Data processing method and system for intelligent power grid

Abstract

The invention discloses a data processing method and a data processing system for an intelligent power grid. The data processing method comprises the steps of: layering data information of the intelligent power grid and establishing a data mining model for communication service requirements; acquiring key indexes, which comprise dimension indexes and mining indexes, of the data mining model; and confirming an operating state of the intelligent power grid through the key indexes. The data processing method layers the data information and establishes the data mining model, can obtain the key indexes based on the data mining model, and confirms the operating state of the intelligent power grid according to the key indexes. The data processing method confirms the operating state of the intelligent power grid through layering the data information, establishing the data mining model and extracting the key indexes without processing all the data information one by one, can achieve analysis and process of mass data quickly, and realizes the processing of big data of the intelligent power grid.

Description

technical field [0001] The present invention relates to the technical field of smart grids, and more specifically, to a data processing method and system for smart grids. Background technique [0002] With the upgrading of technology and the continuous improvement of the intelligence level of my country's power grid, smart grid has been widely promoted and applied in recent years. In the smart grid, digital substation equipment has a higher degree of integration and stronger compatibility, which makes it generate a larger amount of data and higher data accuracy during operation, which puts forward higher requirements for equipment operation and maintenance. The traditional data analysis mode can no longer meet the processing requirements of massive data of digital substation equipment. [0003] Since smart substations are new things, operation and maintenance personnel lack statistical analysis methods for big data, which is very prone to time-consuming data processing and ...

AI Technical Summary

Problems solved by technology

In the smart grid, digital substation equipment has a higher degree of integration and stronger compatibility, which makes it generate a larger amount of data and higher data accuracy during operation, which puts forward higher requirements for equipment operation and maintenance. The traditional data analysis mode can no longer meet the processing requirements of massive data of digital substation equipment

[0003] Since smart substations are new things, operation and maintenance personnel lack statistical analysis methods for big data, which is very prone to time-consuming data processing and insufficient analysis in operation and maintenance work

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