Preference-based multi-objective energy retail package for efficient and flexible demand response of energy community

Abstract

As critical infrastructure, energy communities are essential for promoting energy sustainability and community economic development. However, current demand response (DR) management practices in communities face issues that deter diverse consumer participation. To address these challenges, this paper proposes a new energy retail package (EngyRP) mechanism for DR management of the energy community. First, we propose a DR degree classification method based on energy usage behavior to address the problem of consumer privacy violation in other methods. Second, we introduce a preferred multi-objective EngyRP design method to meet the individual needs of different energy communities. Finally, considering the multidimensional characteristics of consumer demand, we transform the factors affecting satisfaction into quantifiable linear and nonlinear functions based on the Kano model. The experimental results show that compared with other methods, this method can attract more consumers to participate in DR, further improve the peak shaving and valley filling ratio of the system, and increase the operator’s revenue while improving consumer satisfaction.