| Issue |
Sci. Tech. Energ. Transition
Volume 81, 2026
Innovative Strategies and Technologies for Sustainable Renewable Energy and Low-Carbon Development
|
|
|---|---|---|
| Article Number | 10 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.2516/stet/2026005 | |
| Published online | 6 avril 2026 | |
Regular Article
Cost-effective design of home energy management system with PV-wind and battery storage in a grid-tied microgrid
1
Centre for New Energy Transition Research (CfNETR), Federation University Australia, Mt. Helen, VIC 3353, Australia
2
School of Science, Engineering and Digital Technologies, University of Southern Queensland, Toowoomba, QLD 4350, Australia
3
Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
4
Department of Computer Science, Edith Cowan University, Joondalup WA 6027, Australia
5
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, PR China
* Corresponding author: Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Received:
3
February
2025
Accepted:
28
January
2026
Abstract
The rising energy demand and the limited availability of traditional energy sources have driven the search for renewable energy alternatives. Over the past few years, more renewable energy sources and significant efforts have been carried out around the World to decrease carbon emissions in the utility sector. To support this development, microgrids have emerged as a smart component of the future power grid. Microgrids, powered by local energy resources, are the most effective for building the new power grid. In microgrids, an Energy Management System (EMS) is an essential element in scheduling the local energy flows. This paper focuses on the cost-effective design of home energy management in a grid-tied microgrid framework to reduce electricity consumption and the dependency on the utility grid for residential consumers. This scheme is synthesized through a simulator developed on a C++ platform to obtain the best energy management solutions. Three case studies with 10 residential users are considered in this research. Simulation results are provided to demonstrate the effectiveness of the proposed model. The proposed methods curtail the grid energy and cost up to 51% and 58%, respectively, in comparison to the current techniques.
Key words: Home Energy Management (HEM) / Solar PV system / Wind turbine / Battery storage system (BSS) / Utility grid / Electricity cost
© The Author(s), published by EDP Sciences, 2026
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