CN114123130B - Failure protection discrimination method and device based on waveform characteristic recognition - Google Patents
Failure protection discrimination method and device based on waveform characteristic recognition Download PDFInfo
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Classifications
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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
Abstract
The invention discloses a failure protection discrimination method and device based on waveform characteristic recognition, wherein the method comprises the following steps: obtaining a plurality of sampling points corresponding to the phase current of the preset period according to the protection jump command phase, obtaining the sampling point with the largest current value, and inputting a corresponding failure protection current waveform criterion; when the waveform criterion of the failure protection current of the continuous first preset number of sampling points meets the preset condition, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign. Aiming at the fact that the current characteristics of a CT after the switch is correctly tripped and the CT after the switch is out of order are different, whether the secondary current of the CT is a trailing current or a fault current is distinguished through a waveform distinguishing algorithm, whether the breaker is out of order is judged rapidly, and the action speed and reliability of failure protection are improved.
Description
Technical Field
The invention relates to the technical field of relay protection of power equipment, in particular to a failure protection judging method and device based on waveform characteristic identification.
Background
At present, an extra-high voltage alternating current-direct current series-parallel connection pattern is formed on a power grid in China, and serious fault of alternating current-direct current system cascading can be possibly caused if the fault of the alternating current system cannot be cleared in time due to the influence of direct current commutation failure. The system has higher requirements on the fault limit cutting time and the action speed of breaker failure protection. At the moment of cutting off the short-circuit current, the iron core of the Current Transformer (CT) still works under the condition of high magnetic density, and then the magnetic density of the iron core decays exponentially according to the time constant of the secondary circuit. The energy generated by exciting current and stored in the secondary winding of CT is gradually released through a loop consisting of secondary resistor and inductor, thus the tailing condition of CT secondary current is necessarily formed. Considering the current trailing effect of the CT secondary circuit, the existing failure protection action delay is generally set longer, and the action time can not meet the safety and stability requirements of a power grid.
Disclosure of Invention
The embodiment of the invention aims to provide a failure protection judging method and device based on waveform characteristic recognition, aiming at the fact that a switch is correctly tripped and the current characteristics of a CT after the switch fails are different, a waveform judging algorithm is used for distinguishing whether a CT secondary current is a trailing current or a fault current, whether a breaker fails or not is judged rapidly, and the action speed and reliability of failure protection are improved.
In order to solve the above technical problems, a first aspect of the embodiments of the present invention provides a failure protection discrimination method based on waveform feature recognition, including the following steps:
obtaining a plurality of sampling points corresponding to phase current in a preset period according to a protection jump command phase, obtaining the sampling point with the largest current value, and inputting a corresponding failure protection current waveform criterion;
and when the waveform criteria of the failure protection currents of the continuous first preset number of sampling points meet preset conditions, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign.
Further, before outputting the fail-safe start flag, the method further includes:
after the failure protection delay, outputting a starting mark of the failure protection.
Further, the calculating the sampling point with the largest current value and inputting the corresponding failure protection current waveform criterion includes:
selecting the sampling point with the largest current value from the plurality of sampling points, forward pushing a second preset number of the sampling points, and backward pushing the second preset number of the sampling points;
calculating the waveform identification coefficient of the corresponding forward sampling point and the waveform identification coefficient of the backward sampling point;
and calculating the failure protection current waveform criterion of the sampling point with the maximum current value according to the waveform identification coefficient.
Further, taking phase a as an example, the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point are respectively:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m ))/(m*Ts)
wherein i is Ai_max I is the largest i-th sampling value in the A-phase current sampling points in the preset period A(i-m) For advancing the A phase current value of m sampling points, i A(i+m) For backward pushing the A phase current value of m sampling points, m is the forward pushing or backward sampling point number, and Ts is the sampling interval of the device.
Further, the failure protection current criterion is:
S Ai ＝k Ai_q /k Ai_h 。
accordingly, a second aspect of the embodiments of the present invention provides a malfunction protection discrimination apparatus based on waveform feature recognition, including:
the calculation module is used for obtaining a plurality of sampling points corresponding to the phase current in the preset period according to the protection jump command to obtain a failure protection current waveform criterion corresponding to the sampling point with the largest current value;
and the judging module is used for judging that the circuit breaker is in a failure state when the waveform criterion of the failure protection current of the continuous first preset number of sampling points meets the preset condition and outputting a failure protection starting mark.
Further, the malfunction protection discrimination device based on waveform feature recognition further includes:
and the delay control module is used for outputting a starting mark of failure protection after failure protection delay.
Further, the computing module includes:
the sampling point selecting unit is used for selecting the sampling point with the largest current value in the plurality of sampling points, pushing forward a second preset number of the sampling points and pushing backward the second preset number of the sampling points;
a first calculation unit for calculating a waveform identification coefficient of a corresponding forward-push sampling point and a waveform identification coefficient of a backward-push sampling point;
and the second calculation unit is used for calculating the failure protection current waveform criterion of the sampling point with the maximum current value according to the waveform identification coefficient.
Further, the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point are respectively:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m) )/(m*Ts)
wherein i is Ai_max I is the largest i-th sampling value in the sampling points of the phase A current in the preset period A(i-m) For advancing the A phase current value of m sampling points, i A(i+m) For backward pushing the A phase current value of m sampling points, m is the forward pushing or backward sampling point number, and Ts is the sampling interval of the device.
Further, the failure protection current criterion is:
S Ai ＝k Ai_q /k Ai_h 。
the technical scheme provided by the embodiment of the invention has the following beneficial technical effects:
aiming at the fact that the current characteristics of a CT after the switch is correctly tripped and the CT after the switch is out of order are different, whether the secondary current of the CT is a trailing current or a fault current is distinguished through a waveform distinguishing algorithm, whether the breaker is out of order is judged rapidly, and the action speed and reliability of failure protection are improved.
Drawings
FIG. 1 is a flowchart of a failure protection discrimination method based on waveform feature recognition provided by an embodiment of the present invention;
FIG. 2 is a logic diagram for discriminating failure protection based on waveform feature recognition provided by an embodiment of the present invention;
FIG. 3 is a block diagram of a failure protection discriminating apparatus based on waveform feature recognition according to an embodiment of the present invention;
FIG. 4 is a block diagram of a computing module provided by an embodiment of the invention.
Reference numerals:
1. the device comprises a calculation module 11, a sampling point selection unit 12, a first calculation unit 13, a second calculation unit 2, a judgment module 3 and a delay control module.
Detailed Description
The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.
Referring to fig. 1 and 2, a first aspect of the embodiment of the present invention provides a failure protection discriminating method based on waveform feature recognition, including the following steps:
step S100, a plurality of sampling points corresponding to phase currents in a preset period are obtained according to the protection jump command phase, the sampling point with the largest current value is calculated, and a corresponding failure protection current criterion is input.
And step 200, when the waveform criterion of the failure protection current of the continuous first preset number of sampling points meets the preset condition, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign.
The above-mentioned discrimination method can take phase A as an example, and other phase algorithms are the same as phase A.
Specifically, in step S100, a failure protection current criterion corresponding to a sampling point with the largest current value among a plurality of sampling points is calculated, which specifically includes:
step S110, selecting a sampling point with the largest current value in a plurality of sampling points, and forward pushing a second preset number of sampling points and backward pushing a second preset number of sampling points;
step S120, calculating the waveform identification coefficient of the corresponding forward pushing sampling point and the waveform identification coefficient of the backward pushing sampling point;
and step S130, calculating failure protection current waveform criteria of the sampling point with the maximum current value according to the waveform identification coefficient.
Specifically, the waveform identification coefficient of the forward push sampling point and the waveform identification coefficient of the backward push sampling point are respectively:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m) )/(m*Ts)
wherein i is Ai_max I is the largest i-th sampling value in the sampling points of the phase A current in the preset period A(i-m) For advancing the A phase current value of m sampling points, i A(i+m) For backward pushing the A phase current value of m sampling points, m is the forward pushing or backward sampling point number, and Ts is the sampling interval of the device. M is generally greater than 3.
For example, a sampling point of 20ms is selected, N sampling points are selected, and the sampling point i of the maximum value is selected Ai_max And calculating the waveform identification coefficients of the forward pushing sampling points and the backward pushing sampling points according to the formula.
Specifically, the failure protection current waveform criteria are:
S Ai ＝k Ai_q /k Ai_h 。
further, when the first preset number (n) of sampling points are continuously judged to satisfy S Ai Above 0, a failure flag flag_sla=1 is set. When n sampling points are continuously judged to meet S Ai And if the current is smaller than 0, judging that the current is a CT trailing current characteristic, and setting a failure flag_SLA=0. Generally, N is greater than or equal to N+1. Wherein, N is the sampling point number of 1 cycle.
Further, before outputting the fail-safe start flag, the method further comprises:
step S210, after failure protection delay, outputting a failure protection start mark.
Taking phase A as an example, when the failure current characteristic sign is 1, after t1 delay confirmation, the failure protection meets the current condition, and then the failure protection is exported through t2 delay.
Accordingly, referring to fig. 3, a second aspect of the embodiment of the present invention provides a failure protection discriminating apparatus based on waveform feature recognition, including:
the calculation module 1 is used for obtaining a plurality of sampling points of corresponding phase currents in a preset period according to a protection skip order, obtaining the sampling point with the largest current value, and inputting a corresponding failure protection current waveform criterion;
and the judging module 2 is used for judging that the circuit breaker is in a failure state when the failure protection current waveform criterion of the continuous first preset number of sampling points meets the preset condition and outputting a failure protection starting mark.
Further, the malfunction protection discrimination device based on waveform feature recognition further includes:
and the delay control module 3 is used for outputting a starting mark of the failure protection after the failure protection delay.
Further, the calculation module 1 includes:
the sampling point selecting unit 11 is used for selecting the sampling point with the largest current value among the plurality of sampling points, forward pushing the second preset number of sampling points and backward pushing the second preset number of sampling points;
a first calculation unit 12 for calculating a waveform identification coefficient of a corresponding forward-push sampling point and a waveform identification coefficient of a backward-push sampling point;
and a second calculation unit 13 for calculating a failure protection current waveform criterion of the sampling point with the largest current value according to the waveform identification coefficient.
Further, the waveform identification coefficient of the forward push sampling point and the waveform identification coefficient of the backward push sampling point are respectively:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m) )/(m*Ts)
wherein, the method comprises the following steps of. i.e Ai_max I is the largest i-th sampling value in the sampling points of the phase A current in the preset period A(i-m) For advancing the A phase current value of m sampling points, i A(i+m) For backward pushing the A phase current value of m sampling points, m is the forward pushing or backward sampling point number, and Ts is the sampling interval of the device.
Further, the failure protection current waveform criteria are:
S Ai ＝k Ai_q /k Ai_h 。
accordingly, a third aspect of the embodiment of the present invention further provides an electronic device, including: at least one processor; and a memory coupled to the at least one processor; the memory stores instructions executable by the one processor, and the instructions are executed by the one processor, so that the at least one processor executes the failure protection discrimination method based on waveform feature recognition.
In addition, a fourth aspect of the embodiment of the present invention further provides a computer readable storage medium, on which computer instructions are stored, which when executed by a processor, implement the above-mentioned failure protection discrimination method based on waveform feature recognition.
The embodiment of the invention aims to protect a failure protection judging method and device based on waveform characteristic recognition, wherein the method comprises the following steps: according to the protection jump command, a plurality of sampling points corresponding to the phase current in a preset period are obtained, the sampling point with the largest current value is calculated, and a corresponding failure protection current waveform criterion is input; when the waveform criterion of the failure protection current of the continuous first preset number of sampling points meets the preset condition, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign. The technical scheme has the following effects:
aiming at the fact that the current characteristics of a CT after the switch is correctly tripped and the CT after the switch is out of order are different, whether the secondary current of the CT is a trailing current or a fault current is distinguished through a waveform distinguishing algorithm, whether the breaker is out of order is judged rapidly, and the action speed and reliability of failure protection are improved.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (8)
1. A failure protection discrimination method based on waveform characteristic recognition is characterized by comprising the following steps:
obtaining a plurality of sampling points corresponding to phase currents in a preset period according to a protection jump command, obtaining the sampling point with the largest current value, and inputting a corresponding failure protection current waveform criterion;
when the waveform criterion of the failure protection currents of the sampling points with the largest continuous first preset number of current values meets preset conditions, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign;
the step of obtaining the sampling point with the largest current value and inputting the corresponding failure protection current waveform criterion comprises the following steps:
selecting one sampling point with the largest current value from the plurality of sampling points, forward pushing the sampling point by a second preset amount, and backward pushing the sampling point by the second preset amount;
calculating the waveform identification coefficient of the corresponding forward sampling point and the waveform identification coefficient of the backward sampling point;
and calculating a failure protection current waveform criterion of the sampling point with the largest current value according to the waveform identification coefficient of the forward pushing sampling point and the waveform identification coefficient of the backward pushing sampling point.
2. The method for discriminating between failure protections based on waveform characteristics identification according to claim 1 wherein said outputting a failure protection enable flag is preceded by:
after the failure protection delay, outputting a starting mark of the failure protection.
3. The method for discriminating between failure protection based on waveform characteristics identification according to claim 1 wherein,
the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point are respectively as follows:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m) )/(m*Ts)
wherein i is Ai_max I is the i sampling value with the largest current value in the sampling points in the preset period A(i-m) I is the current value after forward pushing m sampling points A(i+m) For the current value after pushing back m sampling points, m is the number of forward or backward sampling points, and Ts is the sampling interval of the device.
4. The method for discriminating between failure protection based on waveform characteristics identification according to claim 3 wherein,
the failure protection current waveform criterion is as follows:
S Ai ＝k Ai_q /k Ai_h 。
5. a failure protection discrimination device based on waveform feature recognition, comprising:
the calculation module is used for acquiring a plurality of sampling points corresponding to the phase current in a preset period according to the protection jump command, obtaining the sampling point with the largest current value, and inputting a corresponding failure protection current waveform criterion;
the judging module is used for judging that the circuit breaker is in a failure state when the waveform criterion of the failure protection current of the sampling points with the largest continuous first preset number of current values meets preset conditions and outputting a failure protection starting mark;
the computing module includes:
the sampling point selecting unit is used for selecting the sampling point with the largest current value in the plurality of sampling points, one sampling point after being pushed forward by a second preset number and one sampling point after being pushed backward by the second preset number;
a first calculation unit for calculating a waveform identification coefficient of a corresponding forward-push sampling point and a waveform identification coefficient of a backward-push sampling point;
and the second calculation unit is used for calculating the failure protection current waveform criterion of the sampling point with the largest current value according to the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point.
6. The apparatus for discriminating a malfunction protection based on waveform characteristics identification of claim 5 further comprising:
and the delay control module is used for outputting a starting mark of failure protection after failure protection delay.
7. The apparatus for discriminating a failure protection based on waveform characteristics identification according to claim 5 wherein,
the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point are respectively as follows:
k Ai_q ＝(i Ai_max -i A(i-m) )/(m*Ts)
k Ai_h ＝(i Ai_max -i A(i+m) )/(m*Ts)
wherein i is Ai_max I is the i sampling value with the largest current value in the A phase current sampling points in the preset period A(i-m) For the A phase current value after forward pushing m sampling points, i A(i+m) For the A-phase current value after pushing back m sampling points, m is the number of forward or backward sampling points, and Ts is the sampling interval of the device.
8. The apparatus for discriminating a failure protection based on waveform characteristics identification according to claim 7 wherein,
the failure protection current waveform criterion is as follows:
S Ai ＝k Ai_q /k Ai_h。
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