Method for indirectly judging polymerization degree of insulation paper of oil-immersed transformer

An oil-immersed transformer and insulating paper technology, applied in the field of intelligent diagnosis, can solve the problems of lack of online micro-water sensor, low test efficiency, and difficult sampling of aging parts, so as to improve the safety of equipment operation and the personal safety of inspection personnel , Reduce economic losses, reduce maintenance costs and labor costs

Pending Publication Date: 2022-04-26
ZHEJIANG ZHENENG TECHN RES INST +1
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing method for testing the degree of polymerization of insulating paper in transformers has the following disadvantages: it is necessary to take paper samples on site, which is a destructive test; it is time-consuming and laborious, the test period is long, and the test efficiency is low; Can not reflect the overall insulation aging degree
[0004] Although the prior art has studied the relationship between the moisture content in transformer oil and the degree of polymerization of insulating paper, and formed a derivation formula, the previous studies were all based on the measurement of micro-water by general-purpose moisture analysis instruments under laboratory conditions. Reliable online micro-water sensor, so it can only ignore the dynamic process of moisture based on temperature

Method used

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  • Method for indirectly judging polymerization degree of insulation paper of oil-immersed transformer

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Embodiment 1

[0048] Embodiment 1 of the present application provides an intelligent diagnostic method for indirectly judging the polymerization degree of insulating paper of oil-immersed transformers through insulating oil detection:

[0049] Step 1. Use the film capacitance method to monitor the micro-water content in the transformer oil: set up the oil circulation device 3 and an online monitoring system, install the film capacitance micro-water sensor 2 on the oil circulation device 3, and detect the transformer in the oil circulation device 3 in real time Moisture content in oil; as figure 1 , Figure 5 and Image 6 As shown, the thin-film capacitive water sensor 2 and the hydrogen sensor 1 in the online monitoring system are installed on the oil circulation device 3; the oil circulation device 3 is also equipped with a hydrogen sensor 1; The circulation device 3 is connected to the control cabinet 5 through the cable 4; the control cabinet 5 is electrically connected to the signal ...

Embodiment 2

[0072] On the basis of Embodiment 1, Embodiment 2 of the present application provides the application in reality of the intelligent diagnosis method of indirectly judging the polymerization degree of insulating paper of oil-immersed transformers through the detection of insulating oil in Embodiment 1:

[0073] 1. Study the relationship between the moisture content in the oil and the degree of polymerization of the insulating paper in the oil insulating paper system with different aging degrees

[0074] 1. According to DL / T 984, the accelerated thermo-oxidative aging method is used to obtain samples of different aging states, and the number of prepared samples is expected to be 50. For the specific method, see Step 3 of Embodiment 1.

[0075] 2. Test the water content in oil and the water content in paper of samples of different aging degrees respectively, obtain the data in Table 1, and draw the curve (see figure 2 ), and study the law.

[0076] 3. Test the paper polymeriza...

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Abstract

The invention relates to a method for indirectly judging the polymerization degree of insulation paper of an oil-immersed transformer. The method comprises the following steps: monitoring the content of micro-water in transformer oil by using a thin-film capacitance method; the absolute content of the micro-water in the oil is calculated through the relative humidity based on the indirect measurement method of the micro-water content in the oil with the relative humidity. The system has the advantages that degassing is not needed, the content of dissolved gas hydrogen and micro-water in transformer oil is monitored in real time, and a basis is provided for deriving the polymerization degree of insulation paper. The problems that in traditional polymerization degree detection, on-site paper sampling is needed, sampling is not uniform, the test period is long, the test efficiency is low, samples are dispersed, some aged parts are not easy to sample, and the measurement result cannot reflect the overall insulation aging degree are solved. In the detection process, the equipment does not need to be shut down or disassembled, the maintenance cost and labor cost of the equipment are reduced, the economic loss caused by shutdown is reduced, and the operation safety of the equipment and the personal safety guarantee of inspection personnel are improved.

Description

technical field [0001] The invention belongs to the technical field of electric power detection, and in particular relates to an intelligent diagnosis method for indirectly judging the polymerization degree of insulating paper of an oil-immersed transformer through insulating oil detection. Background technique [0002] The degree of polymerization of cellulose molecules is the number of D-glucose monomers contained in a cellulose molecule (such as Figure 4 shown). The life of oil-immersed transformer actually refers to the life of insulating paper. The criterion for the life of insulating paper mainly depends on the mechanical properties. The aging state of the transformer insulating paper can be judged by testing the degree of polymerization of the insulating paper in the transformer. [0003] However, the existing method for testing the degree of polymerization of insulating paper in transformers has the following disadvantages: it is necessary to take paper samples on...

Claims

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Application Information

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IPC IPC(8): G01N27/22G01N33/28
CPCG01N27/223G01N33/2841
Inventor 金泱王新秦刚华王焕明杨敏潘建伟张浙波龙伟军钱坤戴程鹏钟金辉
Owner ZHEJIANG ZHENENG TECHN RES INST
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