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Low-frequency oscillations of wind power systems caused by doubly-fed induction generators

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  • Li, Shenghu

Abstract

The existing researches on the wind power systems do not specify whether of the low-frequency oscillations are caused by the synchronous generators or the wind turbine generators. In this paper, the low-frequency oscillation caused by the doubly-fed induction generators (DFIGs) is studied. The linearized state equations of the DFIGs with the stator voltage transient are newly proposed, where the stator voltages as algebraic variables are expressed by the state variables. The low-frequency oscillation modes, usually caused by the synchronous generators, are newly defined by the mechanical parameters of the DFIGs to derive the participation ratios and find the low-frequency oscillation modes caused by the DFIGs. The low-frequency oscillation modes caused by the DFIGs are validated by the dynamic response using the band-pass/low-pass filter. The multi-step derivatives are proposed to quantify the sensitivity of the oscillation modes caused by the DFIGs to the parameters of the DFIGs and the synchronous generators. The damping schemes are derived by comparing the sensitivity and the accuracy is validated. The numerical results on the IEEE RTS system and a regional system show the error due to neglect to the stator voltage transient. The low-frequency oscillations caused by the DFIG have longer period, and converge more slowly than those caused by the synchronous generators.

Suggested Citation

  • Li, Shenghu, 2017. "Low-frequency oscillations of wind power systems caused by doubly-fed induction generators," Renewable Energy, Elsevier, vol. 104(C), pages 129-138.
    • Handle: RePEc:eee:renene:v:104:y:2017:i:c:p:129-138
    DOI: 10.1016/j.renene.2016.11.053
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    References listed on IDEAS

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    1. Fernández, R.D. & Battaiotto, P.E. & Mantz, R.J., 2008. "Wind farm non-linear control for damping electromechanical oscillations of power systems," Renewable Energy, Elsevier, vol. 33(10), pages 2258-2265.
    2. Ghasemi, Hosein & Gharehpetian, G.B. & Nabavi-Niaki, Seyed Ali & Aghaei, Jamshid, 2013. "Overview of subsynchronous resonance analysis and control in wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 234-243.
    3. Domínguez-García, José Luis & Gomis-Bellmunt, Oriol & Bianchi, Fernando D. & Sumper, Andreas, 2012. "Power oscillation damping supported by wind power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4994-5006.
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    Cited by:

    1. Peiru Feng & Jiayin Xu & Zhuang Wang & Shenghu Li & Yuming Shen & Xu Gui, 2024. "Impact of Phase Angle Jump on a Doubly Fed Induction Generator under Low-Voltage Ride-Through Based on Transfer Function Decomposition," Energies, MDPI, vol. 17(19), pages 1-17, September.
    2. Chro Hama Radha, 2023. "Retrofitting for Improving Indoor Air Quality and Energy Efficiency in the Hospital Building," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Zhang, Guozhou & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2021. "A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration," Renewable Energy, Elsevier, vol. 178(C), pages 363-376.
    4. Rui Zhang & Hao Zhang & Jianqiao Ye & Jiaqing Wang & Qing Liu & Shenghu Li, 2023. "Eigen-Sensitivity-Based Sliding Mode Control for LFO Damping in DFIG-Integrated Power Systems," Energies, MDPI, vol. 16(10), pages 1-18, May.
    5. Zhang, Jingjing & Mahmud, Apel & Govaerts, Willy & Chen, Diyi & Xu, Beibei & Xiong, Hualin, 2020. "Sensitivity analysis and low frequency oscillations for bifurcation scenarios in a hydraulic generating system," Renewable Energy, Elsevier, vol. 162(C), pages 334-344.

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