CN114123130A - Failure protection judgment method and device based on waveform feature recognition - Google Patents
Failure protection judgment method and device based on waveform feature recognition Download PDFInfo
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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
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Abstract
The invention discloses a failure protection judging method and a device based on waveform feature recognition, wherein the method comprises the following steps: acquiring a plurality of sampling points of phase current corresponding to a preset period according to the protection jump phase, acquiring the sampling point with the maximum current value, and inputting a corresponding failure protection current waveform criterion; and when the failure protection current waveform criterion 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 current characteristics of CT are different after the switch is correctly tripped and the switch fails, whether the secondary current of the CT is trailing current or fault current is distinguished through a waveform distinguishing algorithm, whether the circuit breaker fails or not is quickly distinguished, and the action speed and the reliability of failure protection are improved.
Description
Technical Field
The invention relates to the technical field of power equipment relay protection, in particular to a failure protection judging method and device based on waveform feature recognition.
Background
At present, an extra-high voltage alternating current and direct current series-parallel connection pattern is formed in a power grid in China, and due to the influence of direct current commutation failure, if an alternating current system fault cannot be cleared in time, a serious cascading fault of the alternating current and direct current system can be caused. The system has higher and higher requirements on the fault limit cutting time, and also has higher requirements on the action speed of the breaker failure protection. At the moment when the short-circuit current is cut off, 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 is attenuated according to the time constant of a secondary loop as an exponential function. The energy generated by the exciting current and stored in the secondary winding of the CT is gradually released through a loop consisting of a secondary resistor and an inductor, and the trailing condition of the secondary current of the CT is inevitably formed. The current tailing influence of a CT secondary circuit is considered, the action delay of the existing failure protection is generally set to be longer, and the action time can not meet the requirement of safety and stability 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 feature recognition, which are used for distinguishing whether CT secondary current is trailing current or fault current by a waveform judging algorithm aiming at the difference between current features of CT after a switch is correctly tripped and the switch fails, so that whether a breaker fails or not is quickly judged, and the action speed and the reliability of failure protection are improved.
In order to solve the above technical problem, a first aspect of an embodiment of the present invention provides a failure protection determination method based on waveform feature recognition, including the following steps:
acquiring a plurality of sampling points of corresponding phase current in a preset period according to the protection jump phase, acquiring the sampling point with the maximum current value, and inputting a corresponding failure protection current waveform criterion;
and when the failure protection current waveform criterion of the continuous first preset number of sampling points meets a preset condition, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign.
Further, before outputting the fail-safe enable flag, the method further includes:
and outputting a starting mark of the failure protection after the failure protection is delayed.
Further, the calculating the sampling point with the maximum current value and putting a corresponding failure protection current waveform criterion comprises:
selecting the sampling point with the maximum current value in the plurality of sampling points, pushing the sampling points in a second preset number forwards, and pushing the sampling points in the second preset number backwards;
calculating the waveform identification coefficient of the corresponding forward-pushing sampling point and the waveform identification coefficient of the backward-pushing 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:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein iAi_maxIs the largest ith sampling value i in the sampling points of the phase current of A in the preset periodA(i-m)For advancing the A-phase current value of m sampling points, iA(i+m)The A-phase current value of m sampling points is pushed back, m is the number of sampling points pushed forward or backward, and Ts is the sampling interval of the device.
Further, the failure protection current criterion is as follows:
SAi＝kAi_q/kAi_h。
accordingly, a second aspect of the embodiments of the present invention provides a failure protection determination device based on waveform feature recognition, including:
the calculation module is used for acquiring a plurality of sampling points corresponding to phase current in a preset period according to a protection jump order to obtain a failure protection current waveform criterion corresponding to the sampling point with the maximum current value;
and the judging module is used for judging that the circuit breaker is in a failure state and outputting a failure protection starting sign when the failure protection current waveform criterion of the continuous first preset number of sampling points meets a preset condition.
Further, the failure protection judging device based on waveform feature recognition further comprises:
and the delay control module is used for outputting a starting mark of the failure protection after the failure protection is delayed.
Further, the calculation 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 the sampling points in a second preset number forwards and pushing the sampling points in the second preset number backwards;
the first calculating unit is used for calculating the waveform identification coefficient of the corresponding forward-push sampling point and the waveform identification coefficient of the corresponding 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:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein iAi_maxIs the largest ith sampling value i in the sampling points of the A phase current in the preset periodA(i-m)For advancing the A-phase current value of m sampling points, iA(i+m)The A-phase current value of m sampling points is pushed back, m is the number of sampling points pushed forward or backward, and Ts is the sampling interval of the device.
Further, the failure protection current criterion is as follows:
SAi＝kAi_q/kAi_h。
the technical scheme of the embodiment of the invention has the following beneficial technical effects:
the current characteristics of CT are different after the switch is correctly tripped and the switch fails, whether the secondary current of the CT is trailing current or fault current is distinguished through a waveform distinguishing algorithm, whether the circuit breaker fails or not is quickly distinguished, and the action speed and the reliability of failure protection are improved.
Drawings
FIG. 1 is a flow chart of a failure protection determination method based on waveform feature recognition according to an embodiment of the present invention;
FIG. 2 is a diagram of failure protection discrimination logic based on waveform feature recognition provided by an embodiment of the present invention;
FIG. 3 is a block diagram of a failure protection determination device based on waveform feature recognition according to an embodiment of the present invention;
fig. 4 is a block diagram of a computing module provided in an embodiment of the present 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
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Referring to fig. 1 and fig. 2, a first aspect of the embodiments of the present invention provides a failure protection determination method based on waveform feature recognition, including the following steps:
and S100, acquiring a plurality of sampling points of corresponding phase current in a preset period according to the protection jump phase, calculating the sampling point with the maximum current value, and inputting a corresponding failure protection current criterion.
And S200, when the failure protection current waveform criterion of the continuous first preset number of sampling points meets a 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 be exemplified by phase A, and the algorithms of other phases are the same as phase A.
Specifically, in step S100, calculating a failure protection current criterion corresponding to a sampling point with a maximum current value among a plurality of sampling points, specifically includes:
step S110, selecting a sampling point with the maximum current value from a plurality of sampling points, and pushing the sampling points forward by a second preset number and pushing the sampling points backward by the second preset number;
step S120, calculating the waveform identification coefficient of the corresponding forward-pushing sampling point and the waveform identification coefficient of the corresponding backward-pushing sampling point;
and step S130, calculating a failure protection current waveform criterion of the sampling point with the maximum current value according to the waveform identification coefficient.
Specifically, the waveform identification coefficient of the forward sampling point and the waveform identification coefficient of the backward sampling point are respectively:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein iAi_maxIs the largest ith sampling value i in the sampling points of the A phase current in the preset periodA(i-m)For advancing the A-phase current value of m sampling points, iA(i+m)The A-phase current value of m sampling points is pushed back, m is the number of sampling points pushed forward or backward, and Ts is the sampling interval of the device. And m is generally greater than 3.
For example, a cycle of 20ms is selected, N samples are selected, and the maximum value of the samples i is selectedAi_maxAnd pushing m sampling points forwards and pushing m sampling points backwards, and calculating the waveform identification coefficient of the forward pushing sampling point and the waveform identification coefficient of the backward pushing sampling point according to the formula.
Specifically, the criterion of the failure protection current waveform is as follows:
SAi＝kAi_q/kAi_h。
further, when the continuous judgment that the first preset number (n) of sampling points all satisfy SAiIf the value is greater than 0, the failure flag _ SLA is set to 1. When n sampling points are continuously judged to all satisfy SAiAnd if the current is less than 0, judging the current as the CT trailing current characteristic, and setting a failure flag _ SLA to be 0. Generally, N is greater than or equal to N + 1. Wherein N is the number of sampling points of 1 cycle.
Further, before outputting the fail-safe enable flag, the method further includes:
and step S210, outputting a starting sign of the failure protection after the failure protection is delayed.
Taking phase a as an example, when the failure current signature is 1, after t1 delay confirmation, the failure protection satisfies the current condition, and the exit is delayed by t 2.
Accordingly, referring to fig. 3, a second aspect of the embodiments of the present invention provides a failure protection determination device based on waveform feature recognition, including:
the calculation module 1 is used for acquiring a plurality of sampling points of corresponding phase current in a preset period according to a protection jump command, acquiring the sampling point with the maximum 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 and outputting a failure protection starting sign when the failure protection current waveform criterion of the continuous first preset number of sampling points meets the preset condition.
Further, the failure protection judging device based on waveform feature recognition further comprises:
and the delay control module 3 is used for outputting a starting mark of the failure protection after the failure protection is delayed.
Further, the calculation module 1 comprises:
the sampling point selecting unit 11 is used for selecting the sampling point with the maximum current value from the plurality of sampling points, and pushing the sampling points in the second preset number forwards and pushing the sampling points in the second preset number backwards;
a first calculating 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 the second calculating unit 13 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:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein, the flow rate of the water is controlled by the control unit. i.e. iAi_maxIs the largest ith sampling value i in the sampling points of the A phase current in the preset periodA(i-m)For advancing the A-phase current value of m sampling points, iA(i+m)The A-phase current value of m sampling points is pushed back, m is the number of sampling points pushed forward or backward, and Ts is the sampling interval of the device.
Further, the criterion of the failure protection current waveform is as follows:
SAi＝kAi_q/kAi_h。
accordingly, a third aspect of the embodiments of the present invention further provides an electronic device, including: at least one processor; and a memory coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform the above described glitch protection determination method based on waveform signature recognition.
Furthermore, a fourth aspect of the embodiments of the present invention also provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions, when executed by a processor, implement the above failure protection determination method based on waveform feature recognition.
The embodiment of the invention aims to protect a failure protection judging method and a device based on waveform feature recognition, wherein the method comprises the following steps: acquiring a plurality of sampling points corresponding to phase current in a preset period according to a protection jump order, calculating the sampling point with the maximum current value, and inputting a corresponding failure protection current waveform criterion; and when the failure protection current waveform criterion 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:
the current characteristics of CT are different after the switch is correctly tripped and the switch fails, whether the secondary current of the CT is trailing current or fault current is distinguished through a waveform distinguishing algorithm, whether the circuit breaker fails or not is quickly distinguished, and the action speed and the reliability of failure protection are improved.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A failure protection judgment method based on waveform feature recognition is characterized by comprising the following steps:
acquiring a plurality of sampling points of corresponding phase current in a preset period according to the protection jump phase, acquiring the sampling point with the maximum current value, and inputting a corresponding failure protection current waveform criterion;
and when the failure protection current waveform criterion of the continuous first preset number of sampling points meets a preset condition, judging that the circuit breaker is in a failure state, and outputting a failure protection starting sign.
2. The method for determining the malfunction protection based on waveform characteristic recognition according to claim 1, wherein before outputting the malfunction protection activation flag, the method further comprises:
and outputting a starting mark of the failure protection after the failure protection is delayed.
3. The failure protection judging method based on waveform feature identification as claimed in claim 1, wherein the obtaining of the sampling point with the largest current value and putting into a corresponding failure protection current waveform criterion comprises:
selecting the sampling point with the maximum current value in the plurality of sampling points, pushing the sampling points in a second preset number forwards, and pushing the sampling points in the second preset number backwards;
calculating the waveform identification coefficient of the corresponding forward-pushing sampling point and the waveform identification coefficient of the backward-pushing 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.
4. The failure protection discrimination method based on waveform feature recognition according to claim 3,
the waveform identification coefficient of the forward pushing sampling point and the waveform identification coefficient of the backward pushing sampling point are respectively as follows:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein iAi_maxIs the ith sampling value i with the maximum current value in the sampling points in the preset periodA(i-m)For advancing the current values of m sampling points, iA(i+m)The current values of m sampling points are pushed back, m is the number of sampling points pushed forward or pulled back, and Ts is the sampling interval of the device.
5. The failure protection discrimination method based on waveform feature recognition according to claim 1,
the failure protection current waveform criterion is as follows:
SAi＝kAi_q/kAi_h。
6. a failure protection discriminating device based on waveform feature recognition, comprising:
the calculation module is used for acquiring a plurality of sampling points corresponding to phase current in a preset period according to a protection jump order, acquiring the sampling point with the maximum medium current value, and inputting a corresponding failure protection current waveform criterion;
and the judging module is used for judging that the circuit breaker is in a failure state and outputting a failure protection starting sign when the failure protection current waveform criterion of the continuous first preset number of sampling points meets a preset condition.
7. The apparatus for determining malfunction protection based on waveform feature recognition according to claim 6, further comprising:
and the delay control module is used for outputting a starting mark of the failure protection after the failure protection is delayed.
8. The apparatus for determining malfunction protection based on waveform feature recognition according to claim 6, wherein the calculation module comprises:
the sampling point selecting unit is used for selecting the sampling point with the largest current value in the plurality of sampling points, pushing the sampling points in a second preset number forwards and pushing the sampling points in the second preset number backwards;
the first calculating unit is used for calculating the waveform identification coefficient of the corresponding forward-push sampling point and the waveform identification coefficient of the corresponding 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.
9. The apparatus for determining malfunction protection based on waveform feature recognition according to claim 6,
the waveform identification coefficient of the forward pushing sampling point and the waveform identification coefficient of the backward pushing sampling point are respectively as follows:
kAi_q＝(iAi_max-iA(i-m))/(m*Ts)
kAi_h＝(iAi_max-iA(i+m))/(m*Ts)
wherein iAi_maxThe ith sampling value i with the maximum current value in the sampling points of the phase current of A in the preset periodA(i-m)For advancing the A-phase current value of m sampling points, iA(i+m)The A-phase current value of m sampling points is pushed back, m is the number of sampling points pushed forward or backward, and Ts is the sampling interval of the device. Ts is the sampling interval of the device
10. The apparatus for determining malfunction protection based on waveform feature recognition according to claim 6,
the failure protection current waveform criterion is as follows:
SAi＝kAi_q/kAi_h。
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2254216A2 (en) * | 2009-05-21 | 2010-11-24 | LS Industrial Systems Co., Ltd | Abnormal current detecting circuit for circuit breaker |
| CN105866511A (en) * | 2016-05-27 | 2016-08-17 | 国电南瑞科技股份有限公司 | Method for recognizing trailing currents based on adjacent sampling point specific values of current wave forms |
| CN105914714A (en) * | 2016-05-16 | 2016-08-31 | 国电南瑞科技股份有限公司 | Method based on current waveform recognition for preventing failure protection maloperation of circuit breaker |
| CN108832603A (en) * | 2018-06-15 | 2018-11-16 | 许继集团有限公司 | Breaker failure method of discrimination based on least square method, control method and device |
| CN110119696A (en) * | 2019-04-26 | 2019-08-13 | 三峡大学 | Current transformer tail currents recognizer based on wave character difference |
| CN111505435A (en) * | 2020-04-10 | 2020-08-07 | 三峡大学 | Current transformer trailing current identification method based on Frechet distance algorithm |
| CN111610388A (en) * | 2020-07-16 | 2020-09-01 | 三峡大学 | Current transformer trailing current identification method based on current comprehensive characteristics |
| CN113363953A (en) * | 2021-06-17 | 2021-09-07 | 北京四方继保工程技术有限公司 | Method for inhibiting malfunction of fault-removing differential protection by means of hysteresis characteristics |
-
2021
- 2021-11-24 CN CN202111418676.9A patent/CN114123130B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2254216A2 (en) * | 2009-05-21 | 2010-11-24 | LS Industrial Systems Co., Ltd | Abnormal current detecting circuit for circuit breaker |
| CN105914714A (en) * | 2016-05-16 | 2016-08-31 | 国电南瑞科技股份有限公司 | Method based on current waveform recognition for preventing failure protection maloperation of circuit breaker |
| CN105866511A (en) * | 2016-05-27 | 2016-08-17 | 国电南瑞科技股份有限公司 | Method for recognizing trailing currents based on adjacent sampling point specific values of current wave forms |
| CN108832603A (en) * | 2018-06-15 | 2018-11-16 | 许继集团有限公司 | Breaker failure method of discrimination based on least square method, control method and device |
| CN110119696A (en) * | 2019-04-26 | 2019-08-13 | 三峡大学 | Current transformer tail currents recognizer based on wave character difference |
| CN111505435A (en) * | 2020-04-10 | 2020-08-07 | 三峡大学 | Current transformer trailing current identification method based on Frechet distance algorithm |
| CN111610388A (en) * | 2020-07-16 | 2020-09-01 | 三峡大学 | Current transformer trailing current identification method based on current comprehensive characteristics |
| CN113363953A (en) * | 2021-06-17 | 2021-09-07 | 北京四方继保工程技术有限公司 | Method for inhibiting malfunction of fault-removing differential protection by means of hysteresis characteristics |
Non-Patent Citations (1)
| Title |
|---|
| 万洛飞;李志坚;宋斌;龙锋;赵瑞辰;: "一种基于拖尾电流识别的失灵保护实现", 电力系统保护与控制, vol. 45, no. 11, pages 89 - 94 * |
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