局部放电脉冲信号特征向量的提取方法  

Extraction Method of Characteristic Vectors of Partial Discharge Pulse Signal

作　　者：张炜 俸波 邬蓉蓉 ZHANG Wei;FENG Bo;WU Rongrong(Electric Power Science Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning 530023,Chin)

机构地区：[1]广西电网有限责任公司电力科学研究院,广西南宁530023

出　　处：《绝缘材料》2018年第7期77-82,共6页Insulating Materials

基　　金：南方电网公司科技项目(GXKJXM20151039)

摘　　要：为检测和识别高压开关柜的绝缘故障,提出一种局部放电特征向量的提取方法。首先,基于二维参数的降维统计方法提出了相位中值、正负半轴放电频次比值等主要统计算子,用以提取放电脉冲信号的幅值、相位等特征向量。然后模拟测试尖端、沿面、悬浮、接触不良等开关柜内部放电故障,并提取局部放电故障的相关信息。最后,分析局部放电图谱、时域图和放电模式识别效果,得出不同统计算子的贡献率。结果表明:该方法能够有效提取局部放电特征向量,降维提取的统计算子能够用于还原实际局部放电故障的相关信息。An extraction method of partial discharge characteristic vectors was proposed to detect and identify the insulation fault of high voltage switchgear. Firstly, based on the dimensionality reduction statistic method of two-dimensional parameters, some statistical operators such as phase position mid-value and the discharge frequency ratio of positive and negative half-axis were put forward, and these statistical operators were used to extract the amplitude, phase position, and other characteristic vectors of partial discharge pulse signal. Secondly, the discharge faults such as point discharge, surface discharge, suspended discharge, and poor contact were tested, and the relevant information of partial discharge fault was extracted. Finally, the partial discharge pattern, time domain diagram, and recognition effects of partial discharge modes were analyzed, and then the contribution rate of statistical operators was obtained. The results show that this method can extract the characteristic vectors of partial discharge effectively, and the statistical operators can be used to restore the information of actual partial discharge fault.

关 键 词：高压开关柜 局部放电图谱 时域图 局部放电 特征向量 脉冲放电信号 

分 类 号：TM855[电气工程—高电压与绝缘技术]