Distributed Coordinated Restoration of Transmission and Distribution Systems With Repair Crews and Mobile Emergency Generators
Hao Wu, Yunyun Xie, Geert Deconinck, Yu Chen, Kai Hou, Jinsheng Sun, Hongjie Jia
Abstract
Coordinated restoration of transmission systems (TSs) and distribution systems (DSs) is necessary to reduce load loss after blackouts. Traditional coordination strategies are studied based on the hypothesis of no faults, neglecting fault repairs. To address this issue, a novel coordination method is proposed to integrate the repair and restoration of a coupled TS and DS with repair crews (RCs) and mobile emergency generators (MEGs) during post-disaster repair. Combining fault repairs and generator restarts by RCs and MEGs, a four-stage parallel restoration model is developed to coordinate dynamic partitioning, generation start-up, transmission path energization and load restoration, which facilitates rapid restoration of coupled TS and DS. Due to limited information exchange and data confidentiality between TS and DS, the decentralized coordination model is decomposed into a TS subproblem and DS subproblem based on the alternating direction method of multipliers (ADMM). To address non-convexity issue due to binary variables, the convergence and optimality of the decentralized model are ensured by the alternating optimization procedure (AOP) method. Finally, the proposed method is validated on small-scale T14-D13 and large-scale T39-D33 systems. The simulation results show that the proposed approach can effectively increase load recovery in the coupled TS and DS during post-disaster repair.