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A comprehensive review on wind turbine emulators

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  • Maheshwari, Zeel
  • Kengne, Kamgang
  • Bhat, Omkar

Abstract

Rapidly increasing demand for electricity, rising costs of fossil fuels, and growing environmental concerns are driving research into alternative energy sources. Wind energy has experienced significant growth in recent years. Extensive research has been conducted to efficiently generate electricity from wind energy. However, due to limitations such as space and maintenance, it is very difficult and unsafe to install wind turbines for research and educational purposes. A lab-scale wind turbine emulator has many advantages, including independence from prevailing wind conditions, a greater degree of control, and freedom from space constraints. In this article, authors have reviewed and analyzed over 140 technical articles related to wind turbine emulators. It provides comprehensive information on prime movers, generators, and controls used in wind turbine emulator (WTE) research. Additionally, this paper discusses the strengths and weaknesses of various WTE prime movers, generators, and control algorithms used in the literature review. This article will serve as a good reference for the researchers to choose the right technique for WTE according to their needs.

Suggested Citation

  • Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:rensus:v:180:y:2023:i:c:s1364032123001533
    DOI: 10.1016/j.rser.2023.113297
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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.
    2. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    3. Fathabadi, Hassan, 2016. "Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique," Energy, Elsevier, vol. 113(C), pages 1219-1230.
    4. Oh, Ki-Yong & Park, Joon-Young & Lee, Jun-Shin & Lee, JaeKyung, 2015. "Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions," Renewable Energy, Elsevier, vol. 79(C), pages 150-160.
    5. 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.
    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.
    7. Kortabarria, Iñigo & Andreu, Jon & Martínez de Alegría, Iñigo & Jiménez, Jaime & Gárate, José Ignacio & Robles, Eider, 2014. "A novel adaptative maximum power point tracking algorithm for small wind turbines," Renewable Energy, Elsevier, vol. 63(C), pages 785-796.
    8. Zaragoza, Jordi & Pou, Josep & Arias, Antoni & Spiteri, Cyril & Robles, Eider & Ceballos, Salvador, 2011. "Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system," Renewable Energy, Elsevier, vol. 36(5), pages 1421-1430.
    9. 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).
    10. Gan, Leong Kit & Echenique Subiabre, Estanislao Juan Pablo, 2019. "A realistic laboratory development of an isolated wind-battery system," Renewable Energy, Elsevier, vol. 136(C), pages 645-656.
    11. 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.
    12. Belmokhtar, K. & Doumbia, M.L. & Agbossou, K., 2014. "Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 76(C), pages 679-693.
    13. Urtasun, Andoni & Sanchis, Pablo & San Martín, Idoia & López, Jesús & Marroyo, Luis, 2013. "Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking," Renewable Energy, Elsevier, vol. 55(C), pages 138-149.
    14. Sajadi, Amirhossein & Rosłaniec, Łukasz & Kłos, Mariusz & Biczel, Piotr & Loparo, Kenneth A., 2016. "An emulator for fixed pitch wind turbine studies," Renewable Energy, Elsevier, vol. 87(P1), pages 391-402.
    15. Mansouri, M.N. & Mimouni, M.F. & Benghanem, B. & Annabi, M., 2004. "Simulation model for wind turbine with asynchronous generator interconnected to the electric network," Renewable Energy, Elsevier, vol. 29(3), pages 421-431.
    16. El Mokadem, M. & Courtecuisse, V. & Saudemont, C. & Robyns, B. & Deuse, J., 2009. "Experimental study of variable speed wind generator contribution to primary frequency control," Renewable Energy, Elsevier, vol. 34(3), pages 833-844.
    17. Tanaka, T. & Toumiya, T. & Suzuki, T., 1997. "Output control by hill-climbing method for a small scale wind power generating system," Renewable Energy, Elsevier, vol. 12(4), pages 387-400.
    18. Alexander Rohr & Clemens Jauch, 2021. "Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator," Energies, MDPI, vol. 14(10), pages 1-20, May.
    19. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
    20. K. Premkumar & M. Vishnupriya & Thanikanti Sudhakar Babu & B. V. Manikandan & T. Thamizhselvan & A. Nazar Ali & Md. Rabiul Islam & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2020. "Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    21. Li, Yuwei & Paik, Kwang-Jun & Xing, Tao & Carrica, Pablo M., 2012. "Dynamic overset CFD simulations of wind turbine aerodynamics," Renewable Energy, Elsevier, vol. 37(1), pages 285-298.
    22. Monfared, Mohammad & Madadi Kojabadi, Hossein & Rastegar, Hasan, 2008. "Static and dynamic wind turbine simulator using a converter controlled dc motor," Renewable Energy, Elsevier, vol. 33(5), pages 906-913.
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