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Study on dynamic characteristic of wind turbine emulator based on PMSM

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  • Yan, Jianhu
  • Feng, Yi
  • Dong, Jianning

Abstract

In this paper, a wind turbine emulator (WTE) based on the load torque dynamic compensation of PMSM is proposed to satisfy the further study of wind power system control technology in laboratory. The basic characteristic of wind turbine is analyzed to compare the wind turbine with its WTE. The dynamic compensation method based on the acceleration feedback is improved to propose the load torque dynamic compensation method to realize the dynamic characteristic simulation of wind turbine. Moreover, a low pass filter (LPF) is adopted at the load torque compensation module to suppress the torque ripple of the wind generator. An entire wind power system experimental platform is built to test the proposed torque compensation method. The results verify the proposed control method.

Suggested Citation

  • Yan, Jianhu & Feng, Yi & Dong, Jianning, 2016. "Study on dynamic characteristic of wind turbine emulator based on PMSM," Renewable Energy, Elsevier, vol. 97(C), pages 731-736.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:731-736
    DOI: 10.1016/j.renene.2016.06.034
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    References listed on IDEAS

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    1. Martinez, Fernando & Herrero, L. Carlos & de Pablo, Santiago, 2014. "Open loop wind turbine emulator," Renewable Energy, Elsevier, vol. 63(C), pages 212-221.
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    1. Luna, M. & Di Piazza, M.C. & La Tona, G. & Accetta, A. & Pucci, M., 2021. "Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 48-65.
    2. Onofre A. Morfin & Riemann Ruiz-Cruz & Jesus I. Hernández & Carlos E. Castañeda & Reymundo Ramírez-Betancour & Fredy A. Valenzuela-Murillo, 2021. "Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine," Energies, MDPI, vol. 14(4), pages 1-15, February.
    3. Willis, D.J. & Niezrecki, C. & Kuchma, D. & Hines, E. & Arwade, S.R. & Barthelmie, R.J. & DiPaola, M. & Drane, P.J. & Hansen, C.J. & Inalpolat, M. & Mack, J.H. & Myers, A.T. & Rotea, M., 2018. "Wind energy research: State-of-the-art and future research directions," Renewable Energy, Elsevier, vol. 125(C), pages 133-154.
    4. 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.
    5. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    6. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.

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