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COMPUTATIONAL METHODS FOR ELECTRIC POWER SYSTEMS 3E
Título:
COMPUTATIONAL METHODS FOR ELECTRIC POWER SYSTEMS 3E
Subtítulo:
Autor:
CROW, M
Editorial:
CRC PRESS
Año de edición:
2015
ISBN:
978-1-4987-1159-3
Páginas:
333
99,95 €

 

Sinopsis

Features

Contains new material on preconditioners for linear iterative methods, Broyden's method, and Jacobian-free Newton-Krylov methods
Includes additional problems and examples, as well as updated examples on sparse lower-upper (LU) factorization
Adds coverage of the eigensystem realization algorithm and the double-shift method for computing complex eigenvalues
Solutions manual, MATLAB® files, and PowerPoint presentations available with qualifying course adoption

Summary

Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power systems. The book provides the background for a number of widely used algorithms that underlie several commercial software packages, linking concepts to power system applications. By understanding the theory behind many of the algorithms, the reader can make better use of the software and make more informed decisions (e.g., choice of integration method and step size in simulation packages).

This Third Edition contains new material on preconditioners for linear iterative methods, Broyden's method, and Jacobian-free Newton-Krylov methods. It includes additional problems and examples, as well as updated examples on sparse lower-upper (LU) factorization. It also adds coverage of the eigensystem realization algorithm and the double-shift method for computing complex eigenvalues.



Table of Contents

Introduction

The Solution of Linear Systems
Gaussian Elimination
LU Factorization
Condition Numbers and Error Propagation
Stationary Iterative Methods
Conjugate Gradient Methods
Generalized Minimal Residual Algorithm
Preconditioners for Iterative Methods
Problems

Systems of Nonlinear Equations
Fixed-Point Iteration
Newton-Raphson Iteration
Quasi-Newton Methods
Continuation Methods
Power System Applications
Problems

Sparse Matrix Solution Techniques
Storage Methods
Sparse Matrix Representation
Ordering Schemes
Power System Applications
Problems

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
Problems

Optimization
Least Squares State Estimation
Linear Programming
Nonlinear Programming
Power System Applications
Problems

Eigenvalue Problems
The Power Method
The QR Algorithm
Arnoldi Methods
Singular Value Decomposition
Modal Identification
Power System Applications
Problems

References