Coupled Model and Node Importance Evaluation of Electric Power Cyber-Physical Systems Considering Carbon Power Flow

Chao Yang, Heyang Sun, Tong Li, Hengji Xie (), Zhenjiang Lei, Jinliang Song, He Cai, Jiaxuan Yang, Gangjun Gong and Shuai Ren
Additional contact information
Chao Yang: Information and Communication Company, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Heyang Sun: Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Tong Li: Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Hengji Xie: Beijing Energy and Power Information Security Engineering Technology Research Center, North China Electric Power University, Changping District, Beijing 102206, China
Zhenjiang Lei: Information and Communication Company, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Jinliang Song: Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
He Cai: Beijing Energy and Power Information Security Engineering Technology Research Center, North China Electric Power University, Changping District, Beijing 102206, China
Jiaxuan Yang: Beijing Energy and Power Information Security Engineering Technology Research Center, North China Electric Power University, Changping District, Beijing 102206, China
Gangjun Gong: Beijing Energy and Power Information Security Engineering Technology Research Center, North China Electric Power University, Changping District, Beijing 102206, China
Shuai Ren: Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China

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

Abstract: To improve the distributed carbon emission optimization control capability of the smart distribution network system, thereby reducing the carbon emissions in the distribution process, it is a very important issue to comprehensively analyze the importance of the node carbon emission flow of the smart distribution network. This paper transforms the power grid into a carbon emission flow network through power flow calculations: Based on the complex network theory, it determines the coupling scale of the two networks by means of the correlation coefficient method and the correlation matrix method, and establishes a coupling network model based on the carbon emission flow network; Combining the different business characteristics of carbon emission flow and information flow, an evaluation index system considering the dual-network coupling scale is established, and a multi-indicator comprehensive evaluation method that combines the Topsis and grey relational analysis method, that can objectively evaluate indicators that contain subjective components was proposed; The obtained node importance values can be used to determine the relative key line, greater sum node importance values represent a greater carbon emission impact of the line, providing a sequential basis for the carbon reduction and restructuring of the distribution network; Taking the 3-machine 9-node system as an example, the carbon flow distribution in the corresponding network is calculated, and the comprehensive importance value of the coupling node is calculated to analyze the rationality of this method.

Keywords: distribution network; carbon emission flow network; dual-network coupling model; coupling scale; node importance value evaluation; objective empowerment method; key line (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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