基于±500kV同塔双回垂直排列直流线路的信号研究

Design of partial discharge measurements exclude random pulse signal

针对特高频局部放电测量中的随机脉冲信号设计了模糊聚类统计排除的方法,采用的是对来自现场特高频在线监测数据完成的设计分析,利用信号归类得出随机干扰极有可能就是变压器箱体外部高压导体上的尖刺放电干扰串入进检测系统的干扰信号。实际工程应用表现来看,设计的模糊聚类能够很好地应用于实地检测,在对电力电缆接头局部放电在线检测的过程中,不仅可以对接头内部局部放电信号实现有效的测量,同时还可以对接头外部的随机干扰进行抑制或剔除。

For random pulse signal of UHF partial discharge measurements this paper designed fuzzy clustering method of statistical exclusion,using the design analysis of UHF on-line monitoring data from the field is completed,the use of random noise signal classification derived pole there may be an external high voltage spikes conductor on the transformer tank discharges into the jamming signal interference string into the detection system. Judging the practical engineering applications： fuzzy clustering can be well applied in the design of field testing,the partial discharge of the power cable connector line detection process,not only can achieve effective internal partial discharge measurements on the joint signal,but also can outside the joint random interference suppression or removed.