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Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines

Author

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  • Mohamed Abdelrahem

    (Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), 80333 München, Germany
    Electrical Engineering Department, Faculty of Engineering, Assiut University, 71516 Assiut, Egypt)

  • Ralph Kennel

    (Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), 80333 München, Germany)

Abstract

Currently, the electric power production by wind energy conversion systems (WECSs) has increased significantly. Consequently, wind turbine (WT) generators are requested to fulfill the grid code (GC) requirements stated by network operators. In case of grid faults/voltage dips, a mismatch between the generated active power from the wind generator and the active power delivered to the grid is produced. The conventional approach is using a braking chopper (BC) in the DC-link to dissipate this active power. This paper proposes a fault-ride through (FRT) strategy for variable-speed WECSs based on permanent magnet synchronous generators (PMSGs). The proposed strategy exploits the rotor inertia of the WECS (inertia of the WT and PMSG) to store the surplus active power during the grid faults/voltage dips. Thus, no additional hardware components are requested. Furthermore, a direct model predictive control (DMPC) scheme for the PMSG is proposed in order to enhance the dynamic behavior of the WECS. The behavior of the proposed FRT strategy is verified and compared with the conventional BC approach for all the operation conditions by simulation results. Finally, the simulation results confirm the feasibility of the proposed FRT strategy.

Suggested Citation

  • Mohamed Abdelrahem & Ralph Kennel, 2016. "Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1066-:d:85289
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    References listed on IDEAS

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    Cited by:

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    2. Fernando Lino & Jefferson Assis & Darlan A. Fernandes & Rogerio Jacomini & Fabiano F. Costa & Alfeu J. Sguarezi Filho, 2021. "One-Cycle Fourier Finite Position Set PLL," Energies, MDPI, vol. 14(7), pages 1-17, March.
    3. Mostafa Ahmed & Mohamed Abdelrahem & Ralph Kennel, 2020. "Highly Efficient and Robust Grid Connected Photovoltaic System Based Model Predictive Control with Kalman Filtering Capability," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    4. Xiangwu Yan & Linlin Yang & Tiecheng Li, 2021. "The LVRT Control Scheme for PMSG-Based Wind Turbine Generator Based on the Coordinated Control of Rotor Overspeed and Supercapacitor Energy Storage," Energies, MDPI, vol. 14(2), pages 1-22, January.
    5. Muhammad Zubair Asif Bhatti & Abubakar Siddique & Waseem Aslam & Shahid Atiq & Hussain Sarwar Khan, 2023. "Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids," Energies, MDPI, vol. 16(3), pages 1-22, February.
    6. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    7. Maha Zoghlami & Ameni Kadri & Faouzi Bacha, 2018. "Analysis and Application of the Sliding Mode Control Approach in the Variable-Wind Speed Conversion System for the Utility of Grid Connection," Energies, MDPI, vol. 11(4), pages 1-17, March.
    8. Quan Zhou & Taotao Xiong & Mubin Wang & Chenmeng Xiang & Qingpeng Xu, 2017. "Diagnosis and Early Warning of Wind Turbine Faults Based on Cluster Analysis Theory and Modified ANFIS," Energies, MDPI, vol. 10(7), pages 1-15, July.

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