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Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement

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  • Boutoubat, M.
  • Mokrani, L.
  • Machmoum, M.

Abstract

The aim of this paper is to improve the reactive power compensation and active filtering capability of a Wind Energy Conversion System (WECS). The proposed algorithm is applied to a Doubly Fed Induction Generator (DFIG) with a stator directly connected to the grid and a rotor connected to the grid through a back-to-back AC-DC-AC PWM converter. The control strategy of the Rotor Side Converter (RSC) aims, at first, to extract a maximum of power under fluctuating wind speed. Then, depending on the rate power of the RSC, the power quality can be improved by compensating the reactive power and the grid harmonics current due to nonlinear loads. Hence, the RSC is controlled in order to manage the WECS function's priorities, between production of the maximum active power captured from the wind, and power quality improvement. The main goal of the proposed control strategy is to operate the RSC at its full capacity, without any over-rating, in terms of reactive power compensation and active filtering capability. Elsewhere, the Grid Side Converter (GSC) is controlled in such a way to guarantee a smooth DC voltage and ensure sinusoidal current in the grid side. Simulation results show that the wind turbine can operate at its optimum power point for a wide range of wind speed and power quality can be improved. It has been shown also that the proposed strategy allows an operating full capacity of the RSC in terms of reactive power compensation and active filtering.

Suggested Citation

  • Boutoubat, M. & Mokrani, L. & Machmoum, M., 2013. "Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement," Renewable Energy, Elsevier, vol. 50(C), pages 378-386.
    • Handle: RePEc:eee:renene:v:50:y:2013:i:c:p:378-386
    DOI: 10.1016/j.renene.2012.06.058
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    References listed on IDEAS

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    1. Shahbazi, Mahmoud & Poure, Philippe & Saadate, Shahrokh & Zolghadri, Mohammad Reza, 2011. "Five-leg converter topology for wind energy conversion system with doubly fed induction generator," Renewable Energy, Elsevier, vol. 36(11), pages 3187-3194.
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    3. 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.
    4. Soares, Orlando & Gonçalves, Henrique & Martins, António & Carvalho, Adriano, 2010. "Nonlinear control of the doubly-fed induction generator in wind power systems," Renewable Energy, Elsevier, vol. 35(8), pages 1662-1670.
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    Cited by:

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    6. Kai Liao & Yao Wang, 2017. "A Comparison between Voltage and Reactive Power Feedback Schemes of DFIGs for Inter-Area Oscillation Damping Control," Energies, MDPI, vol. 10(8), pages 1-17, August.
    7. Mishra, Anirban & Tripathi, P.M. & Chatterjee, Kalyan, 2018. "A review of harmonic elimination techniques in grid connected doubly fed induction generator based wind energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 1-15.
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    9. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie., 2016. "A significant reduction in the costs of battery energy storage systems by use of smart parking lots in the power fluctuation smoothing process of the wind farms," Renewable Energy, Elsevier, vol. 87(P1), pages 1-14.
    10. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie, 2016. "ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity," Energy, Elsevier, vol. 101(C), pages 1-8.
    11. 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.
    12. Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    13. Xiaojun Shen & Chongchen Zhou & Guojie Li & Xuejiao Fu & Tek Tjing Lie, 2018. "Overview of Wind Parameters Sensing Methods and Framework of a Novel MCSPV Recombination Sensing Method for Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-23, July.
    14. Gyatso, Ngawang & Li, Ye & Gao, Zhiteng & Wang, Qiang & Li, Shoutu & Yin, Qiang & Chen, Junbo & Jin, Peng & Liu, Zhengshu & Ma, Zengyi & Chen, Xuefeng & Feng, Jiajia & Dorje,, 2023. "Wind power performance assessment at high plateau region: A case study of the wind farm field test on the Qinghai-Tibet plateau," Applied Energy, Elsevier, vol. 336(C).
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