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

• Published in: Energies (Basel) 2022-11, Vol.15 (21), p.8223
• Main Authors: Yang, Chao, Sun, Heyang, Li, Tong, Xie, Hengji, Lei, Zhenjiang, Song, Jinliang, Cai, He, Yang, Jiaxuan, Gong, Gangjun, Ren, Shuai
• Format: Article
• Language: English
• Subjects: Air quality management; Carbon; carbon emission flow network; Communication; Communications networks; Consumption; Correlation analysis; Correlation coefficient; Correlation coefficients; coupling scale; Cyber-physical systems; distribution network; dual-network coupling model; Efficiency; Electric power; Electric power distribution; Electric power grids; Electricity distribution; Emission analysis; Emissions; Energy industry; Environmental aspects; Flow distribution; Human-machine systems; Industrial plant emissions; Information flow; Mathematical optimization; Matrix methods; Methods; node importance value evaluation; Nodes; objective empowerment method; Optimization; Power flow
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15218223

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.