CN106251042A - A kind of method that distribution transformer is carried out health state evaluation - Google Patents

Abstract

The invention discloses a kind of method that distribution transformer is carried out health state evaluation, relate to technical field of electric power, it is capable of the operation health status of distribution transformer is assessed accurately, it is simple to it is carried out the operation such as reasonable employment and maintenance, failure predication and distribution management.This method that distribution transformer is carried out health state evaluation includes: obtain quantity of state index and the weight of each quantity of state index of the running status reflecting described distribution transformer；Obtain the scoring of each quantity of state index；Obtain and be applicable to the fuzzy evaluation collection of described distribution transformer and the clear evaluation criterion corresponding with described fuzzy evaluation collection；In conjunction with scoring and the weight of each quantity of state index, fuzzy evaluation collection based on described distribution transformer, it is thus achieved that the fuzzy evaluation conclusion of the health status of described distribution transformer；Utilize grey correlation theory, based on clear evaluation criterion, process described fuzzy evaluation conclusion, obtain the clear evaluation conclusion of the health status of described distribution transformer.

Description

A kind of method that distribution transformer is carried out health state evaluation

Technical field

The present invention relates to technical field of electric power, particularly relate to a kind of side that distribution transformer is carried out health state evaluation Method.

Background technology

Along with economic fast development, the supply of electric power situation growing tension of China, the most only because of network system The economic loss that fault causes upper trillion, the main cause analyzing it is that the fault to network system can not be located in time Reason.

It is known that developing rapidly of State Grid's industry illustrates that the whole nation is sent out, capacity defeated, distribution is being continuously increased, electricity Force system is at expanding day.Certainly the power equipment needed also gets more and more, and electrical equipment fault always jeopardizes power system The principal element of safety, it is ensured that Operation of Electric Systems reliability, is even more important to developing national economy.For that purpose it is necessary to supervise in real time Surveying the running status of power equipment, check the initial failure of inside in time, Accident prevention is in possible trouble.

In various power equipments, distribution transformer is one of most important electrical equipment in network system.Due to distribution Transformator runs for a long time continuously in electrical network, and various fault inevitably occurs.Make great efforts to prevent and reduce distribution transformer Fault and the generation of accident, it is ensured that distribution transformer properly functioning, is power system problem in the urgent need to address.

Summary of the invention

The technical problem to be solved is to provide a kind of side that distribution transformer carries out health state evaluation Method, it is possible to realize the operation health status of distribution transformer is assessed accurately, it is simple to it is carried out reasonable employment and dimension Repair, the operation such as failure predication and distribution management.

For solving above-mentioned technical problem, the present invention adopts the following technical scheme that

Embodiments providing a kind of method that distribution transformer is carried out health state evaluation, the method includes:

Obtain quantity of state index and the weight of each quantity of state index of the running status reflecting described distribution transformer；

Obtain the scoring of each quantity of state index；

Obtain and be applicable to the fuzzy evaluation collection of described distribution transformer and the clear evaluation criterion corresponding with fuzzy evaluation collection；

In conjunction with scoring and the weight of each quantity of state index, fuzzy evaluation collection based on described distribution transformer, it is thus achieved that described The fuzzy evaluation conclusion of the health status of distribution transformer；

Utilize grey correlation theory, based on clear evaluation criterion, process described fuzzy evaluation conclusion, obtain described distribution and become The clear evaluation conclusion of the health status of depressor.

Preferably, described quantity of state index include belonging to the load of distribution transformer body, operational sound, oil level, temperature, Fire protection flame retarding, belongs to the filth of insulated sleeve, fire protection flame retarding, breakage and temperature, belong to the fire protection flame retarding of joint, breakage, temperature, Running environment, belongs to the down conductor of earthed system, earth resistance, belongs to the filth, firmly of distribution transformer housing, belongs to Auxiliary equipment firm, identify complete, corrosion degree.

Preferably, described fuzzy evaluation collection includes: good, normal, suspicious, exception, danger, wherein, dangerous: 0～60；Different Normal: 60～70；Suspicious: 70～80；Normal: 80～90；Good: 90～100.

Preferably, after obtaining the fuzzy evaluation collection being applicable to described distribution transformer, also include:

Obtain the membership function of described distribution transformer.

Preferably, described membership function is triangle and trapezoidal combination distribution membership function.

Preferably, described membership function includes:

Membership function under kilter:

${\mathrm{\μ}}_1\left(x\right)=\{\begin{array}{cc}1& x\≥95\\ 0.1x-8.5& 85\≤x\≤95\\ 0& x\≤85\end{array};$

Membership function under normal condition:

Membership function under suspicious state:

Membership function under abnormality:

Membership function under precarious position:

Preferably, described fuzzy evaluation conclusion is characterized as { X_i}={ X_i(1),X_i(2),…X_i(5) }, wherein, X_i(1),X_i (2),…X_i(5) it is arbitrarily to be more than or equal to 0 real number less than or equal to 1, X_i(1) characterize described distribution transformer and belong to kilter Degree, X_i(2) characterize described distribution transformer and belong to the degree of normal condition, X_i(3) characterizing that described distribution transformer belongs to can The degree of the state of doubting, X_i(4) characterize described distribution transformer and belong to the degree of abnormality, X_i(5) described distribution transformer is characterized Belong to the degree of precarious position.

Preferably, described clear evaluation criterion includes: kilter is [1,0,0,0,0], normal condition be [0,1,0,0, 0], suspicious state is [0,0,1,0,0], and abnormality is [0,0,0,1,0], and precarious position is [0,0,0,0,1].

Preferably, utilize grey correlation theory, based on clear evaluation criterion, process described fuzzy evaluation conclusion, obtain institute The clear evaluation conclusion of the health status stating distribution transformer includes:

Pass throughCalculate described fuzzy evaluation conclusion and associating that each clear evaluation marks Coefficient, wherein, Δ_i(k)=| X₀(k)-X_i(k) |, X₀K () is the element in described clear evaluation criterion, X_iK () is described fuzzy Element in evaluation conclusion, k is the integer more than or equal to 1, less than or equal to 5, M_minFor two-stage lowest difference, M_maxMaximum for two-stage Difference；

Pass throughCalculate the degree of association, obtain clear evaluation conclusion.

Embodiments providing a kind of method that distribution transformer is carried out health state evaluation, the method is based on respectively The scoring of quantity of state index, by the weight of each quantity of state index, first carries out fuzzy evaluation to distribution transformer, afterwards based on Fuzzy evaluation conclusion, obtains the clear evaluation conclusion of the health status of distribution transformer, makes distribution transformer health status In time, assess accurately, it is possible to make staff understand the health status of corresponding distribution transformer in time, consequently facilitating right It carries out the operation such as reasonable employment and maintenance, failure predication and distribution management.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, embodiment will be described below The accompanying drawing used required in is briefly described, it should be apparent that, the accompanying drawing in describing below is only some of the present invention Embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to attached according to these Figure obtains other accompanying drawing.

The flow process signal of the method that distribution transformer is carried out health state evaluation that Fig. 1 provides for the embodiment of the present invention Figure；

The quantity of state index schematic diagram of the distribution transformer that Fig. 2 provides for the embodiment of the present invention；

The schematic diagram of the membership function that Fig. 3 provides for the embodiment of the present invention.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Describe, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments wholely.Based on this Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise Example, broadly falls into the scope of protection of the invention.

Embodiments provide a kind of method that distribution transformer is carried out health state evaluation, as it is shown in figure 1, should Method includes:

Step S1, the quantity of state index obtaining the running status of reflection distribution transformer and the weight of each quantity of state index.

For distribution transformer, the factor affecting its running status substantially can include distribution transformer body, insulation Sleeve pipe, joint, earthed system, distribution transformer housing and auxiliary equipment etc. six, each of which Xiang Douke is sub-divided into multinomial Quantity of state index.Such as, for distribution transformer body, it can be subdivided into load, operational sound, oil level, temperature, fire prevention Fire-retardant grade totally five；For insulated sleeve, it can be subdivided into filth, fire protection flame retarding, breakage and temperature etc. totally four；For For joint, it can be subdivided into fire protection flame retarding, breakage, temperature, running environment etc. totally four；For earthed system, it can It is subdivided into down conductor, earth resistance etc. totally two；For distribution transformer housing, it can be subdivided into filth, firmly Degree etc. totally two；For auxiliary equipment, it can be subdivided into firmness, identify complete, corrosion degree etc. totally three.

Based on the quantity of state index found, the weight in the embodiment of the present invention is obtained by analytic hierarchy process (AHP).

Analytic hierarchy process (AHP) (The Analytic Hierarchy Process, be called for short AHP) rationale here is that decision-making Every complicated factor of object to be evaluated, according to set standard and principle, is simplified by person, and stepwise level knot is passed in foundation Structure.Pass stepwise hierarchical structure complicated problem can be become simplified as, methodization, stratification.Pass stepwise hierarchical structure general Including destination layer, rule layer and indicator layer three layers, destination layer refers generally to for the predetermined target that studies a question, and rule layer represents Realize intermediate link needed for this predeterminated target；Indicator layer is to realize index, scheme that predeterminated target used etc..

In embodiments of the present invention, same layer is judged according to judgment matrix 1～9 grades of scale principles (as shown in table 1 below) Important relationship between secondary upper two elements, obtains judgment matrix.Wherein matrix element represents each first class index element X_iRelative to X_j The quantized value of importance, wherein, i and j is integer.

Table 1 judgment matrix 1～9 grades of scale principles

For distribution transformer as shown in Figure 2, following first class index judgment matrix A can be drawn, need explanation , V1, V2, V3, V4, V5, V6 in table 2 represent distribution transformer body, insulated sleeve, joint, earthed system respectively, join Piezoelectric transformer housing and auxiliary equipment:

Table 2 distribution transformer first class index judgment matrix

AHP method is to be several compositing factors complicated PROBLEM DECOMPOSITION, these factors by interrelated degree and is subordinate to Relation packet is formed with the flight aggregated(particle) structure of sequence, forms a multi-level assay model, by the side compared two-by-two Formula determines the relative importance of each factor in level, then according to practical situation, to determine the weight coefficient of each factor.The method Based on expert's Subjective degree to indices importance, there is certain persuasion dynamics.Analytic hierarchy process (AHP) asks for weight Method have geometric method, arithmetical method, feature vector method, method of least square 4 kinds.

Based on judgment matrix, the weight of each quantity of state index can be readily available.But, the calculated power of AHP method The most only pass through consistency check just can be used.

Concrete, first calculating coincident indicator CI (Consistency Index), CI can be calculated by following formula:

$CI=\frac{{\mathrm{\λ}}_{\max }-n}{n-1}$

Wherein λ_maxRepresenting the eigenvalue of maximum of judgment matrix, n represents the dimension of judgment matrix.

Secondly, consistency ration is calculated:

$CR=\frac{CI}{RI}$

Wherein, RI is Aver-age Random Consistency Index, and its value can be by 3 acquisitions of tabling look-up.As CR ＜ 0.1, it is judged that matrix Reliably；When CR >=0.1, matrix is unreliable, needs to re-establish matrix.

Table 3 Aver-age Random Consistency Index

Through calculating, the CR=0.0047 < 0.1 of the judgment matrix in table 2, therefore this judgment matrix is examined by concordance Test.

The calculated weight of AHP method has only been passed through consistency check and just can have been used, and this has just ensured weight Science and reasonability；Second, general objective is turned to orderly some levels and some elements, this is particularly well-suited to the body that has levels The multiple index evaluation object of system；3rd, the operand involved by analytic hierarchy process (AHP) is little, and model is easily operated, it is simple to simplicity Operation solve challenge；4th, total evaluation index can be quantified by analytic hierarchy process (AHP), each lower floor of quantitative study The quantity of state index problem to the influence degree of the running status of distribution transformer.

It is similar to, in like manner, according to expert analysis mode, sets up the two-level index judgment matrix of each first class index, use maximum special Value indicative method can obtain the weight of the corresponding quantity of state of all parts, as shown in table 4 below:

Table 4 two-level index (quantity of state) weight

Step S2, obtain the scoring of each quantity of state index.

Degradation according to quantity of state index in the embodiment of the present invention, carries out nondimensionalization by score to quantity of state index Processing, use hundred-mark system, score value is assigned to 100 points from 0, is divided into as danger threshold using 60, and 100 are divided into full marks to distribution transformer All parts state is marked.Each quantity of state index score is the highest, shows that the running status of this quantity of state index is the best.

It should be noted that step S1 and step S2 in the embodiment of the present invention can exchange order, do not affect the method Enforcement.

Step S3, obtain and be applicable to the fuzzy evaluation collection of distribution transformer and corresponding with fuzzy evaluation collection clearly evaluate mark Accurate.

For distribution transformer, the embodiment of the present invention by the state demarcation of distribution transformer be " well ", " normally ", " suspicious ", "abnormal", " dangerous " five kinds of states, i.e. determine that fuzzy evaluation collection V={ is good, normal, suspicious, exception, danger, its In, dangerous: 0～60；Abnormal: 60～70；Suspicious: 70～80；Normal: 80～90；Good: 90～100.Kilter refers to set Received shipment line stabilization, all quantity of state conformance with standard or away from exceptional value.Now, the probability of device fails is extremely low, Ke Yichang Phase is run.Normal condition refers to that equipment state amount normally or wherein individual parameters shows that reliability is slightly decreased, but reaches far away Exceptional value.Now, should overhaul according to equipment original repair schedule arrangement；Several quantity of states of suspicious state representation equipment do not meet Standard, but the equipment that do not affects runs；Abnormality refers to that equipment state amount is close to or up the exceptional value in code, display device Will or break down, but situation about will not have an accident in a short time.Now, the week of overhaul of the equipments should be reduced Phase；Precarious position represent equipment state amount danger beyond exceptional value or jeopardy exception, equipment is in operation at any time it may happen that thing Therefore.Now, equipment should have a power failure immediately and overhauls.

In order to obtain clear evaluation conclusion, the clear evaluation criterion in the embodiment of the present invention include kilter be [1,0, 0,0,0], normal condition is [0,1,0,0,0], and suspicious state is [0,0,1,0,0], and abnormality is [0,0,0,1,0], dangerous State is [0,0,0,0,1].Obviously, clear evaluation criterion is one to one with the element of fuzzy evaluation collection.

Step S4, the scoring combining each quantity of state index and weight, fuzzy evaluation collection based on distribution transformer, it is thus achieved that join The fuzzy evaluation conclusion of the health status of piezoelectric transformer.

Membership function in the present embodiment triangle the most as shown in Figure 3 and trapezoidal combination distribution membership function, this person in servitude Membership fuction calculates relatively simple, and accuracy gap compared with complicated membership function is not the biggest.

In fuzzy set, the span of membership function codomain is [0,1], and membership function is as follows:

Membership function under kilter:

${\mathrm{\&mu;}}_1\left(x\right)=\left\{\begin{array}{cc}1& x\&GreaterEqual;95\\ 0.1x-8.5& 85\&le;x\&le;95\\ 0& x\&le;85\end{array}\right.$

Membership function under normal condition:

Membership function under suspicious state:

Membership function under abnormality:

Membership function under precarious position:

Utilize the weight of above-mentioned membership function bonding state figureofmerit, the obtained health status for distribution transformer Fuzzy evaluation conclusion be and be subordinate to ordered series of numbers, may be characterized as following form: { X_i}={ X_i(1),X_i(2),…X_i(5)}.Wherein, X_i (1),X_i(2),…X_i(5) it is arbitrarily to be more than or equal to 0 real number less than or equal to 1, X_i(1) characterize distribution transformer and belong to good shape The degree of state, X_i(2) characterize distribution transformer and belong to the degree of normal condition, X_i(3) characterize distribution transformer and belong to suspicious state Degree, X_i(4) characterize distribution transformer and belong to the degree of abnormality, X_i(5) characterize distribution transformer and belong to precarious position Degree.

Step S5, utilize grey correlation theory, based on clear evaluation criterion, process fuzzy evaluation conclusion, obtain distribution and become The clear evaluation conclusion of the health status of depressor.

Grey correlation theory is one of important component part of gray system theory, and be Grey System Analysis, modeling, Prediction, the foundation stone of decision-making.Grey correlation analysis is unclear to operating mechanism and physical prototype or lacks physical prototype at all Gray relation serializing, medelling, and then set up Grey Relation Analysis Model, make gray relation quantization, sequence, clear, energy For the technical Analysis means that the modeling offer of complication system is important.Grey correlation theory is incorporated in fuzzy evaluation, utilizes mould The fuzzy overall evaluation of the paste object degree of association to clear overall merit, determines the state grade of distribution transformer, overcomes The error that degree of membership principle causes.

The coefficient of association of fuzzy evaluation conclusion and each clear evaluation criterion can be calculated, i.e. pass through Calculate the coefficient of association of fuzzy evaluation conclusion and each clear evaluation criterion, wherein, Δ_i(k)=| X₀(k)-X_i(k) |, X₀(k) For the element in clear evaluation criterion, k is the integer more than or equal to 1, less than or equal to 5, M_minFor two-stage lowest difference, M_maxFor two-stage Maximum poor.

Then, can pass through based on calculated whole coefficient of associationCalculate the degree of association, this association Spend the health state evaluation result accurately obtained required for being.

In a concrete application scenarios of the embodiment of the present invention, pacify bright II924 with west of a city branch office of Nanning power supply administration The test of medium-voltage distribution transformer and to patrol and examine data be example, calculates its final corresponding degree of membership of various states.This distribution becomes Depressor load is the 70% of rated load；Operational sound is normal；Oil level is lower slightly；Temperature all meets design requirement with fire protection flame retarding； There is filth on insulated sleeve surface, and slightly damaged, alternate temperature difference is 7K, and bushing temperature is 50 DEG C, and fire protection flame retarding measure is perfect；Connect Heating without exception, running environment is excellent, and without the most damaged, fire protection flame retarding meets requirement；Down conductor outward appearance is good, ground connection Resistance meets the requirements；Distribution transformer housing is without filth and firmly installs；Auxiliary equipment firmly installs, but has moderate corrosion, mark Know setting height(from bottom) and be not up to requirement.

Actual health status according to this distribution transformer obtains each unit status and measures point as follows:

The each unit status of table 5 measures point

Final Comprehensive Evaluation result is: [0.9669,0.0369,0,0,0].Clearly pass judgment in conjunction with five kinds of states, with good The degree of association of good state is 0.9669；It is 0.0369 with the degree of association of normal condition；It is 0 with the degree of association of suspicious state；With different Often the degree of association of state is 0；It is 0 with the degree of association of precarious position.Therefore, this distribution transformer provable operates in normal shape State.

To sum up, a kind of method that distribution transformer is carried out health state evaluation, the method are embodiments provided Scoring based on each quantity of state index, by the weight of each quantity of state index, first carries out fuzzy evaluation to distribution transformer, it After based on fuzzy evaluation conclusion, obtain the clear evaluation conclusion of the health status of distribution transformer, to distribution transformer health shape State is made in time, is assessed accurately, it is possible to make staff understand the health status of corresponding distribution transformer in time, thus It is easy to it is carried out the operation such as reasonable employment and maintenance, failure predication and distribution management.

Through the above description of the embodiments, those skilled in the art is it can be understood that can borrow to the present invention The mode helping software to add required common hardware realizes, naturally it is also possible to by hardware, but a lot of in the case of the former is more preferably Embodiment.Based on such understanding, the portion that prior art is contributed by technical scheme the most in other words Dividing and can embody with the form of software product, this computer software product is stored in the storage medium that can read, such as meter The floppy disk of calculation machine, hard disk or CD etc., including some instructions with so that computer equipment (can be personal computer, Server, or the network equipment etc.) perform the method described in each embodiment of the present invention.

The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with described scope of the claims.

Claims (9)

1. the method that distribution transformer is carried out health state evaluation, it is characterised in that including:

Obtain quantity of state index and the weight of each quantity of state index of the running status reflecting described distribution transformer；

Obtain the scoring of each quantity of state index；

Obtain the fuzzy evaluation collection being applicable to described distribution transformer；

In conjunction with scoring and the weight of each quantity of state index, fuzzy evaluation collection based on described distribution transformer, it is thus achieved that described distribution The fuzzy evaluation conclusion of the health status of transformator；

Utilize grey correlation theory, based on clear evaluation criterion, process described fuzzy evaluation conclusion, obtain described distribution transformer The clear evaluation conclusion of health status.

Method the most according to claim 1, it is characterised in that described quantity of state index includes belonging to distribution transformer body Load, operational sound, oil level, temperature, fire protection flame retarding, belong to the filth of insulated sleeve, fire protection flame retarding, breakage and temperature, belong to In the fire protection flame retarding of joint, breakage, temperature, running environment, belong to the down conductor of earthed system, earth resistance, belong to and join The filth of piezoelectric transformer housing, firmly, belong to auxiliary equipment firm, identify complete, corrosion degree.

Method the most according to claim 2, it is characterised in that described fuzzy evaluation collection includes: good, normal, suspicious, different Often, dangerous, wherein, dangerous: 0～60；Abnormal: 60～70；Suspicious: 70～80；Normal: 80～90；Good: 90～100.

Method the most according to claim 3, it is characterised in that obtain the fuzzy evaluation collection being applicable to described distribution transformer Afterwards, also include:

Obtain the membership function of described distribution transformer.

Method the most according to claim 4, it is characterised in that described membership function is that triangle is subordinate to trapezoidal combination distribution Membership fuction.

Method the most according to claim 5, it is characterised in that described membership function includes:

Membership function under kilter:

${\mathrm{\&mu;}}_1\left(x\right)=\left\{\begin{array}{cc}1& x\&GreaterEqual;95\\ 0.1x-8.5& 85\&le;x\&le;95\\ 0& x\&le;85\end{array}\right.;$

Membership function under normal condition:

Membership function under suspicious state:

Membership function under abnormality:

Membership function under precarious position:

Method the most according to claim 6, it is characterised in that described fuzzy evaluation conclusion is characterized as { X_i}={ X_i(1),X_i (2),…X_i(5) }, wherein, X_i(1),X_i(2),…X_i(5) it is arbitrarily to be more than or equal to 0 real number less than or equal to 1, X_i(1) institute is characterized State distribution transformer and belong to the degree of kilter, X_i(2) characterize described distribution transformer and belong to the degree of normal condition, X_i(3) Characterize described distribution transformer and belong to the degree of suspicious state, X_i(4) characterize described distribution transformer and belong to the journey of abnormality Degree, X_i(5) characterize described distribution transformer and belong to the degree of precarious position.

Method the most according to claim 7, it is characterised in that described clear evaluation criterion includes: kilter for [1,0, 0,0,0], normal condition is [0,1,0,0,0], and suspicious state is [0,0,1,0,0], and abnormality is [0,0,0,1,0], dangerous State is [0,0,0,0,1].

Method the most according to claim 8, it is characterised in that utilize grey correlation theory, based on clear evaluation criterion, place Managing described fuzzy evaluation conclusion, the clear evaluation conclusion of the health status obtaining described distribution transformer includes:

Pass throughCalculate described fuzzy evaluation conclusion and each clear coefficient of association evaluating mark, Wherein, Δ_i(k)=| X₀(k)-X_i(k) |, X₀K () is the element in described clear evaluation criterion, X_iK () is described fuzzy evaluation Element in conclusion, k is the integer more than or equal to 1, less than or equal to 5, M_minFor two-stage lowest difference, M_maxFor two-stage maximum difference；

Pass throughCalculate the degree of association, obtain clear evaluation conclusion.