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.
Author(s): Alejandro D. Domínguez-García
Publisher: Cambridge University Press
Year: 2022
Language: English
Pages: 354
City: Cambridge
00.0
01.0_pp_i_iv_Frontmatter
02.0_pp_v_vi_Dedication
03.0_pp_vii_x_Contents
04.0_pp_xi_xii_Preface_and_Acknowledgments
05.0_pp_xiii_xvi_Notation
06.0_pp_1_15_Introduction
07.0_pp_16_53_Preliminaries
08.0_pp_54_90_Static_Systems_Probabilistic_Input_Uncertainty
09.0_pp_91_129_Static_Systems_Probabilistic_Structural_Uncertainty
10.0_pp_130_165_Discrete-Time_Systems_Probabilistic_Input_Uncertainty
11.0_pp_166_201_Continuous-Time_Systems_Probabilistic_Input_Uncertainty
12.0_pp_202_236_Static_Systems_Set-Theoretic_Input_Uncertainty
13.0_pp_237_272_Discrete-Time_Systems_Set-Theoretic_Input_Uncertainty
14.0_pp_273_306_Continuous-Time_Systems_Set-Theoretic_Input_Uncertainty
15.0_pp_307_319_Mathematical_Background
16.0_pp_320_329_Power_Flow_Modeling
17.0_pp_330_333_References
18.0_pp_334_338_Index
