IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v231y2025icp120-127.html
   My bibliography  Save this article

Multi-objective model for residential energy management in context of individual self-consumption

Author

Listed:
  • Ramos, Sérgio
  • Roque, Luís A.C.
  • Gomes, António
  • Soares, João
  • Rolle, José Calvo
  • Vale, Zita

Abstract

The European Union (EU) strongly urged its member states to take action to establish energy communities. Domestic consumers now have the opportunity to organize themselves to play an active and decisive role in the electricity supply chain and make a solid contribution to an ecological footprint. This work proposes residential energy management, considering renewable resources production (photovoltaic panels) and energy storage systems for individual self-consumption approach and boosting future participation in energy community interactions. A multi-objective optimization model using Biased Random Key Genetic Algorithm (BRKGA) was adapted and implemented to minimize electricity consumption costs and maximize self-consumption usage. An energy storage system with 10 kW was considered to optimize electricity management. Two scenarios were proposed, one considering a residential prosumer with a photovoltaic (PV) power installed value of 3.56kWp and the other with 4.20kWp. The results showed a reduction in electricity consumption between 7 % and 8 % and an increase in self-consumption supported by a battery energy storage system of nearly 50 %. Data from an actual system were used to obtain realistic scenarios.

Suggested Citation

  • Ramos, Sérgio & Roque, Luís A.C. & Gomes, António & Soares, João & Rolle, José Calvo & Vale, Zita, 2025. "Multi-objective model for residential energy management in context of individual self-consumption," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 231(C), pages 120-127.
    • Handle: RePEc:eee:matcom:v:231:y:2025:i:c:p:120-127
    DOI: 10.1016/j.matcom.2024.11.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037847542400466X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2024.11.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:matcom:v:231:y:2025:i:c:p:120-127. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.