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作 者:杨霖 刘博文 王松[2] 田丰 范莹 陶诗洋[2] YANG Lin;LIU Bowen;WANG Song;TIAN Feng;FAN Ying;TAO Shiyang(State Grid Beijing Urban Power Supply Company,Beijing 100032,China;State Grid Beijing Electric Power Company,Beijing 100031,China)
机构地区:[1]国网北京城区供电公司,北京100032 [2]国网北京市电力公司,北京100031
出 处:《高压电器》2020年第6期100-106,共7页High Voltage Apparatus
摘 要:局部放电作为GIS设备绝缘劣化的早期信号,能够引起绝缘的进一步劣化,因此,研究局部放电严重程度评估对GIS设备检修具有重要的理论意义。结合局部放电信号的统计特征与其严重程度的单调相关性,提取了能够表征局部放电严重程度的9项统计特征参数,将局部放电严重程度划分为轻度放电、中度放电与重度放电3个阶段,研究并构建了基于K-means聚类分析的局部放电发展全过程的严重程度评估算法,以金属突出物缺陷局部放电试验为例,对获取的局部放电发展全过程信号进行严重程度评估,得出不同严重程度下各特征参数的标准数值区间。结果显示,局部放电严重程度的评估结果与各特征参数的变化趋势完全相符,验证了该算法的可行性与有效性。As an early signal of insulation degradation on GIS,partial discharge(PD)can lead to further insulation degradation,so studying PD severity assessment has important theoretical significance for the maintenance of GIS equipments.Combined with the monotonic correlation between the statistical characteristics of PD signal and its se⁃verity,this paper extracted nine statistical characteristic parameters that could characterize the severity of PD,divid⁃ed the severity of PD into three stages:light discharge,medium discharge and heavy discharge,and then established a severity assessment algorithm for PD in the total process based on K-means cluster analysis.The PD test of metal protrusion defects was as an example,the severities of the obtained PD signals in the total process were evaluated,and the standard numerical intervals of each characteristic parameter under different PD severity were obtained.The results showed that the PD severity assessment results were well consistent with the trends of each characteristic pa⁃rameter,and the feasibility and effectiveness of PD severity assessment algorithm proposed by this paper was verified.
关 键 词:局部放电 GIS设备 金属突出物缺陷 K-means聚类分析
分 类 号:TM855[电气工程—高电压与绝缘技术]
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