Large-Scale System Analysis Under Uncertainty - Alejandro D. Domínguez-García

Large-Scale System Analysis Under Uncertainty

With Electric Power Applications
Buch | Hardcover
300 Seiten
2022
Cambridge University Press (Verlag)
978-1-107-19208-9 (ISBN)
84,75 inkl. MwSt
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.
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.

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.

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.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 174 x 250 mm
Gewicht 770 g
Themenwelt Naturwissenschaften Physik / Astronomie
Technik Elektrotechnik / Energietechnik
ISBN-10 1-107-19208-0 / 1107192080
ISBN-13 978-1-107-19208-9 / 9781107192089
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
von den Werkzeugen über Methoden zum TQM

von Holger Brüggemann; Peik Bremer; Stefan Zischka

Buch | Softcover (2024)
Springer Fachmedien (Verlag)
32,99
Problem Solving with Python

von Rubin H. Landau; Manuel J. Páez …

Buch | Softcover (2024)
Wiley-VCH (Verlag)
109,00