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

被引：17

作者：

Zhan, Y ^{[1
]}

Cheng, HZ ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2005年 / 73卷 / 03期

关键词：

electric power system; power quality; harmonic and interharmonic analysis; signal processing; robustness; support vector machines;

D O I：

10.1016/j.epsr.2004.09.002

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：393 / 400

页数：8

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