Journal ArticleDOI
Initial results in power system identification from injected probing signals using a subspace method
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In this article, the authors used the Numerical algorithm for Subspace State Space System IDentification (N4SID) to extract dynamic parameters from phasor measurements collected on the western North American Power Grid.Abstract:
In this paper, the authors use the Numerical algorithm for Subspace State Space System IDentification (N4SID) to extract dynamic parameters from phasor measurements collected on the western North American Power Grid. The data were obtained during tests on June 7, 2000, and they represent wide area response to several kinds of probing signals, including low-level pseudo-random noise (LLPRN) and single-mode square wave (SMSW) injected at the Celilo terminal of the Pacific HVDC Intertie (PDCI). An identified model is validated using a cross validation method. Also, the obtained electromechanical modes are compared with the results from Prony analysis of a ringdown and with signal analysis of ambient data measured under similar operating conditions. The consistent results show that methods in this class can be highly effective, even when the probing signal is smallread more
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Journal ArticleDOI
An Online Dynamic Security Assessment Scheme Using Phasor Measurements and Decision Trees
TL;DR: The proposed scheme is able to identify key security indicators and give reliable and accurate online dynamic security predictions and is tested on a 2100-bus, 2600-line, 240-generator operational model of the Entergy system.
Journal ArticleDOI
Performance of Three Mode-Meter Block-Processing Algorithms for Automated Dynamic Stability Assessment
TL;DR: In this article, the performance properties of three mode-estimation block-processing algorithms from the perspective of near real-time automated stability assessment are demonstrated and examined, and issues addressed include: stability assessment requirements, automated subset selecting identified modes; using algorithms in an automated format; data assumptions and quality; and expected algorithm estimation performance.
Journal ArticleDOI
Synchrophasor Measurement Technology in Power Systems: Panorama and State-of-the-Art
TL;DR: This bibliography will aid academic researchers and practicing engineers in adopting appropriate topics and will stimulate utilities toward development and implementation of software packages.
Journal ArticleDOI
Electromechanical Mode Online Estimation Using Regularized Robust RLS Methods
TL;DR: In this article, a regularized robust recursive least squares (R3LS) method was proposed for online estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data.
Journal ArticleDOI
Robust RLS Methods for Online Estimation of Power System Electromechanical Modes
TL;DR: In this paper, a robust recursive least square (RRLS) algorithm is proposed for online identification of power system modes based on measurement data and the mode estimation is provided in real-time.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI
Initial results in Prony analysis of power system response signals
TL;DR: Prony analysis as mentioned in this paper extends Fourier analysis by directly estimating the frequency, damping, strength, and relative phase of modal components present in a given signal, which can be used to extract such information from transient stability program simulations and from large-scale system tests of disturbances.
Journal ArticleDOI
Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
TL;DR: Two algorithms to identify a linear, time-invariant, finite dimensional state space model from input-output data and a special case of the recently developed Multivariable Output-Error State Space (MOESP) class of algorithms based on instrumental variables are described.
Proceedings ArticleDOI
Canonical variate analysis in identification, filtering, and adaptive control
TL;DR: The canonical variate analysis (CVA) approach as discussed by the authors is an approach for system identification, filtering, and adaptive control that is characterized by a generalized singular value decomposition (SVD).
Book
A course in digital signal processing
TL;DR: This book provides readers with a precise, comprehensive, practical, and up-to-date exposition on digital signal processing, and presents a rigorous course of study to help readers learn the theory and practice of DSP.