CN108957234A - Power distribution network earthing wire-selecting method and system based on volume measuring point and failure longitudinal direction feature - Google Patents
Power distribution network earthing wire-selecting method and system based on volume measuring point and failure longitudinal direction feature Download PDFInfo
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- CN108957234A CN108957234A CN201810839066.8A CN201810839066A CN108957234A CN 108957234 A CN108957234 A CN 108957234A CN 201810839066 A CN201810839066 A CN 201810839066A CN 108957234 A CN108957234 A CN 108957234A
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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
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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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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Abstract
The present invention discloses a kind of power distribution network earthing wire-selecting method and system based on volume measuring point and failure longitudinal direction feature, selection method proposed by the present invention carries out longitudinal comparison to the fault signature of different location along route, subordinating degree function is determined using fuzzy theory, the failure criterion of complicated consideration multiple terminals data is converted and is fused to the support of each line fault, and subordinating degree function parameter is determined by genetic algorithm, the failure degree of membership for calculating route determines that faulty line obtains route selection result.Dependence of the conventional method to each outlet failure zero-sequence current is overcome, data source has been expanded, improves data fault-tolerant, and being suitable for various faults Grounding includes arc suppression coil earthing system, improves the accuracy and applicability of low-current ground fault line selection.
Description
Technical field
The present invention relates to Distribution Network Failure route selection technical fields, in particular to longitudinal based on volume measuring point and failure
The power distribution network earthing wire-selecting method and system of feature.
Background technique
To solve the problems, such as single-phase grounded malfunction in grounded system of low current route selection, experts and scholars propose various faults route selection
Method.Existing earth fault line selection method has: fundamental wave colony amplitude comparison phase comparing method, first half-wave method, has quintuple harmonics method
Function component method, zero modular character method of transient state, Wavelet Transform, signal injection method etc..But due to neutral operation method and ground connection
The diversity of failure, the accuracy of these traditional single selection methods and adaptability are unable to satisfy requirement.For this purpose, scholars open
Begin to propose a variety of faulty line selection methods, the selection method such as based on rough set, is based on nerve at the selection method based on fuzzy Fusion
The selection method etc. of network.The advantages of faulty line selection method, is it by comprehensive various faults selection method to realize not Tongfang
The mutual supplement with each other's advantages of method improves route selection accuracy to a certain extent, but also line selection apparatus is adapted to different system operations
Mode and fault type, but since these faulty line selection methods only use the zero-sequence current of the zero sequence transformer acquisition of outlet
With failure residual voltage at bus as failure criterion, the error of any one mutual inductor can all reduce route selection accuracy, even
Route selection is caused to fail, therefore the accuracy of faulty line selection method cannot still fully meet route selection demand.
Distribution network automated to start to popularize with the development of electric utility, a large amount of Novel fault indicator is installed in
Along route, and keep in communication with distribution network automated main website.Pertinent literature proposes a kind of based on Novel fault indicator number
According to " zero-sequence current method of addition ", essence is by failure zero-sequence current and zero at Novel fault indicator each in judgement system
The phase angle difference of sequence voltage determines fault section, this method in arc suppression coil overcompensation system will failure, can only lead at this time
The method of Injection Signal is crossed to determine fault section, this certainly will increase construction cost, and the safety that may influence operation of power networks is steady
It is fixed.
By taking isolated neutral system as an example.Before failure occurs, system three-phase equilibrium, the sum of three-phase ground capacitance electric current is
0, therefore zero-sequence current is 0.When singlephase earth fault occurs, failure is mutually grounded, faulted phase voltage 0, due to isolated neutral,
Therefore before the phase voltage of non-faulting phase rises to failureTimes.To have three outlets for being mounted with Novel fault indicator
For 110kV/10kV transformer substation system, when singlephase earth fault occurs, there is a residual voltage source, zero sequence electricity in fault point
Stream flows to bus from fault point, and is divided to non-fault line, flows into the earth by the direct-to-ground capacitance of non-fault line, theoretical
On using singlephase earth fault when failure zero-sequence current feature can accurately select faulty line, but in practice, due to therefore
It is faint to hinder electric current, and is influenced by neutral grounding mode, fault resstance and electric arc, between fault message and faulty line
Relationship is difficult to accurately analyze and describe with existing electric system theory.
Summary of the invention
The present invention to solve the above-mentioned problems, proposes a kind of power distribution network based on volume measuring point and failure longitudinal direction feature and connects
Ground selection method overcomes dependence of the conventional method to each outlet failure zero-sequence current, has expanded data source, improves data appearance
Mistake.Method of the invention is suitable for arc suppression coil earthing system, is suitable for various faults Grounding, improves low current and connect
The accuracy and applicability of earth fault route selection.
To achieve the goals above, the present invention adopts the following technical scheme:
Power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature, includes the following steps:
Step 1: the terminal event for supporting the degree of the line failure for characterizing Novel fault indicator data is defined
Barrier estimates subordinating degree function Xf；
Step 2: definition is for characterizing the Novel fault indicator data of different location on route to this line failure
Degree of support terminal weight parameter function Yf；
Step 3: building is for characterizing all Novel fault indicator data on route to the branch of this line failure
The line fault subordinating degree function X for degree of holdingl；
Step 4: determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function Yf's
Optimized parameter makes line fault subordinating degree function XlThere is minimal error under optimized parameter；
Step 5: according to the optimized parameter of calculating, calculating the failure subordinating degree function value of different routes, according to the event of route
Barrier subordinating degree function value determines faulty line, obtains route selection result；
Step 6: judge the confidence level of route selection result.
Further, the step 1 defines terminal fault and estimates subordinating degree function XfSpecifically:
The failure zero-sequence current of Novel fault indicator acquisition more current first and outlet current transformer installation place
Failure zero-sequence current phase；
If phase is identical, defines terminal fault and estimate subordinating degree function XfAre as follows:
If phase is different, defines terminal fault and estimate subordinating degree function XfAre as follows:
Wherein:I0fFor the failure zero-sequence current virtual value of current Novel fault indicator acquisition, I0cIt is current
The zero-sequence current virtual value of the previous collection point of Novel fault indicator, k1~k4For terminal fault subordinating degree function parameter.
Further, in the step 2, for isolated neutral system and arc suppression coil undercompensation system, definition is eventually
Hold weight parameter function YfSpecifically:
Wherein: N is this route Novel fault indicator sum, and N_diff is this route and outlet failure zero-sequence current pole
The opposite Novel fault indicator number of property, k5Terminal weight parameter function parameter, diff be current Novel fault indicator at
The failure zero-sequence current Polarity comparision of outlet current transformer, if polarity is identical, diff=0, if polarity on the contrary, if diff
=1.
Further, in the step 2, for arc suppression coil overcompensation system, terminal weight parameter function Y is definedfSpecifically
Are as follows:
Wherein: N is this route Novel fault indicator sum, and N_amph is that this route downstream fault zero-sequence current width occurs
Value is greater than the number of upstream, and amph is the event of failure zero-sequence current amplitude and its previous collection point at current Novel fault indicator
Hinder zero-sequence current amplitude com parison, if the amplitude of current Novel fault indicator is greater than the failure zero-sequence current width of its previous collection point
It is worth, then amph=1, otherwise, amph=0, k6For terminal weight parameter function parameter.
Further, in the step 3, building is for characterizing all Novel fault indicator data on route to this
The line fault subordinating degree function X of the support of line failurelSpecifically:
The terminal fault of Novel fault indicators all on this route is estimated into subordinating degree function and terminal weight parameter function
Product summation obtain line fault subordinating degree function.
Further, in the step 4, determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith end
Hold weight parameter function YfOptimized parameter, make line fault subordinating degree function XlWith the method for minimal error under optimized parameter
Specifically:
Sample set is established, fault sample and trouble-free sample including known fault position；
Objective function is established using sample data, seeks the minimum value solution of objective function, the corresponding parameter of minimum value solution
For optimized parameter.
Further, the objective function are as follows:
Wherein: N is the number that sample set includes sample, and n is outlet number,For the faulty line of i-th group of sample
Line fault subordinating degree function value,For the line fault subordinating degree function value of the kth outlet of i-th group of sample.
Further, the step 6 judges the method for the confidence level of route selection result specifically:
Select the maximum route of line fault subordinating degree function value for faulty line after, select the line fault of route to be subordinate to
Degree functional value is closer to 1, the line fault subordinating degree function value closer -1 of the All other routes in addition to selecting route, then route selection knot
Fruit is more credible, and the confidence level of route selection result is higher.
Based on the wire selection system of the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature, packet
It includes:
Terminal fault estimates subordinating degree function XfBuilding module.
Terminal weight parameter function YfConstruct module.
Line fault subordinating degree function XlConstruct module.
Determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function YfOptimized parameter
Computing module.
Calculate the module of the failure subordinating degree function value of different routes；Event is determined according to the failure subordinating degree function value of route
Hinder the module of route.
Judge the module of the confidence level of route selection result.
The terminal fault estimates subordinating degree function XfBuilding module, terminal weight parameter function YfConstruct module respectively with
Line fault subordinating degree function XlConstruct module connection；The line fault subordinating degree function XlIt constructs module and is calculated using heredity
Method determines that terminal fault estimates subordinating degree function XfWith terminal weight parameter function YfOptimized parameter computing module, calculate not
Module with the failure subordinating degree function value of route, the failure subordinating degree function value according to route determine faulty line module,
Judge that the module of the confidence level of route selection result is sequentially connected.
Further, described to determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter letter
Number YfThe computing module of optimized parameter include:
Sample collection module, fault sample and trouble-free sample including acquiring known fault position.
Sample database, for storing sample data.
The module of objective function is established according to sample data.
Seek the computing module of the minimum value solution of objective function.
The sample collection module is connect with sample database, the sample database with target established according to sample data
The module of function, the minimum value solution for seeking objective function computing module be sequentially connected.
Compared with prior art, the invention has the benefit that
(1) present invention extends data source used in route selection, and conventional method depends on the failure zero-sequence current of line outlet,
And selection method proposed in this paper introduces the fault recorder data along route, improves data fault-tolerant using data redundancy
Property, improve the correctness of route selection decision.
(2) selection method proposed by the present invention can be to the ratio of the fault signature progress longitudinal direction of different location along route
Compared with conventional method failure line selection accuracy can only be effectively increased compared with lateral comparison line outlet data.
(3) present invention determines subordinating degree function using fuzzy theory, by the failure criterion of complicated consideration multiple terminals data
The support for converting and being fused to each line fault simplifies deterministic process and more intuitively shows route selection result.
(4) present invention determines subordinating degree function parameter using genetic algorithm, traditional fuzzy theory generally by experience come
Determine that subordinating degree function, this subordinating degree function can play certain decision-making results, but be not in general it is optimal, make
The optimized parameter of subordinating degree function is determined with genetic algorithm, then can greatly improve the accuracy of the result of decision.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation do not constitute the restriction to the application for explaining the application.
Selection method flow chart Fig. 1 of the invention；
Fig. 2 is failure zero-sequence current distribution map of the invention；
Fig. 3 is zero-sequence current relational graph of the present invention；
Fig. 4 (a), (b) are that terminal fault estimates subordinating degree function.
Specific embodiment:
The invention will be further described with embodiment with reference to the accompanying drawing.
It is noted that described further below be all exemplary, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
As shown in Figure 2 when a failure occurs it, zero-sequence current presses the advance of arrow direction, and Novel fault indicator is usually pacified
Along the route of feeder line, according to different situations such as line length, branches, the installation number different from of different routes；With
There is communication contact in communication main website, and has GPS to realize time synchronization.When feeling that singlephase earth fault occurs in distribution network systems,
Main website reaches main website for dividing by the recording function of all Novel fault indicators started in the system, and by the data of generation
Analysis；The standard compliant COMTRADE file format of Novel fault indicator data file, is referred to by parsing available this to it
Show three-phase voltage, current waveform that device installation site detects, waveform sampling frequency is 4096Hz, sampling time 240ms, packet
Wave shape content containing 8 periods after 4 periods, failure before failure.Therefore, the failure wave-recording file that Novel fault indicator generates can be with
The fault condition that response line curb line different location is experienced, and there is enough sample frequencys and recording time, it contains
Fault message abundant.
Between each Novel fault indicator (FI) or Novel fault indicator and zero sequence CT (outlet zero-sequence current) it
Between distribution capacity all failure zero-sequence current is shunted, therefore Novel fault indicator and outlet zero sequence CT record event
Barrier zero-sequence current has differences: zero-sequence current is electric current measured by Novel fault indicator at FI as shown in Figure 3, outlet
Zero-sequence current is the electric current of route head end zero sequence CT.For sound circuit as shown in Fig. 3 (a), each novel fault on feeder line refers to
Show that the same phase of zero-sequence current sine wave at device, polarity having the same, amplitude are less than outlet, and the novel event remoter apart from bus
The zero-sequence current amplitude for hindering indicator is smaller；For faulty line, the novel fault that failure upstream is in as shown in Fig. 3 (b) refers to
Show that failure zero-sequence current amplitude is greater than outlet at device, the same phase of sine wave, polarity is identical, is in fault down stream as shown in Fig. 3 (c)
Novel fault indicator at zero-sequence current and outlet sine wave reverse phase, polarity is opposite.
Following embodiments are a kind of typical embodiment of the application, as shown in Figure 1
Step 1: the terminal event for supporting the degree of the line failure for characterizing Novel fault indicator data is defined
Barrier estimates subordinating degree function Xf；
Step 2: definition is for characterizing the Novel fault indicator data of different location on route to this line failure
Degree of support terminal weight parameter function Yf；
Step 3: building is for characterizing all Novel fault indicator data on route to the branch of this line failure
The line fault subordinating degree function X for degree of holdingl；
Step 4: to improve route selection accuracy and ensuring that this method to the applicability of different neutral operation methods, uses
Genetic algorithm determines that terminal fault estimates subordinating degree function XfWith terminal weight parameter function YfOptimized parameter is subordinate to line fault
Category degree function XlThere is minimal error under optimized parameter；
Step 5: according to the optimized parameter of calculating, calculating the failure subordinating degree function value of different routes, according to the event of route
Barrier subordinating degree function value determines faulty line, obtains route selection result；
Step 6: judge the confidence level of route selection result.
In the step 1, terminal fault estimates the number that subordinating degree function corresponds to single Novel fault indicator acquisition
According to the function of foundation.Subordinating degree function X is estimated by defining terminal faultfIt is supported to characterize the data at Novel fault indicator
The degree of the line failure.For each Novel fault indicator, Novel fault indicator installation place more current first
Failure zero-sequence current and the installation place outlet zero sequence CT (CT be current transformer referred to as) failure zero-sequence current phase.If
Phase is identical, then compares two zero-sequence current amplitudes, if amplitude is greater than outlet amplitude at Novel fault indicator, illustrates this
A possibility that route may be faulty line, and difference is bigger, this line fault is higher；If amplitude at Novel fault indicator
Less than outlet amplitude, then illustrate that this route may not be faulty line, and difference is bigger, the trouble-free possibility of this route is got over
It is high.Therefore, construction terminal fault estimates subordinating degree function such as formula (1) and such as Fig. 4 (a) is shown.
If phase is different, illustrate that a possibility that this route is faulty line is larger, compare two zero-sequence current amplitudes at this time,
It is in general, small more at failure zero-sequence current Amplitude Ration outlet zero sequence CT (current transformer) at Novel fault indicator,
If the two difference very little, it is likely that judged phase angle by accident.Therefore, construction terminal fault estimate subordinating degree function such as formula (2) with such as
Shown in Fig. 4 (b).
Wherein:I0fFor failure zero-sequence current virtual value, I at current Novel fault indicator0cIt is current novel
The failure zero-sequence current virtual value of the previous collection point of fault detector, previous collection point refers to current Novel fault indicator
The data collection point nearest with current Novel fault indicator being directed toward on generatrix direction, I0cIt can be previous novel fault instruction
Failure zero-sequence current virtual value at device or outlet zero sequence CT.k1~k4For terminal fault subordinating degree function parameter, meaning is to be subordinate to
Spend slope of the function in specific sections.
In the step 2, by defining terminal weight coefficient function YfTo characterize the novel fault of different location on this route
Degree of support of the indicator data to this line failure specifically:
It is former with outlet at Novel fault indicator for isolated neutral system and arc suppression coil undercompensation system
Hinder zero-sequence current polarity it is opposite when, a possibility that this line failure, is larger, a possibility that determining this line failure
When, the data that need to be acquired to reversed polarity Novel fault indicator are more focused on, it is contemplated that the value of subordinating degree function should be fallen in
In [- 1,1] section, terminal weight coefficient function Y is definedfAs shown in formula (3):
Wherein: N is this route Novel fault indicator sum, and N_diff is this route and outlet failure zero-sequence current pole
Property opposite Novel fault indicator number, diff is at failure zero-sequence current and outlet CT at current Novel fault indicator
Failure zero-sequence current Polarity comparision as a result, if polarity is identical, diff=0, if polarity on the contrary, if diff=1.k5For terminal
Weight coefficient function parameter, meaning is for reversed Novel fault indicator data compared to positive Novel fault indicator data by weight
Visual range degree multiple.
For arc suppression coil overcompensation system, either faulty line or non-fault line, at Novel fault indicator
All identical as outlet failure zero-sequence current polarity, the terminal weight coefficient function that above-mentioned formula 3 defines is not suitable for arc suppression coil mistake
Compensation system.Since arc suppression coil overcompensation system non-fault line strictly meets failure zero-sequence current amplitude downstream less than upstream
Relationship, if occur downstream Novel fault indicator failure zero-sequence current amplitude be greater than upstream, where line failure
A possibility that it is larger, which need to more be focused on, it is contemplated that the value of subordinating degree function should be fallen in
In [- 1,1] section, terminal weight coefficient function Y is definedfAs shown in formula (4):
Wherein: N is this route Novel fault indicator sum, and N_amph is that this route downstream fault zero-sequence current width occurs
Value is greater than the number of upstream, and amph is the event of failure zero-sequence current amplitude and its previous collection point at current Novel fault indicator
Barrier zero-sequence current amplitude com parison as a result, previous collection point refer to current Novel fault indicator be directed toward on generatrix direction with it is current
The nearest data collection point of Novel fault indicator can be at previous Novel fault indicator or outlet zero sequence CT.If current
The amplitude of Novel fault indicator is greater than the failure zero-sequence current amplitude of its previous collection point, then amph=1, otherwise, amph=
0。k6For terminal weight coefficient function parameter, meaning is that amplitude is less than greater than the Novel fault indicator data of upstream compared to amplitude
The Novel fault indicator data of upstream by attention degree multiple, the Novel fault indicator of the upstream be it is current novel therefore
Hinder indicator and is directed toward the Novel fault indicator of bus leading-out terminal.
In the step 3, line fault subordinating degree function X is constructedl: for characterizing all novel faults on certain route
Support of the indicator data to this line failure.
The terminal fault of each Novel fault indicator estimates subordinating degree function X on defining routefWith terminal weight coefficient
Function YfAfterwards, the terminal fault of Novel fault indicators all on this route is estimated into subordinating degree function and terminal weight parameter function
Product summation can be obtained the line fault subordinating degree function of this route, as shown in formula (5):
Wherein: N is this route Novel fault indicator sum, Xfi、YfiNumber at respectively i-th Novel fault indicator
Degree of membership and terminal weight coefficient are estimated according to the terminal fault being calculated.
In the step 4, to improve route selection accuracy and ensuring that this method is applicable in different neutral operation methods
Property, determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight coefficient function YfOptimal coefficient, at this
Under coefficient, line fault subordinating degree function has minimal error:
The selection of subordinating degree function directly determines the accuracy of the last result of decision.It is general in traditional fuzzy theory
Determine that subordinating degree function, this subordinating degree function can play certain decision-making results by experience, but in general not
It is optimal, if it is possible to determine the optimized parameter of subordinating degree function, then can greatly improve the accuracy of the result of decision.
The present invention determines the optimized parameter k of subordinating degree function using genetic algorithm (GA)1~k6.For different neutrality
The point method of operation, k1~k6The obvious different from of optimal value.Its optimal value is not determined, if choosing under the current method of operation
Dry historical failure is as sample set, these fault sample known fault positions.Mesh is established using sample fault data
Scalar functions, to obtain k1~k6Optimal solution.
Genetic algorithm acquires the optimal solution of objective function by hereditary variation biological in natural imitation.Optimal degree of membership
The selection principle of function parameter is: under parameter current value, the line fault subordinating degree function of faulty line is non-closest to 1
The line fault subordinating degree function closest -1 of faulty line.Target letter is sought in order to determine to be transformed into the problem of optimal parameter
The problem of number minimum value solution, shown in objective function such as formula (6):
Wherein: N is the number that sample set includes sample, and n is outlet numberFor the line of the faulty line of i-th group of sample
Road failure subordinating degree function value,For the line fault subordinating degree function value of the kth outlet of i-th group of sample.
According to the optimized parameter of calculating, the failure subordinating degree function value of different routes is calculated, is subordinate to according to the failure of route
Degree functional value determines faulty line, obtains route selection result；And the confidence level of judging result is evaluated:
Line fault subordinating degree function is by estimating subordinating degree function to terminal fault and the product of terminal weight coefficient function is asked
With obtain, essence is the score that the failure fuzzy set theory of different Novel fault indicators is summed, and value range exists
[-1,1].Therefore, the line fault subordinating degree function of more each route, wherein numerical value closest to 1 be faulty line.
Ideally, the line fault subordinating degree function obtained by fault-line selecting method proposed in this paper is only faulty
Route line fault degree of membership is positive number, and close to 1, the line fault degree of membership of All other routes is negative, and approaches -1.Due to
Arc suppression coil compensation failure capacity current, failure zero-sequence current be smaller, Novel fault indicator and zero sequence transformer error etc. are former
The comprehensive function of cause, direction, magnitude relation may be judged by accident, although method proposed by the present invention has fault-tolerance, still
The line fault degree of membership for being so likely to occur two or Above Transmission Lines is that the line fault degree of membership of positive number or all routes is all
The case where negative, it is therefore necessary to which route selection result is evaluated.
In order to make an appraisal to route selection result, reliability function T is defined to characterize the confidence level of current route selection result.To choosing
For knot fruit, X is selectediAfter maximum route is faulty line, select the line fault degree of membership of route closer to 1, other
The line fault degree of membership of route closer -1, then route selection result is more credible, therefore defines shown in reliability function such as formula (7),
Wherein: XlmaxFor the maximum value of the line fault degree of membership of all routes, XliIt is subordinate to for the line fault on i-th line road
Category degree, NlFor route number.For the value of reliability function T between [0,1], the value of T then shows that route selection result more can closer to 1
Letter.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (10)
1. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature, which comprises the steps of:
Step 1: it defines terminal fault and estimates subordinating degree function Xf, support the route to send out for characterizing Novel fault indicator data
The degree of raw failure；
Step 2: terminal weight parameter function Y is definedf, for characterizing the Novel fault indicator data of different location on route to this
The degree of support of line failure；
Step 3: building line fault subordinating degree function Xl, for characterizing all Novel fault indicator data on route to this
The support of line failure；
Step 4: determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function YfIt is optimal
Parameter makes line fault subordinating degree function XlThere is minimal error under optimized parameter；
Step 5: according to the optimized parameter of calculating, calculating the failure subordinating degree function value of different routes, is subordinate to according to the failure of route
Category degree functional value determines faulty line, obtains route selection result；
Step 6: judge the confidence level of route selection result.
2. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
Be: the step 1 defines terminal fault and estimates subordinating degree function XfSpecifically:
The failure zero-sequence current of Novel fault indicator acquisition more current first and the event of outlet current transformer installation place
Hinder the phase of zero-sequence current；
If phase is identical, defines terminal fault and estimate subordinating degree function XfAre as follows:
If phase is different, defines terminal fault and estimate subordinating degree function XfAre as follows:
Wherein:I0fFor the failure zero-sequence current virtual value of current Novel fault indicator acquisition, I0cIt is current novel
The zero-sequence current virtual value of the previous collection point of fault detector, k1~k4For terminal fault subordinating degree function parameter.
3. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
It is: in the step 2, for isolated neutral system and arc suppression coil undercompensation system, defines terminal weight parameter function
YfSpecifically:
Wherein: N is this route Novel fault indicator sum, and N_diff is this route and outlet failure zero-sequence current polarity phase
Anti- Novel fault indicator number, k5Terminal weight parameter function parameter, diff be current Novel fault indicator at and outlet
Locate current transformer failure zero-sequence current Polarity comparision, if polarity is identical, diff=0, if polarity on the contrary, if diff=1.
4. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
It is: in the step 2, for arc suppression coil overcompensation system, defines terminal weight parameter function YfSpecifically:
Wherein: N is this route Novel fault indicator sum, and N_amph is that downstream fault zero-sequence current amplitude occur big for this route
Number in upstream, amph are the failure zero of failure zero-sequence current amplitude and its previous collection point at current Novel fault indicator
Sequence current amplitude compares, if the amplitude of current Novel fault indicator is greater than the failure zero-sequence current amplitude of its previous collection point,
Then amph=1, otherwise, amph=0, k6For terminal weight parameter function parameter.
5. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
It is: in the step 3, constructs for characterizing all Novel fault indicator data on route to this line failure
Support line fault subordinating degree function XlSpecifically:
The terminal fault of Novel fault indicators all on this route is estimated to the product of subordinating degree function Yu terminal weight parameter function
Summation obtains line fault subordinating degree function.
6. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
It is: in the step 4, determines that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function Yf
Optimized parameter, make line fault subordinating degree function XlWith the method for minimal error under optimized parameter specifically:
Sample set is established, fault sample and trouble-free sample including known fault position；
Objective function is established using sample data, seeks the minimum value solution of objective function, the corresponding parameter of minimum value solution is most
Excellent parameter.
7. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as claimed in claim 6, feature
It is: the objective function are as follows:
Wherein: N is the number that sample set includes sample, and n is outlet number,For the route event of the faulty line of i-th group of sample
Hinder subordinating degree function value,For the line fault subordinating degree function value of the kth outlet of i-th group of sample.
8. the power distribution network earthing wire-selecting method based on volume measuring point and failure longitudinal direction feature as described in claim 1, feature
It is:
The method that the step 6 judges the confidence level of route selection result specifically:
Select the maximum route of line fault subordinating degree function value for faulty line after, select the line fault degree of membership letter of route
Numerical value is closer to 1, and the line fault subordinating degree function value closer -1 of the All other routes in addition to selecting route, then route selection result is got over
Credible, the confidence level of route selection result is higher.
9. based on the described in any item power distribution network earthing wire-selectings based on volume measuring point and failure longitudinal direction feature of such as claim 1-8
The wire selection system of method characterized by comprising
Terminal fault estimates subordinating degree function XfBuilding module；
Terminal weight parameter function YfConstruct module；
Line fault subordinating degree function XlConstruct module；
Determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function YfOptimized parameter meter
Calculate module；
Calculate the module of the failure subordinating degree function value of different routes；Fault wire is determined according to the failure subordinating degree function value of route
The module on road；
Judge the module of the confidence level of route selection result；
The terminal fault estimates subordinating degree function XfBuilding module, terminal weight parameter function YfConstruct module respectively with route
Failure subordinating degree function XlConstruct module connection；The line fault subordinating degree function XlConstruct module with using genetic algorithm come
Determine that terminal fault estimates subordinating degree function XfWith terminal weight parameter function YfOptimized parameter computing module, calculate it is not collinear
The module of the failure subordinating degree function value on road, the module that faulty line is determined according to the failure subordinating degree function value of route, judgement
The module of the confidence level of route selection result is sequentially connected.
10. the wire selection system being grounded as claimed in claim 9 based on volume measuring point and the power distribution network of failure longitudinal direction feature, special
Sign is:
It is described to determine that terminal fault estimates subordinating degree function X using genetic algorithmfWith terminal weight parameter function YfOptimized parameter
Computing module include:
Sample collection module, fault sample and trouble-free sample including acquiring known fault position；
Sample database, for storing sample data；
The module of objective function is established according to sample data；
Seek the computing module of the minimum value solution of objective function.
The sample collection module is connect with sample database, the sample database with objective function established according to sample data
Module, the minimum value solution for seeking objective function computing module be sequentially connected.
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Application publication date: 20181207 |