TY - JOUR
T1 - Tradeoff between Robustness and Functionality in Cyber-Coupled Power Systems
AU - Liu, Dong
AU - Tse, Chi K.
AU - Zhang, Xi
N1 - Publisher Copyright:
© 2007-2012 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - Robustness and functionality are conflicting requirements in cyber-coupled power systems. In general, a more tightly coupled power and cyber networks provides better functionality, but may degrade the robustness against attacks or failures. The way in which the power network is coupled with the cyber network is thus crucial to the design of robust cyber-coupled power networks while maintaining sufficient functionality. In this article, we classify coupling patterns according to two node-criticality metrics of the cyber network, i.e., node degree and node betweenness, and two node-criticality metrics of the power network, i.e., node degree and node capability. We use the relative coupling correlation coefficient to quantify the coupling pattern, and show that a coupled system with a lower relative coupling correlation coefficient has better robustness. A multiobjective problem is formulated and the Pareto optimal solutions are found to generate coupling patterns that give balanced robustness and functionality. Using a realistic physical power flow model, our results reveal possible tradeoff between functionality and robustness under different choices of criticality indexes.
AB - Robustness and functionality are conflicting requirements in cyber-coupled power systems. In general, a more tightly coupled power and cyber networks provides better functionality, but may degrade the robustness against attacks or failures. The way in which the power network is coupled with the cyber network is thus crucial to the design of robust cyber-coupled power networks while maintaining sufficient functionality. In this article, we classify coupling patterns according to two node-criticality metrics of the cyber network, i.e., node degree and node betweenness, and two node-criticality metrics of the power network, i.e., node degree and node capability. We use the relative coupling correlation coefficient to quantify the coupling pattern, and show that a coupled system with a lower relative coupling correlation coefficient has better robustness. A multiobjective problem is formulated and the Pareto optimal solutions are found to generate coupling patterns that give balanced robustness and functionality. Using a realistic physical power flow model, our results reveal possible tradeoff between functionality and robustness under different choices of criticality indexes.
KW - Complex networks
KW - Cyber-physical systems (CPS)
KW - Power grids
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85099602736&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2020.3045597
DO - 10.1109/JSYST.2020.3045597
M3 - Article
AN - SCOPUS:85099602736
SN - 1932-8184
VL - 16
SP - 499
EP - 509
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
ER -