KR20100061309A - Badness insulator search device and method thereof - Google Patents

Abstract

PURPOSE: A fault insulator discriminator and a method thereof are provided to determine the insulation damaged crack by comparing the value of the leakage current of the wet state with the value of the leakage current of dehydrated state. CONSTITUTION: A transformer(2) changes power source(1) supplying power into 100kV at maximum. An insulator(6) is connected to the output terminal of the transformer. A CT(Current Transformer) sensor(3) measures the leakage current applied in the insulator. An oscilloscope(4) analyzes the leakage current detected in the CT sensor. A computer(5) analyzes the result by receiving the waveform information of the oscilloscope. A fog chamber controls the temperature and the humidity in the experiment environment by applying a voltage to the insulator. In order to measure the leakage current flowing into the insulator, the CT sensor is installed in the upper end grounded side of the insulator string.

Description

Bad insulator detection device and method {Badness insulator Search device and method

TECHNICAL FIELD The present invention relates to insulators, and more particularly, to an apparatus and a method for determining defective insulators.

In general, in order to confirm the insulation performance of the suspension insulator for transmission line, attempts to detect the defective insulator in the live state.

Conventional rogue detectors include acoustic, lamp, field, and ultrasonic.

The acoustic and lamp-type insulator detects the insulator's performance by measuring the voltage shared by each insulator in the insulator and checking the insulator's performance in the state where the sound or neon lamp is lit. In checking the performance, there is a problem of low reliability.

Electric field insulator detection The detection method determines the quality of the suspension insulator by measuring and analyzing the magnitude of the electric field in the axial direction distributed in the suspension insulator. However, the accuracy of the degree of insulation deterioration is unclear because of poor judgment criteria. In addition, there may be a problem in the safety of the operator due to the direct measurement and insulator performance check.

In addition, the ultrasonic rogue detection method is a method of receiving the ultrasonic wave generated from the insulator with a portable computer and checking the insulator performance using the ultrasonic graph. The accuracy of the degree of insulation deterioration is unclear due to unclear ambient noise or poor judgment criteria.

In addition, the conventional techniques described above have the disadvantage of being expensive to build equipment.

The technical problem to be solved by the present invention is to solve the disadvantages of the prior art is less affected by the ambient noise, relatively poor compared to other defect discrimination techniques in terms of reliability and safety, and low-cost equipment that can be built at low cost An apparatus and method for insulator determination are provided.

Defective insulator determination device according to one feature of the present invention for solving this problem,

Defective insulator determination device for measuring the leakage current of the insulator installed in the tower,

A CT sensor for measuring the leakage current;

A humidity sensor for measuring humidity;

A timer for checking the time;

A memory for storing information;

A control unit which receives the output of the humidity sensor and the current output from the CT sensor, analyzes a result using the memory and a timer, and transmits an analysis result value;

And a communication unit for transmitting an analysis result value to an external center system under the control of the controller.

In order to solve this problem, the defective insulator determination device according to another aspect of the present invention,

Defective insulator discrimination device that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower,

A humidity sensor for measuring humidity;

A timer for checking the time;

A memory for storing information;

A control unit which receives the output of the humidity sensor and the current output from the CT sensor, analyzes a result using the memory and a timer, and transmits an analysis result value;

And a communication unit for transmitting an analysis result value to an external center system under the control of the controller.

In order to solve this problem, a method for determining a bad insulator according to one aspect of the present invention,

Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower,

Determining whether it is wet by measuring current humidity;

When wet, calculating a Vrms fluctuation value of the leakage current and determining whether the Vrms fluctuation value is more than a predetermined multiple of the variation value at drying stored in a memory;

If the Vrms fluctuation value is a predetermined multiple or more than the drying fluctuation value stored in the memory, it is determined as bad.

In order to solve such a problem, a method for determining a bad insulator according to another aspect of the present invention,

Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower,

Determining whether it is wet by measuring current humidity;

When wet, calculating and storing a Vp-p difference value of the leakage current, and determining whether a pulse having a large level of Vp-p difference value is increased compared to a drying value stored in a memory;

And when the pulse of the level having a large Vp-p difference value increases with respect to the drying value stored in the memory, determining that the defect is bad.

In order to solve this problem, a method for determining a bad insulator according to another aspect of the present invention,

Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower,

A first step of determining current humidity by measuring current humidity;

A second step of calculating, when wet, a Vrms fluctuation value of the leakage current and determining whether the Vrms fluctuation value is more than a predetermined multiple of the variation width value at drying stored in a memory;

If the Vrms fluctuation value is more than a predetermined multiple of the drying fluctuation value stored in the memory, the difference value of Vp-p of the leakage current is calculated, and the dry pulse value at which the level of the Vp-p difference is larger is stored in the memory. A third step of determining whether the increase is compared to;

A fourth step of determining as an insulation loss crack if a pulse having a large Vp-p difference value increases in comparison with a dry value stored in a memory in the third step;

A fifth step of determining as an insulation burn crack if the pulse having a large Vp-p difference value does not increase in comparison with the drying value stored in the memory in the third step;

In the second step, if the Vrms fluctuation value is not more than a predetermined multiple of the drying fluctuation value stored in the memory, the Vp-p difference value of the leakage current is calculated, and a pulse having a level having a large Vp-p difference value is obtained. A sixth step of determining whether the value is increased compared to a drying time value stored in the memory;

A seventh step in which if the pulse having a large Vp-p difference value increases in comparison with the drying value stored in the memory in the sixth step, it is determined as a fouling;

In the sixth step, if the pulse of the level having a large Vp-p difference value does not increase compared to the drying value stored in the memory, an eighth step of determining that it is normal.

In the embodiment of the present invention, it is possible to construct equipment which is less affected by ambient noise, and which is relatively superior in reliability and safety compared to other insulator discrimination techniques.

DETAILED DESCRIPTION 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. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, without excluding other components unless specifically stated otherwise. In addition, the terms “… unit”, “… unit”, “module”, etc. described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. have.

First, the following experiments were conducted to verify the characteristics that change depending on humidity after rain and dry weather, that is, in order to determine the insulator of the present invention.

1 is an experimental configuration for measuring and analyzing the leakage current of the insulator for the embodiment of the present invention.

Referring to FIG. 1, in an experimental configuration, a power source 1 for supplying power, a transformer unit 2 for converting the power source to a maximum of about 100 kV, an insulator 6 connected to an output terminal of the transformer unit, and leakage flowing through the insulator It consists of a CT sensor 3 for measuring current, an oscilloscope 4 for analyzing the leakage current sensed by the CT sensor 3, and a computer 5 for receiving waveform information of the oscilloscope and analyzing the result.

In such a configuration, first, a fog chamber for applying a voltage to the test target insulator 6 and controlling the temperature and humidity of the test environment was manufactured in accordance with IEC 61109, and a power transformer was formed at the bottom of the insulator. voltage was applied through a transformer (AC 80 kV, 60 Hz). In addition, a CT sensor (Current Transformer, current ratio: 5000: 1, 10Hz ~ 10kHz) was installed on the upper ground side of the insulator to measure the leakage current flowing into the experimental insulator. The current signal detected from the CT sensor 3 is obtained by converting it into a voltage signal through an oscilloscope (Oscilloscope, LeCroy, 1 GHz, 1 GS / s), and V _pp and V _rms of the voltage signal are computer (LabVIEW ver. 8.5 program). 5 per second, 1 per 12 cycles. In addition, V _rms is analyzed by the size change rate according to the measured time, V _pp signal is analyzed in the form of a size difference between the two adjacent V _{pp (magnitude difference of adjacent 2 V pp} signals).

The object (insulator) tested for defective insulators is shown in FIG. 2.

Referring to Figure 2, divided into dry and wet time, the experiment was conducted in the case of three normal insulators and two normal insulators and one insulator combined.

A total of four cases (Specimen (1) ~ Specimen (4)) were conducted.

Here, the applied voltage was 30 kV, the peak value was measured five times in one second, and measured for about 1 hour. The measurement parameters are V _rms , V _{pp, and} V _pp difference (Vdiff).

Terms such as V _rms, V _pp, V _pp difference value (Vdiff) is well known in the art, but will be described with reference to as follows.

V _rms applied in the present invention is defined as Equation 1 below.

Where u = voltage in each unit

          ai = voltage of each sample for 1 cycle

          n = number of data

If eight samples are acquired in one cycle as shown in Fig. 3, each of the acquired values corresponds to ai, and n becomes eight.

This V _rms is defined, which is the peak at V zero divided by root 2 in the case of a full sine file.

That is, V _rms is the standard deviation of several voltage values within one cycle.

Next, referring to FIG. 4, the V _{pp and} V _pp difference values Vdiff are as follows.

V _pp is the difference between the minimum and maximum _voltage, V _pp difference value (Vdiff) represents the difference between V _pp.

This is expressed as equation (2).

In an embodiment of the present invention, the V _pp difference value Vdiff is divided into several levels, and if necessary, the V _pp difference value Vdiff may be directly used without dividing it into various numbers of levels or dividing it into levels. .

An example of dividing the level of the V _pp difference value (Vdiff) is as follows.

Level 4-> 4 * C <= Vdiff <5 * C

Level3-> 3 * C <= Vdiff <4 * C

Level2-> 2 * C <= Vdiff <3 * C

Level1-> C <= Vdiff <2 * C

Level 0-> -C <Vdiff <C

Level-1-> -2 * C <Vdiff <= -C

Level-2-> -3 * C <Vdiff <= -2 * C

Level-3-> -4 * C <Vdiff <= -3 * C

Level-4-> -5 * C <Vdiff <= -4 * C

Here, the C value is a variable constant value and may vary depending on the situation of the voltage output value in the field. That is, the level value represents the magnitude of the Vdiff value representing the amount of change of the Vpp value representing the magnitude of each cycle for each grade. Therefore, if the level of Vdiff is close to zero, the amount of change in Vpp is close to zero, and if the level of Vdiff is large at + or-value, the amount of change in Vpp is large.

5 is a table showing values obtained by subtracting the level data of the dry state from the level data of the wet state in order to show the level difference between the wet insulator and the dry insulator.

In the analysis of the table of FIG. 5, the defective A-strain has a higher level of data than the wet time, and the normal A-strain shows the opposite tendency. Therefore, if the value of level4, level3, level-3, level-4 is output as +, it is determined as a bad insulator.

The results of the experiment under the conditions of FIG. 2 will be described with reference to this definition.

V _{rms of the} experimental results through FIG. 2 is the same as that _of FIG. 6.

Referring to FIG. 6, when the defective insulator is included in the wetting, the magnitude of V _rms changes significantly as compared with the normal dry and poor dry conditions. That is, in dry condition, V _rms fluctuations of VRMs of defective insulators are about one to two times higher than normal insulators, while V _rms fluctuations of V _rms are inferior to normal insulators when wet. Occurs. This principle was verified by several experiments.

7 and 8 show the results of the Vdiff experiment.

The distributions of the Vdiff pulses detected in FIGS. 7 and 8 are summarized in FIG. 9.

Referring to FIG. 9, it can be seen that the number of relatively large pulse levels decreases during normal wetting (speciman3) than during normal drying (speciman1). However, it can be seen that the number of relatively large pulse levels of levels 2 to 4 increases during poor wetting (speciman4) than in poor dry condition (speciman2).

As demonstrated in the experimental results, it can be seen that the variation in V _pp of wet insulators is larger than that of dry ones.

In addition, it can be seen that the number of Level 2-4 in which the Vdiff value is relatively large increases when the insulator is wet.

On the other hand, insufficiency defects are largely a fouling, an insulation burnout crack, an insulation loss crack, etc.

Defects are cases in which dirt or dirt is on the insulator, and insulated burnout cracks are cases in which a part of the insulator is broken or some insulation function is lost.

In addition, an insulation loss crack is a case where the insulator breaks a lot and the insulation function is lost 90% or more.

As a result of the above experiment on the three, there was an error only in the Vdiff value in case of fouling,

In the case of insulation damage crack, only the V _rms value was abnormal.

In the case of the dielectric loss crack, both the Vdiff value and the V _rms value were abnormal.

Therefore, in the following embodiment of the present invention will be described for the embodiment of determining the normal, fouling, insulation burnout crack, loss of insulation crack. If necessary, only the V _rms value can be determined to determine if it is a fault due to normal or dirty or insulation loss crack, and only the defect due to normal and insulation damage crack or insulation loss crack can be judged only by determining the Vdiff value. .

10 is a configuration diagram of a failure insulator determination device according to an embodiment of the present invention, Figure 11 is a view showing an example of installing a failure insulator determination device according to an embodiment of the present invention in a steel tower.

Referring to FIG. 10 or 11, the failure insulator determination device according to an embodiment of the present invention,

Defective insulator determination device for measuring the leakage current of the insulator installed in the tower,

A CT sensor 220 for measuring the leakage current;

A humidity sensor 110 for measuring humidity;

A timer 120 for checking the time;

A memory 130 for storing information;

A controller 140 which receives an output of the humidity sensor 110 and a current output from the CT sensor 200 and analyzes a result using the memory and a timer, and transmits an analysis result value;

The apparatus may further include a communication unit 150 for transmitting an analysis result value to an external center system under control of the controller.

The apparatus further includes a power supply 210 for supplying power as needed.

The controller 140 may determine that the Vrms fluctuation range of the leakage current when wet is greater than or equal to a predetermined value than the Vrms fluctuation range of the leakage current during drying.

The controller 140 may determine that the number of pulses having the Vdiff value of the leakage current at the time of wetting is greater than that at drying.

If necessary, the control unit 140 may vary the Vrms fluctuation range of the leakage current during wetting when the number of pulses whose Vdiff value of the leakage current is greater than or equal to the predetermined level is greater than the Vrms fluctuation range when the wetting current is dried. In the case of further increase, it is determined that the insulation damage crack.

Then, the operation of the defective insulator discrimination apparatus according to the embodiment of the present invention will be described in detail.

12 is a flowchart illustrating an operation of a failure insulator determination device according to an exemplary embodiment of the present invention.

Referring to FIG. 12, first, when power is applied by the power supply unit 110 configured as a solar cell, the leakage current and humidity of the insulator are measured by the CT sensor 220 and the humidity sensor 110 to the controller 140. It is output (S1010).

Then, the controller 140 determines whether the current humidity is dry or wet (S1020). Here, the criteria for determining the drying time and the wet time may be variously modified according to the type of the humidity sensor, for example, as follows. When the humidity drops to about 50% from 60% or more, it is determined that the rain has stopped after the rain, so that it is wet. In addition, fog or other reasons can cause wetting. At the time of drying, if the humidity is 45% or less, it is judged as the drying time if it is three times or more during the measurement of humidity for two hours.

When drying, the controller 140 receives the leakage current output of the CT sensor 220 (S1120), calculates the variation width and the Vdiff value of the Vrms value, and stores it in the memory 130 (S1130). If necessary, the reference value for drying may be stored in memory after being tested in advance. In this case, the controller 140 stores the data of about 30 minutes to about 2 hours in the memory 130 as necessary, and then makes a defect determination.

On the other hand, when wet, the controller 140 calculates the variation range and Vdiff value of the Vrms value from the output of the CT sensor 220 (S1030) and stores it in the memory 130 (S1040).

Then, the control unit 140 determines whether the variation range of the Vrms value is four times or more at the time of wet compared with the time of drying (S1050). These criteria are set differently as needed and determined in advance by previous experiments.

Next, if the fluctuation range of the Vrms value is four times or more at the time of wetting compared to the drying time, the controller 140 determines whether the number of relatively large pulse levels of Level 2 to 4 at the Vdiff value increases at the time of the wet time. (S1070).

Then, if it is determined that the number of relatively large pulse levels of Levels 2 to 4 in the Vdiff value increases in the wet than in drying, the control unit 140 determines that the insulation loss crack is a code (S1110). This can be expressed in several different ways as needed.

On the other hand, if it is determined that the number of relatively large pulse levels of Levels 2 to 4 in the Vdiff value is increased when wet than when drying, the control unit 140 determines that the insulation damage crack is assigned (S1100).

On the other hand, if the fluctuation range of the Vrms value is not more than four times when wet compared with the drying, the control unit 140 increases the number of relatively large pulse levels of Levels 2 to 4 at the Vdiff value when wet than when drying. It is determined whether (S1060).

If the number of relatively large pulse levels of Level 2 to 4 in the Vdiff value is not determined to increase when wet than when drying, the controller 140 determines to be normal and gives a code (S1080).

If it is determined that the number of relatively large pulse levels of Levels 2 to 4 in the Vdiff value is increased when wet than when drying, the control unit 140 determines that there is a foul and gives a code (S1090).

Then, the control unit 140 transmits these results to the external center system through the communication unit 150 (S1140).

The center then sees the results and takes action.

In the above process, if necessary, the types of defects can be further subdivided to perform experiments, and the result of determination can be determined accordingly. If the variation of the Vrms value and the abnormality of the Vdiff value can be treated only as a defect, . In some cases, only one can be used to determine the contamination or defect.

If necessary, the abnormality may be judged by increasing the case where the Vdiff value is greater than or equal to the predetermined value without dividing the level of the Vdiff value.

Such an embodiment of the present invention can be variously modified, various searches are possible as necessary, and services can be provided in various forms.

The embodiments of the present invention described above are not implemented only through the apparatus and the method, but may be implemented through a program for realizing a function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded. Implementation may be easily implemented by those skilled in the art from the description of the above-described embodiments.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

1 is a view showing a simulation chamber of a transmission line according to an embodiment of the present invention.

2 is a view showing an example of the tested object.

3 is a diagram illustrating a waveform for defining Vrms.

4 shows waveforms for defining Vdiff.

5 is a table showing an example of a value obtained by subtracting the dry Vdiff level data from the wet Vdiff level data.

FIG. 6 is a diagram showing the result of Vrms as a result of experiment with the object of FIG. 2.

7 and 8 are diagrams showing the results of Vdiff as a result of experiments with the object of FIG.

FIG. 9 is a diagram illustrating a distribution of detected pulses by dividing a result value of Vdiff of FIGS. 7 and 8 by a predetermined level.

10 is a block diagram of a defective insulator determination device according to an embodiment of the present invention.

11 is a view showing an example in which the defective insulator determination device according to an embodiment of the present invention is installed in a steel tower.

12 is a flowchart of a method for determining a bad insulator according to an embodiment of the present invention.

Claims (10)

Defective insulator determination device for measuring the leakage current of the insulator installed in the tower, A CT sensor for measuring the leakage current; A humidity sensor for measuring humidity; A timer for checking the time; A memory for storing information; A control unit which receives the output of the humidity sensor and the current output from the CT sensor, analyzes a result using the memory and a timer, and transmits an analysis result value; And a communication unit for transmitting an analysis result value to an external center system under the control of the controller. The method of claim 1, Defective insulator determination device further comprising a power supply for supplying power. The method of claim 1, And the control unit judges abnormality when the Vrms fluctuation range of the leakage current at the time of wet is more than a predetermined value more than the Vrms fluctuation range of the leakage current at the time of drying. The method of claim 1, The control unit determines that the defective insulation insulator is abnormal when the number of pulses with the difference value Vp-p of the leakage current when wet increases more than the drying time. The method according to any one of claims 1 to 4, The controller controls the variation of the Vrms variation of the leakage current during wetting to be greater than or equal to the predetermined variation of the Vrms variation of the leakage current during wetting. The insulator insulator discrimination apparatus, characterized in that the case is determined by the insulation damage crack. Defective insulator discrimination device that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower, A humidity sensor for measuring humidity; A timer for checking the time; A memory for storing information; A control unit which receives the output of the humidity sensor and the current output from the CT sensor, analyzes a result using the memory and a timer, and transmits an analysis result value; And a communication unit for transmitting an analysis result value to an external center system under the control of the controller. Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower, Determining whether it is wet by measuring current humidity; When wet, calculating a Vrms fluctuation value of the leakage current and determining whether the Vrms fluctuation value is more than a predetermined multiple of the variation value at drying stored in a memory; And determining that the Vrms fluctuation value is bad if the variation value of the Vrms is more than a predetermined multiple of the drying fluctuation value stored in the memory. Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower, Determining whether it is wet by measuring current humidity; When wet, calculating and storing a Vp-p difference value of the leakage current, and determining whether a pulse having a large level of Vp-p difference value is increased compared to a drying value stored in a memory; And determining that the pulse having a large level of the Vp-p difference is greater than the dry value stored in the memory, and determining that the defect is defective. Defective insulator discrimination method that receives the output of the CT sensor for measuring the leakage current of the insulator installed in the tower, A first step of determining current humidity by measuring current humidity; A second step of calculating, when wet, a Vrms fluctuation value of the leakage current and determining whether the Vrms fluctuation value is more than a predetermined multiple of the variation width value at drying stored in a memory; If the Vrms fluctuation value is more than a predetermined multiple of the drying fluctuation value stored in the memory, the difference value of Vp-p of the leakage current is calculated, and the dry pulse value at which the level of the Vp-p difference is larger is stored in the memory. A third step of determining whether the increase is compared to; A fourth step of determining as an insulation loss crack if a pulse having a large Vp-p difference value increases in comparison with a dry value stored in a memory in the third step; A fifth step of determining as an insulation burn crack if the pulse having a large Vp-p difference value does not increase in comparison with the drying value stored in the memory in the third step; In the second step, if the Vrms fluctuation value is not more than a predetermined multiple of the drying fluctuation value stored in the memory, the Vp-p difference value of the leakage current is calculated, and a pulse having a level having a large Vp-p difference value is obtained. A sixth step of determining whether the value is increased compared to a drying time value stored in the memory; A seventh step in which if the pulse having a large Vp-p difference value increases in comparison with the drying value stored in the memory in the sixth step, it is determined as a fouling; And an eighth step of determining that the pulse having a large Vp-p difference value is not increased compared to the drying value stored in the memory in the sixth step, and is determined to be normal. The method of claim 7, wherein Determining whether the current humidity is dry; If dry, further comprising the step of storing the Vrms fluctuation value and / or Vp-p difference value of the leakage current in the memory.

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