Han, Binghui and Zahraoui, Younes and Mubin, Marizan and Mekhilef, Saad and Seyedmahmoudian, Mehdi and Stojcevski, Alex (2023) Optimal strategy for comfort-based home energy management system considering impact of battery degradation cost model. Mathematics, 11 (6). ISSN 2227-7390, DOI https://doi.org/10.3390/math11061333.
Full text not available from this repository.Abstract
With the deployment of renewable energy generation, home energy storage systems (HESSs), and plug-in electric vehicles (PEVs), home energy management systems (HEMSs) are critical for end users to improve the increasingly complicated energy production and consumption in the home. However, few of the previous works study the impact of different models of battery degradation cost in the optimization strategy of a comfort-based HEMS framework. In this paper, a novel scheduling algorithm based on a mixed-integer programming (MIP) model is proposed for the HEMS. Total cost minimization, peak load shifting, and residents' thermal comfort satisfaction are combined and considered in the optimal scheduling algorithm. The impact of battery degradation costs on the charging and discharging strategy of HESS and PEV is also compared and discussed in this case study. This case study shows that the proposed optimal algorithm of HEMS not only flattens the peak load and satisfies the thermal comfort of residents but also has better flexibility and economic advantages, reducing the electricity cost by 30.84% and total cost by 24.16%. The sensitivity analysis of the parameters for the charging and discharging strategy also guarantees the lowest cost and prolongs the service life of the battery.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Optimization algorithm; Home energy management system; Degradation cost; Thermal comfort; Peak load shifting |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering Faculty of Engineering > Department of Electrical Engineering |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 16 Jul 2024 07:59 |
Last Modified: | 16 Jul 2024 07:59 |
URI: | http://eprints.um.edu.my/id/eprint/38497 |
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