Computational Methods for Electric Power Systems, Third Edition (Electric Power Engineering Series)

Mariesa L. Crow

ISBN 10: 1498711596 / ISBN 13: 9781498711593

Verlag: CRC Press 2015-11-24, 2015

Beschreibung

Bestandsnummer des Verkäufers 6666-TNFPD-9781498711593

Bibliografische Details

• Titel: Computational Methods for Electric Power Systems, Third Edition (Electric Power Engineering Series)
• Verlag: CRC Press 2015-11-24
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 1498711596
• ISBN-13: 9781498711593
• Einband: Hardcover
• Auflage: 3. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Mariesa L. Crow is a professor of electrical engineering at the Missouri University of Science and Technology, Rolla, USA. Dr. Crow 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.