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February 2, 20260 citationsOpen Access

Cost-Effective Design of Home Energy Management System with PV-Wind and Battery Storage in a Grid-Tied Microgrid

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MRMd Mamun Ur RashidJHJiefeng HuMHMd. Alamgir Hossain

Key Points

  • The aim is to design a cost-effective home energy management system for residential consumers in a grid-tied microgrid setup.
  • Developed a simulator using C++ to model energy management solutions
  • Conducted three case studies with 10 residential users
  • Focused on scheduling local energy flows to optimize consumption
  • Achieved a reduction of grid energy consumption by up to 51%
  • Reduced costs by 58% compared to current techniques
  • Demonstrated effectiveness through simulation results

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 by 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.

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Cite This Study

Rashid et al. (2026) studied this question.

synapsesocial.com/papers/6980fc73c1c9540dea80e3abhttps://doi.org/10.2516/stet/2026005/pdf
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