作　　者： ; ;

机构地区： 广西大学电气工程学院

出　　处： 《电网技术》 2010年第5期41-45,共5页

摘　　要： 提出了一种基于经验模态分解(empirical mode decomposition,EMD)的方法来对电能质量扰动信号进行定位。在EMD方法分解过程中,异常数据会在其第1个固有模态分量中引起局部高频突变信号,此高频突变信号具有幅值相对于无扰动时明显增大的特点。利用此特点,对含有电能质量扰动的电网电压进行EMD分解后得到的第1个固有模态分量求取一阶导数,然后对一阶导数进行阈值处理来确定扰动发生及终止的时刻。仿真结果表明,此方法对多种电能质量扰动信号信号有较好的定位效果。 An empirical mode decomposition （EMD） based method to locate power quality disturbing signal is proposed. During the decomposition by EMD, abnormal data will cause local high-frequency abrupt signal in its first intrinsic mode function （IMF）component, and the amplitude of the abrupt signal is evidently higher than that of normal signals. Utilizing this character, at first the EMD is applied to power network voltage containing power quality disturbance; then the obtained first IMF component is derived to get its first-order derivative; and then the first-order derivative is dealt with by adaptive threshold pulse extraction method to determine the position where the disturbance happened and the moments when the disturbance occurred and ended. Simulation results show that the proposed method can loacte multi power quality disturbance signals.

关 键 词： 经验模态分解 电能质量扰动 定位

领　　域： [电气工程]