KR20180114371A - Analysis system and analysis method for dissolved gas of transformer - Google Patents

Abstract

A gas-in-oil analyzing system of a transformer according to an embodiment of the present invention comprises: a gas-in-oil analyzer connected to a transformer and obtaining gas-in-oil from the transformer; and a judging unit for judging the state of the transformer through the component data of the gas-in-oil transferred from the gas-in-oil analyzer. The judging unit comprises: a gas composition ratio analyzing portion for analyzing a composition ratio of the gas-in-oil; a gas pattern analyzing portion for analyzing the content of another gas with respect to one specific gas; and a gas trend analyzing portion for analyzing an increase rate of the gas.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a gas analysis system and a method for analyzing gas in a transformer,

The present invention relates to a gas analysis system and method for analysis of gas in a transformer, and more particularly, to a system and method for analysis of gas in a transformer, and more particularly, And a method for analyzing gas flow in a power transformer of a power transformer capable of detecting a fault and detecting the fault before the transformer reaches a large failure such as insulation breakdown.

Generally, when a fault occurs in a transformer, it leads to a big accident such as a large scale power outage caused by a system accident, and a large loss is inevitable. Therefore, the condition diagnosis of a transformer is very important in terms of neglecting an accident.

In addition, the method used to diagnose the abnormality occurring in the overload operation of the high-capacity transformer is to analyze the gas in the transformer that detects the gas (hereinafter referred to as the oil gas) generated in the insulating oil in the transformer, that is, Gas analysis method that analyzes the amount of gas and composition of gas is the most reliable.

In order to realize this, gas oil analyzer for oil insulation oil is installed in the transformer and acquires data at regular intervals. Then, the acquired data is transferred directly to the HMI using the industrial standard communication protocol, or transferred to the HMI through data processing through a dedicated data acquisition device in the middle.

In addition, the diagnostic data transmitted from the DAU is stored in the DB server via the communication server, and the existence of defects in the transformer is analyzed through the embedded gas analysis algorithm.

On the other hand, the gas gas analysis results are output to charts according to the types of algorithms. Typical analysis methods are IEC analysis, Dornenberg analysis, and Rogers analysis.

In addition, since HMI provides only a dedicated screen for each gas analysis method, it is difficult to compare and refer to each analysis result. In addition, since the analysis method according to the prior art is simply calculated for each analysis method, there is a problem in that an accurate determination is made when the gas composition ratio point is located near the determination boundary point.

One aspect of the present invention is to use gas gas information in the diagnosis of a transformer condition, to reduce errors in the determination of faults, to apply the gas analysis method in combination with the type of the acquired gas for precise determination, to compare the results, And to provide a gas analysis system and method for analysis of gas in a transformer capable of accurately determining whether there is an abnormality in the transformer.

Another aspect of the present invention is a gas gas analysis system and analysis method of a transformer that can be applied to various fields flexibly by using various data gas sensors using a data acquisition device, Method.

Another aspect of the present invention is to analyze the state of the transformer, the cause of the failure, the replacement cycle, etc. by analyzing the dissolved amount, composition ratio, pattern and trend of the specific gas in the insulating oil, and before the transformer reaches a large failure such as insulation breakdown And to provide a gas analysis system and method for analyzing gas in a power transformer that can detect faults and take precautions in advance.

A gas analysis system for a gas stream of a power transformer according to an embodiment of the present invention includes a gas analyzer connected to a transformer and configured to acquire a gas stream from a transformer and detect a component of the gas stream, A determination unit for determining the state of the transformer through the component data of the gas, wherein the determination unit includes a gas composition ratio analyzing unit for analyzing a composition ratio of the gas in the gas phase, a gas pattern analyzing unit for analyzing a content of another gas with respect to one specific gas, And a gas trend analysis unit for analyzing an increase rate of the gas.

In the gas analysis system for the power transformer of the above-mentioned power type, the gas analyzer for in-stream gas comprises a gas analyzer for analyzing the gas in the gas, the data acquiring unit collects the gas analysis data for the gas from the gas analyzer for gas analysis, And includes a main CPU and a communication module for providing gas analysis data.

Further, in the gas analysis system for gas in the power transformer, the gas composition ratio analyzing unit includes an IEC Code method diagnosis unit, a Dornenburg method diagnosis unit, and a Duval method diagnosis unit.

In the gas analysis system for a power transformer according to the present invention, the gas trend analyzing unit may include a database storing data on a gas increase rate for each type of defect, and may include a gas increase rate at which a specific gas increases for a predetermined period, The specific gas growth rate is compared to determine if it is defective.

In addition, in the gas analysis system for gas in the power transformer, when the gas analyzer uses different protocols to detect the component data, it receives the component data from the gas analyzer, The method for analyzing the gas in the transformer according to an embodiment of the present invention may further include the step of converting the component data of the gas in the gas through the gas analyzer connected to the transformer, A gas composition analysis step of analyzing a composition ratio of gas in the gas using the gas gas data, a gas pattern analysis step of analyzing a content of the gas in the gas using the gas composition gas data, Analyze the growth rate of gas in the gas using data of gas composition Gas trend analysis step and a result output step indicating the diagnosis result of the gas composition, the transformer via the gas and the gas pattern trend.

In the method for analyzing the flow of gas in a transformer, the trend analyzing step may include receiving, as an input value, an analysis result of the gas analysis through the gas composition ratio analyzing step and the gas pattern analyzing step, And the similarity is calculated by comparing the gas increase rate pattern and the gas increase rate for each failure type constructed through experiments to determine whether the similarity satisfies a specific condition.

Further, in the gas analysis method for gas in the transformer, the gas composition ratio analysis result and the gas pattern analysis result are respectively matched with the cause of the failure.

Further, in the gas analysis method for the gas in the transformer, the step of analyzing the gas composition ratio includes the IEC Code method diagnosis, the Dornenburg method diagnosis and the Duval method diagnosis.

Also, in the method for analyzing the gas in the transformer, the trend analysis step identifies the cause of the failure by matching the increase pattern of the specific gas against the cause of the failure.

The details of other embodiments are included in the detailed description and drawings.

According to the present invention, in the diagnosis of the transformer condition, it is possible to utilize the gas information in the gas, to reduce the error of the fault determination, to apply the gas gas analysis method in combination with the type of the acquired gas for precise judgment, to compare the results, Analysis is possible.

In addition, it is possible to utilize various gas gas sensors by using the data acquisition device, and it is possible to apply diagnostic items flexibly according to the kind of gas to be acquired, so that it can be flexibly applied to various fields and is efficient.

In addition, according to the present invention, it is possible to determine not only the abnormality of the transformer but also the risk, by analyzing the dissolved amount, the composition ratio, the pattern and the trend in the insulating oil of the specific gas, and precisely grasp the condition of the transformer, The transformer can detect faults and take precautions before they reach large faults such as insulation breakdown.

It will be appreciated that embodiments of the technical idea of the present invention can provide various effects not specifically mentioned.

FIG. 1 is a schematic view illustrating a gas analysis system for gas in a power transformer according to a first embodiment of the present invention.
FIG. 2 is a schematic block diagram of a determination unit in the gas analysis system shown in FIG. 1; FIG.
3 is a flow chart schematically illustrating a method for analyzing a gas flow in a power transformer according to an embodiment of the present invention.
FIG. 4 is a 2D graph schematically showing an example of the output according to the IEC analysis code method diagnosis.
5 is a 3D graph schematically showing an example of the output according to the IEC analysis code method diagnosis
6 is a Duval triangle graph according to the Duval method diagnosis.
FIG. 7 is a graph schematically showing an example of gas pattern analysis in the gas analysis method for gas in the power transformer shown in FIG. 3; FIG.
FIG. 8 is a schematic flow chart for the gas trend analysis step in the gas analysis method for gas in the power transformer shown in FIG. 3; FIG.
FIG. 9 is a graph schematically showing an example of the gas increasing rate by the coupling type in the gas trend analysis shown in FIG.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and how to accomplish them, will become apparent by reference to the embodiments described in detail below with reference to the accompanying drawings. However, the present invention is not limited to the embodiments described herein but may be embodied in other forms. Rather, the embodiments disclosed herein are provided so that the disclosure can be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "comprises", "having", and the like are used to specify that a feature, a number, a step, an operation, an element, a part or a combination thereof is described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be construed as ideal or overly formal in meaning unless explicitly defined in the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a schematic view showing a gas analysis system for a gas stream of a power transformer according to a first embodiment of the present invention, and FIG. 2 is a schematic diagram showing a structure of a determination unit in the gas analysis system shown in FIG. 1 .

As shown in the figure, a gas analyzing system for a gas stream 1000 of a power transformer includes a gas analyzer 1100, a data acquisition unit 1200, and a determination unit 1300.

More specifically, the wet gas analyzer 1100 is connected to the transformer 2000 for recognizing each component included in the gas stream, and acquires the gas stream at regular intervals from the transformer 2000. For this, the in-flow gas analyzer 1100 may be implemented as a gas analyzer for in-stream gas analysis.

In addition, the transformer may be implemented with any inflow type transformer using insulating oil.

The data acquisition unit 1200 is connected to the gas analyzer 1100 and receives the component data acquired from the gas analyzer 1100.

That is, the data acquiring unit 1200 acquires and integrates the gas analysis data acquired from each of the gas analysis sensors compatible with the in-cylinder gas analyzer 1100, which is made up of various gas analysis sensors made by various manufacturers.

That is, the data acquisition unit 1200 receives the component data and converts the component data into a communication protocol when the gas analyzer uses different protocols to detect component data, .

In addition, the data acquisition unit 1200 may operate in conjunction with a sensor of a communication system using an industrial standard protocol. For example, the communication method can be implemented by Modbus, DNP, IEC61850, and the like.

The data acquisition unit 1200 may also use other diagnostic apparatuses that use a protocol in addition to the gas analyzer 1100 and may acquire analog and contact signals of the sensors that can be attached to the transformer 2000.

The data acquisition unit 1200 includes a main module (Main CPU Module), Comm. Module, Analog Input (AIM) and Digital Input (DIM).

Also, the main module is for communication with the upper decision unit, and Comm. The module is for communication with the gas analyzer 1100, AIM (Analog Input) is for inputting an analog signal, and DIM (Digital Input) is for inputting a contact signal.

Next, the determination unit 1300 analyzes the composition ratio of the natural gas contained in the dielectric oil through the component data information transmitted from the data acquisition unit 1200 to diagnose the state, failure, and abnormality of the transformer.

In addition, the determination unit 1300 may directly receive the component data of the in-stream gas from the in-flow gas analyzer 1100.

In addition, the determination unit 1300 reduces the fault determination error and makes a precise determination when diagnosing the state of the transformer 2000. [ To this end, in addition to the individual analysis of the gas in the gas, the gas is analyzed in a complex manner according to the type of gas obtained, the results of the analysis are compared with each other, and finally the fault is judged.

The determination unit 1300 includes a gas composition ratio analyzer 1310, a gas pattern analyzer 1320, and a gas trend analyzer 1330 as shown in FIG.

And the determination unit 1300 of seven types of gas as the input hydrogen (H _2), methane (CH _4), ethane (C ₂ H _6), ethylene (C ₂ H _4), acetylene (C2H2), CO (Carbon monoxide), and CO ₂ (carbon dioxide).

In addition, three kinds of gases among seven kinds of gases are selected, and final analysis results can be obtained by combining the gas gas composition ratio analysis method, the pattern analysis method, and the gas increase rate trend analysis method.

The gas composition ratio analysis unit 1310 includes an IEC Code method diagnosis unit 1311, a Dornenburg method diagnosis unit 1312, and a Duval method diagnosis unit 1313.

Next, the gas pattern analyzing unit 1320 analyzes a pattern of the content of each gas.

Next, the gas trend analyzing unit 1330 is for determining the risk of the generation of the gas in the transformer by using a linear regression analysis method.

Meanwhile, in the linear regression analysis method, the slope of the regression line of the trend data on the gas growth rate for a certain period of time for the feature generation gases is calculated according to the discrimination result to calculate the set rate of increase (characteristic of FIG. 6) .

FIG. 3 is a flow chart schematically illustrating a method for analyzing a flowing gas in a transformer according to an embodiment of the present invention.

As shown in the figure, the gas analysis method S1000 of the transformer includes a data input step S1100, a gas composition ratio analysis step S1200, a gas pattern analysis step S1300, a gas trend analysis step S1400, S1500).

More specifically, the step of inputting the component data (S1100) is a step of inputting each component data detected through a gas-to-gas analyzer connected to a transformer.

And component data of seven types of gas hydrogen (H _2), methane (CH _4), ethane (C ₂ H _6), ethylene (C ₂ H _4), acetylene _{(C 2 H 2), CO} ( carbon monoxide), CO ₂ carbon dioxide) is used. And three of the most commonly used gas types are available.

Next, the gas composition ratio analysis step (S1200) is to determine the composition ratio of the specific component gas to determine the kind of the abnormal phenomenon, and includes the IEC Code method diagnosis, the Dornenburg method diagnosis and the Duval method diagnosis.

More specifically, the IEC Code method diagnostics obtains gas levels (C ₂ H ₂ , C ₂ H ₄ , CH ₄ , H ₂ , C ₂ H ₆ ), through which the gas ratio is calculated, It is judged whether or not the abnormal case is included. Then, it outputs the case.

At this time, the gas ratios are C ₂ H ₂ / C ₂ H ₄ , CH ₄ / H ₂ , and C ₂ H ₄ / C ₂ H ₆ .

CASE
CHARACTERISTIC FAULT C ₂ H ₂ / C ₂ H ₄ C ₂ H ₄ / H ₂ C ₂ H _{4 /} C ₂ H ₆ PD
Partial discharges NS &Lt; 0.1 <0.2 D1
Discharges of low energy > 1 0.1-0.5 > 1 D2 Discharges of high energy 0.6-2.5 0.1-1 > 2 T1 Thermal fault
t < 300 DEG C NS > 1 BUT NS <1 T2 Thermal fault
300 ° C <t <700 ° C &Lt; 0.1 > 1 1-4 T3 Thermal fault
t> 700 ° C <0.2 > 1 > 4

And FIGS. 4 and 5 are graphs schematically showing outputs for the above Table 1. FIG.

The Dornenburg law diagnosis is based on the assumption that gas levels (C ₂ H ₂ , C ₂ H ₄ , CH ₄ , H ₂ and C ₂ H ₆ ) are acquired and that the gas level is exceeded. do. It is judged whether or not the abnormal case is included according to the gas ratio. Then, it outputs the case.

The gas ratios were CH ₄ / H ₂ , C ₂ H ₂ / C ₂ H ₄ , C ₂ H ₂ / CH ₄ and C ₂ H ₆ / C ₂ H ₂ , A diagnosis result can be obtained.

CH ₄ / H ₂ C ₂ H _{2 /} C ₂ H ₄ C ₂ H ₂ / CH ₄ C ₂ H ₆ / C ₂ H ₂ Thermal
Decomposition > 0.1 <0.75 <0.3 > 0.4 Corona &Lt; 0.1 Note
Significant <0.3 > 0.4 Arcing > 0.1 and <1.0 > 0.75 > 0.3 <0.4

The Duval law diagnosis then acquires the gas levels (C ₂ H ₂ , C ₂ H ₄ , CH ₄ ), calculates the distribution for each of the three gas levels, and calculates the calibration for each axis of the Duval Triangle. Then analyze the key faults in the fixed.

E.g,

For _{CH 4 = 56ppm, C 2 H} 4 = 55ppm, C 2 H 2 = 43ppm,

Distribution%

_{% CH 4 = 100X56 / (56} + 55 + 43) = 36.36

% C ₂ H ₄ = 100 X 55 / (56 + 55 + 43) = 35.71

% C ₂ H ₂ = 100 X 43 / (56 + 55 + 43) = 27.92.

Next, the intersection is calculated as shown in Fig.

Further, as shown in Fig. 6, the key error is identified as D2.

PD denotes partial discharge, D1 denotes low-energy discharge, D2 denotes high-energy discharge, T1 denotes low-temperature superheat, T2 denotes mid-temperature superheat, and T3 denotes high temperature superheat.

Next, the gas pattern analysis step (S1300), as illustrated in FIG. 7, shows the gases on the abscissa, and the ordinate shows the gas recording the greatest amount among the gases on the abscissa, The number is expressed in terms of number.

 In the gas pattern analysis step (S1300), the phenomenon is easy to understand sensibly according to the analog method, and the content change of the abnormality appears as a change of the model, and it is easy to diagnose it in contrast with the past accident cases.

Next, Table 3 below shows the results of diagnostics on the basis of the gas in the gas and the corresponding values of the abnormality in the table.

D2 (high energy discharge), T1 (low temperature superheat), T2 (medium temperature superheat), and D2 (low temperature superheat) for the IEC Code method diagnosis, Dornenburg method diagnosis and Duval method diagnosis and pattern diagnosis, , T3 (high temperature overheating), and Arcing (arc discharge).

Although the composition ratio characteristics are the same, the boundary value for the determination is different, and a generalized diagnosis result is derived using the matching table.

IEC Donenberg Duval pattern PD PD PD PD PD D1 D1 Arcing D1 D1 D2 D2 D2 D2 T1 T1 T T1 T1 T2 T2 T2 T2 T3 T3 T3 T3

Next, the gas trend analysis step (S1400) analyzes the trend of the gas increase in the amount of generated gas in the transformer.

As a specific gas trend analysis method for this, as shown in FIG. 8, a first gas analysis result (for example, composition ratio analysis and pattern analysis) is received as an input value.

Then, through the input values, the gas increase pattern is calculated through the set of characteristic gas (see Table 4) for the corresponding failure cause. For example, in the IEC code diagnosis method, C ₂ H ₆ , CH ₄ , C ₂ H ₄ analysis is performed for T1, and C ₂ H ₂ , H ₂ , C ₂ H ₄ and CH ₄ are analyzed for PD in Duval.

Next, the similarity is calculated by comparing the set value of the gas growth rate with the value of the gas increase rate library by the type of the fault built through the experiment.

And confirms that the degree of similarity satisfies a predetermined value (for example, 50% or more).

Next, weights are added according to the degree of similarity to refer to the final diagnosis result.

That is, the similarity weighting is for applying the ranking according to the degree of similarity when a plurality of trend analysis results exceeding the similarity standard value are generated.

Also, we apply high weights to the results with high similarity to the increase patterns in the existing input trend library, and output them in a high order.

In addition, the gas trend analysis on the amount of generated gas in the transformer is performed by analyzing the linear regression to determine the risk. The linear regression analysis calculates the rate of increase of the characteristic gas by calculating the slope of the regression line of the trend data for the gas growth rate for a certain period of time for the characteristic gas generated by the discrimination result.

FIG. 9 is a graph showing an increase rate pattern for the characteristic gas during a certain base stage and storing it in a system through an experiment.

Next, Table 4 below shows the matching of specific gases according to the cause of the failure. That is, the cause of the failure is identified by matching the increase rate of the specific gas with respect to the cause of the failure.

Cause of failure Feature gas Corona in oil PD C ₂ H _2, H ₂ , C ₂ H ₄ , CH ₄ , Oil arc
D1 H ₂ , C ₂ H ₂ , C ₂ H ₄ , CH ₄
D2
Superheated oil
Low temperature (below 300 ℃) T1 C ₂ H ₆ , CH ₄ , C ₂ H ₄ At medium temperature (300 ° C to 700 ° C) T2 CH ₄ , C ₂ H ₄ , C ₂ H ₆ High temperature (over 700 ℃) T3 C ₂ H ₄ , CH ₄ , C ₂ H ₆

Next, in the result output step (S1500), the analysis results of the composition ratio analysis and the gas pattern are shown in a linked form by the gas increase trend weighting.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood that the invention may be practiced. It is therefore to be understood that one embodiment described above is illustrative in all aspects and not restrictive.

1000: Gas analysis system for gas in power transformer
1100: In-stream gas analyzer 1200: Data acquisition unit
1300: Decision section 1310: Gas composition ratio analysis section
1311: IEC Code Law Department 1312: Dornenburg Law Department
1313: Duval method diagnosis part 1320: Gas pattern analysis part
1330: Gas Trend Analysis Unit 1331: Database
2000: Transformer

Claims (10)

A fluid gas analyzer connected to the transformer and adapted to acquire the gas stream from the transformer and to detect the components of the gas stream; And
And a determination unit for determining the state of the transformer through the component data of the gas stream transferred from the gas analyzer,
The determination unit
A gas pattern analysis section for analyzing the composition ratio of gas in the gas, a gas pattern analysis section for analyzing the content of another gas with respect to one specific gas, and a gas trend analysis section for analyzing an increase rate of the gas
Flow analysis of gas in transformer.
The method according to claim 1,
Wherein the gas analyzer comprises a gas analyzer for analyzing gas in the gas phase,
The data acquisition unit
A main CPU and a communication module for collecting gas analysis data on the gas from the gas analysis sensor and for providing the gas analysis data to the determination section
Flow analysis of gas in transformer.
The method according to claim 1,
The gas composition ratio analyzer
IEC Code Law Department, Dornenburg Law Department, and Duval Law Department
Flow analysis of gas in transformer.
The method according to claim 1,
The gas trend analyzing unit
A database for storing data on a gas increase rate for each type of defect,
A determination is made as to whether or not a specific gas is defective by comparing the gas increase rate that the specific gas increases for a predetermined period and the specific gas increase rate stored in the database
Flow analysis of gas in transformer.
The method according to claim 1,
A data acquisition unit for receiving the component data from the gas analyzer and converting the component data into one communication protocol and transmitting the same to a communication unit when the gas analyzer uses different protocols to detect component data; More included
Flow analysis of gas in transformer.
A component data input step of inputting component data of the gas in the gas through a gas analyzer for gas flowing into the transformer;
A gas composition ratio analyzing step of analyzing the composition ratio of the gas in the gas using the gas composition data;
A gas pattern analysis step of analyzing the content of the gas in the gas using the gas composition data;
A gas trend analysis step of analyzing an increase rate of the gas in the gas using the gas gas component data;
The gas composition ratio, the gas pattern, and a result output step of indicating a diagnosis result of the transformer through the gas trend
METHOD FOR ANALYZING WATER GAS IN A TRANSFORMER
The method according to claim 6,
The trend analysis step
The gas composition ratio analysis step and the gas pattern analysis step,
Calculating a gas increase rate of the characteristic gas with respect to the cause of the failure through the input value,
The degree of similarity is calculated by comparing the gas increase rate pattern and the gas increase rate for each type of failure,
And judges whether or not the similarity satisfies a specific condition
A method for analyzing the aspiration gas of a transformer.
The method according to claim 6,
The gas composition ratio analysis result and the gas pattern analysis result are respectively matched with the cause of the failure
A method for analyzing the aspiration gas of a transformer.
The method according to claim 6,
The gas composition ratio analysis step
Including the IEC Code law diagnosis, Dornenburg law diagnosis and Duval law diagnosis
A method for analyzing the aspiration gas of a transformer.
8. The method of claim 7,
The trend analysis step
Match the increase pattern of the specific gas against the cause of the fault to identify the cause of the fault
A method for analyzing the aspiration gas of a transformer.

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