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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework. A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book.
A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied.
Other Special Features:
This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.
Authors and Affiliations
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Indian Institute of Technology Bombay, India
S. A. Soman, S. A. Khaparde
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Sardar Patel College of Engineering, India
Shubha Pandit
Bibliographic Information
Book Title: Computational Methods for Large Sparse Power Systems Analysis
Book Subtitle: An Object Oriented Approach
Authors: S. A. Soman, S. A. Khaparde, Shubha Pandit
Series Title: Power Electronics and Power Systems
DOI: https://doi.org/10.1007/978-1-4615-0823-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Softcover ISBN: 978-1-4613-5256-3Published: 19 April 2013
eBook ISBN: 978-1-4615-0823-6Published: 06 December 2012
Series ISSN: 2196-3185
Series E-ISSN: 2196-3193
Edition Number: 1
Number of Pages: XX, 335
Topics: Electrical Engineering, Energy Policy, Economics and Management, Energy Policy, Economics and Management