基于EEMD-ICA与SVD的电网谐波检测方法研究

论文将EEMD-ICA技术与SVD相结合，提出基于EEMD-SVD-ICA算法的单通道电网电压谐波分离方法，与现有单通道谐波分离方法相比具有无需源信号先验信息，可分离非平稳信号谐波，算法简单等优点。EEMD方法将单通道信号分解为多路互相正交的本征模态函数分量(IMFs)，然后采用SVD代替PCA方法进行数据降维，再运用基于负熵的固定点独立成分分析(FastICA)方法提取IMFs独立分量，实现单通道电网电压谐波分离。对模拟信号进行谐波分离，验证所提方法在该领域的应用的可行性，仿真结果表明论文所提方法不仅能够分离电网电压的谐波，并且对频率小于50Hz的间谐波也有很好的分离效果。

Harmonic Separation From Grid Voltage with EEMD-ICA and SVD

Harmonics, inter-harmonics in power system distorts grid voltage, reduces power quality, affects the security of power grid. Rapid and accurate harmonics separation from grid voltage is the key technology to ensure power system operates safely and stably. Blind Source Separation(BSS) method based on Independent Component Analysis(ICA) is used to separate the different kinds of components in grid voltage. Grid voltage contained with harmonics is acquired in only single channel, and harmonics separation from grid voltage belongs to single channel ICA problem, which is extreme undetermined ICA problem. In order to solve this puzzle, a new method for harmonics separation from single channel grid voltage, which combines EEMD, FastICA and SVD method has been proposed in this paper.