CN102522705B - Transformer maintenance method and device - Google Patents
Transformer maintenance method and device Download PDFInfo
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- CN102522705B CN102522705B CN201110373301.5A CN201110373301A CN102522705B CN 102522705 B CN102522705 B CN 102522705B CN 201110373301 A CN201110373301 A CN 201110373301A CN 102522705 B CN102522705 B CN 102522705B
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Abstract
The invention provides a transformer maintenance method, which comprises the steps of: according to the history fault situations and the treatment measures of an oil-immersed transformer, building fault diagnosis guidelines, wherein the fault diagnosis guidelines comprise a fault part library, a defect description library, a symptom library, a fault cause library and a treatment measure library; building an association relationship among the fault part library, the symptom library, the defect description library, the fault cause library and the treatment measure library to form a fault diagnosis knowledge library; obtaining the actual symptom of the oil-immersed transformer; and matching the actual symptom and the actual defect description with the fault diagnosis knowledge library to obtain corresponding treatment measures. The invention additionally provides a transformer maintenance device, which has the advantages that the device can be used for the fault pre-diagnosis of the oil-immersed transformer, the power operation cost is reduced and the working efficiency is improved.
Description
Technical field
The present invention relates to field of electrical equipment, be specifically related to a kind of transformer maintenance method and device.
Background technology
In the transmission and delivery process of electric energy, power transformer is the core of power conversion, transmission, is the only way which must be passed of national economy all trades and professions and huge numbers of families' energy source, is equipment that is most important in electrical network and most critical.And transformer is in running, due to by environment and influencing factor such as aging itself, causes the decline of electric property, insulation property and mechanical performance etc., thus various fault may be produced.The common fault that is in operation of such as oil-filled transformer has the fault etc. of winding, sleeve pipe and shunting switch and iron core, fuel tank and other annex.
At present oil-filled transformer is still rested on when an error occurs, just remove analysis of failure, record corresponding information, then according to the information analysis of record, obtain corresponding treatment measures; Mainly by manual analysis, inefficiency; Can not carry out effective accident analysis before fault occurs, to prevent the generation of fault, equipment easily damages, and increases operation power cost.
Summary of the invention
Order of the present invention is to propose a kind of transformer maintenance method, can carry out analyzing and testing, take preventive measures before fault occurs, reduce operation power cost before fault occurs; Increase work efficiency.
The technical scheme adopted for above-mentioned purpose is:
A kind of transformer maintenance method, comprises step:
(1) according to historical failure situation and the treatment measures thereof of oil-filled transformer, failure diagnosis directive/guide is set up; Described failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; It is the set that defect describes that described defect describes storehouse, and described defect describes the declaration of will be used for the abnormality of equipment; Described sign phenomenon storehouse is the set of sign phenomenon, and described sign phenomenon is used for the declaration of will to the equipment state drawn according to device parameter analysis;
(2) set up described trouble unit storehouse, described defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse and described trouble unit storehouse, described sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base; Described step (2) is specially: describe storehouse to described sign phenomenon storehouse and described defect and classify; Set up described trouble unit storehouse, sorted defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse, and described trouble unit storehouse, sorted sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base;
(3) obtain the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects to describe;
Carry out fault diagnosis algorithm analysis according to described virtual condition parameter and described equipment nameplate parameter, obtain actual sign phenomenon;
(4) described actual sign phenomenon, described actual defects are described and mate with described fault diagnosis knowledge base, obtain corresponding treatment measures.
The historical failure situation of the present invention by the oil-filled transformer to record and the treatment measures of correspondence, set up failure diagnosis directive/guide; By describing storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse set up failure diagnosis information model to the trouble unit in failure diagnosis directive/guide, defect, namely be the trouble unit set up in failure diagnosis directive/guide, defect describes the incidence relation in storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base; In transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects describe, then carry out fault diagnosis algorithm analysis, obtain actual sign phenomenon; Actual sign phenomenon and actual defects are described in fault diagnosis knowledge base and mate, obtain corresponding treatment measures.According to the inventive method, according to the running status of equipment, the fault obtaining occurring can be analyzed in advance, takes preventive measures, operation power cost can be reduced; Increase work efficiency.
The present invention also aims to propose a kind of transformer attending device, analyzing and testing can be carried out before fault occurs, take preventive measures before fault occurs, reduce operation power cost; Increase work efficiency.
The technical scheme adopted for above-mentioned purpose is:
A kind of transformer attending device, comprising:
Initialization unit, for according to the historical failure situation of oil-filled transformer and treatment measures thereof, sets up failure diagnosis directive/guide; Described failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; It is the set that defect describes that described defect describes storehouse, and described defect describes the declaration of will be used for the abnormality of equipment; Described sign phenomenon storehouse is the set of sign phenomenon, and described sign phenomenon is used for the declaration of will to the equipment state drawn according to device parameter analysis;
Failure modes unit, classifies for describing storehouse to described sign phenomenon storehouse and described defect;
Fault diagnosis knowledge base generation unit, for setting up described trouble unit storehouse, described defect describes storehouse, described failure cause storehouse and described treatment measures storehouse and described trouble unit storehouse, described sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base; When described fault diagnosis knowledge base generation unit forms fault diagnosis knowledge base, set up described trouble unit storehouse, sorted defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse, and described trouble unit storehouse, sorted sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base;
Acquiring unit, describes for obtaining the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects;
Accident analysis unit, for carrying out fault diagnosis algorithm analysis according to described virtual condition parameter and described equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit, for described actual sign phenomenon, described actual defects are described and mated with described fault diagnosis knowledge base, obtains corresponding treatment measures.
The historical failure situation of the present invention by the oil-filled transformer to record and the treatment measures of correspondence, set up failure diagnosis directive/guide; By describing storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse set up failure diagnosis information model to the trouble unit in failure diagnosis directive/guide, defect, namely be the trouble unit set up in failure diagnosis directive/guide, defect describes the incidence relation in storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base; In transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects describe, then carry out fault diagnosis algorithm analysis, obtain actual sign phenomenon; Actual sign phenomenon and actual defects are described in fault diagnosis knowledge base and mate, obtain corresponding treatment measures.According to the inventive method, according to the running status of equipment, the fault obtaining occurring can be analyzed in advance, and then takes preventive measures, operation power cost can be reduced; Increase work efficiency.
Accompanying drawing explanation
Fig. 1 is a schematic flow sheet of the inventive method;
Fig. 2 is a structural representation of apparatus of the present invention;
Fig. 3 is another structural representation of apparatus of the present invention.
Embodiment
For ease of understanding the present invention, below in conjunction with accompanying drawing, the present invention is set forth.
Please refer to Fig. 1, the present invention proposes a kind of transformer maintenance method, comprises step:
101, failure diagnosis directive/guide is set up;
According to historical failure situation and the treatment measures thereof of oil-filled transformer, set up failure diagnosis directive/guide; Failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse.
Wherein, it is the set that defect describes that defect describes storehouse, and defect describes the declaration of will be used for the abnormality of equipment; For oil-filled transformer, such as: " in oil, C2H4, CO, CO2 content increases very fast, cryogenic overheating ", " sleeve pipe oil level obviously declines " or " cooler oil pump has different sound " etc.Sign phenomenon storehouse is the set of sign phenomenon, and sign phenomenon is used for the declaration of will to the equipment state drawn according to device parameter analysis; For oil-filled transformer, such as: " transition resistance exceeds standard; be greater than positive and negative 10% with factory-said value error ", " oil dissolved gas exceeds standard; wherein key gas H2 is greater than 500 μ L/L; CH4 is greater than 100 μ L/L; in 500kV grade, C2H2 is greater than 1 μ L/L, and in 220kV and following electric pressure, C2H2 is greater than 2 μ L/L " or " contact resistance is greater than 500 μ Ω " etc.
102, set up failure diagnosis information model, form knowledge base;
Set up trouble unit, defect describe storehouse, the incidence relation in failure cause storehouse and treatment measures storehouse and trouble unit storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse incidence relation, form fault diagnosis knowledge base.
Concrete, above-mentioned incidence relation can be a kind of Logic judgment, as:
(1) faulty equipment: tap changer;
Sign phenomenon: contact resistance is greater than 500 μ Ω;
Failure cause: long-term running overload, high oil temperature, acts frequently, and carbon film and grease or contact are burnt to cause contact surface to occur;
Treatment measures: the carbon film of cleaning tapping switch contact and grease, serious being changed of burning.
So set up: the incidence relation of " faulty equipment-sign phenomenon-failure cause-treatment measures "; When the actual sign phenomenon obtained is: when the contact resistance of tap changer is 600 μ Ω, may occur tap changer is burnt out, the reason caused may be long-term running overload, high oil temperature, act frequently, carbon film and grease or contact are burnt to cause contact surface to occur, can take the treatment measures of " carbon film of cleaning tapping switch contact and grease, serious being changed of burning ".
(2) and for example:
Faulty equipment: cooling device;
Defect describes: cooler oil pump has different sound;
Failure cause: damage, wearing and tearing, bite;
Treatment measures: stoppage in transit oil-immersed pump change oil-immersed pump immediately;
According to foregoing description, set up the incidence relation of " faulty equipment-defect description-failure cause-treatment measures "; When the actual defects of cooling device obtained is described as " cooler oil pump has different sound ", the treatment measures of " immediately stoppage in transit oil-immersed pump change oil-immersed pump " can be provided.
103, transformer practical operation situation is obtained;
Obtain the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects to describe.Wherein, virtual condition parameter comprises the parameters such as voltage, electric current and temperature; Equipment nameplate parameter comprises the device parameters such as device name, rated voltage and rated power.
104, analysis is carried out to practical operation situation and obtain analysis result;
Carry out fault diagnosis algorithm analysis according to virtual condition parameter and equipment nameplate parameter, obtain actual sign phenomenon.
105, analysis result is mated in knowledge base, obtain treatment measures.
Actual sign phenomenon, actual defects are described and mate with fault diagnosis knowledge base, obtains corresponding treatment measures.
The historical failure situation of the present invention by the oil-filled transformer to record and the treatment measures of correspondence, set up failure diagnosis directive/guide; By describing storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse set up failure diagnosis information model to the trouble unit in failure diagnosis directive/guide, defect, namely be the trouble unit set up in failure diagnosis directive/guide, defect describes the incidence relation in storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base; In transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects describe, then carry out fault diagnosis algorithm analysis, obtain actual sign phenomenon; Actual sign phenomenon and actual defects are described in fault diagnosis knowledge base and mate, obtain corresponding treatment measures.According to the inventive method, according to the running status of equipment, the fault obtaining occurring can be analyzed in advance, and then takes preventive measures, operation power cost can be reduced; Increase work efficiency.
Because the parts of power equipment are various, there will be various types of fault, like this when setting up the incidence relation of " faulty equipment-sign phenomenon-failure cause-treatment measures ", need to take the more time, and when obtaining actual sign phenomenon and mating with fault diagnosis knowledge base, the more time being taken, in order to solve this deficiency, can improve as follows above-described embodiment:
In above-mentioned 102 steps, first storehouse is described to sign phenomenon storehouse and accident defect and classify;
Set up trouble unit storehouse again, sorted defect describe storehouse, the incidence relation in failure cause storehouse and treatment measures storehouse, and trouble unit storehouse, sorted sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse incidence relation; Form fault diagnosis knowledge base.
Wherein, in above-mentioned 104 steps, fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
Conveniently user obtains treatment measures intuitively, can by treatment measures according to: the form of trouble unit, maintenance mode, maintenance content and points for attention provides.
Introduce device of the present invention below, please refer to Fig. 2, a kind of transformer attending device, comprising:
Initialization unit T1, for according to the historical failure situation of oil-filled transformer and treatment measures thereof, sets up failure diagnosis directive/guide; Failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
Fault diagnosis knowledge base generation unit T2, for setting up trouble unit storehouse, defect describes storehouse, failure cause storehouse and treatment measures storehouse and trouble unit storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse incidence relation, form fault diagnosis knowledge base;
Acquiring unit T3, describes for obtaining the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects;
Accident analysis unit T4, for carrying out fault diagnosis algorithm analysis according to virtual condition parameter and equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit T5, for actual sign phenomenon, actual defects are described and mated with fault diagnosis knowledge base, obtains corresponding treatment measures.
The historical failure situation of the present invention by the oil-filled transformer to record and the treatment measures of correspondence, set up failure diagnosis directive/guide; By describing storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse set up failure diagnosis information model to the trouble unit in failure diagnosis directive/guide, defect, namely be the trouble unit set up in failure diagnosis directive/guide, defect describes the incidence relation in storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base; In transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects describe, then carry out fault diagnosis algorithm analysis, obtain actual sign phenomenon; Actual sign phenomenon and actual defects are described in fault diagnosis knowledge base and mate, obtain corresponding treatment measures.According to the inventive method, according to the running status of equipment, the fault obtaining occurring can be analyzed in advance, and then takes preventive measures, operation power cost can be reduced; Increase work efficiency.
In order to save the time of Analysis on Fault Diagnosis, following improvement can being done to above-described embodiment, please refer to Fig. 3, increasing in above-mentioned trouble-shooter: failure modes unit T6, classifying for describing storehouse to sign phenomenon storehouse and accident defect;
When fault diagnosis knowledge base generation unit T2 forms fault diagnosis knowledge base, set up trouble unit storehouse, sorted defect describe storehouse, the incidence relation in failure cause storehouse and treatment measures storehouse,
And trouble unit storehouse, sorted sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse incidence relation; Form fault diagnosis knowledge base.
Wherein, above-mentioned fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
In order to make user get treatment measures intuitively, can provide by the form of " trouble unit, maintenance mode, maintenance content and points for attention ".
Above-described embodiment of the present invention, does not form limiting the scope of the present invention.Any amendment done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within claims of the present invention.
Claims (6)
1. a transformer maintenance method, is characterized in that, comprises step:
(1) according to historical failure situation and the treatment measures thereof of oil-filled transformer, failure diagnosis directive/guide is set up; Described failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; It is the set that defect describes that described defect describes storehouse, and described defect describes the declaration of will be used for the abnormality of equipment; Described sign phenomenon storehouse is the set of sign phenomenon, and described sign phenomenon is used for the declaration of will to the equipment state drawn according to device parameter analysis;
(2) set up described trouble unit storehouse, described defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse and described trouble unit storehouse, described sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base; Described step (2) is specially: describe storehouse to described sign phenomenon storehouse and described defect and classify; Set up described trouble unit storehouse, sorted defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse, and described trouble unit storehouse, sorted sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base;
(3) obtain the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects to describe;
(4) carry out fault diagnosis algorithm analysis according to described virtual condition parameter and described equipment nameplate parameter, obtain actual sign phenomenon;
(5) described actual sign phenomenon, described actual defects are described and mate with described fault diagnosis knowledge base, obtain corresponding treatment measures.
2. transformer maintenance method according to claim 1, is characterized in that,
Described fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
3. the transformer maintenance method according to any one of claim 1 to 2, is characterized in that,
The treatment measures of described correspondence comprise: trouble unit, processing mode, contents processing and points for attention.
4. a transformer attending device, is characterized in that, comprising:
Initialization unit, for according to the historical failure situation of oil-filled transformer and treatment measures thereof, sets up failure diagnosis directive/guide; Described failure diagnosis directive/guide comprises: trouble unit storehouse, defect describe storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; It is the set that defect describes that described defect describes storehouse, and described defect describes the declaration of will be used for the abnormality of equipment; Described sign phenomenon storehouse is the set of sign phenomenon, and described sign phenomenon is used for the declaration of will to the equipment state drawn according to device parameter analysis;
Failure modes unit, classifies for describing storehouse to described sign phenomenon storehouse and described defect;
Fault diagnosis knowledge base generation unit, for setting up described trouble unit storehouse, described defect describes storehouse, described failure cause storehouse and described treatment measures storehouse and described trouble unit storehouse, described sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base; When described fault diagnosis knowledge base generation unit forms fault diagnosis knowledge base, set up described trouble unit storehouse, sorted defect describe storehouse, the incidence relation in described failure cause storehouse and described treatment measures storehouse, and described trouble unit storehouse, sorted sign phenomenon storehouse, described failure cause storehouse and described treatment measures storehouse incidence relation, form fault diagnosis knowledge base;
Acquiring unit, describes for obtaining the virtual condition parameter of oil-filled transformer, equipment nameplate parameter and actual defects;
Accident analysis unit, for carrying out fault diagnosis algorithm analysis according to described virtual condition parameter and described equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit, for described actual sign phenomenon, described actual defects are described and mated with described fault diagnosis knowledge base, obtains corresponding treatment measures.
5. transformer attending device according to claim 4, is characterized in that,
Described fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
6. the transformer attending device according to any one of claim 4 to 5, is characterized in that,
The treatment measures of described correspondence comprise: trouble unit, processing mode, contents processing and points for attention.
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| CN201110373301.5A CN102522705B (en) | 2011-11-22 | 2011-11-22 | Transformer maintenance method and device |
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| CN105911407B (en) * | 2016-04-07 | 2018-08-17 | 国网山东省电力公司电力科学研究院 | Associated transformer state fuzzy set can be opened up to appraisal procedure based on matter-element augmentation |
| CN105737903A (en) * | 2016-04-27 | 2016-07-06 | 於斌 | Intelligent pre-diagnosis and maintenance intelligent early warning method for faults of port machinery |
| CN110068746A (en) * | 2019-04-11 | 2019-07-30 | 云南电网有限责任公司 | Gird fault diagnosis method and system |
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| CN101135601A (en) * | 2007-10-18 | 2008-03-05 | 北京英华达电力电子工程科技有限公司 | Rotating machinery vibrating failure diagnosis device and method |
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Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD. Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee before: Electrical Power Research Institute of Guangdong Power Grid Corporation |