Smart Household Demand Response Scheduling with Renewable Energy Resources

This paper presents a framework of demand response scheduling for household under time based demand response strategies. For modeling and analysis of demand response, physical based household load models are used. These models include schedulable appliances i.e. air conditioner, water heater. This paper aims at minimization of electricity bills by maximizing the utilization of renewable energy resources. The proposed scheduling technique compares the energy scheduling results of home appliances based on day ahead time-of-use tariff, critical peak pricing tariff and real-time pricing tariff. This technique formulates the scheduling problem as a mixed integer linear programming and the problem is resolved by commercial CPLEX solver.