Transformer Short Circuit Detection Methods and Improvement of Anti-short Circuit Ability Based on Digital Twin Technology: A Survey-Reference-Cited by-同舟云学术

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Transformer Short Circuit Detection Methods and Improvement of Anti-short Circuit Ability Based on Digital Twin Technology: A Survey

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)
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Author:

Zou Dexu¹,Gu Yuanzhe²,Peng Qingjun¹,Shi Yong³,Wang Shan¹,Dai Weijiu¹,Hong Zhihu¹,Quan Hao²

Affiliation:

1. Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd.,Kunming,China

2. School of Automation, Nanjing University of Science and Technology,Nanjing,China

3. China Southern Power Grid Yunnan Power Grid Co., Ltd.,Kunming,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970567/9970555/09970624.pdf?arnumber=9970624

Reference44 articles.

1. Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2. Research on Measurement of Transformer Short-Circuit Force Using Piezoelectric Thin Film Polyvinylidene Fluoride Sensor

3. Real-Time Evaluation System of Transformer Winding Short-Circuit Withstand Capability Based on Symplectic Geometry Mode Decomposition and Extreme Learning Machine

4. Transformer Winding Deformation Analysis Based on Short-circuit Reactance and. Vibration Signal Analysis;xu;High Voltage Engineering,2017

Cited by 1 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

1. Digital Twin Technology for State Monitoring of Power Transformers Based on Supercomputing Platforms;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15

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