Intelligent distribution network fault information statistical analysis system

Abstract

The invention relates to an intelligent distribution network fault information statistical analysis system. The intelligent distribution network fault information statistical analysis system comprises a foreground display subsystem, a background task subsystem and a database, wherein both the foreground display subsystem and the background task subsystem are connected with the database. The background task subsystem comprises a running data collection module, a line fault intelligent processing module and a line non-fault suspected detection intelligent processing module. The foreground display subsystem comprises an event processing module, an event lead-out module, a PMS event display module and an SCADA event display module. Compared with the prior art, the intelligent distribution network fault information statistical analysis system has the advantages that distribution network faults are intelligently analyzed and processed, the distribution network fault analysis efficiency is improved, and the distribution network power supply reliability and safety are improved.

Description

technical field [0001] The invention relates to a power fault information analysis technology, in particular to an intelligent statistical analysis system for distribution network fault information. Background technique [0002] The two most important aspects in the evaluation of power supply enterprises are user power supply reliability and customer satisfaction, and the factors that affect user power supply reliability are planned power outages and fault power outages. In terms of planned power outages, although the power supply companies have gradually implemented comprehensive power outages to solve the problem of frequent power outages, extensive power outage management of distribution network failures cannot provide feedback and repair faults in a timely manner. The development of an automatic identification and statistical analysis system for distribution network fault information can automatically feed back a large amount of valuable fault trip information for power ...

AI Technical Summary

Problems solved by technology

[0003] The following problems exist in the statistical analysis of traditional distribution network fault information: (1) The repetition rate of fault reporting is high

The customer service center, the district power supply company, and the local dispatcher are the three main channels for reporting distribution network faults. Since the resources of all parties have not been shared, the fault reporting and filtering function is missing, resulting in the failure to fully screen the distribution network fault information, resulting in multiple repetitions. The same fault report exposes problems such as high fault repetition rate and less effective data in the massive distribution network fault information

(2) Inefficient means of communication

Due to manual fault finding, massive distribution network fault information cannot be matched and processed in a timely manner after being sent, which makes the fault time, fault sequence, and telemetry sampling data unable to be matched and filtered in time, making fault finding the most time-consuming and accurate low rate

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