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Efficiency Enhancement of Switched Reluctance Generator Employing Optimized Control Associated with Tracking Technique

Author

Listed:
  • Wanderson R. H. Araujo

    (Systems Research and Development Group and Computational Modeling (GSiM), Federal Institute of Goias, Goiania 75250-000, Brazil
    Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    Polytechnic School, Pontifical Catholic University of Goias, Goiania 74605-220, Brazil)

  • Marcio R. C. Reis

    (Systems Research and Development Group and Computational Modeling (GSiM), Federal Institute of Goias, Goiania 75250-000, Brazil
    Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil)

  • Gabriel A. Wainer

    (Visualization, Simulation and Modeling, Carleton University, Ottawa, ON 1125, Canada)

  • Wesley P. Calixto

    (Systems Research and Development Group and Computational Modeling (GSiM), Federal Institute of Goias, Goiania 75250-000, Brazil
    Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil)

Abstract

This article presents studies related to the driving and control of the switched reluctance generator in order to enhance its efficiency. This type of electrical machine is an option for wind energy conversion systems, favoring the generation of electricity in distributed generation systems and contributing positively to loads without access to the main grid. The studies developed in this paper verify the possibility of controlling the output voltage of the switched reluctance generator in parallel with an efficiency tracking technique acting on the switching angles of the power converter. Simulation and experimental results are presented in order to verify the feasibility of implementing this technique to enhance the efficiency of the generator.

Suggested Citation

  • Wanderson R. H. Araujo & Marcio R. C. Reis & Gabriel A. Wainer & Wesley P. Calixto, 2021. "Efficiency Enhancement of Switched Reluctance Generator Employing Optimized Control Associated with Tracking Technique," Energies, MDPI, vol. 14(24), pages 1-26, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8388-:d:701087
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    References listed on IDEAS

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    1. Abdoulaye Sarr & Imen Bahri & Eric Berthelot & Abdoulaye Kebe & Demba Diallo, 2020. "Switched Reluctance Generator for Low Voltage DC Microgrid Operation: Experimental Validation," Energies, MDPI, vol. 13(12), pages 1-16, June.
    2. Alfeu J. Sguarezi Filho & Tarcio Barros & Ernesto Ruppert, 2013. "Direct Power Control for Switched Reluctance Generator in Wind Energy," Chapters, in: S. M. Muyeen & Ahmed Al-Durra (ed.), Modeling and Control Aspects of Wind Power Systems, IntechOpen.
    3. Abelardo Martinez-Iturbe & Francisco Jose Perez-Cebolla & Bonifacio Martín-del-Brío & Carlos Bernal & Antonio Bono-Nuez, 2016. "Energy Transformations in a Self-Excited Switched Reluctance Generator," Energies, MDPI, vol. 9(5), pages 1-13, April.
    4. Rui Mendes & Maria Do Rosário Calado & Sílvio Mariano, 2018. "Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator," Energies, MDPI, vol. 11(9), pages 1-18, August.
    5. Hye-Ung Shin & Kiwoo Park & Kyo-Beum Lee, 2015. "A Non-Unity Torque Sharing Function for Torque Ripple Minimization of Switched Reluctance Generators in Wind Power Systems," Energies, MDPI, vol. 8(10), pages 1-17, October.
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    Cited by:

    1. Jun Tan & Hao Chen & Xuerong Ye & Yigang Lin, 2022. "A Novel Fault Diagnosis Approach for the Manufacturing Processes of Permanent Magnet Actuators for Renewable Energy Systems," Energies, MDPI, vol. 15(13), pages 1-15, July.
    2. Zeineb Touati & Manuel Pereira & Rui Esteves Araújo & Adel Khedher, 2022. "Integration of Switched Reluctance Generator in a Wind Energy Conversion System: An Overview of the State of the Art and Challenges," Energies, MDPI, vol. 15(13), pages 1-25, June.

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