Resilience-Oriented Asynchronous Decentralized Restoration Considering Building and E-Bus Coresponse in Electricity-Transportation Networks

The electricity network (EN) and transportation network (TN) are becoming increasingly coupled and to ensure timely energy supply restoration of the coupling network after disasters; this study proposes an asynchronous decentralized load restoration method of the resilient electricity-transportation network (ETN) considering building and electric bus (E-Bus) coresponse. Initially, a coordinated restoration model of ETNs integrating building envelope thermal dynamic and E-Bus path planning models is proposed. Then, we leverage the natural cooling flexibility of the air conditioning (AC) and the spatial-temporal flexibility of the E-Bus to maximize the power supply time of loads and minimize the driving distance of E-Buses. Finally, to protect the information privacy between different subjects of the EN and TN, and reduce the computational burden, the double-judgment asynchronous decentralized alternating direction method of multipliers (DJAD-ADMMs) algorithm is proposed to solve the problem in a parallel manner. The results show that our method effectively enhances the restoration effect of critical loads by coordinating the potential flexibility of buildings and E-Buses while satisfying the temperature comfort demand of users and the terminal destination of E-Buses with enhanced solution efficiency.