Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Research on the Development Input Allocation Model of Power Companies to Integrate Investment Demand and Investment Capacity

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334228,
        author={Jiayuan  Li and Chenjun  Sun and Jing  Wang and Linxiao  Dong},
        title={Research on the Development Input Allocation Model of Power Companies to Integrate Investment Demand and Investment Capacity},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={investment allocation; investment scale; investment capacity},
        doi={10.4108/eai.26-5-2023.2334228}
    }
    
  • Jiayuan Li
    Chenjun Sun
    Jing Wang
    Linxiao Dong
    Year: 2023
    Research on the Development Input Allocation Model of Power Companies to Integrate Investment Demand and Investment Capacity
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334228
Jiayuan Li1, Chenjun Sun2, Jing Wang2, Linxiao Dong1,*
  • 1: University of Chinese Academy of Sciences
  • 2: State Grid Hebei Information & Telecommunication Branch
*Contact email: donglinxiao20@mails.ucas.ac.cn

Abstract

Nowadays, the national economy is developing rapidly and the customers' electricity demand is rising year by year. How to optimize the investment scale of electric power enterprises with the available resources and enhance the economy of power grid business and the reasonableness of investment allocation is an urgent problem to be solved. The article uses mathematical programming methods to allocate the total investment capacity of the electric power enterprise company to its corresponding subsidiaries based on the historical data of the electric power enterprise, then constructs a mathematical model for the development input allocation of each subsidiary of the electric power enterprise. The validity of the proposed model is verified by taking five subsidiaries of electric power enterprises as examples, which provides an effective reference for electric power enterprises to make reasonable investment allocation to achieve the purpose of improving quality and increasing efficiency.