Power grid model multi-version multi-tenant management system and method based on distributed storage

Abstract

The present invention provides a power grid model multi-version multi-tenant management system and method based on distributed storage. The method mainly comprises that a distributed file storage method is used to store and manage historical and future multi-service models of a power grid, so as to improve a storage capacity and availability of multiple versions of models; different versions of model data are stored by using an independent file set, so as to enable multiple users to build mutually isolated model storage and maintain work environments, and improve isolation and security of the multiple versions of model data; a data level segmentation method is used to carry out multi-file data level segmentation storage on a single version of model, so as to improve model data access performance; future model versions can be split and combined, so as to improve a multi-tenant collaborative modeling capability, and ensure online process management of future versions; and , historical versions of models are stored and managed according to differences between models, so that historical models can be managed, traced, and used.

Description

technical field [0001] The invention relates to the technical field of power system automation grid model management, in particular to a distributed storage-based grid model multi-version multi-tenant management system and method. Background technique [0002] With the continuous expansion of the power grid scale and the increase in complexity, many businesses not only require the dispatching control system to be able to model and analyze in advance from the future time dimensions of the year, month, and day, but also need to perform static analysis based on the power grid model in different historical periods. Recall analysis. The current smart grid dispatching control system provides good support for the realization of intelligent dispatching of the power grid. It has the ability to construct and manage real-time and historical models, but it cannot construct and manage the future and historical models of the power grid from a full-time perspective. [0003] In recent yea...

AI Technical Summary

Problems solved by technology

However, there are still deficiencies in many performances, such as the number of future model versions and storage scalability maintained by multiple tenants at the same time, data isolation and availability during the maintenance and use of future and historical version models, future model splitting, merging efficiency and Invest in online process management, as well as access methods and traceability of historical version models

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