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Modeling and Analysis of Transient Reactive Power Characteristics of DFIG Considering Crowbar Circuit under Ultra HVDC Commutation Failure

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  • Heng Nian

    (College of Electrical Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China)

  • Xiao Jin

    (College of Electrical Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China)

Abstract

Ultra high voltage direct current (UHVDC) transmission is an effective means of long-distance transmission of renewable power generation, which has obtained a lot of research and practical applications. The commutation failure is a common DC transmission fault, which will cause the voltage amplitude of the sending ac grid in UHVDC system to first decrease then increase. The existing transient mathematical models of the wind power generation system (WPGS) are difficult to apply to scenarios where the grid voltage changes continuously. A mathematical model suitable for commutation failure is established to analyze the transient reactive power characteristics of the doubly fed induction generator (DFIG)-based WPGS with the consideration of the crowbar circuit trigger. The correctness of the mathematical model is validated by an experiment based on the control hardware-in-loop (CHIL) platform. Based on the proposed mathematical model, the influence of the crowbar parameters on the reactive power output of the DFIG is analyzed, and the selection of crowbar parameters to suppress the overvoltage of the sending ac grid is investigated. A simulation model is built based on Matlab/Simulink to verify the overvoltage suppression effect of the proposed selection scheme.

Suggested Citation

  • Heng Nian & Xiao Jin, 2021. "Modeling and Analysis of Transient Reactive Power Characteristics of DFIG Considering Crowbar Circuit under Ultra HVDC Commutation Failure," Energies, MDPI, vol. 14(10), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2743-:d:552207
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    References listed on IDEAS

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    1. Minh Quan Duong & Sonia Leva & Marco Mussetta & Kim Hung Le, 2018. "A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances," Energies, MDPI, vol. 11(3), pages 1-18, February.
    2. Saran Ganesh & Arcadio Perilla & Jose Rueda Torres & Peter Palensky & Aleksandra Lekić & Mart van der Meijden, 2021. "Generic EMT Model for Real-Time Simulation of Large Disturbances in 2 GW Offshore HVAC-HVDC Renewable Energy Hubs," Energies, MDPI, vol. 14(3), pages 1-30, February.
    3. Roland Ryndzionek & Łukasz Sienkiewicz, 2020. "Evolution of the HVDC Link Connecting Offshore Wind Farms to Onshore Power Systems," Energies, MDPI, vol. 13(8), pages 1-17, April.
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    1. Xiangwu Yan & Wenfei Chang & Sen Cui & Aazim Rasool & Jiaoxin Jia & Ying Sun, 2021. "Recurrence of Sub-Synchronous Oscillation Accident of Hornsea Wind Farm in UK and Its Suppression Strategy," Energies, MDPI, vol. 14(22), pages 1-13, November.

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