A robust support vector algorithm for harmonic and interharmonic analysis of electric power system

A novel robust algorithm to harmonic and interharmonic analysis based on support vector machines (SVM) and solved by iterative reweighted least squares (IRWLS) algorithm to overcome the difficulty of exponential computation complexity, is proposed in the paper. It has a good precision for analyzing harmonics and interharmonics without synchronized sampling that is essential for fast Fourier transform (FFT). By introducing a specific loss function, the method can mitigate the infection of outliers and noises and exhibits robustness characteristics. Its IRWLS-based implementation makes it efficient and suitable for harmonic and interharmonic analysis of electric power system. The case studies showed its high precision and robustness of the SVM spectral analysis algorithm.