Local Evolution Model of the Communication Network for Reducing Outage Risk of Power Cyber-Physical System

Yuchen Fang, Xiafei Tang (), Li Tang, Yang Chen and Weiyu Wang
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Yuchen Fang: School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China
Xiafei Tang: School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China
Li Tang: School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China
Yang Chen: School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China
Weiyu Wang: School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China

Energies, 2022, vol. 15, issue 21, 1-14

Abstract: The deep integration of power grids and communication networks is the basis for realizing the complete observability and controllability of power grids. The communication node or link is always built according to the physical nodes. This step is alternatively known as “designing with the same power tower”. However, the communication networks do not form a “one-to-one correspondence” relationship with the power physical network. The existing theory cannot be applied to guide the practical power grid planning. In this paper, a local evolution model of a communication network based on the physical power grid topology is proposed in terms of reconnection probabilities. Firstly, the construction and upgrading of information nodes and links are modeled by the reconnection probabilities. Then, the power flow entropy is employed to identify whether the power cyber-physical system (CPS) is at the self-organized state, indicating the high probability of cascading failures. In addition, on the basis of the cascading failure propagation model of the partially dependent power CPS, operation reliabilities of the power CPS are compared with different reconnection probabilities using the cumulative probability of load loss as the reliable index. In the end, a practical provincial power grid is analyzed as an example. It is shown that the ability of the power CPS to resist cascading failures can be improved by the local growth evolution model of the communication networks. The ability is greater when the probability of reconnection is p = 0.06. By updating or constructing new links, the change in power flow entropy can be effectively reduced.

Keywords: power cyber-physical system (power CPS); topology evolution model; cascading failures; interdependent networks; self-organized state (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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