TY - GEN
T1 - A service routing reconstruction approach in cyber-physical power system based on risk balance
AU - Dong, Ouzhou
AU - Yu, Peng
AU - Liu, Huiyong
AU - Feng, Lei
AU - Li, Wenjing
AU - Chen, Fang
AU - Shi, Lei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - In cyber-physical power system (CPPS), the communication transmission links carry key services. However, some existing routing approaches cause service routes to be too centralized in the links, which leads to increase the risk of service and network. In order to reduce the risk impact of communication transmission links interruption on the service, this paper proposes a service routing reconstruction approach based on risk balance. Firstly, we analyze the risk transmission of cross-space in CPPS. Then this paper establishes a risk assessment model by characterizing the node risks with the station load pressure, expressing the link risks with the service average communication delay and the service risk balance degree. Further, the improved genetic algorithm is adopted to solve the service routing reconstruction. Finally, based on part of power grid topology from a Chinese province, the simulation results show that the proposed approach can find a route allocation scheme with lower risk value than the original Dijkstra algorithm and genetic algorithm using 'roulette wheel' selection strategy, as well as ensuring the stable operation of the power system.
AB - In cyber-physical power system (CPPS), the communication transmission links carry key services. However, some existing routing approaches cause service routes to be too centralized in the links, which leads to increase the risk of service and network. In order to reduce the risk impact of communication transmission links interruption on the service, this paper proposes a service routing reconstruction approach based on risk balance. Firstly, we analyze the risk transmission of cross-space in CPPS. Then this paper establishes a risk assessment model by characterizing the node risks with the station load pressure, expressing the link risks with the service average communication delay and the service risk balance degree. Further, the improved genetic algorithm is adopted to solve the service routing reconstruction. Finally, based on part of power grid topology from a Chinese province, the simulation results show that the proposed approach can find a route allocation scheme with lower risk value than the original Dijkstra algorithm and genetic algorithm using 'roulette wheel' selection strategy, as well as ensuring the stable operation of the power system.
KW - Cyber-physical power system
KW - Genetic algorithm
KW - Risk balance
KW - Routing reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85050689616&partnerID=8YFLogxK
U2 - 10.1109/NOMS.2018.8406294
DO - 10.1109/NOMS.2018.8406294
M3 - Conference contribution
AN - SCOPUS:85050689616
T3 - IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018
SP - 1
EP - 6
BT - IEEE/IFIP Network Operations and Management Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018
Y2 - 23 April 2018 through 27 April 2018
ER -