Distinguishing Between Natural and Forced Oscillations Using a Cross-Spectrum Index

被引：0

作者：

Xie, Ruichao ^{[1
]}

Trudnowski, Daniel J. ^{[1
]}

机构：

[1] Montana Tech Univ, Butte, MT 59701 USA

来源：

2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年

关键词：

Electromechanical oscillations; forced oscillations; spectral analysis;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Two different types of oscillatory responses often occur in power systems: natural and forced. Natural oscillations are characterized by the electromechanical eigenvalues (or modes) and are typically initiated by a system discontinuity (e.g., a fault). Forced oscillations are caused by some external input driving the system into a sustained oscillation. A fundamental goal is to distinguish between a very lightly-damped (or undamped) natural oscillation and a forced oscillation based upon system-wide measurements. In this paper, a cross-spectrum index function is developed for distinguishing between the two types of oscillations based upon time-synchronized PMU measurements. A simulation and a real-life event are used to demonstrate key points.

引用

页数：5

共 50 条

[31] Distinguishing between physiological and essential tremor using discriminant and cluster analyses of parameters derived from the frequency spectrum
Wharrad, HJ
Jefferson, D
HUMAN MOVEMENT SCIENCE, 2000, 19 (03) : 319 - 339
[32] Distinguishing between Natural and Hatchery Snake River Fall Chinook Salmon Subyearlings in the Field Using Body Morphology
Tiffan, Kenneth F.
Connor, William P.
TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY, 2011, 140 (01) : 21 - 30
[33] A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions
Bigot, Jeremie
Longcamp, Marieke
Dal Maso, Fabien
Amarantini, David
NEUROIMAGE, 2011, 55 (04) : 1504 - 1518
[34] Correlation between cardiometabolic index and psoriasis: a cross-sectional analysis using NHANES data
Li, Mengxue
Gan, Yixiao
Cheng, Hong
Wang, Zhicheng
FRONTIERS IN PHYSIOLOGY, 2025, 16
[35] Sparseness of Natural Oscillations Spectrum for Double-Mirror Open Resonator Using Mode-Selective Scatterers on One of Mirrors Surface
Pazynin V.L.
Radioelectronics and Communications Systems, 2021, 64 (10) : 525 - 534
[36] Distinguishing between autism spectrum disorder and attention deficit hyperactivity disorder by using behavioral checklists, cognitive assessments, and neuropsychological test battery
Matsuura, Naomi
Ishitobi, Makoto
Arai, Sumiyoshi
Kawamura, Kaori
Asano, Mizuki
Inohara, Keisuke
Narimoto, Tadamasa
Wada, Yuji
Hiratani, Michio
Kosaka, Hirotaka
ASIAN JOURNAL OF PSYCHIATRY, 2014, 12 : 50 - 57
[37] Distinguishing between the interior pressures induced by independent sources within a room using the probabilistic approach and model class selection index: An experiment
Lee, Y. Y.
Lam, H. F.
Sun, H. Y.
JOURNAL OF SOUND AND VIBRATION, 2008, 317 (3-5) : 646 - 656
[38] Distinguishing between tectonic and lithologic controls on bedrock channel longitudinal profleiles using cosmogenic 10Be erosion rates and channel steepness index
Cyr, Andrew J.
Granger, Darryl E.
Olivetti, Valerio
Molin, Paola
GEOMORPHOLOGY, 2014, 209 : 27 - 38
[39] Evaluating malocclusion patterns in children with autism spectrum disorder using the index of complexity, outcome and need: a cross-sectional study
Farzanegan, Fahimeh
Shadmehri, Sahar Ahmadi
Shooshtari, Zahra
Hamidi, Amir Reza
Shahri, Arsalan
BMC ORAL HEALTH, 2024, 24 (01):
[40] Cross-Talk between Mucosal-Associated Invariant T, Natural Killer, and Natural Killer T Cell Populations is Implicated in the Pathogenesis of Placenta Accreta Spectrum
El-Badawy, Omnia
Abbas, Ahmed M.
Radwan, Eman
Makboul, Rania
Khamis, Areej A.
Ali, Maha
Elkabsh, Mai M.
Bakr, Marwa H.
Zahran, Asmaa M.
INFLAMMATION, 2023, 46 (04) : 1192 - 1208

← 1 2 3 4 5 →