Vegetation encroachment monitoring for transmission lines right-of-ways:A survey

Ahmad, Junaid and Malik, Aamir Saeed and Xia, Likun (2012) Vegetation encroachment monitoring for transmission lines right-of-ways:A survey. Electric Power Systems Research . (In Press)

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With increasing blackouts owing to vegetation encroachments for transmission lines right-of-ways, it has become imperative for electric utilities to review their vegetation management practices to avoid incidents of un-intended encroachments. In this paper, advantages and limitations of existing techniques for inspecting transmission lines is presented. Regarding the clearance of un-intended vegetation for transmission lines right-of-ways, the surveillance of transmission lines is performed periodically through visual inspection, or by airborne system. The geographical information system (GIS) containing the geo-referenced data of assets, lands, wherefrom the transmission lines pass are essential tools for the improvement of transmission lines maintenance. Air-borne LiDAR scanners, videography, and aerophotogranometry are now available for surveillance applications. These tools, because of their accuracy in spatial resolution, can be applied to track not only invasions, but also monitor the vegetation surrounding the transmission lines right-of-ways. The paper discusses concept of utilizing multispectral satellite stereo images to recover 3D-digital elevation model (DEM) of transmission lines right-of-ways to identify dangerous vegetation that can strike the power lines to cause blackouts. Further, a new wireless multimedia sensor networks (WMSNs) based method is proposed which is cost effective, less time consuming and more accurate for the automated power line inspection against vegetation encroachments.

Item Type:Article
Impact Factor:1.726
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Academic Subject Two:Geoscience
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Energy
Research Institutes > Institute for Health Analytics
ID Code:8440
Deposited By: Dr. L Xia
Deposited On:22 Nov 2012 02:56
Last Modified:20 Mar 2017 01:57

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