The Digital System Architecture for Multi-Level Collaborative Monitoring and Analysis of Converter Station Main Equipment
The existing converter station monitoring and analysis system faces issues such as low data aggregation efficiency and difficulty in application iteration and upgrading. Therefore, a multi-level collaborative converter station main equipment monitoring and analysis digital system architecture is studied. Firstly, based on the business requirements of converter station equipment monitoring and analysis, real-time and non-real-time business applications are proposed, along with the demand for full integration of data. Secondly, a three-level collaborative converter station equipment information system architecture for headquarters, provincial companies, and converter stations is constructed. The application architecture for monitoring, analysis, and model training at each level is planned, along with a data architecture covering full data collection, unified data model integration, and cross-domain data interaction. Lastly, a digital technical architecture for equipment monitoring and analysis is proposed, including multi-level collaborative application training and sharing, holographic data collection based on multiple aggregation nodes, data correlation and model mapping, and cross-level data interaction technology. Based on the above digital system architecture, the data matching of equipment ledger, status, inspection, experiment, and process multi-business flow data is achieved. Transparent data interaction between on-site business applications and model exchange among headquarters, provincial companies, and converter stations at multiple levels is also realized.
Authors
- Ling Zhang (ORCID: https://orcid.org/0000-0003-2468-864X)
- Shusheng Zheng (ORCID: https://orcid.org/0000-0001-7884-9934)
- Siyuan Liu (ORCID: https://orcid.org/0000-0001-7810-4393)
- Qing Wang (ORCID: https://orcid.org/0000-0003-4318-7867)
Institutions
- North China Electric Power University (CN)
- State Grid Corporation of China (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sgei63936.2024.10914109
- Citations
- 1
- Primary Topic
- Electric Power Systems and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.21