电测与仪表2012，Vol.49Issue(6)：15-18,76,5.
基于Root-MUSIC和支持向量机的间谐波参数估计
Interharmonics Estimation Based on Root-MUSIC and SVM Algorithm
李新 1刘杰 1陈文礼2
作者信息
- 1. 重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400044
- 2. 重庆市电力公司电力科学研究院,重庆401123
- 折叠
摘要
Abstract
In order to accurately detect the parameters of the interharmonics in power system, an algorithm based on root-multiple signal classification (Root-MUSIC) and support vector machine (SVM) is proposed. First, eigenvalue decomposition is used for the autocorrelation of matrix constructed by sampling data,and the numbers and frequencies of the interharmonics are obtained using the orthogonality between signal subspace and noise subspace; then SVM is used to estimate the amplitudes and phases of the interharmonics. Matlab simulation results show the accuracy of this algorithm for frequency estimation in the condition of low SNR. Benefiting from SVM in processing small sample data, the accuracy of amplitudes and phases estimating is improved effectively.关键词
间谐波/求根多重信号分类法(Root-MUSIC)/支持向量机(SVM)/参数估计Key words
interharmonics/ root-MUSIC algorithm/ SVM/ parameters estimation分类
信息技术与安全科学引用本文复制引用
李新,刘杰,陈文礼..基于Root-MUSIC和支持向量机的间谐波参数估计[J].电测与仪表,2012,49(6):15-18,76,5.
