Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities

Wanik, David W.; Parent, Jason; Anagnostou, Emmanouil N.; Hartman, Brian

doi:10.1016/j.epsr.2017.01.039

Cited by 69 publications

(48 citation statements)

References 18 publications

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“…Power lines exposed long-termly in these harsh conditions (e.g., large temperature difference, high humidity, and vegetation encroachment [4,5]) might aggravate mechanical tension and electrical flashover, even leading to large area blackout, causing heavy national economic losses [6,7]. Therefore, this is urgent demand for monitoring power lines conveniently, rapidly and accurately to guarantee safe operation of transmission network [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

Qin

et al. 2017

Remote Sensing

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Overhead high-voltage power lines are key components of power transmission and their monitoring has a very significant influence on security and reliability of power system. Advanced laser scanning techniques have been widely used to capture three-dimensional (3D) point clouds of power system scenes. Nevertheless, power line corridors are found in increasingly complex environments (e.g., mountains and forests), and the multi-loop structure on the same power line tower raises great challenges to process light detection and ranging (LiDAR) data. This paper addresses these challenges by constructing a new collection mode of LiDAR data for power lines using cable inspection robot (CIR). A novel method is proposed to extract and reconstruct power line using CIR LiDAR data, which has two advantages: (1) rapidly extracts power line point by position and orientation system (POS) extraction model; and (2) better solves pseudo-line during reconstruction of power line by structured partition. The proposed method mainly includes four steps: CIR LiDAR data generation, POS-based crude extraction, voxel-based accurate extraction and power line reconstruction. The feasibility and validity of the proposed method are verified by test site experiment and actual line experiment, demonstrating a fast and reliable solution to accurately reconstruct power line.

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Section: Introductionmentioning

confidence: 99%

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

Qin

et al. 2017

Remote Sensing

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“…The management of trees and other flora around overhead lines is known as vegetation management (Wanik et al, 2017), which is also a major strategy for resilience planning. Trees near distribution lines are usually managed by trimming, and other management activities include the application of tree-growth regulators, the application of herbicides, and tree-removal and replacement programs (Kuntz et al, 2002).…”

Section: Resilience Planningmentioning

confidence: 99%

System resilience enhancement: Smart grid and beyond

Huang¹,

Wang²,

Chen³

et al. 2017

Front. Eng

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Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems. In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures.

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“…For this reason, it has a unique superiority in acquiring 3D information of transmission corridors in complex terrains, or even hazard zones [4][5][6]. Airborne LIDAR has received widespread attention and application in the field of HV transmission line inspection, such as monitoring and safety warning [7,8], management and planning [9,10], and 3D power line extraction and reconstruction [11,12].…”

Section: Introductionmentioning

confidence: 99%

An automatic extraction algorithm of high voltage transmission lines from airborne LIDAR point cloud data

Shen¹,

Qian²,

Du³

et al. 2018

Turk J Elec Eng & Comp Sci

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Abstract:To improve the effectiveness and generality of existing methods of high voltage (HV) transmission lines extraction, this paper proposes a novel automatic extraction method of HV transmission lines using airborne LIDAR point cloud data by incorporating the geography of transmission corridors and the distribution characteristics of airborne LIDAR point cloud data. The proposed method results in the separation of ground objects by using a differentiation height threshold segmentation algorithm based on subspace features, which divide long-distance space into several smalldistance space sets to improve the generality of the algorithm. A height density segmentation algorithm is used to locate transmission towers and extract point cloud data of HV transmission lines to improve the efficiency of the algorithm.Feasibility test cases show that the proposed method can automatically extract HV transmission lines from airborne LIDAR point cloud data in flat terrains, canyon terrains, and steep slope terrains in an efficient manner, with high accuracy and generality.

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Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities

Cited by 69 publications

References 18 publications

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

System resilience enhancement: Smart grid and beyond

An automatic extraction algorithm of high voltage transmission lines from airborne LIDAR point cloud data

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