Large-Scale System Analysis Under Uncertainty
With Electric Power Applications
Published on 17. February 2022
Book
Hardback
354 pages
978-1-107-19208-9 (ISBN)
Description
Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.
Reviews / Votes
'Recommended.' S. A. Curtis, ChoiceMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 24 mm
Weight
790 gr
ISBN-13
978-1-107-19208-9 (9781107192089)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Alejandro D. Dominguez-Garcia
Large-Scale System Analysis Under Uncertainty
With Electric Power Applications
E-Book
02/2022
Cambridge University Press
€68.49
Available for download
Person
Alejandro D. Domínguez-García is a Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he also holds Research Professor appointments with the Coordinated Science Laboratory and the Information Trust Institute.
Content
1. Introduction; 2. Preliminaries; 3. Static Systems: Probabilistic Input Uncertainty; 4. Static Systems: Probabilistic Structural Uncertainty; 5. Discrete-Time Systems: Probabilistic Input Uncertainty; 6. Continuous-Time Systems: Probabilistic Input Uncertainty; 7. Static Systems: Set-Theoretic Input Uncertainty; 8. Discrete-Time Systems: Set-Theoretic Input Uncertainty; 9. Continuous-Time Systems: Set-Theoretic Input Uncertainty; Appendix A. Mathematical Background; Appendix B. Power Flow Modeling.