"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.

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

Autorentext

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

Inhalt

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.