Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Research On Power Grid Investment Carrying Capacity Based on Debt Ratio Limitation

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322656,
        author={Yi  Gao and Guangchao  Qian and Yongli  Wang and Bo  Yuan and Hankui  Tian and Chengchong  Cai and Zhen  Liu},
        title={Research On Power Grid Investment Carrying Capacity Based on Debt Ratio Limitation},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={debt ratio limit investment carrying capacity power grid investment},
        doi={10.4108/eai.17-6-2022.2322656}
    }
    
  • Yi Gao
    Guangchao Qian
    Yongli Wang
    Bo Yuan
    Hankui Tian
    Chengchong Cai
    Zhen Liu
    Year: 2022
    Research On Power Grid Investment Carrying Capacity Based on Debt Ratio Limitation
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322656
Yi Gao1, Guangchao Qian1, Yongli Wang2, Bo Yuan2,*, Hankui Tian2, Chengchong Cai2, Zhen Liu2
  • 1: Economic and Technical Research Institute of State Grid Tianjin Electric Power Company
  • 2: North China Electric Power University
*Contact email: 120212206288@ncepu.edu.cn

Abstract

With the deepening of the energy Internet and digital revolution, new business forms and requirements such as integrated energy services, electrochemical energy storage and business environment optimization are emerging. Power grid enterprises should comprehensively consider the operation status of enterprises and the needs of emerging business development, accurately grasp the upper limit of their own investment carrying capacity, and formulate investment planning scientifically. In order to avoid the influence of excessive investment on the sustainable and stable operation of grid enterprises, this paper uses theories of technology and economics and financial management to build a model for measuring grid investment based on the limitation of asset-liability ratio. The case verification shows that, using this model, grid enterprises can evaluate their maximum investment capacity more objectively, providing a scientific basis for grid enterprises to make reasonable investment plans, and also providing a reference for other enterprises to calculate their investment capacity under the debt ratio limit.