高压直流局部放电的试验研究及其放电源识别策略  

Experimental Research on Partial Discharge at HVDC Voltage and Identification of PD Source

作　　者：牛海清[1,2] 陈小林[2,3] A. Cavallini G. C. Montanari 张尧[1] 

机构地区：[1]华南理工大学电力学院,广州510640 [2]Department of Electrical Engineering of Bologna University,Italy [3]西安交通大学电力设备电气绝缘国家重点实验室,西安710049

出　　处：《高电压技术》2009年第7期1641-1647,共7页High Voltage Engineering

摘　　要：在长期高压直流电压作用下,电气设备的绝缘不可避免地逐渐老化,有必要对其绝缘状态进行监测。由于不同性质的绝缘缺陷对电气设备的损害程度不同,因而缺陷的识别是非常重要的。为此,搭建了基于交流局放检测设备的直流局部放电检测系统,对3种典型的直流放电(电晕、沿面、内部放电)进行了试验研究,建立了典型放电的数据库,给出了试验结果。并基于局部放电信号之间的相关性统计特性,试图通过对各种参数的分析,寻求区别不同放电现象(电晕、沿面、内部放电)的特性参数,对直流电压作用下的放电源进行识别。研究表明,直流电压作用下,将电晕放电从沿面放电和内部放电中分离出来相对来说难度小一些;而单靠现有的局部放电的统计分析将内部放电从沿面放电中分离出来是很难的,需要进一步寻找两种放电的新的特性参数。The measurement system of PD at DC voltage was set up base d on AC device, the typical PD under DC voltage, such as internal, surface and corona were detected, and data were got. Techniques based on the statistical correlation between subsequent PD events were proposed to identify PD sources under DC voltage. Moreover, novel features being able to characterize different phenomena （that can be described in broad terms as internal, surface and corona PD） were searched . The result＇shows that identification of corona from internal and surface discharge is not so difficult; however identification of internal discharge from surface discharge is very hard and need to find new characteristic parameters of those two discharges.

关 键 词：直流 局部放电 电晕放电 沿面放电 内部放电 统计分析 放电识别 

分 类 号：TM835[电气工程—高电压与绝缘技术]