基于双树复小波和ICA的电网谐波检测方法

A Power Grid Harmonic Detection Method Based on Dual Tree Complex Wavelet and ICA

针对电网当中谐波严重的污染问题,提出一种基于双树复小波变换和ICA的电网谐波检测方法。该方法在不需要任何先验知识的情况下,先将混合的电网信号经过两个并行的实小波变换实现信号的分解和重构,得到各分量的最佳分解信号;结合ICA算法对分量信号继续进行盲源分离,解决了分解后频率混叠的问题,可以有效提取和分离电网谐波信息。相较于传统离散小波变换,双树复小波变换处理混合的电网信号时具有更低的频带能量泄露特性。通过仿真模拟电网谐波信号进行实验分析,表明了将双树复小波变换和ICA应用于电网谐波信息提取和分离的有效性。

To solve the problem of power grid harmonic pollution, a method based on dual tree complex wavelet transform and ICA grid harmonic detection is proposed. The signal decomposition and reconstruction is realized by transforming the hybrid grid signals with two parallel solid wavelets, and then the optimal decomposed signal can be acquired without any prior knowledge. The problem of the decomposed frequency aliasing is solved by utilizing the method of blind source separation combined with the ICA algorithm towards the component signals. Information of the power grid harmonics is abstracted and separated with great efficiency. Compared with the traditional discrete wavelet transform, when dealing with hybrid grid signals, the dual tree complex wavelet transform has the feature of lower frequency band energy leakage. The validity of the proposed method is verified by the simulation and tests.