CN112345979A - Transformer fault detection system - Google Patents

Transformer fault detection system Download PDF

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Publication number
CN112345979A
CN112345979A CN202011182821.3A CN202011182821A CN112345979A CN 112345979 A CN112345979 A CN 112345979A CN 202011182821 A CN202011182821 A CN 202011182821A CN 112345979 A CN112345979 A CN 112345979A
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China
Prior art keywords
transformer
alarm
unit
fault detection
detection system
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Pending
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CN202011182821.3A
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Chinese (zh)
Inventor
王帅
潘峰
常佳伟
王云霄
束毅
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Dafeng Longsheng Industrial Co ltd
Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Original Assignee
Dafeng Longsheng Industrial Co ltd
Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Priority to CN202011182821.3A priority Critical patent/CN112345979A/en
Publication of CN112345979A publication Critical patent/CN112345979A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/62Testing of transformers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

Abstract

The invention provides a transformer fault detection system which comprises a signal acquisition unit, an A/D conversion unit, a control processing unit, a display unit, an alarm unit and a communication unit, wherein the signal acquisition unit is used for acquiring a signal; the transformer fault detection system collects various operation parameters of the transformer, analyzes and judges the operation parameters, determines whether the transformer is abnormal or not, sends out an alarm in time, and uploads detection information to a remote monitoring center through the communication unit. The invention provides a transformer fault detection system which can accurately detect transformer faults, determine fault types and improve the working reliability of a transformer.

Description

Transformer fault detection system
Technical Field
The invention belongs to the technical field of transformer detection, and particularly relates to a transformer fault detection system.
Background
The power transformer is one of important components of a power system, is very important for guaranteeing the safe operation of the power system, and once a fault occurs, the power transformer can affect the operation condition of a power grid. Therefore, efficient monitoring of the transformer is required. Due to the complex working environment of the transformer, fault detection of the transformer is easily interfered by the outside, and the detection result is inaccurate.
The invention provides a transformer fault detection system, which collects various information of a transformer to carry out multi-aspect detection and comprehensively judges whether the transformer works normally or not; in addition, the koch fractal antenna is adopted to collect the high-frequency discharge signal, so that the device is small in size, convenient to install, capable of detecting the discharge signal more accurately and capable of improving the accuracy of fault detection.
Disclosure of Invention
The invention provides a transformer fault detection system which can accurately detect transformer faults, determine fault types and improve the working reliability of a transformer.
The invention particularly relates to a transformer fault detection system which comprises a signal acquisition unit, an A/D conversion unit, a control processing unit, a display unit, an alarm unit and a communication unit, wherein the signal acquisition unit is sequentially connected with the A/D conversion unit and the control processing unit; the transformer fault detection system collects various operation parameters of the transformer, analyzes and judges the operation parameters, determines whether the transformer is abnormal or not, sends out an alarm in time, and uploads detection information to a remote monitoring center through the communication unit.
The signal acquisition unit comprises a sound sensor, a temperature sensor, a vibration sensor and a discharge signal collector, and is used for respectively acquiring a sound signal, a temperature signal, a vibration signal and a discharge signal of the transformer; the discharge signal collector comprises a koch fractal antenna, a circular microstrip patch with the side length of 180mm, and an FR4 epoxy resin plate with the thickness of 3mm and the side length of 200mm as a dielectric material.
The control processing unit performs overall control and analysis judgment on the transformer fault detection system:
judging whether the temperature signal is greater than a temperature reference value, if so, controlling the alarm unit to give an alarm, and displaying an abnormal temperature alarm through the display unit;
matching the sound signal with a sound database, controlling the alarm unit to give an alarm when the sound signal is matched, and displaying the specific fault type through the display unit; the sound database is an acoustic characteristic database of the working state of the transformer, which is established on the basis of field test and comprises acoustic characteristic data of the transformer when the transformer works normally and has different faults;
performing wavelet decomposition on the vibration signal, and performing a threshold function
Figure BDA0002750645310000021
The noise signal is filtered out, and the noise signal is filtered out,
Figure BDA0002750645310000022
for wavelet coefficients after threshold processing, wj,kIs a wavelet coefficient, alphajTo adjust the coefficient, αjE (0, infinity), judging whether the vibration signal is greater than a vibration reference value, if so, controlling the alarm unit to give an alarm, and displaying a vibration abnormity alarm through the display unit;
the discharge signal is subjected to wavelet decomposition and then passes through the threshold function
Figure BDA0002750645310000023
Filtering noise signals, filtering narrow bands by cascaded digital filtersAnd interfering the signal to obtain an effective discharge signal, judging whether the discharge signal is greater than a discharge reference value, if so, giving an alarm by the alarm unit, and displaying an abnormal discharge alarm by the display unit.
And the display unit adopts an LCD display screen to display information of the transformer fault detection system.
And the alarm unit adopts an audible and visual alarm, and timely gives out audible and visual alarm when the transformer is abnormal.
The communication unit uploads the information of the transformer fault detection system to the remote monitoring center by adopting a GPRS wireless communication technology, and can also perform remote parameter setting on the transformer fault detection system; and the remote monitoring center adopts a CDMA mobile communication technology to send the information detected by the transformer fault detection system to related workers so as to carry out fault detection and troubleshooting in time.
Compared with the prior art, the beneficial effects are: the transformer fault detection system collects various information of the transformer to carry out multi-aspect detection, and comprehensively judges whether the transformer works normally or not; in addition, the koch fractal antenna is adopted to collect the high-frequency discharge signal, so that the device is small in size, convenient to install, capable of detecting the discharge signal more accurately and capable of improving the accuracy of fault detection.
Drawings
Fig. 1 is a schematic structural diagram of a transformer fault detection system according to the present invention.
Fig. 2 is a shape diagram of a koch fractal antenna in the transformer fault detection system of the present invention.
Detailed Description
The following describes in detail a specific embodiment of a transformer fault detection system according to the present invention with reference to the accompanying drawings.
As shown in fig. 1, the transformer fault detection system of the present invention includes a signal acquisition unit, an a/D conversion unit, a control processing unit, a display unit, an alarm unit, and a communication unit, wherein the signal acquisition unit is sequentially connected to the a/D conversion unit and the control processing unit, and the control processing unit is further connected to the display unit, the alarm unit, and the communication unit; the transformer fault detection system collects various operation parameters of the transformer, analyzes and judges the operation parameters, determines whether the transformer is abnormal or not, sends out an alarm in time, and uploads detection information to a remote monitoring center through the communication unit.
The signal acquisition unit comprises a sound sensor, a temperature sensor, a vibration sensor and a discharge signal collector, and is used for respectively acquiring a sound signal, a temperature signal, a vibration signal and a discharge signal of the transformer; the discharge signal collector comprises a koch fractal antenna shown in fig. 2, a circular microstrip patch with the side length of 180mm, and an FR4 epoxy resin plate with the thickness of 3mm and the side length of 200mm, which are used as dielectric materials, and has good directivity and small occupied space.
The control processing unit performs overall control and analysis judgment on the transformer fault detection system:
firstly, judging whether the temperature signal is greater than a temperature reference value, if so, controlling the alarm unit to give an alarm, and displaying an abnormal temperature alarm through the display unit;
secondly, matching the sound signals with a sound database, controlling the alarm unit to give an alarm when the sound signals are matched, and displaying specific fault types through the display unit; the sound database is an acoustic characteristic database of the working state of the transformer, which is established on the basis of field test and comprises acoustic characteristic data of the transformer when the transformer works normally and has different faults;
thirdly, performing wavelet decomposition on the vibration signal, and performing threshold function
Figure BDA0002750645310000031
The noise signal is filtered out, and the noise signal is filtered out,
Figure BDA0002750645310000032
for wavelet coefficients after threshold processing, wj,kIs a wavelet coefficient, alphajTo adjust the coefficient, αjE (0, infinity), judging whether the vibration signal is greater than vibrationIf the reference value is the dynamic reference value, controlling the alarm unit to give an alarm, and displaying a vibration abnormity alarm through the display unit;
thirdly, the discharge signal is subjected to wavelet decomposition and then to a threshold function
Figure BDA0002750645310000033
And filtering noise signals, filtering narrow-band interference signals by a cascade digital filter to obtain effective discharge signals, judging whether the discharge signals are greater than a discharge reference value, if so, giving an alarm by the alarm unit, and displaying abnormal discharge alarm by the display unit.
And the display unit adopts an LCD display screen to display information of the transformer fault detection system.
And the alarm unit adopts an audible and visual alarm, and timely gives out audible and visual alarm when the transformer is abnormal.
The communication unit uploads the information of the transformer fault detection system to the remote monitoring center by adopting a GPRS wireless communication technology, and can also perform remote parameter setting on the transformer fault detection system; and the remote monitoring center adopts a CDMA mobile communication technology to send the information detected by the transformer fault detection system to related workers so as to carry out fault detection and troubleshooting in time.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. A transformer fault detection system is characterized by comprising a signal acquisition unit, an A/D conversion unit, a control processing unit, a display unit, an alarm unit and a communication unit, wherein the signal acquisition unit is sequentially connected with the A/D conversion unit and the control processing unit; the transformer fault detection system collects various operation parameters of the transformer, analyzes and judges the operation parameters, determines whether the transformer is abnormal or not, sends out an alarm in time, and uploads detection information to a remote monitoring center through the communication unit.
2. The transformer fault detection system according to claim 1, wherein the signal acquisition unit comprises a sound sensor, a temperature sensor, a vibration sensor and a discharge signal collector, and is used for respectively acquiring a sound signal, a temperature signal, a vibration signal and a discharge signal of the transformer; the discharge signal collector comprises a koch fractal antenna, a circular microstrip patch with the side length of 180mm, and an FR4 epoxy resin plate with the thickness of 3mm and the side length of 200mm as a dielectric material.
3. The transformer fault detection system according to claim 2, wherein the control processing unit performs overall control and analysis judgment on the transformer fault detection system:
judging whether the temperature signal is greater than a temperature reference value, if so, controlling the alarm unit to give an alarm, and displaying an abnormal temperature alarm through the display unit;
matching the sound signal with a sound database, controlling the alarm unit to give an alarm when the sound signal is matched, and displaying the specific fault type through the display unit; the sound database is an acoustic characteristic database of the working state of the transformer, which is established on the basis of field test and comprises acoustic characteristic data of the transformer when the transformer works normally and has different faults;
performing wavelet decomposition on the vibration signal, and performing a threshold function
Figure FDA0002750645300000011
Figure FDA0002750645300000012
The noise signal is filtered out, and the noise signal is filtered out,
Figure FDA0002750645300000013
for wavelet coefficients after threshold processing, wj,kIs a wavelet coefficient, alphajTo adjust the coefficient, αjE (0, infinity), judging whether the vibration signal is greater than a vibration reference value, if so, controlling the alarm unit to give an alarm, and displaying a vibration abnormity alarm through the display unit;
the discharge signal is subjected to wavelet decomposition and then passes through the threshold function
Figure FDA0002750645300000014
Figure FDA0002750645300000015
And filtering noise signals, filtering narrow-band interference signals by a cascade digital filter to obtain effective discharge signals, judging whether the discharge signals are greater than a discharge reference value, if so, giving an alarm by the alarm unit, and displaying abnormal discharge alarm by the display unit.
4. The transformer fault detection system of claim 3, wherein the display unit is configured to display information on the transformer fault detection system by using an LCD display screen.
5. The transformer fault detection system according to claim 4, wherein the alarm unit is an audible and visual alarm, and the audible and visual alarm is timely given out when the transformer is abnormal.
6. The transformer fault detection system according to claim 5, wherein the communication unit uploads information of the transformer fault detection system to the remote monitoring center by using a GPRS wireless communication technology, and can also perform remote parameter setting on the transformer fault detection system; and the remote monitoring center adopts a CDMA mobile communication technology to send the information detected by the transformer fault detection system to related workers so as to carry out fault detection and troubleshooting in time.
CN202011182821.3A 2020-10-29 2020-10-29 Transformer fault detection system Pending CN112345979A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113654652A (en) * 2021-09-17 2021-11-16 广东电网有限责任公司 Fault identification method for direct current control protection device and related device
CN114112005A (en) * 2021-10-28 2022-03-01 国网天津市电力公司 Transformer substation equipment abnormal sound on-line monitor
CN114325155A (en) * 2021-11-19 2022-04-12 国网湖南省电力有限公司 Fault detection system for transformer

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CN110579657A (en) * 2019-07-11 2019-12-17 国网江苏省电力有限公司徐州供电分公司 Transformer fault detection system based on vibration signal analysis and detection method thereof
CN110726539A (en) * 2019-09-27 2020-01-24 国网江苏省电力有限公司盐城供电分公司 Transformer tap switch mechanical fault detection system based on multiple signal analysis and detection method thereof
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CN201909667U (en) * 2010-12-07 2011-07-27 鞍钢集团矿业公司 Running status voice and local electro-discharge online monitoring and analyzing device of transformer
CN104714160A (en) * 2015-03-27 2015-06-17 江苏峰工电气科技有限公司 Multifunctional sensor and application of multifunctional sensor in aspect of GIS discharge and micro-water content detection
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CN206712552U (en) * 2017-05-24 2017-12-05 青岛卓迅电子科技有限公司 Environment intelligent monitor system in a kind of box-type substation based on Internet of Things
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113654652A (en) * 2021-09-17 2021-11-16 广东电网有限责任公司 Fault identification method for direct current control protection device and related device
CN113654652B (en) * 2021-09-17 2024-03-19 广东电网有限责任公司 Fault identification method of direct current control protection device and related device
CN114112005A (en) * 2021-10-28 2022-03-01 国网天津市电力公司 Transformer substation equipment abnormal sound on-line monitor
CN114325155A (en) * 2021-11-19 2022-04-12 国网湖南省电力有限公司 Fault detection system for transformer

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