Computational methods for electric power systems

Computational methods for electric power systems

by Crow, Mariesa

Type Book
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"Computational Methods for Electric Power Systems, Second Edition is an introductory overview of computational methods used for analytical studies in power systems and other engineering and scientific fields. As power systems increasingly operate under stressed conditions, techniques such as computer simulation remain integral to control and security assessment. This volume analyzes the algorithms used in commercial analysis packages and presents salient examples of their implementation that ar…

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Title Statements

  • Full title :Computational methods for electric power systems / Mariesa L. Crow.

Summary

"Computational Methods for Electric Power Systems, Second Edition is an introductory overview of computational methods used for analytical studies in power systems and other engineering and scientific fields. As power systems increasingly operate under stressed conditions, techniques such as computer simulation remain integral to control and security assessment. This volume analyzes the algorithms used in commercial analysis packages and presents salient examples of their implementation that are simple and thorough enough to be reproduced easily. Most of the examples were produced using MATLAB language.

New chapters include: Generalized Minimal Residual (GMRES) methods; Numerical differentiation; Secant method; Homotopy and continuation methods; Power method for computing dominant eigenvalues; Singular-value decomposition and pseudoinverses and Matrix pencil method."--pub. desc.

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Edition Statements

  • Publication Date:©2010.
  • Edition:2nd ed

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:©2010.

The Physical Object

  • Description:291 pages : : illustrations ; : 25 cm.

Edition Identifiers

  • ISBN:9781420086607, 142008660X
  • oclc:ocn226357454
  • LC Classification:TK1005
  • Dewey Decimal:333.793/2

Table of Contents

The solution of linear systems -- Systems of nonlinear equations -- Sparse matrix solution techniques -- Numerical integration -- Optimization -- Eigenvalue problems.

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Subjects

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