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Academic Journal
Model of an analytical system for damage searching on power lines due to lightning discharges
Burtsev A. V.
Vestnik MGTU, Vol 22, Iss 4, Pp 477-483 (2019)
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| Title | Model of an analytical system for damage searching on power lines due to lightning discharges |
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| Authors | Burtsev A. V. |
| Publication Year |
2019
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| Source |
Vestnik MGTU, Vol 22, Iss 4, Pp 477-483 (2019)
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| Description |
The problem of searching for damage on overhead lines due to a lightning discharge is relevant for consumers of electricity and its suppliers. A direct lightning strike into power line elements leads to the destruction of insulators, breakage of wires and cables, and a consumer disconnection. The main task of the maintenance staff is to search for damage that occurs after a lightning discharge. Usually, special devices are used, they are installed in substations and based on the wave method, the visual method is also used. The paper proposes a model for detecting likely damage to power transmission line elements by creating a detailed database on the region's power transmission line and combining this database with a real-time archive of lightning discharges. The model in accordance with the proposed algorithm will make it possible to compile a list of supports likely to be affected by a lightning discharge, to identify the affiliation of these supports to specific power lines, and to notify the maintenance personnel of these power lines about the coordinates and supports of the power lines, where damage is possible. The model has a low cost and operating cost, can be easily deployed in any power system, but requires sufficient accuracy to detect lightning discharges and determine their coordinates. The solution to the problem of detection accuracy comes down to installing in the region a certain number of lightning direction finders of a particular system. The paper considers these issues on the example of the power system of the Murmansk region and lightning direction finders of the Blitzortung system.
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| Document Type |
article
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| Language |
Russian
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| Publisher Information |
Murmansk State Technical University, 2019.
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| Subject Terms | |
