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A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics

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  • Yin, Xiu-xing
  • Lin, Yong-gang
  • Li, Wei
  • Gu, Ya-jing
  • Liu, Hong-wei
  • Lei, Peng-fei

Abstract

A novel fuzzy integral sliding mode current control strategy is proposed to extract the maximum wind power and eliminate the high-order voltage harmonics at the generator side for a direct-driven wind energy system. In this control strategy, a fuzzy logic generator is employed to derive the peak power points based on the variations of measured DC-side voltage and current. An integral sliding mode current controller is then designed in this control strategy to track the peak power points. A harmonic compensator is also built inside the fuzzy logic generator for minimizing the voltage harmonics. Major issues in the design and implementation of the control strategy such as detailed design procedure and stability condition have been presented. Comparative experimental results have demonstrated the achievable significant improvements on the maximum power extraction and harmonic elimination by using the proposed control strategy as compared with a conventional control method.

Suggested Citation

  • Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Liu, Hong-wei & Lei, Peng-fei, 2015. "A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics," Energy, Elsevier, vol. 85(C), pages 677-686.
    • Handle: RePEc:eee:energy:v:85:y:2015:i:c:p:677-686
    DOI: 10.1016/j.energy.2015.04.005
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    Cited by:

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    2. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
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    5. Govind, Bala, 2017. "Increasing the operational capability of a horizontal axis wind turbine by its integration with a vertical axis wind turbine," Applied Energy, Elsevier, vol. 199(C), pages 479-494.
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    7. Nada Zine Laabidine & Badre Bossoufi & Ismail El Kafazi & Chakib El Bekkali & Najib El Ouanjli, 2023. "Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    8. Hadi Hosseini Kordkheili & Mahdi Banejad & Ali Akbarzadeh Kalat & Edris Pouresmaeil & João P. S. Catalão, 2018. "Direct-Lyapunov-Based Control Scheme for Voltage Regulation in a Three-Phase Islanded Microgrid with Renewable Energy Sources," Energies, MDPI, vol. 11(5), pages 1-18, May.
    9. Yuan, Xiaohui & Chen, Zhihuan & Yuan, Yanbin & Huang, Yuehua, 2015. "Design of fuzzy sliding mode controller for hydraulic turbine regulating system via input state feedback linearization method," Energy, Elsevier, vol. 93(P1), pages 173-187.
    10. Gu, Ya-jing & Yin, Xiu-xing & Liu, Hong-wei & Li, Wei & Lin, Yong-gang, 2015. "Fuzzy terminal sliding mode control for extracting maximum marine current energy," Energy, Elsevier, vol. 90(P1), pages 258-265.
    11. Karabacak, Murat, 2019. "A new perturb and observe based higher order sliding mode MPPT control of wind turbines eliminating the rotor inertial effect," Renewable Energy, Elsevier, vol. 133(C), pages 807-827.
    12. Song, Ziyou & Hou, Jun & Hofmann, Heath & Li, Jianqiu & Ouyang, Minggao, 2017. "Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles," Energy, Elsevier, vol. 122(C), pages 601-612.
    13. Dahai Zhang & Xiandong Ma & Yulin Si & Can Huang & Bin Huang & Wei Li, 2017. "Effect of Doubly Fed Induction GeneratorTidal Current Turbines on Stability of a Distribution Grid under Unbalanced Voltage Conditions," Energies, MDPI, vol. 10(2), pages 1-14, February.
    14. Fantino, Roberto & Solsona, Jorge & Busada, Claudio, 2016. "Nonlinear observer-based control for PMSG wind turbine," Energy, Elsevier, vol. 113(C), pages 248-257.
    15. Song, Dongran & Yang, Jian & Dong, Mi & Joo, Young Hoon, 2017. "Model predictive control with finite control set for variable-speed wind turbines," Energy, Elsevier, vol. 126(C), pages 564-572.
    16. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    17. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    18. Btissam Majout & Houda El Alami & Hassna Salime & Nada Zine Laabidine & Youness El Mourabit & Saad Motahhir & Manale Bouderbala & Mohammed Karim & Badre Bossoufi, 2022. "A Review on Popular Control Applications in Wind Energy Conversion System Based on Permanent Magnet Generator PMSG," Energies, MDPI, vol. 15(17), pages 1-41, August.
    19. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    20. Nomaguchi, Yutaka & Tanaka, Hiroki & Sakakibara, Akiyuki & Fujita, Kikuo & Kishita, Yusuke & Hara, Keishiro & Uwasu, Michinori, 2017. "Integrated planning of low-voltage power grids and subsidies toward a distributed generation system – Case study of the diffusion of photovoltaics in a Japanese dormitory town," Energy, Elsevier, vol. 140(P1), pages 779-793.
    21. Yang, Bo & Yu, Tao & Shu, Hongchun & Zhang, Yuming & Chen, Jian & Sang, Yiyan & Jiang, Lin, 2018. "Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine," Renewable Energy, Elsevier, vol. 119(C), pages 577-589.

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