High-risk region of bird streamer flashover in 110 kV composite insulators and design for bird-preventing shield

Wen, Xishan; Wu, Qiang; Yu, Wenbin; Liu, Shitao; Hao, Jinpeng; Lan, Lei; Deng, Yansha; Gao, Lei

doi:10.1016/j.ijepes.2021.107010

Cited by 10 publications

(1 citation statement)

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“…With the large-scale construction of power grid and the improvement of ecological environment, the contradiction between bird activities and transmission lines gradually raises concerns. Bird-related faults have become the third cause of transmission line outages in addition to lightning strikes and external force damages [1]. According to the statistical data from 2010 to 2019, 2374 faults related to bird activities occurred in 110 (66) kV and above transmission lines of the State Grid Corporation of China (SGCC), accounting for 10.4% of the total transmission line faults.…”

Section: Introductionmentioning

confidence: 99%

Detection of bird species related to transmission line faults based on lightweight convolutional neural network

Qiu

Zhu

Liao

et al. 2021

IET Generation Trans & Dist

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Efficient bird damage prevention of transmission lines is a long‐term challenge for power grid operation and maintenance. An approach combined lightweight convolutional neural network (CNN), image processing and object detection is presented in this paper to detect typical bird species related to transmission line faults. An image dataset of 20 bird species that threaten transmission line security is constructed. The YOLOv4‐tiny algorithm model is constructed and trained combining stage‐wise training, mosaic data enhancement, cosine annealing, and label smoothing. The mean average precision (mAP) can reach 92.04% on the test set by adjusting the parameters of the training process. Then, the validity of the proposed method is verified according to the test results and performance indexes by comparing with other methods, including Faster RCNN, SSD, YOLOv4 etc. Some image pre‐processing methods such as motion blur, defocus blur, contrast and brightness adjustment are used to simulate the scenarios in practical engineering applications. The proposed method can detect bird species perched around transmission lines with high‐efficiency, which is useful for differential prevention of bird‐related outages of power grids.

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Section: Introductionmentioning

confidence: 99%