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Review on flashover risk prediction method of iced insulator based on icing monitoring technology
Cold Regions Science and Technology ( IF 4.1 ) Pub Date : 2021-02-15 , DOI: 10.1016/j.coldregions.2021.103252
Yongcan Zhu , Ruiwen Zhou , Ye Zhang , Xinsheng Dong , Xinbo Huang

Insulator flashover caused by atmospheric icing is a serious accident with high frequency, which seriously influences the security of the power system in icing areas. Therefore, it is of great theoretical significance and engineering value to carry out research on risk prediction technology of icing flashover. Firstly, in this paper, the main influencing factors of icing flashover of insulators are analyzed, and the morphological characteristics of iced insulators are deeply studied, such as icing type, icing amount, icicle length and bridging state, insulator pollution, etc. Secondly, the monitoring methods of iced insulator are analyzed and compared, and the results show that the image monitoring technology has obvious advantages in icing flashover prediction. More importantly, the current research progress and technical difficulties of image recognition technology for icing flashover parameters are discussed. Finally, the research prospect of flashover risk prediction model for iced insulator is introduced based on deduction method and machine learning algorithm.



中文翻译:

基于结冰监测技术的冰绝缘子闪络风险预测方法综述

大气覆冰引起的绝缘子闪络是严重的高频事故,严重影响覆冰区域电力系统的安全性。因此,开展覆冰闪络风险预测技术的研究具有重要的理论意义和工程价值。首先,本文分析了绝缘子覆冰闪络的主要影响因素,并深入研究了冰绝缘子的覆冰类型,覆冰量,冰柱长度和桥接状态,绝缘子污染等形态特征。对冰绝缘子的监测方法进行了分析和比较,结果表明,图像监测技术在结冰闪络预测中具有明显的优势。更重要的是,讨论了图像识别技术用于结冰闪络参数的研究现状和技术难点。最后,介绍了基于演绎法和机器学习算法的冰绝缘子闪络风险预测模型的研究前景。

更新日期:2021-02-28
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