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

Provides a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Showcases applications for real-world problems, in areas such as renewable-based power generation, and microgrids. Essential reading for academic researchers and graduate students.

List 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.

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.

Summary

Provides a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Showcases applications for real-world problems, in areas such as renewable-based power generation, and microgrids. Essential reading for academic researchers and graduate students.

Product details

• Authors: AL DOM NGUEZ-GARC A, Alejandro D. (University of Illi Dominguez-Garcia, Alejandro D. (University of Illinois Dominguez-Garcia, Alejandro D. Domínguez-García
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 30.11.2021
• EAN: 9781107192089
• ISBN: 978-1-107-19208-9
• No. of pages: 300
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > Miscellaneous; ENERGY, MATHEMATICS / Linear & Nonlinear Programming, Probability & statistics, Alternative & renewable energy sources & technology, Reliability engineering, Energy technology and engineering, Power networks, systems, stations & plants