Masters Theses
Keywords and Phrases
Recovery Strategy; Survivability Index
Abstract
"Critical infrastructure systems are increasingly reliant on cyber infrastructure that enables intelligent real-time control of physical components. This cyber infrastructure utilizes environmental and operational data to provide decision support intended to increase the efficacy and reliability of the system and facilitate mitigation of failure. Realistic imperfections, such as corrupt sensor data, software errors, or failed communication links can cause failure in a functional physical infrastructure, defying the purpose of intelligent control. As such, justifiable reliance on cyber-physical critical infrastructure is contingent on rigorous investigation of the effect of intelligent control, including modeling and simulation of failure propagation within the cyber-physical infrastructure.
To this end, this thesis investigates the reliability and survivability of a cyber-physical power grid based on the IEEE 9-bus test system. The research contributions include quantitative modeling of both non-functional attributes, based on data from N-1 contingency analysis that considers failures in physical and cyber components of the system. The resulting survivability model is utilized in determining the "importance" of each transmission line. The final research contribution is identification of optimal recovery strategies for the system, where the objective is to maintain the highest possible survivability in the course of recovery."--Abstract, page iii.
Advisor(s)
Sedigh, Sahra
Committee Member(s)
Hurson, A. R.
Choi, Minsu
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2014
Pagination
viii, 46 pages
Note about bibliography
Includes bibliographical references (pages 42-45).
Rights
© 2014 Murtadha Nabeel Albasrawi, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Smart power grids -- Mathematical models
Cyberinfrastructure
Intelligent control systems
Thesis Number
T 10432
Electronic OCLC #
882477267
Recommended Citation
Albasrawi, Murtadha Nabeel, "Quantitative modeling of reliability and survivability for cyber-physical power systems" (2014). Masters Theses. 7263.
https://scholarsmine.mst.edu/masters_theses/7263
Comments
Name appears incorrectly on title page: Albasarwi