Authors

1 Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

2 Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Abstract

The most common controller in wind turbine is the blade pitch angle control in order to get the desired power. Controlling the pitch angle in wind turbines has a direct impact on the dynamic performance of the machine and fluct­uat­io­ns in the power systems. Due to constant changes in wind speed, the wind turbines are of nonlinear and multivariate system. The design of a controller that can adapt itself with the system, at any given time, is of crucial importance. To limit the aerodynamic power gained from the wind turbine in the high wind speed areas, different methods has are applied on pitch angle. In this paper an extensive literature review on pitch angle control technique in wind turbine has been highlighted. Classical and adaptive controllers, structure control, robust control and intelligent control are among the con­trol methods adopted in this study. In comparison of the controllers, although adaptive and robust controllers, with less sensitivity to changes in environmental conditions, outperform the classic controller, the intelligent controller system pre­sents the best performance of the wind turbines through estimating the system variables and appropriate adaptation to cha­nges at the operating point.

Keywords

  1. Li, X., Chau, K.T. and Cheng, M., "Analysis, design and experimental verification of a field-modulated permanent-magnet machine for direct-drive wind turbines", IET Electric Power Applications, Vol. 9, No. 2, (2015), 150-159.
  2. Jafari, A. and Shahgholian, G., "Analysis and simulation of a sliding mode controller for mechanical part of a doubly-fed induction generator based wind turbine", IET Generation, Transmission and Distribution, Vol. 11, No. 10, (2017), 2677-2688.
  3. Tohidi, S., "Analysis and simplified modelling of brushless doubly-fed induction machine in synchronous mode of operation", IET Electric Power Applications, Vol. 10, No. 2, (2016), 110-116.
  4. Hedarpour, F. and Shahgholian, G., "Design and simulation of sliding and fuzzy sliding mode controller in hydro-turbine governing system", Journal of Iranian Dam and Hedroelectric Powerplant, Vol. 4, No. 12, (2017), 10-20.
  5. Pradhan, C. and Bhende, C.N., "Frequency sensitivity analysis of load damping coefficient in wind farm-integrated power system sign in or purchase", IEEE Trans. on Power Systems, Vol. 32, No. 2, (2017), 1016-1029.
  6. Khani, K., Shahgholian, G., Fani, B., Moazzami, M., Mahdavian, M. and Janghorbani, M., "A comparsion of different structures in wind energy conversion systems", Proceeding of the IEEE/ECTICON, (2017), 58-61.
  7. Golshannavaz, S. and Nazarpour, D., "Dynamic stabilization of wind farms deploying static synchronous series compensator", Journal of Renewable Energy and Environment, Vol. 2, No. 2, (2015), 1-8.
  8. Shahgholian, G. and Izadpanahi, N. "Improving the performance of wind turbine equipped with DFIG using STATCOM based on input-output feedback linearization controller", Energy Equipment and Systems, Vol. 4, No. 1, (2016), 63-77.
  9. Hosseini, E. and Shahgholian, G., "Partial- or full-power production in WECS: a survey of control and structural strategies", European Power Electronics and Drives, Vol. 27, No. 3, (2017), 125-142.
  10. Tavoosi, M., Fani, B. and Adib, E., "Stability analysis and control of DFIG based wind turbine using FBC strategy", Journal of Intelligent Procedures in Electrical Technology, Vol. 4,  No. 15, (2013), 31-42.
  11. Shonhiwa, C. and Makaka, G., "Concentrator augmented wind turbines: A review", Renewable and Sustainable Energy Reviews, Vol. 59, (2016), 1415–1418.
  12. Beik, O. and Schofield, N., "High-voltage hybrid generator and conversion system for wind turbine applications", IEEE Trans. on Industrial Electronics, Vol. 65, No. 4, (2018), 3220-3229.
  13. Shahgholian, G., Khani, K. and Moazzami, M., "Frequency control in autanamous microgrid in the presence of DFIG based wind turbine", Journal of Intelligent Procedures in Electrical Technology, Vol. 6, No. 23, (2015), 3-12.
  14. Polikarpova, M., Ponomarev, P., Röyttä, P.,  Semken, S., Alexandrova, Y. and Pyrhönen, J., "Direct liquid cooling for an outer-rotor direct-drive permanent-magnet synchronous generator for wind farm applications", IET Electric Power Applications, Vol. 9, No. 8, (2015), 523-532.
  15. Raeisi Mahdi Abadi P., Vahdati Daneshmand S. and Sharifi R., "Technical note: Development and economical evaluation for wind power plant in-chabahar in sistan and baluchestan province-IRAN", Journal of Renewable Energy and Environment, Vol. 3, No. 1, (2016), 17-24.
  16. Fooladgar, M., Rok-Rok, E., Fani, B. and Shahgholian, G., "Evaluation of the trajectory sensitivity analysis of the DFIG control parameters in response to changes in wind speed and the line impedance connection to the grid DFIG", Journal of Intelligent Procedures in Electrical Technology, Vol. 5, No. 20, (2015), 37-54.
  17. Cheng, F., Qu, L. and Qiao, W., "Fault prognosis and remaining useful life prediction of wind turbine gearboxes using current signal analysis", IEEE Trans. on Sustainable Energy, Vol. 9, No. 1, (2018), 157-167.
  18. Mozafarpoor-Khoshrodi, S.H. and Shahgholian, G., "Improvement of perturb and observe method for maximum power point tracking in wind energy conversion system using fuzzy controller", Energy Equipment and Systems, Vol. 4, No. 2, (2016), 111-122.
  19. Shahgholian, G., Khani, K. and Moazzami, M., "The Impact of DFIG based wind turbines in power system load frequency control with hydro turbine",  Journal of Iranian Dam and Hedroelectric Powerplant, Vol. 1, No. 3, (2015), 38-51.
  20. Johnson, S.J., Larwood, S., McNerney, G. and Van Dam, C.P., "Balancing fatigue damage and turbine performance through innovative pitch control algorithm", Wind Energy, Vol. 15, No. 5, (2012), 665-677.
  21. Faiza, J., Hakimi-Tehrani, A., Shahgholian, G. and Takbash, A.M., "Speed control of wind turbine through pitch control using different control techniques", Journal of Renewable Energy and Environment, Vol. 3, No. 2, (2016), 15-24.
  22. Yang, B., Jiang, L., Wang, L., Yao, W. and Wu, Q.H., "Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine", International Journal of Electrical Power and Energy Systems, Vol. 74, (2016), 429–436.
  23. Smida, M.B. and Sakly, A., "Different conventional strategies of pitch angle control for variable speed wind turbines", Proceeding of the IEEE/STA, (2014), 803-808.
  24. Yousefi, M.R., Shahgholian, G., Etesami, A. and Shafaghi, P., "Small signal modeling and analysis of control speed for two mass resonant system", Proceeding of the IEEE/IPEC, (2010), 1000-1003.
  25. Yang, G. and Hao, Z., "Fuzzy self-adaptive PID control of the variable speed constant frequency variable-pitch wind turbine system", Proceeding of the IEEE/ICSSE, (2014), 124-127.
  26. Mahdavian, M., Shahgholian, G.,  Janghorbani, M., Soltani, B. and  Wattanapongsakorn, N., "Load frequency control in power system with hydro turbine under various conditions", Proceeding of the IEEE/ECTICON, (2015), 1-5.
  27. Faiz, J., Hakimi-Tehrani, A. and Shahgholian, G., "Current control techniques for wind turbines: A review", Journal of Electromotion, Vol. 19, No. 3–4, (2012), 151-168.
  28. Hussein, A.A. and Ali, M.H., "Comparison among series compensators for transient stability enhancement of doubly fed induction generator based variable speed wind turbines", IET Renewable Power Generation, Vol. 10, No. 1, (2016), 116-126.
  29. Corradini, M.L., Ippoliti, G. and Orlando, G., "Fully sensorless robust control of variable-speed wind turbines for effic­ie­ncy maximization", Automatica, Vol. 49, No. 10, (2013), 3023–3031.
  30. Soliman, M., Malik, O.P. and Westwick, D.T., "Multiple model predictive control for wind turbines with doubly fed induction generators", IEEE Trans. on Sustainable Energy, Vol. 2, No. 3, (2011), 215 - 225.
  31. Njiri, J.G. and Söffker, D., "State-of-the-art in wind turbine control: Trends and challenges", Renewable and Sustainable Energy Reviews, Vol. 60, (2016), 377–393.
  32. Boukhezzar, B., Siguerdidjane, H., "Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization", Energy Conversion and Management, Vol. 50, No. 4, (2009), 885–892.
  33. Murdoch, A., Barton, R.S., Winkelman, J.R. and Javid, S.H., "Control design and performance analysis of a 6 MW wind turbine-generator", IEEE Trans. on Power Apparatus and Systems, Vol. 102, No. 5, (1983), 1340-1347.
  34. Kumar, H., Gupta, A., Pachauri, R.K. and Chauhan, Y.K., "PI/FL based blade pitch angle control for wind turbine used in wind energy conversion system", Proceeding of the IEEE/RDCAPE, (2015), 15-20.
  35. Riziotis, V.A., Politis, E.S., Voutsinas, S.G.a and Chaviaropoulos, P.K., "Stability analysis of pitch-regulated, variable-speed wind turbines in closed loop operation using a linear eigenvalue approach", Wind Energy, Vol. 11, No. 5, (2008), 517-535.
  36. Avello, A.J., Al-Hadithi, B.M., Garcia, M.I.G. and Rubio, J.M.L., "Difference equation matrix model (DEMM) for the control of wind turbines", Wind Energy, Vol. 17, No. 1, (2014), 57-74.
  37. Abulanwar, S., Hu, W., Chen, Z. and Iov, F., "Adaptive voltage control strategy for variable-speed wind turbine connected to a weak network", IET Renewable Power Generation, Vol. 10, No. 2, (2016), 238-249.
  38. Alrifai, M. and Zribi, M., "A robust decentralized controller for power system load frequency control", Proceeding of the IEEE/UPEC, Vol. 2, (2004), 794-799.
  39. Viudez-Moreiras, D., Martin, I. and Martin-Sanchez, J.M., "A new pitch angle adaptive control design", Proceeding of the IEEE/ICUAS, (2014), 928-935.
  40. Suganthi, L., Iniyan, S. and Samuel, A.A., "Applications of fuzzy logic in renewable energy systems– A review", Renewable and Sustainable Energy Reviews, Vol. 48, (2015), 585–607.
  41. Macêdo, A.V.A. and Mota, W.S., "Real time simulations of wind turbine with pitch angle control using fuzzy logic", Proceeding of the IEEE/INDUSCON, (2014), 1-7.
  42. Jauch, C., Cronin, T., Sørensen, P. and Jensen, B.B., "A fuzzy logic pitch angle controller for power system stabilization", Wind Energy, Vol. 10, No. 1, (2007), 19-30.
  43. Kong, X., Liu, X. and Lee, K.Y., "Data-driven modelling of a doubly fed induction generator wind turbine system based on neural networks", IET Renewable Power Generation, Vol. 8, No. 8, (2014), 849-857.
  44. Rezaei, V., "Advanced Control of Wind Turbines: Brief Survey, Categorization, and Challenges", Proceeding of the IEEE/ACC, (2015), 3044-3051.
  45. Lio, W.H., Rossiter, J.A. and Jones, B.N., "A review on applications of model predictive control to wind turbines", Proceeding of the IEEE/CONTROL, (2014), 673-678.
  46. Reyes, V., Rodríguez, J.J., Carranza, O. and Ortega, R., "Review of mathematical models of both the power coefficient and the torque coefficient in wind turbines", Proceeding of the IEEE/ISIE, (2015), 1458-1463.
  47. Jiang, Z., Chen, Z., Liu, W. and Wang, X., "A review of individual pitch control for wind turbines", Proceeding of the IEEE/ICIEA, (2016), 399-304.
  48. Galdi, V., Piccolo, A. and Siano, P., "Exploiting maximum energy from variable speed wind power generation systems by using an adaptive Takagi-Sugeno-Kang fuzzy model", Energy Conversion and Management, Vol. 50, No. 2, (2009), 413–421.
  49. Jiang, Z., Karimirad, M. and Moan, T., "Dynamic response analysis of wind turbines under blade pitch system fault, grid loss, and shutdown events", Wind Energy, Vol. 17, No. 9, (2014), 1385–1409.
  50. Kumar, D. and Chatterjee, K., "A review of conventional and advanced MPPT algorithms for wind energy systems", Renewable and Sustainable Energy Reviews, Vol. 55, (2016), 957–970.
  51. Huang, C., Wang, L., Yeung, R.S.C., Zhang, Z., Chung, H.S.H. and Bensoussan, A., "A prediction model-guided jaya algorithm for the PV system maximum power point tracking", IEEE Trans. on Sustainable Energy, Vol. 9, No. 1, (2018), 45-55.
  52. Johnson, K.E., Pao, L.Y., Balas, M.J. and Fingersh, L.J., "Control of variable-speed wind turbines: standard and adaptive tec­h­niques for maximizing energy capture", IEEE Control Systems, Vol. 26, No. 3, (2006), 70–81.
  53. Linus, R.M. and Damodharan, P., "Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems", IET Renewable Power Generation, Vol. 9, No. 6, (2015), 682-689.
  54. Akhmatov, V., "Mechanical excitation of electricity-producing wind turbines at grid faults", Wind Engineering, Vol. 27, No. 4, (2009), 257-272.
  55. De Battista, H., Mantz, R.J., "Dynamical variable structure controller for power regulation of wind energy conversion systems", IEEE Trans. on Energy Conversion, Vol. 19, No. 4, (2004), 756-763.
  56. Muhando, E.B., Senjyu, T., Uehara, A., Funabashi, T. and Kim, C.H., "LQG design for megawatt-class WECS with DFIG based on functional model’s fidelity prerequisites", IEEE Trans. on Energy Conversion, Vol. 24, No. 4, (2009), 893–904.
  57. Hossain, M.K. and Ali, M.H., "Transient stability augmentation of PV/DFIG/SG-based hybrid power system by nonlinear control-based variable resistive FCL", IEEE Trans. on Sustainable Energy, Vol. 6, No. 4, (2015), 1638-1649.
  58. Shahgholian, G., "PID controller design for load-frequncy control in power system with hydro-turbine includes trinsient droop compensation",  Journal of Iranian Dam and Hedroelectric Powerplant, Vol. 2, No. 5, (2015), 50-64.
  59. Astrom, K.J. and Hagglund, T., "The future of PID control", Control Engineering Practice, Vol. 9, No. 11, (2001), 1163-1175.
  60. Shahgholian, G., "Modelling and simulation of low-head hydro turbine for small signal stability analysis in power system", Journal of Renewable Energy and Environment, Vol. 3, No. 3, (2016), 11-20.
  61. Shahgholian, G., "Modeling and simulation of a two-mass resonant system with speed controller", International Journal of Information and Electronics Engineering, Vol. 3, No. 4, (2013), 365-369.
  62. Lotfi-Forushani, M., Karimi, B. and Shahgholian, G., "Optimal PID controller tuning for multivariable aircraft longitudinal autopilot based on particle swarm optimization algorithm", Journal of Intelligent Procedures in Electrical Technology, Vol. 3, No. 9, (2012), 41-50.
  63. Boukhezzar, B., Lupu, L., Siguerdidjane, H. and Hand, M., "Multivariable control strategy for variable speed variable pitch wind turbines", Renewable Energy, Vol. 32, No. 8, (2007), 1273–1287.
  64. Roy, S., "Power output by active pitch-regulated wind turbine in presence of short duration wind variations", IEEE Trans. on Energy Conversion, Vol. 28, No. 4, (2013), 1018–1025.
  65. Bossanyi, E.A., "The design of closed loop controllers for wind turbines", Wind Energy, Vol. 3, No. 3, (2000), 149–163.
  66. Muhando, E.B., Senjyu, T., Uehara, A. and Funabashi, T., "Gain-scheduled H∞ control for WECS via LMI techniques and parametrically dependent feedback Part II: Controller design and implementation", IEEE Trans. on Industrial Electronics, Vol. 58, No. 1, (2011), 57–65.
  67. Hand, M.M., "Variable-speed wind turbine controller systematic design methodology: A comparison of nonlinear and linear model-based designs", National Renewable Energy Laboratory, (1999), Golden, CO, USA.
  68. Iribas-Latour, M. and Landau, I.D., "Identification in closed-loop operation of models for collective pitch robust controller design", Wind Energy, Vol. 16, No. 3, (2013), 383-399.
  69. Lakshmi, K.V. and Srinivas, P., "Fuzzy adaptive PID control of pitch system in variable speed wind turbine", Proceeding of the IEEE/ICICT, (2014), 52–57.
  70. Novak, P., Ekelund, T., Jovik, I. and Schmidtbauer B., "Modeling and control of variable-speed wind turbine drive-system dynamics", IEEE Control System Magazine, Vol. 15, No. 4, (1995), 28-38.
  71. Kong, Y. and Wang, Z., "Modelling and analyzing the hydraulic variable-pitch mechanism for a variable-speed wind turbine", Wind Engineering, Vol. 31, No. 5, (2007), 41-52.
  72. Zheng, W., Minghui, Y., Baozhu, D., Weijie, L. and Lingke, Z., "Nonlinear tracking controller of variable speed wind turbines with the parameter adjusted by fuzzy logic", Proceeding of the IEEE/CCC, (2015), 7934-7938.
  73. Hong, C., Huang, C. and Cheng, F., "Sliding mode control for variable-speed wind turbine generation systems using artificial neural network", Energy Procedia, Vol. 61, (2014), 1626-1629.
  74. Shahgholian, G., Karimi, H. and Mahmoodian, H., "Design a power system stabilizer based on fuzzy sliding mode control theory", International Review on Modelling and Simulations, Vol. 5, No. 5, (2012), 2191-2196.
  75. Valenciaga, F., Puleston, P.F. and Bettaiotto, P.E., "Power control of a solar/wind generation system without wind measurement: A passivity/ sliding mode approach", IEEE Trans. on Energy Conversion, Vol. 18, No. 4, (2003), 501-507.
  76. De Battista, H., Mantz, R.J. and Christiansen, C.F., "Dynamical sliding mode power control of wind driven induction generators", IEEE Trans. on Energy Conversion, Vol. 15, No. 4, (2000), 451-457.
  77. Valenciaga, F. and Fernandez, R.D., "Multiple-input–multiple-output high-order sliding mode control for a permanent magnet synchronous generator wind-based system with grid support capabilities", IET Renewable Power Generation, Vol. 9, No. 8, (2015), 925-934.
  78. Beltran, B., Ahmed-Ali, T. and Benbouzid, M.E.H., "Sliding mode power control of variable speed wind energy Conversion Systems", IEEE Trans. on Energy Conversion, Vol. 23, No. 2, (2008), 551-558.
  79. Liao, K., He, Z., Xu, Y., Chen, G., Dong, Z.Y. and Wong, K.P., "A sliding mode based damping control of DFIG for interarea power oscillations", IEEE Trans. on Sustainable Energy, Vol. 8, No. 1, (2017), 258-267.
  80. Shahgholian, G. and Azimi, Z., "Analysis and design of a DSTATCOM based on sliding mode control strategy for improvement of voltage sag in distribution systems", Electronics, Vol. 5, No. 3, (2016), 1-12.
  81. Yang, M., Bao, X., Jiang, E., Deng, W., Li, J., Wang, L., Ren L.,   and Wang, P.," The pitch angle control of squirrel-cage induction generator wind power generation system using sliding mode control", Procedding of the IEEE/EPE, (2014), 1-10.
  82. Boukhezzar, B. and Siguerdidjane, H., "Nonlinear control of variable speed wind turbines for power regulation", Proceeding of the IEEE/CCA, (2005), 114-119.
  83. Boukhezzar, B., Lupu, L., Siguerdidjane, H. and Hand, M., "Multivariable control strategy for variable speed, variable pitch wind turbines", Renewable Energy, Vol. 32, No. 8, (2007), 1273–1287.
  84. Kalbat, A.,  "Linear quadratic gaussian control of wind turbines", Proceeding of the IEEE/EPECS, (2013), pp. 1-5.
  85. Mahdavian, M., Shahghoiian, G., Saiehi-Ghaiehsefid, S.S., Zareazadeh, A., Jabbari, M. and Bahadory, S., "Optimal control for static synchronous compensator based on LQR approach", Procedding of the IEEE/ECTICON, (2012), 1-4.
  86. Shaked, U. and Soroka, E., "On the stability robustness of the continuous time LQG optimal control", IEEE Trans. on Automatic Control, Vol. 30, No. 10, (1985), 1039-1043.
  87. Ekelund, T., "Speed control of wind turbines in the stall region", Proceeding of the IEEE/CCA, (1994), 227-232.
  88. Johnson, K.E., Fingersh, L.J., Balas, M.J. and Pao, L.Y., "Methods for increasing region 2 power capture on a variable-speed wind turbine", Solar Energy Engineering, Vol. 126, No. 4, (2004), 1092–1100.
  89. Johnson, K.E., Pao, L.Y., Balas, M.J. and Fingersh, L.J., "Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture", IEEE Control System Magazine, Vol. 26, No. 3, (2006), 70–81.
  90. Galdi, V., Piccolo, A. and Siano, P., "Exploiting maximum energy from variable speed wind power generation systems by using an adaptive Takagi-Sugeno-Kang fuzzy model", Energy Conversion and Management, Vol. 50, No. 2, (2009), 413–421.
  91. Guo, Y., Hosseini, S.H., Jiang, J.N. and Tang, C.Y., "Voltage/pitch control for maximization and regulation of active/reactive powers in wind turbines with uncertainties", IET Renewable Power Generation, Vol. 6, No. 2,  (2012), 99-109.
  92. Tang, C.Y., Guo, Y. and Jiang, J.N., "Nonlinear dual-mode control of variable-speed wind turbines with doubly fed induction generators", IEEE Trans. on Control System and Technology, Vol. 19, No. 4, (2011), 744–756.
  93. Chen, W.L. and Hsu, Y.Y., "Unified voltage and pitch angle controller for wind-driven induction generator system", IEEE Trans. on Aerospace and Electronic System, Vol. 44, No. 3, (2008), 913-926.
  94. Vepa, R., "Nonlinear, optimal control of a wind turbine generator", IEEE Trans. on Energy Conversion, Vol. 26, No. 2, (2011), 468-478.
  95. Sakamoto, R., Senjyu, T., Kaneko, T., Urasaki, N., Takagi, T., Sugimoto, S. and Sekine, H., "Output power leveling of wind turbine generator by pitch angle control using H∞ control", Proceeding of the IEEE/PSCE, (2006), 2044-2049.
  96. Chilali, M. and Gahinet, P., "H∞ design with pole placement constraints: an LMI approach", IEEE Trans. on Automatic Control, Vol. 41, No. 3, (1996), 358-367.
  97. Scherer, C., Gahinet, P. and Chilali, M., "Multiobjective output-feedback control via LMI optimization", IEEE Trans. on Automatic Control, Vol. 42, No. 7, (1997), 896-911.
  98. Muhando, E.B., Senjyu, T., Uehara, A. and Funab, T., "Gain-scheduled H∞ control for WECS via LMI techniques and parametrically depe­ndent feedback part I: Model development fundamentals", IEEE Trans. on Industrial Electronics, Vol. 58,  No. 1, (2011), 48–56.
  99. Inthamoussou, F.A., Bianchi, F.D., De Battista, H. and Mantz, R.J., "LPV wind turbine control with anti-windup features covering the complete wind speed range", IEEE Trans. on Energy Conversion, Vol. 29, No. 1, (2014), 259-266.
  100. Chida, Y., Kimura, T. and Furukawa, R., "Robust stability analysis method for vibration systems by using virtual perturbations", Processing of the IEEE/CACSD-CCA, (2006), 1067-1072.
  101. Hirata, M. and Hasegawa, Y., "High bandwidth design of track-following control system of hard disk drive using H∞ control theory", Proceeding of the IEEE/CCA, (2007), 114-117.
  102. Asai, T., Hara, S. and Iwasaki, T., "Simultaneous parametric uncertainty modeling and robust control synthesis by LFT scaling", Automatica, Vol. 36, No. 10, (2000), 1457-1467.
  103. Takaai, H., Chida, Y., Sakurai, K. and Isobe, T., "Pitch Angle Control of Wind Turbine Generator Using Less Conservative Robust Control", Proceeding of the IEEE/CCA, pp. 542–547, July. 2009. (doi. 10.1109/CCA.2009.5281077).
  104. Chiang, M., "A novel pitch control system for a wind turbine driven by a variable-speed pump-controlled hydraulic servo system", Mechatronics, Vol. 21, No. 4, (2011), 753-761.
  105. Clark, D.W., Mohtadi, C. and Tuffs, P.S., "Generalized predictive control-Part I. the basic algorithm", Automatica, Vol. 23, No. 2, (1987), 137-160.
  106. Clarke, D.W., "Self-tuning control of non-minimum phase systems", Automatica, Vol. 20, No. 5, (1984), 501-517.
  107. Senjyu, T., Sakamoto, R., Urasaki, N., Higa, H., Uezato, K. and Funabashi, T., "Output power control of wind turbine generator by pitch angle control using minimum variance control", Electrical Engineering in Japan, Vol. 154, No. 2, (2005), 10-18.
  108. Senjyu, T., Sakamoto, R., Urasaki, N., Funabashi, T., Fujita, H. and Sekine, H., "Output power leveling of wind turbine generator for all operating regions by pitch angle control", IEEE Trans. on Energy Conversion, Vol. 21, No. 2, (2006), 467-475.
  109. Zhang, J., Wang, H., Hou, G. and Zhang, J., "Generalized predictive control for wind turbine systems", Proceeding of the IEEE/ICIEA, (2010), 679-683.
  110. Sakamoto, R., Senjyu, T., Kaneko, T., Urasaki, N., Takagi, T. and Sugimoto, S., "Output power leveling of wind farm using pitch angle control whit fuzzy neural network", Proceeding of the IEE/ISAP, (2006), 1-6.
  111. Dai, J., Hu, Y. and Liu, D., "Modelling and characteristics analysis of the pitch system of large scale wind turbines", Journal of Mechanical Engineering Science, Vol. 225, No. 3, (2011), 558-567.
  112. Hui, Z. and Jiang, H., "The study and simulation of pitch control servo system in mega-watt class wind turbine", Advanced M­a­t­erials Research, Vol. 383-390, (2011), 7316-7320.
  113. Dong, H., Sun, C. and Wei, Z., "The adaptive control of electric pitch servo system", Advanced Materials Research, Vol. 317-319, (2011), 1398-1402.
  114. Dong, H.Y., Wei, Z.H., Zhao, X.G. and Li, X.Q., "Electric pitch control system based on fuzzy control with variable region", Applied Mechanics and Materials, Vol. 229-231, (2012), 2352-2356.
  115. Xiu-xing, Y., Yong-gang, L., Wei, L., Ya-jing, G., Shan, L. and Hong-wei, L., "Study on variable pitch-controlled technology based on electro-hydraulic planetary bevel gear motor", Engineering Science, Vol. 48, No. 2, (2014), 206-213.
  116. Yang, X., Li, J. and Liu, W., "Petri net model and reliability evaluation for wind turbine hydraulic variable pitch systems", Energies, Vol. 4, No. 6, (2011), 978-997.
  117. Dahai, Z., "Improved control of individual blade pitch for wind turbines", Sensors and Actuators A Physical, Vol. 198, No. 15, (2013), 8-14.
  118. Yin, X., Lin, Y., Li, W., Gu, Y., Wang, X., and Lei, P., "Design, modeling and implementation of a novel pitch angle control system for wind turbine", Renewable Energy, Vol. 81, (2015), 599-608.
  119. Calderaro, V., Galdi, V., Piccolo, A. and Siano, P., "A fuzzy controller for maximum energy extraction from variable speed wind power generation systems", Electric Power Systems Research, Vol. 78, No. 6, (2008), 1109–1118.
  120. Simoes, M.G., Bose, B.K. and Spiegel, R.J., "Fuzzy logic based intelligent control of a variable speed cage machine wind generation system", IEEE Trans. on Power Electronics, Vol. 12, No. 1, (1997), 87–95.
  121. Galdi, V., Piccolo, A. and Siano, P., "Designing an adaptive fuzzy controller for maximum wind energy extraction", IEEE Trans. on Energy Conversion, Vol. 28, No. 2, (2008), 559–569.
  122. El-Hawary, M.E., "Fuzzy theory in electric power systems", Wiley-IEEE Press eBook Chapters, (1998), 7–11.
  123. Senjyu, T., Kaneko, T., Yona, A., Urasaki, N., Funabashi, T. and Yamada, F., "Output power control for large wind power penetration in small power system", Proceeding of the IEEE/PES, (2007), 1–7.
  124. Zhang, J., Cheng, M., Chen, Z. and Fu, X., "Pitch angle control for variable speed wind turbines", Proceeding of the IEEE/DRPT, (2008), 2691–2696.
  125. Musyafa, A., Harika, A., Negara, I.M.Y. and Robandi, I., "Pitch angle control of variable low rated speed wind turbine using fuzzy logic controller", International Journal of Engineering and Technology, Vol. 10 No. 5, (2010), 22-25.
  126. Van, T.L., Nguyen, T.H. and Lee, D.C., "Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems", IEEE Trans. on Energy Conversion, Vol. 30, No. 2, (2015), 578-587.
  127. Veeramani, C. and Mohan, G., "A fuzzy based pitch angle control for variable speed wind turbines", International Journal of Engineering and Technology, Vol. 5, No. 2, (2013), 1699–1703.
  128. Duong, M.Q., Grimaccia, F., Leva, S., Mussetta, M. and  Le, K.H., "Hybrid controller for transient stability in wind generators", Proceeding of the IEEE/PSC, (2015), 1-7.
  129. Macedo, A.V.A. and Mota, W.S., "Wind turbine pitch angle control using fuzzy logic", Proceeding of the IEEE/PES, (2012), 1-6.
  130. Kamel, R.M., Chaouachi, A. and Nagasaka, K., "Enhancement of micro-grid performance during islanding mode using storage batteries and new fuzzy logic pitch angle controller", Energy Conversion and Management, Vol. 52, No. 5, (2011), 2204-2216.
  131. Lin, F.J., Lu, K.C., Ke, T.H., Yang, B.H. and Chang, Y.R., "Reactive power control of three-phase grid-connected PV system during grid faults using Takagi–Sugeno–Kang probabilistic fuzzy neural network control", IEEE Trans. on Industrial Electronics, Vol. 62, No. 9, (2015), 5516-5528.
  132. Hung, Y.C., Lin, F.J., Hwang, J.C., Chang, J.K. and Ruan, K.C., " Wavelet fuzzy neural network with asymmetric membership function controller for electric power steering system via improved differential evolution", IEEE Trans. on Power Electronics, Vol. 30, No. 4, (2015), 2350-2362.
  133. Silva, C.D.L., Junior, G.C., Mariotto, L. and Marchesan, G., "Phasor estimation in power systems using a neural network with online training for numerical relays purposes", IET Science, Measurement and Technology, Vol. 9, No. 7, (2015), 836-841.
  134. Anbazhagan, S. and Kumarappan, N., "Day-ahead deregulated electricity market price forecasting using recurrent neural network", IEEE Systems Journal, Vol. 7, No. 4, (2013), 866-872.
  135. Kasabov, N.K., "Foundation of neural networks, fuzzy systems and knowledge engineering", IEEE Trans. on Neural Networks, Vol. 8, No. 5, (1998), 1219-1219.
  136. Bin, Q., Pengcheng, L., Xin, W. and Wanli, Z., "Pitch angle control based on renforcement learning", Proceeding of the IEEE/CCDC, (2014), 18-21.
  137. Ting, W., Heng, W. and Hao-fei, X., "Networked synchronization control method by the combination of RBF neural network and genetic algorithm", Proceeding of the IEEE/ICCAE, Vol. 3, (2010), 9-12.
  138. Wan, S., Li, H. and Li, Y., "Adaptive radial basis function network and its application in turbine-generator vibration fault diagnosis", Proceeding of the Power System Technology, (2002), 1607-1610.
  139. Yilmaz, A.S. and Özer, Z., "Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks", Expert System and Application, Vol. 36, No. 6, (2009), 9767-9775.
  140. Lin, W., Hong, C., Ou, T. and Chiu, T., "Hybrid intelligent control of PMSG wind generation system using pitch angle control with RBFN", Energy Conversion and Management, Vol. 52, No. 2, (2011), 1244–1251.
  141. Aldair, M.D., "Pitch angle control design of wind turbine using fuzzy-art network", Journal of Engineering and Development, Vol. 18, No.4, (2014), 39-51.
  142. Wu, F., Zhang, X.P., Godferey, K. and Ju, P., "Small signal stability analysis and optimal control of a wind turbine with doubly fed induction generator", IET Generation, Transmission and Distribution, Vol. 1, No. 5, (2007), 751–760.
  143. Yang, L.H., Xu, Z., Østergaard, J., Dong, Z.Y., Wong, K.P. and Ma, X., "Oscillatory stability and eigenvalue sensitivity analysis of a DFIG wind turbine system", IEEE Trans. on Energy Conversion, Vol. 26, No. 1, (2011), 328–339.
  144. Huang, H., Chung, C.Y., "Coordinated damping control design for DFIG-based wind generation considering power output variation", IEEE Trans. on Power System, Vol. 27, No. 4, (2012), 1916–1925.
  145. Hansen, A.D., Sørensen, P., Iov, F., and Blaabjerg, F., "Control of variable speed wind turbines with doubly-fed induction generators", Wind Energy, Vol. 28, No. 4, (2004), 411–434.
  146. Chowdhury, M.A., Shen, W., Hosseinzadeh, N. and Pota, H.R., "Transient stability of power system integrated with doubly fed induction generator wind farms", IET Renewable Power Generation, Vol. 9, No. 2, (2015).
  147. Muyeen, S.M., Ali, M.H., Takahashi, R. and Email, T., "Comparative study on transient stability analysis of wind turbine generator system using different drive train models", IET Renewable Power Generation, Vol. 1, No. 2, (2007), 131 – 141.
  148. Tang, Y., Ping, J., Haibo, H., Chuan, Q. and Feng, W. "Optimized control of DFIG-based wind generation using sensitivity analysis and particle swarm optimization", IEEE Trans. on Smart Grid, Vol. 4, No. 1, (2013), 509-520.