An Online Measurement Method for Insulator Creepage Distance on Transmission Lines

Insulators play a crucial role in ensuring the normal operation of the power system, and the creepage distance is an important electrical parameter of insulators. Most available solutions focus mainly on offline measurement methods, and online measurement for insulator creepage distance on transmission lines remains a challenging task. To address this issue and to further improve the corresponding work efficiency, an online measurement method for insulator creepage distance is presented in this paper. Considering the glass material of the insulator and the long measuring distance, this method recognizes the insulator type indirectly by calculating the structural parameters of the insulators based on their geometric features, and then obtaining the creepage distance. Accordingly, a measurement system, which mainly includes an electronic total station and a camera with a telephoto lens, is designed in this paper. Moreover, this paper also proposes an error analysis model aimed at reducing the errors caused by the layout of this system. In the conducted experiments, this proposed method effectively obtains the creepage distance and the error correction model can further improve the measurement accuracy of structural parameters.

[1]  Jae-Kyung Lee,et al.  Development of Insulator Diagnosis Algorithm Using Least-Square Approximation , 2012, IEEE Transactions on Power Delivery.

[2]  Yi Fang,et al.  UAV Low Altitude Photogrammetry for Power Line Inspection , 2016, ISPRS Int. J. Geo Inf..

[3]  Zhengjun Liu,et al.  A Multiple Sensors Platform Method for Power Line Inspection Based on a Large Unmanned Helicopter , 2017, Sensors.

[4]  Yincheng Qi,et al.  Representation of binary feature pooling for detection of insulator strings in infrared images , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[5]  Jae-Kyung Lee,et al.  An Inspection Robot for Live-Line Suspension Insulator Strings in 345-kV Power Lines , 2012, IEEE Transactions on Power Delivery.

[6]  Wen Li,et al.  Study on Insulator Deterioration Mechanism of ±800kV Transmission Lines and Live Detection Method of Faulty Insulator , 2017 .

[7]  Kwang-Ho Seok,et al.  A State of the Art of Power Transmission Line Maintenance Robots , 2016 .

[8]  Zhenbing Zhao,et al.  Localization of multiple insulators by orientation angle detection and binary shape prior knowledge , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[9]  Dong Han Kim,et al.  Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid , 2016, Sensors.

[10]  Quan Gu,et al.  A Detection Method for Transmission Line Insulators Based on an Improved FCM Algorithm , 2015 .

[11]  Kiriakos Siderakis,et al.  Comparative investigation of silicone rubber composite and room temperature vulcanized coated glass insulators installed in coastal overhead transmission lines , 2015, IEEE Electrical Insulation Magazine.

[12]  Haiyan Cheng,et al.  Multi-Saliency Aggregation-Based Approach for Insulator Flashover Fault Detection Using Aerial Images , 2018 .

[13]  Ruifang Dong,et al.  A 3D Laboratory Test-Platform for Overhead Power Line Inspection , 2016 .

[14]  Zihui Yin,et al.  The discrimination method as applied to a deteriorated porcelain insulator used in transmission lines on the basis of a convolution neural network , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.

[15]  A. C. S. Wijayatilake Reviewing of Insulator Selection Criteria for Overhead Power Lines in Coastal Areas of Sri Lanka , 2014 .

[16]  Gang Liu,et al.  Flashover Performance Test with Lightning Impulse and Simulation Analysis of Different Insulators in a 110 kV Double-Circuit Transmission Tower , 2018 .