CN106126901B - A kind of transformer available mode online evaluation method of multi-dimension information fusion - Google Patents
A kind of transformer available mode online evaluation method of multi-dimension information fusion Download PDFInfo
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Abstract
The present invention provides a kind of transformer available mode online evaluation method of multi-dimension information fusion, the technology specifically comprises the steps of: firstly, obtaining the assessment of transformer individual event item state by multiple monitoring quantities；Secondly, determining the index weights of each individual event assessment of transformer, the assessment of transformer synthesis available mode is obtained after information fusion；A set of safety margin curve amendment model is finally established, safety margin curve is modified according to the operation and maintenance state of transformer.The present invention will more accurately hold the operating status of transformer, to also overcome simultaneously previous equipment periodic overhaul brought by equipment component it is in bad repair or cross the defect repaired, can largely alleviate transformer equipment increasingly increase with overhaul, the contradiction of maintenance personal's relative deficiency.
Description
Technical field
The present invention is to be related to transformer monitoring technical field, and in particular to the transformer available mode of multi-dimension information fusion
Online evaluation method.
Background technique
Sufficient power supply is the basis of modernization of the country construction and socio-economic development.With industry, agricultural and army
The demand of the continuous improvement of thing field automation application degree, demand and high efficiency transmission of electricity of the people to electric power is also risen sharply,
Power technology has also welcome one and another swift and violent development therewith.Power transformer is adjusted as voltage class, energy conveys
It is a member irreplaceable in electrical energy transportation with the core equipment of power flowcontrol.Therefore, the stabilization of power transformer, efficient, peace
Complete and permanent operation necessarily factor very important during safe operation of power system.
As one of most important power equipment, it is responsible for this unique function of transformation.Transformer not only manufactures
Technology is related to machinery, electromagnetism, electrochemistry and calorifics, and cost is very expensive, and economic loss brought by failure very may be used
It can be considerably beyond the price of equipment itself.I.e. network system bring impact caused by supplementary loss, plant produced it is unexpected
Interruption, traffic or the power-off of medical facilities, and these additional losses make often well beyond the value of power equipment itself
Consequence more seriousization and extension that failure is caused.Under more serious situation, it is likely to result in the injures and deaths of personnel, or even meeting
Cause the insufficient enterprise's plant produced collapse of certain power reserves.It thus is seen that guarantee transformer based on power equipment safety,
Stablize, efficient operation, to raising socio-economic development, guarantees enterprises and institutions' smooth operation and ensure that people's normal life all has
Highly important meaning and important function.
Continuous improvement with people to electricity needs, south electric network propose construction smart grid, green network it is general
It reads, it is desired to which intelligence is done step-by-step in operation, maintenance, development and the expansion of electric system.Transformer is as most heavy in electric system
One of primary equipment wanted, monitoring and maintaining method largely affect Power System Intelligent process.Traditional
Transformer detection mode is to carry out shutdown formula to transformer parameters, performance and operating status in regular hour periodic point
Data acquire, then artificial treatment, and are known as on this basis to transformer progress state judgement and control, this detection method
Periodic inspection.
Periodic inspection needs to occupy a large amount of manpower and material resources, while the electric power that operation suspension is overhauled whithin a period of time is set
It is standby.This method can not accomplish real-time and accurately to obtain transformer station high-voltage side bus information, and most of obtained information is all to lag, and examine
In the gap periods repaired, the failure operation state of electric system can not be timely found, it is more likely that major accident is caused to produce
It is raw.Moreover, it is brought very according to the method industry that flat schedule and regulation safeguard electric system to enterprise and company
Mostly unnecessary economic loss.Under the main trend of production high efficiency, economic maximization and operational safety, the own warp of this method
It is no longer desirable for that power equipment is accurately monitored and maintained in real time.
As it can be seen that transformer online monitoring is for the repair based on condition of component of entire electric power enterprise and raising asset utilization ratio with non-
The meaning of Chang Chong great, it is a kind of comprehensively, it is accurate, in real time, the transformer monitoring systems of intelligence and high speed are just at construction smart grid
Indispensable a part, the on-line monitoring of transformer is while completion status Detection task, moreover it is possible to monitor on-line in real time
The state of transformer quickly carries out accident early warning to transformer fault, so that the generation of major accident is avoided, at the same time,
Transformer online monitoring can also provide a large amount of data reference information for maintenance after transformer fault, reduce the cost of overhaul.
It therefore, both include passing on the basis of each parameter for the heat engine electricity class for being easy to measure based on transformer online monitoring
The aggregation of data of the transformer equipment of itself level of system is analyzed, it is further contemplated that the operation of power networks scene where transformer influences, is carried out
The multi-dimension information fusion and status assessment application study of transformer.The present invention had both covered the online of the current ontology of transformer
Monitoring data, it is contemplated that the influence of the operation of power networks scene of transformer, accurate status assessment will be improved for electric power enterprise and be supplied
Electric reliability and the service life for extending transformer inject powerful power-assisted.
Summary of the invention
Present invention aims at by more ginsengs in terms of transformer itself electric heating machine aspect and operation of power networks scene
Amount carries out information fusion, realizes the available operating status of online evaluation transformer, (real-time) in time to grasp transformer detected
Really it is state and its development trend, can be used for instructing the repair based on condition of component of transformer.
The present invention proposes a kind of transformer available mode online evaluation method of multi-dimension information fusion, it is characterised in that
Line monitors many-sided information of the electricity of transformer, calorifics, chemistry and this mechanical four dimensions, and by the multiple of this four dimensions
Amount of state information carries out information fusion, realizes the available operating status of online evaluation transformer, specifically includes the following steps:
(1) it is merged by the information of multiple monitoring quantities, respectively obtains four dimensions i.e. electricity, the calorifics, chemistry of transformer
With mechanical four evaluation status；
(2) step (1) the data obtained is normalized；
(3) determine every monitoring quantity data to the index weights and transformer items shape of a certain item state of transformer respectively
Index weights of the state to transformer entirety available mode；
(4) comprehensive evaluation model is established, judges the current operating status of transformer, will be become according to the actual conditions of each index
5 kinds of state differences of depressor are divided into: good, normal, suspicious, reliability decrease, precarious position, and determine latent defect；
(5) AVHRR NDVI data progress use processing is obtained to by step (2), to obtain transformer items state
Assessed value；
(6) it transformer items status assessment that step (5) obtains is carried out information merges to obtain transformer synthesis that shape can be used
State assessment；
(7) online evaluation is carried out to the available mode of transformer and draws the performance graph of transformer available mode, judgement
The safety margin of transformer current operating conditions.
Further, in step (1), the monitoring physical quantity of electricity dimension includes:
1) iron core clamp earthing current；
2) shelf depreciation；
The monitoring physical quantity of calorifics dimension includes:
1) oil temperature；
2) temperature among transformer winding, that is, geometric position；
3) transformer case temperature；
4) air themperature；
The monitoring physical quantity of chemical dimension includes:
3) oil chromatography (H2,CO,CH4,C2H4,C2H2,CO2)；
4) micro- water in oil；
The monitoring physical quantity of mechanical dimensions includes:
3) it shakes；
4) noise.
Further, These parameters weight is determining using the expert's subjectivity assignment and variable weight that are optimized based on uncertainty theory
The method that heavy phase combines, the specific steps of which are as follows:
(3.1) multidigit expert is first obtained to the subjective assignment of indices weight；
(3.2) it is optimized with subjective assignment of the uncertainty theory to multidigit expert, the indices weight after optimization
It is worth the normal weighted value as each index；
(3.3) according to the scoring of indices and normal weighted value, the variable weight of indices is obtained with variable weight formula
Value, variable weight formula are as follows:
In above formula, wi(x1,…,xm) be i-th of individual event quantity of state variable weight coefficient, xiFor i-th individual event quantity of state
Score value, that is, analytical measurement data normalized value, m are the number of individual event quantity of state, wi (0)For the normal of i-th individual event quantity of state
Weight coefficient.
Further, step (2) carries out data normalization using half trapezoidal function method, specific as follows:
The experimental data for requiring to be less than demand value is defined as regulation, quantitative formula is
Regulation is defined as to require the case where being greater than demand value, quantitative formula is
In above formula, X0Indicate that demand value as defined in regulation, X are to measure resulting data, XiFor the value after normalized.
Further, index weights value is determined according to historical data in step (3), the redundancy and adjustment for handling information are demonstrate,proved
Conflict between, the specific method is as follows:
The index weights used determine that method combines for subjective weights with variable weight, wherein by expert's subjective weights Lai really
Permanent weighted value, and subjective assignment is optimized with uncertainty theory, unascertained mathematics theory is thought, to uncertain letter
Breath, being indicated with the reliability distribution of section and the information on section can be than more comprehensively also more meeting practical feelings with determining real number
Condition；
To any closed interval [a, b], a=x1<x2<…<xn=b, if functionMeet
AndThen claim [a, b] andA p rank Uncertainty number is constituted, is remembered
Make [[a, b],]；Degenerate as p=1 and α=1 is real number；Equipped with m experts to n of assessment transformer synthesis state
Index carries out Assessment of Important, obtains estimated value of the m experts about n index by evaluation, and same index j value is identical
Certainty value merged respectively multiplied by after expert reliability, the importance Uncertainty number of index j can be obtained:
In formula, j=1~n；N is index number；[x1,xr] it is index importance value interval；It is important for index
Property value confidence level distribution density function；The importance value for indicating index j is all ωlEstimator's reliability and；Calculate this not
Know the mathematical expectation of rationalIt is rightOnly place's confidence level is not zero x on one point, it is clear that this is not zero
Point be index j weight assignment.
Further, as follows for electricity, machine, change, the determination method of hot four comprehensive state measurements:
Wherein TiFor the individual event quantity of state number that the score value of comprehensive state amount, m are included for this comprehensive state amount, xi
For the score value of i-th of individual event quantity of state, wiThe normal weight coefficient of i-th of individual event quantity of state；Electricity, machine, change, hot four comprehensive shapes
The determination method that individual event quantity of state variable weight is ibid stated in the determination of the variable weight coefficient of state amount is the same, finally by four comprehensive states
Amount carries out information fusion and obtains transformer synthesis available mode assessed value.
The transformer available mode online evaluation system and method for a kind of multi-dimension information fusion provided by the invention, and it is existing
There is technology to compare, transformer electricity can be monitored on-line, heat, changed, the more information amount in terms of machine, information is carried out in two steps and merges it
The current synthesis available mode of transformer and trend are obtained afterwards.Scene can be largely reduced patrols dimension workload, more acurrate, timely
The on-line operation state of transformer is grasped, and obtains suggestion to determine monitored transformer: can continue to run or need
Maintenance is arranged, so that maintenance cost be greatly lowered and extend the transformer station high-voltage side bus time.
Detailed description of the invention
Fig. 1 is that system architecture schematic diagram is monitored in example.
Fig. 2 is the overall flow figure of information processing in example.
Fig. 3 is appraisal procedure specific steps flow chart in example.
Fig. 4 is that transformer can totally use situation dynamic curve diagram in example.
Specific embodiment
Specific implementation of the invention is described further below in conjunction with attached drawing and example, but implementation and protection of the invention
It is without being limited thereto, if being that those skilled in the art can refer to the prior art it is noted that have not specified process below
It realizes.
Fig. 1 is this example monitoring system architecture schematic diagram.To further illustrate a kind of transformer of multi-dimension information fusion
Available mode online evaluation method, as shown in figure 3, itself the following steps are included:
(1) following parameter: iron core grounding current, shelf depreciation exception, oil temperature, winding temperature, transformer case is surveyed respectively
Temperature, air themperature, oil chromatography (H2,CO,CH4,C2H4,C2H2,CO2), vibration, noise, as shown in Figure 2.
(2) step (1) the data obtained is normalized.Data normalization, tool are carried out using half trapezoidal function method
Body is as follows:
The experimental data for requiring to be less than demand value is defined as regulation, quantitative formula is
Regulation is defined as to require the case where being greater than demand value, quantitative formula is
In above formula, X0Indicate that demand value as defined in regulation, X are to measure resulting data, XiFor the value after normalized.
(3) determine every measurement data to the weight and transformer items state of a certain item state of transformer to change respectively
The weight of depressor entirety available mode.
(4) comprehensive evaluation model is established, judges the current operating status of transformer, will be become according to the actual conditions of each index
5 kinds of state differences of depressor are divided into: good, normal, suspicious, reliability decrease, precarious position, and determine latent defect.
(5) AVHRR NDVI data progress use processing is obtained to by step (2), to obtain transformer items state
Assessed value.
(6) the further evidence fusion of transformer items status assessment that step (5) obtains is obtained transformer synthesis can be used
Status assessment.
(7) online evaluation is carried out to the available mode of transformer and draws the performance graph of transformer available mode (as schemed
4), judge the safety margin of transformer current operating conditions.
Transformer as shown in Figure 4 totally can use situation performance graph, the transformer to put into operation as time goes by its
Available mode is constantly changing, when operating status position indicated by red arrow close in figure, transformer will quickly into
Enter reliability decrease state, the inspection work to this transformer can be reinforced at this time, schedule ahead overhauls to avoid accident occurs.
In above-mentioned steps (3), the weight value of information is determined according to historical data, handles the redundancy and adjustment of information
Conflict between evidence, the specific method is as follows:
The index weights used determine that method combines for subjective weights with variable weight.Wherein by expert's subjective weights Lai really
Permanent weighted value, and subjective assignment is optimized with uncertainty theory, unascertained mathematics theory is thought, to uncertain letter
Breath, being indicated with the reliability distribution of section and the information on section can be than more comprehensively also more meeting practical feelings with determining real number
Condition.
To any closed interval [a, b], a=x1<x2<…<xn=b, if functionMeet
AndThen claim [a, b] andA p rank Uncertainty number is constituted, is remembered
Make [[a, b],].Degenerate as p=1 and α=1 is real number.Equipped with m experts to n of assessment transformer synthesis state
Index carries out Assessment of Important, obtains estimated value of the m experts about n index by evaluation, and same index j value is identical
Certainty value merged respectively multiplied by after expert reliability, the importance Uncertainty number of index j can be obtained:
In formula, j=1,2 ..., n；N is index number；[x1,xr] it is index importance value interval；For index
Importance values confidence level distribution density function；The importance value for indicating index j is all ωlEstimator's reliability and.It calculates
The mathematical expectation of the Uncertainty numberIt is rightOnly place's confidence level is not zero x on one point, it is clear that this is not
It is zero point is the weight assignment of index j.
Determination for variable weight, the specific method is as follows:
The typical variable weight calculation formula gone out given in document is as follows:
In above formula, wi(x1,…,xm) be i-th of individual event quantity of state variable weight coefficient, xiFor i-th individual event quantity of state
Score value (i.e. the normalized values of analytical measurement data), m are the number of individual event quantity of state, wi (0)For i-th individual event quantity of state
Normal weight coefficient.
It is as follows for electricity, machine, change, the determination method of hot four comprehensive state measurements:
Wherein TiFor the individual event quantity of state number that the score value of comprehensive state amount, m are included for this comprehensive state amount, xi
For the score value of i-th of individual event quantity of state, wiThe normal weight coefficient of i-th of individual event quantity of state.
Electricity, machine, change, the determination of variable weight coefficient of hot four comprehensive state amounts ibid state individual event quantity of state variable weight really
It is the same to determine method, four comprehensive state amounts are finally subjected to information fusion and obtain transformer synthesis available mode assessed value.
It illustrates below to the variable weight weighing method of this comprehensive state of calorifics dimension in the fusion of transformer first stage:
Four individual event evaluation indexes in calorifics dimension determine weighted value as shown in table 1
Table 1
| Index | Determine weighted value |
| Temperature of oil in transformer | w1 (0)=0.314 |
| Transformer winding temperature | w2 (0)=0.411 |
| Transformer case temperature | w3 (0)=0.167 |
| Air themperature | w4 (0)=0.108 |
Wherein score value (i.e. normalization data) x of temperature of oil in transformer1=0.64, the score value x of transformer winding temperature2
=0.88, the score value x of transformer case temperature3=0.92, the score value x of air themperature4=0.94.Become according to formula (5)
Power can be calculated:
The lower degradation for showing this individual event state of the score value of temperature of oil in transformer is larger, should increase this individual event shape
The weight of state is to keep entire monitoring system more accurate.Above-mentioned calculated result shows, variable weight calculate after temperature of oil in transformer
Weight w1(x1,x2,x3,x4)=0.391 be greater than before determine weighted value w1 (0)=0.314, it was demonstrated that the processing of its variable weight is effective.
Claims (5)
1. a kind of transformer available mode online evaluation method of multi-dimension information fusion, it is characterised in that on-line monitoring transformer
Electricity, many-sided information of calorifics, chemistry and this mechanical four dimensions, and by multiple amount of state information of this four dimensions into
Row information fusion, realizes the available operating status of online evaluation transformer, specifically includes the following steps:
(1) it is merged by the information of multiple monitoring quantities, respectively obtains four dimensions i.e. electricity, calorifics, chemistry and the machine of transformer
Four evaluation status of tool；
(2) step (1) the data obtained is normalized；
(3) determine every monitoring quantity data to the index weights and transformer items state pair of a certain item state of transformer respectively
The index weights of transformer entirety available mode；Determining for index weights is assigned using the expert's subjectivity optimized based on uncertainty theory
The method that value is combined with variable weight, the specific steps of which are as follows:
(3.1) multidigit expert is first obtained to the subjective assignment of indices weight；
(3.2) it is optimized with subjective assignment of the uncertainty theory to multidigit expert, the indices weighted value after optimization is made
For the normal weighted value of each index；
(3.3) according to the scoring of indices and normal weighted value, the variable weight weight values of indices are obtained with variable weight formula,
Variable weight formula is as follows:
(4) in above formula, wi(x1,…,xm) be i-th of individual event quantity of state variable weight coefficient, xiFor commenting for i-th individual event quantity of state
Score value, that is, analytical measurement data normalized value, m are the number of individual event quantity of state, wi (0)For the Chang Quan of i-th of individual event quantity of state
Weight coefficient.
(5) comprehensive evaluation model is established, judges the current operating status of transformer, according to the actual conditions of each index by transformer
5 kinds of state differences are divided into: good, normal, suspicious, reliability decrease, precarious position, and determine latent defect；
(6) AVHRR NDVI data progress use processing is obtained to by step (2), to obtain commenting for transformer items state
Valuation；
(7) it transformer items status assessment that step (5) obtains is carried out information merges to obtain transformer synthesis available mode to comment
Estimate；
(8) online evaluation is carried out to the available mode of transformer and draws the performance graph of transformer available mode, judge transformation
The safety margin of device current operating conditions.
2. a kind of transformer available mode online evaluation method of multi-dimension information fusion according to claim 1, special
Sign is in step (1) that the monitoring physical quantity of electricity dimension includes:
1) iron core clamp earthing current；
2) shelf depreciation；
The monitoring physical quantity of calorifics dimension includes:
1) oil temperature；
2) temperature among transformer winding, that is, geometric position；
3) transformer case temperature；
4) air themperature；
The monitoring physical quantity of chemical dimension includes:
1) oil chromatography；
2) micro- water in oil；
The monitoring physical quantity of mechanical dimensions includes:
1) it shakes；
2) noise.
3. a kind of transformer available mode online evaluation method of multi-dimension information fusion according to claim 1,
It is characterized in that step (2) carry out data normalization using half trapezoidal function method, specific as follows:
The experimental data for requiring to be less than demand value is defined as regulation, quantitative formula is
Regulation is defined as to require the case where being greater than demand value, quantitative formula is
In above formula, X0Indicate that demand value as defined in regulation, X are to measure resulting data, XiFor the value after normalized.
4. a kind of transformer available mode online evaluation method of multi-dimension information fusion according to claim 1, special
Sign is to determine index weights value according to historical data in step (3), handles the redundancy of information and adjust rushing between evidence
Prominent, the specific method is as follows:
The index weights used determine that method combines for subjective weights with variable weight, wherein being determined by expert's subjective weights often
Weighted value, and subjective assignment is optimized with uncertainty theory, unascertained mathematics theory is thought, to uncertain information, uses
The reliability distribution of section and the information on section indicates can be than more comprehensively also more being tallied with the actual situation with determining real number；
To any closed interval [a, b], a=x1<x2<…<xn=b, if functionMeet
AndThen claim [a, b] andA p rank Uncertainty number is constituted, is denoted asDegenerate as p=1 and α=1 is real number；Equipped with m experts to n finger of assessment transformer synthesis state
Mark carries out Assessment of Important, obtains estimated value of the m experts about n index by evaluation, and same index j value is identical
Certainty value is merged respectively multiplied by after expert reliability, can obtain the importance Uncertainty number of index j:
In formula, j=1~n；N is index number；[x1,xr] it is index importance value interval；For index importance value
Confidence level distribution density function；The importance value for indicating index j is all ωlEstimator's reliability and；This is calculated not know
The mathematical expectation of rationalIt is rightOnly place's confidence level is not zero x on one point, it is clear that this point being not zero
The as weight assignment of index j.
5. a kind of transformer available mode online evaluation method of multi-dimension information fusion according to claim 1, special
Sign is as follows for electricity, machine, change, the determination method of hot four comprehensive state measurements:
Wherein TiFor the individual event quantity of state number that the score value of comprehensive state amount, m are included for this comprehensive state amount, xiIt is i-th
The score value of a individual event quantity of state, wiThe normal weight coefficient of i-th of individual event quantity of state；Electricity, machine, change, hot four comprehensive state amounts
Variable weight coefficient determination be same as above state individual event quantity of state variable weight determination method it is the same, finally by four comprehensive state amounts into
Row information fusion obtains transformer synthesis available mode assessed value.
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| CN106841846A (en) * | 2016-12-19 | 2017-06-13 | 广东电网有限责任公司电力调度控制中心 | A kind of transformer state analysis and fault diagnosis method and system |
| CN107607806B (en) * | 2017-08-03 | 2020-01-14 | 中国南方电网有限责任公司 | Method and device for detecting utilization rate of power distribution network equipment |
| CN107609395B (en) * | 2017-08-31 | 2020-10-13 | 中国长江三峡集团公司 | Numerical fusion model construction method and device |
| CN109346268A (en) * | 2018-11-07 | 2019-02-15 | 山东泰开变压器有限公司 | A kind of high voltage large capcity shock type transformer being installed on hydropower station tail water platform and design method |
| CN111160576A (en) * | 2019-12-23 | 2020-05-15 | 华南理工大学 | Quantitative evaluation method, device, equipment and medium for health degree of distribution transformer |
| CN115271285A (en) * | 2021-04-30 | 2022-11-01 | 三一汽车制造有限公司 | Method and device for evaluating working performance of pumping machine and electronic equipment |
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