Overview
- Provides all the computational needs related to voltage stability
- Author has developed web based simulation tools based on this book which users can access to simulate test systems up to the size of 200 buses
- Includes supplementary material: sn.pub/extras
Part of the book series: Power Electronics and Power Systems (PEPS)
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Table of contents (6 chapters)
Keywords
About this book
Presenting the continuation and bifurcation-based approaches to assess power system voltage stability, this self-contained manual first provides basic definitions related to voltage stability based on IEEE/CIGRE voltage stability classification. Then the need for robust numerical techniques that are needed to address various aspects of voltage instability is articulated. It presents a tutorial introduction to the basic concepts in bifurcation theory and continuation methods. These methods lead to robust numerical techniques for voltage stability study. The book also provides details related to continuation power flow. In addition, it provides the approach to trace voltage stability boundary for changing system conditions and proposes a uniformed framework that provides computational approaches for both short-term and long-term voltage stability phenomena.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Techniques for Voltage Stability Assessment and Control
Editors: Venkataramana Ajjarapu
Series Title: Power Electronics and Power Systems
DOI: https://doi.org/10.1007/978-0-387-32935-2
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-26080-8Published: 28 December 2006
Softcover ISBN: 978-1-4419-3862-6Published: 25 November 2010
eBook ISBN: 978-0-387-32935-2Published: 27 May 2007
Series ISSN: 2196-3185
Series E-ISSN: 2196-3193
Edition Number: 1
Number of Pages: XII, 250
Topics: Circuits and Systems, Power Electronics, Electrical Machines and Networks, Energy Systems, Electrical Engineering, Computational Intelligence, Mathematical and Computational Engineering