IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p795-d730803.html
   My bibliography  Save this article

Modeling of the Off-Grid PV-Wind-Battery System Regarding Value of Loss of Load Probability

Author

Listed:
  • Rebeka Raff

    (Public Institution County Development Agency of Osijek-Baranja County, 31000 Osijek, Croatia)

  • Velimir Golub

    (Vodovod Osijek d.o.o., 31000 Osijek, Croatia)

  • Goran Knežević

    (Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Danijel Topić

    (Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

Abstract

The paper presents an optimized off-grid photovoltaic (PV)-wind battery model that considers the value of loss of load probability (LOLP). The optimum combination of all model components: wind turbines, PV panels, batteries and electrical load for the City of Osijek using MATLAB software is defined. The examined data are based on measured load values for the residential home. For values of LOLP in the range from 0.00 to 0.10 in steps of 0.01, optimal size of the presented system has been determined. In order to determine the optimal model, investment costs were taken into account in comparison with various LOLP values.

Suggested Citation

  • Rebeka Raff & Velimir Golub & Goran Knežević & Danijel Topić, 2022. "Modeling of the Off-Grid PV-Wind-Battery System Regarding Value of Loss of Load Probability," Energies, MDPI, vol. 15(3), pages 1-11, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:795-:d:730803
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/795/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/3/795/
    Download Restriction: no
    ---><---

    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:3:p:795-:d:730803. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.