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MA-DBN-based GIS decomposed gas content prediction method

A prediction method and gas decomposition technology, applied in the field of GIS fault diagnosis, can solve the problems of inaccurate prediction of MA algorithm model, inability to accurately predict the failure of GIS switchgear, etc., achieving difficult convergence speed, solving inaccurate prediction, and reducing economic losses. Effect

Active Publication Date: 2019-10-08
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a MA-DBN-based GIS decomposition gas content prediction method, which solves the inaccurate prediction of the existing MA algorithm model and the inability to accurately predict GIS The problem with switchgear failure

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Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] The MA-DBN-based GIS decomposition gas content prediction method of the present invention, such as figure 2 As shown, the specific process includes the following steps:

[0057] Step 1. Collect the SOs detected by the State Grid on the GIS equipment for a period of time 2 , SO 2 f 2 , SO 2 f 2 / SO 2 , temperature, humidity and altitude data;

[0058] For example, first collect the decomposition gas data of GIS switchgear (SO 2 , SO 2 f 2 , SO 2 f 2 / SO 2 ) and operating environment data (temperature, humidity, altitude data) of 105 days of operation data, the gas data of the first 100 days are used as the input of the MA model, and the data of the last five days are used to verify the predicted results.

[0059] The specific fault types and characteristic data are shown in Table 1:

[0060] Table 1 GIS fault types and ch...

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Abstract

The invention discloses a MA-DBN-based GIS decomposed gas content prediction method, which comprises the following steps of firstly, acquiring the SO2, SO2F2, SO2F2 / SO2, air temperature, humidity andaltitude data in a period of time monitored by a state grid for the GIS equipment; secondly, constructing an MA model, taking the collected gas data as the input of the model, and predicting the gas data in the future time period; and finally, constructing a DBN model, taking the predicted gas data as the input of the DBN model, and correcting the DBN model to obtain the accurately predicted gas data in the future time period. The method solves the problem of inaccurate MA algorithm model prediction, has the advantages of being high in convergence speed and not prone to falling into local optimum, can eliminate the fault before the fault of a GIS switch device happens, and reduces the economic losses caused by the faults of the GIS equipment.

Description

technical field [0001] The invention belongs to the technical field of GIS fault diagnosis, and in particular relates to a MA-DBN-based GIS decomposition gas content prediction method. Background technique [0002] Gas-insulated metal-enclosed switchgear (GIS) is the key equipment of the power system, and its partial discharge fault detection is an important part of GIS maintenance work. Accurate fault prediction can make GIS small in the early stage by taking appropriate measures before GIS fails. Faults can be eliminated, thereby reducing economic losses caused by power system failures. [0003] According to the different discharge energy, the discharge of GIS switchgear can be divided into arc discharge, spark discharge and corona discharge. Discharge will promote SF 6 break down, such as figure 1 Shown, SF 6 Under the action of discharge, the gas undergoes a series of chemical reactions to finally generate SOF 2 , SO 2 f 2 , SO 2 , HF and other compounds. Among ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G01R31/12
CPCG01R31/1281G06F30/20
Inventor 黄新波王宁田毅朱永灿
Owner XI'AN POLYTECHNIC UNIVERSITY
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