IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3401-d809809.html
   My bibliography  Save this article

Advanced Control Techniques for Wind/Solar/Battery Systems

Author

Listed:
  • Dinko Vukadinović

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 21000 Split, Croatia)

Abstract

This Editorial summarizes the papers of the Special Issue entitled ‘Advanced Control Techniques for Wind/Solar/Battery Systems’ published in Energies . The Special Issue includes four scientific articles published in 2021 and 2022 in the field of quasi-Z-Source inverter control, photovoltaic energy conversion, battery charge control, wind turbine speed control, and solar irradiance prediction. New scientific achievements with experimental verifications of the achieved results are presented in all articles.

Suggested Citation

  • Dinko Vukadinović, 2022. "Advanced Control Techniques for Wind/Solar/Battery Systems," Energies, MDPI, vol. 15(9), pages 1-2, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3401-:d:809809
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3401/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/9/3401/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aleksander Radovan & Viktor Šunde & Danijel Kučak & Željko Ban, 2021. "Solar Irradiance Forecast Based on Cloud Movement Prediction," Energies, MDPI, vol. 14(13), pages 1-25, June.
    2. Ivan Grgić & Dinko Vukadinović & Mateo Bašić & Matija Bubalo, 2022. "Photovoltaic System with a Battery-Assisted Quasi-Z-Source Inverter: Improved Control System Design Based on a Novel Small-Signal Model," Energies, MDPI, vol. 15(3), pages 1-29, January.
    3. Ivan Grgić & Dinko Vukadinović & Mateo Bašić & Matija Bubalo, 2021. "Efficiency Boost of a Quasi-Z-Source Inverter: A Novel Shoot-Through Injection Method with Dead-Time," Energies, MDPI, vol. 14(14), pages 1-24, July.
    Full references (including those not matched with items on IDEAS)

    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. Yanfei Cao & Shuxin Xiao & Zhichen Lin, 2022. "A Flying Restart Strategy for Position Sensorless PMSM Driven by Quasi-Z-Source Inverter," Energies, MDPI, vol. 15(9), pages 1-15, May.
    2. Jeehong Kim & Seok-ho Lee & Kil To Chong, 2022. "A Study of Neural Network Framework for Power Generation Prediction of a Solar Power Plant," Energies, MDPI, vol. 15(22), pages 1-19, November.
    3. Rafael Santos & Marcus V. M. Rodrigues & Luis De Oro Arenas & Flávio A. S. Gonçalves, 2023. "A Comprehensive Small-Signal Model Formulation and Analysis for the Quasi-Y Impedance-Source Inverter," Energies, MDPI, vol. 16(13), pages 1-24, June.
    4. Wen-Chang Tsai & Chia-Sheng Tu & Chih-Ming Hong & Whei-Min Lin, 2023. "A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation," Energies, MDPI, vol. 16(14), pages 1-30, 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:15:y:2022:i:9:p:3401-:d:809809. 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.