CN115327300A - Fault initial point positioning method and system based on wave recording file analysis - Google Patents
Fault initial point positioning method and system based on wave recording file analysis Download PDFInfo
- Publication number
- CN115327300A CN115327300A CN202211039938.5A CN202211039938A CN115327300A CN 115327300 A CN115327300 A CN 115327300A CN 202211039938 A CN202211039938 A CN 202211039938A CN 115327300 A CN115327300 A CN 115327300A
- Authority
- CN
- China
- Prior art keywords
- fault
- point
- waveform data
- starting point
- zero
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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
- G01R31/088—Aspects of digital computing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a fault starting point positioning method and system based on wave recording file analysis, which comprises the following steps of S1: analyzing the wave recording file to obtain fault waveform data; s2: carrying out Fourier transform on the fault waveform data to find out a fault judgment reference point; s3: locking the fault interval within two cycles according to the fault judgment reference point; s4: and determining a fault starting point by using a third-order difference method in the locked fault interval. The method and the device have the advantages that the fault finding time is greatly shortened, the fault initial point and the fault position are accurately found, the problem that the difficulty in positioning the single-phase grounding fault point is increased due to a large amount of electric equipment in the power grid is solved, the safe operation of the power system is further ensured, and the power supply reliability is improved.
Description
Technical Field
The invention relates to the technical field of power distribution network fault monitoring, in particular to a fault starting point positioning method and system based on wave recording file analysis.
Background
The distribution network is located the electric wire netting end, directly faces the user, and its operational aspect directly influences user's power consumption and experiences. The single-phase earth fault is a fault which is common in a power distribution network system and is formed by connecting a certain point in a line with the ground due to internal or external reasons, such as insulation damage, tree lap joint and the like. 10kV power distribution networks in China are mostly in a low-current grounding mode, and the low-current grounding mode comprises a neutral point grounding mode through an arc suppression coil and a neutral point ungrounded mode. Under the low current grounding mode, after a single-phase grounding fault occurs on the 10kV side of the distribution network, the line voltage amplitude and the phase difference of the system are still unchanged, and the electric equipment on the low-voltage side can normally operate, so that the operation reliability of the distribution network is favorably ensured. However, step voltage, arc grounding overvoltage and the like caused by partial grounding faults are easy to cause interphase short circuit, electrical fire and even human casualty accidents, so that fault line selection and isolation need to be rapidly carried out after single-phase grounding faults occur. As power systems scale up, a large number of consumers penetrate into the grid, making location of points of failure more difficult. In order to improve the operation safety of the power distribution network, simultaneously make secondary analysis and other work of faults and effectively improve the positioning accuracy, deep analysis on the characteristics of the ground fault of the low-current grounding system is necessary, and a corresponding fault positioning method is explored.
In view of this, the present application is specifically made.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a large amount of electric equipment in the power grid increases the positioning difficulty of single-phase earth fault points. The fault starting point is determined by utilizing three-order difference for the locked fault interval, and the fault position is quickly and accurately found.
The invention is realized by the following technical scheme:
on the one hand, the method comprises the following steps of,
the invention provides a fault starting point positioning method based on wave recording file analysis, which comprises the following steps of:
s1: analyzing the wave recording file to obtain fault waveform data;
s2: carrying out Fourier transform on the fault waveform data to find out a fault judgment reference point;
s3: locking the fault section within two cycles according to the fault judgment datum point;
s4: and determining a fault starting point by using a third-order difference method in the locked fault interval.
In a further aspect of the present invention,
before the step S2, the method comprises the following steps: and interpolating the fault waveform data according to a five-point linear smoothing algorithm.
In a further aspect of the present invention,
the S2 comprises the following steps:
s21: for each cycle in the fault waveform data, performing Fourier transform on a zero sequence voltage value in the cycle to obtain a corresponding fundamental effective value;
s22: according to the sequence of the multiple cycles in the fault waveform data, sequentially subtracting the effective values of the fundamental waves corresponding to the adjacent cycles to obtain multiple difference values;
s23: and finding out a first point position corresponding to the maximum value of the difference values in the fault waveform data, and taking the first point position as a fault judgment reference point.
Further, in the above-mentioned case,
the S3 comprises the following steps: and respectively extracting the most adjacent cycle before and after the fault judgment reference point from the fault waveform data, and taking the two extracted cycles as fault sections.
Further, in the above-mentioned case,
the S4 comprises the following steps:
s41: carrying out third-order difference on the two extracted cyclic waves to obtain a plurality of zero-sequence voltage third-order differences;
s42: finding out a second point position corresponding to the maximum value of the absolute values of the three-order differences of the plurality of zero-sequence voltages in the fault waveform data;
s43: and starting from the starting end of the locked fault interval, sequentially judging whether the absolute value of each sampling point is more than 0.5 time of the absolute value of the second point location or not backwards, and taking the sampling point of which the first absolute value is more than 0.5 time of the absolute value of the second point location as the starting point of the fault.
Further, in the above-mentioned case,
the fault starting point positioning method based on the wave recording file analysis further comprises the following steps of S5: judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault.
In a further aspect of the present invention,
the S5 comprises the following steps:
s51: from the starting point of the fault, carrying out data sampling on the zero-sequence voltage and the zero-sequence current backwards;
s52: calculating a correlation coefficient of the first order difference of the zero sequence voltage and the zero sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault.
In a further aspect of the present invention,
the correlation coefficient is calculated by:
wherein, the first and the second end of the pipe are connected with each other,
the first-order difference of the zero-sequence voltage is represented,
represents the mean value of zero sequence voltage, I 0k Representing a zero sequence current.
On the other hand, in the case of a liquid,
the invention provides a fault initial point positioning system based on wave recording file analysis, which comprises:
the file analysis module is used for analyzing the wave recording file to obtain fault waveform data;
the interpolation module is used for interpolating the fault waveform data according to a five-point linear smoothing algorithm;
the data processing module is used for carrying out Fourier transform on the fault waveform data and finding out a fault judgment reference point;
the interval locking module is used for locking the fault interval within two cycles according to the fault judgment reference point;
the fault starting point judging module is used for determining a fault starting point by utilizing a three-order difference method in a locked fault interval;
the fault type judging module is used for judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault.
Further, in the above-mentioned case,
the data processing module comprises:
the Fourier transform unit is used for carrying out Fourier transform on a zero sequence voltage value in the cycle wave to obtain a corresponding fundamental wave effective value aiming at each cycle wave in the fault waveform data;
the difference value calculating unit is used for sequentially subtracting the effective values of the fundamental waves corresponding to the adjacent cycles according to the sequence of the multiple cycles in the fault waveform data to obtain multiple difference values;
a reference point selecting unit, configured to find a first point location corresponding to a maximum value of the multiple difference values in the fault waveform data, and use the first point location as a fault determination reference point;
the zone locking module includes:
a cycle extraction unit configured to extract, from the fault waveform data, the most adjacent cycle before and after the fault determination reference point, and use the two extracted cycles as a fault section;
the failure starting point judging module comprises:
the third-order difference processing unit is used for carrying out third-order difference on the two extracted cyclic waves to obtain a plurality of zero-sequence voltage third-order differences and finding out a second point position of the maximum value of the absolute values of the plurality of zero-sequence voltage third-order differences, wherein the maximum value corresponds to the second point position in the fault waveform data;
a fault starting point judging unit, configured to sequentially judge, from a starting end of the locked fault interval, backward whether an absolute value of each sampling point is greater than 0.5 times an absolute value of the second point location, and use a sampling point whose first absolute value is greater than 0.5 times the absolute value of the second point location as a fault starting point;
the fault type judging module comprises:
the data sampling unit is used for carrying out data sampling on the zero-sequence voltage and the zero-sequence current from the starting point of the fault backwards;
the fault type judging unit is used for calculating a correlation coefficient of the first-order difference of the zero-sequence voltage and the zero-sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault.
Compared with the prior art, the invention has the following advantages and beneficial effects: (1) The fault interval is locked within two cycles by performing Fourier transform on the fault waveform data, so that the fault finding time is greatly shortened; on the basis of locking a fault interval, a three-order difference method is utilized to determine a corresponding point position of the maximum value of the zero-sequence voltage three-order difference absolute value in fault waveform data, and a sampling point value in the fault interval is compared with the absolute value of the zero-sequence voltage three-order difference corresponding point position, so that a fault starting point is quickly found, and the problem that the positioning difficulty of a single-phase grounding fault point is increased due to a large amount of electric equipment in a power grid is solved. (2) By sampling data of the zero-sequence voltage and the zero-sequence current and calculating the correlation coefficient of the first-order difference of the zero-sequence voltage and the zero-sequence current, the fault type (an internal fault or an external fault) can be quickly judged according to whether the correlation coefficient value is greater than zero, the fault position can be accurately found, the fault can be quickly eliminated, the safe operation of a power system is ensured, and the power supply reliability is improved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other related drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic flowchart of a fault starting point positioning method based on wave recording file analysis according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a fault recording file provided in embodiment 1 of the present invention;
fig. 3 is a schematic structural diagram of a fault starting point positioning system based on recording file analysis according to embodiment 3 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
As power systems scale up, a large number of consumers penetrate into the grid, making location of points of failure more difficult. In order to improve the operation safety of the power distribution network, the work of secondary analysis of faults and the like is simultaneously carried out, the positioning accuracy is effectively improved, the characteristics of the ground fault of the low-current grounding system are deeply analyzed, and a corresponding fault positioning method is particularly important to explore.
In view of this, the present embodiment provides a method for positioning a fault starting point based on wave recording file analysis as shown in fig. 1, including the following steps:
s1: and analyzing the wave recording file to obtain fault waveform data.
S2: and interpolating the fault waveform data according to a five-point linear smoothing algorithm.
The principle of five-point linear fitting de-differencing is to fit a curve with five-point data to calculate the function value of each unknown point. The method selects five points around, removes the maximum value and the minimum value to calculate the average of the remaining three points, and makes the adjacent points become smooth, the essence is to calculate the function value of the unknown point by fitting a straight line by using the least square method, and the method belongs to a mean value filtering. And removing singular points which can influence the final judgment result in the wave recording file through filtering.
S3: and carrying out Fourier transform on the fault waveform data to find out a fault judgment reference point. The method comprises the following steps:
s31: for each cycle in the fault waveform data, performing Fourier transform on a zero sequence voltage value in the cycle to obtain a corresponding fundamental effective value;
s32: according to the sequence of the multiple cycles in the fault waveform data, sequentially subtracting the effective values of the fundamental waves corresponding to the adjacent cycles to obtain multiple difference values;
s33: and finding out a first point position corresponding to the maximum value of the plurality of difference values in the fault waveform data, and taking the first point position as a fault judgment reference point.
Fourier transform is an important algorithm in the field of digital signal processing. The Fourier principle shows that: any continuously measured time sequence or signal can be represented as an infinite superposition of sine wave signals of different frequencies. The fourier transform algorithm created according to this principle uses the directly measured raw signal to calculate the frequency, amplitude and phase of the different sinusoidal signals in the signal in an additive manner. From the eye of modern mathematics, the fourier transform is a special integral transform. It can represent a certain function satisfying a certain condition as a linear combination or integral of sinusoidal basis functions.
Fig. 2 is a schematic diagram of a fault recording file. In the wave recording file, 128 sampling points are totally arranged in each cycle, from sampling point 1, each 128 sampling point (1-128, 2-129, 3-130 \8230; 8230; is a group), the zero sequence voltage value of each group of sampling points is subjected to Fourier transform, then the difference comparison is sequentially carried out on the transformed fundamental wave effective values, and the point obtained at the maximum difference value is specified to be used as a reference point judged by the next algorithm. The fourier transform formula is:
wherein a is n And b n Is the amplitude of the real frequency component.
S4: and locking the fault interval within two cycles according to the fault judgment reference point.
The specific mode is as follows: respectively extracting the most adjacent cycle (256 sampling points in total) before and after the fault judgment reference point from the fault waveform data; and taking the two extracted cycles as a fault interval, thereby locking the fault interval within the two cycles.
S5: and in the locked fault interval, determining a fault starting point by using a third-order difference method. The method comprises the following steps:
s51: carrying out third-order difference on the two extracted cyclic waves to obtain a plurality of zero-sequence voltage third-order differences;
s52: finding out a second point position corresponding to the maximum value of the absolute values of the three-order differences of the plurality of zero sequence voltages in the fault waveform data; the third order difference is calculated as:
wherein, U 0 Representing zero sequence voltage, and k is a counting value.
S53: and starting from the starting end of the locked fault interval, sequentially judging whether the absolute value of each sampling point is more than 0.5 time of the absolute value of the second point location backwards, and taking the sampling point of which the first absolute value is more than 0.5 time of the absolute value of the second point location as the starting point of the fault.
In addition, in order to quickly determine the fault location, the method for locating the fault starting point based on the wave recording file analysis further includes S6: judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault. Namely:
s61: from the starting point of the fault, carrying out data sampling on the zero sequence voltage and the zero sequence current backwards;
s62: calculating a correlation coefficient of the first order difference of the zero sequence voltage and the zero sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault. Wherein the content of the first and second substances,
the calculation formula for solving the zero sequence voltage first order difference is as follows:
U 0 representing zero sequence voltage, and k is a counting value.
The correlation coefficient is calculated as:
wherein the content of the first and second substances,
the first-order difference of the zero-sequence voltage is represented,
represents the mean value of zero sequence voltage, I 0k Representing a zero sequence current.
In summary, according to the fault starting point positioning method based on wave recording file analysis provided by the embodiment, the fault waveform data is subjected to fourier transform, so that the fault interval is locked within two cycles, and the fault finding time is greatly shortened; on the basis of locking a fault interval, a corresponding point position of the maximum value of the absolute value of the zero-sequence voltage three-order difference in the fault waveform data is determined by using a three-order difference method, and a mode of comparing a sampling point value in the fault interval with the absolute value of the zero-sequence voltage three-order difference corresponding point position is adopted to realize the rapid finding of a fault starting point, so that the problem that the positioning difficulty of a single-phase grounding fault point is increased due to a large amount of electric equipment in a power grid is solved. In addition, the data sampling is carried out on the zero sequence voltage and the zero sequence current, the correlation coefficient of the zero sequence voltage first order difference and the zero sequence current is calculated, the fault type (the internal fault or the external fault) is rapidly judged according to the fact that whether the correlation coefficient value is larger than zero or not, the fault position can be accurately found, the fault can be rapidly eliminated, the safe operation of the power system is ensured, and the power supply reliability is improved.
Example 2
Corresponding to embodiment 1, this embodiment provides an implementation manner of each implementation step in a computer of a fault starting point positioning method based on recording file analysis, including:
(1) And interpolating the fault waveform data according to a five-point linear smoothing algorithm. The code is implemented as follows:
(2) Carrying out Fourier transform on the fault waveform data to find out a fault judgment reference point; and locking the fault interval within two cycles according to the fault judgment reference point. The code is implemented as follows:
(3) And determining a fault starting point by using a third-order difference method in the locked fault interval. The code is implemented as follows:
example 3
Corresponding to embodiment 1, this embodiment uses a fault starting point positioning system based on recording file analysis, including:
the file analysis module is used for analyzing the wave recording file to obtain fault waveform data;
the interpolation module is used for interpolating the fault waveform data according to a five-point linear smoothing algorithm;
the data processing module is used for carrying out Fourier transform on the fault waveform data and finding out a fault judgment reference point;
the interval locking module is used for locking the fault interval within two cycles according to the fault judgment datum point;
the fault starting point judging module is used for determining a fault starting point by utilizing a three-order difference method in a locked fault interval;
the fault type judging module is used for judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault.
Wherein, the first and the second end of the pipe are connected with each other,
the data processing module comprises:
the Fourier transform unit is used for carrying out Fourier transform on a zero sequence voltage value in the cycle wave to obtain a corresponding fundamental wave effective value aiming at each cycle wave in the fault waveform data;
a difference value calculating unit, configured to sequentially subtract the fundamental effective values corresponding to adjacent cycles according to the sequence of the multiple cycles in the fault waveform data to obtain multiple difference values;
a reference point selecting unit, configured to find a first point location corresponding to a maximum value of the multiple difference values in the fault waveform data, and use the first point location as a fault determination reference point;
the section locking module comprises:
a cycle extraction unit configured to extract a cycle closest to the fault determination reference point from the fault waveform data, and use the two extracted cycles as a fault section;
the fault starting point judging module comprises:
the third-order difference processing unit is used for carrying out third-order difference on the two extracted cyclic waves to obtain a plurality of zero-sequence voltage third-order differences and finding out a second point position of the maximum value of the absolute values of the plurality of zero-sequence voltage third-order differences, wherein the maximum value corresponds to the second point position in the fault waveform data;
a fault starting point judging unit, configured to sequentially judge, from a starting end of the locked fault interval, backward whether an absolute value of each sampling point is greater than 0.5 times an absolute value of the second point location, and use a sampling point whose first absolute value is greater than 0.5 times the absolute value of the second point location as a fault starting point;
the fault type judging module comprises:
the data sampling unit is used for carrying out data sampling on the zero sequence voltage and the zero sequence current from the starting point of the fault to the back respectively;
the fault type judging unit is used for calculating a correlation coefficient of the first order difference of the zero sequence voltage and the zero sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A fault starting point positioning method based on wave recording file analysis is characterized by comprising the following steps:
s1: analyzing the wave recording file to obtain fault waveform data;
s2: carrying out Fourier transform on the fault waveform data to find out a fault judgment reference point;
s3: locking the fault interval within two cycles according to the fault judgment reference point;
s4: and determining a fault starting point by using a third-order difference method in the locked fault interval.
2. The method for locating the fault starting point based on the wave recording file analysis as claimed in claim 1, wherein before the step S2, the method comprises the following steps: and interpolating the fault waveform data according to a five-point linear smoothing algorithm.
3. The method for positioning the fault starting point based on the analysis of the wave recording file according to claim 1, wherein the step S2 comprises:
s21: for each cycle in the fault waveform data, performing Fourier transform on a zero sequence voltage value in the cycle to obtain a corresponding fundamental effective value;
s22: according to the sequence of the multiple cycles in the fault waveform data, sequentially subtracting the effective values of the fundamental waves corresponding to the adjacent cycles to obtain multiple difference values;
s23: and finding out a first point position corresponding to the maximum value of the plurality of difference values in the fault waveform data, and taking the first point position as a fault judgment reference point.
4. The method for positioning a fault starting point based on wave recording file analysis according to claim 1, wherein the step S3 comprises: and respectively extracting the most adjacent cycle before and after the fault judgment reference point from the fault waveform data, and taking the two extracted cycles as fault sections.
5. The method for positioning a fault starting point based on wave recording file analysis according to claim 1, wherein the step S4 comprises:
s41: carrying out third-order difference on the two extracted cyclic waves to obtain a plurality of zero sequence voltage third-order differences;
s42: finding out a second point position corresponding to the maximum value of the absolute values of the three-order differences of the plurality of zero sequence voltages in the fault waveform data;
s43: and starting from the starting end of the locked fault interval, sequentially judging whether the absolute value of each sampling point is more than 0.5 time of the absolute value of the second point location backwards, and taking the sampling point of which the first absolute value is more than 0.5 time of the absolute value of the second point location as the starting point of the fault.
6. The method for positioning the fault starting point based on the analysis of the wave recording file as claimed in claim 1, further comprising S5: judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault.
7. The method for locating the fault starting point based on the wave recording file analysis as claimed in claim 6, wherein the step S5 comprises:
s51: from the starting point of the fault, carrying out data sampling on the zero sequence voltage and the zero sequence current backwards;
s52: calculating a correlation coefficient of the first order difference of the zero sequence voltage and the zero sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault.
8. The method for positioning the fault starting point based on the analysis of the wave recording file as claimed in claim 7, wherein the correlation coefficient is calculated by the following formula:
wherein the content of the first and second substances,
the first-order difference of the zero-sequence voltage is represented,
represents the mean value of zero sequence voltage, I 0k Representing a zero sequence current.
9. A fault origin locating system based on recording file analysis, comprising:
the file analysis module is used for analyzing the wave recording file to obtain fault waveform data;
the interpolation module is used for interpolating the fault waveform data according to a five-point linear smoothing algorithm;
the data processing module is used for carrying out Fourier transform on the fault waveform data and finding out a fault judgment reference point;
the interval locking module is used for locking the fault interval within two cycles according to the fault judgment datum point;
the fault starting point judging module is used for determining a fault starting point by utilizing a three-order difference method in a locked fault interval;
the fault type judging module is used for judging the fault type according to the fault starting point; the fault types include: an intra-zone fault and an out-of-zone fault.
10. The system of claim 9, wherein the fault starting point locating system based on the analysis of the recording file,
the data processing module comprises:
the Fourier transform unit is used for carrying out Fourier transform on a zero sequence voltage value in the cycle wave aiming at each cycle wave in the fault waveform data to obtain a corresponding fundamental wave effective value;
the difference value calculating unit is used for sequentially subtracting the effective values of the fundamental waves corresponding to the adjacent cycles according to the sequence of the multiple cycles in the fault waveform data to obtain multiple difference values;
a reference point selecting unit, configured to find a first point location corresponding to a maximum value of the multiple difference values in the fault waveform data, and use the first point location as a fault determination reference point;
the zone locking module includes:
a cycle extraction unit configured to extract a cycle closest to the fault determination reference point from the fault waveform data, and use the two extracted cycles as a fault section;
the failure starting point judging module comprises:
the third-order difference processing unit is used for carrying out third-order difference on the two extracted cycles to obtain a plurality of zero-sequence voltage third-order differences and finding out a second point position corresponding to the maximum value of the absolute values of the plurality of zero-sequence voltage third-order differences in the fault waveform data;
a fault starting point judging unit, configured to sequentially judge, from a starting end of the locked fault interval, backward whether an absolute value of each sampling point is greater than 0.5 times an absolute value of the second point location, and use a sampling point whose first absolute value is greater than 0.5 times the absolute value of the second point location as a fault starting point;
the fault type judging module comprises:
the data sampling unit is used for carrying out data sampling on the zero-sequence voltage and the zero-sequence current from the starting point of the fault backwards;
the fault type judging unit is used for calculating a correlation coefficient of the first order difference of the zero sequence voltage and the zero sequence current; if the correlation coefficient is smaller than zero, the fault type is an intra-area fault, otherwise, the fault type is an extra-area fault.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211039938.5A CN115327300A (en) | 2022-08-29 | 2022-08-29 | Fault initial point positioning method and system based on wave recording file analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211039938.5A CN115327300A (en) | 2022-08-29 | 2022-08-29 | Fault initial point positioning method and system based on wave recording file analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115327300A true CN115327300A (en) | 2022-11-11 |
Family
ID=83928344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211039938.5A Pending CN115327300A (en) | 2022-08-29 | 2022-08-29 | Fault initial point positioning method and system based on wave recording file analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115327300A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117269700A (en) * | 2023-11-20 | 2023-12-22 | 国网江西省电力有限公司电力科学研究院 | Voltage transformer insulation defect diagnosis method based on fault wave recording information |
| CN117347787A (en) * | 2023-10-17 | 2024-01-05 | 国网四川省电力公司电力科学研究院 | Power distribution network single-phase earth fault type identification and analysis method and system |
-
2022
- 2022-08-29 CN CN202211039938.5A patent/CN115327300A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117347787A (en) * | 2023-10-17 | 2024-01-05 | 国网四川省电力公司电力科学研究院 | Power distribution network single-phase earth fault type identification and analysis method and system |
| CN117269700A (en) * | 2023-11-20 | 2023-12-22 | 国网江西省电力有限公司电力科学研究院 | Voltage transformer insulation defect diagnosis method based on fault wave recording information |
| CN117269700B (en) * | 2023-11-20 | 2024-03-12 | 国网江西省电力有限公司电力科学研究院 | Voltage transformer insulation defect diagnosis method based on fault wave recording information |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115327300A (en) | Fault initial point positioning method and system based on wave recording file analysis | |
| CN110907758B (en) | Small current ground fault line selection method covering CT polarity self-correction | |
| CN108957244B (en) | Single-phase earth fault line selection positioning method for distribution network main station | |
| EP3043186B1 (en) | Method and system for identifying full parameters of element by fault recorder, and fault locating method | |
| KR101317561B1 (en) | Method for detecting ground fault of power line using wavelet transform | |
| CN108562820B (en) | Single-phase earth fault line selection method and device for small current grounding system | |
| CN110320434B (en) | High-resistance fault identification method and system based on zero-sequence current waveform interval slope curve | |
| CN112485716B (en) | Line selection method based on zero-rest transient characteristic signal of ground fault arc current | |
| CN110045232B (en) | Method for identifying ground fault phase of neutral point non-effective grounding system | |
| CN110579684A (en) | low-current grounding system line selection method based on fusion algorithm | |
| CN113176521A (en) | Single-phase earth fault detection method for power transmission and distribution system | |
| CN110609204A (en) | Power distribution network single-phase earth fault positioning method based on morphological wavelet analysis noise elimination | |
| CN110007198A (en) | A kind of novel singlephase earth fault starting method | |
| CN113805010A (en) | Method and system for studying and judging single-phase earth fault of power distribution network | |
| CN114879085A (en) | Single-phase earth fault identification method and device, electronic equipment and medium | |
| JP7107580B2 (en) | Methods for detecting premature failures in distribution networks | |
| CN106646138B (en) | Distribution net work earthing fault localization method based on the conversion of more sample frequency wavelet character energy | |
| CN105445618A (en) | Fault line selection method and device for small-current grounding system | |
| CN107632237A (en) | A kind of fault line selection method for single-phase-to-ground fault based on wavelet character amount correlation after failure | |
| CN112485595A (en) | Power distribution network ground fault line selection protection method and device | |
| CN108152583B (en) | Method and device for separating fundamental wave and harmonic component of leakage current | |
| CN117269660A (en) | Fault arc detection method and system based on variation coefficient difference algorithm | |
| CN113341273B (en) | Broadband measurement method, device and system for ultra-high voltage direct current fault detection | |
| EP4063876A1 (en) | Vector analysis calculation-based arc crosstalk signal identification method | |
| CN111458626B (en) | Circuit system signal analysis and processing method based on symbiotic multi-functional computation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |