KR102053172B1 - Apparatus for detecting abnormality of mold transformer - Google Patents

Abstract

An object of the present invention is to provide an abnormality detection apparatus for a mold transformer capable of detecting real-time state monitoring and deterioration of the mold transformer.
Mold transformer abnormal state detection apparatus according to an embodiment of the present invention is installed in the enclosure containing the transformer body is a thermal image sensor for constantly measuring the external temperature of the transformer body, the thermal image sensor is the transformer The predetermined region of the body is divided into a plurality of unit regions, and the temperature for each unit region is measured.

Description

Abnormality detection device of mold transformer {APPARATUS FOR DETECTING ABNORMALITY OF MOLD TRANSFORMER}

The present invention relates to an abnormality detection apparatus of a mold transformer, and more particularly, to an abnormality detection apparatus of a mold transformer capable of performing a diagnosis of deterioration occurring in a mold transformer.

Mold transformer is a transformer manufactured by molding heat-resistant epoxy resin to eliminate the risk of fire and explosion in case of accident, which is the main disadvantage of inflow transformer.

In general, a mold transformer is composed of a conductor winding, an insulator (epoxy), a core and various supports.

However, such a mold transformer may cause an initial partial discharge due to poor insulation strength due to poor manufacturing or deterioration of the insulation, and according to the use time, such partial discharge may further weaken the dielectric strength and may lead to an unexpected accident. .

In particular, the mold transformer may cause defects such as voids or foreign matters in the insulation molding manufacturing process, and when a long-term use causes partial discharge, which is electrical deterioration, progresses to an insulation breakdown accident.

However, the mold transformer has a disadvantage in that it is not easy to accurately measure and monitor the internal degradation and partial discharge due to the structural characteristics of the winding surrounded by the insulator. Therefore, in order to diagnose the state of the mold transformer, the inspector diagnosed the state of the mold transformer in case of maintenance period or deterioration problem by using the connected partial discharge sensor and the heat measuring equipment. There is a problem that does not respond properly, there was a problem that accurate life prediction of the mold transformer is impossible.

In addition, the conventional connected partial discharge sensor has the disadvantage that can measure the partial discharge, but can not estimate the location of the partial discharge.

The present invention has been made to solve at least some of the problems of the prior art, and as an aspect, an object of the present invention is to provide a mold transformer abnormality detection device capable of detecting the real-time state monitoring and deterioration of the mold transformer. .

As an aspect for achieving at least some of the above object, the present invention includes a thermal image sensor which is installed inside the enclosure in which the transformer body is housed to constantly measure the external temperature of the transformer body, the thermal image sensor The temperature of each unit region is measured by dividing a predetermined region of the transformer body into a plurality of unit regions, and the thermal image sensor is capable of a tilting operation to measure the plurality of unit regions for each unit region. The sensor includes a first thermal image sensor, a second thermal image sensor, and a third thermal image sensor, and each of the first, second, and third thermal image sensors corresponds one-to-one to a winding of each phase provided in the transformer body. Each of the first, second and third thermal imaging sensors is assigned a corresponding winding and winding peripheral structure to the preset area. By dividing the receiving area into a plurality of unit areas provides a mold transformer failure detecting device for measuring a unit of each region temperature.

In an embodiment, the thermal sensor may sequentially measure temperatures of each of the plurality of unit regions according to a preset normal period.

In addition, in an embodiment, when a deterioration region having a temperature change amount greater than or equal to a predetermined normal value occurs among the plurality of unit regions, the thermal image sensor may set the deterioration region and the unit region around the deterioration region in a predetermined abnormal period. Can be measured accordingly.

In addition, in one embodiment, the abnormal period may be set shorter than the normal period.

In addition, in one embodiment, the normal period may be set to a multiple of the load variation period of the transformer.

delete

delete

In addition, in one embodiment, the thermal image sensor may further include a fourth thermal image sensor provided on the upper or lower portion of the inside of the enclosure for detecting a change in the surface temperature of the transformer body.

Further, in one embodiment, the thermal image sensor may be configured as an infrared array sensor capable of imaging the temperature distribution of the plurality of unit areas.

In addition, the mold transformer abnormality detection apparatus according to an embodiment of the present invention further comprises a data processing unit for receiving and analyzing the temperature distribution data of the transformer body measured by the thermal image sensor, the data processing unit the plurality of units When a deterioration zone with a temperature change amount greater than or equal to a predetermined normal value occurs in the zone, an alarm for an abnormal state occurrence may be displayed on the transformer monitoring system or the terminal.

Further, in one embodiment, the data processing unit calculates and calculates the life expectancy of the transformer by substituting the temperature distribution data of the transformer body measured by the thermal image sensor in the Arrenius theory of IEEE Std C57.12.56-1986. The expected life of the transformer can be displayed on the transformer monitoring system or terminal.

In addition, the mold transformer abnormality detection apparatus according to an embodiment of the present invention further includes a current sensor for measuring the magnitude of the operating current supplied to the transformer, the data processing unit, the temperature distribution data and the current sensor is measured The degradation of the transformer body may be detected by comparing the normal transformer temperature data due to the change of the operating current with the temperature distribution data based on the magnitude of one operating current.

In addition, the mold transformer abnormality detection apparatus according to an embodiment of the present invention further includes a temperature resistance temperature sensor for measuring the internal temperature of the transformer body, the data processing unit, the transformer measured by the temperature resistance temperature sensor The internal temperature data of the body and the temperature distribution data may be compared to detect whether the transformer body is deteriorated.

According to one embodiment of the present invention having such a configuration, it is possible to measure the temperature of the mold transformer in real time, it is possible to obtain the effect that can accurately detect the degradation of the mold transformer by comprehensively comparing the measured values.

1 is a side view schematically showing an example in which a mold transformer abnormality detecting apparatus according to an embodiment of the present invention is applied to a mold transformer.
FIG. 2 is a front view schematically illustrating an example in which the mold transformer abnormality detection apparatus illustrated in FIG. 1 is applied to a mold transformer.
3 is a view illustrating an example for implementing the directivity of the partial discharge detection sensor included in the mold transformer abnormality detection apparatus shown in FIG.
4 is a view schematically illustrating a method of estimating a defect position through a mold transformer abnormality detecting apparatus according to an embodiment of the present invention.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Also, the singular forms in this specification include plural forms unless the context clearly indicates otherwise.

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

1 and 2, a mold transformer abnormality detecting apparatus according to various embodiments of the present disclosure will be described.

<First Embodiment>

First, the mold transformer abnormality detecting apparatus according to the first embodiment of the present invention includes a plurality of thermal image sensors 111 to 114, a current sensor (not shown), a resistance temperature sensor (not shown), and a data processor (not shown). It may include.

The thermal image sensors 111 to 114 may be installed inside the enclosure 20 in which the transformer body 10 is accommodated to constantly measure the external temperature of the transformer body 10. Here, the transformer body 10 corresponds to the core of a transformer including an iron core, a low voltage winding, a high voltage winding, a clamp, a molding layer, and a winding terminal.

In one embodiment, the thermal image sensor 111 to 114 may be configured as an infrared array sensor capable of imaging the temperature distribution of the photographing site by photographing a portion of the exterior of the transformer body 10. Here, the infrared array sensor may take infrared light emitted from the measurement object and output temperature distribution data.

For example, the thermal image sensors 111 to 114 may be configured to measure a temperature within a range of 0 ° C. to 200 ° C., but are not limited thereto.

In addition, the thermal sensors 111 to 114 may transmit the measured temperature distribution data to a data processor to be described later.

Meanwhile, in one embodiment, each of the plurality of thermal image sensors 111 to 114 may divide the preset region of the transformer body 10 into a plurality of unit regions to measure temperature for each unit region.

That is, since the range in which the one thermal image sensor 111 to 114 can be measured in a fixed state is limited, the one thermal image sensor 111 to 114 includes a plurality of units in a wide monitoring area allocated to the one. It can be configured to divide the area and measure the temperature per unit area through time control.

To this end, in one embodiment, the thermal imaging sensors 111 to 114 are configured to be tilted in the vertical direction and the left and right directions to measure a plurality of unit regions as shown in FIGS. 1 and 2. Can be.

Since the thermal imaging sensors 111 to 114 capable of the tilting operation can adjust the photographing angle as described above, the predetermined wide area can be divided into a plurality of unit areas and measured.

Here, the mechanical configuration for implementing the tilting operation of the thermal image sensor (111 ~ 114) is not particularly limited, and various well-known automatic rotating structure can be applied.

Meanwhile, in one embodiment, the thermal image sensors 111 to 114 may include the first thermal image sensor 111, the second thermal image sensor 112, the third thermal image sensor 113, and the fourth thermal image sensor 114. ) May be included.

Here, each of the first thermal image sensor 111, the second thermal image sensor 112, and the third thermal image sensor 113 may be disposed in a one-to-one correspondence with a winding of each phase provided in the transformer body 10. .

Each of the first thermal image sensor 111, the second thermal image sensor 112, and the third thermal image sensor 113 may be assigned a winding of a corresponding phase and a structure around the winding as the preset region, and the allocated region. As described above, the temperature of each unit region can be measured by dividing into a plurality of unit regions.

In addition, the fourth thermal image sensor 114 may be provided at the upper or lower portion of the enclosure 20 to measure the surface temperature of the transformer body 10 and the temperature around the transformer body 10.

The fourth thermal image sensor 114 may be provided to detect temperature changes occurring inside the enclosure 20 due to rodents and foreign substances that may invade the interior of the enclosure 20 and external environmental factors.

Meanwhile, in one embodiment, the thermal image sensors 111 to 114 may sequentially measure the temperatures of each of the plurality of unit regions according to a preset normal period.

In one embodiment, the normal period may be set to a multiple of the load variation period of the transformer. For example, if the load fluctuation of the transformer is detected in a 15-minute cycle, if the load fluctuation is not severe, one thermal image sensor (111 ~ 114) is configured to measure the temperature of the entire preset area in a cycle of more than twice the 15 minutes If the load fluctuation is severe, one thermal image sensor (111 ~ 114) may be configured to measure the temperature of the entire predetermined region in 15-minute intervals according to the load fluctuation period.

In addition, when a deterioration region having a temperature change amount greater than or equal to a predetermined normal value occurs among the plurality of unit regions, the thermal image sensors 111 to 114 are configured to measure the deterioration region and the unit region around the deterioration region according to a preset abnormal period. Can be. Here, the abnormal period is preferably set shorter than the normal period.

For example, when the deterioration zone occurs when the normal cycle is set to twice the load variation cycle of 15 minutes, the temperature may be measured in the deterioration zone and the unit regions around the deterioration zone in the 15-minute cycle of the load variation cycle. As described above, the operation of measuring some of the unit areas in a shorter period among the plurality of unit areas may be implemented by adjusting the measurement priority of the thermal image sensors 111 to 114. That is, the deterioration area and the unit areas around the deterioration area may be measured twice while the area in which degradation does not occur is measured once.

For reference, the normal value of the temperature change amount may be set according to the mold transformer temperature rise regulation.

The current sensor (not shown) is installed in the form of a clamp on the secondary current side of the CT (Current Transformer) for the current measurement is installed on the primary side or secondary side of the transformer, it is possible to measure the magnitude of the operating current supplied to the transformer Can be. Such a current sensor may transmit the magnitude of the measured operating current to a data processor to be described later.

The RTD temperature sensor (not shown) may measure the internal temperature of the transformer body 10. For example, the resistance temperature sensor is composed of a contact type temperature sensor provided inside the low-voltage winding of each phase provided in the transformer body 10, if the secondary winding voltage is more than 1,000V, the air of the upper portion of each phase winding The flow can be configured in a smooth position. The RTD temperature sensor may measure an amount of temperature change in the transformer body 10 according to a change in the magnitude of the operating current, and transmit the measured temperature change amount in the transformer body 10 to a data processing unit to be described later.

The data processor (not shown) may receive and analyze surface temperature distribution data of the transformer body 10 measured by the thermal sensors 111 to 114.

In one embodiment, the data processing unit may display an abnormal state occurrence alarm in the transformer monitoring system or the terminal when a deterioration region having a temperature change amount greater than or equal to a predetermined normal value occurs among the plurality of unit regions.

In addition, the data processor may generate a temperature distribution map of the transformer body 10 as illustrated in FIG. 4 based on the temperature distribution data. Here, the temperature change map displays the amount of change in temperature for each unit region.

Further, in one embodiment, the data processor predicts the life of the transformer by substituting the temperature distribution data of the transformer body 10 measured by the thermal image sensors 111 to 114 into the Arenius theory of IEEE Std C57.12.56-1986. The calculations can be carried out and the expected lifetime of the transformer derived by the calculations can be displayed on the transformer monitoring system or terminal.

For example, if the maximum temperature of the transformer operating temperature is set to 55 ℃, the life expectancy of the transformer through the Arrhenius theory of IEEE Std C57.12.56-1986 can be calculated by the following equation (1).

Where life (h) is the expected life and T is the absolute hot spot temperature (transformer ambient temperature + transformer winding temperature + hot spot correction temperature + 273 ° C).

In addition, in one embodiment, the data processing unit based on the temperature distribution data measured by the thermal image sensor (111 ~ 114) and the magnitude of the operating current measured by the current sensor based on the normal transformer temperature data and the measured temperature by the change of the operating current By comparing the distribution data, it is possible to detect whether the transformer body 10 is deteriorated.

For example, the data processor combines the temperature of the transformer body 10 measured by the thermal sensors 111 to 114 with the magnitude of the operating current measured by the current sensor, thereby operating the temperature rise of the transformer body 10. It is possible to determine whether the normal temperature rise due to the current rise or the abnormal temperature rise due to the deterioration.

At this time, if it is determined that the degradation has occurred, the data processing unit may display an alarm of an abnormal state occurrence in the transformer monitoring system or the terminal as described above, and the user may display an image of the temperature distribution map output on the screen or the terminal screen of the transformer monitoring system. Through this, the position of the deterioration area can be identified.

Also, in one embodiment, the data processor compares the temperature data inside the transformer body 10 measured by the RTD sensor with the temperature distribution data outside the transformer body 10 measured by the thermal imaging sensors 111 to 114. By detecting the degradation of the transformer body 10 can be detected.

For example, the data processing unit may determine a case where the operating current increases and the temperature inside the transformer body 10 rises but there is no temperature change outside the transformer body 10 as a normal temperature change according to the rise of the driving current. There is no change in the magnitude of the operating current and the temperature inside the transformer body 10, but the temperature change of the high-voltage lead-out portion located in the upper and lower parts of the transformer body 10 and the voltage change tap switching bolt portion located in the middle and the transformer body 10 The case where the temperature of the outer surface rises can be judged as the occurrence of degradation due to an abnormal state.

Mold transformer abnormality detection apparatus according to the first embodiment of the present invention as described above is the abnormality of the transformer body 10 in real time using the thermal image sensor (111 ~ 114), the current sensor and the temperature resistance temperature sensor installed in the transformer The condition can be monitored and the degradation of the transformer can be detected by integrating the measured values measured by each sensor.

In addition, the mold transformer abnormality detection apparatus according to the first embodiment of the present invention is configured so that one thermal image sensor (111 ~ 114) can be photographed several parts of the transformer body (10) while the tilting operation, for the installation space It has the advantage of low constraint and reduced cost of the device.

In addition, the mold transformer abnormality detecting apparatus according to the first exemplary embodiment of the present invention has an advantage of accurately detecting a deterioration generation region through a temperature sensing sensor including four channels of the first to fourth thermal image sensors 114. .

Second Embodiment

The mold transformer abnormality detecting apparatus according to the second exemplary embodiment of the present invention may include a plurality of partial discharge detection sensors 121 and 122, a current sensor (not shown), and a data processor (not shown).

Here, the plurality of partial discharge detection sensors 121 and 122 are installed inside the enclosure 20 as illustrated in FIGS. 1 and 2 to detect radio signals generated by partial discharge generated in the transformer body 10. Can be.

In addition, the current sensor can measure the operating current supplied to the transformer as described above in the description of the first embodiment of the present invention.

The data processor may determine whether partial discharge occurs based on the partial discharge data detected by the plurality of partial discharge detection sensors 121 and 122 and the operating current measured by the current sensor.

Meanwhile, in one embodiment, the partial discharge detection sensors 121 and 122 may include an ultra high frequency (UHF) antenna 120a, and the partial discharge detection sensors 121 and 122 may be partially discharged. It may be configured to measure a frequency range of 0.3GHz to 1.8GHz, which is a frequency band of the radio wave signal generated by the present invention, but is not limited thereto.

In addition, in one embodiment of the present invention, the plurality of partial discharge detection sensors 121 and 122 may be disposed at different positions as shown in FIG.

As described above, the partial discharge detection sensors 121 and 122 disposed at different positions may detect the partial discharge generated in the transformer body 10 at different positions to enable tracking of the position of the partial discharge.

That is, the data processor may calculate the position of the partial discharge generated in the transformer body 10 based on the partial discharge data detected by each of the plurality of partial discharge detection sensors 121 and 122.

In an embodiment, the partial discharge detection sensors 121 and 122 may be configured of the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122.

Here, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 are preferably disposed at positions where each of the three phase windings of the transformer body 10 can be sensed independently of each other.

To this end, as an example, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 are disposed in the front-rear direction or the left-right direction on the top or bottom of the inside of the enclosure 20, as shown in FIG. It may be, but is not limited thereto.

In such a configuration, the data processor generates a partial discharge using a triangulation method based on the position value of the maximum signal magnitude of the partial discharge detected by the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122. The position can be calculated accurately.

In addition, in one embodiment, the data processor generates a partial discharge distribution map of the transformer body 10 based on the partial discharge data detected by the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122. can do. Here, the generated partial discharge distribution map may be imaged and output on the screen of the transformer monitoring system or the terminal screen.

On the other hand, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 may be configured to enable the tilting operation to enable the direction of the receiver 125b for receiving a radio signal. Through this, each of the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 may detect radio signals from various parts of the transformer body 10.

In addition, in one embodiment, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 may be disposed in a direction other than the direction in which the receiver 125b of the front end faces, that is, the side of the receiver 125b. It may be configured to have a directivity (Direction compatibility) to minimize the amount of detection of radio waves flowing from the rear.

In order to implement such superdirectionality, in one embodiment, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 may include the receiver 125b of the UHF antenna 125A as shown in FIG. 3. It may be provided with a radio wave shield member 127 surrounding the side and rear of the.

The radio wave shielding member 127 is made of a material having a radio wave shielding capability surrounding the side and the rear except for the receiver 125b of the UHF antenna 125A, so that the first partial discharge detection sensor 121 and the second partial discharge detection sensor Directivity can be given to 122.

Here, in the case where diffuse reflection occurs in the radio wave shielding member 127, a problem may occur in which the diffusely reflected radio waves are received by other partial discharge detection sensors 121 and 122, and thus, the partial discharge detection sensors 121 and 122 may be used. When the noise signal is received, the partial discharge detection accuracy is lowered.

Therefore, in one embodiment, the radio wave shielding member 127 is preferably configured in a polyhedral form to minimize diffuse reflection. For example, the radio wave shielding member 127 may be configured in a rectangular parallelepiped form that exposes the receiver 125b of the UHF antenna 125A as shown in FIG. 3, but is not limited thereto.

As described above, the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 having the super-directional characteristics are capable of distinguishing noise signals (field noise and radio wave signals from other power devices) generated from the outside. Excellent has the advantage.

On the other hand, the data processing unit may generate the partial discharge distribution map by combining the signal size and pattern of the radio wave for each part of the transformer body 10, and calculate the size and the number of discharges of the partial discharge by combining the partial discharge distribution map by time By doing so, it is possible to analyze the tendency of partial discharge.

In addition, the data processor may determine whether an accident occurred in the transformer body 10 by using the trend data of the partial discharge.

In addition, since the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 have directivity as described above, a portion having a relatively large signal size of radio waves can be detected.

That is, the shorter the radio wave reaching distance, the greater the magnitude of the signal, so that each of the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 can detect a position where the signal of the electric wave is detected the largest. have.

In this case, the data processor may perform partial discharge in the transformer body 10 using triangulation based on the maximum signal magnitude position value detected by each of the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122. You can track exactly where it happened.

Meanwhile, the data processor generates partial discharge generation trend data based on the magnitude and number of discharges of the partial discharges detected by the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122, and generates a partial discharge trend. The type of the partial discharge (particle, corona, void, floating, etc.) may be determined by comparing the data with the preset partial discharge pattern data.

The data processor may display an abnormal state occurrence alarm in the transformer monitoring system or the terminal when the plurality of partial discharge detection sensors 121 and 122 detect the partial discharge.

Also, in one embodiment, the data processor may increase the accuracy of determination of partial discharge by comparing the variation of the partial discharge signal measured by the partial discharge detection sensors 121 and 122 with the variation of the noise signal due to the change of the operating current. That is, the data processor may determine whether the variation of the partial discharge signal is a partial discharge due to a defect based on the variation of the noise signal.

In general, the magnitude of the driving current has a low correlation with the change of the partial discharge signal and the frequency of the driving current has a high correlation with the change of the partial discharge signal. Accordingly, the data processor may accurately determine whether the partial discharge is caused by a defect by comparing the variation of the noise signal due to the change of the operating current with the variation of the partial discharge signal.

In addition, the data processor may display the determined size and position of the partial discharge on the screen of the central monitoring system or the screen of the terminal.

As described above, the mold transformer abnormality detecting apparatus according to the second exemplary embodiment of the present invention can accurately determine the position of the partial discharge through the plurality of partial discharge detection sensors 121 and 122 that operate in a tilting direction with a super directivity. Has an advantage.

Third Embodiment

Mold transformer abnormality detection apparatus according to a third embodiment of the present invention includes the plurality of thermal image sensor (111 ~ 114) and the plurality of partial discharge detection sensor (121, 122), the current sensor, the temperature resistance temperature It may include a sensor and a data processor.

Here, the current sensor and the RTD temperature sensor is substantially the same as the above-described current sensor and RTD temperature sensor in the description of the first and second embodiments of the present invention and a detailed description thereof will be omitted.

In addition, the configuration and operation of the plurality of thermal image sensors 111 to 114 and the plurality of partial discharge detection sensors 121 and 122 are substantially the same as those described above in the description of the first and second embodiments of the present invention. Since the detailed description of the configuration and operation are the same, the following description is omitted, and partial discharge is detected by combining values measured by the plurality of thermal image sensors 111 to 114 and the plurality of partial discharge detection sensors 121 and 122. The operation will be described.

In the mold transformer abnormality detecting apparatus according to the third embodiment of the present invention, the external temperature and the partial discharge of the transformer body 10 are provided through the plurality of thermal image sensors 111 to 114 and the plurality of partial discharge detection sensors 121 and 122. Can be measured simultaneously in real time.

In one embodiment, the plurality of thermal image sensors 111 to 114 may include a first thermal image sensor 111, a second thermal image sensor 112, and one-to-one correspondence to a winding of each phase provided in the transformer body 10. The third thermal image sensor 113 and the fourth thermal image sensor 114 provided on the upper or lower portion of the inside of the enclosure 20 may be included.

In addition, in one embodiment, the partial discharge detection sensors 121 and 122 may include a first partial discharge detection sensor 121 and a second partial discharge detection sensor 122 disposed at different positions.

In such a configuration, the data processor may generate a temperature distribution map of the transformer body 10 by combining the temperature data for each part of the transformer body 10 measured by the thermal image sensors 111 to 114, and the temperature distribution. The analysis of the map may determine whether local overheating occurs in the transformer body 10 and determine the location of the local overheating.

In addition, the data processor may generate a partial discharge distribution map by combining the partial discharge signal sizes of the parts of the transformer body 10 measured by the partial discharge detection sensors 121 and 122.

As shown in FIG. 3, the data processor compares the temperature distribution map and the partial discharge distribution map to detect the occurrence time, location, and type of a defect occurring in the transformer body 10.

Here, the generation position of the partial discharge, as described above in the second embodiment, the up-down and left-right tilting positions of the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122 and the measured partial discharge value are measured. Can be obtained through triangulation as a basis.

In addition, the type of partial discharge is a preset portion of the partial discharge generation trend data generated based on the magnitude of the partial discharge and the number of discharges detected by the first partial discharge detection sensor 121 and the second partial discharge detection sensor 122. It can be detected in comparison with the discharge pattern data.

In addition, the data processor determines whether the temperature change and the partial discharge occurring in the transformer body 10 are caused by a change in the operating state of the transformer or a change in defect based on the magnitude and frequency of the operating current measured by the current sensor. You can judge.

For reference, the temperature change of the transformer body 10 has a high correlation with the magnitude of the driving current, whereas the magnitude change of the partial discharge has a high correlation with the frequency change of the driving current and has a low correlation with the magnitude of the driving current.

Therefore, the mold transformer abnormality detecting apparatus according to the third exemplary embodiment of the present invention can accurately calculate the defects occurring in the transformer body 10 and the life of the transformer body 10 based on the change in the operating current.

In addition, when it is determined that the change in temperature and the partial discharge occurring in the transformer body 10 are caused by a defect, the data processor may display an abnormal state occurrence alarm in the transformer monitoring system or the terminal.

In addition, the data processing unit may be obtained through the internal temperature data of the transformer body 10 measured by the RTD sensor, the change of the operating current measured by the current sensor, and the measured values of the first to fourth thermal image sensors 111 to 114. The degradation distribution of the transformer body 10 may be detected by comparing the partial discharge distribution map obtained through the temperature distribution map and the measured values of the first and second partial discharge detection sensors 121 and 122.

For example, the data processor is determined to be deterioration due to a defect when there is no change in the operating current and the temperature inside the transformer body 10 has not changed but a partial discharge occurs and the temperature of a part of the transformer body 10 rises. When the change amount of the partial discharge and the change amount of the temperature of the outside of the transformer body 10 exceed the reference value compared to the change amount of the operating current and the change of the temperature inside the transformer body 10, it may be determined that the deterioration caused by the defect occurs. On the contrary, even if the temperature inside the transformer body 10 rises, if there is no partial discharge change amount and the temperature change amount inside the transformer body 10, it may be determined as a normal state according to the change of the operating current.

Further, in one embodiment, the data processing unit IEEE Std C57 temperature distribution data of the transformer body 10 measured by the first to fourth thermal image sensors 111 to 114 as described above in the description of the first embodiment Substituting the Arrhenius theory of .12.56-1986, the transformer life prediction calculations can be carried out and the life expectancy of the transformer derived by the calculation can be displayed on the transformer monitoring system or terminal.

Mold transformer abnormality detection apparatus according to a third embodiment of the present invention as described above is the transformer body 10 in real time through a plurality of thermal image sensor (111 ~ 114) and a plurality of partial discharge detection sensor (121, 122) It is possible to monitor the degradation and predict the lifespan of the transformer by combining the operating current measured by the current sensor and the temperature change in the transformer body 10 measured by the RTD temperature sensor, and comprehensively judging various variables. It is advantageous in that it is possible to accurately determine whether the change is overheating in a normal operating state or abnormal deterioration due to a defect.

While the invention has been shown and described with respect to particular embodiments, it will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention as set forth in the claims below. I want to make it clear.

10: transformer body
20: enclosure
111: first thermal image sensor
112: second thermal sensor
113: third thermal image sensor
114: fourth thermal image sensor
121: first partial discharge detection sensor
122: second partial discharge detection sensor
125a: UHF antenna
125b: receiver
127: radio wave shield member

Claims (13)

A thermal image sensor installed inside the enclosure in which the transformer body is accommodated and constantly measuring an external temperature of the transformer body,
The thermal image sensor divides a predetermined region of the transformer body into a plurality of unit regions to measure the temperature for each unit region,
The thermal image sensor may be tilted to measure the plurality of unit areas for each unit area.
The thermal image sensor includes a first thermal image sensor, a second thermal image sensor, and a third thermal image sensor,
Each of the first, second and third thermal image sensors is disposed to correspond one-to-one to the winding of each phase provided in the transformer body,
Each of the first, second, and third thermal image sensors is configured to receive a corresponding winding and a structure around the winding as the predetermined area, and to divide the allocated area into a plurality of unit areas to measure temperature for each unit area. Transformer abnormality detection device.
The method of claim 1,
The thermal image sensor abnormality detection device for a mold transformer for sequentially measuring the temperature of each of the plurality of unit areas according to a predetermined normal period.
The method of claim 2,
In the case where a deterioration region in which the temperature change amount is greater than or equal to a predetermined normal value occurs in the plurality of unit regions
And the thermal image sensor measures the deterioration area and the unit area around the deterioration area according to a preset abnormal period.
The method of claim 3,
And wherein the abnormal period is shorter than the normal period.
The method of claim 2,
Wherein the normal period is set to a multiple of the load variation period of the transformer.
delete delete The method of claim 1,
The thermal image sensor is a mold transformer abnormality detection device further comprises a fourth thermal image sensor provided in the upper or lower portion of the inside of the enclosure for detecting a change in the surface temperature of the transformer body.
The method of claim 1,
The thermal image sensor is a mold transformer abnormality detection device consisting of an infrared array sensor capable of imaging the temperature distribution of the plurality of unit areas.
The method of claim 1,
Further comprising a data processing unit for receiving and analyzing the temperature distribution data of the transformer body measured by the thermal image sensor,
And the data processor is configured to display an abnormal state occurrence alarm in a transformer monitoring system or a terminal when a deterioration region having a temperature change amount greater than or equal to a predetermined normal value occurs in the plurality of unit regions.
The method of claim 10,
The data processing unit substitutes the temperature distribution data of the transformer body measured by the thermal image sensor to the Arrenius theory of IEEE Std C57.12.56-1986 to perform the life prediction calculation of the transformer, and recalls the calculated life expectancy of the transformer. Mold transformer abnormality detection device displayed on transformer monitoring system or terminal.
The method of claim 10,
Further comprising a current sensor for measuring the magnitude of the operating current supplied to the transformer,
The data processor detects whether the transformer body is deteriorated by comparing normal temperature data of the transformer with the temperature distribution data due to the change of the operating current based on the magnitude of the operating current measured by the temperature distribution data and the current sensor. Mold transformer abnormality detection device.
The method of claim 10,
Further comprising a temperature resistance temperature sensor for measuring the internal temperature of the transformer body,
The data processing unit, the mold transformer abnormality detection device for detecting whether the degradation of the transformer body by comparing the internal temperature data of the transformer body and the temperature distribution data measured by the temperature resistance temperature sensor.

Images