Research on the application of digital twin technology for intelligent substations
As the core hub of the power grid system, substations undertake the key task of digital transformation of the power grid. The application of digital twin technology in intelligent substations was explored deeply to improve the efficiency of substation operation and maintenance management and equipme...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
Beijing Xintong Media Co., Ltd
2025-06-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025145/ |
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| Summary: | As the core hub of the power grid system, substations undertake the key task of digital transformation of the power grid. The application of digital twin technology in intelligent substations was explored deeply to improve the efficiency of substation operation and maintenance management and equipment fault diagnosis capabilities. Firstly, the basic concepts and application characteristics of digital twin technology were introduced, and the key business requirements for the application of digital twin technology in substations were analyzed. Secondly, the basic architecture of the digital twin model of the substation was built, and the constituent elements of each level of the model were described. The basic data collected from the substation was pre-processed through a data filtering mechanism, and the 3D modeling of the substation was carried out based on the ground model cluster algorithm. The experimental results show that the proposed method significantly improves the accuracy of 3D modeling in substation business scenarios and enhances modeling efficiency. Meanwhile, the constructed model has demonstrated high reliability in equipment fault diagnosis. The application of digital twin technology in substations can effectively enhance the intelligence level of substations and provide strong support for the digital transformation of the power grid. |
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| ISSN: | 1000-0801 |