Real-time UAV routing strategy for monitoring and inspection for post-disaster restoration of distribution networks

Journal article (2022)

Authors

J. Fu Team Bart De Schutter - Mechanical, Maritime and Materials Engineering
Alfredo Nunez Railway Engineering - CEG
B.H.K. De Schutter Team Bart De Schutter - Mechanical, Maritime and Materials Engineering
Research Group
Team Bart De Schutter (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 J. Fu, Alfredo Nunez, B.H.K. De Schutter
DOI
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https://doi.org/10.1109/TII.2021.3098506
Routing Monitoring Inspection Real-time systems Distribution networks Roads Maintenance engineering Distribution network post-disaster restoration Monitoring and inspection coordination Real-time routing for unpredictable events Unmanned aerial vehicles routing strategy
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Bart De Schutter

Abstract

Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper, a novel real-time UAV routing strategy for coordination between monitoring and inspection for post-disaster restoration in distribution networks is proposed. With our proposed real-time UAV routing strategy, damages can be inspected by UAVs for post-disaster restoration. Besides, transmission lines can be monitored to find potential dangers, and road infrastructure can also be monitored to provide real-time information about traffic conditions so that repair crews can select the best ways to reach damages. In addition, due to unpredictable events during restoration, the UAV routing strategy and schedule need to be updated in real time. Then, to tackle the multi-time-scale characteristic of the proposed UAV routing strategy, a two-layer computation architecture is proposed. A case study based on the distribution network in Zaltbommel, the Netherlands, illustrates the effectiveness of the proposed method compared to other approaches.