CN103630768A - Method for diagnosing transformer fault in transformer station - Google Patents
Method for diagnosing transformer fault in transformer station Download PDFInfo
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- CN103630768A CN103630768A CN201210302062.9A CN201210302062A CN103630768A CN 103630768 A CN103630768 A CN 103630768A CN 201210302062 A CN201210302062 A CN 201210302062A CN 103630768 A CN103630768 A CN 103630768A
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Abstract
The invention relates to a method for diagnosing a transformer fault in a transformer station. The method comprises the steps of: (1), data acquisition, i.e., an oil chromatogram sensor installed on the transformer acquiring an oil sample and performing chromatography to obtain the concentration values of hydrogen, methane, ethane ,ethane and acetylene; (2), data processing, i.e., selecting concentration values three times of standard deviations; (3), health assessment; (4), three-ratio method diagnosis; (5), characteristic gas method diagnosis; (6), Duval's triangle method diagnosis; and (7), diagnosis result, i.e., performing comprehensive determination on a transformer first fault diagnosis result, a transformer second fault diagnosis result and a transformer third fault diagnosis result, and then selecting a conclusion with the highest confidence as a transformer fault diagnosis result according to a confidence rule. According to the invention, by taking current operation condition of electrical network equipment as a basis, the equipment operation state is analyzed in real time and fault diagnosis is carried out on abnormity equipment so that power supply reliability is ensured, maintenance cost is lowered, and maintenance risks are reduced.
Description
Technical field
The invention belongs to intelligent substation field, Diagnosis Method of Transformer Faults in especially a kind of transformer station.
Background technology
In traditional substation equipment comprehensive state monitoring system, mainly with being main to the monitoring of data volume, and ignored the senior application based on data.Most systems have just realized Monitoring Data collection and data display function, not based on carrying out senior applied analysis on data, and unrealized to Premium Features such as fault diagnosis, decision supports.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, Diagnosis Method of Transformer Faults in a kind of transformer station is provided, the method is simple and easy to utilizing the collection capacity to equipment on-line monitoring, according to data acquisition, data processing, status surveillance, health assessment, prediction, decision support, finally carry out qualitative, the quantitative Diagnosis analysis of equipment failure.
The present invention solves its technical matters and is achieved through the following technical solutions:
A Diagnosis Method of Transformer Faults in transformer station, the step of its method is:
(1), data acquisition: gather the oil sample circumstances in which people get things ready for a trip analysis of spectrum of going forward side by side by being arranged on oil chromatography sensor on transformer, obtain the concentration value of hydrogen, methane, ethane, ethene, acetylene;
(2), dealing of abnormal data: the concentration value to hydrogen, methane, ethane, ethene, acetylene screens, and chooses and is less than hydrogen, methane, ethane, the ethene of three times of standard deviations, the concentration value of acetylene;
(3), health evaluating: the concentration value of the hydrogen after dealing of abnormal data, methane, ethane, ethene, acetylene and predefined demand value are compared, when concentration value is greater than demand value, reports to the police and enter fault diagnosis;
(4), three-ratio method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer Fisrt fault diagnostic result by three-ratio method;
(5), characteristic gas method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the second fault diagnosis result by characteristic gas method;
(6), David's triangulation method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the 3rd fault diagnosis result by David's triangulation method;
(7), diagnostic result: transformer Fisrt fault diagnostic result, transformer the second fault diagnosis result and transformer the 3rd fault diagnosis result are comprehensively judged and classified, then get conclusion that degree of confidence is the highest as transformer fault diagnosis result according to degree of confidence rule.
And described demand value is respectively hydrogen 150 μ L/L, methane 60 μ L/L, ethane 40 μ L/L, ethene 70 μ L/L, acetylene 5 μ L/L.
Advantage of the present invention and beneficial effect are:
In 1 ,Ben transformer station, to take the current actual operating mode of grid equipment be foundation to Diagnosis Method of Transformer Faults, equipment running status is carried out to real-time analysis, and abnormal equipment is carried out to fault diagnosis, for O&M personnel provide detailed Analysis on Fault Diagnosis report, to guaranteeing power supply reliability, reduce maintenance cost, reduce maintenance risk.
In 2 ,Ben transformer stations, Diagnosis Method of Transformer Faults is simultaneously to preventing accident, and the producer's product quality that improves equipment, raising power grid enterprises equipment Supervision Management Level all have great importance.For building open stratification state monitoring platform, can better each professional be organized, all kinds of status datas of equipment are utilized effectively, for determining apparatus state more accurately with provide aid decision making suggestion that technical support is provided.Meanwhile, after fusion device assets information, open repair based on condition of component platform is also established good technical foundation for realizing the life-cycle management of power grid asset.For grid equipment safety, stable, reliable, long period, high-quality operation provide reliable technology and management safeguard.
Accompanying drawing explanation
Fig. 1 is David's triangulation method schematic diagram.
Embodiment
Below by specific embodiment, the invention will be further described, and following examples are descriptive, is not determinate, can not limit protection scope of the present invention with this.
A Diagnosis Method of Transformer Faults in transformer station, the step of its method is:
(1), data acquisition: gather the oil sample circumstances in which people get things ready for a trip analysis of spectrum of going forward side by side by being arranged on oil chromatography sensor on transformer, obtain the concentration value of hydrogen, methane, ethane, ethene, acetylene; The concentration value of the present embodiment collection is respectively hydrogen 151 μ L/L, methane 46 μ L/L, ethane 86 μ L/L, acetylene 61 μ L/L, ethene 19 μ L/L
(2), dealing of abnormal data: the concentration value to hydrogen, methane, ethane, ethene, acetylene screens, and chooses and is less than hydrogen, methane, ethane, the ethene of three times of standard deviations, the concentration value of acetylene;
(3), health evaluating: the concentration value of the hydrogen after dealing of abnormal data, methane, ethane, ethene, acetylene and predefined demand value are compared, when concentration value is greater than demand value, reports to the police and enter fault diagnosis; Demand value is respectively hydrogen 150 μ L/L, methane 60 μ L/L, ethane 40 μ L/L, ethene 70 μ L/L, acetylene 5 μ L/L.
(4), three-ratio method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene calculates by three-ratio method and obtains coded combination according to three-ratio method coding rule, coded combination is contrasted to transformer fault type judgement method table and obtains transformer fault diagnosis result, in the present embodiment according to three-ratio method C
2h
2/ C
2h
4=61/19=3.21; CH
4/ H
2=46/151=0.3; C
2h
4/ C
2h
6=19/86=0.22; According to three-ratio method coding rule, obtain coded combination 2,0,0; Coded combination is contrasted to transformer fault type judgement method table to be obtained transformer inside and has arc discharge.
Three-ratio method coding rule is as following table:
Transformer fault type judgement method table is as follows:
(5), characteristic gas method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the second fault diagnosis result by characteristic gas method; Total hydrocarbon=212 μ L/L; CH4/ total hydrocarbon=22%; C2H6/ total hydrocarbon=41%; C2H4/ total hydrocarbon=9%; C2H2/ total hydrocarbon=29%; According to characteristic gas, send out judgement acetylene content higher, hydrogen content is higher, suspects and has arc discharge fault.
Table characteristic gas method
(6), David's triangulation method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the 3rd fault diagnosis result by David's triangulation method; By judgement C
2h
2, C
2h
4, CH
4it is 37% that the concentration of three kinds of gases is respectively %CH4; %C2H4 is 15%; %C2H2 is 48%; In conjunction with figure failure judgement type, it is fault caused by low energy discharge.
In Fig. 1:
x=[C
2h
2] unit: μ L/L
x=[C
2h
4] unit: μ L/L
PD-shelf depreciation, the electric discharge of D1-low energy, D2-high-energy discharge, T1-hot stall, below 300 ℃
T2-hot stall, 300-700 ℃, T3-hot stall, more than 700 ℃
The table section limit
| PD | 98%CH 4 | ? | ? | ? |
| D1 | 23%C 2H 4 | 13%C 2H 2 | ? | ? |
| D2 | 23%C 2H 4 | 13%C 2H 2 | 38%C 2H 4 | 29%C 2H 2 |
| T1 | 4%C 2H 2 | 10%C 2H 4 | ? | ? |
| T2 | 4%C 2H 2 | 10%C 2H 4 | 50%C 2H 4 | ? |
| T3 | 15%C 2H 2 | 50%C 2H 4 | ? | ? |
(7), diagnostic result: transformer Fisrt fault diagnostic result, transformer the second fault diagnosis result and transformer the 3rd fault diagnosis result are comprehensively judged and classified, then get conclusion that degree of confidence is the highest as transformer fault diagnosis result according to degree of confidence rule.
Three kinds of algorithms sort and are respectively from high to low according to the degree of confidence of algorithm: three-ratio method, characteristic gas method, David's triangulation method.And the diagnostic result of three kinds of algorithms is divided into two large classes according to discharge fault (code 01) and hot stall (code 02).Then the diagnostic result of three kinds of algorithms is classified respectively, judgement belongs to discharge fault (code 01) or hot stall (code 02).
The algorithm conclusion judged result that has two kinds in three kinds of analytical algorithms, when consistent (belonging to discharge fault or hot stall or normal), is determined the macrotaxonomy of this fault, then is final conclusion according to the diagnosis that degree of confidence is got the algorithm that in two kinds of algorithms, degree of confidence is high.
When the analysis conclusion of three kinds of analytical algorithms is all consistent (belonging to discharge fault or hot stall or normal), the conclusion of getting according to degree of confidence the algorithm that degree of confidence is high is final conclusion.
When the conclusion of three kinds of analytical algorithms is all inconsistent, the conclusion of getting the algorithm that degree of confidence is the highest according to degree of confidence is final conclusion.
In above-mentioned example, judgment result is that of three-ratio method: arc discharge; Judgment result is that of characteristic gas method: arc discharge; David is trigon be judgment result is that: low energy electric discharge.According to above-mentioned decision making algorithm, comprehensively judge and classify, the result of visible three kinds of algorithms judgement is all discharge fault, sorts and obtains final diagnosis and be: arc discharge (conclusion of three-ratio method) according to degree of confidence.
Claims (2)
- Diagnosis Method of Transformer Faults in 1.Yi Zhong transformer station, is characterized in that: steps of the method are:(1), data acquisition: gather the oil sample circumstances in which people get things ready for a trip analysis of spectrum of going forward side by side by being arranged on oil chromatography sensor on transformer, obtain the concentration value of hydrogen, methane, ethane, ethene, acetylene;(2), dealing of abnormal data: the concentration value to hydrogen, methane, ethane, ethene, acetylene screens, and chooses and is less than hydrogen, methane, ethane, the ethene of three times of standard deviations, the concentration value of acetylene;(3), health evaluating: the concentration value of the hydrogen after dealing of abnormal data, methane, ethane, ethene, acetylene and predefined demand value are compared, when concentration value is greater than demand value, reports to the police and enter fault diagnosis;(4), three-ratio method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer Fisrt fault diagnostic result by three-ratio method;(5), characteristic gas method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the second fault diagnosis result by characteristic gas method;(6), David's triangulation method diagnosis: will be greater than hydrogen, methane, ethane, the ethene of demand value, the concentration value of acetylene obtains transformer the 3rd fault diagnosis result by David's triangulation method;(7), diagnostic result: transformer Fisrt fault diagnostic result, transformer the second fault diagnosis result and transformer the 3rd fault diagnosis result are comprehensively judged and classified, then get conclusion that degree of confidence is the highest as transformer fault diagnosis result according to degree of confidence rule.
- 2. Diagnosis Method of Transformer Faults in transformer station according to claim 1, is characterized in that: described demand value is respectively hydrogen 150 μ L/L, methane 60 μ L/L, ethane 40 μ L/L, ethene 70 μ L/L, acetylene 5 μ L/L.
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| CN104076231A (en) * | 2014-07-16 | 2014-10-01 | 胡小青 | Electrical fault detecting method for power transmission transformer |
| CN104076230A (en) * | 2014-07-16 | 2014-10-01 | 胡小青 | Electrical fault detecting system for power transmission transformer |
| CN104090080A (en) * | 2014-07-16 | 2014-10-08 | 胡小青 | Monitoring method for abnormal state of oil-immersed transformer |
| CN104198840A (en) * | 2014-08-07 | 2014-12-10 | 华北电力大学（保定） | Transformer three-ratio fault diagnosis method improved by B-spline theory |
| CN104237413A (en) * | 2014-09-17 | 2014-12-24 | 吉林省电力科学研究院有限公司 | Transformer mixed type fault defect diagnosis method based on chromatographic data fractionation |
| CN104914327A (en) * | 2015-05-06 | 2015-09-16 | 北京航空航天大学 | Transformer fault maintenance prediction method based on real-time monitoring information |
| CN105044499A (en) * | 2015-07-01 | 2015-11-11 | 国家电网公司 | Method for detecting transformer state of electric power system equipment |
| CN105158347A (en) * | 2015-06-05 | 2015-12-16 | 国网电力科学研究院武汉南瑞有限责任公司 | Variation trend-based oil chromatography comprehensive analysis method |
| CN105301388A (en) * | 2015-10-14 | 2016-02-03 | 杭州南车城市轨道交通车辆有限公司 | Rail transit transformer fault diagnosis method |
| CN105976577A (en) * | 2014-07-16 | 2016-09-28 | 曹新民 | Alarm system for monitoring abnormal state of power transformer |
| CN106066432A (en) * | 2016-05-26 | 2016-11-02 | 国网江苏省电力公司电力科学研究院 | A kind of fault detection and fault diagnosis integrated system of power transformer |
| CN106569056A (en) * | 2016-10-21 | 2017-04-19 | 广州供电局有限公司 | Power transformer fault diagnosis method and diagnosis device |
| CN106646154A (en) * | 2016-11-25 | 2017-05-10 | 国家电网公司 | Monitoring diagnostic device of power transformer |
| CN106682081A (en) * | 2016-11-23 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Multi-model based comprehensive transformer performance analysis system |
| CN107656161A (en) * | 2017-11-14 | 2018-02-02 | 国网山东省电力公司电力科学研究院 | A kind of diagnostic method and system of natural esters Insulation Oil Transformer internal fault |
| CN108051660A (en) * | 2017-10-31 | 2018-05-18 | 华北电力大学（保定） | A kind of transformer fault combined diagnosis method for establishing model and diagnostic method |
| CN108717153A (en) * | 2018-04-11 | 2018-10-30 | 大唐东北电力试验研究所有限公司 | A kind of resultant fault diagnostic system suitable for wind power plant 35kV transformers |
| CN110007052A (en) * | 2019-04-24 | 2019-07-12 | 福建工程学院 | A kind of transmitting transformer fault detection dial plate device |
| CN110069793A (en) * | 2018-01-22 | 2019-07-30 | 中国电力科学研究院有限公司 | Transformer fault detection method based on Visualization Model |
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| CN111983394A (en) * | 2020-07-03 | 2020-11-24 | 国网浙江省电力有限公司电力科学研究院 | Based on SF6GIS discharge fault diagnosis method for analysis of decomposition products |
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| CN115524563A (en) * | 2022-10-09 | 2022-12-27 | 华能新疆能源开发有限公司新能源东疆分公司 | Transformer fault diagnosis method and equipment based on gas chromatography analysis |
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