基于αβ变换和自适应卡尔曼滤波的任意次谐波电流检测  

Random Harmonic Current Detection Based on αβ transform and Adaptive Kalman Filter

作　　者：林呈辉[1] 杨洪耕[1] 袁锋[1] 

机构地区：[1]四川大学电气信息学院,四川成都610065

出　　处：《现代电力》2008年第4期45-49,共5页Modern Electric Power

摘　　要：为了实时准确地检测实际电力系统的谐波电流信号,提出了一种基于αβ变换和自适应卡尔曼滤波的任意次谐波电流检测方法。该方法首先对三相电流信号进行归一化处理,然后通过αβ变换将含有谐波和噪声的三相不对称电流信号分解为两个互相垂直的αβ分量,建立含有基波和谐波正负序分量的卡尔曼滤波状态方程,通过改变状态方程的参数可以实现任意指定次谐波的检测。最后利用卡尔曼滤波算法快速准确地检测三相不平衡电流信号的基波分量和任意次谐波分量。通过自适应修正系统噪声方差阵Q,降低模型误差并有效抑制滤波发散现象。MATLAB仿真结果证明了该方法的有效性。In order to accurately detect real-time harmonic current signals in real power system, a random harmonic current detection method is proposed based on αβ transform and adaptive Kalman filter. The three-phase current signal is normalized and the three-phase asymmetry current with harmonic and noise signals is divided into two mutually perpendicular aft component through αβ transform, in order to establish the state equation of Kalman filter, which has plus and minus sequence components of fundamental and harmonic current. It can detect any appointed harmonic by changing the parameters in the state equation. Kalman filtering algorithm is used to quickly and accurately detect the fundamental component and random harmonic component of unbalanced three-phase current. System noise matrix Q is auto-adapted in order to reduce model error and restrain the radiation of hormonics. Results of MATLAB simulation prove the effectiveness of the method.

关 键 词：ΑΒ变换 卡尔曼滤波 谐波检测 有源滤波 电能质量 

分 类 号：TM711[电气工程—电力系统及自动化] TM714