KR20180045567A - Apparatus for analyzing gas in transformer - Google Patents

Abstract

The present invention provides an apparatus for analyzing dissolved gases in oil of a transformer capable of accurately diagnosing a state of a transformer. The apparatus for analyzing dissolved gases in oil of a transformer according to an embodiment of the present invention comprises: a sensor unit for receiving state information of the transformer and measuring an amount of a plurality of different gases generated in the transformer when the state of the transformer is at least one of a plurality of predetermined states; a storage unit having a plurality of storage spaces for each state and storing the amount of generated gas detected by the sensor unit in a storage space corresponding to the state information of the transformer; and an analysis unit for generating a tree having a plurality of cases based on at least one generation amount of the plurality of gases and analyzing the generation amount information of the plurality of gases stored in the storage unit to determine the state probability for each of the plurality of cases.

Description

[0001] Apparatus for analyzing gas in transformer [0002]

The present invention relates to a transformer wet gas analysis apparatus.

If 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. There is a gas analyzer in the transformer in-oil which detects the gas generated in the insulating oil inside the transformer (hereinafter referred to as "gas in the gas"), which is used to diagnose an abnormality occurring in the overload operation of the large-capacity transformer.

Japanese Patent Application Laid-Open No. 10-2013-0003764

The present invention provides a transformer in-oil gas analyzer capable of accurately diagnosing the state of a transformer through a gas generated in the transformer by analyzing a correlation between the gas generated in the transformer and the state of the transformer.

The apparatus for analyzing the in-fluid gas of a transformer according to an embodiment of the present invention includes a transformer gas analyzer for receiving a state information of a transformer and calculating an amount of a plurality of different gases generated in the transformer when the state of the transformer is at least one of a plurality of predetermined states A sensor unit for measuring the temperature; A storage unit for storing the amount of generated gas detected by the sensor unit in a storage space corresponding to the state information of the transformer with the storage space for each of the plurality of states; And an analysis unit for generating a tree having a plurality of cases based on an amount of generation of at least one of the plurality of gases and analyzing the generation amount information of the plurality of gases stored in the storage unit to determine a status probability of the plurality of cases, part; . ≪ / RTI >

For example, the transformer gas analyzing apparatus may further include an output unit that applies the generated amount of the plurality of gases measured by the sensor unit to the tree, and outputs the status probability of the transformer in real time.

For example, the analyzer may generate the tree according to the Twoing splitting rule or the Gini splitting rule, and may change the splitting rule applied to generation of the tree when an input signal is input.

For example, the analyzer may check the generation amount of the C2H2 gas among the plurality of different gases generated in the transformer, check the generation amount of the C2H4 gas, check the generation amount of the CH4 gas or the H2 gas, The tree may be created to determine the case to which it belongs.

For example, the analysis unit may include a case in which the amount of generated C2H4 gas generated in the transformer is smaller than a first reference value and the amount of generated H2 gas generated in the transformer is greater than a second reference value, and a generation amount of C2H4 gas generated in the transformer The tree may be created so that the probability of occurrence of the partial discharge in the transformer is 100% when the generated amount of H2 gas generated by the transformer is larger than the third reference value, which is greater than the first reference value .

The transformer gas analyzing apparatus according to an embodiment of the present invention can generate a tree that allows accurate diagnosis of the state of the transformer through the gas generated from the transformer.

1 is a view showing a transformer wet gas analysis apparatus according to an embodiment of the present invention.
FIG. 2 is a diagram showing a first tree created by a transformer wet gas analysis apparatus according to an embodiment of the present invention. FIG.
3 is a diagram illustrating a second tree created by the transformer wet gas analysis apparatus according to an embodiment of the present invention.

It is noted that the technical terms used herein are used only to describe specific embodiments and are not intended to limit the invention. It is also to be understood that the technical terms used herein are to be interpreted in a sense generally understood by a person skilled in the art to which the present invention belongs, Should not be construed to mean, or be interpreted in an excessively reduced sense. Further, when a technical term used herein is an erroneous technical term that does not accurately express the spirit of the present invention, it should be understood that technical terms that can be understood by a person skilled in the art are replaced. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.

Also, the singular forms "as used herein include plural referents unless the context clearly dictates otherwise. In this application, the term "comprising" should not be construed as necessarily including the various elements or steps described in the specification, and some of the elements or portions thereof may not be included, Or < / RTI > additional elements or steps.

Further, the suffix "part" for a component used in the present specification is given or mixed in consideration of ease of specification, and does not have a meaning or role that is different from itself.

Furthermore, terms including ordinals such as first, second, etc. used in this specification can be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted.

In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. It is to be noted that the accompanying drawings are only for the purpose of facilitating understanding of the present invention, and should not be construed as limiting the scope of the present invention with reference to the accompanying drawings.

1 is a view showing a transformer wet gas analysis apparatus according to an embodiment of the present invention.

Referring to FIG. 1, a transformer wet gas analysis apparatus according to an embodiment of the present invention may include a sensor unit 110, a storage unit 120, an analysis unit 130, and an output unit 140, The gas generated in the transformer 10 can be analyzed.

The sensor unit 110 receives the state information of the transformer 10 and measures the amount of the plurality of different gases generated in the transformer 10 when the state of the transformer 10 is at least one of a plurality of predetermined states can do. For example, the state information may include partial discharge, dielectric breakdown, and local overheating, and the plurality of gases may include carbon dioxide (CO 2), carbon monoxide (CO), methane (CH 4), ethane (C 2 H 6) , Ethylene (C2H4), acetylene (C2H2), and hydrogen (H2).

That is, the sensor unit 110 can acquire information for analyzing the correlation between the gas generated in the transformer 10 and the state of the transformer 10.

The storage unit 120 may store the amount of the plurality of gases sensed by the sensor unit 110 in a storage space corresponding to the state information of the transformer 10 with the storage space for each of the plurality of states. For example, the storage space may have a matrix form in which a row is composed of a plurality of state information and a column is composed of a plurality of pieces of gas information.

That is, the storage unit 120 can accumulate information accumulated by the sensor unit 110 in a systematic manner, and can provide an environment for analyzing the correlation of the analysis unit 130 efficiently.

The analysis unit 130 generates a tree having a plurality of cases based on the amount of generated at least one of the plurality of gases, analyzes information on the amount of generated gas stored in the storage unit 120, 10) can be determined.

For example, the analyzer 130 may set reference values for acetylene (C2H2), ethylene (C2H4), methane (CH4), and hydrogen (H2) And the amount of acetylene (C2H2) generated in the generated gas is less than or equal to the reference value. The condition of the second case can be set when the amount of acetylene (C2H2) generated in the transformer 10 exceeds the reference value .

The analysis unit 130 may initially or update the status probabilities of the plurality of case-based transformers 10 by analyzing the information stored in the storage unit 120 in an inductive or statistical manner.

Accordingly, it is possible to accurately analyze the correlation between the gas generated in the transformer 10 and the state of the transformer 10, Thereby providing an environment for accurate state diagnosis of the transformer 10.

Meanwhile, the analyzer 130 may generate the tree according to the Twoing splitting rule or the Gini splitting rule, and may change the splitting rule applied to generation of the tree when an input signal is input. Here, the input signal may be transmitted to the analyzer 130 as an external input of the user.

The output unit 140 can output the status probability of the transformer 10 in real time by applying the amount of the plurality of gases measured by the sensor unit 110 to the tree. For example, the output unit 140 may include a display panel for displaying the status probability, and may include a touch screen panel for receiving the input signal.

FIG. 2 is a diagram showing a first tree created by a transformer wet gas analysis apparatus according to an embodiment of the present invention. FIG.

2, the first tree includes a first-first branch point 211, a first-second branch point 212, a first-third branch point 213, a first-fourth branch point 214, The first 1-7 branch point 217, the 1-8 branch point 218, the 1-9 branch point 219, the 1-1 case 221, the 1- 1-2 case 222, 1-3 case 223, 1-4 case 224, 1-5 case 225, 1-6 case 226, 1-7 case The first 1-9 case 228, the first 1-9 case 229, and the 1-10 case 230. For example, the first tree may be generated according to the Twoing splitting rule.

The left side of the first-first turning point 211 to the first-9th turning point 219 is when the gas generation amount is less than the reference value and the right side of the first-first turning point 211 to the first- Is equal to or greater than the reference value.

The first-first turning point 211 is a branch point for confirming the amount of generation of acetylene (C2H2), and may have a reference value of 20 or more and less than 25. For example, the reference value may be 21.35.

The first and second branching points 212 are branch points for confirming the generation amount of ethylene (C2H4), and may have a reference value of 35 or more and less than 40. For example, the reference value may be 39.75.

The first to third branch points 213 are branch points for confirming the amount of ethylene (C2H4) generation, and may have a reference value of 15 or more and less than 20. For example, the reference value may be 19.0.

The first to fourth branch points 214 are branch points for confirming the generation amount of acetylene (C2H2), and may have a reference value of 0 or more and less than 5. For example, the reference value may be 1.25.

The first to fifth branch points 215 are branch points for confirming the amount of methane (CH4) generation, and can have a reference value of 75 or more and less than 80. [ For example, the reference value may be 79.85.

The first 1-6 branch point 216 is a branch point for confirming the generation amount of methane (CH4), and may have a reference value of 5 or more and less than 10. For example, the reference value may be 8.15.

The first 1-7 branch point 217 is a branch point for checking the amount of generation of hydrogen (H2), and may have a reference value of 85 or more and less than 90. [ For example, the reference value may be 87.0.

The 1-8 branch point 218 is a branch point for confirming the generation amount of hydrogen (H2), and may have a reference value of 80 or more and less than 85. [ For example, the reference value may be 83.8.

The first 1-9 branch point 219 is a branch point for checking the amount of generation of acetylene (C2H2), and may have a reference value of 0 or more and less than 5. For example, the reference value may be 0.5.

The first-first case 221 may have a fourth state occurrence probability of 100%.

The first-second case 222 may have a first state occurrence probability of 100%.

The first to third cases 223 may have a second state occurrence probability of 80% and a third state occurrence probability of 20%.

The first to fourth cases 224 may have a fourth state occurrence probability of 100%.

The 1-5 case 225 may have a first state occurrence probability of 100%.

The 1-6 case 226 may have a fifth state occurrence probability of 80% and a fourth state occurrence probability of 20%.

The first 1-7 case 227 may have a sixth state occurrence probability of 60%, a third state occurrence probability of 20%, and a second state occurrence probability of 20%.

The first 1-8 case 228 may have a third state occurrence probability of 100%.

The first to ninth cases 229 may have a second state occurrence probability of 70%, a third state occurrence probability of 20%, and a sixth state occurrence probability of 10%.

The 1-10th case 230 may have a third state occurrence probability of 100%.

Meanwhile, the first state is a partial discharge, the second and third states are D1 and D2 states, respectively, and the fourth to sixth states are T1 to T3 states, respectively. For example, the D1 and D2 states may be one of a plurality of dielectric breakdown types, and the T1 to T3 states may be one of a plurality of local overheating types.

3 is a diagram showing a second tree created by the transformer wet gas analysis apparatus according to an embodiment of the present invention.

3, the second tree includes a second-first branch point 311, a second-second branch point 312, a second-third branch point 313, a second-fourth branch point 314, The second 2-9 branch point 315, the second 2-6 branch point 316, the second 2-7 branch point 317, the second 2-8 branch point 318, the second 2-9 branch point 319, 2-1 case 321, second 2-2 case 322, second 2-3 case 323, second 2-4 case 324, second 2-5 case 325, second 2-6 case 326), the second 2-7 case 327, the second 2-8 case 328, the second 2-9 case 329, the second 2-10 case 330 and the second 11-11 case 331 . For example, the second tree may be generated according to the Gini fission rule.

The left side of the second-first branching point 311 to the second-tenth branching point 320 is when the gas generation amount is less than the reference value and the right side of the second-first branching point 311 to the second- Is equal to or greater than the reference value.

The second-first branch point 311 is a branch point for confirming the amount of generation of acetylene (C2H2), and may have a reference value of 20 or more and less than 25. For example, the reference value may be 21.35.

The second 2-branch point 312 is a branch point for confirming the amount of ethylene (C2H4) generation, and may have a reference value of 60 or more and less than 65. For example, the reference value may be 63.9.

The second to third branch point 313 is a branch point for confirming the amount of generated ethylene (C2H4), and may have a reference value of 15 or more and less than 20. For example, the reference value may be 19.0.

The second 2-4 branch point 314 is a branch point for confirming the amount of generation of acetylene (C2H2), and may have a reference value of 0 or more and less than 5. For example, the reference value may be 1.25.

The second 2-5 branch point 315 is a branch point for confirming the amount of generation of ethane (C2H6), and may have a reference value of 15 or more and less than 20. For example, the reference value may be 18.7.

The second 2-6 branch point 316 is a branch point for checking the amount of methane (CH4) generated, and may have a reference value of 5 or more and less than 10. For example, the reference value may be 8.15.

The second 2-7 branch point 317 is a branch point for confirming the amount of generation of ethane (C2H6), and may have a reference value of 20 or more and less than 25. For example, the reference value may be 21.4.

The second 2-8 branch point 318 is a branch point for confirming the amount of methane (CH4) generated, and may have a reference value of 90 or more and less than 95. [ For example, the reference value may be 94.8.

The second 2-9 branch point 319 is a branch point for confirming the amount of generation of hydrogen (H2), and may have a reference value of 30 or more and less than 35. [ For example, the reference value may be 30.65.

The 2-10 branch point 320 is a branch point for confirming the amount of ethylene (C2H4) generation, and may have a reference value of 85 or more and less than 90. For example, the reference value may be 87.25.

The second-1 case 321 may have a fifth state occurrence probability of 60% and a first state occurrence probability of 40%.

The second-second case 322 may have a fourth state occurrence probability of 100%.

The second to third case 323 may have a second state occurrence probability of 80% and a third state occurrence probability of 20%.

The second to fourth cases 324 may have a sixth status occurrence probability of 100%.

The second 2-5 case 325 may have a sixth state occurrence probability of 90% and a fifth state occurrence probability of 10%.

The second 2-6 case 326 may have a first state occurrence probability of 50% and a fifth state occurrence probability of 50%.

The second 2-7 case 327 may have a third state occurrence probability of 50% and a sixth state occurrence probability of 50%.

The second to eighth cases 328 may have a fourth state occurrence probability of 90% and a fifth state occurrence probability of 10%.

The second 2-9 case 329 may have a third state occurrence probability of 100%.

The second to tenth cases 330 may have a second state occurrence probability of 70%, a third state occurrence probability of 20%, and a sixth state occurrence probability of 10%.

The second to 11th cases 331 may have a third state occurrence probability of 100%.

Meanwhile, the first state is a partial discharge, the second and third states are D1 and D2 states, respectively, and the fourth to sixth states are T1 to T3 states, respectively. For example, the D1 and D2 states may be one of a plurality of dielectric breakdown types, and the T1 to T3 states may be one of a plurality of local overheating types.

Meanwhile, the transformer wet gas analysis apparatus according to an embodiment of the present invention can be implemented as a computing device described below.

For reference, " part " disclosed in an embodiment of the present invention may be a computing device, and the computing device may include at least one processing unit and memory.

The processing unit may include a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) And may have a plurality of cores.

The memory may be a volatile memory (e.g., RAM, etc.), a non-volatile memory (e.g., ROM, flash memory, etc.), or a combination thereof.

The computing device may also include additional storage. Storage includes, but is not limited to, magnetic storage, optical storage, and the like.

The storage may store computer readable instructions for implementing one or more embodiments disclosed herein, and other computer readable instructions for implementing an operating device, application programs, and the like. The computer readable instructions stored in the storage may be loaded into memory for execution by the processing unit.

On the other hand, the computing device may include communication connection (s) that enable it to communicate with other devices (e.g., temperature measurement unit, zero calibration unit) through the network. Here, the communication connection (s) may include a modem, a network interface card (NIC), an integrated network interface, a radio frequency transmitter / receiver, an infrared port, a USB connection or other interface for connecting a computing device to another computing device . The communication connection (s) may also include wired connections or wireless connections.

Each component of the computing device described above may be connected by various interconnects (e.g., peripheral component interconnect (PCI), USB, firmware (IEEE 1394), optical bus architecture, etc.) As shown in FIG.

As used herein, terms such as " to, " and the like refer generally to hardware, a combination of hardware and software, software, or a computer-related entity that is software in execution. , A processor, an object, an executable, an execution thread, a program, and / or a computer, for example, but not limited to, an application running on the controller and a controller. One or more components may reside within a process and / or thread of execution, and the components may be localized on one computer and distributed among two or more computers.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the present invention is not limited to the disclosed exemplary embodiments, but various changes and modifications may be made without departing from the scope of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but are intended to illustrate and not limit the scope of the technical spirit of the present invention. The scope of protection of the present invention should be construed according to the claims, and all technical ideas which are within the scope of the same should be interpreted as being included in the scope of the present invention.

10: Transformer
110:
120:
130:
140:

Claims (5)

A sensor unit that receives status information of the transformer and measures an amount of a plurality of different gases generated in the transformer when the state of the transformer is at least one of a plurality of predetermined states;
A storage unit for storing the amount of generated gas detected by the sensor unit in a storage space corresponding to the state information of the transformer with the storage space for each of the plurality of states; And
An analysis unit for generating a tree having a plurality of cases based on an amount of generation of at least one of the plurality of gases and analyzing information on the amount of generation of a plurality of gases stored in the storage unit to determine a status probability of the plurality of cases, ; And a gas analyzer.
The method according to claim 1,
And an output unit for applying the generated amount of the plurality of gases measured by the sensor unit to the tree to output a status probability of the transformer in real time.
The method according to claim 1,
Wherein the analyzer generates the tree according to a Twoing splitting rule or a Gini splitting rule and changes a splitting rule applied to generation of the tree when an input signal is input.
The method according to claim 1,
The analysis unit confirms the generation amount of the C2H2 gas among the plurality of different gases generated in the transformer, confirms the generation amount of the C2H4 gas, and confirms the generation amount of the CH4 gas or the H2 gas to determine the case to which the transformer belongs Wherein said tree is generated by said transformer.
5. The method of claim 4,
Wherein the analysis unit includes: a case in which the amount of generated C2H4 gas generated by the transformer is smaller than a first reference value and the amount of generated H2 gas generated by the transformer is greater than a second reference value; And the generation rate of the partial discharge in the transformer is 100% when the amount of H2 gas generated by the transformer is larger than a third reference value different from the second reference value, .

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