DocumentCode
2049442
Title
A mathematic framework for analysis of complex cyber-physical power systems
Author
Kolacinski, R.M. ; Loparo, K.A.
Author_Institution
Dept. of Electr. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
8
Abstract
Developing technology and systems for future power systems requires an evolutionary approach where new “smart” grid technologies can be seamlessly integrated with the existing infrastructure and the ongoing overlay of new sensing and communication systems. As the diversity of these new technologies increases, the robust and secure operation of the grid will become dependent upon a detailed understanding of both physical and cyber components as well as their interactions. This paper focuses on the development of a mathematical framework and computational methodology that can be used to evaluate the stability and operational security of a complex cyber-physical power system in the context of stochastic hybrid dynamical systems, and proposes an approach based on embedding and symbolic dynamics that can be used to analyze complex system behaviors by encoding the system dynamics into symbol strings.
Keywords
evolutionary computation; power system security; power system stability; smart power grids; stochastic systems; communication systems; complex cyber-physical power system analysis; complex cyber-physical power system operational security; complex cyber-physical power system stability; cyber components; encoding; evolutionary approach; mathematic framework; smart grid technology; stochastic hybrid dynamical systems; symbol strings; Computational modeling; Mathematical model; Power system dynamics; Power system stability; Security; Stochastic processes; Cyber-Physical System; Distributed Renewable Energy Resources; hybrid dynamical system; power system; stability; symbolic dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6344956
Filename
6344956
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