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Hybrid and adaptive sectors P&O MPPT algorithm based wind generation system

Author

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  • Mousa, Hossam H.H.
  • Youssef, Abdel-Raheem
  • Mohamed, Essam E.M.

Abstract

This article suggests a new adaptive perturb and observe (AD-PO) and hybrid P&O (HB-PO) maximum power point tracking (MPPT) algorithms based on the variable speed - wind energy conversion system (WECS) to overcome drawbacks of conventional step-size P&O (CPO) algorithms and to improve the tracking performance of variable step-size P&O (VS-PO) algorithms. Both AD-PO and HB-PO algorithms divide the power-speed (P-ω) curve into modular sectors by estimating the distance between the actual and optimum rotor speed. Furthermore, the limits of operating sectors are continuously modified according to the optimal rotor speed variations. The AD-PO intelligently adapts the perturbation step-size to cope with the rapid wind speed fluctuations, which enables to accurate maximum power point (MPP) tracking. The proposed HB-PO combines the rapid tracking speed and low oscillation levels by specifying number of sectors to operate with VS-PO strategy while remaining sectors to operate with the AD-PO strategy. Moreover, a smart wind speed-sensorless scheme has been established to eliminate the installation of mechanical sensors. Simulation results verify that proposed P&O algorithms offer a 4.0% increase in the WECS efficiency over the conventional algorithm. The effectiveness of proposed control schemes is confirmed by real wind data (Boulder City, Colorado) using MATLAB/SIMULINK environment.

Suggested Citation

  • Mousa, Hossam H.H. & Youssef, Abdel-Raheem & Mohamed, Essam E.M., 2020. "Hybrid and adaptive sectors P&O MPPT algorithm based wind generation system," Renewable Energy, Elsevier, vol. 145(C), pages 1412-1429.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:1412-1429
    DOI: 10.1016/j.renene.2019.06.078
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    Cited by:

    1. Youssef, Abdel-Raheem & Mousa, Hossam H.H. & Mohamed, Essam E.M., 2020. "Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area," Renewable Energy, Elsevier, vol. 154(C), pages 875-893.
    2. Hu, Yong & Bu, Siqi & Luo, Jianqiang & Wen, Jiaxin, 2023. "Generalization of oscillation loop and energy flow analysis for investigating various oscillations of renewable energy systems," Renewable Energy, Elsevier, vol. 218(C).
    3. José Genaro González-Hernández & Rubén Salas-Cabrera, 2021. "Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG," Mathematics, MDPI, vol. 9(17), pages 1-19, August.
    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.

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