Box-type substation intelligent online failure diagnosis system

Abstract

A box-type substation intelligent online failure diagnosis system comprises an electric parameter collection module, a non-electric-parameter collection module, a switch value collection module, a data processing module, a micro-processor module, a failure diagnosis module, a high-voltage switch cabinet failure tree, a transformer room failure tree, a low-voltage switch box failure tree, a GPRS module, a monitoring center, a data output module and a warning module. The substation intelligent online failure diagnosis system has the advantages that operation state data of a box-type substation in real time can be collected and warnings are given out if abnormal-condition data occur so that workers can predict probable failures; failure symptom data can be timely and precisely collected so that online failure diagnosis can be carried out, the failures can be timely eliminated, and failure diagnosis efficiency is improved; a failure diagnosis method based on a failure tree analysis method is adopted, searching efficiency of failure diagnosis knowledge is improved, meanwhile readability of the failure diagnosis knowledge is also improved, and maintenance of failure diagnosis procedures is facilitated.

Description

technical field [0001] The invention relates to an intelligent online fault diagnosis system for a box-type substation, which belongs to the field of intelligent monitoring and control of electric power systems. Background technique [0002] The box-type substation is a complete set of power transformation and distribution device that organically combines functions such as high-voltage power receiving, transformer step-down, and low-voltage power distribution. It adopts a microcomputer integrated automation system to realize unattended operation. However, smart box-type substations are generally installed in industrial and mining enterprises, ports, airports, urban public buildings, highways, underground facilities, and residential quarters with intensive loads; remote monitoring and system networking of smart box-type substations is required due to Its wiring construction is relatively difficult, and it is difficult to realize the general fieldbus networking method. [000...

AI Technical Summary

Problems solved by technology

At present, many methods have been proposed for power system fault diagnosis at home and abroad, mainly including: expert system, artificial neural network, Petri network, fuzzy set theory, rough set theory, etc. Among them, expert system is the most fault diagnosis method at present, but The fault diagnosis method based on the expert system cannot reflect the logical relationship between fault diagnosis knowledge in its knowledge base, and the diagnosis efficiency is low, which is not conducive to fault diagnosis and maintenance.

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