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Aggregated dynamic model for wind farms with doubly fed induction generator wind turbines

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  • Fernández, Luis M.
  • Jurado, Francisco
  • Saenz, José Ramón

Abstract

As a result of increasing wind farms penetration in power systems, the wind farms begin to influence power system, and thus the modelling of wind farms has become an interesting research topic. Nowadays, doubly fed induction generator based on wind turbine is the most widely used technology for wind farms due to its main advantages such as high-energy efficiency and controllability, and improved power quality. When the impact of a wind farm on power systems is studied, the behavior of the wind farm at the point common coupling to grid can be represented by an equivalent model derived from the aggregation of wind turbines into an equivalent wind turbine, instead of the complete model including the modelling of all the wind turbines. In this paper, a new equivalent model of wind farms with doubly fed induction generator wind turbines is proposed to represent the collective response of the wind farm by one single equivalent wind turbine, even although the aggregated wind turbines operate receiving different incoming winds. The effectiveness of the equivalent model to represent the collective response of the wind farm is demonstrated by comparing the simulation results of equivalent and complete models both during normal operation and grid disturbances.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:1:p:129-140
    DOI: 10.1016/j.renene.2007.01.010
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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.
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    Cited by:

    1. Khaoula Ghefiri & Aitor J. Garrido & Eugen Rusu & Soufiene Bouallègue & Joseph Haggège & Izaskun Garrido, 2018. "Fuzzy Supervision Based-Pitch Angle Control of a Tidal Stream Generator for a Disturbed Tidal Input," Energies, MDPI, vol. 11(11), pages 1-21, November.
    2. Khaoula Ghefiri & Soufiene Bouallègue & Izaskun Garrido & Aitor J. Garrido & Joseph Haggège, 2017. "Complementary Power Control for Doubly Fed Induction Generator-Based Tidal Stream Turbine Generation Plants," Energies, MDPI, vol. 10(7), pages 1-23, June.
    3. Wenying Liu & Rundong Ge & Huiyong Li & Jiangbei Ge, 2014. "Impact of Large-Scale Wind Power Integration on Small Signal Stability Based on Stability Region Boundary," Sustainability, MDPI, vol. 6(11), pages 1-24, November.
    4. Rundong Ge & Wenying Liu & Huiyong Li & Jianzong Zhuo & Weizhou Wang, 2015. "Research on the Multi-Period Small-Signal Stability Probability of a Power System with Wind Farms Based on the Markov Chain," Sustainability, MDPI, vol. 7(4), pages 1-18, April.
    5. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2008. "Comparative study on the performance of control systems for doubly fed induction generator (DFIG) wind turbines operating with power regulation," Energy, Elsevier, vol. 33(9), pages 1438-1452.
    6. 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.
    7. 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.
    8. Khaoula Ghefiri & Izaskun Garrido & Soufiene Bouallègue & Joseph Haggège & Aitor J. Garrido, 2018. "Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    9. Ye Fengchun & Girmaw Teshager Bitew & Han Minxiao & Sun Yao & Zhang Hanhua, 2019. "Variable Speed Pump Storage for the Mitigation of SSR in Power System with Wind Generation," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    10. Jian Zhang & Mingjian Cui & Yigang He, 2020. "Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator (PMSG) Wind Farm Based on Analysis of Trajectory Sensitivity," Energies, MDPI, vol. 13(18), pages 1-18, September.
    11. 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.
    12. Gupta, Akhilesh Prakash & Mohapatra, A. & Singh, S.N., 2021. "Measurement based parameters estimation of large scale wind farm dynamic equivalent model," Renewable Energy, Elsevier, vol. 168(C), pages 1388-1398.
    13. Zhang, Jian & Cui, Mingjian & He, Yigang, 2020. "Robustness and adaptability analysis for equivalent model of doubly fed induction generator wind farm using measured data," Applied Energy, Elsevier, vol. 261(C).
    14. Mohammad Kazem Bakhshizadeh & Benjamin Vilmann & Łukasz Kocewiak, 2022. "Modal Aggregation Technique to Check the Accuracy of the Model Reduction of Array Cable Systems in Offshore Wind Farms," Energies, MDPI, vol. 15(21), pages 1-19, October.
    15. Gaillard, A. & Poure, P. & Saadate, S. & Machmoum, M., 2009. "Variable speed DFIG wind energy system for power generation and harmonic current mitigation," Renewable Energy, Elsevier, vol. 34(6), pages 1545-1553.
    16. Jafarian, M. & Ranjbar, A.M., 2013. "The impact of wind farms with doubly fed induction generators on power system electromechanical oscillations," Renewable Energy, Elsevier, vol. 50(C), pages 780-785.
    17. Mercado-Vargas, M.J. & Gómez-Lorente, D. & Rabaza, O. & Alameda-Hernandez, E., 2015. "Aggregated models of permanent magnet synchronous generators wind farms," Renewable Energy, Elsevier, vol. 83(C), pages 1287-1298.

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