Skip to main content

Advertisement

SpringerLink
Log in

Recent Trends of Control Strategies for Doubly Fed Induction Generator Based Wind Turbine Systems: A Comparative Review

  • Original Paper
  • Published:
Archives of Computational Methods in Engineering Aims and scope Submit manuscript

Abstract

There is always, a strong expectation from wind generation system to harness maximum power as well as to have good interaction with the grid. To satisfy the increasing need of power, use of a wind generation system with enhanced control is a nifty result. The wind power generation system needs a more sophisticated, novel and robust control methodology to cater the stability and efficiency improvement. The researchers are always working on the challenges present in the wind energy conversion scheme to improve its operation. This review paper provides a survey of wind turbine control system practices and controller trends specific to doubly fed-induction generator. This work will be helpful in experimental research work. Most recent and current trends like soft computing techniques and fractional order control with real time implementation are discussed as they are gaining the attention of the research community.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Source JRC wind energy database 2016)

Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. International Energy Agency (2017) World energy outlook: Chapter 1—Introduction and scope, IEA Paris. pp 32–62

  2. Global Wind Statistics 2017 (2018) http://gwec.net. Accessed 15 Jan 2018

  3. Installed Capacity in India 2017 (2019) http://www.cea.nic.in. Accessed 15 Jan 2019

  4. Ministry of New and Renewable Energy (2019) http://mnre.gov.in. Accessed 15 Jan 2019

  5. Nguyen HM, Naidu DS (2011) Advanced control strategies for wind energy systems : an overview. In: 2011 IEEE PES power systems conference and exposition, Phoenix, Arizona. pp 1–8

  6. Baloch MH, Wang J, Kaloi GS (2017) A review of the state of the art control techniques for wind energy conversion system. Int J Renew Energy Res 6(4):1276–1295

    Google Scholar 

  7. Vazquez Hernandez C, Telsnig T, Villalba Pradas A (2017) JRC Wind Energy Status Report - 2016 Edition. EUR 28530 EN. Publications Office of the European Union, Luxembourg. https://doi.org/10.2760/332535

  8. Chang L (2002) Wind energy conversion systems. IEEE Canadian Review, pp 12–16

  9. Shanker T, Singh R (2012) Wind energy conversion system : a review. In: 2012 Students conference on engineering and systems, Allahabad, Uttar Pradesh, pp 1–6. https://doi.org/10.1109/SCES.2012.6199039

  10. Vasipalli V (2015) Power quality improvement in DFIG system with matrix converter in wind energy generation with space vector control techniques. In: 2015 IEEE international conference on technological advancements in power and energy, Kollam pp 73–78

  11. Khajeh A, Ghazi R, Abardeh MH, Sadegh MO (2018) Evaluation of synchronization and MPPT algorithms in a DFIG wind turbine controlled by an indirect matrix converter. Int J Power Electron Drive Syst 9(2):784–794

    Google Scholar 

  12. Goudarzi WDZN (2013) A review on the development of wind turbine generators across the world. Int J Dyn Control 1(1):192–202

    MathSciNet  Google Scholar 

  13. Grid Code. (2019) High and extra high voltage. http://www.eon-netz.com. Accessed  20 Feb 2019

  14. Iov F et al (2006) Grid code compliance of grid-side converter in wind turbine systems. In: 2006 37th IEEE power electronics specialists conference, Jeju. pp 1–7. IEEE. https://doi.org/10.1109/pesc.2006.1711744

  15. Müller S, Deicke M, De Doncker RW (2002) Doubly fed induction generator systems for wind turbines. IEEE Ind Appl Mag 8(3):26–33

    Google Scholar 

  16. Golnary F, Moradi H (2019) Dynamic modelling and design of various robust sliding mode controls for the wind turbine with estimation of wind speed. Appl Math Model 65:566–585

    MathSciNet  MATH  Google Scholar 

  17. Babu NR, Arulmozhivarman P (2013) Wind energy conversion systems-a technical review. J Eng Sci Technol 8(4):493–507

    Google Scholar 

  18. Hosseinabadi M, Rastegar H (2014) DFIG based wind turbines behavior improvement during wind variations using fractional order control systems. Iran J Electr Electron Eng 10(4):314–323

    Google Scholar 

  19. Thakur A (2017) A comprehensive review on wind energy system for electric power generation: current situation and improved technologies to realize future development. IntJ Renew Energy Res 7(4):1876–1805

    Google Scholar 

  20. Cárdenas R, Peña R, Alepuz, Asher G (2013) Overview of control systems for the operation of DFIGs in wind energy applications. IEEE Trans Ind Electron 60(7):2776–2798

    Google Scholar 

  21. Esmaeeli MR, Kianinezhad R, Razzaz M (2012) Field oriented control of DFIG in wind energy conversion systems. J Basic Appl Sci Research 2(11):11486–11493

    Google Scholar 

  22. Ihedrane Y, El Bekkali C (2017) Direct and indirect field oriented control of DFIG-Generators for wind turbines. In 14th international multi-conference on systems, signals and devices (SSD), pp 27–32. IEEE

  23. Djilali L,Sanchez EN (2017) Neural sliding mode field oriented control for DFIG based wind turbine. In: 2017 IEEE international conference on systems, man, and cybernetics, pp 2087–2092. IEEE

  24. Djilali L, Sanchez EN, Belkheiri M (2018) Real-time implementation of sliding-mode field-oriented control for a DFIG-based wind turbine. Int Trans Electr Energy Syst 28(5):1–16

    Google Scholar 

  25. Touaiti B, Moujahed M, Ben Azza H, Jemli M (2018) Fault-tolerant VSI for stand-alone DFIG feeding an isolated DC load. Int J Electron 105(10):1769–1784

    Google Scholar 

  26. Naveen G, Sarvesh PKS, Krishna BR (2013) DTC control strategy for doubly fed induction machine. Int J Eng Adv Technol 3(1):2011–2014

    Google Scholar 

  27. Gundavarapu A, Misra H, Jain AK (2017) Direct torque control scheme for DC voltage regulation of the standalone DFIG-DC system. IEEE Trans Ind Electron 64(5):3502–3512

    Google Scholar 

  28. Boudjema Z, Taleb R, Djeriri Y, Yahdou A (2017) A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system. Turk J Electr Eng Comput Sci 25:965–975

    Google Scholar 

  29. Ayrir W, Ourahou M, El Hassouni B, Haddi A (2018) Direct torque control improvement of a variable speed DFIG based on a fuzzy inference system. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2018.05.014

    Article  Google Scholar 

  30. El N, Motahhir S, Derouich A, El A, Chebabhi A, Taoussi M (2019) Improved DTC strategy of doubly fed induction motor using fuzzy logic controller. Energy Rep 5:271–279

    Google Scholar 

  31. Amrane F, Chaiba A (2016) A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control. Rev Roum Sci Technol Electrtechn Energ 61(3):263–268

    Google Scholar 

  32. Abad G, Angel M (2010) Direct power control of doubly-fed-induction-generator-based wind turbines under unbalanced grid voltage. IEEE Trans Power Electron 25(2):442–452

    Google Scholar 

  33. Nazari A, Heydari H (2012) Direct power control topologies for DFIG-based wind plants. Int J Comput Electr Eng 4(4):2–6

    Google Scholar 

  34. Bourdoulis MK,  Alexandridis AT (2014) Direct power control of DFIG wind systems based on nonlinear modeling and analysis. IEEE J Emerg Sel Top power Electron 2(4):764–775

    Google Scholar 

  35. Zhang Y, Xu D (2017) Direct power control of doubly fed induction generator based on extended power theory under unbalanced grid condition. In: 2017 IEEE international future energy electronics conference (IFEEC 2017—ECCE Asia) no 3, pp 992–996

  36. Errouissi R, Al-durra A,  Muyeen SM (2017) Offset-free direct power control of DFIG under continuous-time model predictive control. IEEE Trans on Power Electronics 32(3):2265–2277

    Google Scholar 

  37. Mazouz F, Belkacem S, Harbouche Y, Abdessemed R, Ouchen S (2017) Active and reactive power control of a DFIG for variable speed wind energy conversion. In: The 6th International conference on systems and control, Batna, Algeria. pp 27–32

  38. Xiong L, Wang J, Mi X, Khan W (2017) Fractional order sliding mode based direct power control of grid-connected DFIG. IEEE Trans Power Syst 33(3):3087–3096

    Google Scholar 

  39. Ozsoy EE (2016) Modeling and control of a doubly fed induction generator with a disturbance observer: a stator voltage oriented approach. Turk J Elec Eng Comp Sci 24:961–972

    Google Scholar 

  40. Li S, Wang H, Tian Y, Christov N, Aitouche A (2014) NNPID-based stator voltage oriented vector control for DFIG based wind turbine systems. Stud Inform Control 23(1):5–12

    Google Scholar 

  41. Deodatta S (2015) Stability of DFIG stator voltage oriented control design based on internal model control. In: 2015 IEEE International conference on signal processing informatics, communication energy systems, Kozhikode, pp 1–5. https://doi.org/10.1109/SPICES.2015.7091542

  42. Subudhi B, Ogeti PS (2018) Optimal preview stator voltage-oriented control of DFIG WECS. IET Gener Transm Distrib 12(4):1004–1013

    Google Scholar 

  43. Shukla RD, Tripathi RK (2012) Maximum power extraction schemes and power control in wind energy conversion system. Int J Sci Eng Res 3(6):1–7

    Google Scholar 

  44. Linus RM, Damodharan P (2015) Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems. IET Renew Power Gener 9(6):682–689

    Google Scholar 

  45. Xia Y, Ahmed KH, Williams BW (2013) Wind turbine power coefficient analysis of a new maximum power point tracking technique. IEEE Trans Ind Electron 60(3):1122–1132

    Google Scholar 

  46. Dida A (2015) Fuzzy logic based sensorless MPPT algorithm for wind turbine system driven DFIG. In: 3rd International conference on control, engineering information technology (CEIT) Tlemcen, pp 1–6. IEEE

  47. Song D, Yang J, Su M, Liu A, Liu Y, Joo YH (2017) A comparison study between two MPPT control methods for a large variable-speed wind turbine under different wind speed characteristics. Energies 10(613):1–18

    Google Scholar 

  48. Kadri A, Marzougui H, Bacha F (2016) MPPT control methods in wind energy conversion system using DFIG. In: 4th international conference on control engineering & information technology (CElT-2016) Tunisia, vol 1:1–6

  49. Geethanjali M, Sitharthan R (2014) ANFIS based wind speed sensor-less MPPT controller for variable speed wind energy conversion systems. Australian J Basic Appl Sci 8(18):14–23

    Google Scholar 

  50. Mali SS, Kushare BE (2013) MPPT algorithms: extracting maximum power from wind turbines. Int J Innov Res Electr Electron Instrum Control Eng 1(5):199–202

    Google Scholar 

  51. Hafiane M, Sabor J, Taleb M (2017) Optimal speed control based on adaptive second order sliding mode and modified HSC MPPT algorithm for wind turbines. ARPN J Eng Appl Sci 12(21):5891–5902

    Google Scholar 

  52. Babouri R, Aouzellag D, Ghedamsi K (2013) Integration of doubly fed induction generator entirely interfaced with network in a wind energy conversion system. Energy Proced 36:169–178

    Google Scholar 

  53. Khan MJ, Mathew L (2018) Comparative study of optimization techniques for renewable energy system. Arch Comput Methods Eng. https://doi.org/10.1007/s11831-018-09306-8

    Article  Google Scholar 

  54. Khan MJ, Mathew L (2018) Comparative analysis of maximum power point tracking controller for wind energy system. Int J Electronics 105(9):1535–1550

    Google Scholar 

  55. Uddin MN, Amin IK (2019) Adaptive step size based hill-climb search algorithm for MPPT control of DFIG-WECS with reduced power fluctuation and improved tracking performance. Electr Power Compon Syst 46(19–20):2203–2214

    Google Scholar 

  56. Kumar D, Chatterjee K (2016) A review of conventional and advanced MPPT algorithms for wind energy systems. Renew Sustain Energy Rev 55:957–970

    Google Scholar 

  57. Thongam JS, Ouhrouche M (2011) MPPT Control Methods in Wind Energy Conversion Systems. In: Fundamental and advanced topics in wind power. InTech. pp 339–360

  58. Sachan A, Gupta AK, Samuel P (2017) A review of MPPT algorithms employed in wind energy conversion systems. J Green Eng 6(4):385–402

    Google Scholar 

  59. Mirzaei M, Tibaldi c, Hansen MH (2016) PI controller design of a wind turbine : evaluation of the pole-placement method and tuning using constrained optimization. In: Journal of Physics: Conference Series 753(5). IOP Publishing

  60. Rocha R, Coutinho GA (2010) Multivariable H2 and H∞ control for wind energy conversion system—a comparison. J Braz Soc Mech Sci Eng 32(4):510–518

    Google Scholar 

  61. Rezazadeh A, Sedighizadeh M (2010) A modified adaptive wavelet PID control based on reinforcement learning for wind energy conversion system control. Adv Electr Comput Eng 10(2):153–159

    Google Scholar 

  62. Ahmad T, Littler T, Naeem W (2016) Investigating the effect of PID controller on inertial response in doubly fed induction generator (DFIG). In: UKACC 11th international conference on control (CONTROL) IEEE. https://doi.org/10.1109/control.2016.7737562

  63. Guo R, Du J, Wu J, Liu Y (2013) The pitch control algorithm of wind turbine based on fuzzy control and PID control. Energy Power Eng 5:6–10

    Google Scholar 

  64. Ponce P, Ponce H, Molina A (2018) Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks. Soft Comput 22(9):2867–2879

    Google Scholar 

  65. Nabisha A, Joseph XF, Ganesan (2017) Enrichment of power quality using PID-intelligence controller with D-STATCOM in wind energy conversion system. Int J Appl Eng Res 12(8):1712–1718

    Google Scholar 

  66. Heidari M (2017) Intelligent control for the variable-speed variable-pitch wind energy system. Iran J Electr Electron Eng 13(3):278–286

    Google Scholar 

  67. Bekakra Y, Ben D (2011) Active and reactive power control of a dfig with mppt for variable speed wind energy conversion using sliding mode control. Int J Electr Comput Eng 5(12):1543–1549

    Google Scholar 

  68. Fateh F, White WN, Gruenbacher D (2015) A maximum power tracking technique for grid-connected DFIG-based wind turbines. IEEE J Emerg Sel Top Power Electron 3(4):957–966

    Google Scholar 

  69. Merabet A, Ahmed KT, Ibrahim H (2016) Implementation of sliding mode control system for generator and grid sides control of wind energy conversion system. IEEE Trans Sustain Energy 7(3):1327–1335

    Google Scholar 

  70. Tohidi A, Hajieghrary H, Hsieh MA (2015) Adaptive disturbance rejection control scheme for DFIG-based wind turbine. In: 2015 IEEE industry applications society annual meeting, Addison, TX, pp 1–8. https://doi.org/10.1109/ias.2015.7356797

  71. Rajendran S, Jena D (2015) Backstepping sliding mode control of a variable speed wind turbine for power optimization. J Mod Power Syst Clean Energy 3(3):402–410

    Google Scholar 

  72. TON DUC DO Disturbance observer-based fuzzy SMC of WECSs without wind speed measurement. IEEE Access 5: pp 147–155

  73. Jing Y, Sun H, Zhang L, Zhang T (2017) Variable speed control of wind turbines based on the quasi-continuous high-order sliding mode control. Energies 10(1626):1–21

    Google Scholar 

  74. Bounadja E, Djahbar A, Taleb R, Boudjema Z (2017) A new adjustable gains for second order sliding mode control of saturated DFIG-based wind turbine. API Conf Proc 1814:1–14

    Google Scholar 

  75. Abdelbaset A, El-Sayed A-HM, Abozeid AEH (2017) Grid synchronisation enhancement of a wind driven DFIG using adaptive sliding mode control. IET Renew Power Gener 11(5):688–695

    Google Scholar 

  76. Benbouhenni H, Maurice O (2018) Fuzzy second order sliding mode controller based on three-level fuzzy space vector modulation of a DFIG for wind energy conversion systems. Majl J Mechatron Syst 7(3):17–26

    Google Scholar 

  77. Filho AS, de Filho MO (2011) A predictive power control for wind energy. IEEE Trans Sustain Energy 2(1):97–105

    Google Scholar 

  78. Guo J, Liu X, Wei W (2015) Active power optimal control of wind turbines with doubly fed inductive generators based on model predictive control. MATEC Web Conf 4:1–6

    Google Scholar 

  79. Chikha S, Barra K (2016) Predictive control of variable speed wind energy conversion system with multi objective criterions. Period Polytech Electr Eng Comput Sci 60(2):96–106

    Google Scholar 

  80. Kou P, Liang D, Li J, Gao L, Ze Q (2018) Finite-control-set model predictive control for DFIG wind turbines. IEEE Trans Autom Sci Eng 15(3):1004–1013

    Google Scholar 

  81. Bedoud K, Ali-Rachedi M, Bahi T, Lakel R, Grid A (2015) Robust control of doubly fed induction generator for wind turbine under sub-synchronous operation mode. Energy Procedia 74:886–899

    Google Scholar 

  82. Meng W, Yang Q, Sun Y (2016) Guaranteed performance control of DFIG variable-speed wind turbines. IEEE Trans Control Syst Technol 24(6):2215–2223

    Google Scholar 

  83. Tang Y, Ju P, He H, Qin C, Wu F (2015) Optimized control of DFIG-based wind generation using sensitivity analysis and particle swarm optimization. IEEE Trans Smart Grid 4(1):509–520

    Google Scholar 

  84. Evangelin Jeba V, Ravichandran S, Kumudini Devi RP (2013) Optimal control of grid connected variable speed wind energy conversion system. In: 2013 International conference on energy efficient technologies for sustainability. Nagercoil, pp 393–399

  85. Aghdam HN, Allahbakhsh F (2014) Optimal controller for wind energy conversion systems. Sustain Energy 2(2):57–62

    Google Scholar 

  86. Kerboua A, Abid M (2015) Hybrid fuzzy sliding mode control of a doubly-fed induction generator speed in wind turbines. J Power Technol 95(2):126–133

    Google Scholar 

  87. Behera S, Subudhi B, Pati BB (2016) Design of PI controller in pitch control of wind turbine: a comparison of PSO and PS algorithm. Int J Renew Energy Res 6(1):271–281

    Google Scholar 

  88. Bharti OP (2017) Controller design of DFIG based wind turbine by using evolutionary soft computational techniques. Eng Technol Appl Sci Res 7(3):1732–1736

    Google Scholar 

  89. Zemmit A, Messalti S, Harrag A (2016) A new improved DTC of doubly fed induction machine using GA-based PI controller. Ain Shams Engineering Journal. pp 1–8

  90. Kazemi Golkhandan R, Aghaebrahimi M, Farshad M (2017) Control strategies for enhancing frequency stability by DFIGs in a power system with high percentage of wind power penetration. Appl Sci 7(1140):1–15

    Google Scholar 

  91. Hosseini E, Shahgholian G (2018) Output power levelling for DFIG wind turbine system using intelligent pitch angle control. Automatika 58(4):363–374

    Google Scholar 

  92. Podlubny I (1999) Fractional differential equations. Academic Press, Cambridge

    MATH  Google Scholar 

  93. Miller KS, Ross B (1993) An introduction to the fractional calculus and fractional differential equations. Wiley, Hoboken

    MATH  Google Scholar 

  94. Ghasemi S, Tabesh A (2014) Application of fractional calculus theory to robust controller design for wind turbine generators. IEEE Trans Energy Convers 29(3):780–787

    Google Scholar 

  95. Cao DI, Fei J (2016) Adaptive fractional fuzzy sliding mode control for three-phase active power filter. IEEE Access 4:6645–6651

    Google Scholar 

  96. Ullah N, Ali MA, Ibeas A, Herrera J (2017) Adaptive fractional order terminal sliding mode control of doubly fed induction generator based wind energy system. IEEE Access 5:21368–21381

    Google Scholar 

  97. Liu N, Fei J (2017) Adaptive fractional sliding mode control of active power filter based on dual RBF neural networks. IEEE Access 5:27590–27598

    Google Scholar 

  98. Xiong L, Wang J, Mi X, Khan MW (2017) Fractional order sliding mode based direct power control of grid-connected DFIG. IEEE Trans Power Syst 33(3):3087–3096

    Google Scholar 

  99. Mahvash H, Abbas S, Rahimi M, Shahidehpour M (2019) Enhancement of DFIG performance at high wind speed using fractional order PI controller in pitch compensation loop. Electr Power Energy Syst 104:259–268

    Google Scholar 

  100. Srivastava A (2009) Applications of real time digital simulator in power system education and research. In: 116th Annual conference and exposition american society for engineering education, 2009. pp 14.226.1–14.226.10

  101. Kotsampopoulos PC, Kleftakis VA, Hatziargyriou ND (2017) Laboratory education of modern power. IEEE Trans Power Syst 32(5):3292–4001

    Google Scholar 

  102. Bélanger J, Venne P (2010) The what, where and why of real-time simulation. PES Gen Meet 2010:37–49

    Google Scholar 

  103. Guillaud X, Teninge A, Hasan ALI, Vanfretti L, Paolone M (2015) Applications of real-time simulation technologies in power and energy systems. IEEE Power Energy Technol Syst J 2(3):103–115

    Google Scholar 

  104. Caraiman G, Nichita C (2013) HILS systems applied to real time emulation for wind energy study. In: IECON 2013-39th annual conference of the IEEE industrial electronics society, Vienna. pp 7675–7680.  IEEE

  105. Tanvir AA, Merabet A, Beguenane R (2015) Real-time control of active and reactive power for doubly fed induction generator (DFIG)-based wind energy conversion system. Energies 8(9):10389–10408

    Google Scholar 

  106. Amrane F, Chaiba A, Francois B, Babes B (2017) Real time implementation of grid-connection control using robust PLL for WECS in variable speed DFIG-based on HCC. In: The 5th international confernce on electrical engineering-Boumerdes (ICEE-B). IEEE, pp 1–5

  107. Bouchiba N, Barkia A, Chrifi-alaoui L, Sallem S (2017) Real-time integration of control strategies for an isolated DFIG-based WECS. Eur Phys J Plus 132(8):1–11

    Google Scholar 

  108. Luo K, Shi W, Tang H (2017) Implementation and value of power hardware in the loop testing bed for wind turbines integrated into grid. J Eng 2017(13):1635–1639

    Google Scholar 

  109. Ofoli AR, Altimania MR (2017) Real-time digital simulator testbed using eMEGASim® for wind power plants. In: 2017 IEEE industry applications society annual meeting Cincinnati, OH. IEEE, pp. 1–9. https://doi.org/10.1109/IAS.2017.8101747

  110. Baggu MM, Chowdhury BH, Imball JW (2015) Comparison of advanced control techniques for grid side converter of doubly-fed induction generator back-to-back converters to improve power quality performance during unbalanced voltage dips. IEEE J Emerg Sel Top Power Electron 3(2):516–524

    Google Scholar 

  111. Ravanji MH, Parniani M (2017) Stability assessment of DFIG-based wind turbines equipped with modified virtual inertial controller under variable wind speed conditions. In: IECON 2017—43rd annual conference of the IEEE industrial electronics society. IEEE, pp 2695–2700

  112. Ghosh S, Kamalasadan S (2017) An energy function-based optimal control strategy for output stabilization of integrated DFIG-flywheel energy storage system. IEEE Trans Smart Grid 8(4):1922–1931

    Google Scholar 

  113. Marques GD, Iacchetti MF (2017) Sensorless frequency and voltage control in the stand-alone DFIG-DC system. IEEE Trans Ind Electron 64(3):1949–1957

    Google Scholar 

  114. Han Y, Ma R, Pan W, Xu L (2017) Maximum power point tracking of DFIG wind turbine system based on adaptive higher order sliding mode. In: 2017 Chinese automation congress (CAC, 2017). IEEE, pp 2446–2451

  115. Qin B, Sun H (2018) State dependent riccati equation based rotor-side converter control for doubly fed wind generator. IEEE Access 6:27853–27863

    Google Scholar 

  116. Singh N, Pratap B, Swarup A (2018) Robust control design of variable speed wind turbine using quantitative feedback theory. Proc Insti Mech Eng Part A J Power Energy 232(6):691–705

    Google Scholar 

  117. Aouani N, Salhi S, Garcia G, Ksouri M (2017) Robust control strategy for a wind energy conversion system. Int J Comput Appl Technol 55(3):191–201

    Google Scholar 

  118. Boubzizi S, Abid H, El A, Chaabane M (2018) Comparative study of three types of controllers for DFIG in wind energy conversion system. Prot Control Mod Power Syst 3(1):21

    Google Scholar 

  119. Surendar S, Priya E (2016) An optimal method for sensorless control of DFIG based WECS using PSO. Ind J Sci Technol 9(S1):1–6

    Google Scholar 

  120. Ali M, Bharath KVS, Singh R, Gupta A, Swarup S (2017) Intelligent pitch angle control for wind-doubly fed induction generator system. In: 2016 7th India international conference on power electronics (IICPE) Patiala. pp1–5. https://doi.org/10.1109/IICPE.2016.8079334

  121. Uthra R, Anitha D (2018) Dynamic control of DFIG based wind energy conversion system using fuzzy controller. Int J Pure Appl Math 118(19):2669–2682

    Google Scholar 

  122. Harshavardhan M, Rajesh K (2016) Modelling and simulation of grid side control of DFIG using fuzzy and PI. Int J Comput Sci Mob Comput 5(8):123–130

    Google Scholar 

  123. Ayrir W, Ourahou M, Haddi A (2018) DFIG stator reactive and active power control based fuzzy logic. Int J Circuits Syst Signal Process 12:262–267

    Google Scholar 

  124. Rathaiah M, Reddy PRKK, Sujatha P (2018) Adaptive fuzzy controller design for DFIG based wind energy conversion system. Int J Pure Appl Math 118(20):441–448

    Google Scholar 

  125. Elkhadiri S, Elmenzhi PL, Haddi PA, Lyhyaoui PA (2017) Control of a doubly-fed induction generator for wind energy by ANN. In: International conference on automation, control engineering and computer science (ACECS) proceedings of engineering and technology—PET. pp 96–101. IPCO

  126. Hameed AF, Jalal KA (2017) Performance enhancement of a wind power system based on bee colony optimization approach. Int J Curr Eng Technol 7(6):2070–2078

    Google Scholar 

  127. El Mjabber E, El Hajjaji A, Khamlichi A (2016) An adaptive control for a variable speed wind turbine using RBF neural network. MATEC Web Conf 83:1–4

    Google Scholar 

  128. Chakib M, Essadki A, Nasser T (2018) A comparative study of PI, RST and ADRC control strategies of a doubly fed induction generator based wind energy conversion system. Int J Renew Energy Res 8(2):964–973

    Google Scholar 

  129. Ren H, Zhang H, Deng G, Hou B (2018) Feedforward feedback pitch control for wind turbine based on feedback linearization with sliding mode and fuzzy. Math Probl Eng 2018:1–13

    MathSciNet  MATH  Google Scholar 

  130. Merabet A, Eshaft H, Tanvir AA (2018) Power-current controller based sliding mode control for DFIG-wind energy conversion system. IET Gener Transm Distrib 12(10):1155–1163

    Google Scholar 

  131. Benkahla M, Taleb R, Boudjema Z (2016) Comparative study of robust control strategies for a DFIG-based wind turbine. Int J Adv Comput Sci Appl 7(2):455–462

    Google Scholar 

  132. Kamel O, Mohand O, Toufik R, Taib N (2015) Nonlinear predictive control of wind energy conversion system using DFIG with aerodynamic torque observer. J Electr Eng 65(6):333–341

    Google Scholar 

  133. Yan S, Zhang A, Zhang H, Wang J, Cai B (2017) Optimized and coordinated model predictive control scheme for DFIGs with DC-based converter system. J Mod Power Syst Clean Energy 5(4):620–630

    Google Scholar 

  134. Yang X (2017) A predictive power control strategy for DFIGs based on a wind energy converter system. Energies 10(1098):1–24

    Google Scholar 

  135. Kim J, Muljadi E, Park J, Kang YC (2017) Flexible I Q–V scheme of a DFIG for rapid voltage regulation of a wind power plant. IEEE Trans Ind Electron 64(11):8832–8842

    Google Scholar 

  136. Lin X, Xiahou K, Liu Y, Wu Q (2018) Design and hardware-in-the-loop experiment of multiloop adaptive control for DFIG-WT. IEEE Trans Ind Electron 65(9):7049–7059

    Google Scholar 

  137. Aounallah T, Essounbouli N, Hamzaoui A, Bouchafaa F (2018) Algorithm on fuzzy adaptive backstepping control of fractional order for doubly-fed induction generators. IET Renew Power Gener 12(8):962–967

    Google Scholar 

  138. Mahvash H, Taher SA, Rahimi M, Shahidehpour M (2018) DFIG performance improvement in grid connected mode by using fractional order [PI] controller. Int J Electr Power Energy Syst 96:398–411

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, NITTTR Chandigarh, Sector – 26, Chandigarh, 160019, India

    Shivaji Karad & Ritula Thakur

Authors
  1. Shivaji Karad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ritula Thakur
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shivaji Karad.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karad, S., Thakur, R. Recent Trends of Control Strategies for Doubly Fed Induction Generator Based Wind Turbine Systems: A Comparative Review. Arch Computat Methods Eng 28, 15–29 (2021). https://doi.org/10.1007/s11831-019-09367-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11831-019-09367-3

Search

Navigation