Multi-dimensional ringdown modal analysis by filtering

被引：17
|
作者：
Zamora, Alejandro [1 ]
Venkatasubramanian, V. Mani [2 ]
de la O Serna, Jose Antonio [3 ]
Ramirez, Juan M. [1 ]
Paternina, M. R. A. [1 ]
机构：
[1] Natl Polytech Inst, Ctr Res & Adv Studies, Zapopan 45019, Jal, Mexico
[2] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99163 USA
[3] Autonomous Univ Nuevo Leon, Dept Elect Engn, Monterrey 66450, NL, Mexico
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2017年 / 143卷
关键词：
Alternating Kalman; Electromechanical mode identification; Phasor measurement unit; Ringdown analysis; Taylor-Fourier transform; Taylor-Kalman-Fourier; ELECTROMECHANICAL MODES; PRONY ANALYSIS; IDENTIFICATION; SYNCHROPHASOR; ALGORITHM;
D O I：
10.1016/j.epsr.2016.10.022
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：
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.
引用
收藏
页码：748 / 759
页数：12
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