Sustainable and 5G enhanced power distribution network design considering renewable energy generation and dynamic electricity pricing

被引:1
作者
Beyene, Tsehaye Dedimas [1 ,2 ]
Tsao, Yu-Chung [1 ,2 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Artificial Intelligence Operat Management Res Ctr, Taipei, Taiwan
关键词
Sustainability; 5G; Renewable energy; Power distribution; Dynamic pricing; SYSTEM; SELECTION;
D O I
10.1007/s40974-024-00318-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Power distribution network design optimization is the principal concern for power companies. To address both environmental issues and increased energy demand, the need to obtain energy from distributed renewable energy resources is increasing. This study aims at integrating 5G with a sustainable power distribution network design. The model considers the interconnection of the power company with the distributed renewable energy resource sites and its customers. The sustainable and 5G enhanced power distribution network design model deals with the uncertainties related to power generation and customers' energy demand, while maximizing company profits. The fuzzy uncertainties associated in the model are addressed by the application of fuzzy programming approach. The model principally determines the energy generation capacity of the distributed renewable energy resource units, dynamic pricing, and the level of 5G implementation. The numerical analysis shows that the power company optimizes its gains, and it earns a profit of $1.6E + 07 with an implementation of 0.6315G investment level. This result points out that power generation companies and electricity utility service providers need to consider implementing 5G preference to enhance the internet of things in the energy system.
引用
收藏
页码:404 / 418
页数:15
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