CN106485333A - A kind of transmission line of electricity running status appraisal procedure - Google Patents
A kind of transmission line of electricity running status appraisal procedure Download PDFInfo
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- CN106485333A CN106485333A CN201610913879.8A CN201610913879A CN106485333A CN 106485333 A CN106485333 A CN 106485333A CN 201610913879 A CN201610913879 A CN 201610913879A CN 106485333 A CN106485333 A CN 106485333A
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Abstract
A kind of transmission line of electricity running status appraisal procedure disclosed by the invention, including：In statistics transmission line of electricity, the fault over the years of part, urgent or significant deficiency, over the years that general defect and typical defect data over the years, the parameter of part in the transmission line of electricity are quantified, are built the multi-dimensional matrix for principal component analysis；Determine the key parameters of part in the transmission line of electricity；The bayesian network structure of part running status in the transmission line of electricity is built, the part in the bayesian network structure includes basis and protective equipment, shaft tower, lead wire and earth wire, insulator chain, gold utensil, lightning protection facility and earthing or grounding means and line protection area；The state probability of the part is counted, builds conditional probability table；Transmission line part defect estimation.The Mathematical Modeling of each unit part evaluation parameter based on PCA is established, improves the acquisition efficiency of evaluation index.
Description
Technical field
The present invention relates to Operation of Electric Systems security technology area, more specifically, is related to a kind of operation of transmission line of electricity
State evaluating method.
Background technology
Overhead transmission line is the main artery of power system, bears the important task for conveying electric energy, is the important of power system
Part.Overhead transmission line is from putting into operation, it is necessary that the safety and reliability of the ability of its transmission of electricity and operation
Level, the various states occurred in circuit running, all affect the normal operation of whole circuit to a certain extent, or even
Different degrees of impact and threat are brought to the safe operation of whole power system.In this way, fast with China's power construction
Speed increases, and the scale of electric power networks increasingly increases, and safe and stable operation to overhead transmission line, monitoring and protection are proposed more
High requirement.
At present, carry out the development of comprehensively and effectively power transmission state monitoring and state estimation coincidence circuit intellectuality O＆M
Trend, now monitoring are focused mostly in on-line monitoring, and such as the monitoring to the circuit running status such as icing, filth, is supervised online by minority
Survey parameter and obtain the states such as line ice coating, filth；State estimation is concentrated mainly on state evaluation directive/guide.
However, the operation of ultra-high-tension power transmission line is presented, wide, the residing geographical environment of distribution is severe and weather environment is complicated
Feature, existing monitoring and assessment are focused mostly in the assessment of a certain state (as icing, filth), lack total evaluation, evaluate mould
Type is single, mostly assesses directive/guide, and intelligent algorithm research is less, assesses parameter disunity, often ignores the validity of assessment parameter
And redundancy.
Content of the invention
It is an object of the invention to provide a kind of transmission line of electricity running status appraisal procedure, in running to ultra-high-tension power transmission line
State accurately and effectively assessed.
In order to solve above-mentioned technical problem, the present invention provides following technical scheme：
A kind of transmission line of electricity running status appraisal procedure that the present invention is provided, including：
The fault over the years of part, urgent or significant deficiency, over the years that general defect and typical case over the years in statistics transmission line of electricity
Defective data, the parameter of part in the transmission line of electricity is quantified, and builds the multi-dimensional matrix for principal component analysis；
Determine the key parameters of part in the transmission line of electricity；
The bayesian network structure of part running status in the transmission line of electricity is built, in the bayesian network structure
Part includes basis and protective equipment, shaft tower, lead wire and earth wire, insulator chain, gold utensil, lightning protection facility and earthing or grounding means and line protection
Area；
The state probability of the part is counted, builds conditional probability table；
Transmission line part defect estimation.
Preferably, in above-mentioned transmission line of electricity running status appraisal procedure, the event over the years of part in the statistics transmission line of electricity
Barrier, urgent or significant deficiency, over the years that general defect and typical defect data over the years, by the parameter of part in the transmission line of electricity
Quantified, the multi-dimensional matrix for principal component analysis is built, is specifically included：
According to the fault over the years of part, over the years urgent or significant deficiency in the statistics transmission line of electricity, that typically lacks over the years
Fall into and typical defect data, each parameter in the parameter is quantified as four-dimensional array, be denoted as parameter=(A1, A2, A3,
A4), A1 represent in fault statistics to should parameter number；A2 represent in urgent or significant deficiency statistics to should parameter
Number；A3 represent in general defect to should parameter percentage；A4 represents all kinds of defects in typical defect storehouse to should parameter
Number；
Matrix X, the N that the parameter is quantized into N × 4 dimension represents parameter number in part；
According to the definition of PCA, the data matrix X=(X of p × n rank is obtained1,X2,…,Xp)T,Wherein n represents number of samples, and p represents all parameter numbers, X1,X2,…,XpTable
Show the corresponding sample of p parameter.
Preferably, in above-mentioned transmission line of electricity running status appraisal procedure, the pass for determining part in the transmission line of electricity
Key parameter, specifically includes：
The data matrix X is standardized, orthogonalization, obtain correlation matrix R,Singular value decomposition is carried out to the R, characteristic value and the characteristic vector of R is obtained, its
Middle λ1≥λ2≥…≥λp>=0 represents tactic p characteristic value by size, α1,α2,…,αpIt is characterized the corresponding feature of value
Vector；
By contribution rate of accumulative total is calculated, principal component number is determined；
Calculate the comprehensive score of principal component；
Derive the weight of comprehensive score；Parameter by weight more than 0.5 is set to the key of part in the transmission line of electricity
Parameter.
The transmission line of electricity running status appraisal procedure that the present invention is provided, establishes each unit portion based on PCA
The Mathematical Modeling of part assessment parameter, improves the acquisition efficiency of evaluation index.Propose the state estimation based on Bayesian network
Algorithm, obtains the conditional probability of each index parameter of circuit using maximum likelihood training, by causal reasoning judge circuit with
The running status of each part, and verified by example.Design and develop transmission line status assessment experts system.Based on many
Integrated data platform after source data fusion, transmission line status evaluation studies achievement is developed realization.
Description of the drawings
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to making needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, for those of ordinary skills, do not paying creative work
Property on the premise of, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the structure flow chart of the transmission line of electricity running status appraisal procedure that the present invention implements to provide；
Fig. 2 is the bayesian network structure figure of the Condition of Overhead Transmission Lines Based assessment that the present invention implements to provide.
Specific embodiment
A kind of transmission line of electricity running status appraisal procedure provided in an embodiment of the present invention, in running to ultra-high-tension power transmission line
State accurately and effectively assessed.
In order that those skilled in the art more fully understand the technical scheme in the embodiment of the present invention, and make reality of the present invention
Apply the above-mentioned purpose of example, feature and advantage can become apparent from understandable, below in conjunction with the accompanying drawings to the technology in the embodiment of the present invention
Scheme is described in further detail.
Referring to accompanying drawing 1, transmission line of electricity running status appraisal procedure provided in an embodiment of the present invention is the figure shows, concrete step
Rapid as follows：
S101：The fault over the years of part in statistics transmission line of electricity, over the years urgent or significant deficiency, over the years that general defect and
Typical defect data, the parameter of part in the transmission line of electricity is quantified, and builds the multi-dimensional matrix for principal component analysis.
According to fault statistics over the years, urgent or significant deficiency statistics over the years, general defect statistics, typical defect storehouse over the years,
The fault over the years of part, urgent or significant deficiency, over the years that general defect and typical defect data over the years in statistics transmission line of electricity.
Part in transmission line of electricity is made a distinction, the parameter of each part is quantified, the principal component of each part of component is divided
The multi-dimensional matrix of analysis.Preferably, the parameter of each part is quantified, the principal component analysis of each part of component many
Tie up comprising the following steps that for matrix：
(1) 4 dimension groups, i.e. parameter=(A1, A2, A3, A4) are quantified as each parameter：
A1 represent in fault statistics to should parameter number；
A2 represent in urgent or significant deficiency statistics to should parameter number；
A3 represent in general defect to should parameter percentage；
A4 represent all kinds of defects in typical defect storehouse to should parameter number.
(2) matrix X, the wherein N that each sub-unit parameter distribution is quantized into N × 4 dimension represents quantity of state in the sub-unit
Number.
(3) the data matrix X=(X of p × n rank, according to the definition of PCA, is obtained1,X2,…,Xp)T, its
Middle n represents number of samples, and p represents all parameter numbers, X1,X2,…,XpThe corresponding sample of p parameter of expression,
S102：Determine the key parameters of part in the transmission line of electricity
For each part in transmission line of electricity, the parameter according to each part produces defect or fault shadow to part
Loud size, chooses the key parameters of part in transmission line of electricity.
According to the data matrix X=(X in above-mentioned steps1,X2,…,Xp)T, by calculating, part in screening transmission line of electricity
Key parameters.
RightBe standardized, orthogonalization, obtain correlation matrix R,
Singular value decomposition is carried out, obtains characteristic value and the characteristic vector of R, wherein λ1≥λ2≥…≥λp>=0 represents by size
Tactic p characteristic value, α1,α2,…,αpIt is characterized the corresponding characteristic vector of value.
By contribution rate of accumulative total is calculated, principal component number is determined.According to contribution rate：
Contribution rate of accumulative total：
λ1,λ2,…,λmContribution rate of accumulative total belong to the confidential interval of 85%-95%, it is determined that have m principal component use
The basic parameter information (m≤p) of original p is characterized, F=(F is designated as1,F2,…,Fm)T.
Calculate the comprehensive score of principal component.M principal component is weighted, calculates the comprehensive score of principal componentWith
Ranking and evaluation are carried out to each parameter using comprehensive score：
Derive the weight of comprehensive score；Parameter by weight more than 0.5 is set to the key of part in the transmission line of electricity
Parameter.
Variance should be consistent with the variance contribution sum of m principal component, i.e.,
According to the Thomson method in factorial analysis, can derive that Factor load-matrix A can approximately use AR-1Carry out table
Show, therefore deriveVariance be：
According to the definition of correlation matrix R, have：Cov(X,XT)=R,So as to
Therefore, weights omegaiValue be
The weight vectors C of parameter is normalized to [0,1], weight shows that more greatly correlation is stronger, the basic parameter more has
Representative, according to expertise and simulated maneuver, the basic parameter by weight more than 0.5 elects key parameters as.
Such as, in transmission line of electricity, part Insulators Used parameter is numerous, and the screening for carrying out critical quantity through above-mentioned steps is permissible
Insulator state assessment parameter table is obtained, in table, shows the key parameters that insulator is taken the first eight place, such as table 1 below：
Table 1
S103：Build the bayesian network structure of part running status in the transmission line of electricity, the Bayesian network knot
Part in structure includes basis and protective equipment, shaft tower, lead wire and earth wire, insulator chain, gold utensil, lightning protection facility and earthing or grounding means and line
Road guard plot.
According to the statistics of part parameter and calculating in transmission line of electricity in S101 and S102, part operation in transmission line of electricity is built
The bayesian network structure of state.Part in bayesian network structure includes basis and protective equipment, shaft tower, lead wire and earth wire, absolutely
Edge substring, gold utensil, lightning protection facility and earthing or grounding means and line protection area.Refer to accompanying drawing 2.
S104：The state probability of the part is counted, builds conditional probability table
Using each subassembly as entirety, data are observed according to history, statistics a period of time is (for example with year as time period system
Meter) in the ratio of number of times of the part in certain state and total monitoring number of times be the state frequency of occurrences estimating as state probability
Value.The prior probability valuation form of the basic index parameter of certain part is as follows：
Wherein, i=1,2 ... Q, are the time periods of the i-th statistics, CiFor a certain index parameter of the part, ni、vi、yiAnd si
C is represented respectivelyiMonitoring number of times or statistical magnitude positioned at different conditions property value, m are monitored in operationiIt is always to monitor number of times
Or statistics sum, ni+vi+yi+si=mi.
Conditional probability table have expressed dependency relation of the node with father node, and the conditional probability without any father node is its elder generation
Test probability.The conditional probability table of Bayesian network is determined according to expertise or parameter learning.
Parametric learning method can adopt the study based on the classical theory of statistics (maximal possibility estimation) and be united based on Bayes
The study that meter is learned, and when data are incomplete using EM algorithm as auxiliary, in conjunction with related data and expertise as benefit
Fill.This project is being joined using the method for the parameter learning combined with related data and expertise based on maximal possibility estimation
During mathematics is practised, sample data is divided into two parts, and a part is training sample, and for estimating parameter, another part is test samples,
Checking for result.
The conditional probability table of each part has table 2 and form shown in table 3：
Table 2
Table 3
Wherein, CjFor BjIndex parameter number, i=1,2 ..., Cj, j=1,2 ..., 7.
S105：Transmission line part defect estimation.
When the running status of each parameter Ci (i=1,2 ... Q) of certain part B j is respectively tiDuring ∈ { 1,2,3,4 }, determine
4 kinds of state probabilities of certain part B j operation：
Wherein, k=1,2,3,4.
The state probability of either component Bj operation is by the current running status probability P (C of its each parameteri=ti) reasoning obtains
Arrive, and the overall running status probability of circuit A is then by the running status probability P (B that its each part is currentj=tj) reasoning obtains.Root
According to result of calculation filter out maximum probability that as assessment result.
For describing the transmission line of electricity running status appraisal procedure that the present invention is provided in detail, now give an actual example explanation：
Certain 500kV circuit, steel tower radix are 387；Insulator chain number is 2322, and wherein composite insulator 124 is gone here and there, and glass is exhausted
Edge 636 is gone here and there, and porcelain insulator 1562 is gone here and there；Gold utensil 8817；Basis is 387 with earthing or grounding means number；386 grades of lead wire and earth wire, its
Middle wire sum is 1158, and ground wire sum is 772；Leakage conductor number is 6, and lightning protection facility number is 42.
By taking shaft tower part as an example, according to measurement data, its state probability is calculated.Shaft tower inclination is obtained by historical measurement data
The prior probability of degree is respectively：P (C1=1)=0.960, P (C1=2)=0.031, P (C1=3)=0.008, P (C1=4)=
0.001；Bar (tower) top amount of deflection C2 prior probability is respectively：0.990,0.008,0.002,0；Iron tower main material flexibility C3 priori is general
Rate is respectively：0.962,0.030,0.006,0.002 ..., specifically it is shown in Table 4, table 5.
Prior probability of each index parameter of table 4 to shaft tower
Conditional probability table of the 5 index parameter of table to shaft tower
The parameters such as shaft tower gradient C1 of actual measurement, bar (tower) top amount of deflection C2 are normal condition；Steel tube tower main material flexibility
State C3, firm situation C5 of tower bolt, steel tower surface come off, corrosion situation C6 is attention state, as shown in table 6：
Table 6：Shaft tower state probability situation table
The each probable value size of comparison, shows shaft tower in normal condition.
In the same manner, the turntable probability of miscellaneous part is tried to achieve, as shown in table 7：
Table 7
Each embodiment in this specification is all described by the way of going forward one by one, identical similar portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiments.
Invention described above embodiment, does not constitute limiting the scope of the present invention.Any in the present invention
Spirit and principle within modification, equivalent and improvement for being made etc., should be included within the scope of the present invention.
Claims (3)
1. a kind of transmission line of electricity running status appraisal procedure, it is characterised in that include：
The fault over the years of part, urgent or significant deficiency, over the years that general defect and typical defect over the years in statistics transmission line of electricity
Data, the parameter of part in the transmission line of electricity is quantified, and builds the multi-dimensional matrix for principal component analysis；
Determine the key parameters of part in the transmission line of electricity；
Build the bayesian network structure of part running status in the transmission line of electricity, the part in the bayesian network structure
Including basis and protective equipment, shaft tower, lead wire and earth wire, insulator chain, gold utensil, lightning protection facility and earthing or grounding means and line protection area；
The state probability of the part is counted, builds conditional probability table；
Transmission line part defect estimation.
2. transmission line of electricity running status appraisal procedure according to claim 1, it is characterised in that the statistics transmission line of electricity
The fault over the years of middle part, urgent or significant deficiency, over the years that general defect and typical defect data over the years, by the power transmission line
In road, the parameter of part is quantified, and is built the multi-dimensional matrix for principal component analysis, is specifically included：
According to the fault over the years of part in the statistics transmission line of electricity, over the years urgent or significant deficiency, over the years that general defect and
Typical defect data, each parameter in the parameter is quantified as four-dimensional array, is denoted as parameter=(A1, A2, A3, A4), A1
Represent fault statistics in should parameter number；A2 represent in urgent or significant deficiency statistics to should parameter number；A3
Represent in general defect to should parameter percentage；A4 represent all kinds of defects in typical defect storehouse to should parameter number；
Matrix X, the N that the parameter is quantized into N × 4 dimension represents parameter number in part；
According to the definition of PCA, the data matrix X=(X of p × n rank is obtained1,X2,…,Xp)T,Wherein n represents number of samples, and p represents all parameter numbers, X1,X2,…,XpTable
Show the corresponding sample of p parameter.
3. transmission line of electricity running status appraisal procedure according to claim 2, it is characterised in that the determination transmission of electricity
In circuit, the key parameters of part, specifically include：
The data matrix X is standardized, orthogonalization, obtain correlation matrix R,Singular value decomposition is carried out to the R, characteristic value and the characteristic vector of R is obtained, its
Middle λ1≥λ2≥…≥λp>=0 represents tactic p characteristic value by size, α1,α2,…,αpIt is characterized the corresponding feature of value
Vector；
By contribution rate of accumulative total is calculated, principal component number is determined；
Calculate the comprehensive score of principal component；
Derive the weight of comprehensive score；Parameter by weight more than 0.5 is set to the key parameters of part in the transmission line of electricity.
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| CN107221882A (en) * | 2017-07-06 | 2017-09-29 | 国家电网公司 | A kind of leakage conductor installs reconnaissance method |
| CN107886218A (en) * | 2017-10-20 | 2018-04-06 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | A kind of insulator running status comprehensive estimation method |
| CN109544399A (en) * | 2018-11-29 | 2019-03-29 | 广东电网有限责任公司 | Transmission facility method for evaluating state and device based on multi-source heterogeneous data |
| CN110135489A (en) * | 2019-05-10 | 2019-08-16 | 莆田学院 | A kind of key transmission identification of lines method and storage equipment based on Principal Component Analysis |
| CN111783344A (en) * | 2020-07-07 | 2020-10-16 | 天津大学 | Method for simulation analysis of cable defects based on magnetic field distribution characteristics |
| CN112712185A (en) * | 2020-12-29 | 2021-04-27 | 广东电网有限责任公司佛山供电局 | Intelligent clustering combination generation method for power transmission line inspection operation plan |
| CN113408842A (en) * | 2021-04-29 | 2021-09-17 | 中国南方电网有限责任公司超高压输电公司昆明局 | High-voltage transmission line state evaluation method based on association rule Bayesian network |
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| CN107221882A (en) * | 2017-07-06 | 2017-09-29 | 国家电网公司 | A kind of leakage conductor installs reconnaissance method |
| CN107886218A (en) * | 2017-10-20 | 2018-04-06 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | A kind of insulator running status comprehensive estimation method |
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| CN109544399A (en) * | 2018-11-29 | 2019-03-29 | 广东电网有限责任公司 | Transmission facility method for evaluating state and device based on multi-source heterogeneous data |
| CN110135489A (en) * | 2019-05-10 | 2019-08-16 | 莆田学院 | A kind of key transmission identification of lines method and storage equipment based on Principal Component Analysis |
| CN111783344A (en) * | 2020-07-07 | 2020-10-16 | 天津大学 | Method for simulation analysis of cable defects based on magnetic field distribution characteristics |
| CN111783344B (en) * | 2020-07-07 | 2024-03-08 | 天津大学 | Method for simulating and analyzing cable defects based on magnetic field distribution characteristics |
| CN112712185A (en) * | 2020-12-29 | 2021-04-27 | 广东电网有限责任公司佛山供电局 | Intelligent clustering combination generation method for power transmission line inspection operation plan |
| CN113408842A (en) * | 2021-04-29 | 2021-09-17 | 中国南方电网有限责任公司超高压输电公司昆明局 | High-voltage transmission line state evaluation method based on association rule Bayesian network |
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