Abstract
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.
Highlights
Electrical power systems are expanding daily all over world, so situations of unscheduled power supply interruptions can cause problems ranging from simple inconveniences up to significant losses [1]
The traditional inspection on electric transmission lines mainly depends on manpower inspection, which implies high labor intensity and low inspection efficiency [5]
The method proposed in this paper uses the salient geometric features of the insulator to obtain the structural parameters
Summary
Electrical power systems are expanding daily all over world, so situations of unscheduled power supply interruptions can cause problems ranging from simple inconveniences up to significant losses [1]. Images of transmission lines can be acquired by using cameras or video cassette recorders (VCRs) carried on an UAV After obtaining these aerial photographs, many methods have been proposed to detect and locate the insulators in the images with the difficulty of complex background and low image resolution [14,15,16,17,18,19,20]. In [20], a multi-saliency aggregation-based porcelain insulator flashover fault detection approach is proposed to identify the damaged area based on the color features of the damaged areas on the insulator surface in a color model These methods are limited to the insulator image information, and ignore the typical structural parameters of insulators.
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