CN116973683A - Method and system for positioning single-phase ground fault section of electric collecting line of wind power plant - Google Patents
Method and system for positioning single-phase ground fault section of electric collecting line of wind power plant 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
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Abstract
The invention provides a method and a system for positioning a single-phase ground fault section of a wind power plant current collection line, and belongs to the technical field of design fault positioning. Collecting zero sequence current and voltage at a plurality of measuring points on a main line and a branch line; preprocessing the zero sequence current and the voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization; calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point; based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault; and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section. The invention adopts the k-means clustering algorithm to cluster the waveform data of each section after the fault of the current collecting line, the power transmission of the upstream and downstream of the fault is obviously divided, and the position of the fault section is determined, so that the positioning is accurate and efficient.
Description
Technical Field
The invention belongs to the technical field of fault line positioning, and particularly relates to a method and a system for positioning a single-phase grounding fault section of a wind power plant current collecting line.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the expansion of the installation scale of new energy in recent years, the construction scale of land wind farms is also expanding. However, most of wind power plants are located in remote mountain areas, and the like, so that the condition of running lines is complex, the current collecting lines often comprise cables, overhead lines and mixed lines, meanwhile, wind power is unstable, fluctuation conditions are large, and sometimes a fan does not send out power even. Based on various complex reasons, the existing fault positioning method is difficult to accurately determine the fault position, long time is required to carry out line inspection for fault searching, the wind power output efficiency is affected, fault diffusion is easy to cause during the fault period, and large accidents are caused. If the fault section can be positioned on site, the fault area can be isolated directly through a switch, so that the operation reliability is improved.
In the prior art, the fault position is difficult to accurately give through the running conditions of the fault wave recording device, the protection device, the positioning device and the like. With the development of artificial intelligence and big data technology, it is becoming more and more popular to locate fault positions by adopting a machine learning method. However, the inventor finds that a large amount of data needs to be collected to train the network model in the prior art, but waveform data of various faults are lacking in reality, so that the trained network model often has the problem of over fitting, and is not accurate enough in locating the fault position.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method and a system for positioning a single-phase grounding fault section of a collecting line of a wind power plant, which are used for clustering waveform data of each section after the collecting line is in fault by adopting a k-means clustering algorithm, and the power transmission at the upstream and downstream of the fault can be obviously divided so as to determine the position of the fault section, and the positioning is accurate and efficient.
To achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
the invention provides a method for positioning a single-phase ground fault section of a wind power plant current collection line.
A wind power plant current collection line single-phase ground fault section positioning method comprises the following steps:
collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
Preferably, the preprocessing of the collected zero sequence current and voltage specifically comprises:
respectively carrying out wavelet decomposition on the acquired zero sequence current and voltage to obtain a wavelet coefficient and a scale coefficient;
soft threshold denoising is carried out on the obtained wavelet coefficients, and denoised wavelet coefficients are obtained;
reconstructing the scale coefficient and the denoised wavelet coefficient to obtain denoised zero sequence current and zero sequence voltage;
and calculating the root mean square value of the denoised zero sequence voltage and zero sequence current, and carrying out root mean square normalization to obtain the root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization.
Preferably, the zero-sequence current is subjected to wavelet decomposition, specifically:
wherein ck Is the scale factor, d k Is the wavelet coefficient, h 0 and h1 Respectively are weighting coefficients, i 0 Is zero sequence current; m is the serial number of the input original data; k is the serial number of the decomposed coefficient;
soft threshold denoising of wavelet coefficients:
wherein ,the wavelet coefficient after denoising; sgn is a sign function, the input value is greater than 0 and returns to 1, and the input value is less than 0 and returns to-1; lambda is the threshold.
Preferably, reconstructing the scale coefficient and the denoised wavelet coefficient, specifically:
wherein ,is the zero sequence current after denoising.
Preferably, the power at the nth measuring point is calculated by the following formula:
wherein ,Pn The zero sequence active power at each measuring point is used; q (Q) n The zero sequence reactive power is adopted;the power frequency phasor of the zero sequence voltage after root mean square normalization; />The power frequency phasor of the zero sequence current after the root mean square normalization.
Preferably, a k-means clustering algorithm is used for clustering a plurality of measuring points into 2 clusters, and the specific steps are as follows:
1) Randomly selecting a measuring point from a plurality of measuring points as an initial clustering center;
2) Calculating the distance from each rest measuring point to the initial clustering center;
3) Calculating the average value of all data in each cluster, and updating a cluster center according to the average value;
4) And repeatedly calculating each data until all the data are updated, and clustering a plurality of measuring points into 2 clusters.
Preferably, for the distance between the data of the two measuring points a and b, the calculation formula is as follows:
wherein ,Pa1 The zero sequence active power of the point a; p (P) b1 The zero sequence active power of the point b; q (Q) a1 The zero sequence reactive power of the point a; q (Q) b1 The zero sequence reactive power of the point b; d is the data dimension.
The second aspect of the invention provides a single-phase grounding fault section positioning system for a wind farm collector line.
A wind farm collector line single phase earth fault section localization system comprising:
a data acquisition module configured to: collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
a preprocessing module configured to: preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
a power calculation module configured to: calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
a clustering module configured to: based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
a positioning module configured to: and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
A third aspect of the invention provides a computer readable storage medium having stored thereon a program which when executed by a processor performs the steps in a method for locating a single phase ground fault section of a wind farm electrical collector line according to the first aspect of the invention.
A fourth aspect of the invention provides an electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, the processor implementing the steps in the wind farm collector line single phase ground fault section locating method according to the first aspect of the invention when the program is executed.
The one or more of the above technical solutions have the following beneficial effects:
the invention provides a method and a system for locating a single-phase grounding fault section of a collecting line of a wind power plant, which adopt a k-means clustering algorithm to cluster waveform data of each section after the collecting line is in fault, and the power transmission at the upstream and downstream of the fault can be obviously divided so as to determine the position of the fault section, and the locating is quick, efficient and accurate; the network model is trained without collecting a large amount of data, and the problem of over-fitting of the network model trained by waveform data lacking various faults in reality is avoided.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a schematic diagram of a collector line trunk and branch line.
Fig. 2 is a flow chart of data preprocessing.
FIG. 3 is a flow chart for segment locating a faulty power collection line using k-means.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Example 1
The embodiment discloses a method for positioning a single-phase ground fault section of a wind power plant current collection line.
As shown in fig. 2 and 3, a method for positioning a single-phase ground fault section of a wind farm collector line includes the following steps:
collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
The detailed steps are as follows:
1. collecting data: firstly, setting a plurality of measuring points on a main line and a branch line, and collecting zero sequence currents and voltages at the plurality of measuring points on the main line and the branch line.
As shown in fig. 1, black dots represent selected measuring points, and measuring points 3 and 4 are respectively arranged on branches 1 and 2 of the current collecting circuit; two measuring points, namely a measuring point 1 and a measuring point 2, are arranged on a current collecting circuit between the branch 1 and the bus, wherein the measuring point 1 is close to the bus, and the measuring point 2 is close to the branch 1; a measuring point 5 is arranged on the collector line on the side of the branch 2 remote from the busbar.
2. Data preprocessing: the collected data is preprocessed, and the denoising method adopts wavelet soft threshold denoising, and takes zero sequence current denoising as an example.
It is first subjected to wavelet decomposition:
wherein ck Is the scale factor, d k Is the wavelet coefficient, h 0 and h1 Respectively weighting coefficients. The obtained wavelet coefficient is subjected to soft threshold denoising:
wherein ,is the denoised wavelet coefficient.
Further reconstructing to obtain the denoised zero sequence current
Further calculate denoisingRoot mean square value of the zero sequence voltage and zero sequence current and />The instantaneous real-time value after the root mean square normalization of the data is as follows:
3. calculating the power at the nth measurement point:
wherein ,Pn The zero sequence active power at each measuring point is used; q (Q) n The zero sequence reactive power is adopted;the power frequency phasor of the zero sequence voltage after root mean square normalization; />The power frequency phasor of the zero sequence current after the root mean square normalization.
4. Clustering data: the data was clustered into 2 clusters using the k-means clustering algorithm, representing upstream and downstream faults, respectively. The method comprises the following specific steps:
1) Randomly selecting the data as an initial clustering center;
2) Calculating the distance between each data and the clustering center, and calculating the distance between the data of the two points a and b:
wherein ,Pa1 The zero sequence active power of the point a; p (P) b1 Zero sequence active power for b measuring point；Q a1 The zero sequence reactive power of the point a; q (Q) b1 The zero sequence reactive power of the point b; d is the data dimension.
3) And calculating the average value of all the data in the cluster, and updating the cluster center according to the average value.
4) And repeatedly calculating each data until all the data are updated.
5. Outputting a clustering result: and dividing the clusters obtained by clustering into different fault positions, and taking a section between two nearest measuring points on the upstream and downstream of the fault as a fault section.
Example two
The embodiment discloses a single-phase grounding fault section positioning system for a wind power plant current collecting line.
A wind farm collector line single phase earth fault section localization system comprising:
a data acquisition module configured to: collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
a preprocessing module configured to: preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
a power calculation module configured to: calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
a clustering module configured to: based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
a positioning module configured to: and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
Example III
An object of the present embodiment is to provide a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps in a wind farm line single phase ground fault section localization method as described in embodiment 1 of the present disclosure.
Example IV
An object of the present embodiment is to provide an electronic apparatus.
An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, the processor implementing the steps in the wind farm collective line single phase ground fault section localization method as described in embodiment 1 of the present disclosure when executing the program.
The steps involved in the devices of the second, third and fourth embodiments correspond to those of the first embodiment of the method, and the detailed description of the embodiments can be found in the related description section of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any one of the methods of the present invention.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. The method for positioning the single-phase ground fault section of the electric collecting line of the wind power plant is characterized by comprising the following steps of:
collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
2. The method for locating a single-phase ground fault section of a wind farm collector line according to claim 1, wherein the preprocessing of the collected zero sequence current and voltage comprises the following steps:
respectively carrying out wavelet decomposition on the acquired zero sequence current and voltage to obtain a wavelet coefficient and a scale coefficient;
soft threshold denoising is carried out on the obtained wavelet coefficients, and denoised wavelet coefficients are obtained;
reconstructing the scale coefficient and the denoised wavelet coefficient to obtain denoised zero sequence current and zero sequence voltage;
and calculating the root mean square value of the denoised zero sequence voltage and zero sequence current, and carrying out root mean square normalization to obtain the root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization.
3. The method for locating a single-phase ground fault section of a wind farm collector line according to claim 2, wherein the zero sequence current is subjected to wavelet decomposition, specifically:
wherein ck Is the scale factor, d k Is the wavelet coefficient, h 0 and h1 Respectively are weighting coefficients, i 0 Is zero sequence current; m is the serial number of the input original data; k is the serial number of the decomposed coefficient;
soft threshold denoising of wavelet coefficients:
wherein ,the wavelet coefficient after denoising; sgn is a sign function; lambda is the threshold.
4. A method for locating a single-phase ground fault section of a wind farm line according to claim 3, wherein the reconstructing of the scale factor and the denoised wavelet factor is specifically as follows:
wherein ,is the zero sequence current after denoising.
5. The method for locating a single-phase ground fault section of a wind farm collector line according to claim 1, wherein the power at the nth measurement point is calculated according to the following formula:
wherein ,Pn The zero sequence active power at each measuring point is used; q (Q) n The zero sequence reactive power is adopted;the power frequency phasor of the zero sequence voltage after root mean square normalization; />The power frequency phasor of the zero sequence current after the root mean square normalization.
6. The method for locating a single-phase ground fault section of a wind farm current collecting line according to claim 1, wherein a k-means clustering algorithm is used to cluster a plurality of measuring points into 2 clusters, and the method comprises the following specific steps:
1) Randomly selecting a measuring point from a plurality of measuring points as an initial clustering center;
2) Calculating the distance from each rest measuring point to the initial clustering center;
3) Calculating the average value of all data in each cluster, and updating a cluster center according to the average value;
4) And repeatedly calculating each data until all the data are updated, and clustering a plurality of measuring points into 2 clusters.
7. The method for locating a single-phase ground fault section of a wind farm collector line according to claim 6, wherein for the distance between the data of the two measuring points a and b, the calculation formula is as follows:
wherein ,Pa1 The zero sequence active power of the point a; p (P) b1 The zero sequence active power of the point b; q (Q) a1 The zero sequence reactive power of the point a; q (Q) b1 The zero sequence reactive power of the point b; d is the data dimension.
8. A wind power plant current collection line single-phase grounding fault section positioning system is characterized in that: comprising the following steps:
a data acquisition module configured to: collecting zero sequence currents and voltages at a plurality of measuring points on a main line and a branch line;
a preprocessing module configured to: preprocessing the acquired zero sequence current and voltage to obtain a root mean square value of the zero sequence voltage and the zero sequence current after root mean square normalization;
a power calculation module configured to: calculating the zero-sequence active power and the zero-sequence reactive power at each measuring point based on root mean square values of the zero-sequence voltage and the zero-sequence current;
a clustering module configured to: based on the zero-sequence active power and the zero-sequence reactive power at each measuring point, a k-means clustering algorithm is used for gathering a plurality of measuring points into 2 clusters which respectively represent the upstream and downstream of the fault;
a positioning module configured to: and taking the section between the two measuring points which are closest to the upstream and the downstream of the fault as a fault section, and completing the positioning of the fault section.
9. Computer readable storage medium, having stored thereon a program, which when executed by a processor, implements the steps of the wind farm collector line single phase ground fault section localization method according to any of claims 1-7.
10. Electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the wind farm collector line single phase ground fault section localization method according to any of the claims 1-7 when executing the program.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117554753A (en) * | 2024-01-09 | 2024-02-13 | 山东大学 | Single-phase earth fault location method based on zero sequence voltage and current and terminal |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117554753A (en) * | 2024-01-09 | 2024-02-13 | 山东大学 | Single-phase earth fault location method based on zero sequence voltage and current and terminal |
| CN117554753B (en) * | 2024-01-09 | 2024-04-12 | 山东大学 | Single-phase earth fault location method based on zero sequence voltage and current and terminal |
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