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A new perturb and observe based higher order sliding mode MPPT control of wind turbines eliminating the rotor inertial effect

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  • Karabacak, Murat

Abstract

In this study, a new inertial power based perturb and observe method is proposed for wind turbines by considering the energy stored in the turbine inertia, which enables to find the maximum power point accurately. The proposed structure eliminates the problems of sluggish performance and wrong directionality existed in the conventional perturb and observe. In addition, fast and precise tracking of maximum power point by the generator, implying the tracking performance, is also essential to improve the turbine efficiency. In the classical maximum power tracking control, the exact model knowledge is used, which deteriorates the tracking performance and hence the efficiency. Thus, the third order super twisting sliding mode is also applied to the control of the generator to enhance the tracking performance. There is only one parameter used as a priori knowledge in the overall control system, the turbine inertia. To decide the increment in the efficiency, a comparison is performed between the classical and proposed maximum power tracking control systems. Experimental results demonstrate that the proposed control system provides an 9.55% increase in the efficiency with respect to the classical one.

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  • 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.
    • Handle: RePEc:eee:renene:v:133:y:2019:i:c:p:807-827
    DOI: 10.1016/j.renene.2018.10.079
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    1. Boghdady, T.A. & Sayed, M.M. & Abu Elzahab, E.E., 2016. "Maximization of generated power from wind energy conversion system using a new evolutionary algorithm," Renewable Energy, Elsevier, vol. 99(C), pages 631-646.
    2. Jaramillo-Lopez, Fernando & Kenne, Godpromesse & Lamnabhi-Lagarrigue, Francoise, 2016. "A novel online training neural network-based algorithm for wind speed estimation and adaptive control of PMSG wind turbine system for maximum power extraction," Renewable Energy, Elsevier, vol. 86(C), pages 38-48.
    3. Narayana, M. & Putrus, G.A. & Jovanovic, M. & Leung, P.S. & McDonald, S., 2012. "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 72-79.
    4. 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.
    5. Kesraoui, M. & Korichi, N. & Belkadi, A., 2011. "Maximum power point tracker of wind energy conversion system," Renewable Energy, Elsevier, vol. 36(10), pages 2655-2662.
    6. Ciri, Umberto & Rotea, Mario A. & Leonardi, Stefano, 2017. "Model-free control of wind farms: A comparative study between individual and coordinated extremum seeking," Renewable Energy, Elsevier, vol. 113(C), pages 1033-1045.
    7. 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.
    8. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    9. Akour, Salih N. & Al-Heymari, Mohammed & Ahmed, Talha & Khalil, Kamel Ali, 2018. "Experimental and theoretical investigation of micro wind turbine for low wind speed regions," Renewable Energy, Elsevier, vol. 116(PA), pages 215-223.
    10. De Kooning, Jeroen D.M. & Vandoorn, Tine L. & Van de Vyver, Jan & Meersman, Bart & Vandevelde, Lieven, 2016. "Displacement of the maximum power point caused by losses in wind turbine systems," Renewable Energy, Elsevier, vol. 85(C), pages 273-280.
    11. 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.
    12. 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.
    13. 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.
    14. Aubrée, René & Auger, François & Macé, Michel & Loron, Luc, 2016. "Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy," Renewable Energy, Elsevier, vol. 86(C), pages 280-291.
    15. 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.
    16. Lin, Whei-Min & Hong, Chih-Ming, 2010. "Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system," Energy, Elsevier, vol. 35(6), pages 2440-2447.
    17. 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.
    18. Narayana, Mahinsasa & Sunderland, Keith M. & Putrus, Ghanim & Conlon, Michael F., 2017. "Adaptive linear prediction for optimal control of wind turbines," Renewable Energy, Elsevier, vol. 113(C), pages 895-906.
    19. Ajami, Ali & Alizadeh, Rana & Elmi, Mahdi, 2016. "Design and control of a grid tied 6-switch converter for two independent low power wind energy resources based on PMSGs with MPPT capability," Renewable Energy, Elsevier, vol. 87(P1), pages 532-543.
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