Computational Methods for Electric Power Systems

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Opis: Computational Methods for Electric Power Systems - Mariesa Crow

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. "... presents a nonconventional approach to teach or understand power system analysis: mathematics first, then each topic is related to power system applications. ... This approach is ideal for researchers and graduate students, and can immediately lead them into the power system field. ... Algorithms, however sophisticated, are explained with clarity, along with numerical examples to help the reader get the point." -Lingling Fan, University of South Florida, Tampa, USA "... an excellent combination of topics regarding computational aspects and numerical algorithms for power system analysis, operations, and control. ... very useful for me to teach ECE530 [on analysis techniques for large-scale energy systems]." -Hao Zhu, University of Illinois, Urbana-Champaign, USA "... an excellent textbook ... for a graduate-level course in electric power engineering. ... covers a broad range of topics related to computational methods for power systems. ... contains very good problems for students' homework. I highly recommend this book for graduate teaching in electric power." -Fangxing Li, University of Tennessee, Knoxville, USAIntroduction 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


Szczegóły: Computational Methods for Electric Power Systems - Mariesa Crow

Tytuł: Computational Methods for Electric Power Systems
Autor: Mariesa Crow
Producent: Productivity Press Inc
ISBN: 9781498711593
Rok produkcji: 2015
Ilość stron: 345
Oprawa: Twarda


Recenzje: Computational Methods for Electric Power Systems - Mariesa Crow

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Computational Methods for Electric Power Systems

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. "... presents a nonconventional approach to teach or understand power system analysis: mathematics first, then each topic is related to power system applications. ... This approach is ideal for researchers and graduate students, and can immediately lead them into the power system field. ... Algorithms, however sophisticated, are explained with clarity, along with numerical examples to help the reader get the point." -Lingling Fan, University of South Florida, Tampa, USA "... an excellent combination of topics regarding computational aspects and numerical algorithms for power system analysis, operations, and control. ... very useful for me to teach ECE530 [on analysis techniques for large-scale energy systems]." -Hao Zhu, University of Illinois, Urbana-Champaign, USA "... an excellent textbook ... for a graduate-level course in electric power engineering. ... covers a broad range of topics related to computational methods for power systems. ... contains very good problems for students' homework. I highly recommend this book for graduate teaching in electric power." -Fangxing Li, University of Tennessee, Knoxville, USAIntroduction 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

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