Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on the Distribution of Balance Level Confidence Intervals for Distribution Network Engineering Samples based on Improved TOPSIS Method

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342722,
        author={Mengxiao  Yi and Yaqing  Yang and Zhen  Jiao and Jianfeng  Wen},
        title={Research on the Distribution of Balance Level Confidence Intervals for Distribution Network Engineering Samples based on Improved TOPSIS Method},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={distribution network engineering; improved topsis method; advance and retreat optimization strategy; balance level confidence interval; cost control},
        doi={10.4108/eai.17-11-2023.2342722}
    }
    
  • Mengxiao Yi
    Yaqing Yang
    Zhen Jiao
    Jianfeng Wen
    Year: 2024
    Research on the Distribution of Balance Level Confidence Intervals for Distribution Network Engineering Samples based on Improved TOPSIS Method
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342722
Mengxiao Yi1,*, Yaqing Yang1, Zhen Jiao1, Jianfeng Wen1
  • 1: Beijing Electric Power Company
*Contact email: ymx6180@163.com

Abstract

With the rapid development of China’s economy, the proportion of distribution network projects with voltage levels below 35KV in the whole power grid system is gradually increasing. Its construction, transformation and upgrading are also being continuously promoted. In order to meet the cost management needs of the distribution network project, this paper constructs a confidence interval measurement model of the balance level based on the improved TOPSIS method and the advance and retreat optimization strategy, and measures the project balance rate. To verify the validity and reasonableness of the model, this paper extracts the distribution network project samples of voltage levels below 35KV for case analysis.This paper can provide theoretical support for scientifically determining the control objectives of the distribution network project cost.