IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i24p8388-d701087.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/24/8388/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/24/8388/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.

    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. 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. 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.
    3. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. Hui Cai & Hui Wang & Mengqiu Li & Shiqi Shen & Yaojing Feng & Jian Zheng, 2018. "Torque Ripple Reduction for Switched Reluctance Motor with Optimized PWM Control Strategy," Energies, MDPI, vol. 11(11), pages 1-27, November.
    5. Xuhui Yue & Jintao Zhang & Feifeng Meng & Jiaying Liu & Qijuan Chen & Dazhou Geng, 2023. "Multi-Timescale Lookup Table Based Maximum Power Point Tracking of an Inverse-Pendulum Wave Energy Converter: Power Assessments and Sensitivity Study," Energies, MDPI, vol. 16(17), pages 1-25, August.
    6. Jin Liu & Wenxiang Zhao & Jinghua Ji & Guohai Liu & Tao Tao, 2016. "A Novel Flux Focusing Magnetically Geared Machine with Reduced Eddy Current Loss," Energies, MDPI, vol. 9(11), pages 1-15, November.
    7. 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.
    8. Chun-Yu Hsiao & Chin-Hsiang Lai & Zhu-Xuan Zheng & Guan-Yu Li, 2021. "Design and Implement of Three-Phase Permanent-Magnet Synchronous Wave Generator using Taguchi Approach," Energies, MDPI, vol. 14(7), pages 1-17, April.
    9. Marios Charilaos Sousounis & Jonathan Shek, 2019. "Wave-to-Wire Power Maximization Control for All-Electric Wave Energy Converters with Non-Ideal Power Take-Off," Energies, MDPI, vol. 12(15), pages 1-27, July.

    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:gam:jeners:v:14:y:2021:i:24:p:8388-:d:701087. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.