Computational Methods for Electric Power Systems, Second Edition

Author:   Mariesa L. Crow (Missouri University of Science and Technology, Rolla, USA) ,  Leonard L. Grigsby
Publisher:   Taylor & Francis Inc
Edition:   2nd New edition
Volume:   v. 9
ISBN:  

9781420086607


Pages:   304
Publication Date:   17 August 2009
Replaced By:   9781498711593
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Computational Methods for Electric Power Systems, Second Edition


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Overview

Improve Compensation Strategies for Package Shortcomings In today's deregulated environment, the nation's electric power network is forced to operate in a manner for which it was not designed. As a result, precision system analysis is essential to predict and continually update network operating status, estimate current power flows and bus voltages, determine stability limits, and minimize costs. Computational Methods for Electric Power Systems 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(R) language. Presents General Theory Applicable to Different Systems Commercial packages routinely fail or give erroneous results when used to simulate stressed systems, and understanding their underlying numerical algorithms is imperative to correctly interpret their results. This edition paints a broad picture of the methods used in such packages but omits extraneous detail. It includes new chapters that address function approximation and finite element analysis, in addition to new sections on: Generalized Minimal Residual (GMRES) methods Numerical differentiation Secant method Homotopy and continuation methods Power method for computing dominant eigenvalues Singular-value decomposition and pseudoinverses Matrix pencil method This book will enable users to make better choices and improve their grasp of the situations in which methods may fail--instilling greater confidence in the use of commercial packages.

Full Product Details

Author:   Mariesa L. Crow (Missouri University of Science and Technology, Rolla, USA) ,  Leonard L. Grigsby
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Edition:   2nd New edition
Volume:   v. 9
Dimensions:   Width: 15.60cm , Height: 2.00cm , Length: 23.40cm
Weight:   0.544kg
ISBN:  

9781420086607


ISBN 10:   142008660
Pages:   304
Publication Date:   17 August 2009
Audience:   College/higher education ,  Undergraduate ,  Tertiary & Higher Education
Replaced By:   9781498711593
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Introduction The Solution of Linear Systems Gaussian Elimination LU Factorization Condition Numbers and Error Propagation Relaxation Methods Conjugate Gradient Methods Generalized Minimal Residual Algorithm (GMRES) Systems of Nonlinear Equations Fixed Point Iteration Newton-Raphson Iteration Continuation Methods Secant Method Numerical Differentiation Power System Applications Sparse Matrix Solution Techniques Storage Methods Sparse Matrix Representation Ordering Schemes Power System Applications Numerical Integration One-Step Methods Multistep Methods Accuracy and Error Analysis Numerical Stability Analysis Stiff Systems Step-Size Selection Differential-Algebraic Equations Power System Applications Optimization Least Squares State Estimation Linear Programming Nonlinear Programming Power System Applications Eigenvalue Problems The Power Method The QR Algorithm Arnoldi Methods Singular Value Decomposition Modal Identification Power System Applications

Reviews

This is good resource material for a graduate student preparing for a qualifying exam -- IEEE Power & Energy Magazine


Author Information

Dr. Mariesa Crow is a professor of electrical engineering at Missouri University of Science and Technology in Rolla. She 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.

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