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A Study on the Improved Power Control Algorithm for a 100 kW Wind Turbine

Author

Listed:
  • Dongmyoung Kim

    (Department of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Republic of Korea)

  • Taesu Jeon

    (Department of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Republic of Korea)

  • Insu Paek

    (Department of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Republic of Korea
    Department of Mechatronics Engineering, Kangwon National University, Chuncheon-si 24341, Gangwon, Republic of Korea)

  • Wirachai Roynarin

    (Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand)

  • Boonyang Plangklang

    (Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand)

  • Bayasgalan Dugarjav

    (Department of Electronics and Communication Engineering, National University of Mongolia, Ulaanbaatar 14200, Mongolia)

Abstract

In this study, a power compensation control algorithm was designed and validated for commercial 100 kW medium wind turbine models for power compensation due to additional generator loss. Generally, torque control considering generator efficiency is applied to a controller of a medium wind turbine; however, a control corresponding to a decrease in generator efficiency due to the surrounding environment is not possible. There is a possibility that an additional generator loss may occur due to the surrounding environment of the wind turbine already installed, and accordingly, a power compensation control algorithm is required because power is expected to decrease. The power compensation control algorithms may be divided into three methods according to a control strategy, and three power compensation control algorithms were explained and designed. The proposed power compensation control algorithms were validated using DNV’s Bladed program. The simulation conditions were selected at an average wind speed of about 18 m/s and normal turbulence model (NTM) Class A, and the additional generator loss was assumed to be 15%. The simulation comparison showed that the original power control algorithm had a deviation of 15.00% from the rated power due to a 15% generator loss, and the designed three power compensation control algorithms had a deviation of up to 0.05%.

Suggested Citation

  • Dongmyoung Kim & Taesu Jeon & Insu Paek & Wirachai Roynarin & Boonyang Plangklang & Bayasgalan Dugarjav, 2023. "A Study on the Improved Power Control Algorithm for a 100 kW Wind Turbine," Energies, MDPI, vol. 16(2), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:619-:d:1025250
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    References listed on IDEAS

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    1. Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
    2. Hawari, Qusay & Kim, Taeseong & Ward, Christopher & Fleming, James, 2022. "A robust gain scheduling method for a PI collective pitch controller of multi-MW onshore wind turbines," Renewable Energy, Elsevier, vol. 192(C), pages 443-455.
    3. Fleck, Brian & Huot, Marc, 2009. "Comparative life-cycle assessment of a small wind turbine for residential off-grid use," Renewable Energy, Elsevier, vol. 34(12), pages 2688-2696.
    4. Ozan Gözcü & Taeseong Kim & David Robert Verelst & Michael K. McWilliam, 2022. "Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine," Energies, MDPI, vol. 15(9), pages 1-22, April.
    5. Petrica Taras & Reza Nilifard & Zi-Qiang Zhu & Ziad Azar, 2022. "Cooling Techniques in Direct-Drive Generators for Wind Power Application," Energies, MDPI, vol. 15(16), pages 1-29, August.
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