINDINGS.pdf〉.

US Department of Energy. International energy outlook 2013.Technical report DOE/EIA-0484.US Department of Energy; 2013. Available:〈http://www.eia.gov/forecasts/ieo/pdf/0484 (2013).pdf〉.

L. Giusti, “A review of waste management practices and their impact on human health,” Waste Mang., vol. 29, pp. 2227–39, 2009.

World Nuclear Association. Nuclear radiation and health effects; 2014. Available:〈http://www.world-nuclear.org/info/Safety-and-Security/Radiation-and- Health/Nuclear-Radiation-and-Health-Effects〉.

K. S. Benjamin, “The cost of failure: a preliminary assessment of major energy accidents,” Energy Policy, vol. 36, pp. 1802–20. 2008.

P. Y .Lipscy, K. E. Kushida, T. Incerti,” The Fukushima disaster and Japan’s nuclear plan vulnerability in comparative perspective,” Environ Sci Technol,vol. 47, pp. 6082–8, 2013.

W. R. Johnston, Fleurusir radiator accident Data base of radiological incidents and related events; 2014. Available: 〈http://www.johnstonsarchive.net/nuclear/rade vents/2006BELG1.html〉.

R. Resmi, V. Vanitha,”Modeling of Brushless Doubly Fed Induction Generator with Converter Control,” Apron Journal of Engineering and Applied Sciences, vol. 10, no. 7, Apr. 2015.

International Energy Agency. International Organization for Standardization (IEA–ISO). International standards to develop and promote energy efficiency and renewable energy sources, Special ISO focus-world energy congress, p. 5-10, 2007.

R. Richardson and G. Mc Nerney, “Wind energy systems,” IEEE Proceedings, vol. 81, pp. 378-389, Mar. 1993.

American Wind Energy Association; 2014. Available: 〈http://www.awea.org/Media Center/pressrelease.aspx? Item Number6320〉.

E. H. S. Ralph, H. H. Rogner, K. Gregory, “Carbon emission and mitigation cost comparison between fossil fuel, nuclear and renewable energy resources for electricity generation,” Energy Policy; vol. 31, pp. 1315-26, 2003.

M. H. Baloch et al., “Feasible Wind Power Potential from Costal Line of Sindh Pakistan,” Research Jour. of Appl. Sci. Eng.& Tech., vol. 10, no. 4, pp. 393-400, 2015.

US, Energy Information Administration. Available: (〈http://www.eia.gov/tools/faqs/faq.cfm?id=86&t=1〉) [accessed 08.10.2013 (US Energy Information Administration)].

U.S. Energy Information Administration. Annual energy review 2009: energy consumption by sector; Aug. 2010.

J. M. M. Quade. A systems approach to high performance buildings. Technical report. United Technologies Corporation; April 2009. Available: http://gop.science.com.

D. Zhoua, S. H. Park, “Simulation-assisted management and control over building energy efficiency-a case study,” Proceedings in energy procedia, vol. 14, pp. 592-600, 2012.

Intelligent Energy Agency (IEA). Policy pathways: energy performance certification of buildings-a policy tool to improve energy efficiency; 2010.

European Parliament and Council. Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings. Official J. Eur Union 2010; vol. 53: pp.13-35.

EC-European Commission. SEC. 1729, a lead market initiative for Europe. Action plan for sustainable construction, annex I, 2007.

EU-European Union. Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast).

Regulating Authority for Energy (RAE). The energy system in Greece; Jun. 2004.

M. Balat, “Security of energy supply in Turkey:”, challenges and solutions. Energy Conversion and Management, vol. 51, 1998-2011.

UNDP. Promoting Energy Efficiency in Buildings in Turkey. 2011-2015, General Directorate of Renewable Energy. Available: 〈http://www.undp.org.tr/Gozlem2.aspx?WebSayfaNo=2230〉, [accessed 11.11.2013].

Singapore Energy Statistics; Policy and Planning Department, Research and Statistics Unit Research and Statistics Unit, Energy Market Authority, Republic of Singapore ISSN: 2251-2624; 2012.

S. Ramesh, Available: http://ifonlysingaporeans.blogspot.com/2012/06/singapores-strategy-to-fight-climate.html [accessed on Jul. 2012].

C. Andrea, M. K. Marcus, J. I. Torrens, C. Edward, Building operation and energy performance: monitoring, analysis and optimization tool kit,” Applied Energy, vol. 101, pp. 310-6, 2013.

P. D. Morosan et al., “Building temperature regulation using a distributed model predictive control, “Energy Build, vol. 42, pp.1445-52, 2010.

C. Ender. International development of wind energy use—status. DEWI Mag, vol. 27, pp. 36–43, 2004.

Kumar et al.,”Wind energy: Trends and enabling technologies," Renewable & Sustainability Energy Reviews, vol. 53, pp. 209-224, 2016.

Global Wind energy council. Available: http://www.gwec.net/publications/global-wind-report-2/.

REN21, Renewable Global status report; 2014. Available: 〈http://www.ren21.net/por tals/0/documents/resources/gsr/2014/gsr2014_full%20report_low%20res.pdf〉.

Global wind statics 2013. Available: 〈http://www.gwec.net/wp-content/ uploads/2014/02/GWEC-PRstats-2013_EN.pdf〉.

WWEA. Half-year report 2013. Available: 〈http://www.wwindea.org/webimages/Half- year_report_2013.pdf〉.

J. K. Kaldellis, D. Zafirakis, “The wind energy revolution: a short review of long history,” Renew Energy, vol. 36, pp. 1887–901, 2011.

L. H. Hansen, et al., “Generators and power electronics technology for wind turbines,” IEEE proc. On Industrial Electronics Society Conference, Denver, Col- orado, USA; pp. 2000–5, 2001.

US Department of Energy. Energy efficiency and renewable energy. Wind program information resources; 2014. Available: 〈http://www1.eere.energy.gov/wind/m/wind_how.html〉.

Y. Baghzouz. Characteristics of wind power systems.UNLV; 2014. Available: http://www.egr.unlv.edu/eebag/7.pdf〉.

H. Riegler, HAWT versus VAWT: small VAWT find aclearniche. Refocus; vol.4, pp. 44–6, 2003.

Barnardon wind; 2014. Available: 〈http://barnardonwind.com/2013/02/23/why-arent-vertical-axis-wind-turbines-more-popular/〉.

TECHSOURCE; 2014. Available: 〈http://www.tech.sc/how-vertical-horizontal-wind-turbines-work-and-how-much-energy-they-generate/〉.

F. D. Bianchi, H. D. Battista, and R. J. Mantz, Wind Turbine Control System: Principles, Modeling, and Gain Scheduling Design. Springer-Verlag, London, UK, 2007.

G. M. Marcelo, M. G. A. Juan, “Wind farm–technical regulations, potential estimation and siting assessment,” Edited by Gaston O. Suvire; ISBN 978-953-307-483-2, 2011.

American Wind Energy Association. Anatomy of a wind turbine; 2014. Available: 〈http://www.siemens.com/innovation/en/news/2012/e_inno_1223_2.htm〉.

M. Karimirad,”Off shore energy structures for wind power,” wave energy and hybrid marine plat forms. Springer, pp.7–16; ISBN 978-3-319-12174-1, 2014.

I. Helal, A. M. Atallah, M. A. Samy, “IEEE Proceedings Conference on Power and Energy Society General meeting,” San Diego, CA, p.1–8, 2012.

J. G. Slootweg. "Wind power, modeling and impact on power system dynamics," PhD Thesis, Power Systems Laboratory, Delft University of Technology, 2003.

H. Li, and Z. Chen, “Overview of different wind generator systems and their comparisons,” IET Renewable Power Generation, vol. 2, no. 2, pp.123-138, 2008.

R. Cárdenas, et al., “Analytical and experimental evaluation of a WECS based on a cage induction generator fed by a matrix converter,” IEEE Trans. on Energy Conversion, vol. 26, no. 1, pp. 204-215, 2011.

M. Liserre, R. Cárdenas, M. Molinas, J. Rodríguez, “Overview of multi-MW wind turbines and wind parks,” IEEE Transactions on Industrial Electronics, vol. 58, pp. 1081-1095, 2011.

L. Xu, B. Guan, H. Liu, L. Gao, K. Tsai, “Design and control of a high-efficiency Doubly-Fed Brushless machine for wind power generator application,” IEEE Energ. Conver. Cong. and Expo. (ECCE), pp. 2409–2416, 2010.

S. Shao, E. Abdi, R. McMahon, “Vector control of the Brushless Doubly-Fed Machine for Wind Power Generation,” IEEE International Conference on Sustainability Energy & Technology (ICSET), pp. 322-327, 2008.

L. J. Hunt, “A new type of induction motor,” Journal of the Institute of Electrical Engineers, vol. 39, pp. 648-667, 1907.

L. J. Hunt, “The cascade induction motor,“ Journal of the Institute of Electrical Engineers, vol. 52, pp. 406-426, 1914.

F. Creedy, “Some developments in multispeed cascade induction motors, Journal of IEE (London), vol. 59, pp. 511-532, 1927.

B. H. Smith, “Synchronous behavior of doubly fed twin stator induction,” IEEE Transactions on Power Apparatus and Systems, vol. 86, pp. 1227–1234, 1967.

A. R.W. Broadway, L. Burbridge, “Self-cascaded machine: a low-speed motor or high-frequency brushless alternator,” Proceedings of the Institute of Electrical Engg., vol. 117, pp. 1277-1290, 1970.

B. Hopfensperger, D.J. Atkinson, “Doubly-fed a.c.machines: classification and comparison,” 9th Proc. Euro. Conference on Power Elect. and Appl., 2001.

B. Hopfensperger, D. J. Atkinson, R. A. Lakin, “Stator-flux oriented control of a doubly-fed induction machine without position encoder,” IEE Proc. on Elect. Power Appl., vol. 147, pp. 241-250, 2000.

B. Hopfensperger, D. J. Atkinson, R. A. Lakin, “Stator flux oriented control of a cascaded doubly-fed induction machine,”IEE Pro. On Electric Power Applications, vol. 146, pp. 597-605, 1999.

B. Hopfensperger, D. J. Atkinson, R. A. Lakin, “Combined magnetizing flux oriented control of the cascaded doubly-fed induction machine,” IEE Proc. on Electrical. Power Appl., vol. 148, pp. 354-362, 2001.

P. Rochelle, R. Spee, A. K. Wallace, “The effect of stator winding configuration on the performance of brushless doubly-fed machines in adjustable speed drives,” IEEE Conf. Ind. Appl. Society Annual Meeting, vol. 1, pp. 331-337, 1990.

A. K. Wallace et al.,“The brushless doubly-fed machine: its advantages, applications and design methods,” 6th Int. Conf. on Electr. Mach. and Drives, publication no. 376, pp. 511-517, 1993.

P. C. Roberts et al.,”Equivalent circuit for the brushless doubly fed machine (BDFM) including parameter estimation and experimental verification,” IEE Proc. on Electric Power Appl., vol. 152, pp. 933-942, 2005.

X. Wang, R.A. McMahon, P. J. Tavner, “Design of the Brushless Doubly-Fed (Induction) machine,” IEEE Intern Conf. on Electrical Machines. & Drives. (IEMDC), pp. 1508-1513, 2007.

F. Barati et al.,”Generalized vector model for the Brushless Doubly-Fed machine with a nested-loop rotor,” IEEE Transactions on Industrial Electronics, vol. 58, pp. 2313-2321, 2011.

F. Barati, ”The Brushless Doubly-Fed machine vector model in the rotor flux oriented reference frame,” 34th IEEE Annual Conference on Industrial Electronic, (IECON), pp.1415-1420, 2008.

IEEE Explorer. Available: 〈http://ieeexplore.ieee.org/Xplore/home.js

Google Scholar. Available: 〈http://scholar.google.com/〉.

Research Gate. Available: 〈https://www.researchgate.net/〉.

F. D. Bianchi, H. D. Battista, and R. J. Mantz, Wind Turbine Control System: Principles, Modelling, and Gain Scheduling Design. Springer-Verlag, London, UK, 2007.

P. Moriarty and S. Butterfield, “Wind turbine modeling overview for control engineers,” American Control Conference (ACC), pp. 2090 –2095, Jun. 2009. [14 references].

Y. Z. Sun, J. Lin, G. jie Li, and X. Li, “A review on the integration of wind farms with variable speed wind turbine systems into power systems,” International Conference on Sustainable Power Generation and Supply (SUPERGEN), pp. 1-6, Apr. 2009. [57 references].

H. Li and Z. Chen, “Overview of different wind generator systems and their comparisons,” IET Renewable Power Generation, vol. 2, pp. 123 –138, Jun. 2008. [60 references].

J. Yan, J. Chen, H. Ma, H. Liu, and L. Chen, “The survey of electrical control systems of wind turbine generators,” International Conference on Sustainable Power Generation and Supply (SUPERGEN), pp. 1-5, Apr. 2009. [27 references].

Sun, Yuan-zhang, et al., “Review on frequency control of power systems with wind power penetration,” IEEE International Conference on Power Syst. Technology (POWERCON), pp-1-8, 2010. [40 references].

J. H. Laks, L. Pao, and A. Wright, “Control of wind turbines: Past, present, and future,” American Control Conference (ACC), pp. 2096-2103, Jun. 2009. [42 references].

Y. Ling, W. Guoxiang, C. Xu,” Comparison of wind turbine efficiency in maximum power extraction of wind turbines with doubly fed induction generator,” Prze gląd Elektro techniczny Electrical Review, pp. 5, 2012. [20 references].

M. N. Y. Murthy, “A review on power electronics application on wind turbines,” International Journal of Research in Eng. &Technology, vol. 02, issue. 11, Nov. 2013. [09 references].

L. A. Soriano, W. Yu, and J. J. Rubio, “Review Article Modeling and Control of Wind Turbine,” Mathematical Problems in Eng., vol. 2013, pp.13. [67 references].

V. J. Kante, D. Z. J. Khan, “A Review Paper on Modeling And Simulation of Permanent Magnet Synchronous Generator Based on Wind Energy Conversion System,” International Jour. of Engg. Research and Appl., vol. 4, issue 6 (version 1), June 2014, pp.34-43. [09 references].

I. Buehring and L. Freris, “Control policies for wind-energy conversion systems,” IEE Proceedings Conference: on Generation, Transmission and Distribution, vol. 128, pp. 253-261, Sep. 1981.

S. Natarajan, K.; Sivakumar and A. Sharaf, “Multirate PI control system performance for a wind energy conversion scheme,” American Control Conference (ACC), pp. 2774-2775, 1991.

I. Tsoumas, et al., “An optimal control strategy of a variable speed wind energy conversion system,”6th International Conference on Electrical Machines and Systems ICEMS, vol. 1, pp. 274 – 277, Nov. 2003.

J. W. Perng, G. Y. Chen and S. C. Hsieh, “Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems,” Energies, vol. 7, pp. 191-209, 2014.

M. Bayat and H. Karegar, “Predictive control of wind energy conversion system,” 1st International Conference on Developments in Renewable Energy Technology (ICDRET), pp. 1-5, Dec. 2009.

D. Dang, Y. Wang, and W. Cai, “Nonlinear model predictive control of fixed pitch variable speed wind turbine,” IEEE International Conference on Sust. Energy Technologies, ICSET, pp. 29-33, Nov. 2008.

H. H. Morten et al., “Control design for a pitch-regulatd, variable speed wind turbine”, RISO National Laboratory, vol. 84, 2005.

F. D. Bianchi, H. N. De Battista, et al., “Wind turbine control systems: principles, modeling and gain scheduling design,” London, Springer, 2007.

L. C. Henriksen, “Model Predictive Control of a Wind Turbine,” Master's thesis, Tech. University of Denmark, DTU, IMM-Thesis, 2007.

D. W. Alan, L. J. Fingersh, and M. J. Balas, "Testing state space controls for the Control Advanced Research Turbine", 44th Meeting and Exhibit on Aerospace Sciences,Reno, Nevada, pp. 9-12, Jan. 2006.

E. Muhando et al., “Stochastic inequality constrained closed-loop model-based predictive control of MW-class wind generating system in the electric power supply,” IET Renewable Power Generation, vol. 4, pp. 23-35, Jan. 2010.

J. Novak, P. Chalupa, “MIMO Predictive Control of a Wind Turbine,” International Journal of Energy and Environment, vol. 8, 2014.

K. Ouari, M. Ouhrouche, T. Rekioua and T. Nabil,” Nonlinear Predictive Control of Wind Energy Conversion System using Dfig with Aerodynamic Torque Observer,” Journal of Electrical Engineering, vol. 65, no. 6, pp. 333-341, 2014.

L. Wang, T. Shen, and C. Chen, “Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator,” Hindawi Publishing Corporation Abstract and Applied Analysis, pp. 11, vol. 2015.

M. A. Mayosky and I. Cancelo, “Direct adaptive control of wind energy conversion systems using Gaussian networks,” IEEE Transactions on Neural Networks, vol. 10, pp. 898-906, Jul. 1999.

M. Sedighizadeh, A. Rezazadeh, and M. Khatibi, “A self-tuning PID control for a wind energy conversion system based on the Lyapunov approach,”43rd International Conference on Universities Power Engineering (UPEC), pp. 1-4, Sep. 2008.

M. Sedighizadeh, D. Arzaghi-Harris, and M. Kalantar, “Adaptive PID control of wind energy conversion systems using RASP1 mother wavelet basis function networks,” 10th IEEE Conference on TENCON, vol. C, pp. 524-527, Nov. 2004.

J. Hui and A. Bakhshai, “A new adaptive control algorithm for maximum power point tracking for wind energy conversion systems,” IEEE Power Electr. Specialists Conference (PESC), pp. 4003-4007, Jun. 2008.

J. Hui and A. Bakhshai, “Adaptive algorithm for fast maximum power point tracking in wind energy systems,” 34th IEEE Annual conf. on Industrial Electronics (IECON), pp. 2119-2124, Nov. 2008.

K. Raza et al.,“A novel speed sensor-less adaptive hill climbing algorithm for fast and efficient maximum power point tracking of wind energy conversion systems,”IEEE Int. Conf. on Sustainable Energy Technologies (ICSET), pp. 628 –633, Nov. 2008.

F. Karim, M. F. Hossain, and M. S. Alam, “Modified Hill Climb Searching Method For Tracking Maximum Power Point In Wind Energy Conversion Systems,” Proceedings International Conference on Mechanical Engineering (ICME), pp. 18-20, Dec. 2011.

D. A. Haris, M. Sedighizadeh,” Nonlinear Model Identification and Adaptive Control Of Variable Speed Wind Turbine Using Recurrent Neural Network

,” International Journal on Tech. & Physics Problems of Engg. (IJTPE), vol. 6. no.3, pp. 29-37, Sept. 2014.

M. Lima, J. Silvino, and P. de Resende, “H∞ control for a variablespeed adjustable-pitch wind energy conversion system,” IEEE Proceedings Ind. Electronics and International Symposium (ISIE), vol. 2, pp. 556-561, 1999.

R. Rocha et al., “Control of stall regulated wind turbine through H∞: loop shaping method,” IEEE Proceedings International Conference on Control Appl. (CCA), pp. 925-929, 2001.

R. Rocha and L. Filho, “A multivariable H∞ control for wind energy conversion system,” IEEE Proceedings Int. Conference on Control Appl. (CCA), vol. 1, pp. 206-211, Jun. 2003.

R. Rocha, L. Filho, and M. Bortolus, “Optimal multivariable control for wind energy conversion system -a comparison between H 2 and H∞ controllers,” 44th IEEE European Control Conference on Decision and Control (CDC-ECC), pp. 7906-7911, Dec. 2005.

C. C. Hao, Y. Jian,” H-∞ Control for Doubly-Fed Wind Power Generators with Variable Speed and Constant Frequency,” Chinese Journal of Small & Special Machines, 2011-12.

S. Heier, Grid Integration of Wind Energy Conversion Systems (2nd edition), New Jersey: Wiley, 2006.

A. I. Bratcu, I. Munteanu, E. Ceanga, “Optimal control of wind energy conversion systems: from energy optimization to multi-purpose criteria-a short survey,” 16th Mediterranean Conference on Control and Automation, pp.759-766, Ajaccio, France, 2008.

B. Beltran, T. Ahmed-Ali, M. E. H. Benbouzid, “Sliding mode power Control of variable-speed wind energy conversion systems,” IEEE Transactions on Energy Conversion, vol. 23, no. 2, pp. 551-558, 2008.

M. A. Mayosky, G. I. E. Cancelo, “Direct adaptive control of wind energy conversion systems using Gaussian networks,” IEEE Transaction on Neural Networks, vol.10, no.4, pp. 898-906, 1999.

R. Chedid, F. Mrad, M. Basma, “Intelligent control of a class of wind energy conversion systems,” IEEE Transaction on Energy Conversion, vol.14, no.4, pp.1597-1604, 1999.

B. Wang, P. Wang, X. Chen, and X. Yuan, “Robust control of variable speed adjustable-pitch wind energy conversion system based on Hamiltonian energy theory,” International Conference on Sustainable Power Generation and Supply (SUPERGEN), pp. 1-6, Apr. 2009.

H. Tien, C. Scherer, and J. Scherpen, “Robust performance of self-scheduled LPV control of doubly-fed induction generator in wind energy conversion systems,” European Conference on Power Electronics and Applications, pp. 1-10, Sep. 2007.

D. Bourlis and J. Bleijs, “Gain scheduled controller with wind speed estimation via Kalman filtering for a stall regulated variable speed wind turbine,”44th Proceedings International Universities Power Engineering Conference (UPEC), pp. 1-5, Sep. 2009.

J. J. Chen and Z. C. Ji, “The gain scheduling control for wind energy conversion system based on LPV model,” International Conference Networking, Sensing and Control (ICNSC), pp. 653-657, Apr. 2011.

W. Wang, D. Wu, Y. Wang, and Z. Ji, “H∞ gain scheduling control of PMSG-based wind power conversion system,” 5th IEEE Conf.on Industrial Electronics and Applications (ICIEA), pp. 712-717, Jun. 2010.

S.Ghasemi et al.,” Application of Fractional Calculus Theory to Robust Controller Design For Wind Turbine Generators,” IEEE Transactions on Energy Conversion, vol. 29, No. 3, Sept. 2014.

H. Moradi, G. Vossoughi,” Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers,” Energy Journal xxx, pp. 1-14 (In Press 2015).

R. Chedid, F. Mrad, and M. Basma, “Intelligent control of class of wind energy conversion systems,” IEEE Transaction on Energy Conversion, vol. 14, pp. 1597-1604, Dec. 1999.

A. Z. Mohamed, M. N. Eskander, and F. A. Ghali, “Fuzzy logic control based maximum power tracking of wind energy system,” Renewable Energy, vol. 23, pp. 235-245, 2001.

K. Tan and S. Islam, “Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors,” IEEE Transactions on Energy Conversion, vol. 19, pp. 392-399, Jun. 2004.

A. Bratcu et al., “Energetic optimization of variable speed wind energy conversion systems by extremum seeking control,” 34th International Conference on Computer as a Tool, pp. 2536-2541, Sep. 2007.

M. Haque, K. Muttaqi & M. Negnevitsky, “Control of a standalone variable speed wind turbine with a permanent magnet synchronous generator,” IEEE Power and Energy Society, pp. 1-8, 2008.

M. Haque, M. Negnevitsky & K. Muttaqi,”A novel control strategy for a variable speed wind turbine with a permanent magnet synchronous generator,” IEEE Ind. Appl. Society Annual Meeting, pp. 1-8, 2008.

A. Bratcu, I. Munteanu, and E. Ceanga, “Optimal control of wind energy conversion systems: From energy optimization to multi-purpose criteria - a short survey,”16th Mediterranean Conference on Control and Automation, pp. 759-766, Jun. 2008.

S. Sanchez et al., “Optimal PI control of a wind energy conversion system using particles swarm,” Conference on Electronics, Robotics and Automotive Mechanics (CERMA), pp. 332-337, Sep. 2009.

M. M. Hussein et al.,” Simple Sensor less Maximum Power Extraction Control for a Variable Speed Wind Energy Conversion System,” Int. Jour. of Sustainability & Green Energy, vol. 1, no. 1, pp. 1-10, 2012.

M. M. Hussein et al.,” Control of a Stand-Alone Variable Speed Wind Energy Supply Syst.” Appl. Sci., vol. 3, pp. 437-456, 2013.

S. Faqirzay, H. D. Patel, “Maximum Power Extraction from Wind Generation System Using MPPT Control Scheme through Power Electronics Converters,” International Jou. of Innovative Res. in Elect., Electr., Instrumentation and Control Engineering, vol. 3, issue. 3, Mar. 2015.

M. M. Hussein et al., "Control of a grid connected variable speed wind energy conversion system," International Conference on Renewable Energy Res. and Appl. (ICRERA), vol., no., pp.1-5, 11-14, Nov. 2012.

H. K. Khalil, Nonlinear Systems (2nd Edition) Prentice-Hall. Inc., Upper Saddle River, New Jersey, U.S, 1996.

H. De Battista and R. Mantz, “Sliding mode control of torque ripple in wind energy conversion systems with slip power recovery,” 24th IEEE Annual Conference on Industrial Electronics Society (IECON), vol. 2, pp. 651-656 vol.2, Aug. 1998.

H. De Battista, P. Puleston, R. Mantz, and C. Christiansen, “Sliding mode control of wind energy systems with DOIG-power efficiency and torsional dynamics optimization,” IEEE Transaction on Power Systems, vol. 15, pp. 728-734, May. 2000.

R. Pena and D. Sbarbaro, “Integral variable structure controllers for small wind energy systems,” 25th IEEE Preceding Annual Conference on Industrial Electronics Society, vol. 3, pp. 1067-1072, 1999.

F. Valenciaga, P. Puleston, and P. Battaiotto, “Variable structure system control design method based on a differential geometric approach: application to a wind energy conversion subsystem,” IEE Proceedings on Control Theory and Applications, vol. 151, pp. 6 – 12, Jan. 2004.

F. Valenciaga and P. Puleston, “Variable structure control of a wind energy conversion system based on a brushless doubly fed reluctance generator,” IEEE Trans. on Energ. Conv., vol. 22, pp. 499-506, Jun. 2007.

S. F. Pinto, L. Aparicio, and P. Esteves, “Direct controlled matrix converters in variable speed wind energy generation systems,” International Conference on Power Engineering, Energy and Electrical Drives POWERENG, pp. 654–659, Apr. 2007.

B. Beltran, T. Ahmed-Ali, and M. E. H. Benbouzid, “Sliding mode power control of variable-speed wind energy conversion systems,” IEEE Transaction on Energy Conversion, vol. 23, pp. 551 –558, Jun. 2008.

I. Munteanu, S. Bacha, A. Bratcu, J. Guiraud, and D. Roye, “Energy reliability optimization of wind energy conversion systems by sliding mode control,” IEEE Transaction on Energy Conversion, vol. 23,pp. 975 –985, Sep. 2008.

F. Valenciaga and P. Puleston, “High-order sliding control for a wind energy conversion system based on a permanent magnet synchronous generator,” IEEE Transactions on Energy Conversion, vol. 23, pp. 860–867, Sep. 2008.

X. Zheng, W. Wei, and D. Xu, “Higher-order sliding mode control of DFIG wind energy system under LVRT,” Asia-Pacific Conference on Power and Energy Engineering (APPEEC), pp. 1 –4, Mar. 2010.

Elghali, et al., “High-order sliding mode control of a marine current turbine driven permanent magnet synchronous generator,” IEEE International Conference on Electric Machines and Drives (IEMDC), 2009.

D. Kairous, R. Wamkeue, and B. Belmadani, “Advanced control of variable speed wind energy conversion system with DFIG,” 9th International Conference on Environment and Electrical Engineering (EEEIC), pp. 41–44, May. 2010.

S. Ciampichetti, et al., “Sliding mode control of permanent magnet synchronous generators for wind turbines,” 37th IEEE Annual Conference on Industrial Electronics Society (IECON), 2011.

Errami et al., “Nonlinear control of MPPT and grid connected for wind power generation systems based on the PMSG,” IEEE International Conference on Multimedia Computing and Systems (ICMCS), pp. 1055-1060, 2012.

E. Rajendran, Dr. C. Kumar, G. Ponkumar,“ Sliding Mode Controller based Permanent Magnet Synchronous Generator with Z-Source Inverter for Variable Speed Wind Energy Translation Structure using Power Quality Enhancement,” International Journal of Engineering Science & Technology, vol. 75, no. 06. Aug. 2013.

O. Barambones et al.,”A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator,” Energies, vol.7, 2014.

J. Hostettler, X. Wang, “Sliding mode control of a permanent magnet synchronous generator for variable speed wind energy conversion systems,” Jou.of Cont. Sci. and Engg., vol. 3, no.1, pp. 453-459, 2015.

H. Li, K. Shi, and P. McLaren, “Neural-network-based sensor-less maximum wind energy capture with compensated power coefficient,” IEEE Trans. on Industry Applications, vol. 41, pp. 1548-1556, Nov. 2005.

Y. Ren and G. Bao, “Control strategy of maximum wind energy capture of direct-drive wind turbine generator based on neural-network,” Asia-Pacific Conf.on Pow.and Eng. Eng. (APPEEC), pp. 1–4, Mar. 2010.

J. S. Thongam, P. Bouchard, H. Ezzaidi, and M. Ouhrouche, “Artificial neural network-based maximum power point tracking control for variable speed wind energy conversion systems,” IEEE Control Applications (CCA) and Intelligent Control, (ISIC), pp. 1667-1671, Jul. 2009.

T. Li,A. J. Feng, and L. Zhao,” Neural Network Compensation Control for Output Power Optimization of Wind Energy Conversion System Based on Data-Driven Control,” Jou. of Cont. Sci. and Eng., vol. 2012.

A. Karakaya, E. Karaka, “Implementation of neural network-based maximum power tracking control for wind turbine generators,” Turk J Elec Eng & Comp Sci, vol. 22, pp. 1410-1422, 2014.

S. Ganjefar, A. A. Ghassemi, M. M. Ahmadi, “Improving efficiency of two-type maximum power point tracking methods of tip-speed ratio and optimum torque in wind turbine system using a quantum neural network,” Energy, vol. 67, pp. 444-453, 2014.

E. Assareh & M. Biglari, ”A Novel Approach to Capture the Maximum Power Generation from Wind Turbines Using Hybrid MLP Neural Network and Bees Algorithm (HNNBA),” IETE J.of Research, 2015.

Mohamed, et al., “Fuzzy logic control based maximum power tracking of a wind energy system,” Renewable energy, vol. 23, no. 2, pp. 235-245, 2001.

M. M. Prats et al., “A new fuzzy logic controller to improve the captured wind energy in a real 800 kW variable speed-variable pitch wind turbine,” 33rd IEEE Annual Conf. on Power Elect: Specls (PESC), vol. 1, pp. 101-105, 2002.

A. Besheer, H. Emara, and M. Abdel Aziz, “Fuzzy based output feedback control for wind energy conversion system: An LMI approach,” IEEE PES Conference and Exposition on Power Syst. (PSCE), pp. 2030-2037, Oct. 2006.

A. H. Besheer, H. M. Emara, and M. M. A. Aziz, “Fuzzy-based output-feedback H∞ 1 control for uncertain nonlinear systems: an LMI approach,” IET Control Theory & Applications, vol. 1, no. 4, pp. 1176-1185, 2007.

X. Zhang, W. Wang, and Y. Liu, “Fuzzy control of variable speed wind turbine,” 6th World Congress on Intelligent Control and Automation (WCICA), vol. 1, pp. 3872 –3876, 2006.

X. Zhang et al., “Fuzzy control used in variable speed wind turbine,” IEEE International Conference on Automation and Logistics (ICAL), pp. 1194–1198, Aug. 2009.

X. J. Jun et al., “Study of variable-pitch wind turbine based on fuzzy control,”2nd International Conference on Future Computer and Communication (ICFCC), vol. 1, pp. V1-235-V1-239, May. 2010.

C. Amendola and D. Gonzaga, “Fuzzy-logic control system of a Variable-speed variable-pitch wind-turbine and a double-fed induction generator,” 7th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 252-257, Oct. 2007.

N. Boonpirom and K. P. Wattanakij, “Wind farm generator control using self-tuning fuzzy controller,” International Conference on Electrical and Computer Engineering (ICECE), pp. 221-224, Dec. 2006.

V. Calderaro, V. Galdi, A. Piccolo, and P. Siano, “A fuzzy controller for maximum energy extraction from variable speed wind power generation systems,” Electric Power Systems Research, vol. 78, no. 6. pp. 1109-1118, 2008.

Q. Zeng, L. Chang, and R. Shao, “Fuzzy-logic-based maximum power point tracking strategy for PMSG variable-speed wind turbine generation systems,” Canadian Conf: on Elect: and Comp: Engg. (CCECE), pp. 405-410, May. 2008.

Krichen, Lotfi, B. Francois, and A. R. Ouali, “A fuzzy logic supervisor for active and reactive power control of a fixed speed wind energy conversion system,” El. Pow. Sys. Res., vol. 78, no. 3, pp. 18-424, 2008.

L. Jerbi, L. Krichen, and A. Ouali, “A fuzzy logic supervisor for active and reactive power control of a variable speed wind energy conversion system associated to a flywheel storage system,” Electric power systems research, vol. 79, no. 6, pp. 919-925, 2009.

J. Hui, A. Bakhshai, and P. K. Jain, “A master-slave fuzzy logic control scheme for maximum power point tracking in wind energy systems,” 32nd Intern. Conf. on Telec. Energy (INTELEC), pp. 1 –6, Jun. 2010.

X. Yunqi, “A novel optimum power fuzzy control strategy for doubly fed wind turbine,” 8th IEEE International Conference on Control and Automation (ICCA), pp. 165-170, Jun. 2010.

S. Mishra, Y. Mishra, F. Li, and Z. Dong, “TS-fuzzy controlled DFIG based wind energy conversion systems,” IEEE PES General Meeting in Power Energy Society, pp. 1-7, Jul. 2009.

M. Ali et al., “Improvement of wind-generator stability by fuzzy-logic-controlled SMES,” IEEE Transaction on Industry Applications, vol. 45, pp. 1045 –1051, May. 2009.

Z. Huo, Y. Zheng, C. Xu, and D. Huang, “Robust stability research for wind energy conservation systems based on T-S fuzzy models,” International Conference on Sustainable Power Generation and Supply (SUPERGEN), pp. 1-4, Apr. 2009.

B. Farid, H. Ihssen, and T. Aziz, "Control the Flywheel Storage System by Fuzzy Logic Associated with the Wind Generator," International Journal of Ren. Energy Res. (IJRER), vol. 2, no. 4, pp. 723-729, 2012.

C. Bhattacharjee, A. K. Roy, and B. K. Roy, “Improvement of available load voltage for a constant speed WECS coupled with fuzzy-controlled DSTATCOM,” 15th IEEE International Conference on Harmonics and Quality of Power z(ICHQP), pp. 637-641, 2012.

A. Boukadoum, B. Taher, and D. I. B. Djalel, ”Fuzzy Logic Control Based Matrix Converter for Improvement Output Current Waveforms of Wind Turbine System,” International Journal of Renewable Energy Research (IJRER), vol. 3, no. 3, pp. 586-591, 2013.

A. M. Eltamaly, H. M. Farh, “Maximum power extraction from wind energy system based on fuzzy logic control,” Electric Power Systems Research, vol. 97, pp. 144-150, 2013.

Zhang, Xizheng, and Y. Wang, “Robust Fuzzy Control for Doubly Fed Wind Power Systems with Variable Speed Based on Variable Structure Control Technique,” Mathematical Problems in Engineering, 2014.

Baloch, Mazhar H., Jie Wang, and Ghulam S. Kaloi. "Stability and nonlinear controller analysis of wind energy conversion system with random wind speed." International Journal of Electrical Power & Energy Systems 79 (2016): 75-83.

Baloch, Mazhar Hussain, Jie Wang, and Ghulam Sarwar Kaloi Dynamic Modeling and Control of Wind Turbine Scheme Based on Cage Generator for Power System Stability Studies. “International Journal of Renewable energy Research, vol 6, No 2. (2016).

Kaloi, G.S., J. Wang, and M.H. Baloch, Active and reactive power control of the doubly fed induction generator based on wind energy conversion system. Energy Reports, 2016. 2: p. 194-200.

Kaloi, G.S., J. Wang, and M.H. Baloch, Dynamic Modeling and Control of DFIG for Wind Energy Conversion System Using Feedback Linearization. J Electr Eng Technol.2016; 11(5): 1137-1146.

arwar Kaloi, G., J. Wang, and M.H. Baloch, Study of stabilty analysis of a grid connected Doubly fed induction generator based on wind energy Application. Indonesian Journal of Electrical Engineering and Computer Science, 2016. 3(2): p. 305-313.

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