Computational Methods for Electric Power Systems

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.
1101807529
Computational Methods for Electric Power Systems

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.
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Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems

by Mariesa L. Crow
Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems

by Mariesa L. Crow

eBook

$110.00 
Available for Pre-Order. This item will be released on March 3, 2026

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Overview

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.

Product Details

ISBN-13: 9781040608333
Publisher: CRC Press
Publication date: 03/03/2026
Sold by: Barnes & Noble
Format: eBook
Pages: 376

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.

Table of Contents

1 Introduction 2 The Solution of Linear Systems 3 Systems of Nonlinear Equations 4 Sparse Matrix Solution Techniques 5 Numerical Integration 6 Optimization 7 Eigensystem Analysis

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