Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion

This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated with each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping rati...

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Bibliographic Details
Published in:IEEE transactions on power systems 2016-07, Vol.31 (4), p.2621-2633
Main Authors: Peric, Vedran S., Bombois, Xavier, Vanfretti, Luigi
Format: Article
Language:English
Subjects:
Asymptotic properties
Automatic
Computation
Computational modeling
Covariance matrices
Criteria
Damping
Electronic equipment tests
Engineering Sciences
Estimating techniques
Estimation
Estimators
Mathematical model
Mode estimation
mode meter
Online
Optimization
PMU placement
Power systems
prediction error
Shape
signal selection
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Summary:This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated with each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping ratio. The value of the criterion is computed directly from an estimated autoregressive moving average (ARMA) model. Because the online computation of the defined criterion (for each measured signal in the system) may be computationally expensive, a fast pre-selection method for initial signal ranking is formulated. The pre-selection method is used to effectively determine a set of the candidate signals for which the formal criterion is evaluated in a second stage. The methodology is illustrated using synthetic measurements from the KTH Nordic 32 and the IEEE 39-bus test systems.
ISSN:0885-8950
1558-0679
1558-0679
DOI:10.1109/TPWRS.2015.2477490