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"Coherency and Model Reduction of Large Power Systems" provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method.
Both linear and nonlinear analysis methods will be covered. The ideas in this book will also be important for designing damping control of interarea modes. Small system examples to illustrate the concepts and large power system examples to illustrate practical applications of the method will also be included. This will be an important reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.
Inhaltsverzeichnis
Introduction.- Coherency in Power Systems.- Slow Coherency and Aggregation.- Excitation System Aggregation.- A Hybrid Dynamic Equivalent using ANN-based BoundaryMatching Technique.- Krylov Subspace and Balanced Truncation Methods for Power System Model Reduction.- Reduction of Large Power System Models: A Case Study.- Measurement-based Methods for Model Reduction of Power Systems using Synchrophasors.- Selective Modal Analysis.- InterareaMode Analysis for Large Power Systems using Synchrophasor Data.
Über den Autor / die Autorin
Joe H. Chow is at the Rensselaer Polytechnic Institute, Troy, NY USA.
Zusammenfassung
"Power System Coherency and Model Reduction" provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.
Zusatztext
From the reviews:
“I enjoyed reading this monograph and would highly recommend it. It is an excellent reference providing an overview of power system coherency, model reduction, and related problems by integrating analytical bases, engineering practices, emerging techniques, and insights, which would benefit both engineers and researchers in the fields of power system dynamics. ” (Kai Sun, IEEE power & energy magazine, January-February, 2014)
Bericht
From the reviews:
"I enjoyed reading this monograph and would highly recommend it. It is an excellent reference providing an overview of power system coherency, model reduction, and related problems by integrating analytical bases, engineering practices, emerging techniques, and insights, which would benefit both engineers and researchers in the fields of power system dynamics. " (Kai Sun, IEEE power & energy magazine, January-February, 2014)
