Abstract
Icicle will cause serious distortion of insulator electric field, weaken its voltage strength, and easily cause insulator flashover. Previous studies have shown that the longer the length of icicles on insulator, the greater the possibility of electric flashover. Then, it is of great theoretical significance and practical value to study the image identification technology of icicle length of iced insulators. Firstly, the growth mechanism and structural characteristics of insulator icicles are discussed in this paper, and the image acquisition method of iced insulator is discussed. Secondly, the methods of saliency detection and color feature analysis are used to extract the region of icicle and insulator sheds respectively, then, the icicle structure on insulator is obtained by the difference calculation of above two images. Meanwhile, the pixel curve of the iced insulator image is processed by Fourier transform, and the reference size of insulators icicle is obtained by calculating the length of the shed spacing. Finally, a practical case about iced insulators in substations is analyzed in detail, which proves the effectiveness of the method proposed in this paper.
Highlights
Icing is an important cause of power system operation failure
It is of great theoretical significance and practical value to study the identification technology of icing severity and icicle length, and to remind operators of the insulator bridged status and flashover risk level in time
It is difficult to obtain the insulator icicle length and bridging state directly by traditional edge analysis method, because the icing shell is transparent with very few bubbles, and the changes of icing insulator diameter are not significant
Summary
Icing is an important cause of power system operation failure. Serious icing accumulation will lead to structural faults and insulation problems such as tower collapse, wire breakage, fitting damage, insulation flashover, etc, causing large-scale and long-term power interruption, resulting in huge economic losses [1]–[4]. Y. Zhu et al.: Research on Image Recognition Method of Icicle Length and Bridging State on Power Insulators TABLE 1.
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