Electric power system mass data management system and use method thereof

Abstract

The invention relates to an electric power system mass data management system and a use method thereof. The system comprises a simulation data distributed storage subsystem and a mass simulation data processing subsystem. The simulation data distributed storage subsystem stores data in a plurality of independent interconnecting devices in a dispersed manner, adopts a clustering mode and includes a metadata server master and a file server. The mass simulation data processing subsystem distributes the data onto different database servers through segmentation rules, accesses a specific database in a routing manner through routing rules and comprises a data access layer, a data management layer and a data storage layer. The method includes a simulation data distributed storage subsystem data processing method and a mass simulation data processing subsystem processing method.

Description

technical field [0001] The invention relates to a power system management method, in particular to a power system massive data management system and its usage method. Background technique [0002] The storage mode of power system simulation calculation and analysis data at the present stage is still heavily dependent on the mode of database storage data. The processing of large-scale data first involves the storage of data. Stand-alone storage cannot meet the storage requirements of large-scale data. Traditional network storage systems use centralized storage servers to store all data, and storage servers become the bottleneck of system performance, which restricts the improvement of reliability and security of storage systems and cannot meet the needs of large-scale storage applications. [0003] With the in-depth construction of power grids in some areas and the rapid expansion of structured and unstructured power grid simulation data, the original stand-alone database h...

AI Technical Summary

Problems solved by technology

Stand-alone storage cannot meet the storage requirements of large-scale data

Traditional network storage systems use centralized storage servers to store all data, and storage servers become the bottleneck of system performance, which restricts the improvement of reliability and security of storage systems and cannot meet the needs of large-scale storage applications

[0003] With the in-depth construction of power grids in some areas and the rapid expansion of structured and unstructured power grid simulation data, the original stand-alone database has been unable to meet the storage and processing needs of massive and large-scale power grid simulation data, and has gradually become the mainstay of data storage and access. bottleneck

Although the operation of large-scale cluster databases solves the problem of smooth expansion of storage to a certain extent, it also brings huge costs to applications.

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