Computational Methods for Electric Power Systems

The first part of the book provides the basic concepts of linear and nonlinear computational methods. These methods are then extended to include more specialized approaches including time domain simulation, optimization, sparsity methods, and eigensystem analysis. As power systems increasingly operate under stressed conditions, computer simulation will play a large role in control and security assessment. Commercial packages routinely fail or give erroneous results when used to simulate stressed systems. Understanding the underlying numerical algorithms is imperative to correctly interpret the results of commercial packages. The first part of the book provides the basic concepts of linear and nonlinear computational methods. These methods are then extended to include more specialized approaches including time domain simulation, optimization, sparsity methods, and eigensystem analysis. Computational Methods for Electric Power Systems is an indispensable handbook for any practicing power systems engineer. Includes Instructor Resources, Solution Manuals and MATLAB® Codes for all examples Provides up-to-date algorithms and approaches Provides a comprehensive overview of many of the algorithmic methods used in modern power systems analysis Contains expanded examples, end of chapter exercises, and computer-based projects.

Pagina's: 344, Editie: 4, Hardcover, CRC Press