A Voltage Sag Detection Method Based on Modified S Transform With Digital Prolate Spheroidal Window

被引：15

作者：

Li, Jianmin ^{[1
]}

Yang, Yuxiang ^{[1
]}

Lin, Haijun ^{[1
]}

Teng, Zhaosheng ^{[2
]}

Zhang, Fu ^{[2
]}

Xu, Yong ^{[3
]}

机构：

[1] Hunan Normal Univ, Coll Engn & Design, Changsha 410081, Peoples R China

[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China

[3] State Grid Hunan Integrated Energy Serv Ltd Co, Changsha 410007, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2021年 / 36卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Power quality; Time-frequency analysis; Microsoft Windows; Windows; Fourier transforms; Eigenvalues and eigenfunctions; Voltage sag; sag depth; phase jump; digital prolate spheroidal window; modified S transform; two-dimensional matrix;

D O I：

10.1109/TPWRD.2020.2999693

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：

Voltage sag is one of the most prominent power quality problems in the electric power system. Accurate estimation of voltage sag parameters is an important reference for electric utilities and users to evaluate power quality. In this paper, a novel algorithm based on modified S transform with digital prolate spheroidal window (DPSW) is proposed to achieve accurate detection of voltage sag. The DPSW and its time-frequency characteristics are firstly detailed. Then, the construction and performance of modified S transform with DPSW are given. Since DPSW has superior time-frequency distribution, characteristics of voltage sag signal, such as sag depth, duration, and phase jump, can be obtained by analyzing the two-dimensional complex matrix after the modified S transform with DPSW. Simulation and experimental results verify the accuracy and validity of the proposed algorithm.

引用

页码：997 / 1006

页数：10

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