Computational Methods in Power System Analysis

Detalles Bibliográficos
Autor Principal: Idema, Reijer
Otros autores o Colaboradores: Lahaye, Domenico J.P
Formato: Libro
Lengua:inglés
Datos de publicación: Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
Series:Atlantis Studies in Scientific Computing in Electromagnetics, 1
Temas:
Acceso en línea:http://dx.doi.org/10.2991/978-94-6239-064-5
Resumen:This book treats state-of-the-art computational methods for power flow studies and contingency analysis. In the first part the authors present the relevant computational methods and mathematical concepts. In the second part, power flow and contingency analysis are treated. Furthermore, traditional methods to solve such problems are compared to modern solvers, developed using the knowledge of the first part of the book. Finally, these solvers are analyzed both theoretically and experimentally, clearly showing the benefits of the modern approach.
Descripción Física:ix, 110 p. : il.
ISBN:9789462390645
ISSN:2352-0590 ;
DOI:10.2991/978-94-6239-064-5

MARC

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505 0 |a Introduction -- Fundamental Mathematics -- Solving Linear Systems of Equations -- Solving Nonlinear Systems of Equations -- Convergence Theory -- Power System Analysis -- Traditional Power Flow Solvers -- Newton-Krylov Power Flow Solver -- Contingency Analysis -- Numerical Experiments -- Power Flow Test Cases. 
520 |a This book treats state-of-the-art computational methods for power flow studies and contingency analysis. In the first part the authors present the relevant computational methods and mathematical concepts. In the second part, power flow and contingency analysis are treated. Furthermore, traditional methods to solve such problems are compared to modern solvers, developed using the knowledge of the first part of the book. Finally, these solvers are analyzed both theoretically and experimentally, clearly showing the benefits of the modern approach. 
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650 0 |a Power electronics.  |9 259791 
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650 2 4 |a Simulation and Modeling.  |9 259727 
650 2 4 |a Algorithm Analysis and Problem Complexity.  |9 260626 
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