Abstract

Under extreme weather events with a certain warning time, the prevention and restoration of distribution systems (DSs) involve multiple processes, including pre-event prevention, DS degradation, and post-event fault isolation and service restoration. Multiple resources are coupled and interact with each other in the above processes, which makes it a complicated task to develop resilience enhancement strategies for DSs. In this paper, a multi-resource DS resilience enhancement method is proposed to assist DS operators in making decisions against extreme weather events. On one hand, in the proposed method, the prevention and restoration of DSs are formulated as multiple stages based on the physical process of DSs when affected by extreme weather events. On the other hand, distributed generations (DGs), mobile emergency generators (MEGs), remote-controlled switches (RCSs), manual switches (MSs) and operation crew teams are fully coordinated to enhance the resilience of DSs against extreme weather events. And multiple coupling relationships are considered, including the topology coupling relationships among each stage, the spatiotemporal coupling relationships of mobile resources, and the switching coupling relationships between MSs and operation crew teams. The proposed method is mathematically formulated as a mixed-integer linear programming (MILP) model. Several cases are introduced to verify the effectiveness of the proposed method. The results demonstrate that the degradation of the DS can be effectively reduced by the coordination of network pre-reconfiguration and resources pre-positioning before events. The recovery process can be significantly speeded up by the coordination of the network reconfiguration and the real-time dispatching of MEGs and operation crew teams after events.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call