Title: Thermal and Electrical Load Management in Smart Home Based on Demand Response and Renewable Energy Resources

Issue Number: Vol. 8, No. 3
Year of Publication: Sep - 2018
Page Numbers: 189-194
Authors: Fady Y. MELHEM, Olivier GRUNDER, Zakaria HAMMOUDAN, Nazih MOUBAYED
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002448


In Smart grids, the implementation of demand response in residential area has a significant importance and help the integration of renewable energy resources and electric vehicles. The current paper presents a novel mathematical optimization model for a future smart home including grid, photovoltaic panels and wind turbine, electrical storage system with penetration of electric vehicles. Moreover, mathematical models of different type of thermal and electrical appliances such as air conditioning, refrigerator, water heater, vacuum cleaner, dishwasher and others are proposed. The proposed optimal scheduling energy management is considered using mixed-integer linear programming to find out operation modes of different loads, to schedule the charging and discharging of electric vehicles and the electrical storage system and to organize between the diverse considered productions systems. The formulated model has been solved with four different scenarios to prove the efficacy with various grouping. The objective function intends to minimize the day-ahead energy cost of the customer with taking into consideration of some desired appliances temperature and with decreasing the electricity imported from the grid in order to reduce the CO2 emission. Results illustrate the optimistic impact of implementing the proposed energy management model on electricity cost reduction and on finding the optimization results.