Power System Coherency and Model Reduction [Hardcover]

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.

This book 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.

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. Per?ez-Arriaga

10. InterareaMode Analysis for Large Power Systems using Synchrophasor Data: Luigi Vanfretti, Yuwa Chompoobutrgool, and Joe H. Chow

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 basel#