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Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids

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  • Luis. A. G. Gomez

    (Laboratory of Advanced Electric Grids-LGrid, Polytechnic School, University of São Paulo - USP, São Paulo CO 05508-010, Brazil
    These authors contributed equally to this work.)

  • Ahda P. Grilo

    (Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andre CO 09210-580, Brazil
    These authors contributed equally to this work.)

  • M. B. C. Salles

    (Laboratory of Advanced Electric Grids-LGrid, Polytechnic School, University of São Paulo - USP, São Paulo CO 05508-010, Brazil
    These authors contributed equally to this work.)

  • A. J. Sguarezi Filho

    (Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andre CO 09210-580, Brazil
    These authors contributed equally to this work.)

Abstract

This paper presents a novel methodology for frequency control of a microgrid through doubly fed induction generator (DFIG) employing battery energy storage system (BESS) and droop control. The proposed microgrid frequency control is the result of the active power injection from the droop control implemented in the grid side converter (GSC) of the DFIG, and the BESS implemented in the DC link of the back-to-back converter also in the DFIG. This methodology guarantees the battery system charge during operation of the connected DFIG in the network, and the frequency control in microgrid operation after an intentional disturbance. In order for the DFIG to provide frequency support to the microgrid, the best-performing droop gain value is selected. Afterwards its performance is evaluated individually and together with the power injected by the battery. The power used for both battery charging and frequency support is managed and processed by the GSC without affecting the normal operation of the wind system. The simulation tests are performed using Matlab/Simulink toolbox.

Suggested Citation

  • Luis. A. G. Gomez & Ahda P. Grilo & M. B. C. Salles & A. J. Sguarezi Filho, 2020. "Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids," Energies, MDPI, vol. 13(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:894-:d:321856
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    References listed on IDEAS

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    1. Eltigani, Dalia & Masri, Syafrudin, 2015. "Challenges of integrating renewable energy sources to smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 770-780.
    2. Mesbahi, Tedjani & Ouari, Ahmed & Ghennam, Tarak & Berkouk, El Madjid & Rizoug, Nassim & Mesbahi, Nadhir & Meradji, Moudrik, 2014. "A stand-alone wind power supply with a Li-ion battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 204-213.
    3. Mohseni, Mansour & Islam, Syed M., 2012. "Review of international grid codes for wind power integration: Diversity, technology and a case for global standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3876-3890.
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    Cited by:

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    3. Carlos E. Prieto Cerón & Luís F. Normandia Lourenço & Juan S. Solís-Chaves & Alfeu J. Sguarezi Filho, 2022. "A Generalized Predictive Controller for a Wind Turbine Providing Frequency Support for a Microgrid," Energies, MDPI, vol. 15(7), pages 1-20, April.
    4. Lesław Gołębiowski & Marek Gołębiowski & Bogdan Kwiatkowski, 2021. "Optimal Control of a Doubly Fed Induction Generator of a Wind Turbine in Island Grid Operation," Energies, MDPI, vol. 14(23), pages 1-34, November.
    5. Md Shafiul Alam & Fahad Saleh Al-Ismail & Mohammad Ali Abido, 2021. "PV/Wind-Integrated Low-Inertia System Frequency Control: PSO-Optimized Fractional-Order PI-Based SMES Approach," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
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    7. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.

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