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ANN-Based Maximum Power Tracking for a Grid-Synchronized Wind Turbine-Driven Doubly Fed Induction Generator Fed by Matrix Converter

Author

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  • Mohamed A. Alarabi

    (Electrical and Electronics Engineering Department, Atilim University, Ankara 06830, Türkiye)

  • Sedat Sünter

    (Electrical and Electronics Engineering Department, Atilim University, Ankara 06830, Türkiye)

Abstract

The integration of renewable energy sources, such as wind power, into the electrical grid is essential for the development of sustainable energy systems. Doubly fed induction generators (DFIGs) have been significantly utilized in wind energy conversion systems (WECSs) because of their efficient power generation and variable speed operation. However, optimizing wind power extraction at variable wind speeds remains a major challenge. To address this, an artificial neural network (ANN) is adopted to predict the optimal shaft speed, ensuring maximum power point tracking (MPPT) for a wind energy-driven DFIG connected to a matrix converter (MC). The DFIG is controlled via field-oriented control (FOC), which allows independent power output regulation and separately controls the stator active and reactive power components. Through its compact design, bidirectional power flow, and enhanced harmonic performance, the MC, which is controlled by the simplified Venturini modulation technique, improves the efficiency and dependability of the system. Simulation outcomes confirm that the ANN-based MPPT enhances the power extraction efficiency and improves the system performance. This study shows how wind energy systems can be optimized for smart grids by integrating advanced control techniques like FOC and simplified Venturini modulation with intelligent algorithms like ANN.

Suggested Citation

  • Mohamed A. Alarabi & Sedat Sünter, 2025. "ANN-Based Maximum Power Tracking for a Grid-Synchronized Wind Turbine-Driven Doubly Fed Induction Generator Fed by Matrix Converter," Energies, MDPI, vol. 18(10), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2521-:d:1655018
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    References listed on IDEAS

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    1. Xuan Chau Le & Minh Quan Duong & Kim Hung Le, 2022. "Review of the Modern Maximum Power Tracking Algorithms for Permanent Magnet Synchronous Generator of Wind Power Conversion Systems," Energies, MDPI, vol. 16(1), pages 1-25, December.
    2. Mohamed Zribi & Muthana Alrifai & Mohamed Rayan, 2017. "Sliding Mode Control of a Variable- Speed Wind Energy Conversion System Using a Squirrel Cage Induction Generator," Energies, MDPI, vol. 10(5), pages 1-21, May.
    3. Habib Benbouhenni & Nicu Bizon, 2021. "Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System," Mathematics, MDPI, vol. 9(19), pages 1-36, September.
    4. Belqasem Aljafari & Jasmin Pamela Stephenraj & Indragandhi Vairavasundaram & Raja Singh Rassiah, 2022. "Steady State Modeling and Performance Analysis of a Wind Turbine-Based Doubly Fed Induction Generator System with Rotor Control," Energies, MDPI, vol. 15(9), pages 1-19, May.
    5. Mohamed, Amal Z. & Eskander, Mona N. & Ghali, Fadia A., 2001. "Fuzzy logic control based maximum power tracking of a wind energy system," Renewable Energy, Elsevier, vol. 23(2), pages 235-245.
    6. Santiago Arnaltes & Jose Luis Rodriguez-Amenedo & Miguel E. Montilla-DJesus, 2017. "Control of Variable Speed Wind Turbines with Doubly Fed Asynchronous Generators for Stand-Alone Applications," Energies, MDPI, vol. 11(1), pages 1-16, December.
    7. Erdal Bekiroglu & Muhammed Duran Yazar, 2022. "MPPT Control of Grid Connected DFIG at Variable Wind Speed," Energies, MDPI, vol. 15(9), pages 1-19, April.
    8. A. G. Olabi & Khaled Obaideen & Mohammad Ali Abdelkareem & Maryam Nooman AlMallahi & Nabila Shehata & Abdul Hai Alami & Ayman Mdallal & Asma Ali Murah Hassan & Enas Taha Sayed, 2023. "Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
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