KR102053171B1 - Apparatus and mehtod for estimating partial discharge of electric trnsformer - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus for estimating a partial discharge amount of a transformer using a generation amount of oil in a gas may include: a detector configured to detect a generation amount of oil in an oil extracted from transformer oil and a flammable gas content rate of the oil in gas; A measuring unit measuring a partial discharge amount of the transformer; And a processor configured to estimate a risk factor of the transformer after analyzing a defect factor that causes internal discharge of the transformer and a magnitude of the defect factor based on the rising ratio of the oil in gas according to the partial discharge amount.

Description

Apparatus and method for estimating partial discharge amount of transformer using gas-induced amount of oil in gas {APPARATUS AND MEHTOD FOR ESTIMATING PARTIAL DISCHARGE OF ELECTRIC TRNSFORMER}

The present invention relates to an apparatus and method for estimating the partial discharge amount of a transformer using the amount of gas generated in each gas.

In general, partial discharge refers to any power supply system such as a power supply system installed in various industrial and power system substations, a high voltage switchgear, a high voltage cable, a transformer, a gas insulated switcher (GIS), a switch, a power supply system, and the like. As generically, the discharge generated in one part includes corona discharge generated near the tip of the electrode, creepage discharge generated along the surface of the insulator, void discharge generated in the voids in the insulator, and the like.

It is very important to detect the abnormality of power equipment and to monitor the degree of deterioration of insulators and to predict the time of repair, and this prediction management is possible by measuring and monitoring the partial discharge. For this purpose, various parts of power equipment such as high voltage cables, transformers, gas insulated switchgear (GIS), switchgear, power receiving equipment, high voltage board, low voltage board, motor control panel, switchboard, etc. Discharge measuring devices are used.

Due to the advancement of the industry, electric power demand is continuously increasing, and accidents are frequently caused by high voltage cables, transformers, GIS, power receiving facilities, and power facilities in electric power system. These accidents can lead to technical losses as well as economic losses. In particular, high-voltage power equipment is treated as a very important facility not only for the national infrastructure industry but also for civilian use.The accident of power equipment is a critical issue in the country that affects the information and communication network with the loss of life and direct loss of power facilities. . Various power devices such as transformers, cables, breakers, switchgear, high voltage cables, transformers, GIS, PT, CT, lightning arresters are installed in power equipment systems installed in power plants, substations and large factories. In addition, the local discharge phenomenon (partial discharge), which is caused by a decrease in the dielectric strength of an insulator, leads to an accident and has a fatal effect on the power supply system.

Republic of Korea Patent Publication No. 10-1103677 (Invention name: Inlet transformer and partial method detection method having a partial discharge detection function)

The present invention compares the partial discharge amount generated in the transformer and the rising rate for each gas in the oil generated in the insulating oil to accurately determine the internal discharge (insulation void, arc, etc.) that can cause a fatal accident in the transformer. An object of the present invention is to provide an apparatus and method for estimating the partial discharge amount of a transformer using the same.

According to an embodiment of the present invention, an apparatus for estimating a partial discharge amount of a transformer using a generation amount of oil in a gas may include: a detector configured to detect a generation amount of oil in an oil extracted from transformer oil and a flammable gas content rate of the oil in gas; A measuring unit measuring a partial discharge amount of the transformer; And a processor configured to estimate a risk factor of the transformer after analyzing a defect factor that causes internal discharge of the transformer and a magnitude of the defect factor based on the rising ratio of the oil in gas according to the partial discharge amount.

In one embodiment, the detector includes a high frequency current transformer (HFCT) sensor.

In one embodiment, the measuring unit measures the magnitude of the partial discharge amount based on the generated energy according to the oil-in-gas generation amount.

In one embodiment, the processing unit is an analysis unit for analyzing the type and size of the defect factors based on the flammable gas content of the oil-in-oil gas and the rising rate of the oil-in-gas according to the partial discharge amount; And a determination unit for determining the risk of the transformer based on the result of the analysis unit.

In one embodiment, the risk estimating unit estimates the risk by analyzing the rising rate of the oil in the gas and the pattern analysis of the Phasor Reserved Partial Discharge (PRPD) of the partial discharge signal, and then the risk is estimated according to the increase ratio / month of the main gas of the transformer. Characterized by classification.

According to an embodiment of the present invention, a method of estimating a partial discharge amount of a transformer using gas-induced gas discharge amount may include: a first step of detecting a gas-induced amount of insulating oil extracted from transformer oil and a flammable gas content rate of the oil-in-gas; A second step of measuring a partial discharge amount of the transformer; And a third step of estimating a risk factor of the transformer after analyzing a defect factor causing internal discharge of the transformer and the magnitude of the defect factor based on the rising ratio of the oil in gas according to the partial discharge amount. .

In an embodiment, the third step may include a defect factor analysis step of analyzing a type and a size of the defect factor based on a flammable gas content of the oil in gas and an increase rate of the oil in gas according to the partial discharge amount; And a risk determination step of determining a risk of the transformer based on a result value of the defect factor analysis step.

In one embodiment, the risk estimating step is to estimate the risk through the analysis of the rising rate of the oil in the gas and the pattern of the PDP (Phasor Reserved Partial Discharge) of the partial discharge signal, the risk according to the increase ratio / month of the main gas of the transformer May be classified by grade.

Using the apparatus and method for estimating the partial discharge amount of a transformer using the generation amount of oil in each gas according to an embodiment of the present invention, it is possible to determine the risk of the transformer by determining the generation energy of the gas in the transformer. Since it can be determined, it is possible to reduce the time and cost according to the maintenance work of the transformer for each defect cause to a minimum.

1 is an exemplary view showing an apparatus for estimating partial discharge amount of a transformer by using a generation amount for each gas in accordance with an embodiment of the present invention.
2 is a flowchart illustrating a method of estimating a partial discharge amount of a transformer by using a generation amount for each gas in accordance with an embodiment of the present invention.
FIG. 3 is a flowchart illustrating S730 shown in FIG. 2 in more detail.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. However, in describing the preferred embodiment of the present invention in detail, when it is determined that the detailed description of the related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, the same reference numerals are used throughout the drawings for parts having similar functions and functions.

In addition, throughout the specification, when a part is 'connected' to another part, it is not only 'directly connected' but also 'indirectly connected' with another element in between. Include. In addition, the term 'comprising' a certain component means that the component may further include other components, except for the case where there is no contrary description.

Hereinafter, an apparatus and method for estimating a partial discharge amount of a transformer using a generation amount for each gas in accordance with an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is an exemplary view showing an apparatus for estimating partial discharge amount of a transformer by using a generation amount for each gas in accordance with an embodiment of the present invention.

As shown in FIG. 1, the transformer partial discharge amount estimating apparatus 100 using the generation amount for each gas in accordance with an embodiment of the present invention includes a detector 110, a measurement unit 120, a processor 130, and a display unit ( 140).

In addition, the transformer partial discharge amount estimating apparatus 100 of the present invention may further include a load rate monitoring unit (not shown) for monitoring the load rate. The load factor is obtained as a percentage of the current load power to the capacity of the transformer.

In addition, the transformer partial discharge amount estimating apparatus 100 of the present invention may be constructed as a SCADA system (intensive remote monitoring control system) having a measurement structure. That is, a plurality of sensors in the detector 110 and the measurement unit 120 may be installed in the transformer, and may be configured to monitor the sensors by a local monitoring device in the middle.

The detection unit 110 and the measurement unit 120 may include a communication module communicating with the processing unit 130 or a local monitoring device therein.

The communication module may include RF (Radio Frequency), WI-FI (WIreless FIdelity), Bluetooth, Bluetooth, Zigbee, UWB (Ultra Wide Band), Wibro, HSDPA (High Speed Downlink Packet Access), etc. At least one of the methods may be used. In this case, the communication method is determined in consideration of the number of motion detection units installed in a specific space, the distance between the motion detection unit and the data collection unit, and the communication crosstalk, and such communication is a repeater (not shown) such as an access point (AP). It can also be via.

The detector 110 detects the amount of gas in the oil generated from the insulating oil extracted from the transformer oil and the flammable gas content rate of the oil in the oil.

On the other hand, the oil in the gas may be a gas generated by the energy inflow by partial discharge, heat, arc.

The measuring unit 120 performs a function of measuring the partial discharge amount of the transformer (M). More specifically, the measurement unit 120 measures the magnitude of the partial discharge amount based on the generated energy according to the oil-in-gas generation amount.

More specifically, the measurement unit 120 may be composed of a plurality of sensors corresponding to any one of a UHF (Ultra High Frequency) sensor, an Ultra High Frequency Antenna sensor, and a High Frequency Current Transformer (HFCT) sensor. have.

For example, when the sensor in the measuring unit 120 is a microwave antenna sensor, it is installed inside the housing of the transformer, and after detecting the microwave signal generated by the partial discharge in the transformer using the microwave of 300MHz to 3GHz, the detected microwave The partial discharge can be measured based on the signal.

In addition, when the sensor in the measuring unit 120 is a high frequency current sensor, it is possible to detect the electrical signal by mounting on the ground line of the transformer, and measure the partial discharge based on the detected signal. For example, when a partial discharge occurs inside a transformer, high frequency electromagnetic waves due to the discharge occur on the metal wall surface, causing surface current.

When the sensor in the measuring unit 120 is a UHF sensor, it may be configured as a microstrip patch type, has a frequency measuring range of 300 MHz to 3000 MHz, detects an electromagnetic discharge signal in a transformer, and detects a partial discharge based on this. Can be. The UHF sensor is installed inside or outside the transformer to detect the electromagnetic wave accompanying the partial discharge.

The UHF sensor may be either a built-in type sensor installed inside the transformer and detected, or an external type sensor installed outside the housing of the transformer.

When the sensor in the measuring unit 120 is a high frequency current transformer (HFCT) sensor, when a partial discharge occurs inside the transformer, a pulse type discharge current flows to the external ground line. Therefore, the HFCT (High Frequency Current Transformer) sensor detects the partial discharge pulse current flowing through the ground line.

The processor 130 estimates the risk of the transformer after analyzing the defects that cause internal discharge of the transformer and the magnitude of the defects based on the rising rate of the gas in accordance with the partial discharge amount. It performs the function. The defect may be an insulator void, an arc, or the like.

The processor 130 may include a defect analyzer 131 and a risk estimator 132.

The defect analysis unit 131 analyzes the type and size of the defect factors based on the flammable gas content of the oil in the gas and the rising ratio of the oil in the gas according to the partial discharge amount.

The risk estimator 132 may estimate the risk of the transformer based on the result value of the defect analyzer 131.

More specifically, the risk estimating unit 132 may estimate the risk through analysis of the rising rate (change amount) for each gas in the gas and the pattern of the PPD (Phasor Reserved Partial Discharge) of the partial discharge signal. At this time, the risk is classified into A ~ D class according to the increase ratio / month of main gas of transformer.

The risk estimating unit 132 evaluates (determined) the primary risk by the rate of increase (change amount) (ppm / day, ppm / month) for each oil in the gas, and converts and converts the converted energy for each oil in the gas. Secondary risks can be evaluated (determined) by comparing the partial discharge signals measured in step 120).

Here, the first evaluation (determination) is valid when evaluating the current degree of degradation of the transformer, but may be insufficient to evaluate the horizontal and risk.

Accordingly, in the present invention, the secondary evaluation (determination), that is, the conversion value converted from the decomposition energy for each oil in gas and the partial discharge signal measured by the measuring unit 120 are analyzed to determine whether the rapid deterioration due to arcing or the micro discharge. Determine if it is weak deterioration.

For reference, the increase in oil gas does not mean that the risk increases. This is because contact problems due to metal and gas increase due to unidentified substances may converge in the future.

Therefore, the risk estimator 132 disclosed in the present invention determines a void (insulation variation) by using a PDRS (Phasor Reserved Partial Discharge) analysis of the partial discharge signal. The above analysis can more accurately assess the risk of the transformer.

On the other hand, there is a problem that the risk can be changed depending on the coupling form of the insulation in the position where the partial discharge occurs. In this invention, in order to solve the above-mentioned problem, the risk of the transformer is divided into a plurality of grades and evaluated.

The risks are evaluated by combining the two judgment results and dividing them by A to D as a combination of the increase in oil in gas ratio / PRPD pattern and partial discharge amount.

For reference, the insulating oil of the transformer generates various gases for the cause of the defect in the transformer. For example, hydrogen (H2) and acetylene (C2H2) are representative gases that can determine the cause of a fault in a transformer. Hydrogen (H2) gas may represent a partial discharge of the transformer, acetylene (C2H2) gas is a gas that can represent the internal arc. That is, the generation rate of the oil in the gas varies according to the type and size of the defect source, which means that the flammable gas content rate and the increase ratio of the oil in the gas is variable.

For reference, the increase rate of the oil in gas is a representative value indicating the fault of the transformer, the sudden increase indicates a problem of the transformer.

In addition, the change of the oil in gas (H2, C2H2) by partial discharge or an arc is a typical gas which shows partial discharge amount. If the increase rate of this gas and the partial discharge measured in the HFCT increase similarly, the risk of the transformer increases.

Therefore, as described above, when the risk of the transformer is evaluated, it is possible to display the time when the change of the partial discharge pattern (void, floating, etc.) and the frequency of occurrence of the partial discharge is indicated, and thus the risk of the transformer can be more accurately determined. .

The display unit 140 displays a result value processed by the processor in 2D or 3D to the user.

The display unit 140 may be implemented as various types of displays such as a liquid crystal display (LCD), an organic light emitting diode (OLED) display, a plasma display panel (PDP), and the like. The display unit 140 may also include a driving circuit, a backlight unit, and the like, which may be implemented in the form of an a-si TFT, a low temperature poly silicon (LTPS) TFT, an organic TFT (OTFT), or the like.

2 is a flowchart illustrating a method of estimating a partial discharge amount of a transformer using a generation amount for each gas in accordance with one embodiment of the present invention.

FIG. 3 is a flowchart illustrating S730 shown in FIG. 2 in more detail.

As shown in FIG. 2, the transformer partial discharge amount estimating method (S700) using the amount of oil-in-oil generated according to an embodiment of the present invention includes S710 to S730.

The S710 may be a step of detecting a gas generation amount of the oil in the insulating oil extracted from the transformer oil and a flammable gas content rate of the oil gas.

S720 may be a step of measuring a partial discharge amount of the transformer.

The step S730 may be a step of estimating a risk factor of the transformer after analyzing a defect factor that causes internal discharge of the transformer and a magnitude of the defect factor based on the rising ratio of the oil in gas according to the partial discharge amount. .

More specifically, referring to FIG. 4, S730 may include a defect factor analysis step S731 and a risk estimation step S732.

The defect factor analysis step (S731) may be a step of analyzing the type and size of the defect factors based on the flammable gas content of the oil-in-oil gas and the rising ratio of the oil-in-gas according to the partial discharge amount.

The risk estimating step S732 may be a step of estimating a risk of the transformer based on a result value of the defect factor analysis step.

More specifically, the risk estimation step (S732) after estimating the risk through the analysis of the rising rate of the gas in the gas and the pattern of the PDP (Phasor Reserved Partial Discharge) of the partial discharge signal, according to the increase ratio / month of the main gas of the transformer The risk may be classified by grade.

For reference, the increase in oil gas does not mean that the risk increases. This is because contact problems due to metal and gas increase due to unidentified substances may converge in the future.

Therefore, the risk estimation step (S732) disclosed in the present invention is a step of determining the void (insulation variation) by using the PRPD (Phasor Reserved Partial Discharge) analysis of the partial discharge signal, the risk of the transformer through the above analysis Can be evaluated accurately

On the other hand, there is a problem that the risk can be changed depending on the coupling form of the insulation in the position where the partial discharge occurs. In this invention, in order to solve the above-mentioned problem, the risk of the transformer is divided into a plurality of grades and evaluated.

The risks are evaluated by combining the two judgment results and dividing them by A to D as a combination of increase in oil in gas ratio / PRPD pattern and partial discharge amount.

Therefore, using the transformer partial discharge amount estimating apparatus and method using the oil-in-gas generation amount according to an embodiment of the present invention, it is possible to easily evaluate the risk of the transformer through the oil-in-oil generated energy of the transformer.

In addition, it is possible to accurately determine the type of the cause of the defect of the internal occurrence of the transformer, through which the maintenance of the transformer by the coupling cause is possible has the advantage of saving the cost and time according to the maintenance work.

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 a memory.

Here, the processing unit may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application specific integrated circuit (ASIC), field programmable gate arrays (FPGA), and the like. It may have a plurality of cores.

The memory may be volatile memory (eg, RAM, etc.), nonvolatile memory (eg, ROM, flash memory, etc.), or a combination thereof.

In addition, the computing device may 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 operating systems, application programs, and the like. Computer readable instructions stored in the storage may be loaded into the memory for execution by the processing unit.

On the other hand, the computing device may include communication connection (s) to enable communication with other devices (eg, temperature measuring unit, zero point correction unit) via a 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 another interface for connecting a computing device to another computing device. . In addition, the communication connection (s) can include a wired connection or a wireless connection.

Each component of the computing device described above may be connected by various interconnections such as a bus (eg, peripheral component interconnect (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.), and a network May be interconnected by

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

Although the present invention has been described in more detail with reference to Examples, the present invention is not necessarily limited to these Examples, and various modifications can be made without departing from the spirit of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by the embodiments. The protection scope of the present invention should be interpreted by the claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

100: transformer partial discharge amount estimation device
110: detection unit 120: measurement unit
130: processing unit 131: defect factor analysis unit
132: risk estimation unit
140: monitoring unit

Claims (8)

A detection unit for detecting the amount of gas in the oil of the insulating oil extracted from the transformer oil and the flammable gas content of the oil in the oil;
A measuring unit measuring a partial discharge amount of the transformer; And
And a processor configured to estimate a risk of the transformer after analyzing a defect factor that causes an internal discharge of the transformer based on the rising ratio of the oil in gas according to the partial discharge amount.
The processing unit,
A defect factor analysis unit that analyzes the type and size of the defect factors using a flammable gas content of the oil in gas and a rising ratio of the oil in gas; And
Based on the analysis result of the defect factor analysis unit, the first risk of the transformer is estimated using the rising ratio of the oil in gas, and the partial discharge amount is compared with the converted value converted from the decomposition energy of the oil in gas. Transformer partial discharge amount estimating apparatus using the amount of oil-in-oil generation including a risk estimator for estimating the secondary risk of the transformer.
The method of claim 1,
The measuring unit,
Transformer partial discharge amount estimating apparatus using the amount of gas-in-oil generation including a high frequency current transformer (HFCT) sensor.
The method of claim 1,
The measuring unit,
Transformer partial discharge amount estimation device using the generation amount for each gas to measure the magnitude of the partial discharge amount based on the generated energy according to the oil-in-gas generation amount.
delete The method of claim 1,
The risk estimation unit,
After estimating the primary risk and the secondary risk by analyzing the PPD (Phasor Reserved Partial Discharge) pattern, the oil level classifies the primary risk and the secondary risk according to the increase ratio / month of the transformer main gas. Transformer partial discharge amount estimator using gas generation amount.
A first step of detecting an amount of gas in oil of the insulating oil extracted from a transformer oil and a flammable gas content rate of the oil in gas;
A second step of measuring a partial discharge amount of the transformer; And
A third step of estimating a risk factor of the transformer after analyzing a defect factor that generates an internal discharge of the transformer based on the rising ratio of the oil in gas according to the partial discharge amount,
The third step,
A defect factor analysis step of analyzing the type and size of the defect factor by using the flammable gas content ratio of the oil in gas and the rising ratio of the oil in gas; And
On the basis of the analysis result of the defect factor analysis step, the first risk of the transformer is estimated using the rising ratio of the oil in gas, and the partial discharge amount is compared with the converted value converted from the decomposition energy of the oil in gas. A method for estimating the partial discharge amount of a transformer using a generation amount for each gas, including a risk estimating step of estimating a secondary risk of the transformer.
delete The method of claim 6,
The risk estimation step,
Estimating the first risk and the second risk by analyzing a PDRS (Phasor Reserved Partial Discharge) pattern, and classifying the first risk and the second risk according to an increase ratio / month of a main transformer gas. A method for estimating the partial discharge amount of a transformer using the amount of phosphorus in gas.

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