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