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

作者：Shafie Khah Miadreza; Siano Pierluigi^*

来源：IEEE Transactions on Industrial Informatics, 2018, 14(2): 629-638.

DOI：10.1109/TII.2017.2728803

• Demand response programs (DRPs)
• electric vehicle (EV)
• home energy management (HEM)
• inhabitants satisfaction
• response fatigue
• renewable energy generation
• stochastic programming

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 uncertainty related to 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. In addition, technical limits of the appliances must be considered. Furthermore, DR providers aim at keeping the participation of consumers in DRPs and minimize the "response fatigue" phenomenon in the long-term period. In this paper, a stochastic model of an HEM system is proposed by considering uncertainties of electric vehicles availability and small-scale renewable energy generation. The model optimizes the customer's cost in different DRPs, while guarantees the inhabitants' satisfaction by introducing a response fatigue index. Different case studies indicate that the implementation of the proposed stochastic HEM system can considerably decrease both the customers' cost and response fatigue.

• 出版日期2018-2