Overview
- Provides methods to identify coherent machines and develop reduced order models
- Discusses a model reduction program suitable for large power systems
- Provides engineering insights in using coherency and model reduction methods
Part of the book series: Power Electronics and Power Systems (PEPS, volume 94)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
"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.
Reviews
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)Editors and Affiliations
About the editor
Joe H. Chow is at the Rensselaer Polytechnic Institute, Troy, NY USA.
Bibliographic Information
Book Title: Power System Coherency and Model Reduction
Editors: Joe H. Chow
Series Title: Power Electronics and Power Systems
DOI: https://doi.org/10.1007/978-1-4614-1803-0
Publisher: Springer New York, NY
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-1802-3Published: 01 May 2013
Softcover ISBN: 978-1-4899-9512-4Published: 12 June 2015
eBook ISBN: 978-1-4614-1803-0Published: 08 July 2014
Series ISSN: 2196-3185
Series E-ISSN: 2196-3193
Edition Number: 1
Number of Pages: XII, 300
Topics: Energy Systems, Power Electronics, Electrical Machines and Networks, Energy Systems