ABSTRACT After extreme natural disasters occur, the integration of multiple restoration methods, such as islanding segmentation, network reconfiguration, and repair crew scheduling, can significantly improve the reliability of power supply and increase the efficiency of service restoration in a power system. To achieve the rapid post‐disaster restoration in networked microgrids (NMGs), this paper proposes a rapid post‐disaster restoration method based on the co‐optimization of fault repair and load restoration. First, a multifault repair optimization model of NMGs is presented, which takes into account the optimization of repair time, economic loss, labor cost and repair efficiency. Second, to solve the repair scheduling, an adaptive quantum particle swarm optimization algorithm with a nonlinear adaptive contraction and expansion coefficient is designed, which improves the solution efficiency. Subsequently, a two‐layer co‐optimization model for fault repair and load restoration is proposed. This model guides the repair sequence based on the results of islanding segmentation and network reconfiguration, dynamically updating the network topology according to the repair process. Finally, the feasibility and superiority of the proposed method are verified using post‐disaster restoration scenarios of the modified Institute of Electrical and Electronics Engineers 33‐bus and PG&E 69‐bus NMGs. Compared with existing methods, the resilience index of load retention capacity and the post‐disaster power restoration speed have improved by 6.58% and 15.82%, respectively.
Zhang et al. (Sat,) studied this question.