This paper describes a system for monitoring the insulation condition of overhead power lines and substations based on sensors installed on towers and insulators. The sensors works on the capacitive coupling with an insulating structure and register the appearance and growing of electrical discharges near the insulators. The data from the sensors with a predetermined frequency (from 1 minute or more) are transmitted throw cellular communication to the operating service computer (smartphone) and presents as changing graphs on the screen. In this paper in operation and functional diagram of the system are proposed with described results of tests and experiments with manufactured product samples in laboratory and field conditions on an operating 110 kV line. The results of field experiments shows the advantages of the system to monitor the insulation in comparing with traditional diagnostic devices.
In recent years, infrared imaging has become an important tool, particularly for predicting and preventing electrical equipment failure. Systems for online monitoring of the equipment conditions used in electrical substations are based on computer vision algorithms to perform visual analysis, automatically detect and assess equipment condition. This article describes a developed method that automatically finds defects in high-voltage insulators using infrared images. This method is based on the Otsu method, which is one of the most popular and effective segmentation methods that can be applied to finding defects in infrared images. The result is a comparative analysis of computer vision methods in infrared images used in our research. Automatic condition monitoring to find defects in high-voltage insulators in infrared images can be considered as the base method for an automated thermal imaging system for monitoring electrical substation equipment.
The article discusses the possibility of using devices for monitoring the state of highvoltage insulators with LED indication, mounted on insulating structures of high-voltage lines and substations. The scheme of the device is given and its principle of operation is described. The feasibility of indicating the early stage of the an insulation defect development in a laboratory and full-scale experiments on real power system facilities using devices with LED indication are shown. A new method of insulation control using the developed device will allow, when visually inspecting an overhead line, to additionally provide information about the change in the electric field and the appearance of discharges in the insulation. In addition to the early warning of the birth of a defect, this information will be useful for routine maintenance (cleaning) of insulators.
This paper describes a software algorithm for detecting defective insulating structures using infrared images. The defect detection criteria are based on a joint analysis of the mean and standard value of the brightness distribution of a set of insulators. The effectiveness of the developed criteria is substantiated by the results of laboratory tests of a significant number of insulators removed from high-voltage lines according to the results of thermal imaging diagnostics. Simultaneous analysis of thermograms of the same type of insulating structures according to the proposed algorithm is more effective in comparison with the subjective assessment of each of them separately, which was used earlier. In addition, this approach allows to reduce the time of analysis and decision-making based on the results of diagnostics.
In this paper proposed three modifications to the monitoring system of the overhead lines, insulation state and substations based on sensors installed on supports and insulators. The sensors operate on the principle of capacitive coupling with an insulating structure. Differences between the system modifications in the information present options: light indication for control when bypassing lines and substations and changing graphics on the computer (smartphone) screen when receiving data in real time from sensors using cellular communication. The principle of operation and functional diagrams of the system with results of tests and experiments with manufactured product samples in laboratory and field conditions are presented.
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