Preventive Measures to Reduce Bird Related Power Outages—Part II: Streamers and Contamination

Sundararajan, Raji; Burnham, J.T.; Carlton, R.; Cherney, E.A.; Couret, G.; Eldridge, K.T.; Farzaneh, M.; Frazier, S.D.; Gorur, R.S.; Harness, Richard E.; Shaffner, D.; Siegel, Stanley G.; Varner, J.

doi:10.1109/tpwrd.2003.822522

Cited by 42 publications

(19 citation statements)

References 6 publications

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“…The modifications are pole-line reconfiguration, the use of cover-up materials, etc. This research was followed by Sundararajan et al (2004) in which some procedures are recommended to reduce bird-related outages on transmission lines, in substations and on overhead distribution lines. Insulation of electrical objects is proposed by Burnham et al (2004) and Sundararajan et al (2004) as a solution to electrical outages problem.…”

Section: Electrical Outagesmentioning

confidence: 99%

“…This research was followed by Sundararajan et al (2004) in which some procedures are recommended to reduce bird-related outages on transmission lines, in substations and on overhead distribution lines. Insulation of electrical objects is proposed by Burnham et al (2004) and Sundararajan et al (2004) as a solution to electrical outages problem. In this paper, insulation of the conductive parts of electrical substations is also proposed based on a new approach of utilizing a 3D as-built plan of the electrical substation obtained from LiDAR data.…”

Section: Electrical Outagesmentioning

confidence: 99%

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Automatic extraction of insulators from 3D LiDAR data of an electrical substation

Arastounia

Lichti

2013

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:A considerable percentage of power outages are caused by animals that come into contact with conductive elements of electrical substations. These can be prevented by insulating conductive electrical objects, for which a 3D as-built plan of the substation is crucial. This research aims to create such a 3D as-built plan using terrestrial LiDAR data while in this paper the aim is to extract insulators, which are key objects in electrical substations. This paper proposes a segmentation method based on a new approach of finding the principle direction of points' distribution. This is done by forming and analysing the distribution matrix whose elements are the range of points in 9 different directions in 3D space. Comparison of the computational performance of our method with PCA (principal component analysis) shows that our approach is 25% faster since it utilizes zero-order moments while PCA computes the first-and second-order moments, which is more time-consuming. A knowledge-based approach has been developed to automatically recognize points on insulators. The method utilizes known insulator properties such as diameter and the number and the spacing of their rings. The results achieved indicate that 24 out of 27 insulators could be recognized while the 3 un-recognized ones were highly occluded. Check point analysis was performed by manually cropping all points on insulators. The results of check point analysis show that the accuracy, precision and recall of insulator recognition are 98%, 86% and 81%, respectively. It is concluded that automatic object extraction from electrical substations using only LiDAR data is not only possible but also promising. Moreover, our developed approach to determine the directional distribution of points is computationally more efficient for segmentation of objects in electrical substations compared to PCA. Finally our knowledge-based method is promising to recognize points on electrical objects as it was successfully applied for insulators.

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Section: Electrical Outagesmentioning

confidence: 99%

Section: Electrical Outagesmentioning

confidence: 99%

Automatic extraction of insulators from 3D LiDAR data of an electrical substation

Arastounia

Lichti

2013

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Recentwork elatig to ird reated utagewas nLsulator confilgurationl onl anL HVDC andc HLVAC tower, performed by Sulndaraj an et al [2,10]. The purpose of the tain int cosdrto th poart efets h work was to review currenLt practices anld procedures thatbradw chateiiswrehnuedodvlpa into account the effect of insulator strings.…”

Section: Streamer Beinlg Inltroduced Inlto a V-strinlg Anld I-strinlgmentioning

confidence: 99%

A Study of Bird Streamer Initiated Breakdown Characteristics Under HVDC Conditions

Ijumba

Naidoo

Britten

2007

2007 IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica

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“…Burnham et al [4] propose the use of cover-up materials and also suggest some modifications to the existing standard design of electrical substations such as pole-line reconfiguration. Sundararajan et al [5] propose using perch guards, metal or plastic spikes and insulating caps to reduce bird-related outages. They also suggest constructing alternative perch sites close to substations to prevent birds from perching on transmission lines, in substations and on over-head distribution lines.…”

Section: Introductionmentioning

confidence: 99%

“…Harness [6] investigates which species come into contact with electrical equipment in different regions, and proposes covers, guards and reconfigurations specific to species causing power outages in a given region. The studies in [4][5][6] do not address the issue with a comprehensive solution and they only focus on the prevention of bird-related power outages by proposing manual approaches. By applying modifications and insulations proposed in [4][5][6], other sorts of wildlife, such as reptiles and mammals, can still cause power cuts.…”

Section: Introductionmentioning

confidence: 99%

Automatic Object Extraction from Electrical Substation Point Clouds

Arastounia

Lichti

2015

Remote Sensing

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Abstract:The reliability of power delivery can be profoundly improved by preventing wildlife-related power outages. This can be achieved by insulating electrical substation components with non-conductive covers. The manufacture of custom-built covers requires as-built models of the salient components. This study presents new, automated methodology to recognize key components of electrical substations from 3D LiDAR data acquired using terrestrial laser scanning. The proposed methodology includes six novel algorithms to recognize key components (fence, cables, circuit breakers, bushings and bus pipes) of electrical substations. Three datasets with different resolutions and configurations are used in this study. A Leica HDS 6100 laser scanner was used to acquire the first dataset and a Faro Focus 3D laser scanner was employed to collect the second and third datasets. The obtained results indicate that 178 and 171 out of 181 electrical substation elements were successfully recognized in the first and second dataset, respectively, and 183 out of 191 components were identified in the third dataset. The results also demonstrate that an average 97.8% accuracy and average 98.8% precision at the point cloud level can be achieved.

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Preventive Measures to Reduce Bird Related Power Outages—Part II: Streamers and Contamination

Cited by 42 publications

References 6 publications

Automatic extraction of insulators from 3D LiDAR data of an electrical substation

Automatic extraction of insulators from 3D LiDAR data of an electrical substation

A Study of Bird Streamer Initiated Breakdown Characteristics Under HVDC Conditions

Automatic Object Extraction from Electrical Substation Point Clouds

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