T/GDAI 003-2024 Intelligent diagnosis technical specification for the network framework problem of medium voltage distribution network
T/GDAI 003-2024 Intelligent diagnosis technical specification for the network framework problem of medium voltage distribution network
Basic Information
Scope
Scope: This document specifies the general requirements, intelligent diagnosis architecture and functions, technical requirements, and implementation process requirements of intelligent diagnosis technology for medium-voltage distribution network grids. This document is applicable to the design, development, implementation, and maintenance of intelligent diagnosis systems for medium-voltage distribution networks (10(20,6) kV) in urban and rural areas, including but not limited to intelligent identification and handling of common issues such as line faults, equipment aging, load imbalance, and abnormal power quality. Main technical content: 1. Terminology and definitions of intelligent diagnosis technology for medium-voltage distribution network grids: Clear definitions and explanations of relevant terms are provided to facilitate the understanding and application of the standard. 2. Data processing requirements of intelligent diagnosis technology for medium-voltage distribution network grids: Specific requirements are proposed for data sources, data integration, outlier processing, missing value processing, and feature selection strategies to ensure the stability and accuracy of the technology in practical applications. 3. Classification and identification of network grid issues in intelligent diagnosis technology for medium-voltage distribution networks: The classification and identification of network grid issues are clarified from aspects such as structural issues, operational issues, faults and abnormalities, identification methods, identification processes, and identification results, ensuring the stability and accuracy of its practical application. 4. Intelligent diagnosis methods and processes in intelligent diagnosis technology for medium-voltage distribution network grids: The diagnosis methods and processes are described from aspects such as data preprocessing, feature extraction, feature preprocessing, model selection, model training, and diagnosis result