CN110596534A - Fault detection method and system of power internet of things and computer storage medium - Google Patents
Fault detection method and system of power internet of things and computer storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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Abstract
The invention relates to the technical field of Internet of things, and discloses a fault detection method and system of an electric Internet of things and a computer storage medium, which are used for improving the detection accuracy. The method comprises the following steps: converting a sinusoidal current signal which is in a linear relation with primary current into a direct current waveform containing a pulsating component by using a current transformer and a bridge rectifier circuit; performing voltage conversion, analog-to-digital conversion and related data processing on the direct current waveform to calculate an abrupt current initial value, an abrupt current duration and an abrupt delayed current value corresponding to a primary current; and judging whether the detected line has an interphase short-circuit fault or an externally applied signal source ground short-circuit fault according to the sudden change current initial value, the sudden change current duration and the current value after the sudden change delay combined with the reference sudden change current threshold and the sudden change current duration threshold, and if so, reporting related fault information.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a fault detection method and system of an electric Internet of things and a computer storage medium.
Background
The power supply line in China is mostly exposed to outdoor places with severe environments and is influenced by various adverse factors and conditions all the year round, so that the fault of the line occurs sometimes.
For the automation of the power distribution network, the real-time acquisition of the network information data and the automatic processing of the fault information are functions that must be implemented first. Therefore, the invention discloses a fault detection method and system of a power internet of things and a computer storage medium.
Disclosure of Invention
The invention aims to disclose a fault detection method, a fault detection system and a computer storage medium of a power internet of things, so as to improve the detection accuracy.
In order to achieve the purpose, the fault detection method of the power internet of things disclosed by the invention comprises the following steps:
converting a sinusoidal current signal which is in a linear relation with primary current into a direct current waveform containing a pulsating component by using a current transformer and a bridge rectifier circuit;
performing voltage conversion, analog-to-digital conversion and related data processing on the direct current waveform to calculate an abrupt current initial value, an abrupt current duration and an abrupt delayed current value corresponding to a primary current;
judging whether the detected line has an interphase short-circuit fault or an externally applied signal source ground short-circuit fault according to the sudden change current initial value, the sudden change current duration time and the current value after the sudden change delay combined with the reference sudden change current threshold value and the sudden change current duration threshold value, and if so, reporting related fault information;
the conditions corresponding to the judgment of the interphase short-circuit fault are as follows:
the initial value of the mutation current is not 0, the mutation current value is greater than a set mutation current threshold value, the mutation current duration is greater than a set first mutation current duration threshold value and less than a set second mutation current duration threshold value, and the current value after mutation delay is 0;
the conditions corresponding to the judgment of the grounding short circuit of the externally applied signal source are as follows:
the sudden change current initial value and the current value after the sudden change delay are not 0, the sudden change current value is smaller than a set sudden change current threshold, the sudden change current duration is smaller than a set second sudden change current duration threshold, and the current value is periodic.
Corresponding to the method, the embodiment also discloses a fault detection system of the power internet of things, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor is connected with the current transformer through the bridge rectifier circuit, and the steps of the method are realized when the processor executes the computer program.
Similarly, the present invention also discloses a computer storage medium having a computer program stored thereon, wherein the program realizes the steps of the above method when being executed by a processor.
The invention has the following beneficial effects:
and carrying out fault diagnosis according to the sudden change current initial value, the sudden change current duration time, and the sudden change current threshold value, the first sudden change current duration threshold value and the second sudden change current duration threshold value of the current value after the sudden change delay combined reference, and ensuring the accuracy of the detection result through the combined diagnosis of the multidimensional information. Confusion with the following false fault types can be effectively avoided, and the related false fault types include:
A. simulating a pseudo fault corresponding to a sudden load inrush current waveform of a line, and judging the conditions as follows: the initial value of the mutation current is 0, and the current value after mutation delay is not 0;
B. simulating a pseudo fault corresponding to a non-fault reclosing waveform, wherein the judgment conditions are as follows: the abrupt current initial value is 0;
C. simulating a pseudo fault corresponding to the instantaneous sudden change waveform of the load, and judging the conditions as follows: after sudden change and time delay, the current is not 0, and the periodicity is not satisfied and the external signal source ground short circuit fault is distinguished;
D. simulating a pseudo fault corresponding to a manual switching heavy load waveform, wherein the judgment conditions are as follows: the sudden change duration time exceeds a set second sudden change current duration threshold;
E. simulating a pseudo fault corresponding to a no-load closing magnetizing inrush current waveform, and judging the conditions as follows: the abrupt current initial value is 0;
F. simulating a pseudo fault corresponding to the minimum non-action current waveform, and judging the conditions as follows: the abrupt current value is smaller than the set abrupt current threshold value.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a fault detection method for an electric power internet of things according to an embodiment of the invention.
Fig. 2 is a structural diagram of a sampling circuit according to an embodiment of the present invention.
Fig. 3 is a schematic waveform diagram corresponding to the determination of the inter-phase short-circuit fault according to the embodiment of the present invention.
Fig. 4 is a schematic waveform diagram corresponding to determining a short circuit of an external signal source.
Fig. 5 to 10 are schematic diagrams of waveforms of six kinds of false faults which should not act.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example one
The embodiment discloses a fault detection method for an electric power internet of things.
As shown in fig. 1, the method of this embodiment includes the following steps:
and step S1, converting the sinusoidal current signal which is in linear relation with the primary current into a direct current waveform containing a pulsating component by using a current transformer and a bridge rectifier circuit.
Step S2, performing voltage conversion, analog-to-digital conversion and related data processing on the dc current waveform to calculate an abrupt current initial value, an abrupt current duration and an abrupt delayed current value corresponding to the primary current.
In this step, the calculator for data processing may employ a single chip microcomputer. A related sampling circuit based on a current transformer may be as shown in fig. 2, and specifically includes: the current transformer P1, bridge rectifier circuit, converting resistor R9 and filter capacitor C10, bridge rectifier circuit is used for converting the sinusoidal current signal that the current transformer output and primary current are linear to the direct current waveform that contains the pulsation component, and converting resistor R9 is used for converting the direct current signal to the direct current voltage signal, and the output end of voltage signal is connected with the AD port of singlechip, and filter capacitor C10 and converting resistor R9 are parallelly connected between voltage signal output end and ground terminal. The single chip microcomputer is used for obtaining a voltage signal of the AD port, calculating the current magnitude of the corresponding phase line after analog-to-digital conversion, and performing curve fitting to judge whether a fault occurs according to the change rule of the current.
And step S3, judging whether the detected line has an interphase short-circuit fault or an externally applied signal source ground short-circuit fault according to the sudden change current initial value, the sudden change current duration and the current value after the sudden change delay combined with the reference sudden change current threshold and the sudden change current duration threshold, and if so, reporting related fault information.
In this embodiment, the abrupt current threshold is a reference amount of amplitude change of the current value before and after the abrupt change, the abrupt current duration threshold is a reference amount for measuring the abrupt current duration, and the abrupt current duration threshold includes a first abrupt current threshold and a second abrupt current threshold. The specific parameter setting of the relevant threshold value can be obtained according to a statistical empirical value. Typically, the first abrupt current continuation threshold takes a value greater than or equal to 30 milliseconds and less than a second abrupt current continuation threshold, which is lower than 3 seconds and greater than or equal to 1 second.
In step S3, the conditions for determining the inter-phase short-circuit fault are: the initial value of the sudden change current is not 0, the sudden change current value is larger than a set sudden change current threshold value, the duration time of the sudden change current is larger than a set first sudden change current duration threshold value and smaller than a set second sudden change current duration threshold value, and the current value after the sudden change delay is 0.
In the invention, the sudden change current threshold is used for measuring the change amplitude before and after the current sudden change (corresponding to I in the figure)1、I2The difference therebetween), which may be generally set at 100A, the rush current continuation threshold is less than 3 seconds and greater than or equal to 1 second. An example waveform corresponding to an inter-phase short-circuit fault is shown in fig. 3, for example: the following three cases can be determined as interphase short-circuit faults:
the first condition is as follows: i is1＝10A、I2＝160A、Δt＝0.5s
Case two: i is1＝10A、I2＝610A、Δt＝40ms
Case three: i is1＝500A、I2＝700A、Δt＝0.5s
The external signal source grounding short circuit fault is characterized in that a characteristic wave signal is injected into a fault line through a signal source, and the characteristic wave signal is transmitted along the line until the position of the fault point is connected into a grounding loop. The characteristic waveform is shown in fig. 4. In step S3, the conditions for determining the short circuit to the ground of the external signal source are: the sudden change current initial value and the current value after the sudden change delay are not 0, the sudden change current value is smaller than a set sudden change current threshold, the sudden change current duration is smaller than a set second sudden change current duration threshold, and the current value is periodic. In other words, the joint use of this multidimensional data makes its essence: it is detected whether the current waveform in the line is consistent with a given applied signal source waveform. Correspondingly, the injection of the external signal source can be adapted according to the fault determination condition in the embodiment.
Corresponding to the external signal source
Further, the method of this embodiment further includes:
step S4, eliminating the following false fault types which should not act, wherein the false fault types comprise any one or any combination of the following:
A. simulating a pseudo fault corresponding to a sudden load inrush current waveform of a line, and judging the conditions as follows: the abrupt current initial value is 0 and the abrupt delayed current value is not 0. The associated analog waveform is shown in FIG. 5, if the following is the caseThe following conditions: i is1＝610A、I2When the time is 10A and Δ t is 0.2s, it can be determined that the pseudo fault corresponds to the inrush load waveform of the analog line inrush current.
B. Simulating a pseudo fault corresponding to a non-fault reclosing waveform, wherein the judgment conditions are as follows: the abrupt current starting value is 0. The correlation simulation waveform is shown in fig. 6, if the following: i is110A, current I after closing2When the time period is 610A and Δ t is 0.5s, it can be determined that the simulated non-fault phase reclosing waveform corresponds to the false fault.
C. Simulating a pseudo fault corresponding to the instantaneous sudden change waveform of the load, and judging the conditions as follows: and after sudden change and time delay, the current is not 0, and the periodicity is not satisfied, and the external signal source ground short circuit fault is distinguished. The correlation simulation waveform is shown in fig. 7, if: i is1＝10A、I2If the periodicity is not satisfied, the pseudo fault corresponding to the instantaneous sudden change waveform of the analog load can be determined.
D. Simulating a pseudo fault corresponding to a manual switching heavy load waveform, wherein the judgment conditions are as follows: the abrupt change duration exceeds a set second abrupt change current duration threshold. The correlation simulation waveform is shown in fig. 8, if the following: i is1＝10A、I2610A, Δ t 3s, current I after closing2When the time is 610A and the time is Δ t is 0.5s, the pseudo fault corresponding to the simulated manual switching large-load waveform can be determined.
E. Simulating a pseudo fault corresponding to a no-load closing magnetizing inrush current waveform, and judging the conditions as follows: the abrupt current starting value is 0. The correlation simulation waveform is shown in fig. 8, if the following: i is1When the time is 600A and Δ t is 0.2s, the pseudo fault corresponding to the simulated no-load closing magnetizing inrush current waveform can be determined.
F. Simulating a pseudo fault corresponding to the minimum non-action current waveform, and judging the conditions as follows: the abrupt current value is smaller than the set abrupt current threshold value. The correlation simulation waveform is shown in fig. 8, if the following: i is1＝10A、I2When the analog minimum steady-state current waveform is equal to 80A and Δ t is equal to 0.2s, it can be determined as a false fault.
Further, this embodiment further includes: and dynamically updating the abrupt current threshold, the first abrupt current continuous threshold and the second abrupt current continuous threshold according to a remote instruction. Therefore, the parameter setting of the grounding gas can be flexibly carried out according to different application environments, and the detection precision of the system is further improved.
Example two
Corresponding to the above embodiments, the embodiment discloses a fault detection system of an electric power internet of things, which includes a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor is connected with a current transformer through a bridge rectifier circuit, and the processor implements relevant steps of the above method embodiments when executing the computer program.
EXAMPLE III
In correspondence with the above embodiments, the present embodiment discloses a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the relevant steps in the above method embodiments.
In summary, the fault detection method, system and computer storage medium for the power internet of things disclosed in the embodiments of the present invention at least have the following beneficial effects:
fault diagnosis is carried out according to the sudden change current initial value, the sudden change current duration time, the sudden change current threshold value of the current value after sudden change delay combined reference, the first sudden change current duration threshold value and the second sudden change current duration threshold value, so that false faults corresponding to simulated lower-path sudden change load inrush current waveforms, simulated non-fault reclosing phase waveforms, simulated load transient sudden change waveforms, simulated manual switching large-load waveforms, simulated no-load switching excitation inrush current waveforms, simulated minimum non-action current waveforms and the like can be effectively avoided from being mixed up, and the accuracy of detection results is ensured through the multi-dimensional information combined diagnosis.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A fault detection method of an electric power Internet of things is characterized by comprising the following steps:
converting a sinusoidal current signal which is in a linear relation with primary current into a direct current waveform containing a pulsating component by using a current transformer and a bridge rectifier circuit;
performing voltage conversion, analog-to-digital conversion and related data processing on the direct current waveform to calculate an abrupt current initial value, an abrupt current duration and an abrupt delayed current value corresponding to a primary current;
judging whether the detected line has an interphase short-circuit fault or an externally applied signal source ground short-circuit fault according to the sudden change current initial value, the sudden change current duration time and the current value after the sudden change delay combined with the reference sudden change current threshold value and the sudden change current duration threshold value, and if so, reporting related fault information;
the conditions corresponding to the judgment of the interphase short-circuit fault are as follows:
the initial value of the mutation current is not 0, the mutation current value is greater than a set mutation current threshold value, the mutation current duration is greater than a set first mutation current duration threshold value and less than a set second mutation current duration threshold value, and the current value after mutation delay is 0;
the conditions corresponding to the judgment of the grounding short circuit of the externally applied signal source are as follows:
the sudden change current initial value and the current value after the sudden change delay are not 0, the sudden change current value is smaller than a set sudden change current threshold, the sudden change current duration is smaller than a set second sudden change current duration threshold, and the current value is periodic.
2. The fault detection method of the power internet of things as claimed in claim 1, further comprising eliminating the following false fault types which should not be acted, wherein the false fault types include any one or any combination of the following:
A. simulating a pseudo fault corresponding to a sudden load inrush current waveform of a line, and judging the conditions as follows: the initial value of the mutation current is 0, and the current value after mutation delay is not 0;
B. simulating a pseudo fault corresponding to a non-fault reclosing waveform, wherein the judgment conditions are as follows: the abrupt current initial value is 0;
C. simulating a pseudo fault corresponding to the instantaneous sudden change waveform of the load, and judging the conditions as follows: after sudden change and time delay, the current is not 0, and the periodicity is not satisfied and the external signal source ground short circuit fault is distinguished;
D. simulating a pseudo fault corresponding to a manual switching heavy load waveform, wherein the judgment conditions are as follows: the sudden change duration time exceeds a set second sudden change current duration threshold;
E. simulating a pseudo fault corresponding to a no-load closing magnetizing inrush current waveform, and judging the conditions as follows: the abrupt current initial value is 0;
F. simulating a pseudo fault corresponding to the minimum non-action current waveform, and judging the conditions as follows: the abrupt current value is smaller than the set abrupt current threshold value.
3. The fault detection method of the power internet of things as claimed in claim 1 or 2, further comprising:
the abrupt current threshold and the first and second abrupt current persistence thresholds are dynamically updated according to a remote command.
4. A fault detection system of an electric power internet of things, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor is connected with a current transformer through a bridge rectifier circuit, and the processor executes the computer program to realize the steps of the method of any one of claims 1 to 3.
5. A computer storage medium having a computer program stored thereon, wherein the program is adapted to perform the steps of any of the methods of claims 1 to 3 when executed by a processor.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505441A (en) * | 2020-04-29 | 2020-08-07 | 国网湖南省电力有限公司 | Short-circuit fault judgment method and system for small-load current circuit and fault indicator |
| CN113900039A (en) * | 2021-08-20 | 2022-01-07 | 中国铁路设计集团有限公司 | Cable on-line monitoring method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4411522A (en) * | 1980-03-28 | 1983-10-25 | Udaras Na Gaeltachta | Apparatus for the inspection of translucent containers |
| CN102998582A (en) * | 2012-11-16 | 2013-03-27 | 宁海县供电局 | Detection method of distributing line phase short circuit fault and single phase grounding fault |
| CN107121622A (en) * | 2017-06-16 | 2017-09-01 | 山东电工电气集团新能科技有限公司 | The method that novel fault is indicated system and earth fault is indicated using the system |
| CN107179476A (en) * | 2017-06-08 | 2017-09-19 | 华北电力大学 | A kind of Distribution Network Failure distance-finding method |
| CN108427087A (en) * | 2018-02-05 | 2018-08-21 | 国网江西省电力有限公司电力科学研究院 | A kind of Novel fault indicator detection platform |
| CN109490691A (en) * | 2018-11-15 | 2019-03-19 | 湖南长高思瑞自动化有限公司 | Signal identification type fault detector and Fault Locating Method are applied outside a kind of |
| WO2020059066A1 (en) * | 2018-09-20 | 2020-03-26 | 中国電力株式会社 | Ground fault point locating device, ground fault point locating system, ground fault point locating method, program, and recording medium |
| CN114039330A (en) * | 2021-09-08 | 2022-02-11 | 浙江悍客电气有限公司 | High-reliability intermediate relay |
-
2019
- 2019-09-18 CN CN201910879037.9A patent/CN110596534A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4411522A (en) * | 1980-03-28 | 1983-10-25 | Udaras Na Gaeltachta | Apparatus for the inspection of translucent containers |
| CN102998582A (en) * | 2012-11-16 | 2013-03-27 | 宁海县供电局 | Detection method of distributing line phase short circuit fault and single phase grounding fault |
| CN107179476A (en) * | 2017-06-08 | 2017-09-19 | 华北电力大学 | A kind of Distribution Network Failure distance-finding method |
| CN107121622A (en) * | 2017-06-16 | 2017-09-01 | 山东电工电气集团新能科技有限公司 | The method that novel fault is indicated system and earth fault is indicated using the system |
| CN108427087A (en) * | 2018-02-05 | 2018-08-21 | 国网江西省电力有限公司电力科学研究院 | A kind of Novel fault indicator detection platform |
| WO2020059066A1 (en) * | 2018-09-20 | 2020-03-26 | 中国電力株式会社 | Ground fault point locating device, ground fault point locating system, ground fault point locating method, program, and recording medium |
| CN109490691A (en) * | 2018-11-15 | 2019-03-19 | 湖南长高思瑞自动化有限公司 | Signal identification type fault detector and Fault Locating Method are applied outside a kind of |
| CN114039330A (en) * | 2021-09-08 | 2022-02-11 | 浙江悍客电气有限公司 | High-reliability intermediate relay |
Non-Patent Citations (4)
| Title |
|---|
| 杜栋梁: "10KV架空线路故障指示器的研制", 《万方》 * |
| 肖开伟 等: "故障指示器的检测及应用", 《软件》 * |
| 胡凡君: "10KV线路自适应状态诊断系统研究", 《中国硕士学位论文全文数据库 工程科技II辑》 * |
| 陈洪礼 等: "《可控硅控制系统》", 30 June 1988, 内蒙古人民出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505441A (en) * | 2020-04-29 | 2020-08-07 | 国网湖南省电力有限公司 | Short-circuit fault judgment method and system for small-load current circuit and fault indicator |
| CN113900039A (en) * | 2021-08-20 | 2022-01-07 | 中国铁路设计集团有限公司 | Cable on-line monitoring method and device |
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