Application of Ambient Analysis Techniques for Electromechanical Mode Estimation from Measured PMU Data in the Nordic Power System

QC 20120126. Invited White paper prepared for a Special Publication of the Task Force on Modal Identification of Electromechanical Modes, IEEE PES Society, October 2010.
For over more than two decades, the application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been an important research subject. Recently, many techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies are now being included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this study we illustrate the practical application of some ambient analysis methods for electromechanical mode estimation in Nordic power system. The discussions and results in this study are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods. Comparison with eigenanalysis results allows engineers to realize the value of ambient analysis techniques as a supportive tool for the more common eigenanalysis methods.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Annan elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
Power system oscillations
power system identification
power system parameter estimation
power system monitoring
application of signal processing techniques
synchronized phasor measurements
power system measurements
small-signal stability.

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