arrow
返回

Multi-dimensional ringdown modal analysis by filtering

delete2017-02-01
delete19
PRE
AI
A
Alejandro Zamora‐Mendez
V
V. Venkatasubramanian
J
José Antonio de la O Serna
J
Juan M. Ramı́rez *
M
Mario R. Arrieta Paternina
DOI:10.1016/j.epsr.2016.10.022delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Based on collected data from multiple phasor measurement units (PMUs), this paper investigates and establishes the advantages of Taylor, Kalman, and Fourier filters for extracting relevant modal information of power system responses after a large disturbance takes place. The main strengths of the filters-based approach are speed estimation, ability to track different damping levels and receive multiple measurement channels for their processing by a multi-dimensional ringdown analysis. The proposals are tested under noisy conditions in simulated data and actual measurements, for showcasing the capability of identifying multiple electromechanical modes and for providing global information about modal properties of the power system. Proper results exhibit the performance of the proposition, enabling to establish it into a wide-area measurements system. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Alternating Kalman
Electromechanical mode identification
Phasor measurement unit
Ringdown analysis
Taylor-Fourier transform
Taylor-Kalman-Fourier
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Electric Power Systems Research 封面图
Electric Power Systems Research
IF:
4.2
论文数:
1.2W
被引数:
2.2W

机构

U
universidad autonoma de nuevo leon
学者数:
7.0K
论文数: 3.9K
被引数: 1
I
instituto politecnico nacional - mexico
学者数:
1.6W
论文数: 1.0W
被引数: 3
W
washington state university
学者数:
1.8W
论文数: 1.6W
被引数: 114
学者 查看更多机构
引用论文

引用论文

Multi-Dimensional Fourier Ringdown Analysis for Power Systems Using Synchrophasors
err2014-03-01
err66
PREAI
errTashman, Zaid; Khalilinia, Hamed; Venkatasubramanian, Vaithianathan
err分享
err收藏
Identification of Electromechanical Modes Based on the Digital Taylor-Fourier Transform
err2016-01-01
err39
PREAI
errde la O Serna, Jose Antonio; Ramirez, Juan M.; Zamora Mendez, Alejandro; Arrieta Paternina, Mario R.
err分享
err收藏
High-Purity Carbon Dots Prepared by Modulating Morphology of Carbon Nano-Crystals: In Vitro and In Vivo Multi-Color Bioimaging
errNano
IF0
err2019-12-30
err0
PREAI
errFeng Huo; Yuran Tang; Yuhang Liu; Chao Tan; Lin Chang; Zakaria Mirza; Wei Zhang
err分享
err收藏
学者 查看更多内容