Box type transformer station current-carrying fault prediction system and application thereof

Abstract

The invention discloses a box type transformer station current-carrying fault prediction system. The system comprises a process layer, an interval layer and a station control layer, wherein the process layer is internally provided with a box type transformer station online monitoring terminal, the box type transformer station online monitoring terminal is connected with a wired temperature measurement module temperature measurement point, and the box type transformer station online monitoring terminal is also connected with a wireless temperature measure module temperature measurement point through a wireless personal area network; the interval layer is internally provided with a box type transformer station online monitoring IED, and the box type transformer station online monitoring IED is connected with the box type transformer station online monitoring terminal; and the station control layer is internally provided with a station end monitoring unit, and the station end monitoring unit is connected with the box type transformer station online monitoring IED. The invention further discloses an application method of a box type transformer station current-carrying fault prediction system. The box type transformer station current-carrying fault prediction system and the application thereof can monitor temperature change of contacts in an online mode and can also accurately position contacts with faults or hidden risks.

Description

technical field [0001] The invention belongs to the technical field of power system safety monitoring devices and methods, and specifically relates to a box-type substation current-carrying fault prediction system, and the present invention also relates to the method of using the box-type substation current-carrying fault prediction system to predict the box-type substation current-carrying fault method. Background technique [0002] The box-type substation is a kind of distribution equipment that integrates high-voltage switchgear, distribution transformer and low-voltage distribution device, and is connected according to a certain wiring scheme, and is applied to the distribution network. Based on the advantages of small footprint, convenient movement and short construction period, it has been rapidly applied in distribution network since its inception, and is generally applicable to residential quarters, urban public places, bustling downtown and construction power supply...

AI Technical Summary

Problems solved by technology

[0004] In recent years, there have been many studies on current-carrying faults, but the existing current-carrying fault prediction mainly has the following shortcomings: (1) Current-carrying faults are divided into long-term faults and immediate faults, but the existing current-carrying fault prediction schemes are all It only predicts one of the faults, but does not make a comprehensive prediction; (2) The communication with the monitoring background adopts a private protocol or a non-universal protocol, resulting in weak interoperability between devices; (3) The previous monitoring methods often The fault point is determined according to the fixed threshold, but the signal collected by the power equipment is easily disturbed during the transmission process, resulting in singular points, which leads to inaccurate determination of the fault point

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