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

2023-01-31

【论文推荐】华北电力大学麻秀范等：基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价

原创英文期刊编辑部全球能源互联网期刊 2023-01-31 08:00

摘要

针对5G技术在智能配电网规模化应用后配电网运行效果不明确问题，提出一种基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价模型。首先，本文从运行可靠、运行经济、高效交互、技术智能、绿色减排五个维度，建立5G+智能配电网综合评价指标。其次，引入方差最小化原理，提出一种基于改进FAHP-EWM的组合赋权法计算综合权重，淡化主观随意性缺陷，提高客观性。最后，综合考虑配电网节点、设备状态等信息的不确定性对评价结果的影响，提出基于云模型的5G+智能配电网综合评价模型，通过算例验证所提组合赋权-云模型的合理性和有效性。

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

基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价

Xiufan Ma¹, Ying Wang¹, Zihao Liu¹, Xiaoyu Feng¹

(1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing

102206, P.R. China)

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Comprehensive evaluation of 5G+ smart distribution network

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 (FAHP- EWM). 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.

Keywords

5G+ smart distribution network, Comprehensive evaluation, Improved FAHP, Variance minimization, Normal cloud model.

Fig.1 Comparison of communication network performance

Fig.2 Comprehensive evaluation index of the 5G+ smart distribution network

Fig.3 Cloud rating

Fig.4 Comprehensive cloud evaluation flow chart of 5G+ smart distribution network

Fig.5 Evaluation results of the standard stratus cloud in T1

Fig.6 Evaluation results of the standard stratus cloud in T2

Fig.7 Integrated cloud evaluation results in T1

Fig.8 Integrated cloud evaluation results in T2

Fig.9 Comparison of weight results of different weighting methods

本文引文信息

Ma XF, Wang Y, Liu ZH, et al. (2022) Comprehensive evaluation of 5G+ smart distribution network based on combined weighting method-cloud model. Global Energy Interconnection, 5(6): 675-691

麻秀范，王颖，刘子豪等 (2022) 基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价. 全球能源互联网（英文）, 5(6): 675-691

Biographies

Xiufan Ma

Xiufan Ma received the B.S. and M.S. degrees in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 1992 and 1995, respectively, and a Ph.D. degree in Electrical Engineering from North China Electric Power University, Beijing, China, in 2013. She is currently an Associate Professor with the School of Electrical and Electronic Engineering, North China Electric Power University. Her current major research interests include distribution network planning and operation, and electric vehicle planning and operation.

Ying Wang

Ying Wang received the B.S. degree in Electrical Engineering from North China University of Water Resources and Electric Power, Zhengzhou, China, in 2020. She is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. Her research interests include the optimal configuration of smart distribution network, 5G new smart technology, and demand response.

Zihao Liu

Zihao Liu received the B.S. degree in Electrical Engineering from North China Electric Power University, Baoding, China, in 2020. He is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. His research interests include power system scheduling, and 5G new smart technology.

Xiaoyu Feng

Xiaoyu Feng received the B.S. degree in Electrical Engineering from North China Electric Power University, Beijing, China, in 2020. She is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. Her research interests include the planning and analysis of intelligent distribution network integrating 5G network.

编辑：王彦博

审核：王伟

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

【论文推荐】华北电力大学 麻秀范等：基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价

郑重声明

【论文推荐】华北电力大学麻秀范等：基于改进FAHP-EWM的组合赋权与云模型的5G+智能配电网综合评价