Early stage defect early warning method for transformer based on on-line monitoring of dissolved gases in oil

A technology of dissolved gas and dissolved gas in oil, applied in transformer testing, measuring electrical variables, instruments, etc., can solve the problems of not reflecting the advantages of online monitoring system, increasing the difficulty of model establishment, and absolute coding boundary

Active Publication Date: 2019-03-19
HUAQIAO UNIVERSITY
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Problems solved by technology

[0003] At present, the widely used IEC three-ratio method in the field application has the following problems: 1) This method mainly monitors and analyzes the gas concentration data, which is a static analysis method and does not reflect the advantages of the online monitoring system; 2) ) This method is mainly a threshold alarm, and it is not applicable when the volume fraction does not reach the attention value, and the setting of the alarm threshold is difficult, and there is no sufficient basis; 3) There is a lack of coding problem, and the coding boundary is too absolute, which is prone to misjudgment
Although there is a certain correlation between the monitoring data of different transformers, considering the influence of the operating environment and the status of the transformer itself (model, manufacturer, service age, etc.) The operating state of transformers requires enough typical state sample data based on individuals, which increases the difficulty of model establishment and also brings difficulties to the promotion of transformer DGA fault diagnosis methods based on machine learning

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  • Early stage defect early warning method for transformer based on on-line monitoring of dissolved gases in oil
  • Early stage defect early warning method for transformer based on on-line monitoring of dissolved gases in oil
  • Early stage defect early warning method for transformer based on on-line monitoring of dissolved gases in oil

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Embodiment Construction

[0068] The present invention will be further described below through specific embodiments.

[0069] Process see figure 1 , the transformer used in this embodiment is a 3×277MVA 515 / 22KV single-phase transformer group manufactured by British Alstom Company (now AREVA Company), wiring group YNd1, high and low voltage side middle outlet, impedance voltage 16.6%. The main transformer is an open transformer with no diaphragm and capsule in the oil conservator. The transformer insulating oil uses Nytro 10GBN hydrogenated light naphthenic mineral oil from NYNAS Company in Sweden. According to the change of different fault gas components in Table 1, it is established as figure 2 The complex network model of the shown transformer and the key network corresponding to the fault (the gas monitoring items are shown in Table 2, and CO is not measured in this embodiment 2 , so the built network is a 6-node network), where the dots with oblique stripes are critical nodes corresponding to ...

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Abstract

The invention discloses an early stage defect early warning method for a transformer based on on-line monitoring of dissolved gases in oil. The method includes the steps of step I, based on an on-linemonitoring device for the dissolved gases in the transformer oil, building a complex network model describing spatio-temporal dynamic evolution characteristics of a transformer; step II, based on thereal-time monitoring data of the on-line monitoring device of the dissolved gases in the transformer oil, normalizing the data of each node of a complex network model, and dynamically screening key nodes in the current complex network model of the transformer; step III, forming key networks with the selected key nodes, respectively calculating the average standard deviation of the key networks under each time period (i), the average Pearson correlation coefficient between each node and the average Pierre correlation coefficient between the nodes in the key networks and other non-key nodes, and obtaining a quantized value Ii of a key network marker under a current time period (i) according to the calculation result; step IV, when (Ii-Ii-1) is greater than 0.05 and (Ii-Ii+1) is greater than0.05, issuing an early warning signal.

Description

technical field [0001] The invention relates to the technical field of defect early warning and fault diagnosis of power transformers, in particular to an early defect early warning method for transformers based on online monitoring of dissolved gas in oil. Background technique [0002] The power transformer is the most basic and important power grid equipment in the power system, and it is also a kind of equipment that is prone to accidents. Defect early warning and fault diagnosis for the transformer are important contents to ensure the stable operation of the power system. Among them, the monitoring and analysis of oil Dissolved gas (DGA) plays an important role in ensuring the safe and stable operation of transformers. [0003] At present, the widely used IEC three-ratio method in the field application has the following problems: 1) This method mainly monitors and analyzes the gas concentration data, which is a static analysis method and does not reflect the advantages o...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G01R31/02G01N30/02
CPCG01N30/02G01R31/62
Inventor方瑞明张燕王黎谢远强
OwnerHUAQIAO UNIVERSITY