基于互补集合经验模态分解的线路故障测距

Line Fault Location Based on Complementary Ensemble Empirical Mode Decomposition

为了使高压输电线路在产生故障后,能够快速、精确地找到线路上的故障点,恢复电力系统的稳定性,设计了基于互补集合经验模态分解的线路故障测距方法。当输电线路产生故障后,故障线路会产生暂态行波,暂态行波是一种非线性非平稳的信号,而希尔伯特-黄用于非线性非平稳的信号分析。由于在经验模态分解故障信号时,可能会出现模态混叠的问题,故提出在基于希尔伯特-黄的基础上,将经验模态分解替换成互补集合经验模态分解的方法来分析故障信号,实现故障定位。利用MATLAB软件搭建仿真模型,仿真结果验证了方法的可行性。

After a high-voltage transmission line fails,the fault point on the line should be quickly and accurately found to restore the stability of the power system.A line fault location method based on complementary ensemble empirical mode decomposition was designed.Once the transmission line fails,the faulty line will produce transient traveling waves.Transient traveling wave was a nonlinear and non-stationary signal,and Hilbert-Huang transform was suitable for nonlinear and non-stationary signal analysis.Since the problem of modal aliasing may occur when the fault signal was decomposed by empirical mode,it was proposed to replace the empirical mode decomposition with a complementary set of empirical mode decomposition on the basis of Hilbert Huang transform to analyze fault signal for realizing fault location.In addition,use MATLAB software to build a simulation model.The simulation results verify the feasibility of this method.