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

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) insta...

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Bibliographic Details
Published in:Energies (Basel) 2024-01, Vol.17 (1), p.254
Main Authors: Prum, Puthisovathat, Charoen, Prasertsak, Khan, Mohammed Ali, Bayati, Navid, Charoenlarpnopparut, Chalie
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Automobiles, Electric
Batteries
battery energy storage system
Case studies
Costs
electric vehicle
Electricity
Energy management
Energy management systems
Energy use
Heuristic
home energy management
Linear programming
Methods
optimization
Optimization techniques
photovoltaic
Scheduling
Simulation
smart home
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17010254