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11 December 2024 Research on high-performance analysis technology of distribution network digital twin based on parallel acceleration
Junfeng Qiao, Lin Peng, Aihua Zhou, Yun Chen, Zhonghao Qian, Sen Pan, Pei Yang
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Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134450D (2024) https://doi.org/10.1117/12.3052773
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China
Abstract
The digital twin model of distribution network has been widely used in power maintenance and equipment status monitoring, but the data update speed of the digital twin model is limited by technologies such as data collection and data management, and the real-time analysis ability of the digital twin model is insufficient. In response to this issue, this paper proposes a high-performance digital twin analysis technique for distribution networks based on parallel acceleration. Analyze the application scenarios of the digital twin model in the distribution network and identify the data request characteristics of the digital twin model. Classify and identify model data resources based on the data request features in the digital twin model and construct corresponding data storage carriers based on the classification identification results. The same type of data request access only requires extracting data from a fixed data storage carrier, and various types of data call requests do not interfere with each other, thus achieving parallel data calls. Then upgrade different data storage carriers, construct corresponding memory areas for each data storage space, and improve the input and output performance of each data storage carrier. Based on this, the optimized digital twin model will be applied to the maintenance of power equipment, integrating historical and real-time data of power equipment maintenance, conducting analysis and application of power equipment maintenance, and verifying the effectiveness of the method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Junfeng Qiao, Lin Peng, Aihua Zhou, Yun Chen, Zhonghao Qian, Sen Pan, and Pei Yang "Research on high-performance analysis technology of distribution network digital twin based on parallel acceleration", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134450D (11 December 2024); https://doi.org/10.1117/12.3052773
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KEYWORDS
Data modeling
Data storage
Power grids
Instrument modeling
Data transmission
Mathematical optimization
Data analysis
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