Paper
1 June 2023 Sensing digital twin technology helps upgrade power equipment of new power system equipment
Shiling Zhang, Long Li, Baojia Deng
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126251E (2023) https://doi.org/10.1117/12.2669433
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
In the process of the construction of China's new power system, we will vigorously promote the research and development of UHV power equipment and wide application of power electronic devices. UHV power equipment has complex insulation structure and huge volume, bear impact energy load of wind power and photovoltaic of new power system for a long time. It cost lot to carry out on-site operation and maintenance tests. The digital twin technology is becoming more and more perfect, and the new power system construction is gradually introduced from automobile, aviation and other manufacturing industries. Based on this, this paper introduces the digital twin technology into highend power equipment of the new power system, and carries out the on-site operation and maintenance simulation test and functional response analysis under the high current, high voltage and multi harmonic loads according to its twin model. From four sensing dimensions of the mechanical vibration, the gas composition, the optical vision and electrical parameters, the improvement of intelligent sensing technology of new power system equipment is analyzed, and interaction between on-site operating parameters and digital twin model data is realized. On the other hand, GPU computing power expansion technology supporting the digital twin multi-source sensing technology is proposed, which can effectively support dynamic behavior simulation monitoring of equipment from 10-5 seconds to 103 seconds, and the operation life evaluation strategy of high-end equipment is proposed. This paper focuses on the 3D construction of the digital twin model of the high-end equipment of the new power system, and its research method can be extended to the construction of whole network digital twin model of the new power system. The research results can provide the theoretical guidance and technical reference for the application of digital twin technology in the high-end power equipment scenarios, and effectively support safe and stable operation of power system with "double high characteristics"
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiling Zhang, Long Li, and Baojia Deng "Sensing digital twin technology helps upgrade power equipment of new power system equipment", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126251E (1 June 2023); https://doi.org/10.1117/12.2669433
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KEYWORDS
Instrument modeling

3D modeling

Sensing systems

Vibration

Data modeling

Analytic models

Image processing

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