T/GDAI 002-2024 Active Group standards

T/GDAI 002-2024 Intelligent Processing Specification for Data in Medium Voltage Distribution Network

Publish Date: 2024-12-27 Implement Date: 2025-01-20 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/GDAI 002-2024

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Wind power generation systems and other energy sources

Publish Date: 2024-12-27

Implement Date: 2025-01-20

Scope

Scope: This document specifies the overall process of intelligent data processing for medium-voltage distribution networks, as well as requirements for data collection, pre-processing, analysis, application, and security. This document is applicable to intelligent applications in distribution network planning at voltage levels of 10 kV to 35 kV by power companies and planning and design units at all levels. Main technical content: - **Terms and definitions of intelligent data governance technology standards for medium-voltage distribution networks**: Clear definitions and explanations of related terms are provided to facilitate the understanding and application of the standard. - **Data governance technical requirements for medium-voltage distribution networks**: Specific requirements are set for data format, naming rules, coding standards, and database design to ensure the stability and accuracy of intelligent generation technology for distribution network planning solutions in practical applications. - **Data governance process and management for medium-voltage distribution networks**: A detailed framework describing key steps such as data preparation, requirement analysis, solution generation, optimization, evaluation, and decision-making is provided to ensure the directionality and accuracy of the planning process in practical applications. - **Data quality monitoring and evaluation for medium-voltage distribution networks**: Key information on quality control and evaluation, including data quality control, models and algorithms, technical performance assessment, and preparation of control measures, is clarified to ensure sustainability in practical applications. - **Data technical support and assurance for medium-voltage distribution networks**: Technical support and assurance for data governance are implemented in aspects such as data source management, data sharing, data backup and recovery, data cleaning, and validation. - **Data security an