CN106526424A - Power transmission line single-phase ground fault parameter recognition method - Google Patents
Power transmission line single-phase ground fault parameter recognition method Download PDFInfo
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- CN106526424A CN106526424A CN201611040399.1A CN201611040399A CN106526424A CN 106526424 A CN106526424 A CN 106526424A CN 201611040399 A CN201611040399 A CN 201611040399A CN 106526424 A CN106526424 A CN 106526424A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention provides a power transmission line single-phase ground fault parameter recognition method. In the power transmission line single-phase ground fault parameter recognition method, when a single-phase ground fault occurs, line data is measured by phasor measurement devices arranged on two lines of a hybrid power transmission line, the least square method is improved by using uncertainty estimation to obtain new uncertainty estimation, and the new uncertainty estimation can eliminate the influence of measurement errors and even gross errors, thus improving the reliability and accuracy of the parameter recognition result. The power transmission line single-phase ground fault parameter recognition method can accurately position the fault line, and thus has a good application prospect.
Description
Technical field
A kind of the present invention relates to Fault Identification technical field, more particularly to transmission line one-phase earth fault parameter identification side
Method.
Background technology
With the high speed development in modernization cities and towns, city space growing tension, and for transmission line of electricity, aerial line corridor is not
Only need to take a large amount of space resources, and intersect in length and breadth also unsightly in the air, therefore, most of cities adopt buried cable generation
Transmit electric power for aerial line.Laying in a large number for cable not only beautify the appearance of the city, Optimizing City layout, and the capacity ratio of cable is maked somebody a mere figurehead
Line is much bigger, it is thus possible to improve power factor, improves circuit transmission capacity.It is relatively costly due to cabling, therefore,
Aerial line is still used typically away from the region in city, so as to transmission line of electricity defines overhead lines combined with cable.
The fault distance-finding method of overhead lines combined with cable is generally travelling wave ranging, failure analysis methods and traveling wave method.
Travelling wave ranging mainly includes velocity of wave normalization method and traveling wave time difference method, and wherein, velocity of wave normalization method is by cable or aerial line
Wave velocity and length carry out reduction, joint line need to be reduced to uniline in reduction and be found range, and calculate event
Barrier distance, so that be reconverted into the length of actual track；But the method needs to convert repeatedly, and row wave speed because line parameter circuit value with
And the environment of surrounding impact and certain fluctuation is presented, therefore calculation error is larger.Traveling wave time difference method passes through fault traveling wave
The time difference for reaching two ends first determines faulty line section, is accurately positioned according to single-ended or both-end traveling wave method, the method
It is more accurate with respect to velocity of wave normalization method, but due in cable traveling wave attenuation ratio it is very fast, joint line two ends wave head is difficult to detect, mixes
The reason for zygonema road wave process complexity etc. and being difficult to, judges that wavefront is originated.Fault analytical method is pushed away by both-end voltage, electric current
Connection point voltage, electric current is calculated, according to amplitude com parison localization of faults place branch road, the last relevant parameter according to fault branch changes
In generation, solves position of failure point, and the method is only applicable to the joint line of only two or three section of simple structure, for power cable, frame
The multistage joint line that ceases to be busy is alternately present, fault analytical method criterion are more complicated, and error can be with cable, aerial line junction point
Increase and increase, so as to reduce range accuracy.Exist at aspects such as physical arrangement, electrical characteristics due to cable and aerial line
Difference, traditional travelling wave ranging and failure analysis methods all cannot be suitable for completely when mixed line fault range finding is applied to, and
Traveling wave rule is simple due to range finding, is not affected by transition resistance, fault type, is widely applied in recent years.
According to the fault distance-finding method of overhead lines combined with cable, it is typically necessary and line fault parameter is known
Not with measurement, so that it is determined that the circuit of line failure, therefore the whether accurate of line fault parameter measurement is directly connected to
Break down the determination of circuit.For both sides are equiped with the joint line of phasor measuring set, current line fault parameter
Measuring method is required to artificially enter the division control of row line or additional zero sequence power supply, and this not only consumes manpower and materials but also meeting
Affect the stable operation of electrical network.In the identification of circuit fault parameter, due to most of error in measurement Normal Distribution, therefore make
Method of least square (Least squares, LS) for processing such measurement is usually used in fault parameter identification, but, when measurement number
When there is gross error according in, actual value is often deviateed based on LS recognition results, so that what joint line broke down
Circuit determines inaccurate.
The content of the invention
The present invention provides a kind of transmission line one-phase earth fault parameter identification method, to solve when appearance in metric data
During gross error, the larger problem of existing fault parameter recognition methodss recognition result deviation.
The present invention is included by a kind of transmission line one-phase earth fault parameter identification method, the recognition methodss：
The initial weight P of each phasor measuring set measurement point in setting transmission line of electricityi (0)；
The initial value of the phasor measuring set measured value is calculated according to LS
According to the initial valueCalculate residual error ν of the phasor measuring set measured value(0)；
According to residual error ν(0)With the weighted value of equal value of phasor measuring set measurement point described in uncertainty calculation
According to the weighted value of equal valueIterate to calculate the new parameter end value of the phasor measuring set measured value
With new residual error ν(k), wherein,
JudgeWhether ε, ε=0.01 are less than or equal to；
If describedLess than or equal to ε, then recognition result is exported
If describedMore than ε, then the weighted value of equal value of the phasor measuring set measurement point is recalculatedUntil describedLess than and be equal to ε.
Preferably, the initial weight P for setting each phasor measuring set measurement point in transmission line of electricityi (0)Include before：
The residual voltage and electric current phasor of each phasor measuring set measurement point during acquisition singlephase earth fault；
Phasor β, line parameter circuit value phasor α to be identified and matrix A are formed by the residual voltage and the electric current phasor.
Preferably, the initial weight P for setting each phasor measuring set measurement point in transmission line of electricityi (0)Including：
Obtain quantity N of the phasor measuring set measurement point；
The initial weight P of each phasor measuring set measurement point is set according to quantity Ni (0)For 1/N.
Preferably, it is described according to residual error ν(0)With the equivalence of phasor measuring set measurement point described in uncertainty calculation
Weighted valueIncluding：
According to residual error ν(0)Uncertain angle value ρ (ν is calculated with control coefrficient ci)；
Judge the uncertain angle value ρ (νi) whether it is more than 0.5；
If the uncertain angle value ρ (νi) be more than 0.5, then the phasor measuring set measured value is deleted；
If the uncertain angle value ρ (νi) be less than or equal to 0.5, then retain the phasor measuring set measured value；
Judge residual error ν(0)The size of absolute value and the control coefrficient c；
If residual error ν(0)Absolute value is less than or equal to the control coefrficient c, then weighted value of equal value
If residual error ν(0)Absolute value is more than the control coefrficient c, then weighted value of equal value
Preferably, the weighted value of equal value for recalculating the phasor measuring set measurement pointIncluding：
Judge residual error ν(k)The size of absolute value and the control coefrficient c；
If residual error ν(k)Absolute value is less than or equal to the control coefrficient c, then weighted value of equal value
If residual error ν(k)Absolute value is more than the control coefrficient c, then weighted value of equal value
Preferably, the span of the control coefrficient c is 1.0-2.0.
Preferably, the value of the control coefrficient c is 1.7.
The technical scheme that embodiments of the invention are provided can include following beneficial effect：
The present invention provides a kind of transmission line one-phase earth fault parameter identification method, and the recognition methodss include：Setting transmission of electricity
The initial weight P of each phasor measuring set measurement point in circuiti (0)；The initial value of the phasor measuring set measured value is calculated according to LSAccording to the initial valueCalculate residual error ν of the phasor measuring set measured value(0)；According to residual error ν(0)And control coefrficient
C calculates the weighted value of equal value of the phasor measuring set measurement pointAccording to the weighted value of equal valueIterate to calculate the phasor
The new parameter value of measurement apparatus measured valueWith new residual error ν(k), wherein,
JudgeWhether ε, ε=0.01 are less than or equal to；If describedLess than or equal to ε, then output identification is tied
ReallyIf describedMore than ε, then the weighted value of equal value of the phasor measuring set measurement point is recalculated
Until describedLess than and be equal to ε.In the transmission line one-phase earth fault parameter identification method that the present invention is provided
In, when there is singlephase earth fault, the phasor measuring set for being arranged on mixed power transmission line both sides is surveyed to track data
Amount, is improved to LS by using estimation of uncertainty and obtains new estimation of uncertainty, and new estimation of uncertainty can
The error in measurement even impact brought by gross error is eliminated, and then increases reliability and the accuracy of parameter recognition result.This
Invention provide transmission line one-phase earth fault parameter identification method can be accurately to breaking down circuit position, because
And have a good application prospect.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
The present invention can be limited.
Description of the drawings
During accompanying drawing herein is merged in description and the part of this specification is constituted, show the enforcement for meeting the present invention
Example, and be used for explaining the principle of the present invention together with description.
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without having to pay creative labor, can be with according to these other accompanying drawings of accompanying drawings acquisition.
Fig. 1 is the method flow diagram of transmission line one-phase earth fault parameter identification method provided in an embodiment of the present invention；
Fig. 2 is π types equivalent circuit diagram provided in an embodiment of the present invention；
Fig. 3 is voltage magnitude figure b, c biphase during actual measurement online data provided in an embodiment of the present invention is tested.
Specific embodiment
Here in detail exemplary embodiment will be illustrated, its example is illustrated in the accompanying drawings.Explained below 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.Conversely, they be only with as appended by
The example of consistent apparatus and method in terms of some described in detail in claims, the present invention.
Accompanying drawing 1 is refer to, accompanying drawing 1 shows transmission line one-phase earth fault parameter identification provided in an embodiment of the present invention
The method flow diagram of method, the description of following fault parameter recognition methodss is based on accompanying drawing 1.
Transmission line one-phase earth fault parameter identification method provided in an embodiment of the present invention includes：
S01：The initial weight P of each phasor measuring set measurement point in setting transmission line of electricityi (0)；
S02：The initial value of the phasor measuring set measured value is calculated according to LS
S03：According to the initial valueCalculate residual error ν of the phasor measuring set measured value(0)；
S04：According to residual error ν(0), control coefrficient c and phasor measuring set measurement point described in uncertainty calculation etc.
Valency weighted value
S05：According to the weighted value of equal valueIterate to calculate the new parameter value of the phasor measuring set measured value
With new residual error ν(k), wherein,
S06：JudgeWhether ε, ε=0.01 are less than or equal to；
S07：If describedLess than or equal to ε, then recognition result is exported
S08：If describedMore than ε, then the weight of equal value of the phasor measuring set measurement point is recalculated
ValueThat is repeat step S04, until describedLess than and be equal to ε.
Specifically method is：
S01：The initial weight P of each phasor measuring set measurement point in setting transmission line of electricityi (0)；
For overhead lines combined with cable bilateral has installed the circuit of phasor measuring set, when generation single-phase earthing
During failure, to the three-phase voltage before reclosing, electric current phasor after the single-phase tripping operation of each phasor measuring set record chopper, and then
Corresponding residual voltage, electric current phasor are obtained in that by calculating.π type equivalent circuit diagrams shown in 2 with reference to the accompanying drawings, can be by zero
Sequence voltage, electric current phasor are classified as the equations of line, and the equations of line are：
Wherein,Circuit m end zero sequence voltage components and zero are represented respectively
Sequence current component；Circuit n end zero sequence voltage components and zero-sequence current component is represented respectively；Z0=R0+jX0Represent zero sequence
Impedance, Y0=jB0Represent zero sequence susceptance over the ground.
And then be two real part equations and two imaginary part equations by equations of line abbreviation, by real part equation and imaginary part equation group
Into matrix it is：
Wherein, Im0R, Im0I, In0R, In0IRepresent m
The real part and imaginary part of end and n ends zero-sequence current phasor；Um0, θm0, Un0, θn0Represent m ends and n ends residual voltage phasor amplitude and
Phase angle；g0、b0Represent 1/Z0Real part and imaginary part；yC0Represent Y0/ 2 imaginary part.
The constant term of the zero-sequence current phasor real part in matrix and imaginary part composition, matrix A is replaced to replace matrix by phasor β
Middle circuit m, the coefficient matrix that n two ends residual voltage phasor real part is constituted with imaginary part, α=[g0 b0 yC0]TReplace line to be identified
LUSHEN number phasor, and measurement residuals phasor v formed because of phasor measuring set error in measurement is added, form the identification side of parameter
Journey, the parameter recognize that equation is：β=A α+ν；
Parameter identification object function is obtained in that by LS and parameter identification equation, the parameter identification object function is：
Wherein, N counts for data, i.e., the phasor measuring set in mixed power transmission line is surveyed
The quantity of amount point；viFor the residual error phasor of i-th data point；PiFor the weight of i-th data point, then target letter is recognized with parameter
Counting corresponding parameter recognition results is：Wherein, P is that diagonal element is PiWeight matrix.
The initial weight P of each phasor measuring set measurement point is set according to data points Ni (0)For 1/N, i.e., i-th data
The initial weight of point is 1/N.
S02：The initial value of phasor measuring set measured value is calculated according to LSThe initial value
S03：According to initial valueAnd parameter identification equation β=A α+ν calculate residual error ν of phasor measuring set measured value(0)；
S04：According to residual error ν(0), control coefrficient c and uncertainty calculation phasor measuring set measurement point weighted value of equal value
Parameter is replaced to recognize the sum of squares function in object function using slower function ρ is increased, according to residual error ν(0)And control
Coefficient c processed calculates uncertain angle value ρ (νi), wherein, do not know angle value ρ (νi) computing formula be：
Wherein, the span of control coefrficient c is generally 1.0-2.0, at this
In inventive embodiments, it is optimization uncertainty and to improve parameter be other accuracy, the value of control coefrficient c is preferably 1.7；
The uncertain angle value ρ (ν calculated by judgementi) whether it is more than 0.5；
If uncertain angle value ρ (νi) be more than 0.5, then the measured value measured by phasor measuring set measurement point is deleted；
If uncertain angle value ρ (νi) be less than or equal to 0.5, then retain the measurement measured by phasor measuring set measurement point
Value；
By uncertain angle value ρ (νi) determine that its Modified Equivalent Weight Function isThe Modified Equivalent Weight FunctionComputing formula be：
Judge residual error ν(0)The size of absolute value and the control coefrficient c；
If residual error ν(0)Absolute value be less than or equal to control coefrficient c, then retain initial weight value, i.e. initial weight value etc.
Valency weighted value is
If residual error ν (0) absolute value be more than control coefrficient c, then initial weight value is carried out drop power, i.e. initial weight value etc.
Valency weighted value is
S05：According to the weighted value of equal value of initial weight valueThe new parameter knot of iterative calculation phasor measuring set measured value
Fruit is worthWith new residual error ν(k), wherein,
Due to having used the sum of squares function increased in slower function ρ replacement parameter identification object functions, i.e. parameter
Identification object function has occurred and that change, then the parameter recognition result corresponding with the parameter identification object function after change is：Residual computations function isParameter recognition result is based on uncertainty
The least-squares iteration function of estimation.
S06：JudgeWhether ε, ε=0.01 are less than or equal to；
S07：IfLess than or equal to ε, then recognition result is exported
S08：IfMore than ε, then repeat step S04-S06, untilLess than and be equal to ε, so as to
Output parameter recognition result
Transmission line one-phase earth fault parameter identification method provided in an embodiment of the present invention is by different metric data
Different weights are given, and least square (RLS) iteration function based on estimation of uncertainty can be larger by uncertainty
Numerical value is removed, while drop power can also be carried out to bad data, so as to eliminate the impact of bad data, improves the standard of recognition result
True property and reliability.
For verifying transmission line one-phase earth fault parameter identification method identification of defective parameter provided in an embodiment of the present invention
With higher accuracy and reliability, the embodiment of the present invention is also from BPA (Bonneville Power Administration)
Which is verified in terms of emulation data test and actual measurement online data two, the particular content of checking is：
1st, BPA emulation data test
A line length 200km is built in BPA power system simulation softwares, and electric pressure is built on stilts defeated single time of 220kV
Electric line, zero sequence resistance R0=27.8456 Ω, zero-sequence reactance X0=99.8648 Ω, zero sequence susceptance B over the ground0=2.1876 × 10- 4S.Assume that the circuit occurs single-pole reclosing after singlephase earth fault, after gathering single-phase tripping operation, this time is completed to reclosing
The circuit two ends Phasor Measurements data of 0.5s in section, wherein, the sampling period is 0.01s, while entering line with RLS methods and LS methods
LUSHEN number recognizes that experimental enviroment records the parameter recognition result of bad data for adding random noise.
1.1 noise resisting abilities are tested
1. Gaussian noise is superimposed in three-phase voltage amplitude is measured and measured with the amplitude of three-phase current simultaneously, record noiseless
With the parameter recognition result of two kinds of algorithms when having noise, the recognition result refer to table 1.
Table 1：The recognition result of RLS methods and LS methods in the case where having noise and noise free conditions
Can learn from table 1, when there is no noise in measurement, RLS methods are protected to all data and weighed, identical with LS methods,
The kernel estimators latter two method eligible result such as RLS methods are carried out is consistent with design load；There is standard deviation in the measurement for 0.5%
Random noise in the case of, part residual error slightly larger data are carried out drop power by RLS methods, the recognition result for being obtained be better than LS
Method.
2. be superimposed in three-phase voltage amplitude is measured and measured with the amplitude of three-phase current standard deviation respectively 0.5%, 1% and
2% random noise, the parameter recognition result of two kinds of algorithms during record difference noise, the recognition result refer to table 2.
Table 2：The recognition result of RLS methods and LS methods under different noise conditions
Can learn from table 2, the data volume that there is big residual error increases with the increase of random noise standard deviation, causes
Increased using the recognition result error that LS methods are obtained；And RLS methods can effectively eliminate the impact of big residual error data, each
Under noise intensity, high-precision recognition result can be obtained.
Can show that by the above results, when the noise in metric data is larger, the recognition result of LS methods will deviate from reality
Value, and RLS methods still keep higher accuracy of identification, therefore, transmission line one-phase earth fault ginseng provided in an embodiment of the present invention
Number recognition methodss have preferable noise resisting ability.
1.2 anti-rough error aptitude tests
In this test, three kinds of situations containing bad data are designed, RLS methods and LS is contrasted respectively according to three kinds of situations
The anti-rough error ability of method, and recording parameterses recognition result respectively, the parameter recognition result refer to table 3.Three kinds of situations of design
Respectively：There is 10% deviation in the continuous several a phase current magnitudes data in situation 1- side；The continuous several a phases in situation 2- side
There is 1 ° of deviation in current phase angle data；Situation 3- data occur packet loss in upload procedure, the continuous several three-phase voltages in side,
Current data is 0.
Table 3：The recognition result of the anti-rough error ability of RLS methods and LS methods
Can learn in no matter measuring, there is the bad data of which kind of situation from table 3, RLS methods can be eliminated slightly
Poor impact, obtains accurate recognition result；And LS methods are in some cases, the recognition result of each parameter is even tight
Deviate actual value again.
The above results show, under three kinds of situations, RLS can provide relatively accurate recognition result, support with very strong
Imperial bad ability, and the recognition result obtained by LS has different degrees of deviation with actual value, does not possess and resists bad
Ability.Therefore, the impact of various bad datas can be more effectively resisted using the method for least square based on estimation of uncertainty,
Engineering application value is higher.
2nd, survey online data test
In actual measurement online data test, the data for being adopted are the mono- back transmission lines of electrical network 220kV, wherein, parameter
Off-line measurement value：Zero sequence resistance R0=12.56 Ω, zero-sequence reactance X0=27.88 Ω, zero sequence susceptance B over the ground0=7.86544 ×
10-5S.In actual measurement online data test, the phasor before completing to chopper reclosing after a phases occur singlephase earth fault is recorded
Measurement apparatus bilateral phasor measuring set open-phase operation steady state data, and LS methods and RLS methods is respectively adopted carries out line parameter circuit value
Identification, the parameter recognition result are reported in Table 4 below, while recording the biphase voltage magnitude of b, c, wherein, sampling period in accompanying drawing 3
For 10ms, selected data length is 500ms.
Table 4：The parameter recognition result of RLS methods and LS methods to actual measurement online data
Can learn from table 4 and accompanying drawing 3, relative to LS methods, the identification error of RLS methods is lower, therefore the present invention is implemented
The transmission line one-phase earth fault parameter identification method that example is provided equally has accurate identity to online data, and recognizes
Precision is higher.
Data test and the recognition result of actual measurement online data test are emulated by above-mentioned BPA to show, the embodiment of the present invention
The transmission line one-phase earth fault parameter identification method of offer is improved to LS by using estimation of uncertainty and obtains new
Estimation of uncertainty, form the method for least square of estimation of uncertainty, the method for least square of the estimation of uncertainty can disappear
Except the error in measurement even impact brought by gross error, and then increase reliability and the accuracy of parameter recognition result.This
The transmission line one-phase earth fault parameter identification method of bright offer can be accurately to breaking down circuit position, thus
Have a good application prospect.
Those skilled in the art will readily occur to its of the present invention after considering description and putting into practice disclosure of the invention here
Its embodiment.The application is intended to any modification of the present invention, purposes or adaptations, these modifications, purposes or
Person's adaptations follow the general principle of the present invention and including the undocumented common knowledge in the art of the present 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 precision architecture for being described above and being shown in the drawings is the invention is not limited in, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present invention is limited only by appended claim.
Claims (7)
1. a kind of transmission line one-phase earth fault parameter identification method, it is characterised in that the recognition methodss include：
The initial weight P of each phasor measuring set measurement point in setting transmission line of electricityi (0)；
The initial value of the phasor measuring set measured value is calculated according to method of least square
According to the initial valueCalculate residual error ν of the phasor measuring set measured value(0)；
According to residual error ν(0)With the weighted value of equal value of phasor measuring set measurement point described in uncertainty calculation
According to the weighted value of equal valueIterate to calculate the new parameter end value of the phasor measuring set measured valueWith it is new
Residual error ν(k), wherein,
JudgeWhether ε, ε=0.01 are less than or equal to；
If describedLess than or equal to ε, then recognition result is exported
If describedMore than ε, then the weighted value of equal value of the phasor measuring set measurement point is recalculatedUntil
It is describedLess than and be equal to ε.
2. transmission line one-phase earth fault parameter identification method according to claim 1, it is characterised in that the setting
The initial weight P of each phasor measuring set measurement point in transmission line of electricityi (0)Include before：
The residual voltage and electric current phasor of each phasor measuring set measurement point during acquisition singlephase earth fault；
Phasor β, line parameter circuit value phasor α to be identified and matrix A are formed by the residual voltage and the electric current phasor.
3. transmission line one-phase earth fault parameter identification method according to claim 1, it is characterised in that the setting
The initial weight P of each phasor measuring set measurement point in transmission line of electricityi (0)Including：
Obtain quantity N of the phasor measuring set measurement point；
The initial weight P of each phasor measuring set measurement point is set according to quantity Ni (0)For 1/N.
4. transmission line one-phase earth fault parameter identification method according to claim 1, it is characterised in that the basis
Residual error ν(0)With the weighted value of equal value of phasor measuring set measurement point described in uncertainty calculationIncluding：
According to residual error ν(0)Uncertain angle value ρ (ν is calculated with control coefrficient ci)；
Judge the uncertain angle value ρ (νi) whether it is more than 0.5；
If the uncertain angle value ρ (νi) be more than 0.5, then the phasor measuring set measured value is deleted；
If the uncertain angle value ρ (νi) be less than or equal to 0.5, then retain the phasor measuring set measured value；
Judge residual error ν(0)The size of absolute value and the control coefrficient c；
If residual error ν(0)Absolute value is less than or equal to the control coefrficient c, then weighted value of equal value
If residual error ν(0)Absolute value is more than the control coefrficient c, then weighted value of equal value
5. transmission line one-phase earth fault parameter identification method according to claim 1, it is characterised in that it is described again
Calculate the weighted value of equal value of the phasor measuring set measurement pointIncluding：
Judge residual error ν (k) absolute value and the control coefrficient c size；
If residual error ν(k)Absolute value is less than or equal to the control coefrficient c, then weighted value of equal value
If residual error ν(k)Absolute value is more than the control coefrficient c, then weighted value of equal value
6. the transmission line one-phase earth fault parameter identification method according to claim 4 or 5, it is characterised in that described
The span of control coefrficient c is 1.0-2.0.
7. transmission line one-phase earth fault parameter identification method according to claim 6, it is characterised in that the control
The value of coefficient c is 1.7.
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| CN201611040399.1A CN106526424B (en) | 2016-11-21 | 2016-11-21 | A kind of transmission line one-phase earth fault parameter identification method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109254225A (en) * | 2018-08-13 | 2019-01-22 | 中国南方电网有限责任公司超高压输电公司南宁监控中心 | A kind of detection of electric network fault and faulty line recognition methods |
| CN117148044A (en) * | 2023-09-19 | 2023-12-01 | 山东华科信息技术有限公司 | Power distribution network fault positioning method and device based on artificial intelligence |
| CN117890740A (en) * | 2024-03-14 | 2024-04-16 | 云南电投绿能科技有限公司 | Partial discharge positioning method, device and equipment for power station cable and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0436668A (en) * | 1990-05-31 | 1992-02-06 | Kansai Electric Power Co Inc:The | Fault point locating method for n-terminal parallel two-line transmission line |
| CN102163844A (en) * | 2011-03-14 | 2011-08-24 | 国网技术学院 | Method for detecting state of power system based on phasor measurement unit (PMU) |
| CN102175922A (en) * | 2011-01-24 | 2011-09-07 | 重庆大学 | Phasor measurement unit (PMU) measurement data-based power line parameter identification and estimation method |
| CN104297635A (en) * | 2014-10-14 | 2015-01-21 | 河南理工大学 | Fault line selection method for distribution network on basis of atom sparse decomposition and extreme learning machine |
| CN105588982A (en) * | 2014-10-27 | 2016-05-18 | 国家电网公司 | Measurement and calculation method of harmonic impedance of power system |
-
2016
- 2016-11-21 CN CN201611040399.1A patent/CN106526424B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0436668A (en) * | 1990-05-31 | 1992-02-06 | Kansai Electric Power Co Inc:The | Fault point locating method for n-terminal parallel two-line transmission line |
| CN102175922A (en) * | 2011-01-24 | 2011-09-07 | 重庆大学 | Phasor measurement unit (PMU) measurement data-based power line parameter identification and estimation method |
| CN102163844A (en) * | 2011-03-14 | 2011-08-24 | 国网技术学院 | Method for detecting state of power system based on phasor measurement unit (PMU) |
| CN104297635A (en) * | 2014-10-14 | 2015-01-21 | 河南理工大学 | Fault line selection method for distribution network on basis of atom sparse decomposition and extreme learning machine |
| CN105588982A (en) * | 2014-10-27 | 2016-05-18 | 国家电网公司 | Measurement and calculation method of harmonic impedance of power system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109254225A (en) * | 2018-08-13 | 2019-01-22 | 中国南方电网有限责任公司超高压输电公司南宁监控中心 | A kind of detection of electric network fault and faulty line recognition methods |
| CN117148044A (en) * | 2023-09-19 | 2023-12-01 | 山东华科信息技术有限公司 | Power distribution network fault positioning method and device based on artificial intelligence |
| CN117148044B (en) * | 2023-09-19 | 2024-04-02 | 山东华科信息技术有限公司 | Power distribution network fault positioning method and device based on artificial intelligence |
| CN117890740A (en) * | 2024-03-14 | 2024-04-16 | 云南电投绿能科技有限公司 | Partial discharge positioning method, device and equipment for power station cable and storage medium |
| CN117890740B (en) * | 2024-03-14 | 2024-06-21 | 云南电投绿能科技有限公司 | Partial discharge positioning method, device and equipment for power station cable and storage medium |
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