GIS-based power equipment distributed multistage intelligent fault diagnosis system

Abstract

The invention discloses a GIS-based power equipment distributed multistage intelligent fault diagnosis system, which comprises an information acquisition module for collecting the macroscopic operation characteristics and the insulation operation characteristics of the power equipment through an SCADA and insulation online monitoring system; an initial diagnosis analysis module which is used for searching the equipment abnormal variable X from a real-time database and then carrying out preliminary diagnosis by utilizing an intelligent fault diagnosis model to obtain a preliminary diagnosis result; a comprehensive diagnosis and analysis module which is used for searching the detected information of other equipment related to the abnormal variable X, and then performing comprehensive diagnosis by utilizing an expert system in combination with the preliminary diagnosis result; and a diagnosis result display module which is used for displaying the fault information in a power distributionnetwork GIS in real time and sending out an alarm signal. According to the system, the real-time state data of the power system can be effectively utilized, according to the steps of determining the node closest to the fault, determining whether the fault is the single-line grounding fault and determining the fault line, the detection and positioning of the single-line grounding fault line are realized, and the safe operation of the system is facilitated.

Description

Technical field [0001] The invention relates to a GIS-based distributed multi-level intelligent fault diagnosis system for power equipment. Background technique [0002] With the continuous expansion of the power grid, the equipment is also increasing, and its advanced level is also constantly improving. Higher requirements are put forward for the diagnostic efficiency, real-time performance and reliability of power equipment. Aiming at the fault diagnosis problem of complex power system, it is difficult to adapt to the development trend of power system by adopting the traditional centralized and single fault diagnosis method. When the protection device and the open circuit device cannot work normally, or there are multiple faults, it is difficult to guarantee the accuracy and speed of fault diagnosis. Using the protection and fault circuit information provided by the data acquisition and monitoring control system (SCADA), you can quickly determine the faulty components in the ...

AI Technical Summary

Problems solved by technology

[0004] Traditional SCADA has some limitations, it cannot effectively process a large amount of measurement information acquired by the system, it cannot diagnose faulty equipment in time, it cannot provide alarm information in GIS, and it cannot formulate service methods and strategies

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