Power distribution network fault diagnosis method and system based on multi-source information fusion

Abstract

The invention provides a power distribution network fault diagnosis method and system based on multi-source information fusion. The method comprises: analyzing a fault area by utilizing the operationof a fault judgment matrix; analyzing analog quantity information after the fault of a power distribution network by using a Fortescue method; generating phase selection conditions for various faults;solving a target function fusing the analog quantity information and the digital quantity information by using an optimization method based on a genetic algorithm; and constructing a visual management platform of the power distribution network by using a geographic information system to monitor the operation states of all elements of the power distribution network in real time, wherein the geographic information system of the power distribution network diagnoses fault element information through an optimization algorithm after the power distribution network breaks down. According to the invention, the faulty element in the power distribution network can be diagnosed, and the operation information and the position information of the faulty element of the power distribution network can be displayed in real time through the geographic information system, so that the fault diagnosis speed and precision of the power distribution network are improved, and great significance is provided forthe maintenance of the safety and stability of the power distribution network.

Description

technical field [0001] The present disclosure relates to the technical field of distribution network fault identification, in particular to a distribution network fault diagnosis method and system based on multi-source information fusion. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] There are many devices in the distribution network and the connection relationship is complex. After the power grid fails, the dispatch center will receive a large number of alarm signals in a short period of time. The dispatcher needs to analyze and process the massive alarm signals to determine the faulty equipment. In this case, dispatchers need to process a large number of alarm signals in a short period of time and accurately and quickly determine faulty components, so as to facilitate timely processing of faulty components, reduce the impact on the n...

AI Technical Summary

Problems solved by technology

[0004] The inventors found that among the massive alarm signals received by the dispatch center after the distribution network fails, many of them are caused by disturbances in the distribution network, and the analysis based on such alarm signals will help the fault diagnosis of the distribution network At the same time, it is difficult for the staff of the dispatching center to analyze the massive alarm signals in a short period of time, and it is impossible to quickly and accurately diagnose the faults of the distribution network.

At the same time, there are relatively few studies on the fault diagnosis of distribution network. When the distribution network fails, it often leads to long-term and large-scale failures, which has an extremely adverse impact on the safe power supply.

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