DENG Honglei, TANG Chongwang, LIU Gang, et al. Calculation of Action Times of Lightning Arrester with Gap Based on GA-BP Neural Network Technology[J]. High voltageapparatus, 2021, 57(6): 189-195+202.
DOI:
DENG Honglei, TANG Chongwang, LIU Gang, et al. Calculation of Action Times of Lightning Arrester with Gap Based on GA-BP Neural Network Technology[J]. High voltageapparatus, 2021, 57(6): 189-195+202. DOI: 10.13296/j.1001-1609.hva.2021.06.024.
Calculation of Action Times of Lightning Arrester with Gap Based on GA-BP Neural Network Technology
It is not only time-consuming and laborious to read the action times of arrester by artificial and unmanned aerial photographs
but also difficult to implement. In order to realize the online calculation of action times of arrester with clearance economically
quickly and efficiently. This paper presents a calculation method of action times of lightning arrester with clearance based on lightning location system
transmission line data
lightning protection mechanism and GA-BP neural network technology. Firstly
the maximum lightning current in the lightninginduced area and in the lightning-induced area is calculated. Then
the structure of GA-BP neural network is determined
and the trained network is used to judge whether the arrester acts after lightning strike. Examples show that the accuracy rate of action recognition of lightning-induced arresters by this method reaches 90%
the accuracy rate of non-action samples after lightning stroke is 86.25%
and the overall accuracy rate of action of lightning-induced arresters by shielding stroke is 80%. The calculated accumulative action times of lightning arresters are basically consistent with the actual action times
so this method can be compared. Accurate on-line calculation of the number of arrester actions is realized.