• Author: Vanfretti, Luigi

    Royal Institute of Technology

  • Author: Dosiek, Luke

    University of Wyoming, Department of Electrical and Computer Engineering

  • Author: Pierre, John W.

    University of Wyoming, Department of Electrical and Computer Engineering

  • Author: Trudnowski, Daniel

    University of Montana, Montana Tech

  • Author: Chow, Joe H.

    Rensselaer Polytechnic Institute

  • Author: Garcia-Valle, Rodrigo

    Electric Energy Systems, Department of Electrical Engineering, Technical University of Denmark

  • Author: Aliyu, Usman

    Abubakar Tafawa Balewa University, Department of Electrical Engineering

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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 languageEnglish
JournalEuropean Transactions on Electrical Power
Publication date2011
Volume21
Pages1640-1656
ISSN1430-144X
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 9

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
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