基于信号子空间跟踪算法的非整数次谐波检测方法  

Principal component analysis subspace tracking algorithm for non-integer harmonics detection

作　　者：李诚诚[1] 汪芳宗[1] 

机构地区：[1]三峡大学电气信息学院,湖北宜昌443002

出　　处：《电力系统保护与控制》2009年第19期97-100,共4页Power System Protection and Control

摘　　要：运用压缩映射技术将一种基于新的信息准则的信号子空间跟踪算法,推广为可以直接跟踪信号子空间特征成分的新算法。该算法与AIC准则或MDL准则相融合,可以同时跟踪信号子空间及其秩。对所提算法进行了仿真实验研究,并将其与PASTd算法进行了比较。仿真结果表明,所提算法具有更好的跟踪性能,非常适合于电力系统间、次谐波的实时检测。In this paper, the algorithm of fast subspace tracking based on the novel information criterion is extended to principal component extraction by means of the deflation technique. Combined with the information theoretic criterion like Akaike Information Criterion or Minimum Description Length criterion, the proposed algorithm can track both signal subspace and rank. The performance of the proposed algorithm is tested and compared to PASTd by numerical simulation. Simulation results show that the proposed algorithm has better tracking ability for both signal subspace and rank, thus is more suitable to actual non-integer harmonics measurement in power systems.

关 键 词：谐波分析 特征值问题 特征成分分析 信号子空间跟踪 PASTd 神经网络 

分 类 号：TM935[电气工程—电力电子与电力传动]