基于传递函数和小波变换的变压器故障诊断研究

Transformer Diagnosis based on Wavelet Transform and Transfer Function

电力变压器的安全运行对电力系统的正常工作至关重要,如何及时有效地诊断变压器故障是保障电网安全运行的重要问题。本文针对变压器绕组变形后的传递函数进行了分析,并采用小波变换的方法对频响曲线的能量谱进行了探究,寻找了故障的严重程度和位置与频响曲线能量间可能的关系。研究表明故障严重程度和频响曲线高频成分的能量呈负相关,但故障位置和高频成分能量间无明显关联。

The safe operation of power transformers plays an important role in the safety of electrical power system. How to effectively diagnose the transformer fault is an important problem to ensure the safe operation of the transformer. In this paper, the increase of stray capacitance and fault resistance leads to the increase of transformer operation noise, as a result, The energy spectrum signal of the sweep signal of the transformer is analyzed by wavelet transform to explore the relationship between the fault severity, fault location and the energy of the high frequency signal. The study shows that the severity of the transformer fault is positively related to the energy of the high frequency component of the sweep signal, but there is no obvious correlation between the fault location of the transformer and the energy of the high frequency component.