A method for predicting the temperature rise of transformer hot spots by comparing optical fiber temperature measurement

A technology of optical fiber temperature measurement and prediction method, which is applied in the field of electrical insulation on-line monitoring and fault diagnosis, which can solve the problems of overall insulation damage, operation and maintenance difficulties, and damage of windings, and achieve online monitoring, accurate and fast batch prediction, and strong robustness sexual effect

Inactive Publication Date: 2019-02-15
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

However, the fiber optic sensor is very fragile, and it is easy to be damaged by bending or mechanical stress during installation; the insulation layer at the installation place is relatively weak, and the overall insulation of the winding will suffe

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  • A method for predicting the temperature rise of transformer hot spots by comparing optical fiber temperature measurement
  • A method for predicting the temperature rise of transformer hot spots by comparing optical fiber temperature measurement
  • A method for predicting the temperature rise of transformer hot spots by comparing optical fiber temperature measurement

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the drawings and specific implementation process. It should be emphasized that the specific implementation cases described here are only used to explain the present invention, and do not limit the scope of the inventive concept and the claims thereof.

[0046] Taking the hot spot temperature rise, load current and ambient temperature data of traction transformer A installed with optical fiber temperature measurement equipment in a traction substation as an example, and predicting the hot spot temperature rise of transformer B in different sections of the same line ,details as follows:

[0047] The first step is to obtain the measured hot spot temperature, top oil temperature, ambient temperature, and load current data of the α-phase and β-phase traction transformer A equipped with optical fiber temperature measurement equipment:

[0048]The nameplate parameters of traction transformer A are shown...

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Abstract

The invention discloses a transformer hot spot temperature rise prediction method for comparing optical fiber temperature measurement, which comprises the following steps: obtaining the measured hot spot temperature, top layer oil temperature, ambient temperature and load current data of an oil-immersed transformer equipped with optical fiber temperature measurement equipment; obtaining the measured hot spot temperature, ambient temperature and load current data of an oil-immersed transformer installed with optical fiber temperature measurement equipment; Setting up the basic frame of the hotspot temperature rise prediction model; dividing The measured data into training set and prediction set after being processed. Adopting Genetic Programming (GA) to model the data of training set, andsetting up an explicit model for predicting the temperature rise of hot spots. Inputting the data of prediction set into the prediction model to predict the temperature rise of transformer hot spots.The invention has the beneficial effects that an explicit hot spot temperature rise prediction model is finally established, and the mechanism of the hot spot temperature rise dynamic change with theload can be intuitively disclosed; With strong generalization performance, it can realize batch prediction and on-line monitoring of hot spot temperature rise of oil-immersed transformers with the same capacity in power system.

Description

technical field [0001] The invention relates to the field of electrical insulation on-line monitoring and fault diagnosis, in particular to a method for predicting temperature rise of transformer hot spots by comparing optical fiber temperature measurement. Background technique [0002] Oil-immersed transformer is the core equipment of the power system, and its efficient and safe operation plays a vital role in the operation and development of the power industry. The working life of a transformer depends on the internal insulation performance, and thermal aging is the main factor affecting the deterioration of its insulation performance. Through the prediction of hot spot temperature rise of oil-immersed transformer, the maximum temperature of winding can be directly determined, and the internal thermal state of transformer can be known to judge whether it is overheated; therefore, accurate prediction of hot spot temperature rise of oil-immersed transformer is the basis of l...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/12G06N3/00
CPCG06F30/20G06F2119/08G06N3/006G06N3/126
Inventor 袁帅郭蕾黄林唐浩龙王健王路伽周利军
Owner SOUTHWEST JIAOTONG UNIV
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