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 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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. 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 examplesProvides up-to-date algorithms and approachesProvides a comprehensive overview of many of the algorithmic methods used in modern power systems analysisContains expanded examples, end of chapter exercises, and computer-based projects. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781041029809
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Hardcover. Condition: new. Hardcover. 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 examplesProvides up-to-date algorithms and approachesProvides a comprehensive overview of many of the algorithmic methods used in modern power systems analysisContains expanded examples, end of chapter exercises, and computer-based projects. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781041029809
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