CN117706299A - Transformer winding fault identification method based on humid environment - Google Patents

Transformer winding fault identification method based on humid environment Download PDF

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Publication number
CN117706299A
CN117706299A CN202311712361.4A CN202311712361A CN117706299A CN 117706299 A CN117706299 A CN 117706299A CN 202311712361 A CN202311712361 A CN 202311712361A CN 117706299 A CN117706299 A CN 117706299A
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Prior art keywords
winding
transformer
fault
frequency response
frequency
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CN202311712361.4A
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郭蕾
王泓博
喻安星
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Southwest Jiaotong University
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Southwest Jiaotong University
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Priority to CN202311712361.4A priority Critical patent/CN117706299A/en
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  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The invention discloses a transformer winding fault identification method based on a humid environment, which comprises the steps of firstly testing a transformer, adjusting the ambient humidity of the transformer to obtain the resistance value of the insulation resistance of the transformer winding, and then obtaining the frequency response curves of the transformer under different humidities; calculating an average deviation rate mu through the resistance values of the insulation resistors under different humidity, and calculating an insulation state factor theta of the winding by combining the average deviation rate; and finally, calculating a fault distinguishing factor beta to judge the fault type by calculating fault factors phi and lambda under the phase frequency and amplitude frequency respectively.

Description

Transformer winding fault identification method based on humid environment
Technical Field
The invention belongs to the technical field of transformer fault simulation, and particularly relates to a transformer winding fault recognition method in a humid environment.
Background
The stability and reliability of the transformer, which is one of the core devices in the power system and the traction power supply system, are related to the normal operation of the whole system, and the operation state of the transformer directly determines the safety and stability of the power system. In view of the high cost of the transformer, once a fault occurs, a huge economic loss may be incurred. Of the transformer faults, about 2/3 is a winding fault. During transportation of the transformer, the transformer may be affected by jolts, resulting in slight deformation of the windings. The main problem is that when the transformer is short-circuited, a strong short-circuit current can generate huge electromotive force, so that the winding is deformed. Over time, these deformations can build up, eventually leading to severe winding deformations, which can cause transformer failures, posing a threat to the safety and stability of the power system. Therefore, the operation state of the transformer is monitored in time, the condition of the winding is accurately estimated, and the method is very important for preventing the sudden faults of the transformer.
In transformers, insulation resistance testing is critical to assessing the health of the windings. Insulation resistance testing is a means of preventive maintenance on a regular basis. By monitoring the trend of the insulation resistance, potential problems can be found early and appropriate maintenance measures can be taken to prevent further development of winding faults. The frequency response method is the most widely used transformer winding fault detection method at present. And through the combination analysis of the insulation resistance test and the frequency response method, whether the fault and the fault type can be judged. However, the judgment index of the current frequency response method requires a great deal of knowledge of staff, the judgment accuracy of the method is low for different transformers, and particularly, a unified judgment standard is not formed for different fault types.
Disclosure of Invention
The method for identifying the faults of the transformer winding based on the humid environment can accurately and effectively judge the state of the transformer winding according to the proposed characteristic parameters.
The application provides a method for identifying faults of transformer windings based on a humid environment, wherein a test platform mainly comprises the following steps: the test platform mainly comprises: the transformer box body, the iron core (3), the high-voltage winding (5), the low-voltage winding (6), the wire cake is mutually connected in series, the power supply (9), the sleeve (2), the switch (10), the frequency response tester (1), the computer (8), the humidity sensor (4), the humidifier (7) and the insulation resistance measuring instrument (11), and the switch (12) is characterized by combining frequency response curves of different humidities, extracting transformer characteristics according to the humidities, amplitude-frequency curves and phase-frequency curves and judging winding states, wherein the specific testing method comprises the following steps:
step one: obtaining insulation resistance values under different humidity
The insulation resistance of the transformer winding is measured, the power supply (9) of the device or circuit to be tested is disconnected before the measurement is performed, necessary safety measures are performed, a special insulation resistance measuring instrument (11) is used for connecting the test lead of the test instrument to the winding, and the test voltage of the test instrument is set. The test instrument is activated and a selected voltage is applied to the windings. When voltage is applied, the testing instrument measures current under the applied voltage, and the resistance value of the insulation resistor is calculated and recorded as; ρ 1 ρ 2 .....ρ j
Step two: obtaining frequency response signals under different humidity
Measuring transformer frequency response signals under different humidity environments of a transformer, connecting an output end of a frequency response tester to the bottom of a high-voltage winding (5) through a sleeve, connecting a test end of the frequency response tester to the top of the high-voltage winding through the sleeve, firstly closing a switch (10), closing the switch while adjusting a humidifier (7) to adjust the environment humidity, monitoring the temperature around the winding through a humidity sensor (4), monitoring the humidity in real time through a connecting computer, opening the switch after reaching a target value, closing a switch (12) to obtain the frequency response curve of the transformer winding in the state through switching on the frequency response tester, repeating the test, and obtaining the winding in [10, 80 ]]The frequency response curve of the transformer winding under the gradient of 5 is used for measuring amplitude-frequency data A of the frequency response curve by a frequency response tester i (f),A i (f)=[a i1 a i2 …a iN ]Measured phase frequency data delta i (f),δ i (f)=[η i1 η i2 …η iN ]Wherein a is iN And eta iN Respectively representing the amplitude and phase angle of the nth data point of the ith group of data;
step three: transformer winding fault judgment
(1) Calculating average deviation rate mu of insulation resistance between windings to be detected and normal windings under different humidity
ρ j Expressed as insulation resistance value at humidity j ρ 0 Expressed as insulation resistance under normal humidity.
(2) Calculating to obtain insulation state factor theta
If F 1 ≤θ≤F 2 The winding can be judged to have no fault; if theta is>F 1 Or theta<F 2 Then the winding can be judged to be faulty, F 1 、F 2 Is a constant related to the type of transformer, operating parameters, windings;
step four: the transformer winding fault type judgment comprises the following steps:
(1) Calculating fault factor phi under phase frequency
η j The amplitude of the jth frequency point of the frequency response curve under normal conditions is represented, and N represents the number of acquisition points.
(2) Calculating fault factor lambda under amplitude frequency
a j Representing the magnitude of the jth frequency point of the normal frequency response curve.
(3) Calculating a fault discrimination factor beta
If beta is less than or equal to F 3 Judging the fault as axial displacement; if beta is>F 3 Judging the fault as winding deformation, M 3 Is a constant related to the type of transformer, operating parameters, windings.
Drawings
FIG. 1 is a flow chart of a transformer winding fault identification method based on a humid environment
Transformer winding fault identification test platform under simulation humid environment of figure 2
Detailed Description
The specific method steps are as follows, in further detail below in conjunction with the accompanying drawings:
step one: obtaining insulation resistance values under different humidity
The insulation resistance of the transformer winding is measured, the power supply (9) of the device or circuit to be tested is disconnected before the measurement is performed, necessary safety measures are performed, a special insulation resistance measuring instrument (11) is used for connecting the test lead of the test instrument to the winding, and the test voltage of the test instrument is set. The test instrument is activated and a selected voltage is applied to the windings. When voltage is applied, the testing instrument measures current under the applied voltage, and the resistance value of the insulation resistor is calculated and recorded as; ρ 1 ρ 2 .....ρ j
Step two: obtaining frequency response signals under different humidity
Measuring transformer frequency response signals under different humidity environments of a transformer, connecting an output end of a frequency response tester to the bottom of a high-voltage winding (5) through a sleeve, connecting a test end of the frequency response tester to the top of the high-voltage winding through the sleeve, and firstlyClosing a switch (10), simultaneously adjusting a humidifier (7) to adjust the ambient humidity, monitoring the temperature around the winding through a humidity sensor (4), connecting a computer to monitor the humidity in real time, opening the switch after reaching a target value, acquiring a frequency response curve of the transformer winding in the state by the closing switch (12) through a frequency response tester, repeating the test to acquire the winding in [10, 80 ]]The frequency response curve of the transformer winding under the gradient of 5 is used for measuring amplitude-frequency data A of the frequency response curve by a frequency response tester i (f),A i (f)=[a i1 a i2 …a iN ]Measured phase frequency data delta i (f),δ i (f)=[η i1 η i2 …η iN ]Wherein a is iN And eta iN Respectively representing the amplitude and phase angle of the nth data point of the ith group of data;
step three: transformer winding fault judgment
(1) Calculating average deviation rate mu of insulation resistance between windings to be detected and normal windings under different humidity
ρ j Expressed as insulation resistance value at humidity j ρ 0 Expressed as insulation resistance under normal humidity.
(2) Calculating to obtain insulation state factor theta
If F 1 ≤θ≤F 2 The winding can be judged to have no fault; if theta is>F 1 Or theta<F 2 Then the winding can be judged to be faulty, F 1 、F 2 Is a constant related to the type of transformer, operating parameters, windings;
step four: the transformer winding fault type judgment comprises the following steps:
(1) Calculating fault factor phi under phase frequency
η j The amplitude of the jth frequency point of the frequency response curve under normal conditions is represented, and N represents the number of acquisition points.
(2) Calculating fault factor lambda under amplitude frequency
a j Representing the magnitude of the jth frequency point of the normal frequency response curve.
(3) Calculating a fault discrimination factor beta
If beta is less than or equal to F 3 Judging the fault as axial displacement; if beta is>F 3 Judging the fault as winding deformation, M 3 Is a constant related to the type of transformer, operating parameters, windings.

Claims (2)

1. The transformer fault identification test platform is built under a humid environment, and is characterized in that a transformer box body, an iron core (3), a high-voltage winding (5) and a low-voltage winding (6) are connected in series, a power supply (9), a sleeve (2), a switch (10), a frequency response tester (1), a computer (8), a humidity sensor (4), a humidifier (7), an insulation resistance measuring instrument (11) and a switch (12) are connected in series, and the transformer fault identification test platform is characterized by combining frequency response curves of different humidities, extracting transformer characteristics according to the humidities, amplitude-frequency curves and phase-frequency curves and judging winding states.
2. A method for identifying faults of a transformer winding in a humid environment, which is tested by using the device of claim 1, and is characterized by comprising the following steps:
step one: obtaining insulation resistance values under different humidity
The insulation resistance of the transformer winding is measured, the power supply (9) of the device or circuit to be tested is disconnected before the measurement is performed, necessary safety measures are performed, a special insulation resistance measuring instrument (11) is used for connecting the test lead of the test instrument to the winding, and the test voltage of the test instrument is set. The test instrument is activated and a selected voltage is applied to the windings. When voltage is applied, the testing instrument measures current under the applied voltage, and the resistance value of the insulation resistor is calculated and recorded as; ρ 1 ρ 2 .....ρ j
Step two: obtaining frequency response signals under different humidity
Measuring transformer frequency response signals under different humidity environments of a transformer, connecting an output end of a frequency response tester to the bottom of a high-voltage winding through a sleeve, connecting a test end of the frequency response tester to the top of the high-voltage winding through a sleeve, firstly, opening a switch, closing the switch, simultaneously adjusting a humidifier to adjust the environment humidity, monitoring the temperature around the winding through a humidity sensor, monitoring the humidity in real time through a connecting computer, opening the switch after reaching a target value, closing the switch, acquiring a frequency response curve of the transformer winding in the state through the connection of the frequency response tester, repeating the test, and acquiring the winding of [10, 80 ]]The frequency response curve of the transformer winding under the gradient of 5 is used for measuring amplitude-frequency data A of the frequency response curve by a frequency response tester i (f),A i (f)=[a i1 a i2 …a iN ]Measured phase frequency data delta i (f),δ i (f)=[η i1 η i2 … η iN ]Wherein a is iN And eta iN Respectively representing the amplitude and phase angle of the nth data point of the ith group of data;
step three: transformer winding fault judgment
(1) Calculating average deviation rate mu of insulation resistance between windings to be detected and normal windings under different humidity
ρ j Expressed as insulation resistance value at humidity j ρ 0 The insulation resistance value is expressed as a normal humidity;
(2) Calculating to obtain insulation state factor theta
If F 1 ≤θ≤F 2 The winding can be judged to have no fault; if theta is>F 1 Or theta<F 2 Then the winding can be judged to be faulty, F 1 、F 2 Is a constant related to the type of transformer, operating parameters, windings;
step four: the transformer winding fault type judgment comprises the following steps:
(1) Calculating fault factor phi under phase frequency
(2) Calculating fault factor lambda under amplitude frequency
a j The amplitude of the jth frequency point of the frequency response curve under normal conditions is represented;
(3) Calculating a fault discrimination factor beta
If beta is less than or equal to F 3 Judging the fault as axial displacement; if beta is>F 3 Judging the fault as winding deformation, M 3 Is a constant related to the type of transformer, operating parameters and windingsA number.
CN202311712361.4A 2023-12-13 2023-12-13 Transformer winding fault identification method based on humid environment Pending CN117706299A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101293404B1 (en) * 2013-04-10 2013-08-16 주식회사 서원이에프씨 Moisture diagnosis apparatus for insulator using characteristic of moisture movement in power transformer, and risk evaluation method using characteristic of moisture movement in power transformer using the same
CN103323718A (en) * 2013-06-27 2013-09-25 成都高斯电子技术有限公司 Capacitive high-voltage equipment insulation aging diagnostic test system and working method thereof
CN105182099A (en) * 2015-06-17 2015-12-23 国家电网公司 Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method
CN109581055A (en) * 2018-12-28 2019-04-05 广东电网有限责任公司 A kind of transformer winding fault type detection method based on Multiresolution Decomposition method
CN110361611A (en) * 2019-06-23 2019-10-22 西南交通大学 Transformer winding radial deformation lower frequency response test platform and its assessment method
US20210048487A1 (en) * 2019-08-12 2021-02-18 Wuhan University Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification
CN114485379A (en) * 2022-01-27 2022-05-13 重庆电子工程职业学院 Transformer winding on-line monitoring method
CN115856724A (en) * 2022-11-24 2023-03-28 西南交通大学 Transformer winding fault identification method considering temperature factors

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101293404B1 (en) * 2013-04-10 2013-08-16 주식회사 서원이에프씨 Moisture diagnosis apparatus for insulator using characteristic of moisture movement in power transformer, and risk evaluation method using characteristic of moisture movement in power transformer using the same
CN103323718A (en) * 2013-06-27 2013-09-25 成都高斯电子技术有限公司 Capacitive high-voltage equipment insulation aging diagnostic test system and working method thereof
CN105182099A (en) * 2015-06-17 2015-12-23 国家电网公司 Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method
CN109581055A (en) * 2018-12-28 2019-04-05 广东电网有限责任公司 A kind of transformer winding fault type detection method based on Multiresolution Decomposition method
CN110361611A (en) * 2019-06-23 2019-10-22 西南交通大学 Transformer winding radial deformation lower frequency response test platform and its assessment method
US20210048487A1 (en) * 2019-08-12 2021-02-18 Wuhan University Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification
CN114485379A (en) * 2022-01-27 2022-05-13 重庆电子工程职业学院 Transformer winding on-line monitoring method
CN115856724A (en) * 2022-11-24 2023-03-28 西南交通大学 Transformer winding fault identification method considering temperature factors

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LIJUN ZHOU 等: "FDS analysis for multilayer insulation paper with different aging status in traction transformer of high-speed railway", 《IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION》, vol. 24, no. 5, 31 October 2017 (2017-10-31), pages 3236 - 3244, XP011673711, DOI: 10.1109/TDEI.2017.006547 *
ZHENGYU WU 等: "A New Testing Method for the Diagnosis of Winding Faults in Transformer", 《 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, vol. 69, no. 22, 30 November 2020 (2020-11-30), pages 9203 - 9214 *
郭蕾等: "基于Dissado-Hill模型的油纸绝缘受潮参数特征与评估方法", 《电工技术学报》, vol. 36, no. 23, 31 December 2021 (2021-12-31) *

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