电力系统密集型频率信号的测量与分析

针对非同步采样条件下密集频率信号无法准确测量的问题，提出一种密集型频率信号检测方法。基于离散傅里叶变换建立密集型频率信号模型，然后对单通道观测信号做周期延拓，形成多路信号。使用可变主成分分析法进行去相关性处理。再基于极大似然盲源分离法求解密集型频率信号模型。最后根据比例系数校正各频率成分参数。仿真和实验结果表明，所提方法具有较高的精度和一定的抗噪声能力。

Measurement and Analysis of Dense Frequency Signal in Power System

In order to solve the problem that dense frequency signal can not be measured accurately under the condition of asynchronous sampling, a detection method of dense frequency signal was proposed. The dense frequency signal model was established based on the discrete Fourier transform. And the single channel observation signal was extended periodically to form a multi-channel signal. Then, variable principal component analysis was used to remove the correlation. The dense frequency signal model was solved based on the maximum likelihood blind source separation method. Finally, the parameters of each frequency component were corrected according to the scale coefficient. Simulation and experimental results show that the proposed method has high accuracy and certain anti-noise ability.