T/CES 220-2023 Active Group standards

T/CES 220-2023 Data Access Specification for Real-time Smart Situation Evaluation Big Data Platform of Power Grid

T/CES 220-2023 Data Access Specification for Real-time Smart Situation Evaluation Big Data Platform of Power Grid

Publish Date: 2023-10-19 Implement Date: 2023-10-20 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/CES 220-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Comprehensive Electrical Engineering
Publish Date: 2023-10-19
Implement Date: 2023-10-20

Scope

Scope: This document specifies the overall architecture, functional requirements, and technical requirements for the integration of power grid dispatch information into the big data platform. This document applies to the access standards of basic dispatch data of the big data platform, which is used for the development and application of the big data platform for real-time intelligent situation assessment of the power grid; Main technical content: The complexity of interconnected power grids poses higher requirements for their safe and stable operation and intelligent prevention and control, which necessitates the development and establishment of an online safety defense support system adapted to it. However, the huge scale of the power grid and the complex inter-node correlations, on the one hand, make it difficult to accurately model the power grid model, directly affecting the accuracy of the safety and stability assessment of the large power grid; on the other hand, the calculation time cost of simulation analysis based on the model mechanism is huge, seriously affecting the real-time nature of the safety and stability assessment of the large power grid, which poses a great challenge to the current situation assessment of the power grid. Big data technology provides a good solution to this challenge. By building a big data platform for intelligent situation assessment of the power grid, massive full-process dispatch data can be stored, and on this basis, combined with artificial intelligence methods, the parameters of the power grid model can be adjusted online, and the analysis and evaluation of normal state, expected state, and future state can be carried out online, effectively solving the problems of inaccurate power grid model and high complexity of analysis and evaluation, and playing an important role in improving the accuracy and timeliness of safety and stability assessment. It can be seen that the big data platform provides a reliable data foundation f

Development Information

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