CN109408968A - Method for evaluating the health index of transformer real-time status - Google Patents
Method for evaluating the health index of transformer real-time status Download PDFInfo
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Abstract
The invention discloses a kind of methods for evaluating the health index of transformer real-time status, the following steps are included: (one) formulates transformer health index, for characterizing the capacity levels that transformer keeps its particular characteristic, the characteristics of according to transformer, chooses the 6 nucleoids state property aroused in interest that can characterize transformer state;(2) assessment guidelines according to setting determine every nucleoid state property aroused in interest degradation and corresponding deduction of points value, and determine the weight coefficient of every nucleoid state property aroused in interest, form state evaluation system;(3) according to the deduction of points value of the core dynamic parameter in state evaluation system and calculating score is carried out, forms the health index of transformer real-time status.The present invention can carry out real-time, dosing device state evaluation to transformer, so that operation maintenance personnel is grasped the variation tendency of equipment state in real time, realize the fine of equipment state, Real-Time Evaluation and status predication, provide foundation for the active O&M and intelligent decision of equipment.
Description
Technical field
The present invention relates to a kind of methods for evaluating transformer real-time status, and in particular to one kind is real-time for evaluating transformer
The method of the health index of state.
Background technique
Currently, power transmission and transforming equipment has implemented integrally repair based on condition of component, the accurate status evaluation to equipment is repair based on condition of component
Important evidence determines content and period of equipment state overhauling etc., is directly related to safe operation and the electric power enterprise of power grid
Economic benefit.
The method for evaluating state of current device is according to relevant evaluations directive/guides such as " oil-immersed transformer state evaluation directive/guides "
It carries out, primary evaluation approach is as follows: transformer part is divided into: ontology, casing, tap switch, cooling system and non electrical quantity
Totally 5 components evaluate component for protection (including the release of light and heavy gas, pressure and oil temperature oil level etc.), the shape of each component
State amount includes operational inspection information, power failure Test Information, on-line monitoring and live detection information, is all defined to every kind of quantity of state
Degradation and corresponding deduction of points value, finally, comprehensive component evaluation result obtain overall evaluation result.The health status of transformer
It is divided into normal condition, attention state, abnormality and severe conditions.
In terms of evaluation cycle, it is divided into periodically evaluation and dynamic evaluation, wherein periodically evaluation generally annual 1 time, evaluation knot
Formulation foundation of the fruit as equipment rebuilding technological transformation plan, dynamic evaluation are 1 time a day, to set to what same day state quantity of the equipment changed
It is standby to be evaluated, Strategies of Maintenance is formulated according to evaluation result.
But above-mentioned state evaluation system can only carry out qualitative evaluation to equipment, and the quantitative assessment that can not be refined,
In addition, can not also carry out Real-Time Evaluation, with equipment on-line monitoring, live detection and a large amount of of the equipment such as monitor device are integrated
Using needing the equipment paid close attention to for some, invent a kind of quantifiable equipment state evaluation method in real time, moment concern
Equipment state variation tendency is very important.
Summary of the invention
In view of the above-mentioned problems, the invention proposes a kind of method for evaluating the health index of transformer real-time status,
Purpose is that solving the problems, such as standing state evaluation method not can be carried out real-time, dosing device state evaluation, enable operation maintenance personnel
Enough variation tendencies for grasping equipment state in real time, realize the fine of equipment state, Real-Time Evaluation and status predication, are the master of equipment
Dynamic O&M and intelligent decision provide foundation.
To achieve the goals above, the present invention adopts the following technical scheme:
A method of for evaluating the health index of transformer real-time status, comprising the following steps:
(1) transformer health index is formulated, for characterizing the capacity levels that transformer keeps its particular characteristic, according to change
The characteristics of depressor, the 6 nucleoids state property aroused in interest of transformer state can be characterized by choosing: transformer load, oil chromatography, shelf depreciation,
Infrared detection, iron core grounding electric current and transformer vibration;
(2) according to setting assessment guidelines determine every nucleoid state property aroused in interest degradation and corresponding deduction of points value, and
It determines the weight coefficient of every nucleoid state property aroused in interest, forms state evaluation system;
(3) according to the deduction of points value of the core dynamic parameter in state evaluation system and calculating score is carried out, forms transformer
The health index of real-time status.
In step (2), the power for reflecting the relative importance order of every nucleoid state property aroused in interest is calculated using mathematical method
Value, using the concept of optimum transfer matrix, advanced AHP method determines the weight coefficient of each core dynamic parameter, and specific steps are such as
Under:
1) the relative importance order of foundation core dynamic parameter, development of judgment matrix,
2) corresponding antisymmetric matrix is calculated,
3) when standard deviation is less than 1, mean matrix is calculated;When standard deviation is not less than 1, return rebuilds judgement square
Battle array,
4) according to counted mean matrix, optimum transfer matrix is solved,
5) according to the optimum transfer matrix acquired, the weight coefficient of each core dynamic parameter is obtained.
Development of judgment matrix uses scaling law first, passes through comparing between any two for ATTRIBUTE INDEX to each index of index bed,
Scale matrix is established, as follows:
Wherein Cij=1, indicate index GiThan index GjIt is important;Cij=0, indicate index GiWith index GjIt is equally important;Cij
=-1 indicates index GiThere is no index GjIt is important.Scale matrix for the rate of exchange other than the important relationship between each ATTRIBUTE INDEX,
Also weight can be acquired by mathematical conversion.Key step is as follows:
The optimum transfer matrix O of C is sought, transfer matrix is
Wherein,
Wherein, dij=exp { Oij}
Seek the characteristic vector W of D
W=[the W obtained by root method1,W2,…,Wn]T, obtained characteristic vector Wi, can be used as each transformer health
The weight of state index.
The improvement of consistency:
Introduce the induced matrix B=(b of judgment matrix Aij)n×n, wherein
Then obtaining the necessary and sufficient condition that judgment matrix A is crash consistency matrix is B=0, bij=0,By this
Theorem is it is found that if there are some element b in matrix BijIt is not 0, then illustrates that judgment matrix A does not have crash consistency, and partially
It is bigger from 0, illustrate corresponding aijIt is bigger than normal, it should suitably be reduced;Work as bijWhen < 0, then aijIt is less than normal, Ying Jiang aijIt is appropriate to increase
Greatly.Therefore, by the analysis of induced matrix B, the element for influencing judgment matrix A consistency can be suitably adjusted, is led to
The analysis to induced matrix B is crossed, and then the influence element to the consistency of matrix A is adjusted, and is increased or is reduced, final
Meet expected consistency out.
Improved method can carry out in accordance with the following steps,
1) the maximum eigenvalue λ of matrix A is found outmax, and CR value is calculated, and if A has satisfactory consistency, a last step is arrived, it is no
Then enter second step;
2) the induced matrix B of judgment matrix A is found out;
3) finding out in matrix B makesReach the i of maximum value, j is denoted as q, t.
If 4) bqt> 0, then to corresponding aqtIt is adjusted, works as aqtWhen for integer,
aqt'=aqt- 1, otherwise enable aqt(the 1/a of '=1/qt+1);
If bqt< 0, works as aqtWhen for integer,
aqt'=aqt+ 1, aqt(the 1/a of '=1/qt-1)
5) a is enabledqt'=1/aqt', aij'=aij, i, j ∈ Ω and i, j ≠ q, t;And by matrix A '=(aij′)n×n, it is denoted as A,
Go to the first step.
In step (3), the deduction of points value of foundation core dynamic parameter is simultaneously calculated, and sets modifying factor, transformer
Load, oil chromatography, shelf depreciation, infrared detection, iron core grounding electric current and the modifying factor of transformer vibration be respectively as follows: 0.1,
0.25,0.1,0.25,0.2 and 0.1, its calculation formula is:
In formula, HI is the health index of transformer to be measured, KiFor the weight of core dynamic parameter, HIFiJoin for core dynamic
The health index of amount, HIFmaxCorresponding health index when best for health status.
In step (3), the full marks of every nucleoid state property aroused in interest are set as 100 points, the health index of transformer to be measured obtains
Point=100- deduction of points value, and be shown with radar map.
In the present invention, transformer load refers to the amount of transformer overload, and transformer overload is the real-time of scheduling
Data.The evaluation result layering of infrared detection is considered, comprising: transformer body, bushing shell for transformer, tap switch, cooling system
It mainly include radiator, the connection of transformer and metal parts.Transformer vibrates primary concern oil tank wall and oil tank base support, works as vibration
When dynamic or vibration variable quantity is above standard, in conjunction with vibrational waveform and frequency spectrum and other analysis of experiments reasons, transformer equipment machine
Tool oscillating component > 100Hz, then illustrate that there are failure symptoms for equipment.Shelf depreciation includes ultrasonic wave shelf depreciation and high frequency partial
Electric discharge, real-time monitoring.Oil chromatography mainly includes the dissolved gas analysis of ontology and casing, wherein hydrogen, acetylene, total hydrocarbon
Content and growth rate are the Important Parameters of evaluation.Iron core grounding current detecting result is affected by environment and detection method
When, it can be comprehensively compared by all previous test result, be judged according to its variation tendency.Data analysis also needs to comprehensively consider
History run situation, same category of device reference frame can be aided with on-line checking dress if suspection has iron core multiple spot intermittence ground connection
Set continuous measurement.By means of different such as infrared measurement of temperature test, oil chromatography and high frequency partial discharge detections, six nucleoids state ginseng aroused in interest is obtained
Amount, further carries out layering assessment to transformer, using health index model, obtains dynamic evaluation knot to transformer health status
Fruit provides foundation to produce, overhauling, guarantees power network safety operation.Lead to when to transformer health status evaluation, to weight
Coefficient also needs further to be corrected using correction factor, makes evaluation procedure closer to production scene reality.Finally, it obtains each
The weight coefficient and health index of core dynamic parameter, so as to the health index of exact evaluation transformer real-time status.
Thus, compared with prior art, the beneficial effect that the present invention reaches is: can carry out to transformer in real time, quantitatively
Equipment state evaluation, enables operation maintenance personnel to grasp the variation tendency of equipment state in real time, realizes the fine, real-time of equipment state
Evaluation and status predication, provide foundation for the active O&M and intelligent decision of equipment.
Detailed description of the invention
Fig. 1 be calculated in the present invention the weight coefficient of core dynamic parameter flow diagram;
Fig. 2 is the block diagram that modifying factor is formed in the present invention;
Fig. 3 is the table of evaluation system in the present invention;
Fig. 4 is a kind of radar map of embodiment in the present invention.
Specific embodiment
With reference to shown in attached drawing, the invention discloses a kind of method for evaluating the health index of transformer real-time status,
It includes the following steps:
(1) transformer health index is formulated, for characterizing the capacity levels that transformer keeps its particular characteristic, according to change
The characteristics of depressor, the 6 nucleoids state property aroused in interest of transformer state can be characterized by choosing: transformer load, oil chromatography, shelf depreciation,
Infrared detection, iron core grounding electric current and transformer vibration;
(2) according to setting assessment guidelines determine every nucleoid state property aroused in interest degradation and corresponding deduction of points value, and
It determines the weight coefficient of every nucleoid state property aroused in interest, forms state evaluation system;
In this step, the power for reflecting the relative importance order of every nucleoid state property aroused in interest is calculated using mathematical method
Value, using the concept of optimum transfer matrix, advanced AHP method determines the weight coefficient of each core dynamic parameter, and specific steps are such as
Under:
1) the relative importance order of foundation core dynamic parameter, development of judgment matrix,
2) corresponding antisymmetric matrix is calculated,
3) when standard deviation is less than 1, mean matrix is calculated;When standard deviation is not less than 1, return rebuilds judgement square
Battle array,
4) according to counted mean matrix, optimum transfer matrix is solved,
5) according to the optimum transfer matrix acquired, the weight coefficient of each core dynamic parameter is obtained.
Development of judgment matrix uses scaling law first, passes through comparing between any two for ATTRIBUTE INDEX to each index of index bed,
Scale matrix is established, as follows:
Wherein Cij=1, indicate index GiThan index GjIt is important;Cij=0, indicate index GiWith index GjIt is equally important;Cij
=-1 indicates index GiThere is no index GjIt is important.Scale matrix for the rate of exchange other than the important relationship between each ATTRIBUTE INDEX,
Also weight can be acquired by mathematical conversion.Key step is as follows:
The optimum transfer matrix O of C is sought, transfer matrix is
Wherein,
Wherein, dij=exp { Oij}
Seek the characteristic vector W of D
W=[the W obtained by root method1,W2,…,Wn]T, obtained characteristic vector Wi, can be used as each transformer health
The weight of state index.
The improvement of consistency:
Introduce the induced matrix B=(b of judgment matrix Aij)n×n, wherein
Then obtaining the necessary and sufficient condition that judgment matrix A is crash consistency matrix is B=0, bij=0,By this
Theorem is it is found that if there are some element b in matrix BijIt is not 0, then illustrates that judgment matrix A does not have crash consistency, and partially
It is bigger from 0, illustrate corresponding aijIt is bigger than normal, it should suitably be reduced;Work as bijWhen < 0, then aijIt is less than normal, Ying Jiang aijIt is appropriate to increase
Greatly.Therefore, by the analysis of induced matrix B, the element for influencing judgment matrix A consistency can be suitably adjusted, is led to
The analysis to induced matrix B is crossed, and then the influence element to the consistency of matrix A is adjusted, and is increased or is reduced, final
Meet expected consistency out.
Improved method can carry out in accordance with the following steps,
1) the maximum eigenvalue λ of matrix A is found outmax, and CR value is calculated, and if A has satisfactory consistency, a last step is arrived, it is no
Then enter second step;
2) the induced matrix B of judgment matrix A is found out;
3) finding out in matrix B makesReach the i of maximum value, j is denoted as q, t.
If 4) bqt> 0, then to corresponding aqtIt is adjusted, works as aqtWhen for integer,
aqt'=aqt- 1, otherwise enable aqt(the 1/a of '=1/qt+1);
If bqt< 0, works as aqtWhen for integer,
aqt'=aqt+ 1, aqt(the 1/a of '=1/qt-1)
5) a is enabledqt'=1/aqt', aij'=aij, i, j ∈ Ω and i, j ≠ q, t;And by matrix A '=(aij′)n×n, it is denoted as A,
Go to the first step.
(3) according to the deduction of points value of the core dynamic parameter in state evaluation system and calculating score is carried out, forms transformer
The health index of real-time status.
In this step, it according to the deduction of points value of core dynamic parameter and is calculated, and according to expertise, is determined each
A core dynamic parameter sets modifying factor, transformer load, oil chromatography, shelf depreciation, infrared detection, iron core grounding electric current and
The modifying factor of transformer vibration is respectively as follows: 0.1,0.25,0.1,0.25,0.2 and 0.1, its calculation formula is:
In formula, HI is the health index of transformer to be measured, KiFor the weight of core dynamic parameter, HIFiJoin for core dynamic
The health index of amount, HIFmaxCorresponding health index when best for health status.
Referring to shown in Fig. 2, transformer is mostly Oil-Paper Insulation, therefore the service life of paper oil insulation, is largely influenced
The health status of transformer.It is for statistical analysis based on statistical tool SPSS for oil contamination of transformer test data, it obtains and comments
The weight of valence parameter.Wherein, it influences the big parameter of relationship and is divided into one group, be divided into positive association degree and negative customers degree, show that influence is
It is positively correlated or negatively correlated, the substance that C1~C5 has similar property or generates with same chemical reaction is divided into one group.
Relationship analysis between each characteristic parameter and common factor, to further determine that parameter weight and health index are established
Basis.
Also, Fig. 4 is referred to, sets the full marks of every nucleoid state property aroused in interest as 100 points, the health index of transformer to be measured
Score=100- deduction of points value, and be shown with radar map, it can the more intuitive real-time shape for expressing above-mentioned transformer to be measured
State.
As shown in figure 4, there are abnormal vibrations for certain Transformer, while chromatographic data is exceeded, bad according to quantity of state
Change degree, deduction of points are respectively 6 points and 4 points, other quantity of states are normal.The transformer health status radar map, shape can then be drawn
Health index is calculated at radar map shown in Fig. 4, while according to above-mentioned formula are as follows: 98.6 points.
Although above-mentioned be described and verify to a specific embodiment of the invention and validity in conjunction with attached drawing, not
Limiting the scope of the invention, those skilled in the art should understand that, based on the technical solutions of the present invention, this
Field technical staff does not need to make the creative labor the various modifications or changes that can be made still in protection scope of the present invention
Within.
Claims (6)
1. a kind of method for evaluating the health index of transformer real-time status, which comprises the steps of:
(1) transformer health index is formulated, for characterizing the capacity levels that transformer keeps its particular characteristic, according to transformer
The characteristics of, the 6 nucleoids state property aroused in interest of transformer state can be characterized by choosing: transformer load, oil chromatography, shelf depreciation, infrared
Detection, iron core grounding electric current and transformer vibration;
(2) according to setting assessment guidelines determine every nucleoid state property aroused in interest degradation and corresponding deduction of points value, and determine
The weight coefficient of every nucleoid state property aroused in interest forms state evaluation system;
(3) according to the deduction of points value of the core dynamic parameter in state evaluation system and calculating score is carried out, it is real-time forms transformer
The health index of state.
2. the method according to claim 1 for evaluating the health index of transformer real-time status, which is characterized in that step
Suddenly in (two), the weight for reflecting the relative importance order of every nucleoid state property aroused in interest is calculated using mathematical method, utilization is optimal
The concept of transfer matrix, advanced AHP method determine the weight coefficient of each core dynamic parameter, the specific steps are as follows:
1) the relative importance order of foundation core dynamic parameter, development of judgment matrix,
2) corresponding antisymmetric matrix is calculated,
3) when standard deviation is less than 1, mean matrix is calculated;When standard deviation is not less than 1, return rebuilds judgment matrix,
4) according to counted mean matrix, solution most has transfer matrix,
5) according to the optimum transfer matrix acquired, the weight coefficient of each core dynamic parameter is obtained.
3. the method according to claim 1 for evaluating the health index of transformer real-time status, which is characterized in that step
Suddenly in (three), the deduction of points value of foundation core dynamic parameter is simultaneously calculated, and sets modifying factor, transformer load, oil colours
Spectrum, shelf depreciation, infrared detection, iron core grounding electric current and the modifying factor of transformer vibration be respectively as follows: 0.1,0.25,0.1,
0.25,0.2 and 0.1, its calculation formula is:
In formula, HI is the health index of transformer to be measured, and Ki is the weight of core dynamic parameter, and HIFi is core dynamic parameter
Health index, HIFmax are corresponding health index when health status is best.
4. the method according to claim 1 for evaluating the health index of transformer real-time status, which is characterized in that step
Suddenly in (three), the full marks of every nucleoid state property aroused in interest are set as 100 points, score=100- of the health index of transformer to be measured is detained
Score value, and be shown with radar map.
5. the method according to claim 2 for evaluating the health index of transformer real-time status, which is characterized in that structure
Judgment matrix is built, uses scaling law first, to each index of index bed comparing between any two by ATTRIBUTE INDEX, establishes scale square
Battle array is as follows:
Wherein Cij=1, indicate index GiThan index GjIt is important;Cij=0, indicate index GiWith index GjIt is equally important;Cij=-1,
Indicate index GiThere is no index GjImportant, the scale matrix for the rate of exchange passes through number other than the important relationship between each ATTRIBUTE INDEX
It learns conversion and acquires weight, key step is as follows:
The optimum transfer matrix O of C is sought, transfer matrix is
Wherein,
Wherein, dij=exp { Oij}
Seek the characteristic vector W of D
W=[the W obtained by root method1,W2,…,Wn]T, obtained characteristic vector Wi, can be used as each transformer health status
The weight of index;
The improvement of consistency:
Introduce the induced matrix B=(b of judgment matrix Aij)n×n, wherein
Then obtaining the necessary and sufficient condition that judgment matrix A is crash consistency matrix is B=0,It can by this theorem
Know, if there are some element b in matrix BijIt is not 0, then illustrates that judgment matrix A does not have crash consistency, and deviate 0 and get over
Greatly, illustrate corresponding aijIt is bigger than normal, it should suitably be reduced;Work as bijWhen < 0, then aijIt is less than normal, Ying Jiang aijIt is appropriate to increase.Cause
This can suitably adjust the element for influencing judgment matrix A consistency by the analysis of induced matrix B, by luring
The analysis of matrix B is led, and then the influence element to the consistency of matrix A is adjusted, and is increased or is reduced, finally obtains and meet
Expected consistency.
6. the method according to claim 5 for evaluating the health index of transformer real-time status, which is characterized in that institute
The improved method for stating consistency carries out in accordance with the following steps,
1) the maximum eigenvalue λ of matrix A is found outmax, and calculate CR value, if A has satisfactory consistency, arrive a last step, otherwise into
Enter second step;
2) the induced matrix B of judgment matrix A is found out;
3) finding out in matrix B makesReach the i of maximum value, j is denoted as q, t;
If 4) bqt> 0, then to corresponding aqtIt is adjusted, works as aqtWhen for integer,
aqt'=aqt- 1, otherwise enable aqt(the 1/a of '=1/qt+1);
If bqt< 0, works as aqtWhen for integer,
aqt'=aqt+ 1, aqt(the 1/a of '=1/qt-1)
5) a is enabledqX '=1/aqt', aij'=aij, i, j ∈ Ω and i, j ≠ q, t;And by matrix A '=(aij′)n×n, it is denoted as A, is gone to
The first step.
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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 |
CN111126813A (en) * | 2019-12-16 | 2020-05-08 | 东软集团股份有限公司 | Method and device for determining equipment state, storage medium and electronic equipment |
CN112132426A (en) * | 2020-09-07 | 2020-12-25 | 国网山东省电力公司电力科学研究院 | Quality evaluation method for oil-immersed distribution transformer |
CN113077124A (en) * | 2021-03-15 | 2021-07-06 | 国家电网有限公司 | Method for evaluating remaining usable life of power grid aged equipment after technical modification |
CN114354783A (en) * | 2021-12-17 | 2022-04-15 | 国网电力科学研究院武汉南瑞有限责任公司 | Health degree evaluation method of extra-high voltage oil chromatography monitoring device based on-operation data |
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Publication number | Priority date | Publication date | Assignee | Title |
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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 |
CN111126813A (en) * | 2019-12-16 | 2020-05-08 | 东软集团股份有限公司 | Method and device for determining equipment state, storage medium and electronic equipment |
CN111126813B (en) * | 2019-12-16 | 2023-10-31 | 东软集团股份有限公司 | Method and device for determining equipment state, storage medium and electronic equipment |
CN112132426A (en) * | 2020-09-07 | 2020-12-25 | 国网山东省电力公司电力科学研究院 | Quality evaluation method for oil-immersed distribution transformer |
CN113077124A (en) * | 2021-03-15 | 2021-07-06 | 国家电网有限公司 | Method for evaluating remaining usable life of power grid aged equipment after technical modification |
CN113077124B (en) * | 2021-03-15 | 2024-05-24 | 国家电网有限公司 | Evaluation method for residual usable life after technical improvement of power grid overage equipment |
CN114354783A (en) * | 2021-12-17 | 2022-04-15 | 国网电力科学研究院武汉南瑞有限责任公司 | Health degree evaluation method of extra-high voltage oil chromatography monitoring device based on-operation data |
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