
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
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 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.
- French Institute for Research in Computer Science and Automation France
- Royal Institute of Technology Sweden
- Laboratoire Ampère France
- École Centrale de Lyon France
- Laboratoire Ampère France
prediction error, signal selection, PMU placement, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Mode estimation, [ SPI.AUTO ] Engineering Sciences [physics]/Automatic, mode meter
prediction error, signal selection, PMU placement, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Mode estimation, [ SPI.AUTO ] Engineering Sciences [physics]/Automatic, mode meter
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).13 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
