مدل ریاضی چند دوره‌ای جهت بهینه سازی مصرف انرژی خانگی با ارائه زمان‌بندی تجهیزات خانه هوشمند و محاسبه هزینه سلول خورشیدی جهت نصب در خانه هوشمند

نوع مقاله : مقاله صنایع

نویسندگان

1 کارشناسی ارشد، دانشکده فناوری های صنعتی، دانشگاه صنعتی ارومیه

2 استادیار، دانشکده فناوری های صنعتی ، دانشگاه صنعتی ارومیه

چکیده

خانه هوشمند مجهز به مجموعه‌ای از لوازم خانگی قابل برنامه‌ریزی برای استفاده در ساعاتی از شبانه‌روز است که قیمت انرژی پایین‌تر دارد. در اکثر تحقیقات انجام شده در زمینه مدیریت انرژی خانه هوشمند، سعی در ارائه یک مدل ریاضی جهت برنامه‌ریزی و زمان‌بندی لوازم خانگی قابل برنامه‌ریز برای روز آینده است زیرا در اغلب کشورهای جهان، شرکت‌های توزیع انرژی، قیمت‌های انرژی را بصورت روزانه برای روز آینده اعلام می‌کنند در حالیکه در برخی از کشورها نظیر ایران قیمت انرژی در طول یک هفته، یک ماه یا حتی یک سال ثابت است. در بسیاری از تحقیقات پیشین در صورتیکه خانه هوشمند متصل به انرژی تجدیدپذیر در نظر گرفته شده باشد بیشتر تمرکز بر روی فروش انرژی به شبکه است و تامین انرژی مورد نیاز خانه توسط انرژی تجدیدپذیر در الویت بعدی است. در این تحقیق دو مدل ریاضی عدد صحیح چند دوره‌ای ارائه شده است که می‌توان برای برنامه‌ریزی روزانه، هفتگی، ماهانه و حتی سالانه خانه هوشمند در نظر گرفت. مدل ریاضی اول بدون اتصال به انرژی تجدیدپذیر از نوع سلول خورشیدی توسعه داده شده است و مدل ریاضی دوم متصل به سلول خورشیدی است که برای رفع نیاز انرژی مورد نیاز خانه هوشمند تا حد امکان تعبیه شده است.
مدل‌های ریاضی پیشنهادی با استفاده از سالور CPLEX در نرم افزار GAMS حل شده است و در نهایت با مقایسه قیمت بدست آمده توسط دو مدل پیشنهادی، قیمت سلول خورشیدی با توان تولیدی مورد نظر محاسبه شده است. نتایج بدست آمده حاکی از کاهش قابل توجه هزینه‌های مصرف انرژی است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

A Multi-Period Mathematical Model to Optimize Smart Home Energy Management with Scheduling of Appliances and Solar Cell Cost Calculation

نویسندگان [English]

  • Morteza Jafari Nikpey 1
  • Farid Momayezi 2
1 M.S., Faculty of Industrial Engineering, Urmia University of Technology
2 Assistant Professor, Faculty of Industrial Engineering, Urmia University of Technology
چکیده [English]

The smart home is equipped with programmable home appliances designed to be used during off-peak hours when energy prices are lower. Research in smart home energy management has focused on developing mathematical models for planning and scheduling programmable appliances for the next day. While many countries announce daily energy prices for the following day, some countries, like Iran, have fixed energy prices for longer durations. Previous research has primarily focused on selling energy back to the grid when considering smart homes connected to renewable energy sources. Meeting the home's energy needs with renewable energy is a secondary priority. This study presents two mathematical models for multi-period planning daily, weekly, monthly, and yearly of a smart home. The first model does not consider the integration of solar cells, while the second model is connected to solar cells to maximize the use of renewable energy. The proposed mathematical models are solved using the CPLEX solver embedded in the GAMS software.
By comparing the prices obtained from the two models, the cost of solar cells with the desired production capacity is calculated. The results demonstrate a significant reduction in energy consumption costs. These models provide optimized schedules for operating appliances in a smart home, taking into account fluctuating energy prices. The integration of solar cells enables homeowners to leverage renewable energy sources and reduce reliance on the grid.

کلیدواژه‌ها [English]

  • Home Energy Management System
  • Smart Home
  • Photovoltaic
  • Solar Cell
  • Scheduling
  • Household Appliances
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