Power System Simulation Using Semi-Analytical Methods

POWER SYSTEM SIMULATION USING SEMI-ANALYTICAL METHODS

Robust coverage of semi-analytical and traditional numerical methods for power system simulation

In Power System Simulation Using Semi-Analytical Methods, distinguished researcher Dr. Kai Sun delivers a comprehensive treatment of semi-analytical simulation and current semi-analytical methods for power systems. The book presents semi-analytical solutions on power system dynamics via mathematical tools, and covers parallel contingency analysis and simulations. The book offers an overview of power system simulation and contingency analysis supported by data, tables, illustrations, and case studies on realistic power systems and experiments.

Readers will find open-source code in MATLAB along with examples for key algorithms introduced in the book. You’ll also find:

• A thorough background on power system simulation, including models, numerical solution methods, and semi-analytical solution methods
• Comprehensive explorations of semi-analytical power system simulation via a variety of mathematical methods such as the Adomian decomposition, differential transformation, homotopy analysis and holomorphic embedding methods
• Practical discussions of semi-analytical simulations for realistic large-scale power grids
• Fulsome treatments of parallel power system simulation

Perfect for power engineers and applied mathematicians with an interest in high-performance simulation of power systems and other large-scale network systems, Power System Simulation Using Semi-Analytical Methods will also benefit researchers and postgraduate students studying power system engineering.

Kai Sun, PhD, is a Professor with the Department of Electrical Engineering and Computer Science at the University of Tennessee in Knoxville. He is the author of Power System Control under Cascading Failures: Understanding, Mitigation and System Restoration and has co-authored more than ten IEEE journal papers on semi-analytical methods for power system simulation.