CN109270200A - A kind of evaluation method and device based on test with on-line monitoring oil colours modal data - Google Patents
A kind of evaluation method and device based on test with on-line monitoring oil colours modal data Download PDFInfo
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- CN109270200A CN109270200A CN201811286865.3A CN201811286865A CN109270200A CN 109270200 A CN109270200 A CN 109270200A CN 201811286865 A CN201811286865 A CN 201811286865A CN 109270200 A CN109270200 A CN 109270200A
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Abstract
The present invention is in order to solve transformer evaluation method problems of the prior art, innovation is by transformer test in conjunction with on-line monitoring oil colours modal data, the equipment state of overall merit transformer, transformer test data are compared with on-line monitoring oil colours modal data, on-line monitoring oil colours modal data is pre-processed, the scoring event that classification and point deduction weight further according to setting summarize, the current device state of comprehensive descision transformer, it is evaluated relative to traditional transformer oils, it is long to can make up for it the transformer power failure test period, data not in time the shortcomings that, quantizating index is more specific comprehensively, compared to on-line monitoring oil chromatography data method, not only combined with transformer experiment, keep evaluation method more acurrate reliable, and introduce water content in oil and the variation of each dissolved gas growth trend, displaying trend deduction of points situation, reflect transformer The current integrality of equipment and overall variation trend, have the advantages that high-efficient, strong operability.
Description
Technical field
The present invention relates to the evaluation methods of transformer, more particularly, to one kind based on test and on-line monitoring oil colours modal data
Evaluation method and device.
Background technique
Power transformer be for convert alternating voltage, electric current and transmit the static electrical equipment of one kind of AC energy.
The effect of transformer be it is various can not only increase voltage electric energy be sent to electricity consumption area, moreover it is possible to voltage is reduced at different levels make
It to meet the needs of electricity consumption is one of the capital equipment of power plant and substation with voltage.
Transformer is the mostly important electrical equipment of substation, so guaranteeing that the normal operation of transformer is most important.Become
In the process of running, a series of physical and variation chemically can occur under the action of high voltage for depressor, such as insulating oil
Cracking, the aging etc. of transformer insulated component.The variation of transformer itself is very small originally, is difficult to discover, and will not influence
To the normal operation of transformer, but if ignoring, for a long time, these small variations may develop the event of forming apparatus
Barrier, influences the normal operation of transformer, or even cause huge economic loss.
These small variations are although not noticeable, but we can accurately just judge these by some electrical tests
The trend of minor change is just eliminated early stage this failure is sprouted, so electrical test is to ensure that power equipment is normally transported
Capable important measures.But it on the one hand only carries out judgement to transformer state with test at present to have the disadvantage in that
1. the transformer test period is long, the general shortest test period is up to the several months, and most of test period is 3 years left sides
It is right；
2. primary test may be inaccurate, but generally requires that other data is combined to carry out comprehensive descision after the completion of testing, i.e.,
Wait the conclusion time long；
Have a power failure 3. test is generally required to equipment, equipment power failure is unfavorable in the case where no failure to improve equipment benefit
With rate.
On the other hand at present due to the development of sensor technology, occur in recent years in power domain online using sensor
The technology of monitor equipment status installs the sensor of specific function, to equipment in the case that on-line monitoring refers to that equipment does not have a power failure
Situation carries out continuous or timing and is perceived, and shows equipment state after certain processing to monitoring data.But at present
Online monitoring data be mainly it is single according to data cases to monitoring quantity carry out early warning, equipment integrality itself can not be carried out
Determine, the overall variation trend of transformer equipment can not be reacted.
Summary of the invention
The present invention in order to solve transformer evaluation method problems of the prior art, innovation by transformer test with
Line monitors oil colours modal data and combines, the equipment state of overall merit transformer, and is introduced into each dissolved gas growth trend in oil
Variation, the trend that shows are deducted points situation, the current integrality of reflection transformer equipment and overall variation trend, have it is high-efficient,
The advantages of strong operability.
One aspect of the present invention provides a kind of evaluation method based on test with on-line monitoring oil colours modal data, comprising:
Collect transformer online monitoring data and transformer power failure test data；
Transformer online monitoring data are classified with transformer power failure test data according to data category；
Transformer online monitoring data are compared with the generic data of transformer power failure test data, are tied according to comparing
Fruit pre-processes transformer online monitoring data；
Evaluation model, meter will be inputted by pretreated transformer online monitoring data and transformer power failure test data
Calculate deduction of points situation of all categories；
Summarize transformer deduction of points situation of all categories, and transformer equipment state is judged according to final score.
Further, the collection transformer online monitoring data include: breakdown voltage online monitoring data in oil, in oil
Moisture on-line monitoring data and its variation tendency, oil dissolved gas online monitoring data and its variation tendency, operation oil temperature and
Monitoring to environment temperature and humidity；The transformer power failure test data includes: breakdown voltage power failure test data, oil in oil
Middle moisture power failure test data, oil dissolved gas power failure test data.
Further, the oil dissolved gas includes: total hydrocarbon, acetylene, hydrogen.
Further, described to compare transformer online monitoring data and the generic data of transformer power failure test data
To being specifically: by transformer online monitoring data and the generic data of transformer power failure test data be based on data area whether one
Cause is compared, if range is inconsistent, by transformer online monitoring data and the generic data of transformer power failure test data
It is compared based on deviation range size.
Further, it is described according to comparison result to transformer online monitoring data carry out pretreatment specifically include:
Judge whether online monitoring data is sky, and for example empty, then the online monitoring data is given up, if being not sky, is then somebody's turn to do
Line monitoring data retain；
Judge online monitoring data whether be can be read, recognizable character, for example non-readable, unrecognizable character, then
The online monitoring data is given up, and for example can be read, recognizable character, then the online monitoring data retains；
Judge whether online monitoring data size exceeds practical conventional value range, if exceeding practical convenient value range,
Then the online monitoring data is given up, if the online monitoring data retains without departing from practical convenient value range；
Judge whether online monitoring data is all the same, if all the same, which gives up, if not
It is all the same, then online monitoring data reservation.
Further, the practical conventional value range is [A, B], and wherein transformer power failure test data test value range is
[A1, B1] sets A=A1*0.8, B=B1*1.2.
Further, the calculating deduction of points situation of all categories is specifically: transformer original state is 1 point, pretreated
Generic transformer online monitoring data or transformer power failure test data are compared with given threshold respectively, are more than setting threshold
Value is then deducted points, if pretreated generic transformer online monitoring data or transformer power failure test data are above
Given threshold then deducts double score.
Further, the variation tendency of the water content in oil online monitoring data, oil dissolved gas on-line monitoring number
According to variation tendency respectively compared with given threshold, then deduct points more than given threshold.
Further, described to summarize transformer deduction of points situation of all categories, and transformer equipment shape is judged according to final score
State is specifically: when final score is lower than maintenance score value after summarizing transformer deduction of points situation of all categories, transformer needs to carry out
Repair and maintenance.
Second aspect of the present invention provides a kind of evaluating apparatus based on test with on-line monitoring oil colours modal data, feature
It is, comprising:
Collection module collects transformer online monitoring data and transformer power failure test data；
Categorization module is divided transformer online monitoring data and transformer power failure test data according to data category
Class；
Preprocessing module compares transformer online monitoring data and the generic data of transformer power failure test data
It is right, transformer online monitoring data are pre-processed according to comparison result；
Evaluation module will be commented by pretreated transformer online monitoring data and the input of transformer power failure test data
Valence model calculates deduction of points situation of all categories；
Summarize judgment module, summarizes transformer deduction of points situation of all categories, and transformer equipment shape is judged according to final score
State.
The technical solution adopted by the present invention includes following technical effect:
The present invention in order to solve transformer evaluation method problems of the prior art, innovation by transformer test with
Line monitors oil colours modal data and combines, the equipment state of overall merit transformer, by transformer test data and on-line monitoring oil colours
Modal data is compared, and is pre-processed to on-line monitoring oil colours modal data, and the classification and point deduction weight further according to setting carry out
Evaluation, it is last according to the scoring event summarized, the current device state of comprehensive descision transformer, relative to traditional transformer oils
Evaluation, can make up for it transformer have a power failure the test period it is long, data not in time the shortcomings that, quantizating index it is more specific comprehensively, compare
It in on-line monitoring oil chromatography data method, is not only combined with transformer experiment, it is more acurrate reliable to make evaluation method, and introduce
Water content in oil and the variation of each dissolved gas growth trend show trend deduction of points situation, reflect the current monolithic of transformer equipment
State and overall variation trend, have the advantages that high-efficient, strong operability.
General description and following detailed description more than it should be understood that be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
Illustrate the embodiment of the present invention or technical solution in the prior art to become apparent from, it below will be to embodiment or existing
Attached drawing needed in technical description is briefly described, it is clear that, for those of ordinary skills,
Under the premise of not making the creative labor, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the method flow schematic diagram of embodiment of the method one in the present invention program；
Fig. 2 is the method flow schematic diagram of embodiment of the method two in the present invention program；
Fig. 3 is the evaluation model structural schematic diagram of embodiment of the method three in the present invention program；
Fig. 4 is the structural schematic diagram of Installation practice four in the present invention program.
Specific embodiment
In order to clarify the technical characteristics of the invention, below by specific embodiment, and its attached drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used to realize different knots of the invention
Structure.In order to simplify disclosure of the invention, hereinafter the component of specific examples and setting are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relationship between various embodiments and/or setting is discussed.It should be noted that illustrated component is not necessarily to scale in the accompanying drawings
It draws.Present invention omits the descriptions to known assemblies and treatment technology and process to avoid the present invention is unnecessarily limiting.
Embodiment one
As shown in Figure 1, a kind of evaluation method based on test with on-line monitoring oil colours modal data in technical solution of the present invention,
Include:
S11 collects transformer online monitoring data and transformer power failure test data；
S12 classifies transformer online monitoring data with transformer power failure test data according to data category；
Transformer online monitoring data are compared S13 with the generic data of transformer power failure test data, according to than
Result pre-processes transformer online monitoring data；
S14, will be by pretreated transformer online monitoring data and transformer power failure test data input evaluation mould
Type calculates deduction of points situation of all categories；
S15 summarizes transformer deduction of points situation of all categories, and judges transformer equipment state according to final score.
In step s 11, collecting transformer online monitoring data includes: breakdown voltage online monitoring data in oil, in oil
Moisture on-line monitoring data and its variation tendency, oil dissolved gas online monitoring data and its variation tendency, operation oil temperature and
Monitoring to environment temperature and humidity；The transformer power failure test data includes: breakdown voltage test data, W/O in oil
Separating tests data, oil dissolved gas test data.Oil dissolved gas includes: total hydrocarbon, acetylene, hydrogen.
Traditional transformer oils pilot project has
The on-line monitoring type applied on transformer equipment at present mainly have breakdown voltage in oil, water content in oil, oil in
Dissolved gas, operation oil temperature and the monitoring to environment temperature and humidity.
In step S14, transformer online monitoring data and the generic data of transformer power failure test data are compared
To being specifically: by transformer online monitoring data and the generic data of transformer power failure test data be based on data area whether one
Cause is compared, if range is inconsistent, by transformer online monitoring data and the generic data of transformer power failure test data
It is compared based on deviation range size.
Embodiment two
As shown in Fig. 2, according to comparison result to transformer online monitoring data carry out pretreatment detailed process include:
S121 carries out preprocessing process to transformer online monitoring data according to comparison result and starts.
S122 judges whether online monitoring data is empty.If it is judged that be it is yes, S123 is thened follow the steps, if sentenced
Disconnected result be it is no, then follow the steps S124.
S123, the online monitoring data are given up.
S124, the online monitoring data retain.
S125, judge online monitoring data whether be can be read, recognizable character.If it is judged that be it is yes, then execute
Step S123, if it is judged that be it is no, then follow the steps S124.
S126, judges whether online monitoring data size exceeds conventional value range.If it is judged that be it is yes, then execute step
Rapid S123, if it is judged that be it is no, then follow the steps S124.
S127 judges whether online monitoring data is all the same.If it is judged that be it is yes, then follow the steps S123, such as
Fruit judging result be it is no, then follow the steps S124.
It is carried out in preprocessing process in transformer online monitoring data, main on-line monitoring typical problem to be processed has, oil
It is 0 that chromatogram monitoring part, which monitors gas content, and continuous more days upload data are unavailable, total hydrocarbon calculated value mistake etc..Cause these
The reason of problem, mainly there is first, and faulty data acquisition equipment, data input wrong, data transmission fault, measurement unit
Chaotic, sensitivity is not enough etc.；Second, extraneous factor mutation causes the data exception of acquisition.
Practical conventional value range is [A, B], and wherein transformer power failure test data test value range is [A1, B1], wherein A
=A1*0.8, B=B1*1.2.Such as transformer power failure test data test value range is [20,30], then practical conventional value range
For [16,36].
Embodiment three
Fig. 3 is that transformer online monitoring data are weighed with transformer power failure evaluation test data model and corresponding deduction of points
Weight, as shown in figure 3, calculating deduction of points situation of all categories is specifically: transformer original state is 1 point, pretreated generic change
Depressor online monitoring data or transformer power failure test data are compared with given threshold respectively, are then carried out more than given threshold
Deduction of points, if pretreated generic transformer online monitoring data or transformer power failure test data above set threshold
Value, then deduct double score.
Variation tendency, the variation tendency of the online monitoring data of oil dissolved gas point of water content in oil online monitoring data
Not compared with given threshold, then deduct points more than given threshold.
Concrete condition is as follows: transformer original state is 1 point, the power failure test value or online monitoring data value of water content in oil
More than setting Soil Moisture Threshold, then 0.08 point is detained；The power failure test value or online monitoring data value of the total hydrocarbon dissolved in oil are more than to set
Determine total hydrocarbon threshold value, then detains 0.12 point；The power failure test value or online monitoring data value of the acetylene dissolved in oil are more than setting acetylene
Threshold value then detains 0.12 point；The power failure test value or online monitoring data value of the hydrogen dissolved in oil are more than setting hydrogen threshold value, then
0.08 point of button；The variation tendency of the online monitoring data of the total hydrocarbon dissolved in oil is more than the total hydrocarbon change threshold of setting, then detains
0.24 point；The variation tendency of the online monitoring data of the acetylene dissolved in oil is more than the acetylene change threshold of setting, then detains 0.24
Point；The variation tendency of the online monitoring data of the hydrogen dissolved in oil is more than the hydrogen change threshold of setting, then detains 0.16 point；Oil
The variation tendency of the online monitoring data of the moisture of middle dissolution is more than the moisture change threshold of setting, then detains 0.16 point；It is hit in oil
The power failure test value or online monitoring data value for wearing voltage are more than setting breakdown voltage threshold, then detain 0.08 point；Operation oil temperature exists
The difference of line monitoring data value and environment temperature online monitoring data value is more than set temperature numerical value, then detains 0.08 point.
Soil Moisture Threshold is set as 25mg/L, sets total hydrocarbon threshold values as 150ul/L, total hydrocarbon threshold value is set as 0.5ul/L, sets
Hydrogen threshold values be 150ul/L, the total hydrocarbon change threshold set, the acetylene change threshold set, the hydrogen change threshold set as
Breakdown voltage threshold is set as 40kv by 10%/moon, set temperature numerical value is 55 degrees Celsius.
Summarize transformer deduction of points situation of all categories, and judge that transformer equipment state is specifically according to final score: working as remittance
When final score is lower than maintenance score value after total transformer deduction of points situation of all categories, transformer needs to carry out repair and maintenance.Maintenance
Score value is set as 0.6 point.
For example, in the model, classify first to data by Fig. 3, such as in the oil in dissolved gas acetylene, if
Line monitoring numerical value is greater than acetylene threshold value 0.5ul/L, i.e., it is believed that the gas is exceeded, by 0.12 deduction of points, then considers to dissolve in oil
Acetylene online monitoring data variation tendency, if simultaneously variation tendency be more than setting 10%/moon of acetylene change threshold,
Think that Long-term change trend is fast, need to detain 0.24 point simultaneously, if oil dissolved gas acetylene power failure experimental data value is greater than acetylene threshold
Value 0.5ul/L that is, it is believed that the gas is exceeded, then deducts 0.12 point, and the state that transformer is not deducted points is set as 1, that is, works as state
Plant in good condition is thought when being 1, does not need to overhaul.Other deduction of points are carried out by actual conditions, are finally summarized all in the model
Deduction of points, if final score result is lower than 0.6 timesharing, transformer needs to carry out repair and maintenance.
Example IV
As shown in figure 4, providing a kind of evaluation based on test with on-line monitoring oil colours modal data in technical solution of the present invention
Device, comprising:
Collection module 101 collects transformer online monitoring data and transformer power failure test data；
Categorization module 102 carries out transformer online monitoring data with transformer power failure test data according to data category
Classification；
Preprocessing module 103 carries out transformer online monitoring data and the generic data of transformer power failure test data
It compares, transformer online monitoring data is pre-processed according to comparison result；
Evaluation module 104, will be defeated by pretreated transformer online monitoring data and transformer power failure test data
Enter evaluation model, calculates deduction of points situation of all categories；
Summarize judgment module 105, summarizes transformer deduction of points situation of all categories, and transformer equipment is judged according to final score
State.
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 (10)
1. a kind of evaluation method based on test with on-line monitoring oil colours modal data, characterized in that include:
Collect transformer online monitoring data and transformer power failure test data；
Transformer online monitoring data are classified with transformer power failure test data according to data category；
Transformer online monitoring data are compared with the generic data of transformer power failure test data, according to comparison result pair
Transformer online monitoring data are pre-processed；
Evaluation model will be inputted by pretreated transformer online monitoring data and transformer power failure test data, calculated each
Classification deduction of points situation；
Summarize transformer deduction of points situation of all categories, and transformer equipment state is judged according to final score.
2. the evaluation method according to claim 1 based on transformer test and on-line monitoring oil colours modal data, feature
It is that the collection transformer online monitoring data include: breakdown voltage online monitoring data in oil, water content in oil on-line monitoring number
According to and its variation tendency, oil dissolved gas online monitoring data and its variation tendency, operation oil temperature and to environment temperature and wet
The monitoring of degree；The transformer power failure test data includes: breakdown voltage power failure test data in oil, water content in oil power failure test
Data, oil dissolved gas power failure test data.
3. the evaluation method according to claim 2 based on transformer test and on-line monitoring oil colours modal data, feature
It is that the oil dissolved gas includes: total hydrocarbon, acetylene, hydrogen.
4. the evaluation method according to claim 1 based on transformer test and on-line monitoring oil colours modal data, feature
It is, it is described that transformer online monitoring data are compared specifically with the generic data of transformer power failure test data: will to become
Depressor online monitoring data is based on whether data area is unanimously compared with the generic data of transformer power failure test data, such as
Fruit range is inconsistent, and transformer online monitoring data are big based on deviation range with the generic data of transformer power failure test data
It is small to be compared.
5. the evaluation method according to claim 1 based on transformer test and on-line monitoring oil colours modal data, feature
Be, it is described according to comparison result to transformer online monitoring data carry out pretreatment specifically include:
Judge online monitoring data whether be it is empty, for example empty, then the online monitoring data is given up, such as not to be empty, then the online prison
Measured data retains；
Judge online monitoring data whether be can be read, recognizable character, for example non-readable, unrecognizable character then should be
Line monitoring data are given up, and for example can be read, recognizable character, then the online monitoring data retains；
Judge whether online monitoring data size exceeds practical conventional value range, it, should if exceeding practical convenient value range
Online monitoring data is given up, if the online monitoring data retains without departing from practical convenient value range；
Judge whether online monitoring data is all the same, if all the same, which gives up, if not complete
Portion is the same, then the online monitoring data retains.
6. the evaluation method according to claim 5 based on transformer test and on-line monitoring oil colours modal data, feature
It is that the practical conventional value range is [A, B], wherein transformer power failure test data test value range is [A1, B1], sets A
=A1*0.8, B=B1*1.2.
7. the evaluation method according to claim 1 based on transformer test and on-line monitoring oil colours modal data, feature
It is that the calculating deduction of points situation of all categories is specifically: transformer original state is 1 point, and pretreated generic transformer exists
Line monitoring data or transformer power failure test data are compared with given threshold respectively, are then deducted points more than given threshold,
If pretreated generic transformer online monitoring data or transformer power failure test data are above given threshold, detain
Except double score.
8. the evaluation method according to claim 2 or 7 based on transformer test and on-line monitoring oil colours modal data, special
Sign is variation tendency, the variation tendency of the online monitoring data of oil dissolved gas of the water content in oil online monitoring data
Respectively compared with given threshold, then deduct points more than given threshold.
9. the evaluation method according to claim 1 based on transformer test and on-line monitoring oil colours modal data, feature
It is, it is described to summarize transformer deduction of points situation of all categories, and judge that transformer equipment state is specifically according to final score: when summarizing
When final score is lower than maintenance score value after transformer deduction of points situation of all categories, transformer needs to carry out repair and maintenance.
10. a kind of evaluating apparatus based on test with on-line monitoring oil colours modal data, characterized in that include:
Collection module collects transformer online monitoring data and transformer power failure test data；
Categorization module classifies transformer online monitoring data with transformer power failure test data according to data category；
Preprocessing module transformer online monitoring data is compared with the generic data of transformer power failure test data, root
Transformer online monitoring data are pre-processed according to comparison result；
Evaluation module, will be by pretreated transformer online monitoring data and transformer power failure test data input evaluation mould
Type calculates deduction of points situation of all categories；
Summarize judgment module, summarizes transformer deduction of points situation of all categories, and transformer equipment state is judged according to final score.
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| CN110161382A (en) * | 2019-04-30 | 2019-08-23 | 国网江苏省电力有限公司电力科学研究院 | It is a kind of to judge whether transformer needs to have a power failure the method and apparatus of test |
| CN114238287A (en) * | 2021-11-05 | 2022-03-25 | 国网河南省电力公司电力科学研究院 | Oil chromatography monitoring data quality evaluation method based on monitoring device running state |
| CN114238287B (en) * | 2021-11-05 | 2024-07-23 | 国网河南省电力公司电力科学研究院 | Oil chromatography monitoring data quality evaluation method based on operation state of monitoring device |
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Application publication date: 20190125 |