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MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

Author

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  • Amirsoheil Honarbari

    (Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi (DIBRIS), Universita Degli Studi di Genova, 16145 Genova, Italy)

  • Sajad Najafi-Shad

    (Department of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan 98167-45845, Iran)

  • Mohsen Saffari Pour

    (Department of Mechanical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman 76169-13439, Iran)

  • Seyed Soheil Mousavi Ajarostaghi

    (Faculty of Mechanical Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

  • Ali Hassannia

    (Department of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan 98167-45845, Iran)

Abstract

Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.

Suggested Citation

  • Amirsoheil Honarbari & Sajad Najafi-Shad & Mohsen Saffari Pour & Seyed Soheil Mousavi Ajarostaghi & Ali Hassannia, 2021. "MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System," Energies, MDPI, vol. 14(22), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7503-:d:675930
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    Cited by:

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    2. Reza Norouztabar & Seyed Soheil Mousavi Ajarostaghi & Seyed Sina Mousavi & Payam Nejat & Seyed Saeid Rahimian Koloor & Mohamed Eldessouki, 2022. "On the Performance of a Modified Triple Stack Blade Savonius Wind Turbine as a Function of Geometrical Parameters," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    3. Vladislav N. Kovalnogov & Ruslan V. Fedorov & Andrei V. Chukalin & Mariya I. Kornilova & Tamara V. Karpukhina & Anton V. Petrov, 2023. "Application of Intelligent and Digital Technologies to the Tasks of Wind Energy," Energies, MDPI, vol. 16(1), pages 1-16, January.
    4. Ersan Kabalci & Aydin Boyar, 2022. "Highly Efficient Interleaved Solar Converter Controlled with Extended Kalman Filter MPPT," Energies, MDPI, vol. 15(21), pages 1-24, October.

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