Computational Methods for Electric Power Systems

Crow, Mariesa L.

ISBN 10: 1041029802 / ISBN 13: 9781041029809

Published by CRC Press (edition 4), 2026

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 1041029802-8-1

Bibliographic Details

• Title: Computational Methods for Electric Power Systems
• Publisher: CRC Press (edition 4)
• Publication Date: 2026
• Language: English
• ISBN 10: 1041029802
• ISBN 13: 9781041029809
• Binding: Hardcover
• Edition: 4.
• Condition: Very Good

About this title

Synopsis

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 MATLABŪ 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.

About the Author

Mariesa L. Crow is a professor of electrical engineering at the Missouri University of Science and Technology, Rolla, USA. Dr. Crow is director of the Energy Research and Development Center. Her areas of research include computer-aided analysis of power systems; dynamics and security analysis; voltage stability; computational algorithms for analyzing stressed, non-linear, non-continuous systems; power-electronic applications in bulk power systems (FACTS); and parameter estimation.