A Review of Edge Computing Technology and Its Applications in Power Systems

Author:

Liang Shiyang1,Jin Shuangshuang2,Chen Yousu3

Affiliation:

1. School of Computing, Clemson University, Clemson, SC 29634, USA

2. School of Computing, Clemson University, North Charleston, SC 29634, USA

3. Pacific Northwest National Laboratory, Richland, WA 99352, USA

Abstract

Recent advancements in network-connected devices have led to a rapid increase in the deployment of smart devices and enhanced grid connectivity, resulting in a surge in data generation and expanded deployment to the edge of systems. Classic cloud computing infrastructures are increasingly challenged by the demands for large bandwidth, low latency, fast response speed, and strong security. Therefore, edge computing has emerged as a critical technology to address these challenges, gaining widespread adoption across various sectors. This paper introduces the advent and capabilities of edge computing, reviews its state-of-the-art architectural advancements, and explores its communication techniques. A comprehensive analysis of edge computing technologies is also presented. Furthermore, this paper highlights the transformative role of edge computing in various areas, particularly emphasizing its role in power systems. It summarizes edge computing applications in power systems that are oriented from the architectures, such as power system monitoring, smart meter management, data collection and analysis, resource management, etc. Additionally, the paper discusses the future opportunities of edge computing in enhancing power system applications.

Publisher

MDPI AG

Reference125 articles.

1. Gong, C., Liu, J., Zhang, Q., Chen, H., and Gong, Z. (2010, January 13–16). The Characteristics of Cloud Computing. Proceedings of the 2010 39th International Conference on Parallel Processing Workshops, San Diego, CA, USA.

2. (2024, May 27). Google and IBM Announce University Initiative to Address Internet-Scale Computing Challenges. Available online: https://sites.google.com/site/cloudcomplab/home/google-and-ibm-announce-university-initiative-to-address-internet-scale-computing-challenges-1.

3. Dillon, T., Wu, C., and Chang, E. (2010, January 20–23). Cloud Computing: Issues and Challenges. Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, WA, Australia.

4. An Overview on Edge Computing Research;Cao;IEEE Access,2020

5. (2024, May 27). The Internet of Things: How the Next Evolution of the Internet Is Changing Everything. Available online: https://www.cisco.com/c/dam/en_us/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3