基于ITD的电网故障行波信息提取新方法

为精确提取行波信号包含的故障信息，提高电网故障行波特征检测的准确度，提出了一种提取暂态行波信息的新方法。该方法采用固有时间尺度分解原理（ITD）分析故障行波信号，将其分解成若干固有旋转分量和趋势余量，提取故障分析所需高频分量，计算各个分量的瞬时相位和频率，精确确定初始行波到达的时间。算例对比和仿真分析结果表明，该方法在局部特征信息保留和分解速度上比经验模态和局部均值分解有优势，用于电网故障定位具有较高的精度和效率。

A New Extraction Method of Traveling Wave Fault Information Based on Intrinsic Time-scale Decomposition

To accurately extract the fault information of traveling wave head and improve the traveling wave feature extraction efficiency in power system, a new information extraction method for transient traveling is presented. This method uses the principle of intrinsic time-scale decomposition to analyze fault traveling wave signal, decomposes a signal into several intrinsic rotation components and a trend component,and extract the high frequency component for fault analysis.It is also used to calculate the instantaneous phase and frequency of each component, and the arrival time of traveling wave can be detected accurately. Comparison analysis and simulation results show that this method is better in the local feature information retention and decomposition rate compared with empirical mode decomposition and local mean decomposition, and the precision and efficiency of fault location are in range of practical acceptance.