Fault Diagnosis System of Distribution Network Based on Data Grid

Abstract

The invention relates to novel power distribution network fault diagnosis architecture, in particular to a power distribution network fault diagnosis system based on a data grid. A data grid technology is utilized to carry out extracting and preprocessing on information in an equipment level and provide consistent data views for a fault diagnosis program. The power distribution network fault diagnosis system not only solves the problem of communication, but also avoids excessive backlog of data at a dispatching end. The power distribution network fault diagnosis system is a distributed type fault diagnosis system in order to adapt to the grid environment. The distributed type fault diagnosis system can provide high-performance distributed calculating strategies for gradually-complicated fault diagnosis algorithms. In addition, due to the high-performance computing power, the distributed type fault diagnosis system greatly promotes the operating speed of the complex diagnosis procedures, and enables time consumption and diagnosis results to be optimal. An MAS system can select the most appropriate Agent to carry out fault diagnosis according to fault features and user requirements, and enables the diagnosis procedures to be optimal in terms of the time consumption and the diagnosis results.

Description

technical field [0001] The invention relates to a novel distribution network fault diagnosis framework, in particular to a data grid-based distribution network fault diagnosis system. Background technique [0002] As the premise that the "self-healing" of smart grid can be realized, the power system fault diagnosis method has always been a key topic of research at home and abroad. At present, relatively mature diagnosis methods, such as expert systems, optimization methods, Petri nets, etc., can diagnose faulty components more accurately in an environment where the alarm information is completely correct, including protection, switch misoperation, and refusal. Condition. However, in terms of improving the speed and accuracy of the entire fault diagnosis system, there are still the following problems to be solved: [0003] First, the communication problem. The data that the intelligent diagnosis algorithm relies on is obtained completely online. In the event of data loss, ...

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Problems solved by technology

[0004] Second, real-time issues

In addition, complex modules such as topology analysis and intelligent diagnosis algorithms are concentrated on the fault diagnosis server at the scheduling end, and the reasoning process often involves a large number of databases and knowledge bases. Meet engineering needs

[0005] Third, the selection of the best diagnostic methods

How to dynamically select the optimal method for fault diagnosis according to the characteristics of power grid faults, so as to achieve the best diagnosis speed and results, there is no good analysis method at present

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