Power System Coherency and Model Reduction

1. Front Matter

   Pages i-xii

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2. Introduction

   • Joe H. Chow

   Pages 1-14

3. Coherency in Power Systems

   • Robin Podmore

   Pages 15-38

4. Slow Coherency and Aggregation

   • Joe H. Chow

   Pages 39-72

5. Excitation System Aggregation

   • Joe H. Chow, Ricardo J. Galarza

   Pages 73-90

6. A Hybrid Dynamic Equivalent Using ANN-Based Boundary Matching Technique

   • Vijay Vittal, Feng Ma

   Pages 91-118

7. Krylov Subspace and Balanced Truncation Methods for Power System Model Reduction

   • Shanshan Liu, Peter W. Sauer, Dimitrios Chaniotis, M. A. Pai

   Pages 119-142

8. Reduction of Large Power System Models: A Case Study

   • Kip Morison, Lei Wang

   Pages 143-158

9. Measurement-Based Methods for Model Reduction of Power Systems Using Synchrophasors

   • Aranya Chakrabortty, J. Chow

   Pages 159-197

10. Selective Modal Analysis

    • Luis Rouco, F. L. Pagola, George C. Verghese, Ignacio J. Pérez-Arriaga

    Pages 199-258

11. Interarea Mode Analysis for Large Power Systems Using Synchrophasor Data

    • Luigi Vanfretti, Yuwa Chompoobutrgool, Joe H. Chow

    Pages 259-295

12. Back Matter

    Pages 297-300

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"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.

• Coherency in power systems
• External system reduction
• Interarea modes
• Interarea oscillations
• Krylov subspace method
• Large power systems
• Machine aggregation
• Perturbation techniques
• Selective modal analysis

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)

• , Electrical, Comp. and Systems Eng. Dept., Rensselaer Polytechnic Institute, Troy, USA

  Joe H. Chow

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

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