Multi-stage energy management framework for residential communities using aggregated flexible energy resources in planned power outages

• Two virtual flexible energy resource models are formulated for individual households and individual EVs. • Two algorithms are proposed for determining the operations of individual households and individual EVs. • A multi-stage energy management framework is proposed for residential communities in planned power outages. • Household controllable appliances and EVs are coordinated to enhance communities’ energy resilience. Modern residential communities in urban systems can benefit from energy storage devices and smart control technologies to implement self-energy supply and energy efficient load management. In this paper, a multi-stage energy management framework is proposed for smart residential communities to enhance the energy resilience in planned power outage events. The framework aggregates load shifting flexibility of the households and energy storage capability of the plug-in Electric Vehicles (EVs) in a community into virtual flexible energy resources (VFERs). It then optimizes the operation of the VFERs subjected to the ex-ante announced start and end time of the planned outage. The optimized operation plans of the VFERs are then mapped to individual controllable appliances in each household and individual EVs to determine their operation schedules via energy allocation and home energy management schemes. Numerical simulation shows compared with the methods in the literature, the proposed framework is computational efficient and highly scalable, and it can effectively minimize the disturbance of planned power outages to communities.