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Energy Management Scheme for Optimizing Multiple Smart Homes Equipped with Electric Vehicles

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  • Puthisovathat Prum

    (School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University, Khlong Luang 12120, Thailand
    Centre for Industrial Electronics, University of Southern Denmark, 6400 Sønderborg, Denmark)

  • Prasertsak Charoen

    (School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University, Khlong Luang 12120, Thailand)

  • Mohammed Ali Khan

    (Centre for Industrial Electronics, University of Southern Denmark, 6400 Sønderborg, Denmark)

  • Navid Bayati

    (Centre for Industrial Electronics, University of Southern Denmark, 6400 Sønderborg, Denmark)

  • Chalie Charoenlarpnopparut

    (School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University, Khlong Luang 12120, Thailand)

Abstract

The rapid advancement in technology and rise in energy consumption have motivated research addressing Demand-Side Management (DSM). In this research, a novel design for Home Energy Management (HEM) is proposed that seamlessly integrates Battery Energy Storage Systems (BESSs), Photovoltaic (PV) installations, and Electric Vehicles (EVs). Leveraging a Mixed-Integer Linear Programming (MILP) approach, the proposed system aims to minimize electricity costs. The optimization model takes into account Real-Time Pricing (RTP) tariffs, facilitating the efficient scheduling of household appliances and optimizing patterns for BESS charging and discharging, as well as EV charging and discharging. Both individual and multiple Smart Home (SH) case studies showcase noteworthy reductions in electricity costs. In the case of multiple SHs, a remarkable cost reduction of 46.38 % was achieved compared to a traditional SH scenario lacking integration of a PV, BESS, and EV.

Suggested Citation

  • Puthisovathat Prum & Prasertsak Charoen & Mohammed Ali Khan & Navid Bayati & Chalie Charoenlarpnopparut, 2024. "Energy Management Scheme for Optimizing Multiple Smart Homes Equipped with Electric Vehicles," Energies, MDPI, vol. 17(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:1:p:254-:d:1312646
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    References listed on IDEAS

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    1. Chreim, Bashar & Esseghir, Moez & Merghem-Boulahia, Leila, 2022. "LOSISH—LOad Scheduling In Smart Homes based on demand response: Application to smart grids," Applied Energy, Elsevier, vol. 323(C).
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