基于拉普拉斯小波的变压器绕组 PD 定位研究

PD Positioning of Transformer Windings Based on Laplace Wavelets

摘要

电力变压器是供配电系统当中的主要元器件之一,也是最重要的电压转换设备,变压器运行状态的好坏对供配电系统的稳定起到重要作用.变压器的故障绝大多数都是由绕组的局部放电(PD)发展而来,因此通过监测绕组局部放电可以有效的评估变压器的绝缘健康状态.通过将小波变换(WT)信号处理方法和拉普拉斯变换算法相结合,成为拉普拉斯小波变换(LWT).通过使用包络小波(EWT)对算法进行改进,应用于对PD信号的处理,然后计算海林格距离实现变压器绕组进行局部放电点的定位.仿真数据表明,改进后的拉普拉斯小波算法可以精确且高效地进行放电点的定位.

Abstract

Power transformers are one of the main components and the most important voltage conversion equipment in the power supply and distribution system. The operation status of transformers plays an important role in the stability of the power supply and distribution system. The vast majority of transformer faults develop from partial discharge (PD) in windings, so monitoring PD in windings can effectively evaluate the insulation health status of transformers. By combining wavelet transform (WT) signal processing method with Laplace transform algorithm, Laplace wavelet transform (LWT) is formed. The algorithm is improved by using envelope wavelets (EWT), which is applied to the processing of PD signals, and then calculates the Hellinger distance to locate the partial discharge point of the transformer winding. The simulation data show that the improved Laplace wavelet algorithm can accurately and efficiently locate the discharge point.

关键词

局部放电 / 变压器绕组 / 小波分析 / 拉普拉斯 / 故障定位

Key words

partial discharge / transformer winding / wavelet analysis / laplace / fault location

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