Paper Info
Title
A Novel Power Distribution Network Assessment Approach Using Drones Considering Wireless Charging
Abstract
Power networks are an important infrastructure that requires close monitoring and recurring assessment during and following a catastrophic event. The drone’s unique aerial and unmanned nature has made it an efficient and powerful tool for damage assessment of the power networks. In this article, we propose a drone-routing framework to enable the systematic and automatic assessment of power networks considering wireless charging of the drone during the scanning. This article incorporates the resilience-oriented line priority index to periodically prioritize the power lines based on their specifications and conditions, and by doing so, this improves the efficiency of the assessment. A multiobjective mixed-integer linear programming model is developed to dynamically determine the drone’s optimal routing and speed in order to assure that the drone gathers sufficient data while completing the assessment mission in the shortest period of time. Since the proposed optimization algorithm needs to be solved multiple times for different sections of the power network, we propose a set of solution algorithms to reduce the computational burden and allow the proposed algorithm to reach the optimal solution quickly. Simulation results on a power network consisting of 77 nodes and 73 lines illustrate the effectiveness of the proposed approach in performing network-wide dynamic assessment using a drone.
Year
DOI
Venue
2022
10.1109/JSYST.2021.3110261
IEEE Systems Journal
Keywords
DocType
Volume
Autonomous damage assessment,drone surveillance,resilience improvement,unmanned aerial vehicle
Journal
16
Issue
ISSN
Citations 
3
1932-8184
0
PageRank 
References 
Authors
0.34
16
4
Name
Order
Citations
PageRank
Navid Ahmadian100.34
Gino J. Lim211516.51
Jian Shi300.68
Maryam Torabbeigi400.34