Power transformation equipment tripping linkage processing method based on cooperative interaction control technology

By collecting data at the nearest end of the power grid and performing linkage fault response logic verification on the cloud, and performing secondary verification with the camera module, the problem of insufficient judgment on the on-site environment of substation equipment tripping faults is solved, and the rapid response to substation equipment failures is achieved and Accurate positioning provides effective data support for maintenance.

CN119482914APending Publication Date: 2025-02-18WENSHAN POWER SUPPLY BUREAU YUNNAN GRID
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Patent Information

Application Number
CN202411285453.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-13
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The existing technology lacks effective judgment of the on-site environment when the substation equipment trips, which affects the progress of fault maintenance and cannot effectively protect the substation equipment, and poses safety hazards.

Method used

Using a coordinated interactive control technology to trip the substation equipment, data is collected through the fault recording module and edge fault response communication module at the nearest end of the power grid, and a linkage fault response logic is established in the cloud, and secondary verification is carried out in combination with the camera module. Generate maintenance reference data.

Benefits of technology

It realizes rapid response and handling of substation equipment tripping faults, ensures accurate positioning of fault types, provides data support for maintenance, reduces the workload of operation and maintenance personnel, and improves the safety work guarantee of substation equipment.

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Abstract

The invention discloses a coordinated interaction control technology-based power transformation equipment tripping linkage processing method, a power transformation equipment tripping linkage processing architecture comprises a power grid near end (1) and a cloud end (2), and the power grid near end (1) comprises a fault recording module (101), an edge fault response communication module (102) and a camera module (103); the tripping linkage processing method for the power transformation equipment specifically comprises the following steps: when a tripping fault occurs, the edge fault response communication module (102) sends a fault response to the cloud (2); linkage fault response logic is established at the cloud end (2), and the cloud end (2) calls the camera module (103) to perform secondary verification on the fault response according to the fault response; and when the secondary verification results are the same, generating maintenance reference data. According to the scheme, the tripping fault of the power transformation equipment can be quickly responded and processed, and the fault processing efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of power grid fault processing, and in particular to a method for processing tripping linkage of substation equipment based on collaborative interactive control technology. Background Art

[0002] Relay protection is an important measure to detect faults or abnormal conditions in the power system, thereby issuing an alarm signal or directly isolating and removing the faulty part.

[0003] Fault recorders are used in power systems. When a fault occurs in the system, they can automatically and accurately record the changes in various electrical quantities before and after the fault. The analysis and comparison of these electrical quantities are important for analyzing and handling accidents, judging whether the protection is operating correctly, and improving the safe operation of the power system. Fault recorders are important automatic devices for improving the safe operation of power systems. When a fault or oscillation occurs in the power system, they can automatically record the changes in various electrical quantities during the entire fault process.

[0004] During the use of substation equipment, once a fault occurs, the relay protection device can achieve safety protection for the substation equipment by automatically tripping. When a tripping fault occurs, the existing technology lacks effective judgment of the tripping site environment, which affects the progress of fault repair. When the relay protection device fails, it cannot effectively protect the substation equipment, posing a safety hazard. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for processing tripping linkage of substation equipment based on collaborative interactive control technology, which solves the problems raised in the above-mentioned background technology.

[0006] To achieve the above purpose, the present invention is implemented through the following technical solutions: a transformer substation trip linkage processing method based on collaborative interactive control technology, the transformer substation trip linkage processing architecture includes a power grid near-end (1) and a cloud (2), the power grid near-end (1) includes a fault recording module (101), an edge fault response communication module (102) and a camera module (103);

[0007] The transformer equipment tripping linkage processing method comprises:

[0008] When a tripping fault occurs, the edge fault response communication module (102) sends a fault response to the cloud (2);

[0009] A linkage fault response logic is established in the cloud (2), and the cloud (2) mobilizes the camera module (103) to perform secondary verification on the fault response according to the fault response; when the secondary verification results are the same, maintenance reference data is generated.

[0010] Optionally, in some embodiments of the present invention, the camera module (103) is used to obtain an image of a connection node of a substation equipment and add a unique identifier to the image; and establish a mapping relationship between the unique identifier and the connection node, wherein the connection node includes a cable connection point and a substation equipment instrument layout point.

[0011] Optionally, in some embodiments of the present invention, the fault recording module (101) is used to detect power grid tripping faults, and is also used to collect electrical quantity data before and after the tripping. When a tripping fault occurs, the electrical quantity data is uploaded to the cloud (2) through the edge fault response communication module (102).

[0012] Optionally, in some embodiments of the present invention, the cloud (2) includes a fault monitoring subsystem (201), a secondary verification subsystem (202) and an intelligent maintenance subsystem (203);

[0013] The fault monitoring subsystem (201) is used to detect the mapping relationship between the change characteristics of electrical quantity data and the corresponding fault types, and generate a fault library;

[0014] The secondary verification subsystem (202) is used to establish working state change characteristics of corresponding connection nodes under different fault types to obtain coordinated change characteristics;

[0015] The intelligent maintenance subsystem (203) is used to perform visual self-inspection of connection nodes and to generate maintenance reference data, wherein the maintenance reference data includes maintenance image slides and fault image evolution slides.

[0016] Optionally, in some embodiments of the present invention, the linkage fault response logic includes:

[0017] When receiving the electrical quantity data, the fault monitoring subsystem (201) identifies the corresponding fault according to the fault library and locates the connection node corresponding to the fault as the fault node;

[0018] The fault monitoring subsystem (201) obtains an image corresponding to a unique identifier of the faulty node as a verification image;

[0019] The secondary verification subsystem (202) compares the verification image with the working state characteristics of the corresponding fault type to determine whether the fault response is accurate.

[0020] Optionally, in some embodiments of the present invention, the intelligent maintenance subsystem (203) is used to establish a reference relationship table of fault connection nodes according to the change characteristics of corresponding connection nodes under different fault types.

[0021] Optionally, in some embodiments of the present invention, generating maintenance reference data includes:

[0022] The unique identifier of the verification image is obtained, and according to the reference relationship table of the fault connection node, the image corresponding to the unique identifier collected by the corresponding camera module (103) within the set time before and after the tripping is selected as the associated image, and the maintenance image slide is generated according to the time sequence.

[0023] Optionally, in some embodiments of the present invention, the visual self-inspection method includes:

[0024] The camera module (103) regularly transmits images to the intelligent maintenance subsystem (203) as detection images, and the intelligent maintenance subsystem (203) performs fault detection on the detection images:

[0025] The intelligent maintenance subsystem (203) records the standard image as a reference image;

[0026] After receiving the detection image, the intelligent maintenance subsystem (203) performs correlation comparison with the reference image to determine whether a connection node corresponding to the detection image has a fault.

[0027] Optionally, in some embodiments of the present invention, the step of determining whether a connection node corresponding to the detection image is faulty includes:

[0028] Selecting a region of interest from the reference image and the detection image, and dividing the region of interest into windows of the same position and number;

[0029] Acquire a number of reference windows and detection windows;

[0030] After the mapping relationship between the reference window and the detection window is established, the similarity between the associated reference window and the detection window is calculated:

[0031]

[0032] Where x is the pixel value of the reference window; y is the pixel value of the detection window; μ x is the average value of the pixel value of the reference window; μ y is the average value of the pixel values ​​in the detection window; is the variance of the reference window pixel value; is the variance of the pixel value in the detection window; σ xy is the covariance of the pixel value of the reference window and the pixel value of the detection window; C1=(k1L) 2 and C2=(k2L) 2 are two constants used to avoid the denominator being zero, where L is the dynamic range of the pixel value, k1 and k2 are constants, where k1 = 0.01, k2 = 0.03;

[0033] When the similarity calculation result is lower than a preset standard value, it is determined that the detection window has a fault;

[0034] When the similarity calculation result is higher than or equal to the preset standard value, it is determined that no fault occurs in the detection window.

[0035] Optionally, in some embodiments of the present invention, when the intelligent maintenance subsystem (203) determines that a connection node corresponding to a detection image has a fault, it obtains a detection image within a set time before the fault, and generates a fault image evolution slide according to a time sequence.

[0036] The present invention provides a method for processing tripping linkage of substation equipment based on collaborative interactive control technology. It has the following beneficial effects:

[0037] (1) The present invention performs fault recording at the near end of the power grid to facilitate the effective collection of fault-related data when a tripping fault occurs, and locates the fault type under the setting of the cloud. This ensures the effective collection of data at the near end of the power grid while also ensuring the rapid processing of data at the cloud. In addition, the camera module is used to perform secondary verification of the fault type location result, ensuring the accurate location of the fault type while providing data support for the maintenance of the substation equipment, and realizing rapid response and processing of the substation equipment tripping fault in a collaborative and interactive manner.

[0038] (2) The present invention realizes efficient inspection of substation equipment through visual self-inspection of the camera module, further improving the safety of substation equipment while reducing the workload of operation and maintenance personnel. It can also provide effective maintenance information for operation and maintenance personnel and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the process of the present invention;

[0040] Figure 2 It is a schematic diagram of the system architecture of the present invention;

[0041] Figure 3 This is a system principle block diagram of the power grid near-end and cloud-end of the present invention.

[0042] In the figure:

[0043] 1. Near-end of power grid; 101. Fault recording module; 102. Edge fault response communication module; 103. Camera module;

[0044] 2. Cloud; 201. Fault detection subsystem; 202. Secondary verification subsystem; 203. Intelligent maintenance subsystem. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1-3 , the embodiment of the present invention provides the following technical solutions:

[0047] The present invention provides a substation tripping linkage processing architecture, which includes a power grid proximal end 1 and a cloud 2, wherein the power grid proximal end 1 includes a fault recording module 101, an edge fault response communication module 102 and a camera module 103; the substation tripping linkage processing method based on the collaborative interactive control technology of the present invention specifically includes the following steps:

[0048] S10. When a tripping fault occurs, the edge fault response communication module (102) sends a fault response to the cloud (2).

[0049] Among them, the fault recording module 101 is used to detect the tripping fault of the power grid, and is also used to collect the electrical quantity data before and after the tripping, and when the tripping fault occurs, the electrical quantity data is uploaded to the cloud 2 through the edge fault response communication module 102;

[0050] The camera module 103 is used to obtain images of the connection nodes of the substation equipment. After the unique identifier is added to the image, a mapping relationship between the unique identifier and the connection node is established, wherein the connection node includes the cable connection point and the substation equipment instrument layout point.

[0051] S20, establishing a linkage fault response logic in the cloud 2, and the cloud 2 mobilizes the camera module 103 to perform a secondary verification on the fault response according to the fault response.

[0052] The cloud 2 includes a fault monitoring subsystem 201 , a secondary verification subsystem 202 and an intelligent maintenance subsystem 203 .

[0053] The fault monitoring subsystem 201 is used to detect the mapping relationship between the change characteristics of electrical quantity data and the corresponding fault types, and generate a fault library;

[0054] The secondary verification subsystem 202 is used to establish working state change characteristics of corresponding connection nodes under different fault types to obtain coordinated change characteristics;

[0055] The intelligent maintenance subsystem 203 is used to generate maintenance reference data, wherein the maintenance reference data includes maintenance image slides;

[0056] A linkage fault response logic is established in the cloud 2, and the camera module 103 is mobilized according to the fault response to perform a secondary verification on the fault response, wherein the linkage fault response logic includes:

[0057] When the fault monitoring subsystem 201 receives the electrical quantity data, it identifies the corresponding fault according to the fault library and locates the connection node corresponding to the fault as the fault node;

[0058] The fault monitoring subsystem 201 obtains an image corresponding to a unique identifier of the faulty node as a verification image;

[0059] The secondary verification subsystem 202 compares the verification image with the working state characteristics of the corresponding fault type to determine whether the fault response is accurate.

[0060] S20. When the results of the second verification comparison are the same, the maintenance reference data is generated:

[0061] The intelligent maintenance subsystem 203 establishes a reference relationship table of fault connection nodes according to the changing characteristics of the corresponding connection nodes under different fault types, obtains the unique identifier of the verification image, and selects the images with the corresponding unique identifier captured by the corresponding camera module 103 within the set time before and after tripping according to the reference relationship table of fault connection nodes as associated images, and generates maintenance image slides according to the time sequence.

[0062] This embodiment ensures effective data collection near the power grid while ensuring rapid data processing on the cloud side, and cooperates with the camera module to perform secondary verification on the fault type location result, thereby ensuring accurate location of the fault type and providing data support for the maintenance of the substation equipment, thereby achieving rapid response to the substation equipment tripping fault in a collaborative and interactive manner.

[0063] Among them, generating maintenance reference data includes:

[0064] The unique identifier of the verification image is obtained, and according to the reference relationship table of the fault connection node, the image corresponding to the unique identifier collected by the corresponding camera module (103) within the set time before and after the tripping is selected as the associated image, and the maintenance image slide is generated according to the time sequence.

[0065] Optionally, in some embodiments of the present invention, the cloud 2 further includes using the intelligent maintenance subsystem 203 to perform visual self-inspection of the connection nodes, and the visual self-inspection method includes:

[0066] The camera module 103 periodically transmits images to the intelligent maintenance subsystem 203 as detection images, and the intelligent maintenance subsystem 203 performs fault detection on the detection images:

[0067] The intelligent maintenance subsystem 203 collects the standard image as a reference image;

[0068] After receiving the detection image, the intelligent maintenance subsystem 203 compares it with the reference image to determine whether a connection node corresponding to the detection image is faulty.

[0069] As a detailed description, the method of determining whether a connection node corresponding to the detection image is faulty includes:

[0070] Select the region of interest for the reference image and the detection image, divide the region of interest into windows of the same position and number, obtain several reference windows and detection windows, establish the mapping relationship between the reference window and the detection window, and calculate the similarity between the associated reference window and the detection window:

[0071]

[0072] Where x is the pixel value of the reference window; y is the pixel value of the detection window; μ x is the average value of the pixel value in the reference window; μ y is the average value of the pixel value in the detection window; is the variance of the pixel value in the reference window; is the variance of the pixel value in the detection window; σ xy is the covariance of the reference window pixel value and the detection window pixel value; C1=(k1L) 2 and C2=(k2L) 2 are two constants used to avoid the denominator being zero, where L is the dynamic range of the pixel value, k1 and k2 are constants, where k1 = 0.01, k2 = 0.03;

[0073] When the similarity calculation result is lower than the preset standard value, it is determined that the detection window has a fault. Otherwise, when the similarity calculation result is higher than or equal to the preset standard value, it is determined that the detection window has no fault.

[0074] As a preferred solution, the maintenance reference data also includes a fault image evolution slide. When the intelligent maintenance subsystem 203 determines that a fault occurs in a connection node corresponding to a detection image, it obtains the detection image within a set time before the fault and generates a fault image evolution slide according to the time sequence.

[0075] It can be seen that the intelligent inspection of substation equipment can be realized through visual self-inspection, which can reduce the workload of operation and maintenance personnel and provide effective data support for operation and maintenance personnel when faults occur.

[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for processing tripping linkage of substation equipment based on collaborative interactive control technology, characterized in that: The transformer substation tripping linkage processing architecture comprises a power grid near-end (1) and a cloud (2), wherein the power grid near-end (1) comprises a fault recording module (101), an edge fault response communication module (102) and a camera module (103); The transformer equipment tripping linkage processing method comprises: When a tripping fault occurs, the edge fault response communication module (102) sends a fault response to the cloud (2); Establishing a linkage fault response logic in the cloud (2), wherein the cloud (2) mobilizes the camera module (103) to perform secondary verification on the fault response according to the fault response; When the secondary verification results are the same, maintenance reference data is generated.

2. The method for processing the tripping linkage of substation equipment according to claim 1, characterized in that: The camera module (103) is used to obtain an image of a connection node of a power transformation device and add a unique identifier to the image; and to establish a mapping relationship between the unique identifier and the connection node. Among them, the connection nodes include cable connection points and substation equipment instrument layout points.

3. The method for processing the tripping linkage of substation equipment according to claim 2, characterized in that: The fault recording module (101) is used to detect power grid tripping faults and is also used to collect electrical quantity data before and after the tripping. When a tripping fault occurs, the electrical quantity data is uploaded to the cloud (2) via the edge fault response communication module (102).

4. The method for processing the tripping linkage of substation equipment according to claim 3, characterized in that: The cloud (2) comprises a fault monitoring subsystem (201), a secondary verification subsystem (202) and an intelligent maintenance subsystem (203); The fault monitoring subsystem (201) is used to detect the mapping relationship between the change characteristics of electrical quantity data and the corresponding fault types, and generate a fault library; The secondary verification subsystem (202) is used to establish working state change characteristics of corresponding connection nodes under different fault types to obtain coordinated change characteristics; The intelligent maintenance subsystem (203) is used to perform visual self-inspection of connection nodes and to generate maintenance reference data, wherein the maintenance reference data includes maintenance image slides and fault image evolution slides.

5. The method for processing the tripping linkage of substation equipment according to claim 4, characterized in that: The linkage fault response logic includes: When receiving the electrical quantity data, the fault monitoring subsystem (201) identifies the corresponding fault according to the fault library and locates the connection node corresponding to the fault as the fault node; The fault monitoring subsystem (201) obtains an image corresponding to a unique identifier of the faulty node as a verification image; The secondary verification subsystem (202) compares the verification image with the working state characteristics of the corresponding fault type to determine whether the fault response is accurate.

6. The method for processing the tripping linkage of substation equipment according to claim 5, characterized in that: The intelligent maintenance subsystem (203) is used to establish a reference relationship table of fault connection nodes according to the change characteristics of corresponding connection nodes under different fault types.

7. The method for processing the tripping linkage of substation equipment according to claim 4, characterized in that: The generating of maintenance reference data comprises: The unique identifier of the verification image is obtained, and according to the reference relationship table of the fault connection node, the image corresponding to the unique identifier collected by the corresponding camera module (103) within the set time before and after the tripping is selected as the associated image, and the maintenance image slide is generated according to the time sequence.

8. The method for processing the tripping linkage of substation equipment according to claim 5, characterized in that: The visual self-inspection method includes: The camera module (103) regularly transmits images to the intelligent maintenance subsystem (203) as detection images, and the intelligent maintenance subsystem (203) performs fault detection on the detection images: The intelligent maintenance subsystem (203) records the standard image as a reference image; After receiving the detection image, the intelligent maintenance subsystem (203) performs correlation comparison with the reference image to determine whether a connection node corresponding to the detection image has a fault.

9. The method for processing the tripping linkage of substation equipment according to claim 8, characterized in that: The determining whether a connection node corresponding to the detection image is faulty includes: Selecting a region of interest from the reference image and the detection image, and dividing the region of interest into windows of the same position and number; Acquire a number of reference windows and detection windows; After the mapping relationship between the reference window and the detection window is established, the similarity between the associated reference window and the detection window is calculated: Where x is the pixel value of the reference window; y is the pixel value of the detection window; μ x is the average value of the pixel value of the reference window; μ y is the average value of the pixel values ​​in the detection window; is the variance of the reference window pixel value; is the variance of the pixel value in the detection window; σ xy is the covariance of the pixel value of the reference window and the pixel value of the detection window; C1=(k1L) 2 and C2=(k2L) 2 are two constants used to avoid the denominator being zero, where L is the dynamic range of the pixel value, k1 and k2 are constants, where k 11 =0.01, k2=0.03; When the similarity calculation result is lower than a preset standard value, it is determined that the detection window has a fault; When the similarity calculation result is higher than or equal to the preset standard value, it is determined that no fault occurs in the detection window.

10. The method for processing tripping linkage of substation equipment according to claim 8, characterized in that: When determining that a connection node corresponding to a detection image has a fault, the intelligent maintenance subsystem (203) obtains a detection image within a set time before the fault, and generates a fault image evolution slide according to a time sequence.

Citation Information

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