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Mitigating subsynchronous control interaction in wind power systems: Existing techniques and open challenges

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  • Shair, Jan
  • Xie, Xiaorong
  • Yan, Gangui

Abstract

Subsynchronous control interaction (SSCI) associated with wind farms has become one of the major challenges for maintaining the stability and reliability of modern power systems. SSCI is mainly caused by the active participation of fast-acting wind turbine converter (WTC) controls in the phenomenon. It can damage the system equipment, reduce the amount of power generation, and degrade the power quality. Thus, it is urgent to develop practical mitigation techniques for the SSCI in order to achieve a smooth and reliable operation of grid interfaced wind farms. This study presents an overview of potential SSCI mitigation techniques at various stages of the power system, including system planning, operation, control, and protection phases at both network and generation sides. In particular, this paper reviews the active damping controls utilizing flexible ac transmission systems (FACTS) and WTC controls. Finally, it outlines the challenges and future work in studying SSCI mitigation techniques in practical wind power systems.

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  • Shair, Jan & Xie, Xiaorong & Yan, Gangui, 2019. "Mitigating subsynchronous control interaction in wind power systems: Existing techniques and open challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 330-346.
    • Handle: RePEc:eee:rensus:v:108:y:2019:i:c:p:330-346
    DOI: 10.1016/j.rser.2019.04.003
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    References listed on IDEAS

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    1. Penghan Li & Jie Wang & Linyun Xiong & Fei Wu, 2017. "Nonlinear Controllers Based on Exact Feedback Linearization for Series-Compensated DFIG-Based Wind Parks to Mitigate Sub-Synchronous Control Interaction," Energies, MDPI, vol. 10(8), pages 1-16, August.
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    5. Honrubia-Escribano, A. & Gómez-Lázaro, E. & Fortmann, J. & Sørensen, P. & Martin-Martinez, S., 2018. "Generic dynamic wind turbine models for power system stability analysis: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1939-1952.
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    Cited by:

    1. Shair, Jan & Li, Haozhi & Hu, Jiabing & Xie, Xiaorong, 2021. "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    2. Ronglin Ma & Yaozhen Han & Weigang Pan, 2021. "Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation," Energies, MDPI, vol. 14(2), pages 1-20, January.
    3. Jafarzadeh Ghoushchi, Saeid & Manjili, Sobhan & Mardani, Abbas & Saraji, Mahyar Kamali, 2021. "An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant," Energy, Elsevier, vol. 223(C).
    4. 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.
    5. Uvini Perera & Amanullah Maung Than Oo & Ramon Zamora, 2022. "Sub Synchronous Oscillations under High Penetration of Renewables—A Review of Existing Monitoring and Damping Methods, Challenges, and Research Prospects," Energies, MDPI, vol. 15(22), pages 1-23, November.
    6. Shair, Jan & Xie, Xiaorong & Liu, Wei & Li, Xuan & Li, Haozhi, 2021. "Modeling and stability analysis methods for investigating subsynchronous control interaction in large-scale wind power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Han, Jiangbei & Liu, Chengxi, 2023. "Performance evaluation of SSCI damping controller based on the elastic energy equivalent system," Applied Energy, Elsevier, vol. 331(C).

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