A Construction Method for a Unified Information Model in the Context of Intelligent Digital Convert Stations

Digital convert stations are crucial hubs in the construction of new power systems, and the Internet of Things (IoT) perception network with the fusion terminal as its core provides essential support. To address the challenge of unifying the perception and control of multi-source heterogeneous data in digital convert stations, this paper proposes a Unified Information Model (UIM) construction method tailored for intelligent digital convert station scenarios. Based on the IEC 61850 standard, this method utilizes a layered modeling approach for digital convert station equipment and data. By parsing SCL configuration files and establishing CIM mapping relationships, a digital twin is constructed, enabling comprehensive monitoring and management of the digital convert station. Experimental results demonstrate the effectiveness of this method in integrating digital convert station data, supporting functions such as real-time monitoring, fault diagnosis, performance optimization, and predictive maintenance. This provides vital technical support for the development of intelligent digital convert stations.