TY - GEN
T1 - Effects of coupling patterns on functionality and robustness of cyber-coupled power systems
AU - Liu, Dong
AU - Tse, Chi K.
AU - Zhang, Xi
PY - 2020
Y1 - 2020
N2 - The coupling pattern of a cyber-coupled power system is defined by the way power nodes and cyber nodes are connected. In this paper, we study the effect of coupling patterns on robustness and functionality of cyber-coupled power systems. In a cyber-coupled power system, the cyber nodes to be coupled with power nodes are regarded as decision-making cyber nodes that are selected using a measurement called average propagation latency. Basically, a coupling pattern is formed by ranking the node criticality of the coupled cyber and power nodes, and then connecting them by a specific sequence. We introduce a parameter, called relative coupling correlation coefficient, to quantify the coupling pattern. A lower relative coupling correlation coefficient generally indicates a lower assortativity of coupling, which leads to a degradation of the functionality of coupled systems. Preliminary results show that a coupled system of a lower relative coupling correlation coefficient has better robustness. The finding indicates that increasing coupling assortativity and improving the robustness of a coupled system, are two conflicting objectives. Thus, a multi-objective problem is formulated and the Pareto-optimal solution is derived to balance the two objectives in the optimization of coupling patterns.
AB - The coupling pattern of a cyber-coupled power system is defined by the way power nodes and cyber nodes are connected. In this paper, we study the effect of coupling patterns on robustness and functionality of cyber-coupled power systems. In a cyber-coupled power system, the cyber nodes to be coupled with power nodes are regarded as decision-making cyber nodes that are selected using a measurement called average propagation latency. Basically, a coupling pattern is formed by ranking the node criticality of the coupled cyber and power nodes, and then connecting them by a specific sequence. We introduce a parameter, called relative coupling correlation coefficient, to quantify the coupling pattern. A lower relative coupling correlation coefficient generally indicates a lower assortativity of coupling, which leads to a degradation of the functionality of coupled systems. Preliminary results show that a coupled system of a lower relative coupling correlation coefficient has better robustness. The finding indicates that increasing coupling assortativity and improving the robustness of a coupled system, are two conflicting objectives. Thus, a multi-objective problem is formulated and the Pareto-optimal solution is derived to balance the two objectives in the optimization of coupling patterns.
UR - http://www.scopus.com/inward/record.url?scp=85109315104&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85109315104&origin=recordpage
U2 - 10.1109/iscas45731.2020.9180813
DO - 10.1109/iscas45731.2020.9180813
M3 - 32_Refereed conference paper (with host publication)
SN - 9781728133201
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2020 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd IEEE International Symposium on Circuits and Systems (ISCAS 2020)
Y2 - 10 October 2020 through 21 October 2020
ER -