Abstract
The large-scale blackouts of distribution systems (DS) caused by extreme natural disasters have aroused a lot of attention. To enhance the resilience of DSs, a novel service restoration and recovery model to minimize the system-wide load loss is proposed here, where reconfiguration systems and two kinds of moveable resources, that is, mobile sources (MS) and repair crews (RC), are considered. Then, time-space network (TSN) is applied to model the movement of MSs and RCs over the real-world transportation networks (TN). However, the introduction of TSN makes solving the model become a time-consuming task as plenty of variables are involved by it. To tackle this challenge which may lead to the impracticability of the model, a Floyd-algorithm based TN simplification method is proposed to reduce the variables without sacrificing the equivalence of the TNs before and after the transformation. Finally, the applicability and effectiveness of the proposed model are verified on a 33-bus test DS and a real-world DS with complicated TNs.
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