CN114047394B - Method for identifying grid interference disturbance fault caused by lightning stroke - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 208000025274 Lightning injury Diseases 0.000 title claims abstract description 39
- 238000010586 diagram Methods 0.000 claims abstract description 21
- 238000010606 normalization Methods 0.000 claims abstract description 8
- 230000000630 rising effect Effects 0.000 claims description 21
- 230000009466 transformation Effects 0.000 claims description 19
- 208000028659 discharge Diseases 0.000 description 38
- 238000011426 transformation method Methods 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- APTZNLHMIGJTEW-UHFFFAOYSA-N pyraflufen-ethyl Chemical compound C1=C(Cl)C(OCC(=O)OCC)=CC(C=2C(=C(OC(F)F)N(C)N=2)Cl)=C1F APTZNLHMIGJTEW-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention discloses a method for identifying grid interference disturbance faults caused by lightning stroke, which comprises the following steps: step S1: acquiring a voltage detail signal waveform diagram of grid interference disturbance; step S2: judging the grid interference disturbance according to the voltage detail signal waveform diagram obtained in the step S1, ending the flow if judging that the grid interference disturbance is caused by a non-lightning stroke reason, otherwise, entering the step S3; step S3: drawing an energy distribution curve after normalization processing, judging grid interference disturbance according to the energy distribution curve, ending the flow if judging that the grid interference disturbance is caused by a non-lightning cause, otherwise, entering step S4; step S4: and carrying out grid interference disturbance fault judgment by combining the weather condition when the grid is in interference. The invention provides a method for identifying grid interference disturbance faults caused by lightning stroke, which is used for detecting and judging the grid interference disturbance faults caused by lightning stroke from multiple dimensions and has extremely high identification accuracy.
Description
Technical Field
The invention relates to the field of power grid fault identification, in particular to a method for identifying power grid interference faults caused by lightning strokes.
Background
The grid interference fault refers to a phenomenon that a grid is subjected to factors such as lightning stroke, wind blowing, short circuit and the like to cause short-time faults of the grid, so that obvious fluctuation, flicker or short-time power failure and rapid recovery of the grid voltage occur. In addition, the faults caused by lightning strike in the grid interference faults account for a large proportion, and when the grid interference faults caused by lightning strike occur, corresponding compensation measures are needed, so that the method has important significance for identifying the grid interference faults caused by lightning strike.
At present, in the prior art, a single identification mode exists for identifying a grid interference fault caused by lightning strike, so that the problem of low accuracy is caused, for example, a method for identifying voltage sag caused by lightning strike disclosed in Chinese patent literature, the bulletin number CN109270333B of which comprises the following steps: s1: acquiring a bus voltage signal from an electric energy quality monitoring device of a transformer substation; s2: calculating effective value voltage, and judging a starting point and an ending point of voltage sag; s3: calculating a voltage sag amplitude Vsag, wherein if Vsag is larger than a threshold value and a high-frequency component exists at the voltage sag end point, the voltage sag amplitude is other disturbance reasons; if Vsag is smaller than the threshold value or the voltage sag end point has no high-frequency component, the step S4 is entered; s4: performing wavelet transformation on the busbar voltage signal to obtain a detail component and calculating signal energy; s5: if the signal energy of the high frequency band exists, the signal energy is a fault caused by lightning stroke; if the signal energy of the high frequency band is not available, the signal energy is a common short circuit fault; s6: and (5) ending the judgment. The method uses the voltage signal collected by the existing power quality monitoring device to identify, and does not need to add a traveling wave detection device or other detection devices, so that the method saves a great deal of cost and better utilizes the data collected by the power quality monitoring device, but does not solve the problems that the identification mode is single and the accuracy is low in fault identification.
Disclosure of Invention
The invention provides a method for identifying grid interference disturbance faults caused by lightning stroke, which is used for detecting and judging the grid interference disturbance faults caused by lightning stroke from multiple dimensions and has extremely high identification accuracy, so as to solve the problem of low accuracy caused by single identification mode in the identification of the grid interference disturbance faults caused by lightning stroke in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
A method of identifying grid lightning interference disturbance caused by a lightning strike, comprising the steps of: step S1: acquiring a voltage detail signal waveform diagram of grid interference disturbance; step S2: judging according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S1; step S3: drawing an energy distribution curve after normalization processing, and judging according to the obtained energy distribution curve after normalization processing; step S4: and judging by combining the weather condition when the power grid is in interference with electricity. When lightning stroke causes grid interference disturbance fault, lightning traveling wave propagates in the grid, voltage of each node in the grid can fluctuate due to propagation of traveling wave, after the lightning stroke causes grid fault, power frequency short circuit current will cause propagation of grid voltage disturbance, and therefore grid node voltage presents a double-section disturbance waveform of rising and then falling; when other faults occur on the power grid, the voltage waveform of the power grid usually does not have the fluctuation, but is a single-section disturbance waveform which directly rises or directly falls, the invention grasps the characteristics of the voltage waveform of the power grid caused by lightning stroke to judge, and the weather condition is combined for analysis, so that the reason of the grid interference disturbance fault is judged, the method detects and judges the grid interference disturbance fault caused by lightning strike from multiple dimensions, and the identification accuracy is improved.
As a preferred embodiment of the present invention, the step S1 includes the steps of: step S11: obtaining a voltage signal of grid interference disturbance by using a second-order Butterworth filter; step S12: and (3) performing wavelet transformation on the voltage signal of the grid interference disturbance obtained in the step (S11) to obtain a voltage detail signal waveform diagram of the grid interference disturbance. The second-order Baud Wo Sigao pass filter ensures the rapidity and accuracy of extracting the voltage signal of the grid interference disturbance, the wavelet transformation method has good positioning characteristics in the time domain and the frequency domain, and the time window width and the frequency window can be effectively adjusted, so that the method is very sensitive to a specific point of an original signal, the disturbance point of the voltage waveform is a singular point to be detected, and the wavelet transformation method is very suitable for detecting the dynamic electric energy quality.
As a preferred embodiment of the present invention, the step S2 includes the steps of: step S21: judging whether the voltage disturbance is a double-section disturbance according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S12, and if so, entering the step S22; otherwise, the grid interference fault caused by the non-lightning stroke is caused; step S22: judging the starting time and the ending time of the voltage disturbance according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S12, so as to calculate the duration of the first section of voltage disturbance, and entering the step S3 if the duration of the first section of voltage disturbance is within a preset disturbance time range; otherwise, the grid interference fault caused by the non-lightning stroke is caused. When lightning stroke causes grid interference disturbance fault, lightning traveling wave propagates in the grid, voltage of each node in the grid can fluctuate due to propagation of traveling wave, after the lightning stroke causes grid fault, power frequency short circuit current will cause propagation of grid voltage disturbance, and therefore grid node voltage presents a double-section disturbance waveform of rising and then falling; the lightning strike discharge process is divided into stage-shaped pilot discharge, arrow-shaped pilot discharge, main discharge and residual light discharge, and as the power grid is hit in the discharge process, the power grid voltage generates rising fluctuation, namely the first-stage voltage disturbance, and the duration of the lightning strike discharge process is very short, so that the time of the first-stage voltage disturbance is very short; in step S2, according to the characteristics of the voltage disturbance waveform generated by lightning strike, the voltage detail signal waveform diagram of grid interference disturbance is combined, and the reason is judged from the two aspects of whether the voltage disturbance is a double-section disturbance waveform and the time of the first-section voltage disturbance, so that the theoretical basis is strong and the accuracy is high.
As a preferred embodiment of the present invention, the step S3 includes the steps of: step S31: performing wavelet transformation on the voltage signal of the grid interference disturbance obtained in the step S11, performing wavelet transformation on the standard sinusoidal working voltage signal of the grid to obtain energy distribution of wavelet coefficients of the wavelet transformation, drawing an energy distribution curve, and performing normalization processing on the energy distribution curve; step S32: judging according to the normalized energy distribution curve obtained in the step S31, and if the first section of voltage disturbance is a voltage convex disturbance and the second section of voltage disturbance is a voltage concave disturbance, entering the step S4; otherwise, the grid interference fault caused by the non-lightning stroke is caused. In step S3, according to the characteristics of the voltage disturbance waveform generated by the lightning stroke, the reason is determined by combining the normalized energy distribution curve from the characteristics of whether the voltage disturbance is a dual-segment disturbance waveform that rises first and then falls.
As a preferred embodiment of the present invention, the step S4 includes the steps of: judging according to the weather condition of the power grid when the power grid is subjected to the interference of the electric power, and judging that the power grid is subjected to interference of the electric power caused by lightning stroke if the power grid is subjected to the interference of the electric power, namely, the weather possibly striking thunder such as overcast and rainy days or thunder and rainy days; if the power grid is in a weather which is not likely to strike thunder, such as a sunny day, the power grid is judged to be in a power-shaking disturbance fault caused by a non-lightning stroke. And S4, analyzing according to weather conditions, combining the possibility of lightning striking in the weather, and judging the reason of the grid interference disturbance fault.
As a preferable scheme of the invention, the preset disturbance time range in the step S22 is 0-171 milliseconds. The lightning strike discharge process is divided into stage-shaped pilot discharge, arrow-shaped pilot discharge, main discharge and residual light discharge, and as the power grid is hit in the discharge process, rising fluctuation is generated in the power grid voltage, namely, the first-stage voltage disturbance is generated, the duration of the lightning strike discharge process is very short, the duration of the stage-shaped pilot discharge stage is about 5-20 milliseconds, the duration of the arrow-shaped pilot discharge stage is about 1 millisecond, the duration of the main discharge stage is about 0.05-0.1 millisecond, the duration of the residual light discharge stage is about 30-50 milliseconds, the lightning strike can have three impact stages to dozens of impact stages, the excessive impact is the arrow-shaped pilot discharge, the time of the first-stage voltage disturbance is very short, and in 171 milliseconds, the step S22 in the method is to realize the reason judgment of the power grid shaking electric disturbance fault according to the duration of the first-stage voltage disturbance.
As a preferred embodiment of the present invention, the basis for determining the start time and the end time of the voltage disturbance in step S22 is: the moment when the effective value voltage rises to 1.1p.u or the effective value voltage drops to 0.9p.u is the starting time of voltage disturbance; the time at which the effective voltage drops to 1.1p.u or the effective voltage rises to 0.9p.u is the end time of the voltage disturbance. And (2) obtaining the starting time and the ending time of the voltage disturbance according to the judging basis of the starting time and the ending time of the voltage disturbance, so as to calculate the duration of the voltage disturbance, compare the duration of the voltage disturbance of the first section with the preset disturbance time range in the step S22, and further judge the cause of the interference fault of the power grid.
As a preferred embodiment of the present invention, the wavelet transform in the step S31 is Daubechies 4 wavelet 9-layer transform. The method comprises the steps of performing Daubechies 4 wavelet 9-layer transformation on a voltage signal of grid interference disturbance and a standard sinusoidal working voltage signal, calculating high-frequency coefficient energy of each layer of the voltage signal of the grid interference disturbance and the standard sinusoidal working voltage signal, making a normalized energy distribution curve, and performing comparison analysis to judge the cause of grid interference disturbance faults.
As a preferred embodiment of the present invention, the judgment basis of the voltage rising disturbance and the voltage falling disturbance in the step S32 is: the voltage rising disturbance is that the effective value voltage rises to 1.1-1.8 p.u, and the voltage falling disturbance is that the effective value voltage drops to 0.1-0.9 p.u. And according to the judgment basis of the voltage rising disturbance and the voltage falling disturbance, obtaining a waveform diagram of the power grid voltage rising disturbance and the voltage falling disturbance, further obtaining the type and the duration of the voltage disturbance, and carrying out comparison analysis so as to judge the cause of the power grid interference disturbance fault.
Therefore, the invention has the following beneficial effects: according to the method, the grid interference disturbance fault caused by lightning strike is detected and judged in multiple dimensions, and the identification accuracy is extremely high.
Drawings
FIG. 1 is a flow chart of a method of identifying grid lightning interference faults caused by lightning strikes in accordance with the present invention;
FIG. 2 is a voltage detail waveform diagram of a grid ringing fault caused by a lightning strike;
FIG. 3 is a graph of voltage energy distribution for grid lightning interference faults caused by lightning strikes.
Detailed Description
The invention is further described below with reference to the drawings and detailed description.
As shown in fig. 1, a method for identifying grid interference and disturbance caused by lightning strike includes the following steps: step S1: acquiring a voltage detail signal waveform diagram of grid interference disturbance; step S2: judging according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S1; step S3: drawing an energy distribution curve after normalization processing, and judging according to the obtained energy distribution curve after normalization processing; step S4: and judging by combining the weather condition when the power grid is in interference with electricity.
Step S1 comprises the steps of: step S11: obtaining a voltage signal of grid interference disturbance by using a second-order Butterworth filter; step S12: and (3) performing wavelet transformation on the voltage signal of the grid interference disturbance obtained in the step (S11) to obtain a voltage detail signal waveform diagram of the grid interference disturbance.
Step S2 comprises the steps of: step S21: judging whether the voltage disturbance is a double-section disturbance according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S12, and if so, entering the step S22; otherwise, the grid interference fault caused by the non-lightning stroke is caused; step S22: judging the starting time and the ending time of the voltage disturbance according to the voltage detail signal waveform diagram of the grid interference disturbance obtained in the step S12, so as to calculate the duration of the first section of voltage disturbance, and entering the step S3 if the duration of the first section of voltage disturbance is within a preset disturbance time range; otherwise, the grid interference fault caused by the non-lightning stroke is caused.
Step S3 comprises the steps of: step S31: performing wavelet transformation on the voltage signal of the grid interference disturbance obtained in the step S11, performing wavelet transformation on the standard sinusoidal working voltage signal of the grid to obtain energy distribution of wavelet coefficients of the wavelet transformation, drawing an energy distribution curve, and performing normalization processing on the energy distribution curve; step S32: judging according to the normalized energy distribution curve obtained in the step S31, and if the first section of voltage disturbance is a voltage convex disturbance and the second section of voltage disturbance is a voltage concave disturbance, entering the step S4; otherwise, the grid interference fault caused by the non-lightning stroke is caused.
Step S4 comprises the steps of: judging according to the weather condition of the power grid when the power grid is subjected to the interference of the electric power, and judging that the power grid is subjected to interference of the electric power caused by lightning stroke if the power grid is subjected to the interference of the electric power, namely, the weather possibly striking thunder such as overcast and rainy days or thunder and rainy days; if the power grid is in a weather which is not likely to strike thunder, such as a sunny day, the power grid is judged to be in a power-shaking disturbance fault caused by a non-lightning stroke.
When lightning stroke causes grid interference disturbance fault, lightning traveling wave propagates in the grid, voltage of each node in the grid can fluctuate due to propagation of traveling wave, after the lightning stroke causes grid fault, power frequency short circuit current will cause propagation of grid voltage disturbance, and therefore grid node voltage presents a double-section disturbance waveform of rising and then falling; when other faults occur on the power grid, the voltage waveform of the power grid usually does not have the fluctuation, but is a single-section disturbance waveform which directly rises or directly falls, the invention grasps the characteristics of the voltage waveform of the power grid caused by lightning stroke to judge, and the weather condition is combined for analysis, so that the reason of the grid interference disturbance fault is judged, the method detects and judges the grid interference disturbance fault caused by lightning strike from multiple dimensions, and the identification accuracy is improved.
The second-order Baud Wo Sigao pass filter ensures the rapidity and accuracy of extracting the voltage signal of the grid interference disturbance, the wavelet transformation method has good positioning characteristics in the time domain and the frequency domain, and the time window width and the frequency window can be effectively adjusted, so that the method is very sensitive to a specific point of an original signal, the disturbance point of the voltage waveform is a singular point to be detected, and the wavelet transformation method is very suitable for detecting the dynamic electric energy quality.
When lightning stroke causes grid interference disturbance fault, lightning traveling wave propagates in the grid, voltage of each node in the grid can fluctuate due to propagation of traveling wave, after the lightning stroke causes grid fault, power frequency short circuit current will cause propagation of grid voltage disturbance, and therefore grid node voltage presents a double-section disturbance waveform of rising and then falling; the lightning strike discharge process is divided into stage-shaped pilot discharge, arrow-shaped pilot discharge, main discharge and residual light discharge, and as the power grid is hit in the discharge process, the power grid voltage generates rising fluctuation, namely the first-stage voltage disturbance, and the duration of the lightning strike discharge process is very short, so that the time of the first-stage voltage disturbance is very short; in step S2, according to the characteristics of the voltage disturbance waveform generated by lightning strike, the voltage detail signal waveform diagram of grid interference disturbance is combined, and the reason is judged from the two aspects of whether the voltage disturbance is a double-section disturbance waveform and the time of the first-section voltage disturbance, so that the theoretical basis is strong and the accuracy is high.
In step S3, according to the characteristics of the voltage disturbance waveform generated by the lightning stroke, the reason is determined by combining the normalized energy distribution curve from the characteristics of whether the voltage disturbance is a dual-segment disturbance waveform that rises first and then falls.
And S4, analyzing according to weather conditions, combining the possibility of lightning striking in the weather, and judging the reason of the grid interference disturbance fault.
The predetermined disturbance time range in step S22 is 0 to 171 ms. The lightning strike discharge process is divided into stage-shaped pilot discharge, arrow-shaped pilot discharge, main discharge and residual light discharge, and as the power grid is hit in the discharge process, rising fluctuation is generated in the power grid voltage, namely, the first-stage voltage disturbance is generated, the duration of the lightning strike discharge process is very short, the duration of the stage-shaped pilot discharge stage is about 5-20 milliseconds, the duration of the arrow-shaped pilot discharge stage is about 1 millisecond, the duration of the main discharge stage is about 0.05-0.1 millisecond, the duration of the residual light discharge stage is about 30-50 milliseconds, the lightning strike can have three impact stages to dozens of impact stages, the excessive impact is the arrow-shaped pilot discharge, the time of the first-stage voltage disturbance is very short, and in 171 milliseconds, the step S22 in the method is to realize the reason judgment of the power grid shaking electric disturbance fault according to the duration of the first-stage voltage disturbance.
The basis for distinguishing the start time and the end time of the voltage disturbance in step S22 is as follows: the moment when the effective value voltage rises to 1.1p.u or the effective value voltage drops to 0.9p.u is the starting time of voltage disturbance; the time at which the effective voltage drops to 1.1p.u or the effective voltage rises to 0.9p.u is the end time of the voltage disturbance. And (2) obtaining the starting time and the ending time of the voltage disturbance according to the judging basis of the starting time and the ending time of the voltage disturbance, so as to calculate the duration of the voltage disturbance, compare the duration of the voltage disturbance of the first section with the preset disturbance time range in the step S22, and further judge the cause of the interference fault of the power grid.
The wavelet transform in step S31 is a Daubechies 4 wavelet 9-layer transform. The method comprises the steps of performing Daubechies 4 wavelet 9-layer transformation on a voltage signal of grid interference disturbance and a standard sinusoidal working voltage signal, calculating high-frequency coefficient energy of each layer of the voltage signal of the grid interference disturbance and the standard sinusoidal working voltage signal, making a normalized energy distribution curve, and performing comparison analysis to judge the cause of grid interference disturbance faults.
The judgment basis of the voltage rising disturbance and the voltage falling disturbance in the step S32 is as follows: the voltage rising disturbance is that the effective value voltage rises to 1.1-1.8 p.u, and the voltage falling disturbance is that the effective value voltage drops to 0.1-0.9 p.u. And according to the judgment basis of the voltage rising disturbance and the voltage falling disturbance, obtaining a waveform diagram of the power grid voltage rising disturbance and the voltage falling disturbance, further obtaining the type and the duration of the voltage disturbance, and carrying out comparison analysis so as to judge the cause of the power grid interference disturbance fault.
The method of the invention is described below in connection with a specific example:
The voltage signal of the grid interference disturbance is obtained by a second-order Bart Wo Sigao pass filter, the voltage signal is subjected to wavelet transformation, a voltage detail signal waveform diagram of the grid interference disturbance is output, as shown in figure 2, the voltage signal of the grid interference disturbance is expressed as a singular signal, the wavelet transformation has zooming capability, the signal can be localized in time and frequency at the same time, the wavelet transformation of the singular signal has a wavelet coefficient maximum value at a singular point, the occurrence time of the disturbance can be determined by observing the model maximum value point, and as can be seen from figure 2, the voltage signal has double-section disturbance, and the subsequent steps can be continued; the first section of voltage disturbance, namely voltage convex disturbance, starts at 0.1 seconds and ends at 0.2 seconds, the second section of voltage disturbance, namely voltage concave disturbance, starts at 0.2 seconds and ends at 0.38 seconds, wherein the duration of the first section of voltage disturbance is about 0.1 seconds, namely 100 milliseconds, the duration of the voltage disturbance is less than 171 milliseconds, and the subsequent steps can be continued; the method comprises the steps of performing Daubechies 4 wavelet 9-layer transformation on an obtained voltage signal of grid interference disturbance and a standard sinusoidal working voltage signal, respectively calculating energy of each layer of high-frequency coefficient to obtain energy distribution of wavelet coefficients of wavelet transformation, drawing an energy distribution curve, normalizing the energy distribution curve to obtain an energy distribution curve as shown in fig. 3, wherein the first-stage voltage disturbance, namely, the reference energy distribution curve with voltage rising is higher than the sinusoidal working voltage reference energy distribution curve, the second-stage voltage disturbance, namely, the reference energy distribution curve with voltage falling is lower than the sinusoidal working voltage reference energy distribution curve, and the method can be used for judging whether the type of the voltage disturbance is the voltage rising disturbance or the voltage falling disturbance according to the energy distribution curve, and continuing the subsequent steps after the first-stage voltage disturbance is the voltage rising disturbance and the second-stage voltage disturbance is the voltage falling disturbance according to the requirement; combining the weather conditions when the grid interference disturbance faults occur, and judging the grid interference disturbance faults caused by lightning stroke reasons if the grid interference disturbance is a possible thunderbolt weather such as overcast and rainy days or thunderbolt days; if the power grid is in a sunny day or the like and lightning striking is impossible, judging that the power grid is in a lightning striking disturbance fault caused by a non-lightning strike reason, and ending the whole method flow.
Claims (7)
1. A method of identifying grid lightning interference disturbance caused by a lightning strike, comprising the steps of:
step S1: acquiring a voltage detail signal waveform diagram of grid interference disturbance;
step S2: judging whether the voltage disturbance is a double-section disturbance according to a voltage detail signal waveform diagram of the grid interference disturbance, if yes, judging the starting time and the ending time of the voltage disturbance, calculating the duration time of the first-section voltage disturbance, if the duration time of the first-section voltage disturbance is within a preset disturbance time range, entering a step S3, otherwise, judging that the grid interference disturbance is caused by a non-lightning stroke reason, and ending the flow;
Step S3: performing wavelet transformation on the voltage signal of the grid interference disturbance and the standard sinusoidal working voltage signal to obtain a wavelet coefficient energy distribution curve of the wavelet transformation and performing normalization processing; judging the grid interference disturbance fault according to the obtained normalized energy distribution curve, if the first section of voltage disturbance is a voltage upward disturbance and the second section of voltage disturbance is a voltage downward disturbance, entering a step S4, otherwise, judging the grid interference disturbance fault caused by a non-lightning stroke reason, and ending the flow;
step S4: and carrying out grid interference disturbance fault judgment by combining the weather condition when the grid is in interference, and ending the flow.
2. A method of identifying grid lightning interference faults caused by lightning strikes according to claim 1, characterised in that said step S1 comprises the steps of:
Step S11: obtaining a voltage signal of grid interference disturbance by using a second-order Butterworth filter;
step S12: and carrying out wavelet transformation on the voltage signal of the grid interference disturbance to obtain a voltage detail signal waveform diagram of the grid interference disturbance.
3. A method of identifying grid lightning interference faults caused by lightning strikes according to claim 1, characterised in that said step S4 comprises the steps of:
Judging according to the weather condition of the power grid when the power grid is subjected to interference caused by lightning, and judging that the power grid is subjected to interference caused by lightning stroke if the power grid is subjected to interference caused by lightning as possible; if the power grid is in the weather that lightning strike is impossible when the power grid is in the interference, judging that the power grid is in the interference fault caused by the non-lightning strike reason.
4. A method of identifying grid lightning interference faults caused by lightning strikes according to claim 1 characterised in that the predetermined period of disturbance is in the range 0 to 171 milliseconds.
5. The method for identifying grid interference disturbance caused by lightning according to claim 1, wherein the basis for distinguishing the starting time and the ending time of the voltage disturbance is as follows: the moment when the effective value voltage rises to 1.1p.u or the effective value voltage drops to 0.9p.u is the starting time of voltage disturbance; the time at which the effective voltage drops to 1.1p.u or the effective voltage rises to 0.9p.u is the end time of the voltage disturbance.
6. A method of identifying grid lightning interference faults caused by lightning strikes according to claim 1 characterised in that the wavelet transform is a Daubechies 4 wavelet layer 9 transform.
7. The method for identifying grid interference faults caused by lightning strokes according to claim 1, wherein the judgment basis of the voltage rising disturbance and the voltage falling disturbance is as follows: the voltage rising disturbance is that the effective value voltage rises to 1.1-1.8 p.u, and the voltage falling disturbance is that the effective value voltage drops to 0.1-0.9 p.u.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05227650A (en) * | 1992-02-14 | 1993-09-03 | Ngk Insulators Ltd | Lightning failure detection device |
| CN103529332A (en) * | 2013-10-28 | 2014-01-22 | 昆明理工大学 | Ultra-high voltage direct current transmission line lightning stroke interference recognition method based on voltage relevancy and wavelet transformation transient state energy distribution characteristics |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05227650A (en) * | 1992-02-14 | 1993-09-03 | Ngk Insulators Ltd | Lightning failure detection device |
| CN103529332A (en) * | 2013-10-28 | 2014-01-22 | 昆明理工大学 | Ultra-high voltage direct current transmission line lightning stroke interference recognition method based on voltage relevancy and wavelet transformation transient state energy distribution characteristics |
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