Research on the performance evaluation model of intelligent distribution network from the perspective of low-carbon development

With the increasing global attention to environmental sustainability and low-carbon development, the smart distribution network not only improves the efficiency and reliability of the power system, but also promotes the low-carbon and sustainable use of energy. In this paper, we propose a joint analysis method of TOPSIS + gray correlation degree based on combination empowerment, and construct a comprehensive evaluation system for the performance of intelligent distribution network. First of all, the weight is determined by the entropy weight method and the hierarchical analysis method to achieve a comprehensive evaluation of the benefits of all aspects of the intelligent distribution network. Then, based on the grey correlation degree analysis improved by TOPSIS, the sample data were analyzed and then the evaluation results were obtained, which verified the high rationality and effectiveness.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775677
Primary Topic
Power Systems and Technologies
Type
article
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Research on the performance evaluation model of intelligent distribution network from the perspective of low-carbon development

Rongbin Ye, Chong Gao, Xue Bai, Wenxin Wang et al.
Power Systems and Technologies
article

Research on the performance evaluation model of intelligent distribution network from the perspective of low-carbon development

Rongbin Ye, Chong Gao, Xue Bai, Wenxin Wang, Fanxing Guo, Yuqi Zhang
article en

Abstract

With the increasing global attention to environmental sustainability and low-carbon development, the smart distribution network not only improves the efficiency and reliability of the power system, but also promotes the low-carbon and sustainable use of energy. In this paper, we propose a joint analysis method of TOPSIS + gray correlation degree based on combination empowerment, and construct a comprehensive evaluation system for the performance of intelligent distribution network. First of all, the weight is determined by the entropy weight method and the hierarchical analysis method to achieve a comprehensive evaluation of the benefits of all aspects of the intelligent distribution network. Then, based on the grey correlation degree analysis improved by TOPSIS, the sample data were analyzed and then the evaluation results were obtained, which verified the high rationality and effectiveness.

North China Electric Power University (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 80%
Power Systems and Technologies
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