Self-disciplined and decentralized plug-and-play data platform and management method and application

Abstract

The invention provide a self-regulation dispersive plug-and-play electric power data management platform which comprises a metadata layer, an input layer, a processing layer, an output layer and a management layer, wherein the design of a platform frame is based on a conception of dispersive self-regulation; the platform frame has typical dispersive self-regulation characteristics of on-line expansibility, fault tolerance and on-line maintainability and the like; a plug-and-play function of a module is achieved based on an open service gateway initiative (OSGI) technical specification; the data management platform has the advantages of being highly modularized, good in dynamic nature and expandability and the like; management modules of each layer are mutually matched with plug-in modules to achieve dynamic management of resources, examples and parameters of the plug-in modules inside each layer; the data management platform can be used as a middlewarer platform which supplies an electric power heterogeneous data source and application function mutual decoupling for electric power application integration. According to the self-regulation dispersive plug-and-play data platform, a management method and an application, decoupling of data processing and application functions is achieved in terms of a framework system, so that effects of data difference on realization of the application functions can be as little as possible, difficulty of the application integration is reduced, and workload is reduced.

Description

technical field [0001] The invention belongs to the field of power system data management, and in particular relates to an autonomous and decentralized plug-and-play data platform, a management method and an application. Background technique [0002] With the improvement of power automation level, various power application software plays an important role in the operation and control of power system. However, at present, the data models used by various applications are different from each other. When transplanting and integrating application functions, the differences in these data models will greatly increase the integration difficulty and workload, thereby reducing the reusability of power software. [0003] Although the industry is currently promoting a common data model to standardize the data models used by different power applications, the formulation and implementation of standards is a gradual process, and it is impossible to unify the data models of all application ...

AI Technical Summary

Problems solved by technology

However, at present, the data models used by various applications are different from each other. When transplanting and integrating application functions, the differences in these data models will greatly increase the integration difficulty and workload, thereby reducing the reusability of power software.

[0003] Although the industry is currently promoting a common data model to standardize the data models used by different power applications, the formulation and implementation of standards is a gradual process, and it is impossible to unify the data models of all application software in a short period of time, and the existing The workload of standardizing the power data model cannot be ignored. Therefore, it is still difficult to solve the problem of power application integration only by standardizing the data model.

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