‘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 Content
Introduction.- Coherency in Power Systems.- Slow Coherency and Aggregation.- Excitation System Aggregation.- A Hybrid Dynamic Equivalent using ANN-based Boundary Matching 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.- Interarea Mode Analysis for Large Power Systems using Synchrophasor Data.
About the author
Joe H. Chow is at the Rensselaer Polytechnic Institute, Troy, NY USA.
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