Optimal daily operation of a smart-household under dynamic pricing considering thermostatically and non-thermostatically controllable appliances

In this study, a home energy management system structure is developed in order to determine the optimal commitment of a smart-household. Two types of loads are explicitly modeled: non-thermostatically controllable (electric vehicle, shiftable appliances) and thermostatically controllable loads (air conditioner, electric water heater). Furthermore, small-scale self-production is considered by means of a photovoltaic system. A test case using realistic data is presented in order to investigate the combined effect of the aforementioned assets under real-time pricing demand response.