CN107153999A - A kind of determination method of distribution transformer quality - Google Patents
A kind of determination method of distribution transformer quality Download PDFInfo
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- CN107153999A CN107153999A CN201710377792.8A CN201710377792A CN107153999A CN 107153999 A CN107153999 A CN 107153999A CN 201710377792 A CN201710377792 A CN 201710377792A CN 107153999 A CN107153999 A CN 107153999A
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Abstract
The present invention is, on a kind of determination method of distribution transformer quality, to comprise the following steps：Distribution transformer is divided into five qualitative index grades according to quality；Qualitative index Grade Model is set up using trapezoidal membership function；According to the key parameter group of external characteristics parameter acquiring distribution transformer to be measured；Deviation standardization is carried out to the key parameter group, standard key parameter group is obtained；The weight of standard key parameter group is obtained using Fuzzy AHP；According to qualitative index Grade Model and the weight of standard key parameter group, the qualitative index of distribution transformer to be measured is obtained；The quality of distribution transformer to be measured is determined according to qualitative index and five qualitative index grades.The quality detection method is reliable, convenient, detection efficiency is high, and the performance neither to distribution transformer has any impact, and the accuracy requirement of testing result can be met again, suitable for popularization and application.
Description
Technical field
Field of power distribution technical field, more particularly to a kind of distribution transformer quality are supplied the present invention relates to electrical engineering
Determine method.
Background technology
Distribution transformer is to be used for voltage of transformation or electric current in distribution system and transmit a kind of static electrical equipment of electric energy, is
It is a kind of can be by the transformer of high voltage drop to electrical equipment operating voltage.China's power transformer product can divide by voltage class
For extra-high voltage (750KV and more than) transformer, super-pressure (500KV) transformer, 220-110KV transformers, 35KV and following change
Depressor.And it is that 10-35KV, capacity are 6300KVA and following that distribution transformer, which typically refers to operate in voltage class in power distribution network,
The power transformer that directly can be powered to terminal user.With the development of national economy, the conversion and conveying pair of a large amount of electric energy
The performance of distribution transformer proposes higher requirement, and the quality of distribution transformer directly affects the safe and stable operation of power network
And the quality of power supply and the reliability of power supply, therefore, it is an extremely important step to strengthen the quality testing to distribution transformer.
At present, carrying out quality testing to distribution transformer mainly includes two methods：According to power transformer product commissioning test
Code GB50150-2006 carries out quality testing and carries out strip inspection to distribution transformer.According to power transformer product commissioning test
Code GB50150-2006 carries out quality testing, the main tests below for including carrying out successively：Insulate oil test or SF6 (hexafluoros
Change sulphur) gas test, measure the D.C. resistance of winding and sleeve, check all taps voltage ratio, check transformer
Three-phase wiring group (polarity of single-phase transformer lead-out wire), measurement and each fastener (the removable person of connection sheet) of core inductance
And (have and draw ground wire outside) insulaion resistance, the experiment of non-pure porcelain casing tube, the inspection of on-load voltage regulation switching device and experiment unshakable in one's determination,
Measure the insulaion resistance and absorptance experiment, the dielectric loss angle tangent of measurement winding and sleeve of winding and sleeve, survey
Measure the DC leakage-current of winding and sleeve, deformation test of transformer winding, the ac voltage withstanding experiment of winding and sleeve, around
Group together with sleeve pipe it is long when induced voltage test with partial discharge test, rated voltage Switching impulse test and check phase
Position and measurement noise.
When carrying out strip inspection to distribution transformer, first, external electrical connecting lead wire and secondary connection are removed, distribution is treated
After transformer discharge part insulating oil, dismounting sleeve pipe, oil conservater, cooler, gas relay, oil purifier and pressure-relief vent
Deng, and these parts dismantled are verified and overhauled respectively；Secondly, whole insulating oils are discharged and are cleared up；So
Afterwards, waist flange or device body in off circuit tap changer action bars, dismounting are removed, detector body situation simultaneously carries out the tight of each part
Gu, and Insulation Test is carried out to device body；Finally, whole valves, iron core, winding and fuel tank are overhauled.
However, above in the method for distribution transformer progress quality testing, according to power transformer product commissioning test code
, it is necessary to obtain the electric parameter of distribution transformer first when carrying out quality testing, and the distribution transformer being made of copper winding
Electric parameter and the basic indifference of electric parameter for the distribution transformer being made of aluminium winding, therefore also just can not effectively examine
Go out to replace the fraud situation of copper conductor with aluminum conductor, so that quality testing can not be carried out to distribution transformer exactly.To distribution
Transformer carries out strip inspection, is scattered part due to being needed distribution transformer integral demounting when checking, then to all
Separate components are verified and overhauled respectively, and the mode of this strip inspection is to the destructive larger of distribution transformer, although inspection
Survey result precision higher, but operating wastes time and energy and in distribution transformer recuperation, due to reconstitution properties ratio
It is poor, also easily cause the Quality of Transformer after restoring and go wrong.
The content of the invention
The present invention provides a kind of determination method of distribution transformer quality, to solve existing quality determination side
In method, it is impossible to while meeting accuracy and convenience and causing the problem of detection efficiency is not high.
The present invention provides a kind of determination method of distribution transformer quality, including：
Distribution transformer is divided into five qualitative index grades according to quality；
The qualitative index Grade Model of distribution transformer is set up using trapezoidal membership function；
According to the key parameter group of the external characteristics parameter acquiring distribution transformer to be measured of distribution transformer to be measured, external characteristics ginseng
Number is the unit for electrical property parameters related to the winding material of distribution transformer to be measured；
Utilize X'ik=[Xik-Min(Xk)]/RkDeviation standardization is carried out to key parameter group, standard key ginseng is obtained
Array, wherein, XikFor the observed value of one of parameter in key parameter group, Min (Xk) be parameter minimum value, RkFor parameter
Extreme difference value, X'ikFor parameter after deviation standardization corresponding standard key parameter；
The weight of standard key parameter group is obtained using Fuzzy AHP；
According to the qualitative index Grade Model of distribution transformer and the weight of standard key parameter group, utilizeThe qualitative index of distribution transformer to be measured is obtained, wherein, Mi(H) it is the evaluation knot of distribution transformer
Really, WijFor the weight of standard key parameter group, Ui(H) it is the opinion rating of i-th of key parameter under j factor；
According to five qualitative index grades of the qualitative index of distribution transformer to be measured and distribution transformer, determine to be measured
The quality of distribution transformer.
Alternatively, the weight of standard key parameter group is obtained using Fuzzy AHP, including：
Obtain evaluation information of the S expert to the qualitative index grade of parameter；
Model is set up to evaluation information using Triangular Fuzzy Number；
According to the model of evaluation information, the fuzzy judgment matrix of parameter is set up
UtilizeFuzzy comprehensive evalution getparms, wherein, cijFor mould
Paste the vector of judgment matrix, RSiFor the Fuzzy comprehensive evalution of parameter, mijFor evaluation information, lijFor the lower bound of evaluation information,
uijFor the upper bound of evaluation information, (lij,mij,uij) be evaluation information Triangular Fuzzy Number；
According to fuzzy judgment matrix and Fuzzy comprehensive evalution RSi, utilizeWill be fuzzy
Comprehensive evaluation value is normalized, and calculates the degree composite value of parameter, wherein, SiFor the degree composite value of i-th of element；
According to the degree composite value of parameter, d (A are utilizedi)=V (Si≥S1,S2,...,Si-1,Si+1,Sn), (i=1 ...,
N) Possibility Degree Matrix of standard key parameter group is set up, wherein, V (Si≥Sj) for the possibility degree between two Triangular Fuzzy Numbers, d
(Ai) be standard key parameter group Possibility Degree Matrix；
According to the Possibility Degree Matrix of standard key parameter group, W=(d (A are utilized1),d(A2),...,d(An))TCalculate
The weight of standard key parameter group.
Alternatively, utilizeThe qualitative index of distribution transformer to be measured is obtained, including：
According to the weight of standard key parameter group, the amendment weight of standard key parameter group is obtained using similar matrix；
According to the qualitative index Grade Model of distribution transformer and the amendment weight of standard key parameter group, utilizeObtain the qualitative index of distribution transformer to be measured.
Alternatively, the amendment weight for obtaining standard key parameter group using similar matrix includes：
Any two canonical parameter in standard key parameter group is obtained, is utilized
The distance between any two canonical parameter is calculated, wherein, m1、m2For 2N × 2N matrix；
According to the weight of standard key parameter group, utilize
Calculate the similar matrix of standard key parameter group；
According to the similar matrix of standard key parameter group, utilizeCalculate bid
The amendment weight of quasi- key parameter group.
Alternatively, according to the qualitative index Grade Model of distribution transformer and the amendment weight of standard key parameter group,
UtilizeThe qualitative index of distribution transformer to be measured is obtained, including：
According to amendment weight, utilizeCalculate the amendment evidence of standard key parameter group；
According to the quantity n of the amendment evidence of standard key parameter group, n-1 is carried out to the amendment evidence of standard key parameter group
Secondary average evidence fusion, obtains the qualitative index after one group of average evidence fusion；
The maximum in the qualitative index after average evidence fusion is chosen as the qualitative index of distribution transformer.
Alternatively, five qualitative index grades are：
As Q1≤Q≤Q2, the qualitative index grade of distribution transformer is very good；
As Q2 ＜ Q≤Q3, the qualitative index grade of distribution transformer is preferably；
As Q3 ＜ Q≤Q4, the qualitative index grade of distribution transformer is general；
As Q4 ＜ Q≤Q5, the qualitative index grade of distribution transformer is poor；
As Q5 ＜ Q≤Q6, the qualitative index grade of distribution transformer is extreme difference, wherein,
Q1, Q2, Q3, Q4, Q5 and Q6 are the actual interval value of the qualitative index grade of distribution transformer, and Q refers to for quality
Number.
Alternatively, five qualitative index grades are：
As 1≤Q≤2, the qualitative index grade of distribution transformer is very good；
As 2 ＜ Q≤4, the qualitative index grade of distribution transformer is preferably；
As 4 ＜ Q≤6, the qualitative index grade of distribution transformer is general；
As 6 ＜ Q≤8, the qualitative index grade of distribution transformer is poor；
As 8 ＜ Q≤10, the qualitative index grade of distribution transformer is extreme difference, wherein,
Q is qualitative index.
Alternatively, trapezoidal membership function is：
Wherein, fijFor the observed value X of parameterik, μ1、μ2、μ3、μ4And μ5For fijIt is under the jurisdiction of " very good ", " good ", " one respectively
As ", the membership function of " poor " and " extreme difference " this five quality evaluation grades, a, b, c, d, e, f, g and h are respectively the opinion of parameter
The spacing value of five quality evaluation grades in domain.
Alternatively, key parameter group includes：The open-circuit excitation electric current percentage value I of distribution transformer to be measuredO%, load loss
PK, open circuit loss PO, short-circuit impedance ZR, high pressure phase winding resistance RRH, low pressure phase winding resistance RHL, temperature rise Δ θ unshakable in one's determinationCO, low pressure
Winding temperature rise Δ θWHL, high pressure winding temperature rise Δ θWHH, insulating oil temperature rise Δ θO, transformer gross weight GT, untanking mass GBAnd insulation
Weight of oil GO。
The technical scheme that embodiments of the invention are provided can include the following benefits：The invention belongs to multi-parameter comprehensive
The method of evaluation, obtains the key parameter group of distribution transformer and carries out deviation standardization to key parameter group and marked
Quasi- key parameter group, while the weight of standard key parameter group is obtained using Fuzzy AHP, so as to utilize assessment models
The qualitative index of distribution transformer is obtained, and then can relatively accurately determine the quality of distribution transformer to be measured.Because
The present invention it is determined that do not do any operation, so this hair in itself to distribution transformer during distribution transformer quality
Bright to produce any influence to the performance of distribution transformer, therefore, the quality detection method in the embodiment of the present invention exists
, reliable, detection efficiency more convenient than conventional method is high on the basis of ensuring detection accuracy, is adapted to popularization and application.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
Can the limitation present invention.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the present invention
Example, and for explaining principle of the invention together with specification.
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, on the premise of not paying creative work, can also obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of the determination method of distribution transformer quality provided in an embodiment of the present invention；
Fig. 2 illustrates for the flow of the determination method of second of distribution transformer quality provided in an embodiment of the present invention
Figure；
Fig. 3 illustrates for the flow of the determination method of the third distribution transformer quality provided in an embodiment of the present invention
Figure；
Fig. 4 is membership function pictorial diagram provided in an embodiment of the present invention.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the present invention.
In order to solve to carry out quality to distribution transformer at present to determine in method, it is impossible to while meeting accuracy and just
The problem of detection efficiency is not high caused by victory, the present invention provides a kind of determination method of distribution transformer quality.Should
The core of method is：Deviation standardization is carried out to key parameter group and obtains standard key parameter group, using fuzzy hierarchy point
Analysis method calculates the weight of standard key parameter group, according to standard key parameter group and the weight calculation of standard key parameter group
The qualitative index of distribution transformer is drawn, the quality of distribution transformer is obtained according to the qualitative index of distribution transformer.
In natural science or Social Science Research, there are many definition not bery strictly has ambiguity in other words
Concept.Fuzzy of the difference of so-called ambiguity, i.e. objective things in middle transition, for example：Disastrous frost weather
Influence degree to farm output is " heavier, serious, very serious "；A certain ecological condition is fitted to certain insect, certain crop
Answering property can be evaluated as " favorably, than advantageous, less favourable, unfavorable ", etc..These influence degrees or evaluation belong to mould
The concept of paste, in order to handle these fuzzy concepts and data, just generates fuzzy set theory.
According to fuzzy set theory, an object corresponds to a set, otherwise this object belongs to this set, or not
Belong to this set, either one or the other and only occupies one.That is, for an ordinary set A, either element in space
X, otherwise x ∈ A, orEither one or the other.This feature can be with a function representation：
Wherein A (x) is set A characteristic function.
Characteristic function is generalized to fuzzy set, i.e.,：Only take 0 in ordinary set, 1 liang of value, and be generalized to fuzzy be grouped as
[0,1] any one value in interval.That is, it is assumed that X is domain, if A is the function that value is [0,1] on X, then
A is called fuzzy set, and usually said fuzzy set is fuzzy subset.
Membership function is the mathematical tool for characterizing fuzzy set.If for the either element x in domain X, had
One number μA(x) it is corresponding with x, and μA(x) ∈ A, then A is called the fuzzy subset on domain X, μA(x) it is referred to as element x to fuzzy
Subset A degree of membership.When x changes in X, μA(x) it is exactly a function, referred to as fuzzy subset A membership function.Degree of membership
μA(x) closer to 1, the degree that expression x belongs to A is higher, μA(x) closer to 0 expression x belong to A degree it is lower.It is actual to answer
In, membership function is determined according to actual requirement, for more figurative expression variation relation, and membership function is generally using ladder
Shape, triangle or normality curve map are represented.
The determination method of the distribution transformer quality of the embodiment of the present invention is carried out specifically below with reference to accompanying drawing
It is bright.
Referring to Fig. 1, Fig. 1 is a kind of flow of the determination method of distribution transformer quality provided in an embodiment of the present invention
Schematic diagram.Mainly comprise the following steps：
S101：Distribution transformer is divided into five qualitative index grades according to quality.
Specifically, according to daily to distribution transformer Quality Detection situation, the quality of distribution transformer can be drawn
It is divided into：" very good ", " good ", " general ", " poor " and " extreme difference " five qualitative index grades, this five qualitative index grade energy
Enough cover all quality states of distribution transformer.The actual interval value of each qualitative index grade can be with Q1, Q2, Q3, Q4, Q5
And Q6 is threshold value, i.e.,：As Q1≤Q≤Q2, the qualitative index grade of distribution transformer is " very good "；As Q2 ＜ Q≤Q3
When, the qualitative index grade of distribution transformer is " good "；As Q3 ＜ Q≤Q4, the qualitative index grade of distribution transformer is " one
As "；As Q4 ＜ Q≤Q5, the qualitative index grade of distribution transformer is " poor ", now needs to carry out distribution transformer winding
Dissection test, judges whether the quality of the distribution transformer is qualified with reference to the result of dissection test；As Q5 ＜ Q≤Q6, distribution
The qualitative index grade of transformer be " extreme difference ", it can be determined that the distribution transformer it is off quality.
In the embodiment of the present invention, with reference to actual conditions, five qualitative index grades are：As 1≤Q≤2, distribution transformer
Qualitative index grade be " very good "；As 2 ＜ Q≤4, the qualitative index grade of distribution transformer is " good "；When 4 ＜ Q≤6
When, the qualitative index grade of distribution transformer is " general "；As 6 ＜ Q≤8, the qualitative index grade of distribution transformer for " compared with
Difference "；As 8 ＜ Q≤10, the qualitative index grade of distribution transformer is " extreme difference ".According to the qualitative index grade classification, when 6
During ＜ Q≤8, the qualitative index grade of distribution transformer is " poor ", it is necessary to carry out strip inspection to the winding of distribution transformer,
If the winding strip inspection of distribution transformer is qualified, the distribution transformer or qualified distribution transformer are judged；If
The winding strip inspection of distribution transformer is unqualified, then judges the distribution transformer as underproof distribution transformer.As 8 ＜ Q
When≤10, the qualitative index grade of distribution transformer is " extreme difference ", directly judges that the distribution transformer becomes as underproof distribution
Depressor.The actual interval value of the qualitative index grade is according to the substantial amounts of quality assay of collection, and by summarizing
The conclusion gone out.Because the spacing value from 1 to 10 points is 6 intervals, set that interval section is smaller, each interval is correspondingly arranged multiple
Different quality grades, therefore the spacing value can accurately reflect that voltage class becomes for 10-35KV distribution in power distribution network
The quality of depressor.
S102：The qualitative index Grade Model of distribution transformer is set up using trapezoidal membership function.
Because qualitative index grade is divided into five grades in the embodiment of the present invention, grade is more, and the interval between each grade
Value is more, therefore the membership function in the embodiment of the present invention uses trapezoidal membership function.
Specifically, the trapezoidal membership function in the embodiment of the present invention is：
Wherein, fijFor the observed value X of parameterik, μ1、μ2、μ3、μ4And μ5For fijIt is under the jurisdiction of " very good ", " good ", " one respectively
As ", the membership function of " poor " and " extreme difference " this five quality evaluation grades, a, b, c, d, e, f, g and h are respectively the opinion of parameter
The spacing value of five quality evaluation grades in domain.
On trapezoidal membership function referring to Fig. 4, Fig. 4 is membership function pictorial diagram provided in an embodiment of the present invention.By
Fig. 4 understands, the embodiment of the present invention includes corresponding respectively to " very good ", " good ", " general ", " poor " and " extreme difference " this five
Five trapezoidal membership functions of quality evaluation grade.
With a key parameter high pressure phase winding resistance R of distribution transformerRHExemplified by, RRH1Join for distribution transformer key
Number RRHObserved value, that is, the current high pressure phase winding resistance of distribution transformer to be measured.RRH1Be under the jurisdiction of " very good ",
" good ", " general ", the membership function of " poor " and " extreme difference " this five quality evaluation grades are respectively：μ1(RRH1)、μ2(RRH1)、
μ3(RRH1)、μ4(RRH1) and μ5(RRH1), in the conventional value domain of distribution transformer high pressure phase winding resistance, five qualities are commented
The spacing value of valency grade is respectively：A, b, c, d, e, f, g and h.As shown in Figure 4, R is worked asRH1During≤a, μ1(RRH1)=1, i.e.,：When
RRH1During≤a, the current high pressure phase winding resistance R of distribution transformer to be measuredRH1It is 1 for " very good " membership function, i.e.,
RRH1The degree for belonging to " very good " is 100%.
As a ＜ RRH1During ＜ b,AndI.e.：Distribution transformer to be measured is worked as
Preceding high pressure phase winding resistance RRH1Degree of membership for " very good " isAnd the current height of distribution transformer to be measured
Press phase winding resistance value RRH1Degree of membership for " good " isWork as RRH1Fall in distribution transformer high pressure phase winding resistance
Conventional value domain in other scopes in when, according to trapezoidal membership function carry out quality evaluation grade judgement method with
Upper method is identical, is not described in detail herein.
S103：According to the key parameter group of the external characteristics parameter acquiring distribution transformer to be measured of distribution transformer to be measured, outside
Characterisitic parameter is the unit for electrical property parameters related to the winding material of distribution transformer to be measured.
The method that the present invention uses multiple parameter overall assessment system, from the electricity related to distribution transformer winding material to be measured
The key parameter group of distribution transformer to be measured is chosen in performance parameter, because selected unit for electrical property parameters is distribution transformer
The external characteristics parameter of important component winding, and selection can reflect the one of distribution transformer performance to be measured from the external characteristics parameter
Partial parameters are key parameter group, and therefore, the key parameter group selected by the embodiment of the present invention can more accurately and comprehensively
Reflect the quality of distribution transformer to be measured.
Specifically, the key parameter group in the embodiment of the present invention includes：The open-circuit excitation electric current hundred of distribution transformer to be measured
Score value IO%, load loss PK, open circuit loss PO, short-circuit impedance ZR, high pressure phase winding resistance RRH, low pressure phase winding resistance RHL, iron
Heart temperature rise Δ θCO, low pressure winding temperature rise Δ θWHL, high pressure winding temperature rise Δ θWHH, insulating oil temperature rise Δ θO, transformer gross weight GT、
Untanking mass GBWith insulation weight of oil GO.These key parameters can comprehensively reflect the no-load characteristic of distribution transformer, loss,
The various aspects of performance such as resistance to short circuit and heat resistance, can be more accurate so as to the parameter selected by ensureing in the embodiment of the present invention
Really and comprehensively reflect the quality of distribution transformer to be measured.
S104：Utilize X'ik=[Xik-Min(Xk)]/RkDeviation standardization is carried out to key parameter group, standard is obtained
Key parameter group, wherein, XikFor the observed value of one of parameter in key parameter group, Min (Xk) be parameter minimum value, Rk
For the extreme difference value of parameter, X'ikFor parameter after deviation standardization corresponding standard key parameter.
Because the key parameter for the quality that distribution transformer is characterized in the embodiment of the present invention is more, there are 13, and
Magnitude differences very big, dimension is different between each parameter, can by carrying out deviation standardization to key parameter group
The unmatched situation of evaluation grade for avoiding different dimensions and the order of magnitude from causing, so that it is guaranteed that to distribution transformer quality
It is more accurate to assess.
For example：By 10kV of voltage, the key parameter load loss P of model S11-250/10 distribution transformerKFor
Example, the observed value X of load lossikFor 3058 watts, i.e.,：The load loss currency of distribution transformer to be measured is 3058 watts, load
Minimum M in (the X of lossk) it is 2745 watts, the maximum of load loss is 3355 watts, the extreme difference value R of load losskFor maximum
The difference of value and minimum value, i.e.,：610 watts.Utilize formula X'ik=[Xik-Min(Xk)]/RkCalculate, after deviation standardization
Load loss X'ikAbout 0.513.
S105：The weight of standard key parameter group is obtained using Fuzzy AHP.Comprise the following steps：
S1051：Obtain evaluation information of the S expert to the qualitative index grade of parameter.
Specifically, S expert is obtained to the evaluation information of the qualitative index grade of 13 parameters in key parameter group, is commented
Valency information includes 13 key parameters and " very good ", " good ", " general ", " poor " and " extreme difference " of 13 parameters
Five quality evaluation grades.
S1052：Model is set up to evaluation information using Triangular Fuzzy Number.
Specifically, the membership function of each evaluation information, i.e., the person in servitude of each evaluation information are represented using Triangular Fuzzy Number
Category degree uses Triangular Fuzzy Number (lij,mij,uij) represent.The desired value of Triangular Fuzzy Number is as shown in table 1：
| Triangular Fuzzy Number | Language is described |
| (1,1,1) | It is of equal importance |
| (2,3,4) | It is general important |
| (4,5,6) | It is quite important |
| (6,7,8) | It is extremely important |
| (9,9,9) | And its it is important |
| (1,2,3)(3,4,5)(5,6,7)(7,8,9) | Middle preference value |
The desired value of the Triangular Fuzzy Number of table 1
S1053：According to the model of evaluation information, the fuzzy judgment matrix of parameter is set up
Specifically, according to the evaluation information of Triangular Fuzzy Number form, fuzzy judgment matrix is set up, the fuzzy judgment matrix
Element interval is [0,1], and the embodiment of the present invention uses triangular fuzzy number complementary judgment matrix, to 13 key parameters
Five kinds of evaluation informations set up 13 rows 5 row fuzzy judgment matrix, can become apparent from, give expression to exactly policymaker preference letter
Breath.
S1054：UtilizeFuzzy comprehensive evalution getparms, wherein,
cijFor the vector of fuzzy judgment matrix, RSiFor the Fuzzy comprehensive evalution of parameter, mijFor evaluation information, lijFor evaluation information
Lower bound, uijFor the upper bound of evaluation information, (lij,mij,uij) be evaluation information Triangular Fuzzy Number.
S1055：According to fuzzy judgment matrix and Fuzzy comprehensive evalution RSi, utilize
Fuzzy comprehensive evalution is normalized, the degree composite value of parameter is calculated, wherein, SiFor the degree synthesis of i-th of element
Value.
Pass through Fuzzy comprehensive evalution RS getparmsiWith the degree composite value S of correspondence parameteri, distribution transformer can be made
The evaluation information of all key parameters of device is contrasted in identical with reference under the conditions of, is conducive to more accurately evaluating distribution change
The quality of depressor.
S1056：According to the degree composite value of parameter, d (A are utilizedi)=V (Si≥S1,S2,...,Si-1,Si+1,Sn), (i=
1 ..., the Possibility Degree Matrix of standard key parameter group n) is set up, wherein, V (Si≥Sj) between two Triangular Fuzzy Numbers can
Energy degree, d (Ai) be standard key parameter group Possibility Degree Matrix.
Specifically, in order to carry out the comparison between Triangular Fuzzy Number, following two definition are done：
Define 1：Assuming that M1=(l1,m1,u1) and M2=(l2,m2,u2) be two Triangular Fuzzy Numbers, then M2≥M1Possibility
Degree is defined as：
Define 2：Assuming that the collection being made up of n+1 Triangular Fuzzy Number is combined into { M, M1,M2...,Mn, then M >=M1,M2,...,Mn
Possibility degree be：
V(M≥M1,M2,...,Mn)=min { V (M >=M1),V(M≥M2),...,V(M≥Mn)}。
Utilize formula d (Ai)=V (Si≥S1,S2,...,Si-1,Si+1,Si), (i=1 ..., n) set up standard key parameter
The Possibility Degree Matrix of group, i.e.,：Understand that Possibility Degree Matrix is according to defining 2：
d(Ai)=V (Si≥S1,S2,...,Si-1,Si+1,Sn), (i=1 ..., n)=min { V (S >=S1),V(S≥
S2),...,V(S≥Sn)}.Specifically, in the embodiment of the present invention,
d(Ai)=V (Si≥S1,S2,...,Si-1,Si+1,Sn), (i=1 ..., 13)=min { V (S >=S1),V(S≥
S2),...,V(S≥S13)}
S1057：According to the Possibility Degree Matrix of standard key parameter group, formula W=(d (A are utilized1),d(A2),...,d
(An))TCalculate the weight of standard key parameter group.
Specifically, in the embodiment of the present invention, standard key parameter group has 13 parameters, so standard key parameter group
Weight be W=(d (A1),d(A2),...,d(A13))T。
From step S105, the embodiment of the present invention obtains key parameter using fuzzy set theory and Fuzzy AHP
The weight of group, can more accurately reflect the key parameter of distribution transformer and each qualitative index of each key parameter etc.
Complex relationship between level, can solve the problem that the problem of traditional classical analysis method cann't be solved.
S106：According to the qualitative index Grade Model of distribution transformer and the weight of standard key parameter group, utilizeThe qualitative index of the distribution transformer to be measured is obtained, wherein, Mi(H) commenting for distribution transformer
Valency result, WijFor the weight of standard key parameter group, Ui(H) it is the opinion rating of i-th of key parameter under j factor.
Specifically, the qualitative index of distribution transformer is qualitative index opinion rating and standard key in the embodiment of the present invention
The product of the weight of parameter group.I.e.：Utilize formulaCalculate the qualitative index Q of distribution transformer.Its
In, Ui(H) matrix arranged by 13 rows 5 is constituted, and the vector of matrix is：Five of each standard key parameter of distribution transformer
The membership function of quality evaluation grade.WijA matrix being made up of the weight of distribution transformer standard key parameter group, square
Battle array row vector be：The Possibility Degree Matrix of each standard key parameter of distribution transformer.With reference to the embodiment of the present invention, Ui(H) and
WijSpecific formula it is as follows：
Wij=W=(d (A1),d(A2),...,d(A13))T,
In summary, the qualitative index Q of distribution transformer is in the embodiment of the present invention：
S107：According to five qualitative index grades of the qualitative index of distribution transformer to be measured and distribution transformer, really
The quality of fixed distribution transformer to be measured.
For example：Utilize formulaIt is 2 to calculate Q values, then the qualitative index of distribution transformer
Grade is " very good ", and then judges that the quality of distribution transformer is qualified；If Q values are 8.1, distribution transformer is judged
Qualitative index grade be " extreme difference ", and then judge that the quality of the distribution transformer is unqualified.
Referring to Fig. 2 on the basis of the embodiment shown in above-mentioned Fig. 1, Fig. 2 matches somebody with somebody for second provided in an embodiment of the present invention
The schematic flow sheet of the determination method of piezoelectric transformer quality.As shown in Figure 2, utilized in step S106
The qualitative index for obtaining distribution transformer to be measured is comprised the following specific steps that：
S1061：According to the weight of standard key parameter group, the amendment for obtaining standard key parameter group using similar matrix is weighed
Weight.
Specifically, the step of obtaining the amendment weight of standard key parameter group using similar matrix is as follows：
S10611：Any two canonical parameter in standard key parameter group is obtained, is utilized
The distance between any two canonical parameter is calculated, wherein, m1、m2For 2N × 2N matrix.
S10612：According to the weight of standard key parameter group, utilize
Calculate the similar matrix of standard key parameter group.
S10613：According to the similar matrix of standard key parameter group, utilizeMeter
Calculate the amendment weight for drawing standard key parameter group.
S1062：According to the qualitative index Grade Model of distribution transformer and the amendment weight of standard key parameter group, profit
WithObtain the qualitative index of distribution transformer to be measured.
From above step, the amendment weight of standard key parameter group is obtained using similar matrix, it can be ensured that formula
Wij=W=(d (A1),d(A2),...,d(A13))TIn standard key parameter weight value it is more accurate, so as to improve this
The accuracy judged in invention distribution transformer quality.The part that the embodiment is not described in detail can refer to shown in Fig. 1
Embodiment, between the two can reference mutually, no longer elaborate herein.
Referring to Fig. 3 on the basis of the embodiment shown in above-mentioned Fig. 1 and Fig. 2, Fig. 3 is provided in an embodiment of the present invention the
The schematic flow sheet of the determination method of three kinds of distribution transformer qualities.From the figure 3, it may be seen that being become in step S1062 according to distribution
The qualitative index Grade Model of depressor and the amendment weight of standard key parameter group, are utilizedObtain
The qualitative index of distribution transformer to be measured, including step in detailed below：
S10621：According to amendment weight, utilizeCalculate the amendment of standard key parameter group
Evidence.
S10622：According to the quantity n of the amendment evidence of standard key parameter group, to the amendment evidence of standard key parameter group
N-1 average evidence fusion is carried out, the qualitative index after one group of average evidence fusion is obtained.
S10623：The maximum chosen in the qualitative index after average evidence fusion refers to as the quality of distribution transformer
Number.
The part that the embodiment is not described in detail can refer to the embodiment shown in Fig. 1 and Fig. 2, between the two can mutual coherent
According to no longer elaborating herein.
Those skilled in the art will readily occur to its of the present invention after the disclosure that specification and practice are invented here is considered
Its embodiment.It is contemplated that cover the present invention any modification, purposes or adaptations, these modifications, purposes or
Person's adaptations follow the general principle of the present invention and including undocumented common knowledge in the art of the invention
Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present invention is only limited by appended claim.
Claims (9)
1. a kind of determination method of distribution transformer quality, it is characterised in that methods described includes：
Distribution transformer is divided into five qualitative index grades according to quality；
The qualitative index Grade Model of the distribution transformer is set up using trapezoidal membership function；
The key parameter group of distribution transformer to be measured according to the external characteristics parameter acquiring of distribution transformer to be measured, the outer spy
Property parameter is the unit for electrical property parameters related to the winding material of the distribution transformer to be measured；
Utilize X'ik=[Xik-Min(Xk)]/RkDeviation standardization is carried out to the key parameter group, standard key ginseng is obtained
Array, wherein, XikFor the observed value of one of parameter in the key parameter group, Min (Xk) be the parameter minimum value,
RkFor the extreme difference value of the parameter, X'ikFor the parameter after the deviation standardization corresponding standard key parameter；
The weight of the standard key parameter group is obtained using Fuzzy AHP；
According to the qualitative index Grade Model of the distribution transformer and the weight of the standard key parameter group, utilizeThe qualitative index of the distribution transformer to be measured is obtained, wherein, Mi(H) it is the distribution transformer
Evaluation result, WijFor the weight of the standard key parameter group, Ui(H) it is evaluation of i-th of key parameter under j factor etc.
Level；
According to five qualitative index grades of the qualitative index of the distribution transformer to be measured and the distribution transformer, it is determined that
The quality of the distribution transformer to be measured.
2. the determination method of distribution transformer quality according to claim 1, it is characterised in that described using fuzzy
The weight that analytic hierarchy process (AHP) obtains the standard key parameter group includes：
Obtain evaluation information of the S expert to the qualitative index grade of the parameter；
Model is set up to the evaluation information using Triangular Fuzzy Number；
According to the model of the evaluation information, the fuzzy judgment matrix of the parameter is set up
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UtilizeThe Fuzzy comprehensive evalution of the parameter is obtained, wherein, cijFor institute
State the vector of fuzzy judgment matrix, RSiFor the Fuzzy comprehensive evalution of the parameter, (lij,mij,uij) it is the evaluation information
Triangular Fuzzy Number, mijFor the evaluation information, lijFor the lower bound of the evaluation information, uijFor the upper bound of the evaluation information；
According to the fuzzy judgment matrix and Fuzzy comprehensive evalution RSi, utilizeBy the mould
Comprehensive evaluation value normalization is pasted, the degree composite value of the parameter is calculated, wherein, SiFor the degree synthesis of i-th of element
Value；
According to the degree composite value of the parameter, d (A are utilizedi)=V (Si≥S1,S2,...,Si-1,Si+1,Sn), (i=1 ...,
N) Possibility Degree Matrix of the standard key parameter group is set up, wherein, V (Si≥Sj) for the possibility between two Triangular Fuzzy Numbers
Degree, d (Ai) be the standard key parameter group Possibility Degree Matrix；
According to the Possibility Degree Matrix of the standard key parameter group, W=(d (A are utilized1),d(A2),...,d(An))TCalculate
The weight of the standard key parameter group.
3. the determination method of distribution transformer quality according to claim 1, it is characterised in that the utilizationThe qualitative index of the distribution transformer to be measured is obtained, including：
According to the weight of the standard key parameter group, the amendment for obtaining the standard key parameter group using similar matrix is weighed
Weight；
According to the qualitative index Grade Model of the distribution transformer and the amendment weight of the standard key parameter group, utilizeObtain the qualitative index of the distribution transformer to be measured.
4. the determination method of distribution transformer quality according to claim 3, it is characterised in that described using similar
The amendment weight that matrix obtains standard key parameter group includes：
Any two canonical parameter in the standard key parameter group is obtained, is utilized
The distance between described any two canonical parameter is calculated, wherein, m1、m2For 2N × 2N matrix；
According to the weight of the standard key parameter group, utilizeCalculate
Draw the similar matrix of the standard key parameter group；
According to the similar matrix of the standard key parameter group, utilizeCalculate institute
State the amendment weight of standard key parameter group.
5. the determination method of distribution transformer quality according to claim 3, it is characterised in that described in the basis
The amendment weight of the qualitative index Grade Model of distribution transformer and the standard key parameter group, is utilizedThe qualitative index of the distribution transformer to be measured is obtained, including：
According to the amendment weight, utilizeCalculate the amendment evidence of standard key parameter group；
According to the quantity n of the amendment evidence of the standard key parameter group, the amendment evidence of the standard key parameter group is entered
N-1 average evidence fusion of row, obtains the qualitative index after one group of average evidence fusion；
The maximum in the qualitative index after the average evidence fusion is chosen as the qualitative index of the distribution transformer.
6. the determination method of distribution transformer quality according to claim 1, it is characterised in that five qualities
Index ranking is：
As Q1≤Q≤Q2, the qualitative index grade of the distribution transformer is " very good "；
As Q2 ＜ Q≤Q3, the qualitative index grade of the distribution transformer is " good "；
As Q3 ＜ Q≤Q4, the qualitative index grade of the distribution transformer is " general "；
As Q4 ＜ Q≤Q5, the qualitative index grade of the distribution transformer is " poor "；
As Q5 ＜ Q≤Q6, the qualitative index grade of the distribution transformer is " extreme difference ", wherein,
Q1, Q2, Q3, Q4, Q5 and Q6 are the actual interval value of the qualitative index grade of the distribution transformer, and Q is the product
Matter index.
7. the determination method of distribution transformer quality according to claim 6, it is characterised in that five qualities
Index ranking is：
As 1≤Q≤2, the qualitative index grade of the distribution transformer is " very good "；
As 2 ＜ Q≤4, the qualitative index grade of the distribution transformer is " good "；
As 4 ＜ Q≤6, the qualitative index grade of the distribution transformer is " general "；
As 6 ＜ Q≤8, the qualitative index grade of the distribution transformer is " poor "；
As 8 ＜ Q≤10, the qualitative index grade of the distribution transformer is " extreme difference ", wherein,
Q is the qualitative index.
8. the determination method of distribution transformer quality according to claim 1, it is characterised in that described trapezoidal to be subordinate to
Function is：
Wherein, fijFor the observed value X of the parameterik, μ1、μ2、μ3、μ4And μ5For fijIt is under the jurisdiction of " very good ", " good ", " one respectively
As ", the membership function of " poor " and " extreme difference " this five quality evaluation grades, a, b, c, d, e, f, g and h are respectively the parameter
Domain in five quality evaluation grades spacing value.
9. the determination method of distribution transformer quality according to claim 1, it is characterised in that the key parameter
Group includes：The open-circuit excitation electric current percentage value I of the distribution transformer to be measuredO%, load loss PK, open circuit loss PO, short circuit resistance
Anti- ZR, high pressure phase winding resistance RRH, low pressure phase winding resistance RHL, temperature rise Δ θ unshakable in one's determinationCO, low pressure winding temperature rise Δ θWHL, high voltage winding
Group temperature rise Δ θWHH, insulating oil temperature rise Δ θO, transformer gross weight GT, untanking mass GBWith insulation weight of oil GO。
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109001570A (en) * | 2018-07-17 | 2018-12-14 | 浙江华电器材检测研究所有限公司 | A kind of detection method of distribution transformer winding material and capacity |
| CN109596948A (en) * | 2018-12-10 | 2019-04-09 | 国网山东省电力公司电力科学研究院 | A kind of distribution line state of insulation evaluation method |
| CN109932197A (en) * | 2017-12-18 | 2019-06-25 | 北京服装学院 | A kind of safety detection method and system of wearable product |
| 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 |
| CN113552852A (en) * | 2021-06-16 | 2021-10-26 | 南方电网科学研究院有限责任公司 | Method and system for controlling no-load performance of transformer, computer equipment and storage medium |
| CN114580973A (en) * | 2022-04-28 | 2022-06-03 | 沈阳中变电气有限责任公司 | Quality monitoring method and system in transformer production process |
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2017
- 2017-05-25 CN CN201710377792.8A patent/CN107153999A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109932197A (en) * | 2017-12-18 | 2019-06-25 | 北京服装学院 | A kind of safety detection method and system of wearable product |
| CN109001570A (en) * | 2018-07-17 | 2018-12-14 | 浙江华电器材检测研究所有限公司 | A kind of detection method of distribution transformer winding material and capacity |
| CN109596948A (en) * | 2018-12-10 | 2019-04-09 | 国网山东省电力公司电力科学研究院 | A kind of distribution line state of insulation evaluation method |
| CN109596948B (en) * | 2018-12-10 | 2020-12-15 | 国网山东省电力公司电力科学研究院 | Distribution line insulation state evaluation method |
| 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 |
| CN113552852A (en) * | 2021-06-16 | 2021-10-26 | 南方电网科学研究院有限责任公司 | Method and system for controlling no-load performance of transformer, computer equipment and storage medium |
| CN114580973A (en) * | 2022-04-28 | 2022-06-03 | 沈阳中变电气有限责任公司 | Quality monitoring method and system in transformer production process |
| CN114580973B (en) * | 2022-04-28 | 2022-07-08 | 沈阳中变电气有限责任公司 | Quality monitoring method and system in transformer production process |
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Effective date of registration: 20191203 Address after: Yunda economic and Technological Development Zone in Yunnan province Kunming city 650217 West Road No. 105 Applicant after: Electric Power Research Institute of Yunnan Power System Ltd Address before: Yunda economic and Technological Development Zone in Yunnan province Kunming city 650217 West Road No. 105 Applicant before: Electric Power Research Institute of Yunnan Power System Ltd Applicant before: Xi'an Jiaotong University |
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