Electric power multi-scenario multi-state data system and management method

Abstract

The invention provides an electric power multi-scene polymorphic data system and a management method. The data system comprises a data source unit, a distributed event and state storage unit, an application interface unit, a data extraction unit, an event sound monitor and a distributed cloud storage unit. The application interface unit operates polymorphic version metadata information in the distributed event and state storage unit. The distributed event and state storage unit is used for saving the polymorphic version metadata information. The event sound monitor is used for monitoring the operating condition of the polymorphic version metadata information of the distributed event and state storage unit. The data extraction unit is used for generating a polymorphic version database. The data source unit is used for storing a data source for generating the polymorphic version database. The distributed cloud storage unit is used for storing the polymorphic version database. By means of the electric power multi-scene polymorphic data system and the management method, multi-scene polymorphic data extraction and simulation application deployment can be automatically carried out.

Description

technical field [0001] The invention relates to power system automation technology, in particular to the field of power system analysis and simulation technology. Background technique [0002] The operation status of the power grid is changing rapidly, and there are high requirements for real-time performance. However, the intelligence level of the active distribution network has been low for a long time. A large part of the reason is that the emergency response capability of the system cannot meet the operation requirements, even if it only takes a few seconds. Calculation delays are enough to have a catastrophic impact on the grid production system. Therefore, the intelligent dispatching of the active distribution network often uses simulation calculations (based on the actual operation data of the power grid) to simulate various abnormal conditions of the power grid, find solutions to various abnormal conditions, and set them in the production system of the power grid in ...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, multi-scenario polymorphic data extraction and simulation application deployment are all manually implemented, with a low degree of automation and low efficiency. It usually takes a day or even several days to deploy a set of simulation applications

Due to the large amount of manual work, low efficiency, and error-prone, and because it involves a large number of polymorphic version database management, it is easy to cause confusion

[0005] In addition, in the existing technology, the sharing rate of multi-scenario polymorphic data resources is very low. A polymorphic instance often needs to monopolize a batch of servers, and after the verification is completed, the release of resources is also a big problem. Generally, manual deletion and cleaning are required. or reinstall the system

Images