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Switched Reluctance Generator for Low Voltage DC Microgrid Operation: Experimental Validation

Author

Listed:
  • Abdoulaye Sarr

    (Group of Electrical Engineering of Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, 3-11 Rue Joliot Curie, 91192 Gif Sur Yvette, France)

  • Imen Bahri

    (Group of Electrical Engineering of Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, 3-11 Rue Joliot Curie, 91192 Gif Sur Yvette, France)

  • Eric Berthelot

    (Group of Electrical Engineering of Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, 3-11 Rue Joliot Curie, 91192 Gif Sur Yvette, France)

  • Abdoulaye Kebe

    (Ecole Nationale Superieure d’Enseignement Technique et Professionnel, Universite Cheikh Anta Diop, Dakar 999066, Senegal)

  • Demba Diallo

    (Group of Electrical Engineering of Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, 3-11 Rue Joliot Curie, 91192 Gif Sur Yvette, France
    College of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China)

Abstract

This paper presents the control of a Switched Reluctance Generator (SRG) for low voltage DC grid with the objective of efficiency maximizing. Analysis of the energy conversion, including electrical machine losses (Joule, magnetic, mechanical) and power converter losses (switching and conduction), has shown that there is an optimal combination of control variables (turn-on and conduction angles, phase current reference), which maximizes the drive efficiency. The control variables are derived from a Finite Element Analysis and parametric optimization algorithm for all of the operating points in the torque-speed plane and stored in lookup tables. The performances are evaluated with intensive numerical simulations and experimental tests with a 8/6 SRG feeding a DC resistive load for different rotational speeds. The results show good performances of the output DC voltage control with low ripples, even in the presence of speed and load variations. Thanks to the optimization, simulation results show that beyond 1500 rpm, drive efficiency is higher than 60 % and almost reaches 70 % at nominal speed. The experimental results show that, for light loads and beyond rated speed, the drive efficiency lies in the range between 60 % and 80 % .

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3032-:d:370479
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    References listed on IDEAS

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    1. 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.
    2. Barros, Tarcio A.S. & Neto, Pedro J.S. & Filho, Paulo S.N. & Moreira, Adson B. & Ruppert, Ernesto, 2016. "Approach for performance optimization of switched reluctance generator in variable-speed wind generation system," Renewable Energy, Elsevier, vol. 97(C), pages 114-128.
    3. Shouliang Han & Shumei Cui & Liwei Song & Ching Chuen Chan, 2014. "Electromagnetic Analysis and Design of Switched Reluctance Double-Rotor Machine for Hybrid Electric Vehicles," Energies, MDPI, vol. 7(10), pages 1-24, October.
    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.
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    Cited by:

    1. 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.
    2. 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.

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