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Wind energy conversion systems analysis of PMSG on offshore wind turbine using improved SMC and Extended State Observer

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  • Pan, Lin
  • Shao, Chengpeng

Abstract

In this paper, an improved Sliding Mode Control(SMC) is proposed based on the Wind Energy Conversion System(WECS), which is with offshore wind turbine Permanent Magnet Synchronous Generator(PMSG) connected to the grid. Moreover, an aerodynamic torque observer is presented to improve the performance of Maximum Power Point Tracking(MPPT). Since the wind energy conversion system is a complicated nonlinear system, an enhanced reach law of sliding mode controller is designed to reduce the chattering issue. Compared to traditional control methods, the simulation results show that the control method proposed in this paper significantly improves the stability and robustness of PMSG-Based WECS in the area of MPPT.

Suggested Citation

  • Pan, Lin & Shao, Chengpeng, 2020. "Wind energy conversion systems analysis of PMSG on offshore wind turbine using improved SMC and Extended State Observer," Renewable Energy, Elsevier, vol. 161(C), pages 149-161.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:149-161
    DOI: 10.1016/j.renene.2020.06.057
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    References listed on IDEAS

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    1. Mingcan Li & Hanbin Xiao & Lin Pan & Chengjun Xu, 2019. "Study of Generalized Interaction Wake Models Systems with ELM Variation for Off-Shore Wind Farms," Energies, MDPI, vol. 12(5), pages 1-32, March.
    2. Chen, Min-Rong & Zeng, Guo-Qiang & Lu, Kang-Di, 2019. "Constrained multi-objective population extremal optimization based economic-emission dispatch incorporating renewable energy resources," Renewable Energy, Elsevier, vol. 143(C), pages 277-294.
    3. Chen, Jian & Yao, Wei & Zhang, Chuan-Ke & Ren, Yaxing & Jiang, Lin, 2019. "Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control," Renewable Energy, Elsevier, vol. 134(C), pages 478-495.
    4. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
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    Cited by:

    1. Btissam Majout & Badre Bossoufi & Manale Bouderbala & Mehedi Masud & Jehad F. Al-Amri & Mohammed Taoussi & Mohammed El Mahfoud & Saad Motahhir & Mohammed Karim, 2022. "Improvement of PMSG-Based Wind Energy Conversion System Using Developed Sliding Mode Control," Energies, MDPI, vol. 15(5), pages 1-17, February.
    2. Pan, Lin & Xiong, Yong & Zhu, Ze & Wang, Leichong, 2022. "Research on variable pitch control strategy of direct-driven offshore wind turbine using KELM wind speed soft sensor," Renewable Energy, Elsevier, vol. 184(C), pages 1002-1017.
    3. Zouheyr, Dekali & Lotfi, Baghli & Abdelmadjid, Boumediene, 2021. "Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds," Energy, Elsevier, vol. 232(C).
    4. González-Hernández, José Genaro & Salas-Cabrera, Rubén & Vázquez-Bautista, Roberto & Ong-de-la-Cruz, Luis Manuel & Rodríguez-Guillén, Joel, 2021. "A novel MPPT PI discrete reverse-acting controller for a wind energy conversion system," Renewable Energy, Elsevier, vol. 178(C), pages 904-915.
    5. 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).

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