Finding optimal schedules in a home energy management system

Merdanoglu H., Yakici E., Dogan O. T., DURAN S., Karatas M.

ELECTRIC POWER SYSTEMS RESEARCH, cilt.182, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 182
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.epsr.2020.106229
  • Dergi Adı: ELECTRIC POWER SYSTEMS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Compendex, Environment Index, INSPEC
  • Anahtar Kelimeler: Scheduling, Home energy management system, Stochastic optimization, DEMAND RESPONSE, RESIDENTIAL APPLIANCES, PROGRAMMING APPROACH, OPTIMAL-DESIGN, OPTIMIZATION, BATTERY, STORAGE, BUILDINGS, MODEL
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In this study, we model and solve the scheduling problem embedded in a home energy management system (HEMS), which enables users to overcome the major obstacles in implementing demand response programs. The problem aims to find the minimum energy cost while taking into account the time-varying prices, generation from renewable sources, usage demands for each appliance in household, battery storage capacity and grid constraints. Due to the uncertainties in supply, demand and electricity price, a stochastic optimization approach is utilized. A solution to the problem determines schedules of the operating periods of household appliances, charging cycles of battery storage and plug-in electric vehicles (EVs) and electricity purchase and sale periods for the following days in the decision horizon. We analyze both effects of different price tariffs on HEMS and conduct simulations in order to compare two cases for a green house in terms of energy consumption, where first case is when the house is supported by HEMS and the second one is when the house has no decision support system. Experimental results support the benefit of the usage of the proposed model in a HEMS.