CN109038519A - A kind of fault current phase selection cut-offs control method, device and control system - Google Patents
A kind of fault current phase selection cut-offs control method, device and control system Download PDFInfo
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- CN109038519A CN109038519A CN201810958671.7A CN201810958671A CN109038519A CN 109038519 A CN109038519 A CN 109038519A CN 201810958671 A CN201810958671 A CN 201810958671A CN 109038519 A CN109038519 A CN 109038519A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/262—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of switching or blocking orders
Abstract
This application discloses the control systems that a kind of fault current phase selection cut-offs control method, device and high-voltage circuitbreaker.This method and device are applied to the control system of the high-voltage circuitbreaker of electric system, specially when short trouble occurs for electric system, carry out continuous quick sampling to the electric current of failure phase, obtain multiple current datas；Multiple current datas are calculated using preset RBF artificial neural network, obtain amplitude of short circuit and fault current zero crossing；When amplitude of short circuit exceeds default amplitude thresholds, high-voltage circuitbreaker is controlled according to fault current zero crossing and is threaded off.By using artificial neural network algorithm, any simplification is not done to the curve to be fitted, actual short current waveform is reflected to the maximum extent, therefore fault current zero crossing can be accurately predicted, and high-voltage circuitbreaker is controlled according to the point, so as to avoid electric current under the conditions of long arcing from cut-offfing.
Description
Technical field
This application involves technical field of electric power, cut-off control method, dress more specifically to a kind of fault current phase selection
It sets and control system.
Background technique
For normal circuit breaker when cut-offfing short circuit current, contact relative to current waveform is random at the time of opening, therefore
And the arcing time be also it is random, since the arcing time is uncontrollable in this case, can sometimes continue for a long time, meeting
Biggish damage is caused to the contact of breaker.It, at present can be by having measured current phase with the progress of power technology
The opening moment of contact is controlled, so as to control the arcing time, breaker is made to cut-off electricity under the shorter arcing time
Stream, to improve breaking capacity of breaker and extend its electric life.The disjunction under particular phases of this control breaker is short
The technology of road electric current is known as fault current phase selection and cut-offs technology (Controlled Fault Interruption, CFI).
The principle that fault current phase selection cut-offs technology is as shown in Figure 1.U (t) and i (t) be respectively electric system voltage and
Flow through the electric current of breaker.Assuming that short trouble, the response time t by relay protection occur at the α phase angle of electric currentPROT
Afterwards, in the case where non-phase selection is cut-off, relay protection system issues tripping instruction to breaker at once, and breaker is by intrinsic
Opening time (tCB_OPEN) after contact open, pass through arcing time tARC_DIRECTAfterwards in second zero crossing electric arc of electric current
Extinguish.In the case where phase selection is cut-off, phase-controlled device determines a target blow-out point after predicting current zero-crossing point
(TARGET), it then passes through one section of delay duration (WAITING TIME) and issues tripping order afterwards, in the experience arcing time
(tMIN_ARC) current over-zero extinguishing afterwards.The selection principle for postponing duration is when the arcing time being made to be slightly longer than the most short arcing of breaker
Between, both guaranteed that breaker can in turn avoid the arcing time too long excessive electrical wear to contact with arc extinguishing.For vacuum circuit breaker
Device can also make to have compared with small rated by deliberately selecting WAITING TIME that breaker is made to avoid experience peak value of short
The breaker of drop-out current cut-offs big short circuit current, thus the opposite connecting-disconnecting function for improving breaker.
The principle of technology is cut-off it is found that in the case where the intrinsic opening time of known breaker by phase selection, phase selection is cut-off
Delay duration determined by the prediction result of fault current zero crossing.But it since there are attenuating dc components in fault current, leads
Cause will appear fault current aperiodicity zero passage, therefore fault current zero passage point prediction is extremely not easy, and must protect in relay
It is completed in the response time of protecting system, this more increases the difficulty that phase selection is cut-off.
Summary of the invention
In view of this, the application, which provides a kind of fault current phase selection, cut-offs control method, device and control system, for
Electric system occurs to control high-voltage circuitbreaker according to fault current zero crossing when short trouble, avoids in the long arcing time
Interior carry out breaking operation.
To achieve the goals above, it is proposed that scheme it is as follows:
A kind of fault current phase selection cut-offs control method, the control system of the high-voltage circuitbreaker applied to electric system, institute
State phase selection cut-off control method comprising steps of
When short trouble occurs for the electric system, continuous quick sampling is carried out to the electric current of failure phase, is obtained multiple
Current data；
The multiple current data is calculated using preset RBF artificial neural network, obtains amplitude of short circuit
With fault current zero crossing；
When the amplitude of short circuit exceeds default amplitude thresholds, the height is controlled according to fault current zero crossing and is broken
Road device is threaded off.
The number of the current data is identical as the minimum input number of nodes of the RBF artificial neural network.
It is described to be threaded off according to the fault current zero crossing control high-voltage circuitbreaker, comprising:
According to formula tWAIT=tZC-tMCT-tNOWSeparating brake waiting time Twait is calculated, wherein tZCFor fault current zero crossing,
tMCTFor breaker most short arcing time, tNOWFor present moment；
After the waiting time is started waiting from the present moment, mould is driven to the opening coil of the dual pressure controller
Block sends separating brake instruction.
Optionally, the RBF artificial neural network is trained by the following method:
When short trouble occurs for electric system, short circuit current expression formula are as follows:
I (t)=I1(t)=Ipk·sin(ωt+α-φ)+[I(0)-Ipk·sin(α-φ)]·e-t/τ (1)
In formula,It is current amplitude after failure；I (0)=Ipk0·sin(α-φ0) it is failure hair
Raw moment current value；φ=arctan (ω Ls/Rs) it is impedance angle between power supply and fault point；τ=Ls/RsFor time constant；LS
And RSRespectively system side equivalent inductance and resistance；UpkFor source side voltage peak.
Pass through formula (1) or the failure recorded broadcast data acquisition training sample of the installation place of the high-voltage circuitbreaker of electric system, institute
Stating training sample includes multiple current datas after amplitude of short circuit, current zero-crossing point and generation short trouble；
Artificial neural network is trained using the training sample, obtains the RBF artificial neural network.
A kind of fault current phase selection cut-offs control device, the control system of the high-voltage circuitbreaker applied to electric system, institute
It states phase selection and cut-offs control device and include:
Data acquisition module, for being carried out to the electric current of failure phase continuous when short trouble occurs for the electric system
Quick sampling obtains multiple current datas；
Data computation module, for being calculated using preset RBF artificial neural network the multiple current data,
Obtain amplitude of short circuit and fault current zero crossing；
Control module is cut-off, is used for when the amplitude of short circuit exceeds default amplitude thresholds, according to fault current mistake
High-voltage circuitbreaker described in Zero magnitude control carries out trip operation.
Optionally, the control module of cut-offfing includes:
Time calculating unit, for according to formula tWAIT=tZC-tMCT-tNOWSeparating brake waiting time Twait is calculated, wherein tZC
For fault current zero crossing, tMCTFor breaker most short arcing time, tNOWFor present moment；
Output unit is instructed, after starting waiting the waiting time from the present moment, to the high voltage control
The opening coil drive module of device sends separating brake instruction.
A kind of control system of high-voltage circuitbreaker is provided with phase selection as described above and cut-offs control device.
A kind of control system of high-voltage circuitbreaker is provided with controller, current sensor and divide-shut brake coil drive module,
Wherein:
The current sensor is used to detect the faulted phase current signal of electric system；
The memory that the controller is provided at least one processor and is connected with the processor, the memory
It is stored with computer program or instruction, the processor is for executing the computer program or instruction, so that the controller
It realizes following operation: when short trouble occurs for the electric system, the monophase current signal that short trouble occurs being connected
Continuous quick sampling, is obtained multiple current datas, is counted using preset RBF artificial neural network to the multiple current data
It calculates, obtains amplitude of short circuit and fault current zero crossing, when the amplitude of short circuit exceeds default amplitude thresholds, according to
Fault current zero crossing is instructed to opening coil drive module output separating brake；
The opening coil drive module controls the high-voltage circuitbreaker disjunction fault current according to separating brake instruction.
Optionally, the current sensor is connected by linear optical coupling with the analog-to-digital conversion module of the controller.
Optionally, the controller is connected by optocoupler with the opening coil drive module.
Optionally, the controller is provided with communication module, in which:
The communication module is used to the operation information of the controller and short circuit current information being uploaded to the power train
The relay protection system of system is also used to receive the relay protection order that the relay protection system is sent, and according to the relay
Guarded command executes relay protection operation to the high-voltage circuitbreaker in local.
It can be seen from the above technical scheme that this application discloses a kind of fault current phase selections to cut-off control method, dress
The control system with high-voltage circuitbreaker is set, this method and device are applied to the control system of the high-voltage circuitbreaker of electric system, tool
Body is to carry out continuous quick sampling when short trouble occurs for electric system to the electric current of failure phase, obtain multiple current datas；
Multiple current datas are calculated using preset RBF artificial neural network, obtain amplitude of short circuit and fault current mistake
Zero point；When amplitude of short circuit exceeds default amplitude thresholds, high-voltage circuitbreaker tripping is controlled according to fault current zero crossing.It is logical
The artificial neural network algorithm used is crossed, any simplification is not done to the curve to be fitted, is reflected to the maximum extent practical short
Road current waveform, therefore can accurately predict fault current zero crossing；Amplitude of short circuit and its zero crossing pass through artificial neuron
Network forward direction, which calculates, to be obtained, and calculation amount is small, meets electric system requirement of real-time.According to calculated short circuit current zero crossing pair
High-voltage circuitbreaker is controlled, to avoid carrying out breaking operation under the conditions of the long arcing time.
In addition, the technical solution of the application can even use the true fault electric current recorded broadcast number of high-voltage circuitbreaker installation place
According to network is trained, actual short current waveform is reflected to the maximum extent.Therefore precision of prediction is higher.
Really, the training of RBF artificial neural network is also required to a large amount of calculation amount, however the network training of the application with from
Line mode carries out, and is not take up the computing resource of controller.The controller calculating to be carried out is only from the input layer of network to defeated
The positive simple computation of layer, calculation amount very little, committed memory are also few out.Thus especially suitable for microcontroller.
In addition, traditional algorithm restores entire fault current curve by calculating all model parameters, then just calculate
Zero crossing out, so it is computationally intensive.And the present invention only predicts a few ginseng such as short circuit current zero crossing and amplitude of short circuit
Number, does not restore whole curve, therefore speed is faster, is convenient for microcontroller application.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to make one simply to introduce, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the schematic diagram that fault current phase selection provided by the present application cut-offs technology；
Fig. 2 is the step flow chart that a kind of fault current phase selection provided by the embodiments of the present application cut-offs control method；
Fig. 3 is RBF artificial neural network algorithm schematic diagram provided by the present application；
Fig. 4 is the structural block diagram that a kind of fault current phase selection provided by the embodiments of the present application cut-offs control device；
Fig. 5 is a kind of structural block diagram of the control system of high-voltage circuitbreaker provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Embodiment one
Fig. 2 is the step flow chart that a kind of fault current phase selection provided by the embodiments of the present application cut-offs control method.
As shown in Fig. 2, fault current phase selection provided in this embodiment cut-offs the high pressure that control method is applied to electric system
The control system of breaker, for controlling cut-offfing for high-voltage circuitbreaker, which cut-offs the control system
Control method specifically comprises the following steps:
S1, continuous quick sampling is carried out to the electric current that short trouble phase occurs.
Specifically the three-phase current of electric system is carried out to continue detection, when certain phase current exception in three-phase current
Determine that short trouble (the application does not solve failure initial time decision problem) mutually occurs in this, and from now on to the phase current
Continuous quick sampling is carried out, N number of current data is obtained.Wherein, N is the positive integer greater than 1.S2, RBF artificial neural network is utilized
Multiple current datas are calculated.
After obtaining N number of current data, using preparatory trained RBF artificial neural network to N number of current data into
Row calculates, and N is that can make the convergent minimum input number of nodes of RBF artificial neural network training here.Short circuit is obtained by calculation
Current amplitude and its zero crossing.
Process using RBF artificial neural networks amplitude of short circuit and fault current zero crossing is as follows, such as Fig. 3 institute
Show:
First layer input layer number is N, uses Xk(k=1,2 ..., N) it indicates；
Third layer output layer number of nodes M=1 has 1 output variable: fault current amplitudes or current over-zero point moment,
It is indicated with Y；
For second layer hidden layer using Gaussian bases as activation primitive, V is used in outputj(j=1,2 ..., L) is indicated, L is
Node in hidden layer；
Implicit layer functions use Gaussian radial basis function, and are normalized；
Assuming that P is number of samples, given input is(u=1,2 ..., P), the given output of hidden layer are(u=1,
2 ..., P), the given output of output layer is Yu(u=1,2 ..., P), then hidden layer exports are as follows:Wherein,For Gaussian radial basis function, cjk=(cj1,cj2,...,cjk,cjN)TFor hidden layer section
The center of point basic function, σjFor the width of hidden layer node basic function,For normalized radial basis function, N is positive input layer
Number of nodes；
Output node layer output beWjFor the connection weight between hidden layer node and output node layer
Value.
In addition, the training of the RBF artificial neural network follows the steps below: firstly, obtaining training sample, specially
The failure recorded broadcast data acquisition training sample of high-voltage circuitbreaker installation place with formula (1) or by electric system, training sample packet
It includes amplitude of short circuit, current zero-crossing point and multiple current datas after short trouble occurs；Then, using training sample to people
Artificial neural networks are trained, and obtain the RBF artificial neural network.Specific training process is as follows:
A) all training samples are normalized:
Wherein X and X ' is respectively the data after initial data and normalization；
B) performance index function for determining that RBF network approaches is
Wherein y (k) is the nonlinear function to be fitted (tutor's signal), i.e. following formula,
I (t)=I1(t)=Ipk·sin(ωt+α-φ)+[I(0)-Ipk·sin(α-φ)]·e-t/τ (1)
In formula,It is current amplitude after failure；I (0)=Ipk0·sin(α-φ0) it is failure hair
Raw moment current value；φ=arctan (ω Ls/Rs) it is impedance angle between power supply and fault point；τ=Ls/RsFor time constant；LS
And RSRespectively system side equivalent inductance and resistance；UpkFor source side voltage peak.
Harmonic component can be added when practical operation as the case may be.It can also be using the practical event of breaker installation place
Hinder recorded broadcast data；ym(k) it is the real output value of network, is amplitude of short circuit or short circuit current zero crossing.
C) according to gradient descent method, the iterative algorithm of output power, node sound stage width parameter and node center vector is as follows:
wj(k)=wj(k-1)+η(y(k)-ym(k))hj+α(wj(k-1)-wj(k-2))
bj(k)=bj(k-1)+ηΔbj+α(bj(k-1)-bj(k-2))
cji(k)=cji(k-1)+ηΔcji+α(cji(k-1)-cji(k-2))
In formula, hjFor Gaussian bases,
η is learning rate, and α is factor of momentum, η ∈ [0,1], α ∈ [0,1]；
D) formula (1) or the failure recorded broadcast off-line data on breaker installation ground is used to obtain amplitude of short circuit or zero crossing and event
The relationship between N number of current value at the beginning of barrier generation forms training to data, by above-mentioned (a-c) step, to the artificial mind
It is trained through network, obtains the network parameter of neural network.Training clock synchronization is being obtained with formula (1), it can be optionally in formula
Harmonic component is added, so that neural network model can express the harmonic components in electric current.
S3, it carries out cut-offfing operation according to fault current zero crossing control high-voltage circuitbreaker.
When by it is above-mentioned amplitude of short circuit and fault current zero crossing is calculated after, if amplitude of short circuit exceeds
Default amplitude thresholds control high-voltage circuitbreaker according to the fault current zero crossing at this time and single-phase thread off to what is broken down.
Specifically, firstly, calculating separating brake waiting time t according to the following formulaWAIT:
tWAIT=tZC-tMCT-tNOW
Wherein, tZCFor fault current zero crossing (zero crossing), tMCTFor the breaker most short arcing time
(minimum clearing time), tNOWFor present moment (current time after n times current sample).
Then, t is waitedWAITAfter time, separating brake instruction is sent to the divide-shut brake coil drive module of high-voltage circuitbreaker, so that
For high-voltage circuit breaker in best current phase, the arcing time for undergoing breaker is minimum.
It can be seen from the above technical proposal that present embodiments providing a kind of fault current phase selection cut-offs control method, it should
Method is applied to the control system of the high-voltage circuitbreaker of electric system, specially when short trouble occurs for electric system, to hair
The monophase current of raw short trouble carries out continuous quick sampling, obtains multiple current datas；Utilize preset RBF artificial neural network
Network calculates multiple current datas, obtains amplitude of short circuit and fault current zero crossing；When amplitude of short circuit exceeds
When default amplitude thresholds, high-voltage circuitbreaker is controlled according to fault current zero crossing and is threaded off.By using artificial neural network
Network algorithm does not do any simplification to the curve to be fitted, reflects actual short current waveform to the maximum extent, therefore can
Accurate prediction fault current zero crossing, simultaneously as amplitude of short circuit and its zero crossing are counted by artificial neural network forward direction
It calculates and obtains, calculation amount is small, meets electric system requirement of real-time.High-voltage circuitbreaker is controlled according to the method that the application uses
System, can cut-off under the conditions of the long arcing time to avoid breaker, improve the electric life of breaker.For vacuum circuit breaker, lead to
Crossing deliberately selection separating brake phase makes breaker avoid experience peak value of short, can also make to have compared with small rated drop-out current
Breaker cut-offs big short circuit current, thus the opposite connecting-disconnecting function for improving breaker.
Embodiment two
Fig. 4 is the structural block diagram that a kind of fault current phase selection provided by the embodiments of the present application cut-offs control device.
As shown in figure 4, fault current phase selection provided in this embodiment cut-offs the high pressure that control device is applied to electric system
The control system of breaker, for the control system for carrying out cut-offfing control to high-voltage circuitbreaker, which cut-offs control device tool
Body includes data acquisition module 10, data computation module 20 and cut-offs control module 30.
Data acquisition module is used to carry out continuous quick sampling to the electric current of failure phase.
Specifically the three-phase current of electric system is carried out to continue detection, when certain phase current exception in three-phase current
Determine that short trouble mutually occurs in this, and continuous quick sampling is mutually carried out to this from now on, obtains N number of current data.Wherein,
N is the positive integer greater than 1.
Data computation module is for calculating multiple current datas using RBF artificial neural network.
After obtaining N number of current data, using preparatory trained RBF artificial neural network to N number of current data into
Row calculates, and N is that can make the convergent minimum input number of nodes of RBF artificial neural network training here.Short circuit is obtained by calculation
Current amplitude and fault current zero crossing.
Electric current of the control module for controlling high-voltage circuitbreaker according to fault current zero crossing is cut-off to cut-off.
When by it is above-mentioned amplitude of short circuit and fault current zero crossing is calculated after, if amplitude of short circuit exceeds
Default amplitude thresholds control high-voltage circuitbreaker according to the fault current zero crossing at this time and carry out cut-offfing operation.
Specifically, which includes time calculating unit and instruction output unit, and time calculating unit is used under
Formula calculates separating brake waiting time tWAIT:
tWAIT=tZC-tMCT-tNOW
Wherein, tZCFor fault current zero crossing (zero crossing), tMCTFor the breaker most short arcing time
(minimum clearing time), tNOWFor present moment (current time after n times current sample).
Output unit is instructed then to wait tWAITAfter time, separating brake is sent to the opening coil drive module of high-voltage circuitbreaker
Instruction, so that high-voltage circuitbreaker separating brake, in best current phase, the arcing time for undergoing breaker is minimum.
It can be seen from the above technical proposal that present embodiments providing a kind of fault current phase selection cut-offs control device, it should
Device is applied to the control system of the high-voltage circuitbreaker of electric system, specially when short trouble occurs for electric system, to hair
The monophase current of raw short trouble carries out continuous quick sampling, obtains multiple current datas；Utilize preset RBF artificial neural network
Network calculates multiple current datas, obtains amplitude of short circuit and fault current zero crossing；When amplitude of short circuit exceeds
When default amplitude thresholds, high-voltage circuitbreaker tripping is controlled according to fault current zero crossing.By using artificial neural network calculate
Method does not do any simplification to the curve to be fitted, and reflects actual short current waveform to the maximum extent, therefore can be accurate
It predicts fault current zero crossing, and high-voltage circuitbreaker is controlled according to the point, too long asked so as to avoid the arcing time
Topic.
Embodiment three
A kind of control system of high-voltage circuitbreaker is present embodiments provided, which has a upper embodiment to provide
Phase selection cut-off control device.It is specially when short trouble occurs for electric system, to failure phase that phase selection, which cut-offs control device,
Electric current carries out continuous quick sampling, obtains multiple current datas；Using preset RBF artificial neural network to multiple current datas
It is calculated, obtains amplitude of short circuit and fault current zero crossing；When amplitude of short circuit exceeds default amplitude thresholds, root
It threads off according to fault current zero crossing control high-voltage circuitbreaker.By using artificial neural network algorithm, to being fitted
Curve do not do any simplification, reflect actual short current waveform to the maximum extent, therefore can accurately predict fault current
Zero crossing, simultaneously as amplitude of short circuit and its zero crossing are calculated by artificial neural network forward direction and obtained, calculation amount is small,
It can satisfy electric system requirement of real-time.High-voltage circuitbreaker is controlled according to this method, it can be to avoid breaker in length
It is cut-off under the conditions of arcing time, improves the electric life of breaker.For vacuum circuit breaker, by deliberately selecting separating brake phase to make to break
Road device avoids experience peak value of short, can also make electric with big short circuit is cut-off compared with the breaker of small rated drop-out current
Stream, thus the opposite connecting-disconnecting function for improving breaker.
Example IV
Fig. 5 is a kind of structural block diagram of the control system of high-voltage circuitbreaker provided by the embodiments of the present application.
As shown in figure 5, control system provided in this embodiment is used to carry out phase selection to the high-voltage circuitbreaker of electric system to open
Disconnected control.Controller 40 is specifically included, further includes the current sensor 50 being connected with controller and opening coil drive module
60。
Current sensor is used to detect the three-phase current signal of electric system, and is output to the analog-to-digital conversion module of controller
41.Current sensor is connected by linear optical coupling 70 with the analog-to-digital conversion module of controller, and any filtering is not added in sampling channel
Measure is to guarantee that all information of short circuit current are collected.Controller also passes through optocoupler 80 and is connected with opening coil drive module
It connects.
In addition, controller is additionally provided with communication module 42, the communication module be used for the operation information of the controller and
Short circuit current information is uploaded to the relay protection system of the electric system.It is also used to receive what the relay protection system was sent
Relay protection order, and relay protection operation is executed to the high-voltage circuitbreaker in local according to the relay protection order.
Analog-to-digital conversion module is for converting three-phase current signal, and controller is in the electric current for obtaining three-phase current signal
It is monitored after data, by monitoring if it find that certain phase current data exception is then judged by preset rules, if sentenced
Short trouble mutually occurs for fixed this, then mutually carries out continuous quick sampling to this, obtain multiple current datas.
Controller includes at least one processor, further includes the memory being connected with processor, and memory is stored with meter
Calculation machine program or instruction, processor is for executing the computer program or instruction, so that controller realizes following operation:
When short trouble occurs for the electric system, using preset RBF artificial neural network to the multiple electric current
Data are calculated, and amplitude of short circuit and fault current zero crossing are obtained, when the amplitude of short circuit exceeds default amplitude
When threshold value, instructed according to fault current zero crossing to divide-shut brake coil drive module output separating brake.
Opening coil drive module controls the high-voltage circuitbreaker according to separating brake instruction and executes sub-switching operation.
By using artificial neural network algorithm, any simplification is not done to the curve to be fitted, to the maximum extent instead
Actual short current waveform has been reflected, therefore can accurately predict fault current zero crossing, further, since using artificial neural network
Network, amplitude of short circuit and its zero crossing are calculated by artificial neural network forward direction and are obtained, and calculation amount is small, can satisfy power train
System requirement of real-time.High-voltage circuitbreaker is controlled according to this method, it can be to avoid breaker under the conditions of the long arcing time
It cut-offs, improves the electric life of breaker.For vacuum circuit breaker, by deliberately select separating brake phase make breaker avoid undergoing it is short
Road current peak can also make to cut-off big short circuit current with the breaker compared with small rated drop-out current, so that opposite improve
The connecting-disconnecting function of breaker.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.
It should be understood by those skilled in the art that, the embodiments of the present application may be provided as method, apparatus or calculating
Machine program product.Therefore, the embodiment of the present application can be used complete hardware embodiment, complete software embodiment or combine software and
The form of the embodiment of hardware aspect.Moreover, the embodiment of the present application can be used one or more wherein include computer can
With in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of program code
The form of the computer program product of implementation.
The embodiment of the present application is referring to according to the method for the embodiment of the present application, terminal device (system) and computer program
The flowchart and/or the block diagram of product describes.It should be understood that flowchart and/or the block diagram can be realized by computer program instructions
In each flow and/or block and flowchart and/or the block diagram in process and/or box combination.It can provide these
Computer program instructions are set to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminals
Standby processor is to generate a machine, so that being held by the processor of computer or other programmable data processing terminal devices
Capable instruction generates for realizing in one or more flows of the flowchart and/or one or more blocks of the block diagram
The device of specified function.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing terminal devices
In computer-readable memory operate in a specific manner, so that instruction stored in the computer readable memory generates packet
The manufacture of command device is included, which realizes in one side of one or more flows of the flowchart and/or block diagram
The function of being specified in frame or multiple boxes.
These computer program instructions can also be loaded into computer or other programmable data processing terminal devices, so that
Series of operation steps are executed on computer or other programmable terminal equipments to generate computer implemented processing, thus
The instruction executed on computer or other programmable terminal equipments is provided for realizing in one or more flows of the flowchart
And/or in one or more blocks of the block diagram specify function the step of.
Although preferred embodiments of the embodiments of the present application have been described, once a person skilled in the art knows bases
This creative concept, then additional changes and modifications can be made to these embodiments.So the following claims are intended to be interpreted as
Including preferred embodiment and all change and modification within the scope of the embodiments of the present application.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that process, method, article or terminal device including a series of elements not only wrap
Those elements are included, but also including other elements that are not explicitly listed, or further includes for this process, method, article
Or the element that terminal device is intrinsic.In the absence of more restrictions, being wanted by what sentence "including a ..." limited
Element, it is not excluded that there is also other identical elements in process, method, article or the terminal device for including the element.
Technical solution provided herein is described in detail above, specific case used herein is to this Shen
Principle and embodiment please is expounded, the present processes that the above embodiments are only used to help understand and its
Core concept；At the same time, for those skilled in the art, according to the thought of the application, in specific embodiment and application
There will be changes in range, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (11)
1. a kind of fault current phase selection cut-offs control method, the control system of the high-voltage circuitbreaker applied to electric system, special
Sign is, the phase selection cut-off control method comprising steps of
When short trouble occurs for the electric system, continuous quick sampling is carried out to the electric current of failure phase, obtains multiple electric currents
Data；
The multiple current data is calculated using preset RBF artificial neural network, obtains amplitude of short circuit and event
Hinder current zero-crossing point；
When the amplitude of short circuit exceeds default amplitude thresholds, the high-voltage circuitbreaker is controlled according to fault current zero crossing
It threads off.
2. fault current phase selection as described in claim 1 cut-offs control method, which is characterized in that the number of the current data
It is identical as the minimum input number of nodes of the RBF artificial neural network.
3. fault current phase selection as described in claim 1 cut-offs control method, which is characterized in that described according to fault current mistake
High-voltage circuitbreaker described in Zero magnitude control is threaded off, comprising:
According to formula tWAIT=tZC-tMCT-tNOWSeparating brake waiting time Twait is calculated, wherein tZCFor fault current zero crossing, tMCT
For breaker most short arcing time, tNOWFor present moment；
After the waiting time is started waiting from the present moment, to the divide-shut brake coil drive module of the dual pressure controller
Send separating brake instruction.
4. fault current phase selection as described in claim 1 cut-offs control method, which is characterized in that the RBF artificial neural network
Network is trained by the following method:
When short trouble occurs for electric system, short circuit current expression formula are as follows:
I (t)=Ipk·sin(ωt+α-φ)+[I(0)-Ipk·sin(α-φ)]·e-t/τ (1)
In formula,It is current amplitude after failure；I (0)=Ipk0·sin(α-φ0) be failure occur when
Carve current value；φ=arctan (ω Ls/Rs) it is impedance angle between power supply and fault point；τ=Ls/RsFor time constant；LSAnd RS
Respectively system side equivalent inductance and resistance；UpkFor source side voltage peak；
Pass through formula (1) or the failure recorded broadcast data acquisition training sample of the installation place of the high-voltage circuitbreaker of electric system, the instruction
Practicing sample includes multiple current datas after amplitude of short circuit, current zero-crossing point and generation short trouble；
Artificial neural network is trained using the training sample, obtains the RBF artificial neural network.
5. a kind of fault current phase selection cut-offs control device, the control system of the high-voltage circuitbreaker applied to electric system, special
Sign is that the phase selection cut-offs control device and includes:
Data acquisition module, for continuously quickly being adopted to faulted phase current progress when short trouble occurs for the electric system
Sample obtains multiple current datas；
Data computation module is obtained for being calculated using preset RBF artificial neural network the multiple current data
Amplitude of short circuit and fault current zero crossing；
Control module is cut-off, is used for when the amplitude of short circuit exceeds default amplitude thresholds, according to fault current zero crossing
The high-voltage circuitbreaker is controlled to thread off.
6. fault current phase selection as claimed in claim 5 cut-offs control device, which is characterized in that the number of the current data
It is identical as the minimum input number of nodes of the RBF artificial neural network.
7. fault current phase selection as claimed in claim 5 cut-offs control device, which is characterized in that described to cut-off control module packet
It includes:
Time calculating unit, for according to formula tWAIT=tZC-tMCT-tNOWSeparating brake waiting time Twait is calculated, wherein tZCFor event
Hinder current zero-crossing point, tMCTFor breaker most short arcing time, tNOWFor present moment；
Output unit is instructed, after starting waiting the waiting time from the present moment, to the dual pressure controller
Divide-shut brake coil drive module sends separating brake instruction.
8. a kind of control system of high-voltage circuitbreaker, which is characterized in that be arranged just like the described in any item choosings of claim 5~7
Mutually cut-off control device.
9. a kind of control system of high-voltage circuitbreaker, which is characterized in that be provided with controller, current sensor and divide-shut brake coil
Drive module, in which:
The current sensor is used to detect the faulted phase current signal of electric system；
The memory that the controller is provided at least one processor and is connected with the processor, the memory storage
There are computer program or instruction, the processor is for executing the computer program or instruction, so that the controller is realized
Following operation: when short trouble occurs for the electric system, the monophase current signal that short trouble occurs is carried out continuous fast
Speed sampling, is obtained multiple current datas, is calculated using preset RBF artificial neural network the multiple current data,
Amplitude of short circuit and fault current zero crossing are obtained, when the amplitude of short circuit exceeds default amplitude thresholds, according to event
Hinder current zero-crossing point to divide-shut brake coil drive module output separating brake instruction；
The divide-shut brake coil drive module controls the high-voltage circuitbreaker disjunction fault current according to separating brake instruction.
10. control system as claimed in claim 9, which is characterized in that the current sensor by linear optical coupling with it is described
The analog-to-digital conversion module of controller is connected.
11. control system as claimed in claim 9, which is characterized in that the controller is provided with communication module, in which:
The communication module is used to the operation information of the controller and short circuit current information being uploaded to the electric system
Relay protection system is also used to receive the relay protection order that the relay protection system is sent, and according to the relay protection
Order executes relay protection operation to the high-voltage circuitbreaker in local.
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| CN113253104A (en) * | 2020-02-13 | 2021-08-13 | 南京南瑞继保工程技术有限公司 | Method, device and system for identifying poor contact of circuit breaker |
| CN115389812A (en) * | 2022-10-28 | 2022-11-25 | 国网信息通信产业集团有限公司 | Artificial neural network short-circuit current zero prediction method and prediction terminal |
| CN115561628A (en) * | 2022-12-08 | 2023-01-03 | 中国南方电网有限责任公司超高压输电公司广州局 | Breaker breaking capacity analysis method and device, computer equipment and medium |
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| CN106159875A (en) * | 2015-04-27 | 2016-11-23 | 华中科技大学 | A kind of short circuit current zero predicting method and short circuit current phase selection disjunction control method |
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| CN113253104A (en) * | 2020-02-13 | 2021-08-13 | 南京南瑞继保工程技术有限公司 | Method, device and system for identifying poor contact of circuit breaker |
| CN113253104B (en) * | 2020-02-13 | 2023-08-08 | 南京南瑞继保工程技术有限公司 | Method, device and system for identifying bad contact of circuit breaker |
| CN115389812A (en) * | 2022-10-28 | 2022-11-25 | 国网信息通信产业集团有限公司 | Artificial neural network short-circuit current zero prediction method and prediction terminal |
| CN115561628A (en) * | 2022-12-08 | 2023-01-03 | 中国南方电网有限责任公司超高压输电公司广州局 | Breaker breaking capacity analysis method and device, computer equipment and medium |
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| CN109038519B (en) | 2020-04-03 |
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Effective date of registration: 20210430 Address after: 710075 floor 5-9, block C, No.7 tangxing Road, high tech Zone, Xi'an City, Shaanxi Province Patentee after: XI'AN XIDIAN ELECTRIC RESEARCH INSTITUTE Co.,Ltd. Patentee after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Patentee after: CHINA XD ELECTRIC Co.,Ltd. Address before: 710075 floor 5-9, block C, No.7 tangxing Road, high tech Zone, Xi'an City, Shaanxi Province Patentee before: XI'AN XIDIAN ELECTRIC RESEARCH INSTITUTE Co.,Ltd. Patentee before: CHINA XD ELECTRIC Co.,Ltd. |