CN104076231A - Electrical fault detecting method for power transmission transformer - Google Patents
Electrical fault detecting method for power transmission transformer Download PDFInfo
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Abstract
The invention provides an electrical fault detecting method for a power transmission transformer. The emphasis is that electrical faults are monitored, the electrical fault detecting method for the power transmission transformer can judge the electrical faults in advance before detection is performed through a three-ratio method, if the faults are judged to be the electrical faults, gas component detection is carried out in advance, if solid insulating material decomposition is not involved, the three-ratio method continues to be used for detection, and if solid insulating material decomposition is involved in monitoring, a secondary detection and judgment method is selected for detection. In this way, inaccurate or unstable measurement caused by the influence of multiple factors can be avoided to the maximum extent, the detection effect of the three-ratio method is better, and the influence on diagnosis by carbon dioxide (CO2) and carbon monoxide (CO) generated by solid insulation faults is avoided.
Description
Technical field
The present invention relates to the electrical fault detection method of a kind of transmitting transformer, belong to technology of transmission of electricity field.
Background technology
Because transformer oil has good heat radiation and insulating property, so oil-immersed power transformer is quoted widely in electric system.In normal operational process, transformer can be slowly aging under the impact of the various factorss such as mechanical stress and heat, electricity, and generate some inflammable gass.If transformer exists inner latency fault, the energy that trouble location discharges can accelerate the cracking of insulating material, impels the content of oil dissolved gas and gas production rate greatly to improve.By obtaining transformer oil sample, adopt the method for gas chromatography just can obtain the content of each component of oil dissolved gas, thereby the health status of transformer is made and being assessed or to existing abnormal transformer to carry out the analysis of failure condition.Therefore, Gases Dissolved in Transformer Oil analysis has great significance to oil-filled transformer fault diagnosis.The source of finding Gases Dissolved in Transformer Oil through analysis and summary mainly comprises following three aspects: the decomposition aerogenesis of insulating oil; The decomposition aerogenesis of solid insulating material; Otherwise source.Transformer oil is by some chemical technology refining, to be extracted and obtained on the basis of natural oil.It is a kind of potpourri, has wherein comprised various hydrocarbons, mainly contains alkane, alkene, naphthenic hydrocarbon and aromatic hydrocarbon etc.Hydrocarbon two kinds of elements, as the essential element of insulating oil, account for the 95%-99% of total weight, and other is some oxygen, nitrogen, sulphur and some trace elements.
The hydrocarbon that insulating oil comprises many types, these compound molecules contain CH, CH2, CH3Deng functional group, couples together by hydrocarbon key and carbon-carbon bond.Some hydrocarbon keys and carbon-carbon bond can rupture under the factor effect such as electric, hot, form hydrocarbon free radical and unsettled hydrogen atom.Thereby these free radicals and hydrogen atom can participate in rapidly again in the chemical reaction of series of complex and form new compound, mainly contain hydrogen and some low molecular hydrocarbon gas, as methane (CH4), ethane (C2H6), ethene (C2H4), acetylene (C2H2) etc.
Solid insulating material mainly contains insulating board, insulating paper, and they are all to using wood pulp as primary raw material, and chemical composition, the one-tenth such as three major polymers: cellulose, half fine element and lignin are grouped into.Wherein cellulose is principal ingredient, comprises carbon-oxygen bond, the general key of glucose and anhydrous dextrose ring.By understanding the character of these chemical bonds in depth, can find that these chemical bonds are more fragile than hydrocarbon key.Therefore, when some superheatings and discharge fault occur transformer, these chemical bonds are easy to occur cracking, and then form new material by the chemical reaction of series of complex.
In addition, artificial certain operations also may cause the generation of these gases.Such as: after the equipment breaking down is keeped in repair, could not carry out degassed processing thoroughly to insulating oil, will cause so also existing some to remain failure gas in insulating oil; Under the oil condition that insulate in addition, transformer is carried out to the decomposition aerogenesis that welding operation may also can cause insulating oil in fuel tank; In switching on-load tap-changer, may not cause electric discharge because of the fixing of current potential, cause some failure gas that is decomposed to form of switch gear room's insulating oil, and in the insulating oil infiltration transformer main fuel tank of these gases along with switch gear room.
Transformer fault type can be divided into a variety of, different mode classifications can obtain Different Results.If can be divided into circuit, magnetic circuit and oil circuit three types according to the difference of fault loop; According to the speed of development of fault, can be divided into latency and sudden two large classes; If divided according to nature of trouble, can be divided into superheating, electrical fault and mechanical fault, but mechanical fault shows with the form of superheating or electrical fault conventionally.Solid insulation fiber and mineral insulating oil are the main insulating material of current transformer adopting.When inner latency fault occurs transformer, insulating material will produce some inflammable gass under the effect such as hot, electric.In the primary stage of fault progression, the gas of generation can be dissolved in transformer oil, so Gases Dissolved in Transformer Oil analysis is extremely effective to inner latency fault and development degree judgement thereof.In the transformer fault diagnosis based on oil dissolved gas data, transformer fault type is divided into superheating and electrical fault.
Wherein, electrically the fault insulating property that normally cause under high electric stress effect transformer inside are deteriorated, according to the difference of energy density, electrically fault can be divided into high-energy discharge (being arc discharge), low energy electric discharge (being spark discharge) and three kinds of different fault types of shelf depreciation.According to fault analysis reason, shelf depreciation main cause: under the effect of internal high voltages, in solid insulation structure, there is cavity, or there is the rough positions such as burr, wedge angle in surface, conductor edge is because insulating property weakness and electric field are concentrated, thereby cause shelf depreciation, and cause the formation of X wax.Low energy electric discharge: owing to there being bad connection phenomenon, cause current potential unfixing, so that flashing electric discharge or electric arc, may occur in shading ring, between conductor or between the coil of winding, this is a kind of intermittent electric discharge, its discharge energy density is larger.High-energy discharge: local high electric field or because short circuit forms flashover or electric arc, along plane discharge; The insulation of winding inter-turn or interlayer is breakdown; The transformer internal short-circuit that a variety of causes causes, comprise low pressure over the ground, between joint, between winding coil etc.; There is fracture or have flashover phenomenon over the ground and the arcing of shunting switch in lead-in wire.Because the energy density of electric discharge is very large, may make insulating material performance deteriorated rapidly, transformer is caused to major injury.
And three-ratio method is a kind of method of carrying out transformer fault diagnosis according to the relative ratio of gas concentration.The substantial connection that the relative ratio of the gas componant content that it generates under the effect of fault energy according to TRANSFORMER INSULATING MATERIAL and trouble spot temperature exist is chosen gas diffusivity and is done ratio at two kinds of similar gases of dissolved in insulating oil degree from five kinds of characteristic gas components.After obtaining the coding of three kinds of ratios, the fault type determination methods listed according to guide rule defined table just can judge fault type and possible failure cause easily.
Certainly, when carrying out transformer fault judgement, also there is obvious weak point in three-ratio method, for example by the analysis of gas production mechanism, can be found, when each component concentration of gas and gas production rate all do not exceed standard, running state of transformer is normal, three-ratio method diagnosis is invalid, only has and exceeds standard or gas production rate exceeds standard or has enough when judging that transformer exists fault when gas content, and three-ratio method diagnosis is just understood meaningful.
Also have when transformer fault relates to solid insulating material decomposition, can generate a large amount of carbon dioxide (CO2) and carbon monoxide (CO), but the three-ratio method that guide rule is recommended does not have the information with reference to carbon dioxide (CO2) and carbon monoxide (CO), so this diagnosis for the electrical fault of solid insulation class causes very large impact.
Therefore for overcoming above-mentioned defect, be necessary the three-ratio method of current employing to improve to improve the precision and stability of the electrical fault of Diagnosis for Power Transformer, avoid occurring erroneous judgement operation or other factors generation harmful effects simultaneously.
Summary of the invention
In order to solve the problems of the technologies described above, the present invention proposes the electrical fault detection system of a kind of transmitting transformer, its emphasis is monitored electrical fault, the electrical fault detection system of this transmitting transformer can be carried out in advance the judgement of electrical fault before carrying out three-ratio method detection, if be judged as the detection judgement that electrical fault is carried out gas composition in advance, if not relating to solid insulating material decomposes, selection continues to use three-ratio method to detect, if monitoring relates to solid insulating material decomposition, selects the application's secondary detection determining method to detect.Can avoid to the full extent like this measurement out of true that produces because of multiple factors impact or unstable, make three-ratio method detect effect more excellent, the impact of having avoided the carbon dioxide (CO2) that produces due to solid insulation class fault and carbon monoxide (CO) to cause diagnosis.
For achieving the above object, the present invention adapts to different fault types and the impact of the source of failure, and electrically fault detection system has been taked secondary detection determining method and two kinds of detection methods of three-ratio method, and the technological means of employing is:
Scheme 1, the electrical fault detection system of a kind of transmitting transformer, comprise the following steps:
Step 1: first start early warning operation steps, i value, K value and counter N zero clearing are set, i=1 wherein, for integer, K≤6, be preferably 3, the concentration that detects each gas composition in concentration of component detection module obtains each concentration value Di, whether the concentration value that judges successively each gas composition has exceeded ultimate value Di0 separately, once corresponding gas composition value of going beyond the limit of, carries out 1 operation that adds of counter N, when counter N is more than or equal to K, when the gas composition quantity of the value of going beyond the limit of surpasses K, start and enter testing;
Step 2: after entering testing, detection draws the group component of characteristic gas, when each group component meets the condition of (C2H2+H2)/CnHn >=A, show to exist electrical likelihood of failure, if while not meeting the condition of (C2H2+H2)/CnHn >=A, likely there is superheating possibility, start superheating judgement and testing process; Meet the warning that above-mentioned condition can start electrical fault, electrical fault diagnosis is carried out in prompting;
Step 3: judge whether to enter secondary detection determining method based on (CO+CO2)/CnHn >=B that whether satisfies condition and still enter three-ratio method and carry out fault detect, when satisfying condition (CO+CO2)/CnHn >=B, show the carbon dioxide (CO2) and the carbon monoxide (CO) that now have excessive solid insulation class fault to produce, now need choice for use secondary detection determining method, if do not meet (CO+CO2)/CnHn >=B, show excessive solid insulation class fault does not occur, can continue to use three-ratio method.
Step 4: the concrete deterministic process of above-mentioned secondary detection determining method is as follows:
1). when satisfied (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, may there is high energy arc discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, now show to exist high energy arc discharge fault;
2). when meeting CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, may there is spark discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, now show to exist spark discharge fault;
3). when meeting CH4/CnHn > V5 and H2+C2H2/CnHn > V6, may there is partial discharges fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CH4/CnHn > V5 and H2+C2H2/CnHn > V6, now show to exist partial discharges fault;
In above formula, H2, CH4, C2H4, C2H6, C2H2 represents respectively each group component, and total hydrocarbon content represents with CnHn, A representative is used for judging whether to exist the first threshold of superheating, and B representative is used for judging whether to exist the Second Threshold of solid insulation class fault, V1, V2, V3, V4, V5, V6 represents respectively correlation experience value or threshold value is set.
Scheme 2, according to the electrical fault detection system of the transmitting transformer of scheme 1, it is characterized in that, each gas composition comprises H2, CH4, C2H4, C2H6, C2H2, total hydrocarbon.
Scheme 3, according to the electrical fault detection system of the transmitting transformer of scheme 1, it is characterized in that, generally, K can be set to K≤6, is preferably 3.
Scheme 4, according to the electrical fault detection method of the transmitting transformer of scheme 1, it is characterized in that A=70-85%, B=15-30%, V1=55-85%, V2=42-74%, V3=35-55%, V4=35-90%, V5=72-90%, V6=80-90%.
Invention, has adopted above-mentioned technological means after deliberation, has changed the single level judgment model of existing transmitting transformer control system, improves the accuracy of utilizing three-ratio method judgement transformer fault type; Optimized the early warning fail operation pattern of transformer control system, reduced the probability of the erroneous judgement maloperation causing due to a variety of causes, guaranteed the accuracy of output alert status, also the method judging by secondary detection has realized the further checking of fault pre-alarmings at different levels has been detected simultaneously, has strengthened application and the reliability of early warning system.
Accompanying drawing explanation
Fig. 1 is transmitting transformer structural representation of the present invention;
Fig. 2 is the electrical fault detection system sketch of transmitting transformer of the present invention;
Fig. 3 is the general flow chart of the electrical fault detection method of transmitting transformer of the present invention.
Embodiment
As shown in Figure 1, the invention discloses a kind of oil immersed type transmitting transformer, this oil immersed type transmitting transformer structural representation as shown in Figure 1, this transformer comprises the transformer shell 1 that covers whole transformer, be connected to the insulation fuel tank 2 on transformer shell 1, transformer liner 3, and major function part winding coil 4 and the iron core 5 of transmitting transformer, pick-up unit 6 and thermo detector 7 are positioned at transformer shell 1 top edges place, for carrying out the detection of related control data, be positioned at insulating oil 10 and the air layer 11 of insulation fuel tank 2.
As shown in Figure 2, the electrical fault detection system of transmitting transformer of the present invention comprises transmitting transformer ECU unit, memory unit, concentration of component detection module, electrical fault detection module, superheating detection module, three-ratio method coding judge module and electrically fault alarm unit.Concentration of component detection module wherein, electrical fault detection module, superheating detection module, three-ratio method coding judge module is connected with ECU unit, accept the steering order of ECU unit and feed back various signals to ECU unit, memory unit is connected with three-ratio method coding judge module with ECU unit respectively, and electrically fault alarm unit is responsible for the electrical fault pre-alarming signal of ECU unit output to carry out outside Graphics Processing.
Transformer can be subject to the impact of the various factorss such as mechanical stress, temperature, highfield and moisture, oxygen in operational process, can under the effect of these factors, there are the various chemical reactions such as carbonization, cracking and oxidation in insulating oil, generate hydrogen, low molecular hydrocarbon compounds, greasy filth, some oxide and hydrocarbon polymer (X wax), the deteriorated and catabiosis of Here it is transformer insulation oil.Under normal circumstances, insulating oil only generates seldom some gases of amount, and the content of these gases also can remain in GB setting conventionally.When inner latency fault occurs transformer, the energy that trouble spot discharges can accelerate the decomposition aerogenesis of insulating material, may cause the gas concentration value of overstepping the extreme limit, and therefore can by the concentration of gas, roughly judge that whether transformer state is normal.It is as shown in the table for regulation gas dissolved in oil of power trans-formers ultimate value.
Table Gas in Oil of Transformer concentration of component ultimate value (uL/L)
Described concentration of component detection module can each component of each gas of cycle detection (H2, CH4, C2H4, C2H6, C2H2, total hydrocarbon) concentration, and by each concentration value Di and the corresponding ultimate value Di0 (D10 of this gas composition, D20, D30, D40, D50, D60) compare successively, once obtain concentration value of going beyond the limit of that this gas composition detects, carry out the counting operation of counter N, once counter N equals or exceeds K (generally, N, K is integer and can arranges, K≤6, be preferably 3) time, indicate that K group gas composition has exceeded ultimate value, start next step concrete failure detection operations, if counter does not reach K value after having measured six groups of concentration, counter can send in standby mode or zero clearing wait detection next time instruction.Above-mentioned detected components type can be selected according to situation, can be three kinds, four kinds or five kinds etc.
Described electrical fault detection module, superheating detection module can be also different modules for same module, it is mainly in order accurately to detect targetedly electrical fault or superheating, thereby be different from single three-ratio method, detects.Like this when three-ratio method accurately avoids continuing the error of using three-ratio method to bring during detection failure result, again provide other novel failure analysis methods, the range of application that has greatly enriched three-ratio method is set like this, the simultaneously perfect function of transmitting transformer control system, when carrying out the diagnosis of electrical fault type specially, needs can carry out targetedly electrical fault diagnosis, the impact that not caused diagnosis by the carbon dioxide (CO2) that produces due to solid insulation class fault and carbon monoxide (CO).When the carbon dioxide (CO2) producing when solid insulation class fault and carbon monoxide (CO), the secondary detection determining method that the present invention provides is based on lot of experiments data, according to solution gas gas type in electrical fault aerogenesis rule and oil, different electrical faults and when there is solid insulation class fault, draw have an electrical failure analysis methods of better distinguishing effect, the method judging by secondary detection has realized the detection validation to various electrical faults, has strengthened application and the reliability of electrical fault detection system.
Below the electrical fault detection system of transmitting transformer is described in detail:
Particularly, demonstrate as shown in Figure 3 the electrical fault detection system workflow of transmitting transformer of the present invention sketch,
Step 1: first start early warning operation steps, i value is set, K value and counter N zero clearing, i=1 wherein, i, K is integer, K≤6, be preferably 3, in concentration of component detection module, detect each gas composition (H2, CH4, C2H4, C2H6, C2H2, six kinds of components such as total hydrocarbon) concentration obtains each concentration value Di (D1, D2, D3, D4, D5, D6), whether the concentration value that judges successively each gas composition has exceeded ultimate value Di0 (D10 separately, D20, D30, D40, D50, D60), once corresponding gas composition value of going beyond the limit of, carry out 1 operation that adds of counter N, when counter N is more than or equal to K, when the gas composition quantity of the value of going beyond the limit of surpasses K, start and enter testing,
Step 2: after entering testing, detection draws characteristic gas (H2, CH4, C2H4, C2H6, five kinds of components such as C2H2) group component (it should be noted that, for simplicity, in Fig. 3, use H2, CH4, C2H4, C2H6, C2H2 represents respectively each group component, and total hydrocarbon content represents with CnHn, A representative is used for judging whether to exist the first threshold of electrical fault, B representative is used for judging whether to exist the Second Threshold of solid insulation class fault, V1, V2, V3, V4, V5, V6 represents respectively correlation experience value or threshold value is set), when each group component meets the condition of (C2H2+H2)/CnHn >=A, show that now acetylene and hydrogen are principal character gas, there is electrical likelihood of failure, if while not meeting the condition of (C2H2+H2)/CnHn >=A, likely there is superheating, start superheating judgement and testing process.Meet the warning that above-mentioned condition can start electrical fault, electrical fault diagnosis is carried out in prompting.
Step 3: judge whether to enter secondary detection determining method based on (CO+CO2)/CnHn >=B that whether satisfies condition and still enter three-ratio method and carry out fault detect, when satisfying condition (CO+CO2)/CnHn >=B, show the carbon dioxide (CO2) and the carbon monoxide (CO) that now have excessive solid insulation class fault to produce, now need choice for use secondary detection determining method, if do not meet (CO+CO2)/CnHn >=B, show excessive solid insulation class fault does not occur, can continue to use three-ratio method.
Step 4: the concrete deterministic process of above-mentioned secondary detection determining method is as follows:
1). when satisfied (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, may there is high energy arc discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, postponing certain t time, to carry out secondary detection be in order to increase the time span of detection again, while guaranteeing to detect, can not be subject to the impact of other factors to improve precision, if still meet (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, now show to exist high energy arc discharge fault,
2). when meeting CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, may there is spark discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, now show to exist spark discharge fault;
3). when meeting CH4/CnHn > V5 and (H2+C2H2)/CnHn > V6, may there is partial discharges fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CH4/CnHn > V5 and (H2+C2H2)/CnHn > V6, now show to exist partial discharges fault.
As mentioned above, A, B, V1, V2, V3, V4, V5, it can be empirical value that the numerical value of V6 is selected, the range of choice of above-mentioned numerical value can be A=70-85%, B=15-30%, V1=55-85%, V2=42-74%, V3=35-55%, V4=35-90%, V5=72-90%, V6=80-90%.It should be noted that, according to different transformer material and models, can draw different numerical range selections, above-mentioned numerical value is the empirical value providing on the basis of 10KV level D9 series three phase oil immersed type transmitting transformer, measure by experiment, by the electrical fault detection system of transmitting transformer of the present invention, greatly improved the recognition capability for the electrical fault of transformer, fault accuracy rate is compared single three-ratio method lifting largely.
With this simultaneously, after starting three-ratio method coding judge module, extract five required characteristic gas component numerical value and carry out corresponding fault type judgement.Do not repeat the specific implementation process of three-ratio method herein.
Although illustrated and described embodiments of the invention, for the ordinary skill in the art, be appreciated that without departing from the principles and spirit of the present invention and can carry out multiple variation, modification, replacement and modification to these embodiment, simultaneously, the cited formula of the present invention, symbol (order mark i for example, threshold k, counter N etc.) etc. implication is the habitual implication in this area, and scope of the present invention is by claims and be equal to and limit.The convenience that the accompanying drawing simultaneously providing in instructions is only understood as instructions, does not carry out any restriction to claim, and process flow diagram is only also that the simplification of making as the convenience of understanding is processed, and does not cause and discloses inadequate defect etc.
Claims (4)
1. the electrical fault detection system of transmitting transformer, comprises the following steps:
Step 1: first start early warning operation steps, i value, K value and counter N zero clearing are set, i=1 wherein, for integer, K≤6, be preferably 3, the concentration that detects each gas composition in concentration of component detection module obtains each concentration value Di, whether the concentration value that judges successively each gas composition has exceeded ultimate value Di0 separately, once corresponding gas composition value of going beyond the limit of, carries out 1 operation that adds of counter N, when counter N is more than or equal to K, when the gas composition quantity of the value of going beyond the limit of surpasses K, start and enter testing;
Step 2: after entering testing, detection draws the group component of characteristic gas, when each group component meets the condition of (C2H2+H2)/CnHn >=A, show to exist electrical likelihood of failure, if while not meeting the condition of (C2H2+H2)/CnHn >=A, likely there is superheating possibility, start superheating judgement and testing process; Meet the warning that above-mentioned condition can start electrical fault, electrical fault diagnosis is carried out in prompting;
Step 3: judge whether to enter secondary detection determining method based on (CO+CO2)/CnHn >=B that whether satisfies condition and still enter three-ratio method and carry out fault detect, when satisfying condition (CO+CO2)/CnHn >=B, show the carbon dioxide (CO2) and the carbon monoxide (CO) that now have excessive solid insulation class fault to produce, now need choice for use secondary detection determining method, if do not meet (CO+CO2)/CnHn >=B, show excessive solid insulation class fault does not occur, can continue to use three-ratio method.
Step 4: the concrete deterministic process of above-mentioned secondary detection determining method is as follows:
1). when satisfied (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, may there is high energy arc discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet (C2H2+H2)/(H2+CnHn) > V1 and H2/CnHn > V2, now show to exist high energy arc discharge fault;
2). when meeting CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, may there is spark discharge fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CnHn/ (H2+CnHn) < V3 and H2/CnHn > V4, now show to exist spark discharge fault;
3). when meeting CH4/CnHn > V5 and H2+C2H2/CnHn > V6, may there is partial discharges fault in indication transformer, now needing to carry out secondary detection said components content further judges, and need to postpone the t time before secondary detection, if still meet CH4/CnHn > V5 and H2+C2H2/CnHn > V6, now show to exist partial discharges fault;
In above formula, H2, CH4, C2H4, C2H6, C2H2, CO, CO2 represents respectively each group component, total hydrocarbon content represents with CnHn, A representative is used for judging whether to exist the first threshold of superheating, and B representative is used for judging whether to exist the Second Threshold of solid insulation class fault, V1, V2, V3, V4, V5, V6 represents respectively correlation experience value or threshold value is set.
2. according to the electrical fault detection system of the transmitting transformer of claim 1, it is characterized in that, each gas composition comprises H2, CH4, C2H4, C2H6, C2H2, total hydrocarbon.
3. according to the electrical fault detection system of the transmitting transformer of claim 1, it is characterized in that, generally, K can be set to K≤6, is preferably 3.
4. according to the electrical fault detection method of the transmitting transformer of claim 1, it is characterized in that A=70-85%, B=15-30%, V1=55-85%, V2=42-74%, V3=35-55%, V4=35-90%, V5=72-90%, V6=80-90%.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001268780A (en) * | 2000-03-16 | 2001-09-28 | Kawasaki Steel Corp | Transformer and detecting method for its insulation failure |
| CN102411106A (en) * | 2011-11-18 | 2012-04-11 | 广东电网公司广州供电局 | Fault monitoring method and device for power transformer |
| DE102011082866A1 (en) * | 2011-09-16 | 2013-03-21 | Olaf Rudolph | A method of detecting one or more simultaneous co-loading sources |
| CN103399237A (en) * | 2013-08-06 | 2013-11-20 | 华北电力大学 | Method for detecting failure of oil-immersed transformer |
| CN103630768A (en) * | 2012-08-23 | 2014-03-12 | 天津市电力公司 | Method for diagnosing transformer fault in transformer station |
-
2014
- 2014-07-16 CN CN201410341278.5A patent/CN104076231A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001268780A (en) * | 2000-03-16 | 2001-09-28 | Kawasaki Steel Corp | Transformer and detecting method for its insulation failure |
| DE102011082866A1 (en) * | 2011-09-16 | 2013-03-21 | Olaf Rudolph | A method of detecting one or more simultaneous co-loading sources |
| CN102411106A (en) * | 2011-11-18 | 2012-04-11 | 广东电网公司广州供电局 | Fault monitoring method and device for power transformer |
| CN103630768A (en) * | 2012-08-23 | 2014-03-12 | 天津市电力公司 | Method for diagnosing transformer fault in transformer station |
| CN103399237A (en) * | 2013-08-06 | 2013-11-20 | 华北电力大学 | Method for detecting failure of oil-immersed transformer |
Non-Patent Citations (3)
| Title |
|---|
| 孙绪臣: "油浸式电力变压器内部放电故障分析", 《煤矿机电》 * |
| 王致杰等: "《电力设备状态检测与故障诊断》", 31 May 2012 * |
| 董其国等: "《电力变压器故障与诊断》", 30 April 2001 * |
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