Large-Scale System Analysis Under Uncertainty: With Electric Power Applications
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.
1140200939
Large-Scale System Analysis Under Uncertainty: With Electric Power Applications
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.
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Large-Scale System Analysis Under Uncertainty: With Electric Power Applications

Large-Scale System Analysis Under Uncertainty: With Electric Power Applications

by Alejandro D. Domínguez-García
Large-Scale System Analysis Under Uncertainty: With Electric Power Applications

Large-Scale System Analysis Under Uncertainty: With Electric Power Applications

by Alejandro D. Domínguez-García

Hardcover

$94.00 
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Overview

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.

Product Details

ISBN-13: 9781107192089
Publisher: Cambridge University Press
Publication date: 02/17/2022
Pages: 300
Product dimensions: 6.85(w) x 9.84(h) x 0.98(d)

About the Author

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.

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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