IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v50y2013icp378-386.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148112004107
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2012.06.058?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. 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.
    3. Machmoum, Mohamed & Hatoum, Ahmad & Bouaouiche, Toufik, 2010. "Flicker mitigation in a doubly fed induction generator wind turbine system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 433-445.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    3. Agalar, Sener & Kaplan, Yusuf Alper, 2018. "Power quality improvement using STS and DVR in wind energy system," Renewable Energy, Elsevier, vol. 118(C), pages 1031-1040.
    4. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    5. Li, Yong & He, Li & Liu, Fang & Tan, Yi & Cao, Yijia & Luo, Longfu & Shahidehpour, Mohammod, 2018. "A dynamic coordinated control strategy of WTG-ES combined system for short-term frequency support," Renewable Energy, Elsevier, vol. 119(C), pages 1-11.
    6. 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.
    7. Belkacem Belabbas & Tayeb Allaoui & Mohamed Tadjine & Mouloud Denai, 2019. "Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator," 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(6), pages 1555-1566, December.
    8. 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.
    9. 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.
    10. 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.
    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. 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).
    13. Li, Jiale & Song, Zihao & Wang, Xuefei & Wang, Yanru & Jia, Yaya, 2022. "A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD," Energy, Elsevier, vol. 251(C).
    14. 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.
    15. Wang, Ying & Li, Gaohui & Shen, Sheng & Huang, Diangui & Zheng, Zhongquan, 2018. "Influence of an off-surface small structure on the flow control effect on horizontal axis wind turbine at different relative inflow angles," Energy, Elsevier, vol. 160(C), pages 101-121.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hossain, Md. Faruque, 2017. "Green science: Independent building technology to mitigate energy, environment, and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 695-705.
    2. Justo, Jackson John & Mwasilu, Francis & Jung, Jin-Woo, 2015. "Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 447-467.
    3. Huda, A.S.N. & Živanović, R., 2017. "Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 974-988.
    4. M. Abdelbasset Mahboub & Said Drid & M. A. Sid & Ridha Cheikh, 2017. "Sliding mode control of grid connected brushless doubly fed induction generator driven by wind turbine in variable speed," 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. 8(2), pages 788-798, November.
    5. Pablo Fernández-Bustamante & Oscar Barambones & Isidro Calvo & Cristian Napole & Mohamed Derbeli, 2021. "Provision of Frequency Response from Wind Farms: A Review," Energies, MDPI, vol. 14(20), pages 1-24, October.
    6. Nayeripour, Majid & Mahdi Mansouri, M., 2015. "An advanced analytical calculation and modeling of the electrical and mechanical harmonics behavior of Doubly Fed Induction Generator in wind turbine," Renewable Energy, Elsevier, vol. 81(C), pages 275-285.
    7. Perera, D. & Meegahapola, L. & Perera, S. & Ciufo, P., 2014. "Characterisation of flicker emission and propagation in distribution networks with bi-directional power flows," Renewable Energy, Elsevier, vol. 63(C), pages 172-180.
    8. Qazi, Sajid Hussain & Mustafa, Mohd Wazir, 2016. "Review on active filters and its performance with grid connected fixed and variable speed wind turbine generator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 420-438.
    9. Bin Li & Jiahao Zhu & Ranran Zhou & Guoxing Wen, 2022. "Adaptive Neural Network Sliding Mode Control for a Class of SISO Nonlinear Systems," Mathematics, MDPI, vol. 10(7), pages 1-12, April.
    10. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    11. 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.
    12. Hannan, M.A. & Lipu, M.S. Hossain & Ker, Pin Jern & Begum, R.A. & Agelidis, Vasilios G. & Blaabjerg, F., 2019. "Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    13. El-Kharashi, Eyhab & Farid, Azmy Wadie, 2015. "Accurate assessment of the output energy from the doubly fed induction generators," Energy, Elsevier, vol. 93(P1), pages 406-415.
    14. Melício, R. & Mendes, V.M.F. & Catalão, J.P.S., 2010. "Power converter topologies for wind energy conversion systems: Integrated modeling, control strategy and performance simulation," Renewable Energy, Elsevier, vol. 35(10), pages 2165-2174.
    15. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.
    16. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    17. Jabbari Asl, Hamed & Yoon, Jungwon, 2016. "Power capture optimization of variable-speed wind turbines using an output feedback controller," Renewable Energy, Elsevier, vol. 86(C), pages 517-525.
    18. Sowmmiya, U. & Uma, G., 2017. "Effective performance and power transfer operation of a current controlled WRIG based WES in a hybrid grid," Renewable Energy, Elsevier, vol. 101(C), pages 1052-1066.
    19. Muhammad Jabir & Hazlee Azil Illias & Safdar Raza & Hazlie Mokhlis, 2017. "Intermittent Smoothing Approaches for Wind Power Output: A Review," Energies, MDPI, vol. 10(10), pages 1-23, October.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:50:y:2013:i:c:p:378-386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.