一种基于改进K均值聚类的输电线冰状态侦测方法

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Abstract Icing on transmission lines is a hidden danger that affects the normal operation of the power grid in winter. Therefore, it is essential to detect the icing status of the transmission line to find the icing phenomenon in time and then take countermeasures. This research proposes a method for detecting the icing status of transmission lines via improved K-means clustering. Firstly, images of transmission line are obtained and preprocessed. After that, line segment detector algorithm, improved K-means clustering, and least square fitting are used in turn to determine the position of the conductor. Finally, the width of the conductor is calculated to evaluate the icing status of transmission line based on the change in width before and after icing. Comprehensive analysis of the experimental results of the field and experimental environment, the proposed method can quickly and reliably identify the icing status of the conductor with high accuracy.

Key words： transmission line icing detection line segment detector (LSD) improved K-means clustering

Received: 09 October 2020

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	Articles by authors
	WENG Bingjun
	YANG Gengjie
	GAO Wei
	ZHENG Weicou

Cite this article:

WENG Bingjun,YANG Gengjie,GAO Wei等. A detection method for transmission line icing via improved K-means clustering[J]. Electrical Engineering, 2021, 22(5): 43-49.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I5/43

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