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Multi-objective Scheduling of Smart Homes Integrated with Renewable Energy Sources and Energy Storage Systems | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 1، دوره 9، شماره 3، آذر 2026، صفحه 245-260 اصل مقاله (1.27 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2025.51901.1687 | ||
| نویسندگان | ||
| Mehran Haghighi1؛ Hamid Karimi* 2؛ Shahram Jadid1 | ||
| 1Department of Electrical Engineering, Center of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Iran. | ||
| 2Department of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran | ||
| چکیده | ||
| A home energy management system optimizes the electrical demand of household appliances according to price-based demand response programs. In this paper, we proposed a price-based demand response for a smart home with different types of appliances according to customer satisfaction, which also used electric and thermal storage systems. In the proposed method, various appliances were considered in the smart home modeled by the energy hub system. A multi-objective daily management is proposed which considered electricity costs and customer satisfaction simultaneously to provide comprehensive management for smart homes. This paper presents a multi-objective optimization approach that not only minimizes operating costs and maximizes customer satisfaction but also reduces environmental impacts through emission reduction, creating a more sustainable energy management system. After solving the multi-objective problem, the technique for order preference by similarity to the ideal solution was used to rank the solutions, considering the preference of the decision-maker. The proposed model investigates the response of the smart home energy system in different conditions. Also, stochastic optimization was applied to model the probabilistic nature of demands, PV, and wind energy. The simulation results demonstrate that the proposed method reduces the consumer dissatisfaction by 79.9% and reduces the range from 199 to 40 | ||
| کلیدواژهها | ||
| Demand Response؛ Home Energy Management System (HEMS)؛ Customer Satisfaction؛ TOPSIS Method؛ Household Appliances | ||
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آمار تعداد مشاهده مقاله: 498 تعداد دریافت فایل اصل مقاله: 321 |
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