IDEAS home Printed from https://ideas.repec.org/a/igg/jamc00/v11y2020i1p61-72.html
   My bibliography  Save this article

Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid

Author

Listed:
  • Dalia Fendri

    (University of Sfax, Sfax, Tunisia)

  • Maher Chaabene

    (Control of Electrical Machines and Power Networks Unit (CMERP), University of Sfax, Sfax, Tunisia)

Abstract

Renewable energy-based autonomous installations sometimes have an energy deficiency or excess caused by the intermittence of renewable sources and the dynamics of the load. Storage systems are unable to cover load supply during long weather instability. In case of neighboring autonomous installations, some have a lack of energy while neighbors have overproduction. Hence, interconnecting installations via a micro-grid (MG) should allow supply installations experiencing an energy lack by sending them energy surplus from others. This article presents a Hybrid Petri Net (HPN) strategy for a micro-grid energy provider in order to make hourly decisions on dispatching energy between the connected installations. An HPN model combines discrete events (house energy state) and continuous events (energy flow) to cover the need of some installations by energy surplus offered by its neighbours. The algorithm has been validated for three connected houses with different load profiles. Results show that installations cover each other in energy without the need to refer to their batteries in case of a lack of energy.

Suggested Citation

  • Dalia Fendri & Maher Chaabene, 2020. "Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 11(1), pages 61-72, January.
    • Handle: RePEc:igg:jamc00:v:11:y:2020:i:1:p:61-72
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMC.2020010105
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jamc00:v:11:y:2020:i:1:p:61-72. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.