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Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

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  • Zouheyr, Dekali
  • Lotfi, Baghli
  • Abdelmadjid, Boumediene

Abstract

This paper presents the design, modeling, and the experimental build of a 1.5 kW relatively low-cost wind turbine emulator (WTE), based on the variable speed wind power system concept with partly rated power converters. The turbine simulator is composed of a controlled DC motor (DCM) in order to manage the static-dynamic behavior of a real wind turbine, including an ideal gearbox. This emulator is integrated into a connected wind energy conversion system chain (WECS), based on the double fed induction generator (DFIG) configuration. The latter ensures the electromechanical conversion. It allows the transfer of active and reactive power to the power grid during hypo and hyper synchronous modes. The aerodynamic emulation principle requires controlling the DC armature current with a PI controller. This leads to an electrical drive that applies a shaft torque identical to the wind turbine transmission drive train. The current reference is calculated as function of the static settings of the wind turbine and real wind speed data gives different operating points. In addition, this paper also proposes to test the TSR (Tip Speed Ratio) based MPPT algorithm to extract the maximum available power on the emulator by adjusting the rotational speed according to the actual given wind speed data. The MPPT, the DC motor control and the DFIG power control algorithms are implanted in C language, using dSPACE DS1104 control board, meanwhile simulations are done using MATLAB/Simulink. The experimental and simulation results show the effectiveness of using the controlled DC motor to emulate the wind turbine and also the great performances of the proposed MPPT structure to achieve the extraction of the maximum instantaneous power available on the drive shaft.

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  • 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).
    • Handle: RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012871
    DOI: 10.1016/j.energy.2021.121039
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    1. 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.
    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. Barambones, Oscar & Cortajarena, Jose A. & Calvo, Isidro & Gonzalez de Durana, Jose M. & Alkorta, Patxi & Karami-Mollaee, A., 2019. "Variable speed wind turbine control scheme using a robust wind torque estimation," Renewable Energy, Elsevier, vol. 133(C), pages 354-366.
    4. Aktaş, Ahmet & Kırçiçek, Yağmur, 2020. "A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system," Energy, Elsevier, vol. 199(C).
    5. 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.
    6. Famoso, Fabio & Brusca, Sebastian & D'Urso, Diego & Galvagno, Antonio & Chiacchio, Ferdinando, 2020. "A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability," Applied Energy, Elsevier, vol. 280(C).
    7. 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.
    8. 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.
    9. Martinez, Fernando & Herrero, L. Carlos & de Pablo, Santiago, 2014. "Open loop wind turbine emulator," Renewable Energy, Elsevier, vol. 63(C), pages 212-221.
    10. Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    11. Hu, Lu & Xue, Fei & Qin, Zijian & Shi, Jiying & Qiao, Wen & Yang, Wenjing & Yang, Ting, 2019. "Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system," Applied Energy, Elsevier, vol. 248(C), pages 567-575.
    12. Lim, Chae Wook, 2019. "A demonstration on the similarity of pitch response between MW wind turbine and small-scale simulator," Renewable Energy, Elsevier, vol. 144(C), pages 68-76.
    13. Ardjal, Aghiles & Merabet, Adel & Bettayeb, Maamar & Mansouri, Rachid & Labib, Labib, 2019. "Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system," Energy, Elsevier, vol. 186(C).
    14. Kadri, Ameni & Marzougui, Hajer & Aouiti, Abdelkrim & Bacha, Faouzi, 2020. "Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system," Energy, Elsevier, vol. 192(C).
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    1. Terfa, H. & Baghli, L. & Bhandari, R., 2022. "Impact of renewable energy micro-power plants on power grids over Africa," Energy, Elsevier, vol. 238(PA).
    2. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).

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