Large-Scale System Analysis Under Uncertainty
With Electric Power Applications
Published on 2. February 2022
978-1-108-12929-9 (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
Illustrations
Worked examples or Exercises
File size
6,88 MB
ISBN-13
978-1-108-12929-9 (9781108129299)
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
Book
02/2022
Cambridge University Press
€97.80
Shipment within 15-20 days
Person
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.
