Augmented Complex Least Lncosh Algorithm for Adaptive Frequency Estimation

被引：3

作者：

Zhao, Haiquan ^{[1
,2
]}

Wang, Zhuonan ^{[1
,2
]}

Xu, Wenjing ^{[1
,2
]}

机构：

[1] Southwest Jiaotong Univ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Minist Educ, Chengdu 610031, Peoples R China

[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2023年 / 70卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Augmented complex least lncosh (ACLlncosh); frequency estimation; widely linear modelling; unbalanced three-phase voltage; POWER-SYSTEM FREQUENCY;

D O I：

10.1109/TCSII.2023.3239361

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：

In this brief, an augmented complex least mean lncosh (ACLlncosh) algorithm is proposed to estimate the frequency of the three-phase unbalanced power system in impulsive noise environment. By introducing the Clarke's alpha beta transformation and widely linear (WL) model into the Llncosh cost function, and using CR Calculus, the ACLlncosh algorithm is derived. Moreover, a variable parameter method is proposed to improve the performance of ACLlncosh. The mean and mean-square stability of the proposed ACLlncosh algorithm are analyzed, and the corresponding stable step size ranges are also given. Computer simulations under some typical power system operating situations verify the superiority of the proposed ACLlncosh algorithm than the complex least mean lncosh (CLlncosh) and augmented complex least mean square (ACLMS) algorithms in power system frequency estimation.

引用

页码：2685 / 2689

页数：5

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