An MILP Formulation for Energy Scheduling of Self-sufficient Smart Home Considering Household Appliances, and Investigating Its Energy Behavior
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 81
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJEE-15-3_006
تاریخ نمایه سازی: 28 بهمن 1402
چکیده مقاله:
The electric energy demand has been increasing, following digitalization and development of urbanization, which has led to functional enhancement of home energy management system (HEMS) and its subsystems. A great amount of the produced electricity is used for household loads, whereas self-sufficient smart homes can supply all or a large portion of their electricity consumption by using renewable energy resources. In this study, an MILP model is formulated for energy scheduling on a ۲۴-hour time horizon, to achieve the optimal performance of each home appliance for minimizing the smart home energy bill. The studied smart home can exchange electrical energy with the upstream network. A sensitivity analysis has been performed to show the impact of the changes in scheduling and energy prices on the electricity energy bill. The impact of the presence of renewable resources and electrical storage is studied on the electricity energy bill and the electrical energy sales profit of the house in different scenarios. Numerical results show that using the proposed model in the self-sufficient smart home reduces the amount of power purchased from the grid by ۴۵%, transfers energy to the grid at some hours, and the energy bill is reduced by ۶۵%.
کلیدواژه ها:
نویسندگان
F. Hasanlu
Faculty of Electerical Engineering, K. N. Toosi University of Technology, Tehran, Iran
A. Fallah-Sabet
Faculty of Electerical Engineering, K. N. Toosi University of Technology, Tehran, Iran
A. Fereidunian
Faculty of Electerical Engineering, K. N. Toosi University of Technology, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :