Back to Search Start Over

Comprehensive evaluation of 5G+ smart distribution network based on combined weighting method-cloud model.

Authors :
Xiufan Ma
Ying Wang
Zihao Liu
Xiaoyu Feng
Source :
Global Energy Interconnection. Dec2022, Vol. 5 Issue 6, p675-691. 17p.
Publication Year :
2022

Abstract

With the large-scale application of 5G technology in smart distribution networks, the operation effects of distribution networks are not clear. Herein, we propose a comprehensive evaluation model of a 5G+ smart distribution network based on the combination weighting and cloud model of the improved Fuzzy Analytic Hierarchy-Entropy Weight Method (FAHPEWM). First, we establish comprehensive evaluation indexes of a 5G+ smart distribution network from five dimensions: reliable operation, economic operation, efficient interaction, technological intelligence, and green emission reduction. Second, by introducing the principle of variance minimization, we propose a combined weighting method based on the improved FAHP-EWM to calculate the comprehensive weight, so as to reduce the defects of subjective arbitrariness and promote objectivity. Finally, a comprehensive evaluation model of 5G+ smart distribution network based on cloud model is proposed by considering the uncertainty of distribution network node information and equipment status information. The example analysis indicates that the overall operation of the 5G+ smart distribution network project is decent, and the weight value calculated by the combined weighting method is more reasonable and accurate than that calculated by the single weighting method, which verifies the effectiveness and rationality of the proposed evaluation method. Moreover, the proposed evaluation method has a certain guiding role for the large-scale application of 5G communication technology in smart distribution networks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20965117
Volume :
5
Issue :
6
Database :
Academic Search Index
Journal :
Global Energy Interconnection
Publication Type :
Academic Journal
Accession number :
161635419
Full Text :
https://doi.org/10.1016/j.gloei.2022.12.009