基于经验模态分解的电力系统受扰轨迹去噪方法

Denoising Method of Power System Perturbed Trajectory Based on Empirical Mode Decomposition

电力系统低频振荡已成为危及系统运行安全一个不容忽视的因素,受扰轨迹能够完整地反映模型及参数对系统动态行为的影响,体现系统振荡特性。本文在简单介绍经验模态分解(EMD)的基础之上,将经验模态分解用于消除电力系统受扰轨迹的非平稳趋势项,通过仿真分析结果证明了该方法的有效性,对系统振荡模式的识别具有重要的意义。

Power system Low frequency oscillation has become a key factor that endanger the safe operation of the system, and the model and parameter influence on the system dynamic behavior can be completely reflected by the disturbed trajectory. The empirical mode decomposition （EMD）is briefly introduced in this paper, and a new method for eliminating non-stationary trend of Perturbed Trajectory based on empirical mode decomposition is proposed. The simulation result proves the validity and superiority.