CN203811750U - Live-line detection system for partial discharge of transformer - Google Patents
Live-line detection system for partial discharge of transformer Download PDFInfo
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- CN203811750U CN203811750U CN201320758630.6U CN201320758630U CN203811750U CN 203811750 U CN203811750 U CN 203811750U CN 201320758630 U CN201320758630 U CN 201320758630U CN 203811750 U CN203811750 U CN 203811750U
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Abstract
The utility model discloses a live-line detection system for the partial discharge of a transformer, and the system mainly consists of a sensing amplification module, a data processing module, and a control analysis module, wherein the sensing amplification module employs a combination method of an ultrasonic detection mode and a super-high frequency detection mode so as to avoid the weakness, and irons out the defects that a ultrasonic detection method is low in sensitivity and the capability of high-frequency impulse method is poor in resistance to interference. The system employs an acoustic signal and an electric signal for integrated detection, reduces the misjudgment rate of a single signal, improves the detection accuracy, can achieve the positioning of a partial discharge point, and is effectively used for the live-line detection and insulating diagnosis of the partial discharge of the transformer.
Description
Technical field
The utility model relates to a kind of partial discharge of transformer electrification detection system, specifically a kind of partial discharge of transformer measuring device with electricity based on ultrasound wave, pulse current joint-detection.
Background technology
High-power transformer is widely used in power department, and its operation conditions is directly connected to the safe operation of electric system.In recent years, along with the fast development of electric system, capacity and the electric pressure of transformer improve constantly, and operating safety problem also more and more comes into one's own.In the fault occurring at transformer, Insulation Problems accounts for very large proportion, shelf depreciation is the reason of insulation degradation, again tendency and the form of expression of insulation degradation, show according to the statistical figure of international CIGRE working group international survey report, the insulation fault that shelf depreciation causes accounts for the more than 58.3% of insulation fault.Partial Discharge Detection can reflect the insulation status of transformer in advance, finds in time the insulation defect of transformer inside, the generation of prevention latency and sudden accident.The signals such as the sound that produces when particularly shelf depreciation band electro-detection can be obtained transformer generation shelf depreciation at any time, electricity, light, heat, and it is carried out to analyzing and processing, provide and report to the police and failure diagnosis information, prevention in time or discovery catastrophic discontinuityfailure, avoid causing because of the further expansion of fault the generation of accident, for Condition Maintenance Method of Transformer provides real time data.The charged detection method of conventional partial discharge of transformer mainly contains following several:
1) ultrasonic Detection Method
The ultrasonic signal that utilization is produced by sharp impacts between electronics while being fixed on the inner shelf depreciation generation of sonac receiving transformer on transformer oil tank wall, by realizing the detection to shelf depreciation to ultrasound wave amplitude size, PHASE DISTRIBUTION and spectrum analysis, on tank wall, diverse location is installed multiple ultrasonic sensors simultaneously, and the time delay of the each signal of comparative analysis can realize the location of Partial Discharge Sources.The advantage of the method is there is no electrical link with equipment under test, not disturbed by on-the-spot electromagnetic environment, can realize location and on-line monitoring.While generation due to shelf depreciation, produce hyperacoustic energy and only account for 1% of gross energy, and ultrasound wave causes the problem such as the loss of energy and the conversion efficiency of light signal and electric signal in the travel path complexity of transformer inside and the catadioptric of sound wave, and the detection sensitivity of the method is lower.
2) high-frequency pulse current method
Adopt this lubber ring High Frequency Current Sensor of Kenneth Rogoff to obtain the high-frequency impulse ground current on iron core grounding line, realize the detection of shelf depreciation by the analysis of the features such as the phase place to high-frequency pulse current waveform, amplitude, frequency spectrum.The advantage of the method is that detection sensitivity is high, can reflect pulse current of PD under running status, but is subject to the interference of on-the-spot electromagnetic environment, and can not realize location.
3) ultrahigh frequency detection method
Utilize the high frequency sensors of installing to measure the uhf electromagnetic wave being excited by partial discharge pulse and detect shelf depreciation, it detects frequency range can effectively avoid on-the-spot interference, and there is higher sensitivity, but because transformer-cabinet is to shielding electromagnetic waves effect, uhf sensor must be built in and be arranged in transformer fuel tap, and the method is very limited in the use.
4) light detection method
Detect by fluorescence optical fiber the fluorescence that shelf depreciation produces and detect shelf depreciation.The advantage of the method is that while measurement, light signal is not subject to electromagnetic interference (EMI), highly sensitive, can determine easily partial discharge position.Shortcoming is the method for the burying complexity of optical fiber, and the resolution of Fibre Optical Sensor still can not meet requirement of engineering at present, can not carry out the pattern-recognition of quantitative test and shelf depreciation.
In sum, the charged detection method of partial discharge of transformer has multiple, but single detection method respectively has quality on security, sensitivity, antijamming capability, can not obtain satisfied detection effect.
Processing and the interference mitigation technology of partial discharge of transformer band electro-detection high-frequency pulse signal or ultrasonic signal at present, some adopts fixed gain to amplify analog sensed signal, and all signals is all shown to there is no special squelch measure; Some need to manually adjust gain according to in-site modeling transducing signal size, uses wavelet analysis method burbling noise, calculates loaded down with trivial detailsly, reacts slower, affects the processing speed of entire system.Gain and threshold adaptive technology: possess the adjustable gain of 0dB～60dB and 0%～50% adjustable threshold, system is adjusted amplifier gain and signal sampling threshold value automatically according to high-frequency electrical pulses flow sensor or the on-the-spot actual signal magnitude detecting of ultrasonic sensor, make amplify after analog sensed signal in suitable size, reject little noise signal.
Noise gate control and passage lock-in techniques: after setting thresholding and passage lock and fixing time, in the time that noise transducer detects a signal peak higher than this thresholding, all will be considered to a noise signal at any one peak value that interior high-frequency electrical pulses flow sensor or ultrasonic sensor detect of fixing time of passage lock subsequently higher than the signal of thresholding, high-frequency pulse current or ultrasound examination passage will not record these peak informations, can shield large noise signal.
Utility model content
The purpose of this utility model be to provide a kind of highly sensitive, antijamming capability strong, can realize the partial discharge of transformer electrification detection system of shelf depreciation point location, Detection accuracy is high.
A kind of partial discharge of transformer electrification detection system, is mainly made up of sensing amplification module, data processing module, control analysis module, wherein
Described sensing amplification module comprises ultrasonic sensor, high-frequency electrical pulses flow sensor, noise transducer, this ultrasonic sensor is arranged on the ultrasonic signal that on transformer case, receiving transformer shelf depreciation produces, the high-frequency pulse current installation of sensors high-frequency pulse current signal that receiving transformer shelf depreciation produces on transformer core grounding line, noise transducer is placed near the receiving transformer of transformer high-frequency electromagnetic undesired signal around, this ultrasonic sensor, high-frequency electrical pulses flow sensor, the built-in amplifier of noise transducer carries out logarithmic amplification and exports data processing module to the signal receiving respectively,
Described data processing module comprises signal condition unit, signal gathering unit, wherein signal condition unit is connected to receive the analog sensed signal after amplification with the each sensor in sensing amplification module, and carry out exporting signal gathering unit to after signal distribution, Classification and Identification, signal gathering unit is connected with control analysis module, the steering order that reception control analysis module is sent is carried out signals collecting, and the information after gathering is sent to control analysis module;
Described control analysis module comprises signal processing of partial discharge unit, noise suppresses unit, local discharge characteristic extraction unit, shelf depreciation type identification unit, Partial Discharge Data administrative unit, wherein signal processing of partial discharge unit is connected to receive analog sensed signal with data processing module, and send data to noise suppress unit, this noise suppresses after unit extracts real Partial Discharge Data cancelling noise undesired signal to be sent to local discharge characteristic extraction unit, temporal signatures information extraction statistics fingerprint and the characteristic spectrum that local discharge characteristic extraction unit occurs according to local discharge signal also exports shelf depreciation type identification unit to, shelf depreciation type identification unit is according to statistics fingerprint, hundreds of groups of built-in typical case's electric discharge type databases of characteristic spectrum comparative analysis provide shelf depreciation type and defect order of severity diagnostic result and are saved to Partial Discharge Data administrative unit, Partial Discharge Data administrative unit manages and offline search stored historical data, provide horizontal to user, longitudinal data is analyzed and shelf depreciation development trend figure.
A kind of partial discharge of transformer electrification detection system of the utility model, the method that adopts ultrasound wave and two kinds of detection modes of ultrahigh frequency to combine, maximize favourable factors and minimize unfavourable ones, solve that supercritical ultrasonics technology sensitivity is low, the shortcoming of high-frequency impulse method poor anti jamming capability, using acoustics, two kinds of signals of electricity as comprehensive diagnos, reduce the False Rate of single signal, strengthen detection accuracy, and the location that can realize shelf depreciation point, be effectively applied to partial discharge of transformer band electro-detection and insulation diagnosis.
Brief description of the drawings
Fig. 1 is fundamental diagram of the present utility model.
Below in conjunction with the drawings and specific embodiments, the utility model is further described.
Embodiment
As shown in Figure 1, a kind of partial discharge of transformer electrification detection system, is mainly made up of sensing amplification module 1, data processing module 2, control analysis module 3, wherein
Described sensing amplification module 1 comprises ultrasonic sensor 11, high-frequency electrical pulses flow sensor 12, noise transducer 13, wherein ultrasonic sensor 11 is arranged on the ultrasonic signal that on transformer 4 shells, receiving transformer shelf depreciation produces, high-frequency electrical pulses flow sensor 12 is arranged on the high-frequency pulse current signal that on transformer 4 iron core grounding lines, receiving transformer shelf depreciation produces, noise transducer 13 is placed near the receiving transformer of transformer 4 high-frequency electromagnetic undesired signal around, this ultrasonic sensor 11, high-frequency electrical pulses flow sensor 12, the built-in amplifier of noise transducer 13 carries out logarithmic amplification and exports data processing module 2 to the signal receiving respectively,
Described data processing module 2 comprises signal condition unit 21, signal gathering unit 22, wherein signal condition unit 21 is connected to receive the analog sensed signal after amplification with the each sensor in sensing amplification module 1, and carry out exporting signal gathering unit 22 to after signal distribution, Classification and Identification, signal gathering unit 22 is connected with control analysis module 3, the steering order that reception control analysis module 3 is sent is carried out signals collecting, and the information after gathering is sent to control analysis module 3;
Described control analysis module 3 comprises signal processing of partial discharge unit 31, noise suppresses unit 32, local discharge characteristic extraction unit 33, shelf depreciation type identification unit 34, Partial Discharge Data administrative unit 35, wherein signal processing of partial discharge unit 31 is connected to receive analog sensed signal with data processing module 2, and send data to noise inhibition unit 32 after adopting FIR filtering, this noise suppresses unit 32 and adopts gain and threshold adaptive technology, noise gate control and passage lock-in techniques, cancelling noise undesired signal, noise suppresses after unit 32 extracts real Partial Discharge Data to be sent to local discharge characteristic extraction unit 33, temporal signatures information extraction statistics fingerprint and the characteristic spectrum that local discharge characteristic extraction unit 33 occurs according to local discharge signal also exports shelf depreciation type identification unit 34 to, shelf depreciation type identification unit 34 is according to statistics fingerprint, hundreds of groups of built-in typical case's electric discharge type databases of characteristic spectrum comparative analysis provide shelf depreciation type and defect order of severity diagnostic result and are saved to Partial Discharge Data administrative unit 35, Partial Discharge Data administrative unit 35 manages and offline search stored historical data, provide horizontal to user, longitudinal data is analyzed and shelf depreciation development trend figure.
The method that the utility model adopts ultrasound wave and two kinds of detection modes of ultrahigh frequency to combine, maximize favourable factors and minimize unfavourable ones, solve that supercritical ultrasonics technology sensitivity is low, the shortcoming of high-frequency impulse method poor anti jamming capability, using acoustics, two kinds of signals of electricity as comprehensive diagnos, reduce the False Rate of single signal, strengthen detection accuracy, and can realize the location of shelf depreciation point, be effectively applied to partial discharge of transformer band electro-detection and insulation diagnosis.
The above, it is only the utility model preferred embodiment, not technical scope of the present utility model is imposed any restrictions, therefore any trickle amendment, equivalent variations and modification that every foundation technical spirit of the present utility model is done above embodiment, all still belong in the scope of technical solutions of the utility model.
Claims (1)
1. a partial discharge of transformer electrification detection system, is characterized in that: mainly formed by sensing amplification module, data processing module, control analysis module, wherein,
Described sensing amplification module comprises ultrasonic sensor, high-frequency electrical pulses flow sensor, noise transducer, this ultrasonic sensor is arranged on the ultrasonic signal that on transformer case, receiving transformer shelf depreciation produces, the high-frequency pulse current installation of sensors high-frequency pulse current signal that receiving transformer shelf depreciation produces on transformer core grounding line, noise transducer is placed near the receiving transformer of transformer high-frequency electromagnetic undesired signal around, this ultrasonic sensor, high-frequency electrical pulses flow sensor, the built-in amplifier of noise transducer carries out logarithmic amplification and exports data processing module to and control analysis module the signal receiving respectively,
Described data processing module comprises signal condition unit, signal gathering unit, wherein signal condition unit is connected to receive the analog sensed signal after amplification with the each sensor in sensing amplification module, and carry out exporting signal gathering unit to after signal distribution, Classification and Identification, signal gathering unit is connected with control analysis module;
Described control analysis module comprises that signal processing of partial discharge unit, noise suppress unit, local discharge characteristic extraction unit, shelf depreciation type identification unit, Partial Discharge Data administrative unit, wherein signal processing of partial discharge unit is connected to receive analog sensed signal with data processing module, and sends data to noise inhibition unit.
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| CN201320758630.6U CN203811750U (en) | 2013-11-27 | 2013-11-27 | Live-line detection system for partial discharge of transformer |
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| CN201320758630.6U CN203811750U (en) | 2013-11-27 | 2013-11-27 | Live-line detection system for partial discharge of transformer |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105891610A (en) * | 2016-03-30 | 2016-08-24 | 国网湖南省电力公司 | Method for grading transformer station partial discharge live detection electromagnetic interference signals |
| CN106483435A (en) * | 2016-11-24 | 2017-03-08 | 国网新疆电力公司电力科学研究院 | Transformer belt electric detection means |
| CN106932159A (en) * | 2017-04-24 | 2017-07-07 | 山东明佳科技有限公司 | A kind of glass, ceramic vessel device for detecting sealability and method |
| CN108120861A (en) * | 2017-11-22 | 2018-06-05 | 国网浙江海宁市供电有限公司 | Intelligent electric meter stealing data collector |
| CN109596955A (en) * | 2018-12-30 | 2019-04-09 | 国网北京市电力公司 | Shelf depreciation state determines method and device |
| CN109884483A (en) * | 2019-03-04 | 2019-06-14 | 国网湖北省电力有限公司电力科学研究院 | Insulating tube type busbar shelf depreciation acoustics on-line monitoring method and device |
| CN109917255A (en) * | 2019-04-27 | 2019-06-21 | 西南交通大学 | Partial discharge positioning method under transformer insulation oil temperature rise |
| CN111044861A (en) * | 2019-12-20 | 2020-04-21 | 上饶市中科院云计算中心大数据研究院 | Partial discharge detection method and device |
| CN111273137A (en) * | 2020-02-21 | 2020-06-12 | 国网河北省电力有限公司电力科学研究院 | Inverted current transformer and partial discharge detection device |
| CN112379228A (en) * | 2020-11-05 | 2021-02-19 | 国网山东省电力公司武城县供电公司 | Transformer partial discharge ultrasonic positioning method and system |
| CN112924810A (en) * | 2021-01-27 | 2021-06-08 | 国网山东省电力公司淄博供电公司 | Power cable fault diagnosis method and system based on high-frequency signal identification |
| CN114062860A (en) * | 2021-11-09 | 2022-02-18 | 广东电网有限责任公司广州供电局 | Partial discharge detection device for transformer and control method |
| US11885844B2 (en) | 2021-08-03 | 2024-01-30 | Delta Electronics (Shanghai) Co., Ltd. | Method and device for detecting insulation state in conversion system |
-
2013
- 2013-11-27 CN CN201320758630.6U patent/CN203811750U/en not_active Expired - Fee Related
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105891610A (en) * | 2016-03-30 | 2016-08-24 | 国网湖南省电力公司 | Method for grading transformer station partial discharge live detection electromagnetic interference signals |
| CN106483435A (en) * | 2016-11-24 | 2017-03-08 | 国网新疆电力公司电力科学研究院 | Transformer belt electric detection means |
| CN106932159A (en) * | 2017-04-24 | 2017-07-07 | 山东明佳科技有限公司 | A kind of glass, ceramic vessel device for detecting sealability and method |
| CN108120861A (en) * | 2017-11-22 | 2018-06-05 | 国网浙江海宁市供电有限公司 | Intelligent electric meter stealing data collector |
| CN109596955B (en) * | 2018-12-30 | 2021-06-22 | 国网北京市电力公司 | Partial discharge state determination method and device |
| CN109596955A (en) * | 2018-12-30 | 2019-04-09 | 国网北京市电力公司 | Shelf depreciation state determines method and device |
| CN109884483A (en) * | 2019-03-04 | 2019-06-14 | 国网湖北省电力有限公司电力科学研究院 | Insulating tube type busbar shelf depreciation acoustics on-line monitoring method and device |
| CN109917255A (en) * | 2019-04-27 | 2019-06-21 | 西南交通大学 | Partial discharge positioning method under transformer insulation oil temperature rise |
| CN109917255B (en) * | 2019-04-27 | 2020-04-24 | 西南交通大学 | Partial discharge positioning method under temperature rise of transformer insulating oil |
| CN111044861A (en) * | 2019-12-20 | 2020-04-21 | 上饶市中科院云计算中心大数据研究院 | Partial discharge detection method and device |
| CN111273137A (en) * | 2020-02-21 | 2020-06-12 | 国网河北省电力有限公司电力科学研究院 | Inverted current transformer and partial discharge detection device |
| CN112379228A (en) * | 2020-11-05 | 2021-02-19 | 国网山东省电力公司武城县供电公司 | Transformer partial discharge ultrasonic positioning method and system |
| CN112924810A (en) * | 2021-01-27 | 2021-06-08 | 国网山东省电力公司淄博供电公司 | Power cable fault diagnosis method and system based on high-frequency signal identification |
| US11885844B2 (en) | 2021-08-03 | 2024-01-30 | Delta Electronics (Shanghai) Co., Ltd. | Method and device for detecting insulation state in conversion system |
| CN114062860A (en) * | 2021-11-09 | 2022-02-18 | 广东电网有限责任公司广州供电局 | Partial discharge detection device for transformer and control method |
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