Eigenvalue Problems in Power Systems (Hardcover)

The book provides a comprehensive taxonomy of non-symmetrical eigenvalues problems as applied to power systems. The book bases all formulations on mathematical concept of "matrix pencils" (MPs) and considers both regular and singular MPs for the eigenvalue problems. Each eigenvalue problem is illustrated with a variety of examples based on electrical circuits and/or power system models and controllers and related data are provided in the appendices of the book. Numerical methods for the solution of all considered eigenvalue problems are discussed. The focus is on large scale problems and, hence, attention is dedicated to the performance and scalability of the methods. The target of the book are researchers and graduated students in Electrical & Computer Science Engineering, both taught and research Master programmes as well as PhD programmes and it Book explains eigenvalue problems applied into electrical power systems Explains numerical examples on applying the mathematical methods, into studying small signal stability problems of realistic and large electrical power systems. Includes detailed and in-depth analysis including non-linear and other advanced aspects Provides theoretical understanding and advanced numerical techniques essential for secure operation of power systems Comprehensive set of illustrative examples that support theoretical discussions

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	2021
First published:	2021
Authors:	Federico Milano • Ioannis Dassios • Muyang Liu • Georgios Tzounas
Dimensions:	234 x 156 x 28mm (L x W x T)
Format:	Hardcover
Pages:	362
ISBN-13:	978-0-367-34367-5
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
LSN:	0-367-34367-3
Barcode:	9780367343675

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