Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

Multi-dimensional Benefit Evaluation of Wind-Solar-Storage Integration Based on Game Theory Combination Weighting

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350189,
        author={Weinan  Xu and Xiu  Ji and Chengxiang  Lu and Xiao  Yang and Chang  Liu},
        title={Multi-dimensional Benefit Evaluation of Wind-Solar-Storage Integration Based on Game Theory Combination Weighting},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={game theory combinatorial empowerment; ahp; entropy weight method},
        doi={10.4108/eai.24-5-2024.2350189}
    }
    
  • Weinan Xu
    Xiu Ji
    Chengxiang Lu
    Xiao Yang
    Chang Liu
    Year: 2024
    Multi-dimensional Benefit Evaluation of Wind-Solar-Storage Integration Based on Game Theory Combination Weighting
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350189
Weinan Xu1,*, Xiu Ji1, Chengxiang Lu1, Xiao Yang1, Chang Liu2
  • 1: Changchun University of Technology, Changchun, Jilin, China
  • 2: State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute, Jilin, China
*Contact email: xuweinan2000@163.com

Abstract

The purpose of this study is to establish a comprehensive and reasonable evaluation system, and to provide a scientific and effective weighting method for the indicators in the evaluation system. To sum up, this paper selects 9 low-carbon factors among 64 influencing factors, including energy efficiency, economy, society, low carbon and enterprise development, as evaluation indicators, and builds corresponding evaluation index system. At the same time, intuitionistic fuzzy analytic hierarchy process (AHP) is used for subjective empowerment to effectively improve the fuzziness and repeatability of evaluation empowerment. Entropy weight method gives weight objectively, so that the correlation and difference between indicators are taken into account. In addition, based on the basic idea of improving the combinatorial weights of game theory, we find the consistency or compromise between different index weights to obtain a more scientific comprehensive optimal weight distribution coefficient, which solves the limitations of traditional combinatorial weights to a certain extent.