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Power System Coherency and Model Reduction

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Beschreibung

"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...

Beschreibung

"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.

Rezension

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)

Portrait


Joe H. Chow is at the Rensselaer Polytechnic Institute, Troy, NY USA. 

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.05.2013

Abbildungen

XII, 300 p.

Herausgeber Joe H. Chow

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.05.2013

Abbildungen

XII, 300 p.

Herausgeber Joe H. Chow
Verlag Springer Us
Seitenzahl

300

Maße (L/B/H)

24,1/16/2 cm

Gewicht

583 g

Sprache

Englisch

ISBN

978-1-4614-1802-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Power System Coherency and Model Reduction
  • Produktbild: Power System Coherency and Model Reduction

  • 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.