Interval Methods for Uncertain Power System Analysis
Author | : Alfredo Vaccaro |
Publisher | : John Wiley & Sons |
Total Pages | : 148 |
Release | : 2023-07-12 |
ISBN-10 | : 9781119855064 |
ISBN-13 | : 1119855063 |
Rating | : 4/5 (063 Downloads) |
Download or read book Interval Methods for Uncertain Power System Analysis written by Alfredo Vaccaro and published by John Wiley & Sons. This book was released on 2023-07-12 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interval Methods for Uncertain Power System Analysis In Interval Methods for Uncertain Power System Analysis, accomplished engineer Dr. Alfredo Vaccaro delivers a comprehensive discussion of the mathematical foundations of range analysis and its application to solving traditional power system operation problems in the presence of strong and correlated uncertainties. The book explores highly relevant topics in the area, from interval methods for uncertainty representation and management to a variety of application examples. The author offers readers the latest methodological breakthroughs and roadmaps to implementing the mathematics discussed within, as well as best practices commonly employed across the industry. Interval Methods for Uncertain Power System Analysis includes examinations of linear and non-linear equations, as well as: A thorough introduction to reliable computing, including discussions of interval arithmetic and interval-based operators Comprehensive explorations of uncertain power flow analysis, including discussions of problem formulation and sources of uncertainty in power flow analysis In-depth examinations of uncertain optimal power flow analysis Fulsome discussions of uncertain small signal stability analysis, including treatments of how to compute eigenvalues of uncertain matrices Perfect for engineers working in power flow and optimal power flow analyses, optimization theory, and computer aided simulation, Interval Methods for Uncertain Power System Analysis will also earn a place in the libraries of researchers and graduate students studying decision making under uncertainty in power systems operation.