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Interval Methods for Uncertain Power System Analysis - (IEEE Press Power and Energy Systems) by Alfredo Vaccaro (Hardcover)

Interval Methods for Uncertain Power System Analysis - (IEEE Press Power and Energy Systems) by  Alfredo Vaccaro (Hardcover) - 1 of 1
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Highlights

  • 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.
  • About the Author: Alfredo Vaccaro, PhD, is a Full Professor of Electric Power Systems in the Department of Engineering at the University of Sannio.
  • 144 Pages
  • Technology, Power Resources
  • Series Name: IEEE Press Power and Energy Systems

Description



About the Book



"This book explores the mathematical foundations of range analysis, and its deployment in solving traditional power system operation problems in the presence of strong and correlated uncertainties. It addresses many relevant topics ranging from interval methods for uncertainty representation and management to various application examples. This book not only focuses on methodological breakthroughs and roadmaps in implementing the mathematical methodologies, but also presents the much needed sharing of best practices. The problems currently faced by possible readers are related to the sparsity of information on this topic, scattered between many self-consistent papers. The book links the knowledge accumulated on the topic in order to serve as a quick reference for practitioners"--



Book Synopsis



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.



From the Back Cover



Explore the applications of range analysis to power systems under conditions of uncertainty

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.



About the Author



Alfredo Vaccaro, PhD, is a Full Professor of Electric Power Systems in the Department of Engineering at the University of Sannio. He is Editor-in-Chief of Technology and Economics of Smart Grids and Sustainable Energy, Springer Nature and Chair of the PES-IEEE Task Force on Enabling Paradigms for High-Performance Computing in Wide Area Monitoring Protective and Control Systems.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .38 Inches (D)
Weight: .81 Pounds
Suggested Age: 22 Years and Up
Series Title: IEEE Press Power and Energy Systems
Sub-Genre: Power Resources
Genre: Technology
Number of Pages: 144
Publisher: Wiley-IEEE Press
Theme: Electrical
Format: Hardcover
Author: Alfredo Vaccaro
Language: English
Street Date: July 25, 2023
TCIN: 94140126
UPC: 9781119855040
Item Number (DPCI): 247-41-0927
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.38 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.81 pounds
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