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Model reduction strategy of doubly-fed induction generator-based wind farms for power system small-signal rotor angle stability analysis

Author

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  • Xia, S.W.
  • Bu, S.Q.
  • Zhang, X.
  • Xu, Y.
  • Zhou, B.
  • Zhu, J.B.

Abstract

Following the decarbonisation and decentralisation of energy industry, wind energy is becoming a promising generation source to reduce greenhouse emission, and meet future energy demand. Unlike traditional generation using synchronous generators, many wind turbines use induction generators, e.g., doubly-fed induction generators, due to the cost effective design of adjustable-speed operation and flexibility in reactive power control. However, a growing number of doubly-fed induction generator-based wind farms has significantly increased the complexity of system dynamic model, and hence increased the computational burden of power system dynamic study. This becomes a serious concern in the electricity system operation, where a fast power system stability assessment is required to assure the real-time system security during high levels of wind power penetration. In this paper, a novel model reduction strategy of doubly-fed induction generators is derived to improve the efficiency of power system dynamic study, while the study accuracy is still maintained to an acceptable level. To achieve this, a method to assess the modeling adequacy of doubly-fed induction generators for small-signal rotor angle stability analysis is firstly introduced. By evaluating the damping torque contribution to stability margin from different dynamic model components of doubly-fed induction generators, the proposed method provides a quantitative index (i.e., participation level) to show the involvement of each dynamic model component of doubly-fed induction generators in affecting power system damping, and thus can instruct how to reduce the model of doubly-fed induction generators in an efficient and accurate manner. On this basis, five model reduction plans and a model reduction strategy have been proposed according to the previously defined participation levels. The effectiveness of the proposed strategy is demonstrated in the New England test system and a real large power grid in Eastern China respectively. It has been proved that the proposed the model reduction strategy of doubly-fed induction generators for power system dynamic study is undoubtedly useful to the electricity system operator, with a key benefit in reducing model complexity and improving computational efficiency of a large-scale power system with an increasing number of wind power generation.

Suggested Citation

  • Xia, S.W. & Bu, S.Q. & Zhang, X. & Xu, Y. & Zhou, B. & Zhu, J.B., 2018. "Model reduction strategy of doubly-fed induction generator-based wind farms for power system small-signal rotor angle stability analysis," Applied Energy, Elsevier, vol. 222(C), pages 608-620.
  • Handle: RePEc:eee:appene:v:222:y:2018:i:c:p:608-620
    DOI: 10.1016/j.apenergy.2018.04.024
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    1. McKenna, R. & Djapic, P. & Weinand, J. & Fichtner, W. & Strbac, G., 2018. "Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks," Applied Energy, Elsevier, vol. 210(C), pages 856-869.
    2. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    3. Wang, Mingshen & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2017. "Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 1673-1683.
    4. Zhang, Xiaochun & Ma, Chun & Song, Xia & Zhou, Yuyu & Chen, Weiping, 2016. "The impacts of wind technology advancement on future global energy," Applied Energy, Elsevier, vol. 184(C), pages 1033-1037.
    5. Modi, Nilesh & Saha, Tapan K. & Anderson, Tom, 2013. "Damping performance of the large scale Queensland transmission network with significant wind penetration," Applied Energy, Elsevier, vol. 111(C), pages 225-233.
    6. Kumar, Yogesh & Ringenberg, Jordan & Depuru, Soma Shekara & Devabhaktuni, Vijay K. & Lee, Jin Woo & Nikolaidis, Efstratios & Andersen, Brett & Afjeh, Abdollah, 2016. "Wind energy: Trends and enabling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 209-224.
    7. Song, Zhanfeng & Xia, Changliang & Shi, Tingna, 2010. "Assessing transient response of DFIG based wind turbines during voltage dips regarding main flux saturation and rotor deep-bar effect," Applied Energy, Elsevier, vol. 87(10), pages 3283-3293, October.
    8. Xie, Da & Lu, Yupu & Sun, Junbo & Gu, Chenghong, 2017. "Small signal stability analysis for different types of PMSGs connected to the grid," Renewable Energy, Elsevier, vol. 106(C), pages 149-164.
    9. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    10. Chen, Huadong & Wang, Can & Cai, Wenjia & Wang, Jianhui, 2018. "Simulating the impact of investment preference on low-carbon transition in power sector," Applied Energy, Elsevier, vol. 217(C), pages 440-455.
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    5. Fu, Xiaopeng & Wang, Chengshan & Li, Peng & Wang, Liwei, 2019. "Exponential integration algorithm for large-scale wind farm simulation with Krylov subspace acceleration," Applied Energy, Elsevier, vol. 254(C).
    6. 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).
    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).
    8. Tan, Xiaoqiang & Li, Chaoshun & Liu, Dong & Wang, He & Xu, Rongli & Lu, Xueding & Zhu, Zhiwei, 2023. "Multi-time scale model reduction strategy of variable-speed pumped storage unit grid-connected system for small-signal oscillation stability analysis," Renewable Energy, Elsevier, vol. 211(C), pages 985-1009.

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