Research on transformer parameter identification method

Hongmin Ren; Xue Li; Chenggang Hao; Shuang Ji; Zhaofu Hu; Pengcheng Xu

doi:10.1117/12.3024572

13 May 2024 Research on transformer parameter identification method

Hongmin Ren, Xue Li, Chenggang Hao, Shuang Ji, Zhaofu Hu, Pengcheng Xu

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315970 (2024) https://doi.org/10.1117/12.3024572
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Transformers are the core components of power transmission, and their operating status directly affects the safety and stability of the power system. Once a power transformer malfunctions, it can lead to equipment damage or even power outage accidents, resulting in adverse social impacts and significant losses. The rapid development of smart grids and the rapid advancement of science and technology have put forward higher requirements for monitoring the status of substation equipment. Therefore, it is necessary to conduct online monitoring of the operating conditions of transformers and identify their excitation parameters through effective means to reflect internal abnormalities and faults, in order to avoid the occurrence of malignant accidents.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongmin Ren, Xue Li, Chenggang Hao, Shuang Ji, Zhaofu Hu, and Pengcheng Xu "Research on transformer parameter identification method", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315970 (13 May 2024); https://doi.org/10.1117/12.3024572

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available