Digital implementation method and research on thermal life loss of power transformers

Author:

Dongxue Li1,Yan Liu1,Jialin Jiang2ORCID,Yongteng Jing2,Zhonghua Lv1,Guolong Chen1,Ran Liu1

Affiliation:

1. Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd. Shenyang China

2. Research Institute of Transmission and Transformation Technology Shenyang University of Technology Shenyang China

Abstract

AbstractThe report of the 20th National Congress of the Communist Party of China pointed out that it is necessary to accelerate the construction of digital China, and actively develop equipment intelligence, digitalization, and high‐end equipment manufacturing. With the construction of a new round of digital China, the safety of digital technology and high‐end equipment is particularly important for power grid. Transformer is an important link of power grid operation. The destructive thermal failure of transformer has become a hot research issue in the power industry. At the same time, there are more and more power electronic equipment in the power grid, which makes the regulation and control more and more complicated. Taking a 1000 kVA oil‐immersed transformer as an example, the magnetic, current, and thermal multi field coupling numerical analysis method is first used to simulate and analyse the operation status of the transformer. By comparing the simulation results with the monitoring data results, the error of the results is controlled within 5%. Finally, the multi‐state characteristic parameters of the transformer are monitored through sensors, and the numerical simulation analysis results are integrated with the state monitoring results to build a transformer thermal life loss assessment system. The method in this paper can evaluate and analyse the running state of transformer in real time, which is of great significance for the power company to formulate the treatment measures.

Publisher

Institution of Engineering and Technology (IET)

Reference18 articles.

1. Opportunities and challenges of the digital twin in power system applications;Xing H.;Power Syst. Technol.,2020

2. On Particle Filtering for Power Transformer Remaining Useful Life Estimation

3. Function, form and planning system of novel power distribution system with “double‐carbon” goal;Zhang X.D.;Proc. CSU‐EPSA,2022

4. Framework design and application prospect for digital twins system of energy Internet;Pu T.;Proceedings of the CSEE,2021

5. Typical application and prospect of digital twin technology in power grid operation;Xiang C.;High Voltage Technology,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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