CN106446426B - A kind of power transformer appraisal procedure based on health index - Google Patents
A kind of power transformer appraisal procedure based on health index Download PDFInfo
- Publication number
- CN106446426B CN106446426B CN201610865178.1A CN201610865178A CN106446426B CN 106446426 B CN106446426 B CN 106446426B CN 201610865178 A CN201610865178 A CN 201610865178A CN 106446426 B CN106446426 B CN 106446426B
- Authority
- CN
- China
- Prior art keywords
- transformer
- health
- index
- data
- health index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000036541 health Effects 0.000 title claims abstract description 92
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012360 testing method Methods 0.000 claims abstract description 30
- 238000011156 evaluation Methods 0.000 claims abstract description 20
- 238000009666 routine test Methods 0.000 claims abstract description 12
- 238000010219 correlation analysis Methods 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 claims abstract description 11
- 238000013210 evaluation model Methods 0.000 claims abstract description 9
- 238000013139 quantization Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 7
- 230000000717 retained effect Effects 0.000 claims abstract description 3
- 230000003862 health status Effects 0.000 claims description 30
- HYBBIBNJHNGZAN-UHFFFAOYSA-N furfural Chemical compound O=CC1=CC=CO1 HYBBIBNJHNGZAN-UHFFFAOYSA-N 0.000 claims description 20
- 230000007547 defect Effects 0.000 claims description 19
- 238000009413 insulation Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 16
- 238000006116 polymerization reaction Methods 0.000 claims description 9
- 238000004804 winding Methods 0.000 claims description 9
- 238000007689 inspection Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 8
- 230000015556 catabolic process Effects 0.000 claims description 7
- 238000001816 cooling Methods 0.000 claims description 6
- 230000006866 deterioration Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000002950 deficient Effects 0.000 claims description 5
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 239000002253 acid Substances 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims description 2
- 230000010287 polarization Effects 0.000 claims description 2
- 239000007789 gas Substances 0.000 description 13
- 230000008569 process Effects 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 6
- 230000032683 aging Effects 0.000 description 5
- 229930195733 hydrocarbon Natural products 0.000 description 5
- 238000007619 statistical method Methods 0.000 description 5
- 239000000126 substance Substances 0.000 description 5
- 230000009466 transformation Effects 0.000 description 5
- 239000004215 Carbon black (E152) Substances 0.000 description 4
- 150000002430 hydrocarbons Chemical class 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 230000001131 transforming effect Effects 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 238000006731 degradation reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000001257 hydrogen Substances 0.000 description 3
- 229910052739 hydrogen Inorganic materials 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical group O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical group [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 230000033001 locomotion Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 229920002678 cellulose Polymers 0.000 description 1
- 239000001913 cellulose Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000000593 degrading effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 238000009422 external insulation Methods 0.000 description 1
- 150000002431 hydrogen Chemical class 0.000 description 1
- -1 hydrogen hydrocarbon Chemical class 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 238000001757 thermogravimetry curve Methods 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/04—Ageing analysis or optimisation against ageing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Public Health (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Housings And Mounting Of Transformers (AREA)
Abstract
The power transformer appraisal procedure based on health index that the invention discloses a kind of, comprising the following steps: establish the Quantization Index System of power transformer；The historical state data of acquisition power transformer and current status data, essential information data, routine test data and operation/maintenance data including power transformer；The exceptional value that transformer fault reason generates is retained to the processing of test data normal stateization to the data of acquisition using statistical tool；The method analyzed by common coefficient, to determine the relevance of each variable in acquisition data；By common factor correlation analysis method, contribution margin of each evaluation index when evaluating transformer general health is obtained；Transformer health index evaluation model is established, calculating transformer health index evaluates transformer holistic health according to health index.The present invention being capable of thoroughly evaluating transformer holistic health.
Description
Technical field
The present invention relates to power transmission and transformation equipment states to evaluate field, and in particular to a kind of power transformer based on health index
Appraisal procedure.
Background technique
Hub device of the power transformer as power grid, relationship power network safety operation, be it is the most expensive in power grid and
Part and parcel.Every year since direct caused by scheduled outage maintenance, indirect expense number is huge, social influence is even more hardly possible
To measure.For the defect for the power transmission and transforming equipment that accurately and efficiently finds to put into operation, failure rate is reduced, reduces operation risk, currently,
The mode of repair based on condition of component is taken both at home and abroad.This maintenance mode depends on scientific, complete for power equipment health status and risk
Face ground evaluation index system and calculation method.It therefore, is the power transmission and transforming equipment life-cycle for power transformer health Evaluation
Important link in cycle evaluation.
There is research using transformer oil characterisitic parameter as main feature amount, the insulated aging life-span of transformer is commented
Estimate, still, the characteristic parameter of reflection transformer health status is to be related to the index system of many-sided multivariable.
Currently, the determination of each index weights does not carry out index relationship deep usually according to expertise or technical standard
Enter research.
Summary of the invention
To solve the shortcomings of the prior art, the power transformer assessment based on health index that the invention discloses a kind of
It is pre- to improve transformer the purpose of the present invention is establishing the transformer synthesis health Evaluation model based on health index for method
Accuracy is surveyed, guarantees the reliable and stable operation of transformer.
To achieve the above object, concrete scheme of the invention is as follows:
A kind of power transformer appraisal procedure based on health index, comprising the following steps:
Establish the Quantization Index System of power transformer；
The historical state data of acquisition power transformer and current status data；
What transformer fault reason generated is retained to the processing of test data normal stateization to the data of acquisition using statistical tool
Exceptional value；
The method analyzed by common coefficient, to determine the relevance of each variable in acquisition data；
By common factor correlation analysis method, obtain each evaluation index when evaluating transformer general health
Contribution margin；
Transformer health index evaluation model is established, calculating transformer health index evaluates transformer according to health index
Holistic health.
Further, the historical state data of the power transformer includes the fortune inspection data of power transformer, family lacks
It falls into, the current status data of equipment essential information, load data, power transformer includes the routine test number of power transformer
According to.
Further, the method analyzed by common coefficient, it is first when relevance to determine each variable in acquisition data
First determination has the non-quantization factor and common factor centainly influenced on test result, and the correlation degree of common factor and each variable is got over
High coefficient value is bigger, and the correlation degree between common factor is mutual.
Further, common factor correlation analysis method is specifically and is obtained using statistical tool public between multivariable
Correlate degree analysis chart show that relationship and each evaluation index between each parameter are evaluating transformer general health according to the figure
Contribution margin when situation.
Further, it is mainly as follows to calculate step for transformer health index:
1) on the basis of common factor correlation analysis, contribution margin of the analysis common factor to health index；
2) weight of each health indicator is determined；
3) it is provided according to expertise and standard, formulates modifying factor；
4) weight is corrected by modifying factor；
5) it obtains health index, evaluates transformer holistic health.
Further, according to power transformer difference component, layering assessment is carried out to health status, calculation formula is as follows:
In formula, KiFor weight, HIFiFor health index, HIFmaxCorresponding health index when best for health status.
Further, transformer health status evaluation factor specifically includes: the paper insulation degree of polymerization, furfural, oil in solution gas
Body, moisture, acid value, breakdown voltage, oil loss factor, infrared measurement of temperature, defective data, load histories, visual examination, equipment
It is essential information and routine test, casing-appearance, casing-infrared measurement of temperature, casing-oil dissolved gas, casing-insulation resistance, cold
But system-tour record, tap switch-tour record, tap switch-operation data, tap switch-acting characteristic, tap are opened
Gas and non-ionizing energy loss-tour record are decomposed in pass-oil.
Further, defective data includes equipment itself and family's defect two parts, defect record should comprising operational inspection,
Maintenance tour, live detection, the defect found in maintenance process, fault grading and defect elimination disposition.
Further, equipment essential information mainly includes transformer name plate information, voltage class, capacity, short-circuit impedance；Example
Row test includes winding D.C. resistance, winding dielectric dissipation factor, capacitance, frequency response test, winding insulation resistance, absorbs
Than or polarization index and leakage current.
Further, the classification of transformer health status is carried out according to health index:
Health index 85~100, transformer health status: situation is splendid；
Health index 70~85, transformer health status: situation is good；
Health index 50~70, transformer health status: good；
Health index 30~50, transformer health status: poor；
Health index 0~30, transformer health status: deterioration is serious.
Beneficial effects of the present invention:
The present invention comprehensively considers transformer history and current status data, including essential information, routine test, O&M number
According to.
The present invention use statistical tool, be based on test data, between each parameter of transformer relationship and each parameter
It to the contribution margin of total health indicator, analyzes and researches, derives each index weights, provide the calculating process of health index.
The present invention establishes power transformer index system from layering and starts with, and then by using statistical tool SPSS, to 87
Group transformer oil sample test data is analyzed, and has studied relationship between each factor and each parameter to total health index
Contribution margin.Index system can be realized and be weighted using statistical tool SPSS, establish health indicator computation model.Future can grind this
Study carefully and is extended to power transmission and transforming equipment evaluation field popularization and application.
Health index assessment models expanded application based on SPSS analysis uses SPSS in power transmission and transforming equipment, to various kinds of equipment
It is analyzed, assigns weight, and carry out comprehensively dividing index evaluation its health status.
Detailed description of the invention
Fig. 1 common factor correlation analysis figure；
Health index evaluation model of the Fig. 2 based on Contribution Analysis.
Specific embodiment:
The present invention is described in detail with reference to the accompanying drawing:
The present invention establishes the transformer synthesis health Evaluation model based on health index, and the model is to transformer point
Layer, sub-unit carry out many reference amounts statistical analysis, for historical data (fortune inspection data, family's defect, equipment essential information, load)
With two levels of as-is data (routine test data), and different components, Quantization Index System is established.It proposes using statistics work
Have SPSS (statistical product and service solutions), the relationship between research each parameter of transformer
On the basis of, it obtains the public parameter degree of association and the contribution margin to health index, finally determines quantization weight using statistical method
And the health index evaluation model based on Contribution Analysis.Finally, being demonstrated by taking the transformer of Shandong Power actual motion as an example
Based on the validity of health index Transformer State Assessment model, scientific basis is provided for power transmission and transformation equipment state evaluation, maintenance.
In order to study power transformer health status, it is necessary first to establish index system.Reflect transformer health status
Characteristic quantity includes electrology characteristic, chemical characteristic, mechanical property and appearance presentation.It is divided into ontology, casing, tap from component level to open
It closes, cooling system and non-ionizing energy loss, each section proportion in evaluation are reflected by the calculating of final health index.
One, Oil-Paper Insulation is tested
Since oilpaper is under electricity, hot service condition, and with excessive oxygen, water function in environment, degrade, it can
Pass through aging substance (such as CO, CO of generation of degrading in test oil2, furfural etc.) and the paper insulation degree of polymerization, measure transformer health
Situation.
(1) the paper insulation degree of polymerization
The degree of polymerization reflects the tensile strength mechanical property of paper, and with new diseases, degree of polymerization criterion also can constantly more
Newly.Currently, it is believed that the new paper insulated degree of polymerization of transformer is mostly 1000 or so.Paper insulation degree of polymerization criterion such as 1 institute of table
Show.
1 paper insulation degree of polymerization limit value of table
(2) furfural
In cardboard deterioration process, cellulose macromolecule degradation after, just formation a kind of main oxygen helerocyclics.Transformation
Device operational process, influence furfural content because being known as many aspects, the manufacturing process including oilpaper ratio and itself, transformer fortune
Row time, service condition, load factor, transformer's oil-treatment mode.The failures such as insulation hot-spot aging, overload occur for transformer
Also furfural content can be caused to increase.For furfural content by transformer oil sampled measurements, content is low, shows transformer oilpaper intensity
Height, performance is good, and transformer integral status is good.
(3) oil dissolved gas
Oil dissolved gas is a kind of widely applied malfunction monitoring and preventive means.Transformer oil and Oil-Paper Insulation
Under electric heating stress long term, the change of molecular structure occurs, generates various characteristic gas, example by series of chemical
Such as hydrogen, hydrocarbon, hydro carbons.
Development certain methods, can be used for differentiating the ratio of oil dissolved gas to judge power transformer interior fault
Such as: overheat, bad electrical contact, shelf depreciation.CO/CO2< 5 shows oilpaper fast degradation.CO2When/CO > 7, show to insulate
Aging or large area cryogenic overheating failure.Certainly, when transformer breaks down, transformer oil can also decomposite CO, CO2Gas
Body.The either deterioration of transformer oilpaper or failure, can all be attributed to transformer health status, therefore, comprehensively consider CO, CO2。
Two, operation/maintenance data and routine test
Equipment essential information mainly includes transformer name plate information, voltage class, capacity, short-circuit impedance etc..Routine test
Including winding D.C. resistance, winding dielectric dissipation factor, capacitance, frequency response test, winding insulation resistance, absorptance or pole
Change index, leakage current etc., if meet technical stipulation requirement.
(1) defective data
Including equipment itself and family's defect two parts.Defect record should be maked an inspection tour, comprising operational inspection, maintenance with electric-examination
The defect surveyed, found in maintenance process, fault grading and defect elimination disposition.
(2) load histories
Equipment is in nearly 12 months, the maximum load value monthly recorded, and overload or long-term emergent overload operating provisions can make
Transformer performance deterioration.
(3) infrared measurement of temperature
Infrared thermal imagery can detect transformer body, pigtail splice, cable termination, and Infrared Thermogram, which is shown, should be no different room temperature
Liter, the temperature difference and/or relative temperature difference, can disclose inside transformer hidden danger.
(4) visual examination
Main to make an inspection tour record by consulting, equipment appearance is intact, foreign；Just whether lead and busbar connector, connector
Often；It whether reliable is grounded；Noise and vibration；Whether unobstructed foreign in air duct etc..
Three, transformer part
(1) transformer body
The important examination part of transformer health status, including core inductance, winding dielectric loss, short-circuit impedance, leakage current,
And oil test, infrared measurement of temperature and daily fortune examine data: situations such as appearance, short circuit current, leakage of oil.
(2) bushing shell for transformer
Whether met the requirements including oil dissolved gas, infrared measurement of temperature, dielectric loss, insulation resistance, external insulation creep distance.
(3) sub-connecting switch of transformer
The O&M debugging recording of tap switch, including leakage of oil, oil level, tap mechanism whether slide piece, whether switching times
More than regulation, on-line oil filter pressure whether abnormal and oil dissolved gas.
(4) transformer cooling system
It include mainly in Daily Round Check, whether motor fan operating condition, cooling device surface is cleaned, and whether air duct is unobstructed
Foreign, if having leakage of oil, water, whether controller is normal.
(5) non-ionizing energy loss
Including five building blocks such as light and heavy gas movement, pressure relief valve and oil temperature oil levels.
Single test data can reflect the performance in terms of transformer, if thoroughly evaluating transformer is wanted integrally to be good for
Health situation needs to integrate each test result and related defects information.The method for using health index herein, is determined, data
There are equipment essential information, live O&M record, routine test result etc. in source.Collect and arranges the levels skills such as country, industry, enterprise
Art standard, it is counter arrange, administrative provisions etc., using statistical tool, have studied the relationship of each index, indices divided and are added
Power.
Four multi-variables analyses based on statistical tool
(1) data normal state
The important assumed condition of multi-variables analysis is that data belong to normal distribution.Test result is usual and off-gauge normal state
Distribution, but there is the degree of deviation to some extent.Firstly, nonnormal data is carried out using transformation tool by SPSS tool
Normal stateization processing.SPSS is a kind of data statistic analysis tool, is docked convenient for data, has built-in VBA language, powerful statistics
Processing function.Using SPSS to the processing of test data normal stateization after, there are off-limits excessively high exceptional value in initial data,
It can be ignored in multi-variables analysis, need to pre-process exceptional value, retain the exceptional value that transformer fault reason generates.
(2) common coefficient is analyzed
A few class transformer testing projects as a result, there may be unknown relevance, the method analyzed by common coefficient,
To determine the relevance of each variable.SPSS tool is utilized herein, it is for statistical analysis to multiple test result, obtain different tests
Connection and influence of the public influence factor to each project between project.
Box represents test result in Fig. 1, and e1~e12 expression has the non-quantization factor centainly influenced, example on test result
Such as ambient temperature and humidity, electromagnetic environment interference, test error etc..C1~C5 is common factor, the correlation degree of they and each variable
Higher, coefficient value is bigger.Correlation degree between C1~C5 be it is mutual, indicated with four-headed arrow.
(3) common factor correlation analysis
In the evaluation of power transformer health status, the performance condition of Oil-Paper Insulation is one of most important index.
In general, the service life of Oil-Paper Insulation directly determines the oil-immersed transformer service life.Therefore, herein mainly for 87 groups of transformers
Oil sample test data, it is for statistical analysis, the relationship between each parameter is had studied first, secondly, showing that each evaluation index is being commented
Contribution margin when valence transformer general health.Common factor correlation analysis is shown in Fig. 1 between multivariable.
As shown in Figure 1, being divided into one group with similar property or the substance generated with same chemical reaction.Electricity,
Under hot service condition, when oilpaper degradation aging or transformer break down, gas CO, CO are decomposed in oil2Usually together and
Raw chemical product；Transformer well cuts, moisture content are higher, easier breakdown, the big parameter of this influence relationship, divide
It is same group.H2、CH4、C2H6It is the parameter of one group of highlights correlations, it is related to common factor C3.
Positive association degree is most strong between C2 and C3, is 0.53；The degree of association of C1 and C3 is taken second place, incidence coefficient 0.47；C4 with
Then be negative relevant relationship between C5.Relationship analysis between each characteristic parameter and common factor, to further determine that ginseng
Amount weight and health index are laid a good foundation.
Five, transformer health index evaluation model
Establish the health index model analyzed based on SPSS；The establishment process of the model includes:
Nonnormal data is carried out normal state processing using transformation tool by the multi-variables analysis based on statistical tool；
It is for statistical analysis to multiple test result using SPSS tool, obtain connection between different test items and
Influence of the public influence factor to each project；
It is mainly as follows that transformer health index calculates step:
1) on the basis of common factor relationship analysis, contribution margin of the analysis common factor to health index HI；
2) each health indicator weight is further determined；
3) it is provided according to expertise and standard, formulates modifying factor；
4) weight is corrected by modifying factor；
5) it obtains health index, evaluates transformer holistic health.
Wherein, the first step is crucial step, and the health index evaluation model based on Contribution Analysis is shown in Fig. 2.
As shown in Fig. 2, influence of the C4 to health index is maximum, including breakdown voltage, furfural, moisture these three ginsengs
Amount, therefore, assigns highest weighting to it in appraisement system.Transformer water content in oil in transformer insulated deterioration in characteristics process,
Important function is played.Furfural content reflects the performance of transformer Oil-Paper Insulation to a certain degree, and furfural content is higher, then table
Bright insulation performance is poorer.It is almost the same by statisticalling analyze the grouping obtained and weight and existing conclusion.To transformer health
When status evaluation, weight distribution is also needed further to be corrected using correction factor, make evaluation procedure closer to production scene
It is practical.Finally, the weight and health index HIF of each main project are obtained.
According to power transformer difference component, layering assessment is carried out to health status, calculation formula is as follows.
In formula, KiFor weight, HIFiFor health index, HIFmaxCorresponding health index when best for health status.
The classification of 2 health index of table
3 transformer health status evaluation factor weight of table and score value
More detailed examples of implementation:
The main transformer device of the Zhenyang 110kV station 2, specifications and models SZ10-50000/110, voltage class 220kV, capacity are
50MVA, the type of cooling be it is self cooling, Shandong Luneng MountTaielectric Equipment Co., Ltd production, put into operation in April, 2008, run 22
Year, scrap the time limit 30 years.
No. 2 main transformer devices of 220kV Bao Dou substation, specifications and models SFPSZ9-150000/220, voltage class 220kV,
Capacity is 150MVA, and Shandong Power Equipment Co., Ltd.'s production puts into operation, run 14 years, scrapped the time limit 30 years in December, 2002.
The operation of two transformers and test data are shown in Table 4.
The corresponding main transformer data of Zhenyang station 2 of serial number (1) calculate to obtain the Zhenyang 110kV station 2 using formula (1) in table 4
Number transformer HIF% is 49.182, is located at 30%~50% section, and overall operation situation is poor, is approached or only slight beyond standard
Limit value should monitor operation, arrange interruption maintenance in due course.The equipment actual state: hydrogen is exceeded serious, and accounts for hydrogen hydrocarbon total amount
90% or more, total hydrocarbon is exceeded, CH475% or more total hydrocarbon is accounted for, characteristic gas criterion is judged as shelf depreciation.Three-ratio method is encoded to
010, it is judged as shelf depreciation.High-pressure side neutral bushing dielectric loss is exceeded, and capacitance is close to warning value, and main transformer routine test is just
Often.To sum up, the equipment overall operation situation is poor, and approaches and scrap the time limit.It follows that the meter that this paper health index method obtains
Calculation value and actual state are coincide substantially.
For comprehensive verification model validation, different voltages grade, different operating conditions and the 220kV treasured with different defects are chosen
All station owner's transformers, wherein serial number (2) is its essential information and test data.Compared with example 1, though equally there is defect,
The two property is different, and test data also differs larger, and it is 78.052 that HIF, which is calculated, by model, and model result shows this
Equipment operation condition is good.Actual operating state: the transformer station high-voltage side bus 14 years, indices are normal, no bad condition, though
There is subcooler aspect major defect, has eliminated, at present normal operation.Evaluation result and actual state are coincide preferable.
4 transformer station high-voltage side bus of table and test data
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (8)
1. a kind of power transformer appraisal procedure based on health index, characterized in that the following steps are included:
Establish the Quantization Index System of power transformer；
The historical state data of acquisition power transformer and current status data；
The exception that transformer fault reason generates is retained to the processing of test data normal stateization to the data of acquisition using statistical tool
Value；
The method analyzed by common coefficient, to determine the relevance of each variable in acquisition data；
By common factor correlation analysis method, contribution of each evaluation index when evaluating transformer general health is obtained
Value；
Transformer health index evaluation model is established, it is whole to evaluate transformer according to health index for calculating transformer health index
Health status；
It is mainly as follows that transformer health index calculates step:
1) on the basis of common factor correlation analysis, contribution margin of the analysis common factor to health index；
2) weight of each health indicator is determined；
3) it is provided according to expertise and standard, formulates modifying factor；
4) weight is corrected by modifying factor；
5) it obtains health index, evaluates transformer holistic health；
According to power transformer difference component, layering assessment is carried out to health status, calculation formula is as follows:
In formula, KiFor weight, HIFiFor health index, HIFmaxCorresponding health index when best for health status.
2. a kind of power transformer appraisal procedure based on health index as described in claim 1, characterized in that the electric power
The historical state data of transformer include power transformer fortune inspection data, family's defect, equipment essential information, load data,
The current status data of power transformer includes the routine test data of power transformer.
3. a kind of power transformer appraisal procedure based on health index as described in claim 1, characterized in that by public
The method of coefficient analysis, come when determining the relevance for acquiring each variable in data, it is first determined have a fixing to test result
The higher coefficient value of correlation degree of loud non-quantization factor and common factor, common factor and each variable is bigger, common factor it
Between correlation degree be mutual.
4. a kind of power transformer appraisal procedure based on health index as described in claim 1, characterized in that common factor
Correlation analysis method is specifically common factor correlation analysis figure between multivariable to be obtained using statistical tool, according to the figure
Obtain the contribution margin of relationship and each evaluation index when evaluating transformer general health between each parameter.
5. a kind of power transformer appraisal procedure based on health index as described in claim 1, characterized in that quantizating index
Transformer health status evaluation factor in system specifically includes: the paper insulation degree of polymerization, furfural, oil dissolved gas, moisture, acid
Value, breakdown voltage, oil loss factor, infrared measurement of temperature, defective data, load histories, visual examination, equipment essential information and
Routine test, casing-appearance, casing-infrared measurement of temperature, casing-oil dissolved gas, casing-insulation resistance, cooling system-patrol
Depending in record, tap switch-tour record, tap switch-operation data, tap switch-acting characteristic, tap switch-oil points
Solve gas and non-ionizing energy loss-tour record.
6. a kind of power transformer appraisal procedure based on health index as claimed in claim 5, characterized in that defective data
Including equipment itself and family's defect two parts, defect record should include operational inspection, maintenance tour, live detection, overhaul
The defect found in journey, fault grading and defect elimination disposition.
7. a kind of power transformer appraisal procedure based on health index as claimed in claim 5, characterized in that equipment is basic
Information mainly includes transformer name plate information, voltage class, capacity, short-circuit impedance；Routine test include winding D.C. resistance, around
Group dielectric dissipation factor, capacitance, frequency response test, winding insulation resistance, absorptance or polarization index and leakage current.
8. a kind of power transformer appraisal procedure based on health index as described in claim 1, characterized in that according to health
Index carries out the classification of transformer health status:
Health index 85~100, transformer health status: situation is splendid；
Health index 70~85, transformer health status: situation is good；
Health index 50~70, transformer health status: good；
Health index 30~50, transformer health status: poor；
Health index 0~30, transformer health status: deterioration is serious.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610865178.1A CN106446426B (en) | 2016-09-29 | 2016-09-29 | A kind of power transformer appraisal procedure based on health index |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610865178.1A CN106446426B (en) | 2016-09-29 | 2016-09-29 | A kind of power transformer appraisal procedure based on health index |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106446426A CN106446426A (en) | 2017-02-22 |
| CN106446426B true CN106446426B (en) | 2019-08-06 |
Family
ID=58171149
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610865178.1A Active CN106446426B (en) | 2016-09-29 | 2016-09-29 | A kind of power transformer appraisal procedure based on health index |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106446426B (en) |
Families Citing this family (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570644B (en) * | 2016-11-04 | 2020-05-05 | 国网山东省电力公司电力科学研究院 | Statistical tool-based quantitative evaluation method for power transmission and transformation equipment |
| CN107843816B (en) * | 2017-10-20 | 2020-02-04 | 广东电网有限责任公司河源供电局 | Transformer insulation defect state evaluation method considering load rate influence |
| CN108182485A (en) * | 2017-12-05 | 2018-06-19 | 中国电力科学研究院有限公司 | A kind of power distribution network maintenance opportunity optimization method and system |
| CN109408968A (en) * | 2018-10-27 | 2019-03-01 | 国网山东省电力公司电力科学研究院 | Method for evaluating the health index of transformer real-time status |
| CN109615093A (en) * | 2018-11-26 | 2019-04-12 | 北京国网富达科技发展有限责任公司 | Repair of Transformer mode determines method and device |
| CN109683044B (en) * | 2018-12-29 | 2021-06-08 | 河南辉煌城轨科技有限公司 | Power switch equipment fault state judgment method based on multi-source information |
| CN110008649A (en) * | 2019-05-17 | 2019-07-12 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | A kind of group's transformer health Evaluation methods, devices and systems |
| CN110045093A (en) * | 2019-05-21 | 2019-07-23 | 广东电网有限责任公司 | A kind of transformer oil degradation detection and its device |
| CN110210099A (en) * | 2019-05-27 | 2019-09-06 | 国网河北省电力有限公司邢台供电分公司 | Equipment heating failure prediction method, apparatus and terminal device |
| CN110426577A (en) * | 2019-07-30 | 2019-11-08 | 西安西拓电气股份有限公司 | Transformer equipment state evaluating method, server and system |
| CN110927488B (en) * | 2019-11-27 | 2021-03-16 | 武汉理工大学 | Transformer running state monitoring method based on membership function |
| CN110850172B (en) * | 2019-11-29 | 2021-09-17 | 国网山东省电力公司青岛供电公司 | Method for evaluating qualified degree of direct-current resistance of turn-adjusting arc suppression coil |
| CN112257265A (en) * | 2020-10-22 | 2021-01-22 | 国网河北省电力有限公司石家庄供电分公司 | Power transformer service life prediction method based on health index and unequal-interval gray model |
| CN112036694B (en) * | 2020-10-27 | 2024-02-23 | 重庆首讯科技股份有限公司 | Highway electromechanical equipment life cycle prediction method and system |
| CN112731009B (en) * | 2020-12-08 | 2023-05-30 | 云南电网有限责任公司昆明供电局 | Device and method for detecting health degree of power supply equipment |
| CN112580993B (en) * | 2020-12-23 | 2022-08-26 | 云南电网有限责任公司昆明供电局 | Power grid equipment fault probability analysis method |
| CN113052340B (en) * | 2021-03-31 | 2023-04-25 | 广东电网有限责任公司 | Early warning method, system and storage medium for aggregating multi-source data |
| CN113177294A (en) * | 2021-04-06 | 2021-07-27 | 国网湖北省电力有限公司检修公司 | Data joint analysis method applied to transformer oiliness detection test |
| CN113177293B (en) * | 2021-04-06 | 2022-09-27 | 国网浙江省电力有限公司湖州供电公司 | Transformer evaluation method considering lightning stroke influence |
| CN113515842A (en) * | 2021-04-16 | 2021-10-19 | 西安热工研究院有限公司 | Large-scale generator service life assessment method and system |
| CN113267221B (en) * | 2021-06-24 | 2022-09-27 | 江苏安利达科技有限公司 | Online real-time monitoring and early warning method for operation safety of power grid system transformer |
| CN113592672B (en) * | 2021-08-02 | 2022-11-25 | 浙江日新电气有限公司 | Industrial management control method, equipment and medium based on industrial internet platform |
| CN114154591A (en) * | 2021-12-14 | 2022-03-08 | 南方电网深圳数字电网研究院有限公司 | Intelligent early warning method and device for equipment state based on multi-source information |
| CN114139408A (en) * | 2022-02-08 | 2022-03-04 | 北京智盟信通科技有限公司 | Power transformer health state assessment method |
| CN116091034B (en) * | 2022-12-08 | 2023-08-29 | 新疆升晟股份有限公司 | Intelligent operation and maintenance method, system and equipment for electric furnace transformer |
| CN117408514A (en) * | 2023-10-25 | 2024-01-16 | 国网江苏省电力有限公司宿迁供电分公司 | Intelligent operation and maintenance transformer substation monitoring and early warning system and method based on multi-parameter sensor |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245857A (en) * | 2013-04-23 | 2013-08-14 | 浙江大学 | Assessment method for loadable index of oil immersed power transformer |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7575371B1 (en) * | 2004-11-11 | 2009-08-18 | Fieldmetrics, Inc | Temperature sensor and extensometer |
-
2016
- 2016-09-29 CN CN201610865178.1A patent/CN106446426B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245857A (en) * | 2013-04-23 | 2013-08-14 | 浙江大学 | Assessment method for loadable index of oil immersed power transformer |
Non-Patent Citations (1)
| Title |
|---|
| 配网设备状态评价与风险评估模型的探索研究;于婧洋;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20160615;第C042-538/4、10-16 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106446426A (en) | 2017-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106446426B (en) | A kind of power transformer appraisal procedure based on health index | |
| CN110297167B (en) | Transformer aging state evaluation method based on multi-source information fusion | |
| Kim et al. | Fault diagnosis of a power transformer using an improved frequency-response analysis | |
| CN103605881A (en) | Fault tree and analytic hierarchy process based evaluation method of state of power transformer | |
| CN106570644A (en) | Power transmission and transformation equipment quantization evaluation method based on statistical tool | |
| CN102621421A (en) | Transformer state evaluation method based on correlation analysis and variable weight coefficients | |
| CN103576050A (en) | Operating state assessment method of capacitor voltage transformer | |
| CN104316803B (en) | A kind of Power Transformer Condition evaluation method and system based on live detection | |
| CN104764985A (en) | Method for estimating low-frequency dielectric loss of paper oil insulation system based on parameter identification | |
| CN112710930A (en) | Online evaluation method for insulation state in capacitor voltage transformer | |
| Abu-Elanien et al. | Survey on the transformer condition monitoring | |
| CN104914364A (en) | Capacitance oilpaper transformer sleeve insulation state assessment method | |
| CN110794301A (en) | Motor life value judgment method | |
| CN113704968A (en) | Method and device for evaluating insulation aging of oil-immersed distribution transformer | |
| CN113884839A (en) | Multi-parameter insulation state evaluation method and system for capacitor voltage transformer | |
| CN103761577A (en) | Capacitive type device auxiliary decision making system based on risk assessment and condition evaluation | |
| CN112595941B (en) | Method and system for monitoring interlayer insulation of converter transformer winding | |
| CN111077380A (en) | Full-automatic detection system for operation capacity of transformer | |
| CN111025093B (en) | XLPE cable insulation life estimation method based on double-end balance factor | |
| CN109615557B (en) | Substation equipment maintenance management system | |
| CN116840614A (en) | Cable line defect sensing and early warning method based on harmonic fluctuation characteristics | |
| Zhang et al. | Research on variable weight synthesizing model for transformer condition assessment | |
| Refaat et al. | Smart grid condition assessment: concepts, benefits, and developments | |
| CN111025098B (en) | Cable insulation aging degree judging method based on leakage current time domain variation factor | |
| CN112965011A (en) | Power transformer state evaluation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |