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A survey of dynamic equivalent modeling for wind farm

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  • Zou, Jianxiao
  • Peng, Chao
  • Yan, Yan
  • Zheng, Hong
  • Li, Yan

Abstract

With the increasing of grid connected wind power capacity, dynamic equivalent modeling for large wind farm have become more and more important as the tool to analyze the influence of power system stability with large-scale grid-connected wind farms. Recently doubly-fed induction wind generator (DFIG) has become the mainstream wind turbine used in wind farm for its virtue in wind power conversion efficiency and active power regulation activity. Thus, DFIG based wind farm has attracted more and more attention. This paper provided an overview of dynamic equivalent modeling for wind farm. At first, the structure of DFIG dynamic model, the principle and characteristic of each part are introduced. Secondly, various dynamic equivalent modeling methods for wind farm, including single-machine representation method and multi-machine representation method, are discussed in details. Meanwhile, the calculation methods for equivalent unit parameters for multi-machine representation based modeling are discussed. Finally the current researches and existing problems of the dynamic equivalent modeling for wind farm are summarized.

Suggested Citation

  • Zou, Jianxiao & Peng, Chao & Yan, Yan & Zheng, Hong & Li, Yan, 2014. "A survey of dynamic equivalent modeling for wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 956-963.
    • Handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:956-963
    DOI: 10.1016/j.rser.2014.07.157
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    References listed on IDEAS

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    1. Fernández, Luis M. & Saenz, José Ramón & Jurado, Francisco, 2006. "Dynamic models of wind farms with fixed speed wind turbines," Renewable Energy, Elsevier, vol. 31(8), pages 1203-1230.
    2. Fernández, Luis M. & Jurado, Francisco & Saenz, José Ramón, 2008. "Aggregated dynamic model for wind farms with doubly fed induction generator wind turbines," Renewable Energy, Elsevier, vol. 33(1), pages 129-140.
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    Cited by:

    1. Ridha Cheikh & Hocine Belmili & Arezki Menacer & Said Drid & L. Chrifi-Alaoui, 2019. "Dynamic behavior analysis under a grid fault scenario of a 2 MW double fed induction generator-based wind turbine: comparative study of the reference frame orientation approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 632-643, August.
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    3. Zong, Haoxiang & Lyu, Jing & Wang, Xiao & Zhang, Chen & Zhang, Ruifang & Cai, Xu, 2021. "Grey box aggregation modeling of wind farm for wideband oscillations analysis," Applied Energy, Elsevier, vol. 283(C).
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    5. 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).
    6. Qunli Wu & Chenyang Peng, 2015. "Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm," Energies, MDPI, vol. 8(12), pages 1-15, December.
    7. Naemi, Mostafa & Brear, Michael J., 2020. "A hierarchical, physical and data-driven approach to wind farm modelling," Renewable Energy, Elsevier, vol. 162(C), pages 1195-1207.
    8. Yi Tang & Jianfeng Dai & Jia Ning & Jie Dang & Yan Li & Xinshou Tian, 2017. "An Extended System Frequency Response Model Considering Wind Power Participation in Frequency Regulation," Energies, MDPI, vol. 10(11), pages 1-18, November.
    9. Pingping Han & Zihao Lin & Lei Wang & Guijun Fan & Xiaoan Zhang, 2018. "A Survey on Equivalence Modeling for Large-Scale Photovoltaic Power Plants," Energies, MDPI, vol. 11(6), pages 1-14, June.

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