Large-Scale System Analysis Under Uncertainty
With Electric Power Applications
$84.99 ( ) USD
- Author: Alejandro D. Domínguez-García, University of Illinois, Urbana-Champaign
- Date Published: February 2022
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9781108129299
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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.
Read more- Provides back-to-back presentation of probabilistic and set-theoretic approaches to uncertainty analysis of large-scale engineered systems
- Makes the theory accessible to applied researchers and practitioners, allowing them to focus on a particular tool and class of system independently
- Provides detailed case studies drawn from electric power application problems, including renewable-based power generation, and microgrids
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‘Recommended.’ S. A. Curtis, Choice
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×Product details
- Date Published: February 2022
- format: Adobe eBook Reader
- isbn: 9781108129299
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
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.
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