Multi-time Scale Energy Management Strategy for Smart Community Considering Demand Response

Abstract

Smart community is an essential part of the smart grid. Power router (PR) is the core equipment of the smart community, which can improve the utilization of renewable energy sources (RESs) and reduce the peak electricity consumption of the community. However, dealing with user demand response (DR) and RES uncertainty is an important task to improve the power reliability of the smart community. Therefore, this paper proposes a new community control structure and a multi-time scale energy management strategy. In making the day-ahead energy management (DAEM) strategy, a Stackelberg game model is established with the PR as the leader and users are the followers, where the PR affects the electricity consumption behavior of users through the internal electricity price of the community. During the real-time operation, the real-time energy management strategy of PR is formulated under the guidance of the DAEM strategy which can reduce the impact on the grid caused by the uncertainty of RES generation and user loads. Finally, the simulation results show that the proposed strategy can effectively reduce the electricity bill of users and community costs and has strong robustness to deal with the uncertainty of RES generation and user loads.