Application status and development trend of intelligent sensor technology in the electric power industry

Author:

Li Peng1,Fan Youping23,Liu Zhong1,Tian Bing1,Wang Zhiming1,Li Dongjie23,Han Zixi23,Zhang Zhaoyi23ORCID,Xiong Feng23

Affiliation:

1. Digital Grid Research Institute China Southern Power Grid Guangzhou China

2. School of Electrical Engineering and Automation Wuhan University Wuhan China

3. Institute of Next Generation Power Systems and International Standards Wuhan University Wuhan China

Abstract

AbstractWith the rapid development of digital technologies such as intelligent control and information communication, digitization has gradually become an inevitable trend to promote technology innovation and industrial upgrading for the power grid. As the basis of digital technology, digital sensing technology will gradually penetrate all aspects of the power system for comprehensive perception and high operational reliability. First, this article introduces the application status and technical requirements of power intelligent sensor technology in various aspects of the power system, including the generation, transmission, transformation, distribution, and consumption of electricity. Next, domestic and foreign scholars' latest research achievements in power sensing technology are described from three major aspects, that is, optical fiber sensing technology, MEMS sensing technology, and sensor self‐powered technology. Finally, future challenges for the electric power intelligent sensors are discussed and an outlook of future widespread application in the clean, safe, and efficient digital power grid is provided.

Publisher

Institution of Engineering and Technology (IET)

Reference111 articles.

1. Digital power grid construction based on digital twins;Huang W.;Electron. Technol. Softw. Eng.,2021

2. Li P. Xi W. Cai Y. et al.:Concept architecture and key technologies of digital power grids. Proceedings of the CSEE pp.1–17(2021)

3. Zhou Y. Zhou H. You C. et al.:Construction and application research of three‐dimensional digital power grid in Southwest China. 3rd International Conference on Environmental Science and Material Application (ESMA). Trans Tech Publications Durnten‐Zurich (2018)

4. China Southern Power Grid Co. Ltd.: Digital power grid white paper(2020)

5. Panoramic information perception and intelligent grid;Zhang N.;Proc. CSEE,2021

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