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Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers

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  • Yang, Bo
  • Yu, Tao
  • Shu, Hongchun
  • Dong, Jun
  • Jiang, Lin

Abstract

This paper designs a novel robust sliding-mode control using nonlinear perturbation observers for wind energy conversion systems (WECS), in which a doubly-fed induction generator (DFIG) is employed to achieve an optimal power extraction with an improved fault ride-through (FRT) capability. The strong nonlinearities originated from the aerodynamics of the wind turbine, together with the generator parameter uncertainties and wind speed randomness, are aggregated into a perturbation that is estimated online by a sliding-mode state and perturbation observer (SMSPO). Then, the perturbation estimate is fully compensated by a robust sliding-mode controller so as to provide a considerable robustness against various modelling uncertainties and to achieve a consistent control performance under stochastic wind speed variations. Moreover, the proposed approach has an integrated structure thus only the measurement of rotor speed and reactive power is required, while the classical auxiliary dq-axis current regulation loops can be completely eliminated. Four case studies are carried out which verify that a more optimal wind power extraction and an enhanced FRT capability can be realized in comparison with that of conventional vector control (VC), feedback linearization control (FLC), and sliding-mode control (SMC).

Suggested Citation

  • Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:711-723
    DOI: 10.1016/j.apenergy.2017.08.027
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    References listed on IDEAS

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    1. Wieczorek, Maciej & Lewandowski, Mirosław, 2017. "A mathematical representation of an energy management strategy for hybrid energy storage system in electric vehicle and real time optimization using a genetic algorithm," Applied Energy, Elsevier, vol. 192(C), pages 222-233.
    2. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    3. Hooper, Tara & Beaumont, Nicola & Hattam, Caroline, 2017. "The implications of energy systems for ecosystem services: A detailed case study of offshore wind," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 230-241.
    4. Song, Dongran & Yang, Jian & Cai, Zili & Dong, Mi & Su, Mei & Wang, Yinghua, 2017. "Wind estimation with a non-standard extended Kalman filter and its application on maximum power extraction for variable speed wind turbines," Applied Energy, Elsevier, vol. 190(C), pages 670-685.
    5. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "Effect of pitch angle on power performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 197(C), pages 132-150.
    6. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    7. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    8. Saad, Naggar H. & Sattar, Ahmed A. & Mansour, Abd El-Aziz M., 2015. "Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy," Renewable Energy, Elsevier, vol. 80(C), pages 583-594.
    9. Gayen, P.K. & Chatterjee, D. & Goswami, S.K., 2015. "Stator side active and reactive power control with improved rotor position and speed estimator of a grid connected DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 89(C), pages 461-472.
    10. Liao, Shiwu & Yao, Wei & Han, Xingning & Wen, Jinyu & Cheng, Shijie, 2017. "Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data," Applied Energy, Elsevier, vol. 203(C), pages 816-828.
    11. Phan, Dinh-Chung & Yamamoto, Shigeru, 2016. "Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking," Energy, Elsevier, vol. 111(C), pages 377-388.
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