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Modeling and stability analysis methods for investigating subsynchronous control interaction in large-scale wind power systems

Author

Listed:
  • Shair, Jan
  • Xie, Xiaorong
  • Liu, Wei
  • Li, Xuan
  • Li, Haozhi

Abstract

The subsynchronous control interaction (SSCI) occurs when the wind turbine converter (WTC) controls interact with the series-compensated or weak AC network. The mechanism and attributes of the emerging interaction phenomenon invilving wind turbine generators (WTGs) are quite different from the traditional subsynchronous resonance or oscillation (SSR/SSO) phenomenon in steam turbine-generators (STGs). The SSCI is characterized by various system-wide parameters, including the wind speed and its uneven distribution in a wind power plant, varying number of WTGs connected to the grid, type of the WTGs, parameters of the WTC controls, level of series compensation, stiffness of the grid, etc. Such system-wide parameters change over time and thus make the modeling and analysis rather challenging to conduct SSCI studies. An ideal modeling approach for the SSCI is expected to preserve the system topology as well as valid for a wide range of operating conditions and parameters of the system. On the other hand, an ideal stability analysis method is supposed to give key quantitative information, such as the magnitude, frequency, and origin of the oscillation, as well as the component level participation indices. This paper provides a comparative insight into the application of existing and emerging modeling and stability analysis approaches for SSCI investigations in large-scale wind farms. It highlights the strengths and weaknesses of various modeling methods and analysis criteria. Finally, the paper underlines the recent advancements and points out towards the research directions in small/large-signal impedance modeling and stability approaches for accurate and quantitative investigation of the SSCI.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:135:y:2021:i:c:s1364032120307073
    DOI: 10.1016/j.rser.2020.110420
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    References listed on IDEAS

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    1. 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.
    2. Shair, Jan & Xie, Xiaorong & Wang, Luping & Liu, Wei & He, Jingbo & Liu, Hui, 2019. "Overview of emerging subsynchronous oscillations in practical wind power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 159-168.
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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. Chen, Lei & Xie, Xiaorong & He, Jingbo & Xu, Tao & Xu, Dechao & Ma, Ningning, 2023. "Wideband oscillation monitoring in power systems with high-penetration of renewable energy sources and power electronics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    3. He, Xiuqiang & Geng, Hua & Mu, Gang, 2021. "Modeling of wind turbine generators for power system stability studies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Giorgio M. Giannuzzi & Viktoriya Mostova & Cosimo Pisani & Salvatore Tessitore & Alfredo Vaccaro, 2022. "Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators," Energies, MDPI, vol. 15(21), pages 1-13, October.
    5. Albert Poulose & Soobae Kim, 2023. "Transient Stability Analysis and Enhancement Techniques of Renewable-Rich Power Grids," Energies, MDPI, vol. 16(5), pages 1-30, March.
    6. Rodrigo Trentini & Rüdiger Kutzner & John J. A. Saldanha & Ademir Nied & Tiago Jackson May Dezuo & Mariana Santos Matos Cavalca, 2023. "A Comprehensive Analysis of the Penetration of Detailed Type 4 Wind Turbine Generators in the Two-Area Benchmark System," Energies, MDPI, vol. 16(13), pages 1-19, June.
    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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