Electric power multi-scenario polymorphic instance management system and method

Abstract

The invention provides an electric power multi-scene multi-state instance management system and method. The system comprises a container cloud service platform, a mirroring warehouse, a deployment template unit, an issuing management unit, an event listener, a distributed cloud storage unit, an application interface unit and a distributed event sharing and status storage unit; the event listener is used for listening the operation conditions of multi-state metadata information of the distributed event and state storage unit and informing the issuing management unit to perform multi-state instance operation; and the issuing management unit informs the container cloud service platform to add or remove a multi-state instance. With the electric power multi-scene multi-state instance management system and method of the invention adopted, the rapid deployment and deletion of multi-scene multi-state instances can be realized.

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

[0006] 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 instance management, it is easy to cause confusion

[0007] 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

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