CN109655713A - A kind of method for locating single-phase ground fault and system - Google Patents
A kind of method for locating single-phase ground fault and system Download PDFInfo
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- CN109655713A CN109655713A CN201910048645.5A CN201910048645A CN109655713A CN 109655713 A CN109655713 A CN 109655713A CN 201910048645 A CN201910048645 A CN 201910048645A CN 109655713 A CN109655713 A CN 109655713A
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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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- 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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
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Abstract
The invention discloses a kind of method for locating single-phase ground fault and system, method includes collecting each detection device fault data collected；After generation small current grounding fault when fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level and meets particular requirement, then using each fault detection means carry out singlephase earth fault section judgement obtain the fault section recognition result of each fault detection means, if recognition result unanimously if determine final fault section；If the fault message of each fault detection means is imperfect or failure studies and judges that result confidence level is unsatisfactory for particular requirement or fault section recognition result is inconsistent, final fault section is determined using correlation coefficient process.The present invention maximumlly utilizes the fault test set in distribution, realizes the small current grounding fault location technology based on multi-source information, solves the existing disadvantage low based on the fault location technology precision of single source information；Data prediction ensure that the accuracy and reliability of fault location.
Description
Technical field
The present invention relates to a kind of singlephase earth fault location technologies, and in particular to a kind of single-phase earth fault locating system and
Method belongs to field of relay protection in power technical field.
Background technique
One important feature of smart grid is to can automatically detect failure and carry out corrective operation, is farthest subtracted
Few scope of power outage and power off time, and then reduce the loss of outage of user.According to statistics, it is mostly distribution that electric system, which has a power failure,
Caused by net reason, singlephase earth fault account for distribution network failure sum 80% or so, fault detection (route selection, positioning and every
From etc.) to power supply reliability is improved, promotion smart grid is built to be had a very important significance technology.
China's power distribution network generallys use earth-free or through grounding through arc mode, and single-phase earthing shows as low current and connects
Earth fault form.Currently, small current grounding fault detection technique still generallys use the artificial mode for drawing road, i.e., it is time-consuming and laborious, again
Cause unnecessary loss of outage.It according to statistics, 20% or so is that people is switched due to caused by small current neutral grounding in Distribution Network Failure
Caused by the road Gong La, large effect is caused to the reliability of distribution.Simultaneously as the raising of inspection lean degree is transported in distribution,
It needs quickly to position fault section, more severe is the extensive access with distributed generation resource in distribution, for
The requirement of the Efficient fault positioning of distribution is higher and higher.Small current grounding fault location technology is faint by fault-signal, live fortune
The factors such as row environment is complicated, fault test set reliability is low, failure cause is various influence, and fault detection accuracy rate is lower, because
There is an urgent need for solutions for this small current grounding fault location technology problem.
Summary of the invention
The technical problem to be solved by the present invention is to small current grounding fault location technologies in the prior art by single signal
Source information loses, the faint influence of information source, and fault detection accuracy rate and the low problem of reliability provide a kind of small electricity of high-precision
Flow earth fault positioning technology.
In order to solve the above technical problems, the technical scheme adopted by the invention is that:
On the one hand, the present invention proposes a kind of method for locating single-phase ground fault, comprising:
Collect each detection device fault data collected；
Fault data is pre-processed, the fault data includes residual voltage, when any one detection device measures
Residual voltage be more than predetermined threshold value when, it is determined that occur small current grounding fault；
It determines and calculates each detection device fault message integrality after small current grounding fault occurs, and according to information integrity
Result confidence level ri assignment is studied and judged to failure；
When fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level and meets particular requirement
When, then the fault section of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Recognition result；
Judge whether the fault section recognition result of each fault detection means is consistent, each fault detection dress is determined if consistent
The fault section recognition result set is final fault section；
If the fault message of each fault detection means is imperfect or failure study and judge result confidence level be unsatisfactory for particular requirement or
Fault section recognition result is inconsistent, then determines final fault section using correlation coefficient process.
Preferably, the fault data further includes three-phase voltage information, three-phase current information and zero-sequence current information.
In above technical scheme, the detection device includes power distribution automation management system, power network schedule automation system
System, power information acquisition system, fault detector and low-current ground fault line selection device.
Further, as follows to the pretreated method of fault data progress:
Using voltage and current under normal circumstances to PT (Phase voltage Transformers, voltage transformer)
It is corrected with the polarity of CT (Current Transformer, current transformer), it is determined whether there are the feelings of error-polarity connection
Condition；
The voltage and current information of analysis comparison low-current ground fault line selection device and fault detector acquisition, determines event
Moment occurs for barrier；
The Sudden Changing Rate of low-current ground fault line selection device and fault detector voltage and current collected is calculated separately,
When the Sudden Changing Rate of 3 points of continued presence reaches adjusting threshold, then determine that first Sudden Changing Rate is more than that adjusting threshold is corresponding and puts
Previous point is failure initial time；
After determining that the moment occurs for failure, fault data is handled using FFT transform, calculates steady-state current amplitude and phase
Position；
Interpolation processing is carried out to the transient zero-sequence current of low-current ground fault line selection device or fault detector, guarantees frequency
Rate is identical.
In above technical scheme, each detection device fault message integrality calculation formula is as follows:
For the false voltage and current information total quantity of the acquisition of each detection device；For each detection device
Collectable voltage and current information total quantity.
As fault message integrality λiThe failure letter of fault detection means is determined when adjusting threshold more than or equal to integrality
Breath is complete；Otherwise fault message integrality λiThe fault message of fault detection means is determined when adjusting threshold less than integrality
Be it is incomplete, the value of integrality adjusting threshold is 0.7.
In above technical scheme, determine that the method for fault section is as follows using correlation coefficient process:
If the transient zero-sequence current waveform similarity factor that the detection device of section both ends test point measures is not up to similar
Threshold value is then non-faulting section；
When the transient zero-sequence current waveform similarity factor that the detection device of both ends test point measures reaches similar threshold value, then
It is determined as fault section；
The expression formula of similarity factor is as follows:
Wherein ρi(i+1)For i-th set and the similarity factor of i+1 set of fault detection device transient zero-sequence current waveform；i0i
(xj) be the i-th set of fault detection device transient zero-sequence current, i0(i+1)(xj) be i+1 set of fault detection device transient zero-sequence
Electric current.
On the other hand, the present invention provides method for locating single-phase ground fault systems, comprising: big data analysis platform and
Several fault detection means；
Several fault detection means are for acquiring fault data；
The big data analysis platform, for collecting each detection device fault data collected；
The big data analysis platform, is also used to pre-process fault data, and the fault data includes zero sequence electricity
Pressure, when the residual voltage that any one detection device measures is more than predetermined threshold value, it is determined that small current grounding fault occurs；
Determine that big data analysis platform calculates each detection device fault message integrality after small current grounding fault occurs, and according to information
Integrality studies and judges result confidence level ri assignment to failure；
When each detection device fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level satisfaction
When particular requirement, then each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Fault section recognition result；
Judge whether the fault section recognition result of each fault detection means is consistent, each fault detection dress is determined if consistent
The fault section recognition result set is final fault section；
If the fault message of each fault detection means is imperfect or failure study and judge result confidence level be unsatisfactory for particular requirement or
Fault section recognition result is inconsistent, then determines final fault section using correlation coefficient process.
Advantageous effects of the invention:
1, the present invention realizes the small current neutral grounding based on multi-source information maximumlly using the fault test set in distribution
Fault location technology solves the existing disadvantage low based on the fault location technology precision of single source information；
2, the invention proposes the small current grounding fault location technologies based on multi-source information, can solve existing artificial drawing road
It is long with artificial line walking power off time, the big disadvantage of maintenance.
3, since live service condition is severe, there can be a sensor error-polarity connection, the letter such as fault detector does not start, goes offline
Cease incomplete situation；In order to guarantee that the correctness of fault section differentiation improves the accuracy and reliability of the method for the present invention, this
It invents the judgement using data prediction step, including polarity correction and data integrity to voltage and current and passes through
Interpolation processing realizes that the frequency of each detection device is consistent.
Detailed description of the invention
Fig. 1 is the method flow diagram of the specific embodiment of the invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
After small current grounding fault occurs, there are following characteristics:
1) faulted phase voltage reduces, and non-faulting phase voltage increases, neutral point voltage offset；
2) faulty line transient zero-sequence current amplitude is greater than non-fault line, and polarity is opposite；
3) fault section both ends transient zero-sequence current Amplitude Ration is larger, and polarity is opposite and transient-wave is dissimilar；Non-faulting
Section both ends transient zero-sequence current amplitude is close, and polarity is identical and waveform is similar；
4) for isolated neutral system, faulty line stable status zero-sequence current is greater than non-fault line, and polarity is opposite；
5) for isolated neutral system, fault section both ends steady-state current amplitude is bigger, and polarity is on the contrary, non-event
It is close to hinder section both ends current amplitude, and polarity is identical；
6) for neutral by arc extinction coil grounding system, there is no obvious fault spies for faulty line stable status zero-sequence current
Sign；
7) for neutral by arc extinction coil grounding system, obvious fault is not present in fault section both ends stable status zero-sequence current
Feature.
The detection platform and system developed in the prior art have D5000 system, PMS2.0 system, distribution automation
System, power information acquisition system, fault statistics reporting system and meteorological system data fusion, realize from substation's outlet switch
The accounts such as tripping, switch operation data, switchgear account and distribution line, distribution transforming and distribution transforming operation data, meteorological data are complete
Process perforation, constructs electric network reconstruction Tripping data library, realizes the splicing of equipment account, operation data and meteorological data, realizes
Multi-field, multi-service scene data cleansing with merge.
Small current grounding fault location technology is faint by fault-signal, live running environment is complicated, fault test set
The factors such as reliability is low, failure cause is various influence, and fault detection accuracy rate is lower, and fault detection is one global always
Problem.
Embodiment 1: Fig. 1 is the method flow diagram of the specific embodiment of the invention.It is fixed that Fig. 1 shows a kind of singlephase earth fault
Position method, comprising:
(1) each detection device fault data collected is collected；
(2) fault data is pre-processed, the fault data includes residual voltage, when any one detection device is surveyed
When the residual voltage obtained is more than predetermined threshold value, it is determined that small current grounding fault occurs；
(3) it determines and calculates each detection device fault message integrality after small current grounding fault occurs, and is complete according to information
Whole property studies and judges result confidence level ri assignment to failure；
(4) when fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level and meets specific want
When asking, then the faulty section of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Section recognition result；
(5) judge whether the fault section recognition result of each fault detection means is consistent, each failure inspection is determined if consistent
The fault section recognition result for surveying device is final fault section；
(6) if the fault message of each fault detection means is imperfect or failure studies and judges result confidence level and is unsatisfactory for particular requirement
Or fault section recognition result is inconsistent, then carries out correlation (i.e. correlation coefficient process) operation using information collected, finally
Determine fault section.Preferably, further include judging failure if it is transient fault after judging fault section, then record event
Barrier；If it is permanent fault, then failure is alarmed and recorded.
High-precision small current grounding fault location technology of the present embodiment based on Multi-source Information Fusion, overcomes single signal source
The disadvantage that information is lost, information source is faint can achieve support fault data processing (confidence level, redundancy etc.) and fault data
Fusion, and then realize high-precision fault location.
On the basis of above embodiments, further, in other embodiments when the failure of each fault detection means is believed
Finally determining fault section is modified in conjunction with historical failure information when ceasing imperfect.Historical data base is big data analysis
One database of platform gives a fault location using various historical informations when information source is lost or data are unreliable
The inferred results of section.
Embodiment 2: on the basis of above embodiments, the present embodiment comprehensively utilizes power distribution automation main station, new distribution
The information of the system acquisitions such as terminal and indicating fault is based on big data analysis platform, from small current grounding fault feature, knot
Close the movement of existing electrical power distribution automatization system, dispatch automated system, fault detector and low-current ground fault line selection device
Feature realizes the fault location of high-precision high accuracy.
Include: as each detection device of the data source of multi-source information in the present embodiment
1) power distribution automation management system
Distribution network automated management system is an information integration and utilization system, and this patent utilizes power distribution automation
The information of main station system is as follows:
1. whether 3U0 warning information auxiliary judgment occurs singlephase earth fault, may then occur if any 3U0 warning information single
Phase ground fault；
2. power supply interrupted district is monitored using real time monitoring voltage and current data, to realize to based on big data analysis platform
The singlephase earth fault positioning result of detection is confirmed, determines after breaking down information really, fault location information is stored in
Historical failure information bank；
2) automation system for the power network dispatching
Voltage that automation system for the power network dispatching acquires in real time, current information monitor scope of power outage, to realize to big data
Analysis platform singlephase earth fault positioning result is confirmed, is determined after breaking down really, and fault location information deposit is gone through
History fault message storehouse.
3) power information acquisition system
The data of power information acquisition system acquisition include: voltage, current information, determine scope of power outage and power off time.
Big data analysis platform determines the accuracy of fault location result using these data and combination failure positioning result.
Fault location result precision calculates:
WhereinFor the calculated fault wire travel permit number of fault location algorithm based on Multi-source Information Fusion；For in extraction system confirm after the actual fault outage number of lines.
Using positioning result accuracy information, first is that being fed back to the positioning result of big data analysis platform, to realize
Improvement to big data analysis Platform Location Algorithm；Second is that determining the high-incidence model of failure in conjunction with scope of power outage and breakdown judge range
It encloses, and guides fault detector best position；Third is that fault location result and fault location accuracy are combined, determine most
Good power supply mode.
4) fault detector
Fault detector refers to that one kind is mounted on the dress that fault current is indicated on power line (overhead line, cable and busbar)
It sets.Most of fault detectors can be differentiated by detecting the feature of short circuit current, indicate short trouble.
In the present embodiment preferably, using transient state recording type fault detector.Transient state recording type fault detector is comprehensive
Utilize intelligent sensor technology, signal processing technology, artificial intelligence technology and Information and Communication Technology, high-precision real time on-line monitoring
Medium voltage distribution network line current, to earth electric field, high sampling recording is triggered when line status is abnormal change, according to recording number
It is accurately positioned according to achievable small current neutral grounding system ground fault, complex fault process recalls inverting, line anomalies state shifts to an earlier date
Early warning, effectively shortens line fault recovery time, and becoming " passively reporting for repairment " is " actively monitoring ", conscientiously promotion power distribution network O&M water
It is flat, it improves benefit.
Its data acquired includes: three-phase voltage, electric current, residual voltage, zero-sequence current information.Big data analysis platform benefit
With the three-phase voltage and current information of transient state recording type fault detector, and zero-sequence component is calculated, the wherein calculating of voltage and current
Method is as follows:
U0=(UA+UB+UC)/3
I0=(IA+IB+IC)/3
The judgement that transient state recording type fault detector three-phase voltage collected and three-phase current information break, works as line
There is voltage in road, and when no current, then determine that disconnection fault occurs.
Using big data analysis platform to adjacent two sets of transient state recording type fault detector zero-sequence current information calculated
It carries out related coefficient operation and is then judged as fault section when related coefficient is smaller.
5) low-current ground fault line selection device
Its data acquired includes: residual voltage, zero-sequence current information, route selection result.
The residual voltage and zero-sequence current information of the acquisition low-current ground fault line selection device acquisition of big data analysis platform,
The route selection result of low-current ground fault line selection device.
Failure outlet is judged using low-current ground fault line selection result, then utilizes the transient state recording type in failure outlet
The zero-sequence current information of the acquisition of fault detector carries out related system calculating, to realize the judgement of fault section.Using small
The zero-sequence current information in the fault feeder exit of current earthing fault line selection device acquisition and the transient state record nearest away from substation
Wave mode fault detector acquisition zero-sequence current information carry out related coefficient calculating, it can be achieved that dead zone fault verification.
A kind of method for locating single-phase ground fault provided in this embodiment, comprising:
(1) collect each detection device fault data collected, the detection device include power distribution automation management system,
Automation system for the power network dispatching, power information acquisition system, fault detector and low-current ground fault line selection device；Due to mesh
Prior fault indicator is mostly by live electric field change starting detection, and the probability that fault detector does not start is higher, therefore this implementation
Example breaks down sense command to fault detector by big data analysis platform, and the fault message that fault detector acquires is sent
Give big data analysis platform.
(2) fault data is pre-processed, the fault data includes residual voltage.In the present embodiment, in substation
Low-current ground fault line selection device or fault detector will test residual voltage, measured when any one detection device
When residual voltage is more than predetermined threshold value, it is determined that small current grounding fault occurs and to send fault message flat to big data analysis
Platform.
(3) it determines and calculates each detection device fault message integrality after small current grounding fault occurs, and is complete according to information
Whole property studies and judges result confidence level ri assignment to failure.When information integrity is low, confidence level is just low, that is, result is insincere；It is excellent
Selection of land carries out the assignment of confidence level using analytic hierarchy process (AHP).
Using big data analysis platform to each system (electrical power distribution automatization system, dispatch automated system, the event of transient state recording type
Barrier indicator, low-current ground fault line selection device) upload information is acquired, it is confirmed whether that small current grounding fault occurs,
After confirmation is broken down, the integrality that big data analysis platform uploads data to each system confirms, is confirmed whether there is number
According to loss.
(4) when fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level and meets specific want
When asking, then the faulty section of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Section recognition result；All detection device failures are studied and judged result confidence level in the present embodiment to sort from high to low, determine low current
It is then choosing when the failure of ground fault line selection device and transient state recording type fault detector studies and judges result confidence level and comes front two
The failure for determining detection device studies and judges result confidence level and meets particular requirement.Each detection device carries out single-phase earthing using the prior art
The judgement of fault section, this will not be repeated here.
(5) judge whether the fault section recognition result of each fault detection means is consistent, each failure inspection is determined if consistent
The fault section recognition result for surveying device is final fault section；
(6) if the fault message of each fault detection means is imperfect or failure studies and judges result confidence level and is unsatisfactory for particular requirement
Or fault section recognition result is inconsistent, then determines final fault section using correlation coefficient process and alarm and record failure；
On the basis of above embodiments, in order to which the correctness for guaranteeing that fault section differentiates improves the accurate of the method for the present invention
Property and reliability, the data prediction step used in a particular embodiment, including to voltage and current polarity correction and
The judgement of data integrity realizes that the frequency of each detection device is consistent with by interpolation processing.
Preferably, as follows to the pretreated method of fault data progress:
It is corrected using polarity of the voltage and current under normal circumstances to PT and CT, it is determined whether there are error-polarity connections
The case where；
The voltage and current of analysis comparison low-current ground fault line selection device and the acquisition of transient state recording type fault detector
Information determines that the moment occurs for failure；
The Sudden Changing Rate of low-current ground fault line selection device and fault detector voltage and current collected is calculated separately,
When the Sudden Changing Rate of 3 points of continued presence reaches adjusting threshold, then determine that first Sudden Changing Rate is more than that adjusting threshold is corresponding and puts
Previous point is failure initial time；
After determining that the moment occurs for failure, utilize FFT (Fast Fourier Transformation, fast Fourier transform)
Transformation handles fault data, calculates steady-state current amplitude and phase；FFT is calculating quickly fastly for discrete fourier transform (DFT)
Method is fast Fourier transform, is the prior art, this will not be repeated here.
Interpolation is carried out to the transient zero-sequence current of low-current ground fault line selection device or transient state recording type fault detector
Processing guarantees that frequency is identical.
Preferably, it is corrected using polarity of the voltage and current under normal circumstances to PT and CT, it is determined whether exist
The method of the case where error-polarity connection is as follows:
The voltage and current information acquired using PT under normal circumstances and CT calculates the angle theta of voltage U and electric current I:
θ=arg (U/I)
If line end is power load, when voltage leading current, i.e., 0 ° of θ >, PT and CT wiring is correct；
When voltage delay electric current, i.e., 0 ° of θ <, CT error-polarity connection is determined；
If line end is power supply, when voltage delay electric current, i.e., 0 ° of θ <, PT and CT wiring is correct；When voltage is electric in advance
Stream at that is, 0 ° of θ >, determines CT error-polarity connection.
Each detection device fault message integrality calculation formula is as follows:
For the false voltage and current information total quantity of the acquisition of each detection device；For each detection device
Collectable voltage and current information total quantity；
As fault message integrality λiThe failure letter of fault detection means is determined when adjusting threshold more than or equal to integrality
Breath is complete；Otherwise fault message integrality λiThe fault message of fault detection means is determined when adjusting threshold less than integrality
Be it is incomplete, the value of preferably integrality adjusting threshold is 0.7.
In a specific embodiment preferably, the method for determining fault section using correlation coefficient process in a particular embodiment
It is as follows: if the transient zero-sequence current waveform similarity factor that the detection device of section both ends test point measures is not up to phase likelihood threshold
Value, then be non-faulting section；
When the transient zero-sequence current waveform similarity factor that the detection device of both ends test point measures reaches similar threshold value, then
It is determined as fault section；
The expression formula of similarity factor is as follows:
Wherein ρi(i+1)For i-th set and the similarity factor of i+1 set of fault detection device transient zero-sequence current waveform；i0i
(xj) be the i-th set of fault detection device transient zero-sequence current, i0(i+1)(xj) be i+1 set of fault detection device transient zero-sequence
Electric current.
Another embodiment provides for method for locating single-phase ground fault systems, comprising: big data analysis platform and several
Detection device；
Several fault detection means are for acquiring fault data；
The big data analysis platform, for collecting each detection device fault data collected；
The big data analysis platform, is also used to pre-process fault data, and the fault data includes zero sequence electricity
Pressure, when the residual voltage that any one detection device measures is more than predetermined threshold value, it is determined that small current grounding fault occurs；
Determine that big data analysis platform calculates each detection device fault message integrality after small current grounding fault occurs, and according to information
Integrality studies and judges result confidence level ri assignment to failure；
When fault message is all complete, determine that the failure of selected detection device studies and judges result confidence level and meets particular requirement
When, then the fault section of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Recognition result；
Judge whether the fault section recognition result of each fault detection means is consistent, each fault detection dress is determined if consistent
The fault section recognition result set is final fault section；
If the fault message of each fault detection means is imperfect or failure study and judge result confidence level be unsatisfactory for particular requirement or
Fault section recognition result is inconsistent, then determines final fault section using correlation coefficient process.
The present embodiment collects the fault data of several detection device acquisitions, realizes the fusion of multi-source data, maximumlly
Using the fault test set in distribution, realizes the small current grounding fault location technology based on multi-source information, solve existing
Based on the low disadvantage of the fault location technology precision of single source information.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of method for locating single-phase ground fault, characterized in that include:
Collect each detection device fault data collected；
Fault data is pre-processed；
The fault data includes residual voltage, when the residual voltage that any one detection device measures is more than predetermined threshold value
When, it is determined that small current grounding fault occurs；
It determines and calculates each detection device fault message integrality after small current grounding fault occurs, and according to information integrity to each
The failure of detection device studies and judges result confidence level ri assignment；
When each detection device fault message is all complete, determine the failure of selected detection device study and judge result confidence level meet it is specific
It is required that when, then the failure of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Section recognition result；
Judge whether the fault section recognition result of each fault detection means is consistent, determines each fault detection means if consistent
Fault section recognition result is final fault section；
If the fault message of each fault detection means is imperfect or failure studies and judges result confidence level and is unsatisfactory for particular requirement or failure
Section recognition result is inconsistent, then determines final fault section using correlation coefficient process.
2. method for locating single-phase ground fault according to claim 1, characterized in that the fault data further includes three-phase
Information of voltage, three-phase current information and zero-sequence current information.
3. method for locating single-phase ground fault according to claim 1, characterized in that
The detection device includes power distribution automation management system, automation system for the power network dispatching, power information acquisition system, event
Hinder indicator and low-current ground fault line selection device.
4. method for locating single-phase ground fault according to claim 3, characterized in that carried out to fault data pretreated
Method is as follows:
It is corrected using polarity of the voltage and current under normal circumstances to PT and CT, it is determined whether there are the feelings of error-polarity connection
Condition；
The voltage and current information of analysis comparison low-current ground fault line selection device and fault detector acquisition determines that failure is sent out
The raw moment；
The Sudden Changing Rate for calculating separately low-current ground fault line selection device and fault detector voltage and current collected, when even
It renews when the Sudden Changing Rate of 3 points reaches adjusting threshold, then determines that first Sudden Changing Rate is more than the previous of the corresponding point of adjusting threshold
A point is failure initial time；
After determining that the moment occurs for failure, fault data is handled using FFT transform, calculates steady-state current amplitude and phase；
Interpolation processing is carried out to the transient zero-sequence current of low-current ground fault line selection device or fault detector, guarantees frequency phase
Together.
5. method for locating single-phase ground fault according to claim 4, characterized in that using under normal circumstances voltage and
Electric current is corrected the polarity of PT and CT, it is determined whether there are the method for error-polarity connection is as follows:
The voltage and current information acquired using PT under normal circumstances and CT calculates the angle theta of voltage U and electric current I, and expression formula is such as
Under:
θ=arg (U/I)
If line end is power load, when voltage leading current, i.e., 0 ° of θ >, PT and CT wiring is correct；
When voltage delay electric current, i.e., 0 ° of θ <, CT error-polarity connection is determined；
If line end is power supply, when voltage delay electric current, i.e., 0 ° of θ <, PT and CT wiring is correct；When voltage leading current,
At i.e. 0 ° of θ >, CT error-polarity connection is determined.
6. method for locating single-phase ground fault according to claim 1, characterized in that
Using the fault detector or low-current ground fault line selection device detection residual voltage in substation.
7. method for locating single-phase ground fault according to claim 1, characterized in that each detection device fault message is complete
Property λiCalculation formula is as follows:
For the false voltage and current information total quantity of each detection device actual acquisition；For each detection device
Collectable voltage and current information total quantity.
8. method for locating single-phase ground fault according to claim 7, characterized in that as fault message integrality λiIt is greater than
Or determine that the fault message of fault detection means is complete when equal to integrality adjusting threshold；Otherwise fault message integrality λi
The fault message of judgement fault detection means is incomplete when adjusting threshold less than integrality, the integrality adjusting threshold
Value is 0.7.
9. method for locating single-phase ground fault according to claim 1, characterized in that
Determine that the method for fault section is as follows using correlation coefficient process:
If the transient zero-sequence current waveform similarity factor that the detection device of section both ends test point measures is not up to phase likelihood threshold
Value, then be non-faulting section；
When the transient zero-sequence current waveform similarity factor that the detection device of both ends test point measures reaches similar threshold value, then determine
For fault section；
The expression formula of similarity factor is as follows:
Wherein ρi(i+1)For i-th set and the similarity factor of i+1 set of fault detection device transient zero-sequence current waveform；i0i(xj) be
The transient zero-sequence current of i-th set of fault detection device, i0(i+1)(xj) be i+1 set of fault detection device transient zero-sequence current.
10. method for locating single-phase ground fault system, characterized in that include: big data analysis platform and several fault detections dress
It sets；
Several fault detection means are for acquiring fault data；
The big data analysis platform, for collecting each detection device fault data collected；
The big data analysis platform, is also used to pre-process fault data, and the fault data includes residual voltage, when
When the residual voltage that any one detection device measures is more than predetermined threshold value, it is determined that small current grounding fault occurs；It determines
Big data analysis platform calculates each detection device fault message integrality after small current grounding fault occurs, and complete according to information
Property studies and judges result confidence level ri assignment to failure；
When each detection device fault message is all complete, determine the failure of selected detection device study and judge result confidence level meet it is specific
It is required that when, then the failure of each fault detection means is obtained using the judgement that each fault detection means carries out singlephase earth fault section
Section recognition result；
Judge whether the fault section recognition result of each fault detection means is consistent, determines each fault detection means if consistent
Fault section recognition result is final fault section；
If the fault message of each fault detection means is imperfect or failure studies and judges result confidence level and is unsatisfactory for particular requirement or failure
Section recognition result is inconsistent, then determines final fault section using correlation coefficient process.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110850333A (en) * | 2019-11-20 | 2020-02-28 | 吉林松江河水力发电有限责任公司 | Phase identification method for single-phase earth fault of low-voltage distribution system |
| CN111080474A (en) * | 2019-12-03 | 2020-04-28 | 江和顺 | Distribution network reliability analysis method based on big data visualization technology |
| CN111175670A (en) * | 2019-07-30 | 2020-05-19 | 贵州电网有限责任公司 | Ground fault inversion implementation method of distribution automation test system |
| CN112415326A (en) * | 2020-10-22 | 2021-02-26 | 中国矿业大学 | Power distribution network fault section identification method based on fuzzy clustering algorithm |
| CN112964967A (en) * | 2021-03-19 | 2021-06-15 | 云南电网有限责任公司昆明供电局 | Line selection method for single-phase earth fault line of power distribution network switching power supply |
| CN113311288A (en) * | 2021-05-11 | 2021-08-27 | 国网浙江省电力有限公司湖州供电公司 | Small current grounding fault searching and positioning method and system |
| CN113536206A (en) * | 2021-07-19 | 2021-10-22 | 国网陕西省电力公司 | Power distribution network area early warning method and system, terminal equipment and readable storage medium |
| CN114355111A (en) * | 2022-03-21 | 2022-04-15 | 智联新能电力科技有限公司 | Power distribution network fault positioning method based on improved incidence matrix |
| CN115575765A (en) * | 2022-10-31 | 2023-01-06 | 国网浙江省电力有限公司金华供电公司 | Ground fault section selection analysis system based on four-area data of distribution automation |
| CN116359668A (en) * | 2023-03-15 | 2023-06-30 | 国网宁夏电力有限公司银川供电公司 | Power distribution network single-phase earth fault positioning method based on multi-source information comprehensive judgment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202042946U (en) * | 2011-04-25 | 2011-11-16 | 成都思晗科技有限公司 | Automatic power distribution network fault positioning system |
| CN102565623A (en) * | 2011-12-21 | 2012-07-11 | 北京交通大学 | Method and device for online fault search positioning of multi-branch complex distribution network |
| CN102944814A (en) * | 2012-11-28 | 2013-02-27 | 福建省电力有限公司 | Power distribution network single-phase earth fault locating method based on transient state |
| CN106338676A (en) * | 2016-08-26 | 2017-01-18 | 山东科汇电力自动化股份有限公司 | Distributed small-current grounding fault location method |
| CN107884679A (en) * | 2017-10-27 | 2018-04-06 | 山东理工大学 | Small current Earth design method based on transient zero-sequence current signal characteristic |
-
2019
- 2019-01-18 CN CN201910048645.5A patent/CN109655713B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202042946U (en) * | 2011-04-25 | 2011-11-16 | 成都思晗科技有限公司 | Automatic power distribution network fault positioning system |
| CN102565623A (en) * | 2011-12-21 | 2012-07-11 | 北京交通大学 | Method and device for online fault search positioning of multi-branch complex distribution network |
| CN102944814A (en) * | 2012-11-28 | 2013-02-27 | 福建省电力有限公司 | Power distribution network single-phase earth fault locating method based on transient state |
| CN106338676A (en) * | 2016-08-26 | 2017-01-18 | 山东科汇电力自动化股份有限公司 | Distributed small-current grounding fault location method |
| CN107884679A (en) * | 2017-10-27 | 2018-04-06 | 山东理工大学 | Small current Earth design method based on transient zero-sequence current signal characteristic |
Non-Patent Citations (1)
| Title |
|---|
| 李娟 等: "配电自动化中的单相接地故障识别方法", 《北京机械工业学院学报》 * |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111175670A (en) * | 2019-07-30 | 2020-05-19 | 贵州电网有限责任公司 | Ground fault inversion implementation method of distribution automation test system |
| CN111175670B (en) * | 2019-07-30 | 2020-10-27 | 贵州电网有限责任公司 | Ground fault inversion implementation method of distribution automation test system |
| CN110850333B (en) * | 2019-11-20 | 2021-11-05 | 吉林松江河水力发电有限责任公司 | Phase identification method for single-phase earth fault of low-voltage distribution system |
| CN110850333A (en) * | 2019-11-20 | 2020-02-28 | 吉林松江河水力发电有限责任公司 | Phase identification method for single-phase earth fault of low-voltage distribution system |
| CN111080474A (en) * | 2019-12-03 | 2020-04-28 | 江和顺 | Distribution network reliability analysis method based on big data visualization technology |
| CN112415326B (en) * | 2020-10-22 | 2022-02-11 | 中国矿业大学 | Power distribution network fault section identification method based on fuzzy clustering algorithm |
| CN112415326A (en) * | 2020-10-22 | 2021-02-26 | 中国矿业大学 | Power distribution network fault section identification method based on fuzzy clustering algorithm |
| CN112964967A (en) * | 2021-03-19 | 2021-06-15 | 云南电网有限责任公司昆明供电局 | Line selection method for single-phase earth fault line of power distribution network switching power supply |
| CN112964967B (en) * | 2021-03-19 | 2023-02-07 | 云南电网有限责任公司昆明供电局 | Line selection method for single-phase earth fault line of power distribution network switching power supply |
| CN113311288A (en) * | 2021-05-11 | 2021-08-27 | 国网浙江省电力有限公司湖州供电公司 | Small current grounding fault searching and positioning method and system |
| CN113536206A (en) * | 2021-07-19 | 2021-10-22 | 国网陕西省电力公司 | Power distribution network area early warning method and system, terminal equipment and readable storage medium |
| CN113536206B (en) * | 2021-07-19 | 2023-12-01 | 国网陕西省电力公司 | Power distribution network area early warning method, system, terminal equipment and readable storage medium |
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