Overview of subsynchronous resonance analysis and control in wind turbines
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DOI: 10.1016/j.rser.2013.06.025
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Citations
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Cited by:
- Mararakanye, Ndamulelo & Bekker, Bernard, 2019. "Renewable energy integration impacts within the context of generator type, penetration level and grid characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 441-451.
- 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.
- Howlader, Abdul Motin & Senjyu, Tomonobu, 2016. "A comprehensive review of low voltage ride through capability strategies for the wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 643-658.
- Lin, Yonggang & Tu, Le & Liu, Hongwei & Li, Wei, 2016. "Fault analysis of wind turbines in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 482-490.
- 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.
- Mansouri, M.Mahdi & Nayeripour, Majid & Negnevitsky, Michael, 2016. "Internal electrical protection of wind turbine with doubly fed induction generator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 840-855.
- 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.
- Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
- Virulkar, V.B. & Gotmare, G.V., 2016. "Sub-synchronous resonance in series compensated wind farm: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1010-1029.
- Karabacak, Kerim & Cetin, Numan, 2014. "Artificial neural networks for controlling wind–PV power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 804-827.
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Keywords
Wind turbine; Subsynchronous resonance (SSR); Double-fed induction generators (DFIG); FACTS devices;All these keywords.
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