Research on Energy-saving Control Strategy of Residents' Smart Home

According to the typical household electricity consumption mode, the types of household electricity consumption are divided, and the electricity consumption strategies and constraints of typical electrical equipment, such as cooking, laundry, air conditioning, electric water heaters and electric vehicles, are given. Taking the minimization of electricity consumption as the objective function, the optimization model of electricity consumption management scheduling control strategy for smart homes is constructed, and the optimal solution of electricity consumption control strategy is obtained by programming and combining the data of actual typical families. It is found that intelligent power consumption management can effectively save the household electricity consumption, and it can shift the peak and fill the valley of the user's electricity consumption curve, which has a certain effect on energy saving and emission reduction in the power industry.

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Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/iceace63551.2024.10898476
Primary Topic
Energy and Environmental Systems
Type
article
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Research on Energy-saving Control Strategy of Residents' Smart Home

Jian Sun, Zhiyuan Cao, Weiqi Zhang, Dechao Yang et al.
Energy and Environmental Systems
article

Research on Energy-saving Control Strategy of Residents' Smart Home

Jian Sun, Zhiyuan Cao, Weiqi Zhang, Dechao Yang, Huilin Wang
article en

Abstract

According to the typical household electricity consumption mode, the types of household electricity consumption are divided, and the electricity consumption strategies and constraints of typical electrical equipment, such as cooking, laundry, air conditioning, electric water heaters and electric vehicles, are given. Taking the minimization of electricity consumption as the objective function, the optimization model of electricity consumption management scheduling control strategy for smart homes is constructed, and the optimal solution of electricity consumption control strategy is obtained by programming and combining the data of actual typical families. It is found that intelligent power consumption management can effectively save the household electricity consumption, and it can shift the peak and fill the valley of the user's electricity consumption curve, which has a certain effect on energy saving and emission reduction in the power industry.

Inner Mongolia Electric Power (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Energy and Environmental Systems
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