Abstract
The application of advanced signal processing techniques to power system measurement data for the
estimation of dynamic properties has been a research subject for over two decades. Several techniques have
been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies
have been 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 paper we illustrate
the practical application of some ambient analysis methods for electromechanicalmode estimation in different
power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of
several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating
Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR)
data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of
different power systems, regardless of their specific dynamic characteristics. The discussions and results in this
paper 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.
Original language | English |
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Journal | European Transactions on Electrical Power |
Volume | 21 |
Pages (from-to) | 1640-1656 |
ISSN | 1430-144X |
DOIs | |
Publication status | Published - 2011 |
Keywords
- Application of signal processing techniques
- Power system oscillations
- Small-signal stability
- Power system monitoring
- Power system measurements
- Power system identification
- Power system parameter estimation
- Synchronized phasor measurements