基于卡尔曼滤波的谐波检测分析

针对日益严重且复杂的电网谐波问题,提出了一种基于卡尔曼滤波的谐波检测方法.阐述了卡尔曼滤波器的跟踪估计原理,并建立了基于卡尔曼滤波器谐波分析的数值模型,结合Matlab仿真平台对算法检测稳态谐波和暂态谐波信号的性能进行了分析.通过对比研究表明该算法在准确度、快速性、暂态谐波分析等方面均优于快速傅里叶变换(FFT),仿真和试验结果表明该算法在分析复杂的电网电能质量事件中具有较高的实用性.

Harmonics Detection and Analysis Based on Kalman Filter

To solve the increasingly harmonic problem which is serious and complex, this paper presented a harmonic detection method based on Kalman filter. In this paper, the Kalman filter estimation theory was discussed, and the numerical model based on Kalman filter analysis was established. Combined with the performance of the simulation platform of Matlab, it discussed the performance of the algorithm for detecting the steady harmonic and transient harmonic signal. The comparative study shows that this algorithm is superior in accuracy, rapidity, transient harmonic analysis to the Fast Fourier Transform algorithm (FFT). The simulation and experiment results show that the algorithm is quite practical in complex electric power quality analysis.