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Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach

Author

Listed:
  • Yaser Bostani

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran
    Design and Development Part, Guilan Regional Electric Company, Rasht 41377-18775, Iran)

  • Saeid Jalilzadeh

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran)

  • Saleh Mobayen

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran
    Future Technology Research Center, National Yunlin University of Science and Technology, Douliou 64002, Taiwan)

  • Thaned Rojsiraphisal

    (Advanced Research Center for Computational Simulation, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
    Data Science Research Center, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Andrzej Bartoszewicz

    (Institute of Automatic Control, Lodz University of Technology, 18 Stefanowskiego St., 90-537 Lodz, Poland)

Abstract

This paper presents a novel fuzzy control scheme for damping the subsynchronous resonance (SSR) according to the wide-area measurement system (WAMS) in power systems including doubly fed induction generator (DFIG)-based wind farms connected to series capacitive compensated transmission networks. The SSR damping is attained by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of DFIG wind farms. Additionally, time delays due to communication signals are important when using WAMSs. If the time delays are ignored, it causes system instability. In this paper, the time delays are modeled with a separate fuzzy input to the controller. The new fuzzy control approach is executed by using the angular velocity of synchronous generators (w) and its variation in the angular velocity (dw/dt). The effectiveness and success of the WAMS-based fuzzy controller is demonstrated by comparison with the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) optimization methods. The efficacy and validity of the planned auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulations using the MATLAB/Simulink toolbox.

Suggested Citation

  • Yaser Bostani & Saeid Jalilzadeh & Saleh Mobayen & Thaned Rojsiraphisal & Andrzej Bartoszewicz, 2022. "Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach," Energies, MDPI, vol. 15(5), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1787-:d:760765
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    References listed on IDEAS

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    1. Faris Alatar & Ali Mehrizi-Sani, 2021. "Frequency Scan–Based Mitigation Approach of Subsynchronous Control Interaction in Type-3 Wind Turbines," Energies, MDPI, vol. 14(15), pages 1-13, July.
    2. Zhang, Jingjing & Li, Huanhuan & Chen, Diyi & Xu, Beibei & Mahmud, Md Apel, 2021. "Flexibility assessment of a hybrid power system: Hydroelectric units in balancing the injection of wind power," Renewable Energy, Elsevier, vol. 171(C), pages 1313-1326.
    3. Zakiud Din & Jianzhong Zhang & Hussain Bassi & Muhyaddin Rawa & Yipeng Song, 2020. "Impact of Phase Locked Loop with Different Types and Control Dynamics on Resonance of DFIG System," Energies, MDPI, vol. 13(5), pages 1-26, February.
    4. 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.
    5. Vinay Sewdien & Xiongfei Wang & Jose Rueda Torres & Mart van der Meijden, 2020. "Critical Review of Mitigation Solutions for SSO in Modern Transmission Grids," Energies, MDPI, vol. 13(13), pages 1-20, July.
    6. Gangui Yan & Dan Wang & Qi Jia & Wenbo Hu, 2020. "Equivalent Modeling of Dfig-Based Wind Farms for Sub-Synchronous Resonance Analysis," Energies, MDPI, vol. 13(20), pages 1-19, October.
    7. Yingzong Jiao & Feng Li & Hui Dai & Heng Nian, 2020. "Analysis and Mitigation of Sub-Synchronous Resonance for Doubly Fed Induction Generator under VSG Control," Energies, MDPI, vol. 13(7), pages 1-17, April.
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    Cited by:

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    2. Mohamed Abd-El-Hakeem Mohamed & Hossam Seddik Abbas & Mokhtar Shouran & Salah Kamel, 2022. "A Neuro-Predictive Controller Scheme for Integration of a Basic Wind Energy Generation Unit with an Electrical Power System," Energies, MDPI, vol. 15(16), pages 1-24, August.

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