采用形态小波变换原理的超高速故障选相算法研究

Ultra-high speed fault phase selection method using morphology-wavelet transform

提出一种形态滤波与小波变换相结合的超高速故障选相方法。该方法首先将故障相量通过凯伦贝尔变换转换成模故障分量,然后用形态滤波器滤除大部分噪声干扰,再采用小波变换求取各模量的模极大值,最后根据各模量模极大值特征构造一种新型的故障选相元件。用该方法实现的选相元件能够克服传统选相元件的不足,具有超高速特点,且不受过渡电阻及系统运行方式的影响,选相结果准确、可靠。通过大量仿真结果证明了该选相元件的有效性与正确性。

This paper proposes a ultra-high speed fault-phase selection method using morphological filter and wavelet transform.This method firstly transforms the fault phasor into mold fault component through Kailunbeier,and uses morphological filters to filter out most of the noise,then calculates the using modulus maxima wavelet transform,and finally constructs a new type of fault phase selector according to the modulus maxima characteristic of the various modulus.This novel method can remedy the defects of conventional fault phase selector,has ultra-high speed,and is insensitive to fault resistance and system operation mode.Simulation results show that the proposed approach is effective and valid.