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Fuzzy Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems

Author

Listed:
  • Daniel C. C. Crisóstomo

    (Department of Sciences and Technology, Federal Rural University of Semi-Arid (DCT-UFERSA), Caraúbas 59780-000, Brazil)

  • Thiago F. do Nascimento

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil)

  • Evandro A. D. F. Nunes

    (The Federal Institute of Education, Science and Technology of Bahia (IFBA), Salvador 40301-015, Brazil)

  • Elmer Villarreal

    (Department of Natural Sciences, Mathematics and Statistics, Federal Rural University of Semi-Arid (DCME-UFERSA), Mossoró 59625-900, Brazil)

  • Ricardo Pinheiro

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil)

  • Andrés Salazar

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil)

Abstract

This paper presents the implementation of a fuzzy control strategy for speed regulation of an electromagnetic frequency regulator (EFR) prototype, aiming to eliminate the dependence on knowledge of physical parameters in the most diverse operating conditions. Speed multiplication is one of the most important steps in wind power generation. Gearboxes are generally used for this purpose. However, they have a reduced lifespan and a high failure rate, and are still noise sources. The search for new ways to match the speed (and torque) between the turbine and the generator is an important research area to increase the energy, financial, and environmental efficiency of wind systems. The EFR device is an example of an alternative technology that this team of researchers has proposed. It considers the main advantages of an induction machine with the rotor in a squirrel cage positively. In the first studies, the EFR control strategy consisted of the conventional PID controllers, which have several limitations that are widely discussed in the literature. This strategy also limits the EFR’s performance, considering its entire operating range. The simulation program was developed using the Matlab/Simulink platform, while the experimental results were obtained in the laboratory emulating the EFR-based system. The EFR prototype has 2 poles, a nominal power of 2.2 kW, and a nominal frequency of 60 Hz. Experimental results were presented to validate the efficiency of the proposed control strategy.

Suggested Citation

  • Daniel C. C. Crisóstomo & Thiago F. do Nascimento & Evandro A. D. F. Nunes & Elmer Villarreal & Ricardo Pinheiro & Andrés Salazar, 2022. "Fuzzy Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems," Energies, MDPI, vol. 15(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7011-:d:923846
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    References listed on IDEAS

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    1. Alhmoud, Lina & Wang, Bingsen, 2018. "A review of the state-of-the-art in wind-energy reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1643-1651.
    2. Juliano C. L. da Silva & Thales Ramos & Manoel F. Medeiros Júnior, 2021. "Modeling and Harmonic Impact Mitigation of Grid-Connected SCIG Driven by an Electromagnetic Frequency Regulator," Energies, MDPI, vol. 14(15), pages 1-21, July.
    3. Thiago F. do Nascimento & Evandro A. D. F. Nunes & Elmer R. L. Villarreal & Ricardo F. Pinheiro & Andrés O. Salazar, 2022. "Performance Analysis of an Electromagnetic Frequency Regulator under Parametric Variations for Wind System Applications," Energies, MDPI, vol. 15(8), pages 1-27, April.
    4. Thales Ramos & Manoel F. Medeiros Júnior & Ricardo Pinheiro & Arthur Medeiros, 2019. "Slip Control of a Squirrel Cage Induction Generator Driven by an Electromagnetic Frequency Regulator to Achieve the Maximum Power Point Tracking," Energies, MDPI, vol. 12(11), pages 1-19, June.
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