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Inter-area Oscillations in Power Systems

A Nonlinear and Nonstationary Perspective

  • Book
  • © 2009

Overview

Editors:
  1. Arturo Roman Messina
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  • Covers spatio-temporal behavior of large interconnected systems, one of the fastest-growing disciplines of applicable signal processing and time series analysis theory
  • Includes applications where these techniques are used to extract temporal modal information on an on-line basis or for real-time control of system behavior
  • Reflects the collected research of some of the world’s leading research on the subject of nonlinear and non-stationary power system analysis

Part of the book series: Power Electronics and Power Systems (PEPS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Signal Processing Methods for Estimating Small-Signal Dynamic Properties from Measured Responses

    • Daniel Trudnowski, John Pierre
    Pages 1-36

  3. Enhancements to the Hilbert–Huang Transform for Application to Power System Oscillations

    • Nilanjan Senroy
    Pages 37-61

  4. Variants of Hilbert–Huang Transform with Applications to Power Systems’ Oscillatory Dynamics

    • Dina Shona Laila, Arturo Roman Messina, Bikash Chandra Pal
    Pages 63-100

  5. Practical Application of Hilbert Transform Techniques in Identifying Inter-area Oscillations

    • T. J. Browne, V. Vittal, G.T. Heydt, Arturo Roman Messina
    Pages 101-125

  6. A Real-Time Wide-Area Controller for Mitigating Small-Signal Instability

    • Jaime Quintero, Vaithianathan Mani Venkatasubramanian
    Pages 127-157

  7. Complex Empirical Orthogonal Function Analysis of Power System Oscillatory Dynamics

    • P. Esquivel, E. Barocio, M.A. Andrade, F. Lezama
    Pages 159-187

  8. Detection and Estimation of Nonstationary Power Transients

    • Gerard Ledwich, Ed Palmer, Arindam Ghosh
    Pages 189-229

  9. Advanced Monitoring and Control Approaches for Enhancing Power System Security

    • Sergio Bruno, Michele De Benedictis, Massimo La Scala
    Pages 231-260

  10. Back Matter

    Pages 261-267
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Keywords

About this book

The study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes operating on various temporal scales that can become dynamically involved. An understanding of system dynamics is critical for reliable inference of the underlying mechanisms in the observed oscillations and is needed for the development of effective wide-area measurement and control systems, and for improved operational reliability.

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