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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Chao Yang & Heyang Sun & Tong Li & Hengji Xie & Zhenjiang Lei & Jinliang Song & He Cai & Jiaxuan Yang & Gangjun Gong & Shuai Ren, 2022. "Coupled Model and Node Importance Evaluation of Electric Power Cyber-Physical Systems Considering Carbon Power Flow," Energies, MDPI, vol. 15(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8223-:d:962688
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    References listed on IDEAS

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    1. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, vol. 8(9), pages 1-20, August.
    2. Apergis, Nicholas & Payne, James E., 2010. "The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states," Energy Policy, Elsevier, vol. 38(1), pages 650-655, January.
    3. Namaki, A. & Shirazi, A.H. & Raei, R. & Jafari, G.R., 2011. "Network analysis of a financial market based on genuine correlation and threshold method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3835-3841.
    4. Salum Bakar Khamis & Prof. Fuzhong Chen, 2022. "The Impact of Carbon Emission (co2) on Economic Growth: Evidence from Sub-Saharan Africa," International Journal of Science and Business, IJSAB International, vol. 15(1), pages 19-27.
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    1. Wang, Jie & Zhang, Yangyi & Li, Shunlong & Xu, Wencheng & Jin, Yao, 2024. "Directed network-based connectivity probability evaluation for urban bridges," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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