基于小波分析的电流互感器局部暂态饱和识别方法
Local Transient Saturation Identification Method for Current Transformers Based on Wavelet Analysis
卞亚芳 1吴海涛1
作者信息
- 1. 国网江苏省电力有限公司泰州供电分公司,江苏 泰州 225300
- 折叠
摘要
为精确捕捉电流互感器局部暂态饱和现象,保证电力系统的安全稳定运行,利用小波分析开展了电流互感器局部暂态饱和识别方法研究.首先,利用数据采集卡采集电流互感器二次侧电流信号,并对其进行去噪与放大预处理;其次,利用小波分析提取CT饱和状态特征,实现对饱和状态的准确表征.在此基础上,依据电流互感器饱和时的一些关键特性,设定局部暂态饱和状态阈值,与电流互感器运行特征进行比较,识别其是否进入局部暂态饱和状态.结果表明,应用该方法后,识别率均达到98%以上,显示出较高的灵敏度,能更准确地发现和识别出微弱的饱和迹象.
Abstract
In order to accurately capture the local transient saturation phenomenon of current transformers and ensure the safe and stable operation of power systems,a method for identifying local transient saturation of current transformers was studied using wavelet analysis.Firstly,use a data acquisition card to collect the secondary side current signal of the current transformer,and perform denoising and amplification preprocessing on it.Secondly,using wavelet analysis to extract CT saturation state features and achieve accurate characterization of saturation state.On this basis,based on some key characteristics of current transformer saturation,a local transient saturation state threshold is set,and compared with the operating characteristics of the current transformer to identify whether it has entered a local transient saturation state.The results show that after application,the recognition rate of this method has reached over 98%,showing high sensitivity and being able to more accurately detect and recognize weak signs of saturation.
关键词
小波分析/电流互感器/局部暂态/饱和识别方法Key words
wavelet analysis/current transformer/local transient/saturation identification method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据