基于小波包能量熵与VDM的变电站变压器局部放电在线检测方法
Online Partial Discharge Detection Method for Substation Transformers Based on Wavelet Packet Energy Entropy and VDM
田贞1
作者信息
- 1. 中海石油(中国)天津分公司,天津 300450
- 折叠
摘要
为了精准且及时地感知变压器局部放电等异常现象,以某变电站变压器为例,开展局部放电在线检测方法的研究.采用小波分析法,对不同种类的放电参数进行分段采集与分析;采集变压器在常态化条件下运行的原始信号,根据小波包能量熵提出的能量守恒原则,引进小波包能量熵与VDM,进行变压器局部能量熵的提取;根据变压器放电的等值分析,获取等效电容中的电压值,以此为依据,实现对变电站变压器局部放电的在线检测及放电强弱的判断.实验结果表明,设计的方法可以实现对变压器局部放电的精准识别与检测.
Abstract
In order to accurately and timely perceive abnormal phenomena such as partial discharge of transformer,taking a transformer in a substation as an example,the research on partial discharge online detection method is carried out.The wavelet analysis method is used to collect and analyze different kinds of discharge parameters;the original signal of trans-former running under normal conditions is collected.According to the energy conservation principle proposed by wavelet packet energy entropy,wavelet packet energy entropy and VDM are introduced to extract the local energy entropy of transformer;according to the equivalent analysis of transformer discharge,the voltage value in the equivalent capacitance is obtained.Based on this,the on-line detection of transformer partial discharge and the judgment of discharge intensity are realized.The experimental results show that the designed method can accurately identify and detect the partial dis-charge of transformer.
关键词
小波包能量熵/在线检测/局部放电/变压器/变电站/VDMKey words
wavelet packet energy entropy/online detection/partial discharge/transformer/substation/VDM引用本文复制引用
出版年
2024
NETL
NSTL
万方数据