基于CEEMDAN与Teager能量算子的谐波检测方法

A harmonic detection method based on CEEMDAN and teager energy operator algorithm

针对现有的电力系统谐波信号检测方法精度不高的问题,提出一种基于自适应噪声的完全集合经验模态分解(CEEMDAN)和Teager能量算子的谐波检测新方法。首先利用CEEMDAN对谐波信号进行分解,获得不同局部特征时间尺度的固有模态函数(IMF)分量。其次,通过改进的EEMD去噪方法和相关性判据方法分别去除噪声分量和虚假分量得到真实的谐波分量。最后利用Teager能量算子计算出谐波分量的瞬时幅值和瞬时频率,可以准确地获得谐波信号的能量谱信息。该方法充分利用了CEEMDAN的局部自适应性与Teager能量算子的快速响应特点,通过EMD、EEMD和CEEMDAN分别与Teager能量算子相结合的方法进行谐波检测。对比检测结果不仅表明了该方法具有较高的检测精度,而且验证了所提方法的可行性和有效性。

For the low accuracy of the existing power system harmonic signal detection methods, this paper proposes a novel algorithm based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) and Teager energy operator algorithm. Firstly, the CEEMDAN is utilized to decompose harmonic signal, to get the intrinsic mode function(IMF) components which have different local characteristic time scales. Secondly, to obtain the true harmonic components of IMF, EEMD denoising method and correlation criterion method are improved to remove respectively the noise signal and the false component. Lastly, instantaneous amplitudes and frequencies of the true harmonic components are calculated by the Teager energy operator, which can obtain harmonic signal energy spectrum information accurately. The method makes full use of the local adaptability of CEEMDAN and the rapid response characteristics of Teager energy operator. EMD, EEMD and CEEMDAN are combined respectively with the Teager energy operator to detect harmonic, and by contrasting to the detection results, not only the method has higher detection accuracy, but also the feasibility and validity of the proposed method is verified.