气候变化领域集成服务门户(CCPortal): PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks

CCPortal

DOI	10.1109/ACCESS.2024.3372414
	PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks
	Irfan, Muhammad; Eldaly, Abdelrahman B. M.; Qureshi, Rizwan; Bilal, Muhammad; Hanif, Muhammad Shehzad
发表日期	2024
ISSN	2169-3536
起始页码	12
卷号	12
英文摘要	Smart grid power networks are essential for addressing the global energy crisis and combating climate change. In the past few decades, information and communication infrastructure have greatly improved. As a result, studying the characteristics of smart grids has become important. To accurately represent the connectivity of different components in power networks, we need precise models. In this study, we introduce a new growth model called PowerX. This model is designed to capture the characteristics of real-world power networks. PowerX is a growth model that is designed to capture the characteristics of real-world power networks by incorporating both random and ordered elements. Specifically, it is designed to accurately capture power networks' degree distribution and clustering coefficient. To assess the effectiveness of PowerX, we compared it with existing growth models such as Watts Strogatz Small World model, Henneberg's model, and Modified Henneberg's model, using the US Western States Power Grid dataset consisting of 4789 nodes and 5571 edges. Our results show that PowerX precisely captures the degree distribution of the real dataset, and its clustering coefficient is close to the actual dataset, outperforming the other comparable models. In addition, we used Gephi to demonstrate the features of the Western States power grid, including identifying the most important node of the network, community structure, and the strongest and weakest nodes. This research provides valuable insights into the characteristics of power networks and demonstrates the effectiveness of PowerX in accurately modeling them. The datasets and codes are publicly available for further research at: github.com/irfan2inform/powerX.
英文关键词	Complex networks; Henneberg's model; graph modeling; power networks; power systems; smart grids
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001197749700001
来源期刊	IEEE ACCESS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301550
作者单位	City University of Hong Kong; Chinese Academy of Sciences; King Abdulaziz University
推荐引用方式 GB/T 7714	Irfan, Muhammad,Eldaly, Abdelrahman B. M.,Qureshi, Rizwan,et al. PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks[J],2024,12.
APA	Irfan, Muhammad,Eldaly, Abdelrahman B. M.,Qureshi, Rizwan,Bilal, Muhammad,&Hanif, Muhammad Shehzad.(2024).PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks.IEEE ACCESS,12.
MLA	Irfan, Muhammad,et al."PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks".IEEE ACCESS 12(2024).