电测与仪表Issue(3)：55-59,5.
基于变遗忘因子RNTA的谐波检测新方法
New Harmonic Detection Method Based on Variable Forgetting Factor RNTA
摘要
Abstract
In allusion to the problems of weak tracking and big error parameter estimation of the traditional non-recursive Newton-type algorithm, the paper puts forward a variable forgetting factor recursive Newton-type method to detect harmonic in power system. In the context of RLS algorithm, the mathematical model of recursive Newton-type method is obtained from non-recursive Newton-type, which avoids each matrix inversion of iteration process and implementes the real time with a computer much easier. Then setting residual data window length, calculating the total residuals and introducing forgetting factor are used to speed up the iterative convergence and improve the detection precision. The simulation results show that the algorithm is not only to overcome traditional algorithm’s initial slow convergence and low detecting precision in noise state, but also to have more superior dynamic tracking characteristic in the unsteady environment.关键词
RNTA/遗忘因子/修正函数/RLS算法Key words
RNTA/forgetting factor/adjustable function/RLS algorithm分类
信息技术与安全科学引用本文复制引用
王亚丽,方永丽..基于变遗忘因子RNTA的谐波检测新方法[J].电测与仪表,2013,(3):55-59,5.基金项目
江苏省科技支撑计划资助项目(BE2012042) （BE2012042）
