Power system coherency and model reduction
Author(s)
Bibliographic Information
Power system coherency and model reduction
（Power electronics and power systems, v. 94）
Springer, c2013
- : pbk
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Note
"Softcover re-print of the hardcover 1st edition 2013" -- T.p verso
Includes bibliographical references and index
Description and Table of Contents
Description
"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.
Table of Contents
1. Introduction: Joe H. Chow
2. Coherency in Power Systems: Robin Podmore
3. Slow Coherency and Aggregation: Joe H. Chow
4. Excitation System Aggregation: Joe H. Chow and Ricardo J. Galarza
5. A Hybrid Dynamic Equivalent using ANN-based BoundaryMatching Technique: Vijay Vittal and Feng Ma
6. Krylov Subspace and Balanced Truncation Methods for Power System Model Reduction: Shanshan Liu, Dimitrios Chaniotis, and M. A. Pai
7. Reduction of Large Power System Models: A Case Study: Kip Morrison and Lei Wang
8. Measurement-basedMethods forModel Reduction of Power Systems using Synchrophasors: Aranya Chakrabortty and Joe H. Chow
9. Selective Modal Analysis: Luis Rouco, F. Luis Pagola, George C. Verghese, and Ignacio J. Perez-Arriaga
10. InterareaMode Analysis for Large Power Systems using Synchrophasor Data: Luigi Vanfretti, Yuwa Chompoobutrgool, and Joe H. Chow
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