A Stochastic Home Energy Management System considering Satisfaction Cost and Response Fatigue

Home Energy Management (HEM) systems enable residential consumers to participate in Demand Response Programs (DRPs) more actively. However, HEM systems confront some practical difficulties due to the uncertain inherent of renewable energies as well as the uncertainty of consumers' behavior. Moreover, the consumers aim for the highest level of comfort and satisfaction in operating their electrical appliances; while technical limits of the appliances must be considered. Furthermore, DR providers aim at keeping the participation of consumers in DRPs and minimize the 'esponse fatigue' phenomenon in long-term. In this paper, a stochastic model of HEM system is proposed by considering uncertainties of EV availability and small-scale renewable energy generation. The model optimizes the customer's cost in different DRPs, while guarantees the habitants' satisfaction by introducing a response fatigue index. Different case studies indicate that implementation of the proposed stochastic HEM system can considerably decrease both the customers' cost and response fatigue.