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In this paper, a detailed Home Energy Management System structure is developed in order to determine the optimal day-ahead appliance scheduling of a smart-household under hourly pricing and peak power limiting (hard and soft power limitation) based demand response (DR) strategies. All types of controllable assets have been explicitly modeled, including thermostatically controllable (air conditioners and water heaters) and non-thermostatically controllable (washing machines and dishwashers) appliances, together with electric vehicles (EV). Furthermore, an energy storage system (ESS) and distributed generation at the end-user premises are taken into account. Bi-directional energy flow is also considered through advanced options for EV and ESS operation. Finally, a realistic test-case is presented with a sufficiently reduced time granularity, being thoroughly discussed in order to investigate the effectiveness of the model. Stringent simulation results are provided using data gathered from real appliances and real measurements.Index Terms-demand response, distributed generation, electric vehicles, energy storage system, home energy management, smart household.

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