Transformer partial discharge positioning method and device, storage medium and electronic equipment

Abstract

The invention discloses a transformer partial discharge positioning method and device, a storage medium and electronic equipment. The method comprises the following steps: determining a detection area in a power grid based on transformer characteristic information; determining an initial positioning result according to the transformer included in the detection area; a target detection host is adopted, transformer signals included in the detection area are analyzed, a partial discharge detection result is determined, and the target detection host is determined in a plurality of candidate detection hosts based on network communication characteristics; and performing integration based on the partial discharge detection result and the initial positioning result, and determining a target positioning result. According to the invention, the technical problem that the positioning efficiency of partial discharge of the transformer is not ideal in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment, and in particular to a transformer partial discharge positioning method, device, storage medium and electronic equipment. Background Art

[0002] With the rapid development of power systems, transformers are key equipment in power systems, and their safe and stable operation is crucial to the reliable operation of the entire power grid. However, during the long-term operation of transformers, due to various reasons (such as insulation aging, overvoltage, overload, etc.), partial discharge (PD) may occur inside the transformer. If this partial discharge is not discovered and handled in time, it may gradually deteriorate, eventually leading to transformer failure and even more serious power grid accidents.

[0003] At present, there are still some significant problems with the detection and positioning technology of partial discharge of transformers. On the one hand, traditional partial discharge detection methods can only detect a single transformer and cannot achieve batch detection, which obviously cannot meet the actual needs in large power grids. On the other hand, even if some methods can achieve batch detection, they will concentrate all data on a host for positioning calculations, which will slow down the processing speed and affect the detection efficiency.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a transformer partial discharge positioning method, device, storage medium and electronic device to at least solve the technical problem of unsatisfactory transformer partial discharge positioning efficiency in the related art.

[0006] One aspect of the present application provides a transformer partial discharge positioning method, comprising: determining a detection area in a power grid based on transformer characteristic information; determining an initial positioning result according to the transformers included in the detection area; using a target detection host to analyze transformer signals included in the detection area to determine a partial discharge detection result, wherein the target detection host is determined from a plurality of candidate detection hosts based on network communication characteristics; and determining a target positioning result based on integration of the partial discharge detection result and the initial positioning result.

[0007] Optionally, the transformer characteristic information includes a transformer display level, and based on the transformer characteristic information, a detection area is determined in the power grid, including: determining the transformer display level based on the transformer network topology characteristics, operating data, and historical display characteristics; dividing the transformer distribution locations in the power grid according to the transformer display level and a preset area quantity threshold to determine the detection area.

[0008] Optionally, based on the transformer network topology characteristics, operating data, and historical display characteristics, the transformer display level is determined, including: determining a first display level according to the transformer type, transformer distribution location, and connection relationship indicated by the transformer network topology characteristics; determining a second display level according to the transformer load condition and operating status indicated by the operating data; determining a third display level according to the transformer click record indicated by the historical display characteristics; determining the transformer display level according to the first display level, the second display level, and the third display level.

[0009] Optionally, the transformer distribution positions in the power grid are divided according to the transformer display level and a preset area quantity threshold, and the detection area is determined, including: according to the transformer display level, the transformer distribution positions in the power grid are divided to determine the initial area; when the number of transformers included in the initial area is greater than the preset area quantity threshold, any transformer in the initial area is determined as the first transformer, wherein the first transformer belongs to the detection area; according to the distance between the first transformer and multiple other transformers in the initial area, a second transformer is determined among the multiple other transformers to be added to the detection area, wherein the multiple other transformers are transformers other than the first transformer; until the total number of the first transformer and the second transformer reaches the preset area quantity threshold, the detection area is determined.

[0010] Optionally, the method also includes: determining the delay, packet loss rate, and bandwidth of each transformer in the detection area for interacting with multiple candidate detection hosts respectively; determining the detection efficiency between the multiple candidate detection hosts and each transformer respectively based on the delay, packet loss rate, and bandwidth of the multiple candidate detection hosts respectively interacting; and determining the network communication characteristics corresponding to the multiple candidate detection hosts respectively according to the sum of the detection efficiencies between the multiple candidate detection hosts and each transformer respectively.

[0011] Optionally, the transformer signal includes an electrical signal and an ultrasonic signal. A target detection host is used to analyze the transformer signal included in the detection area to determine a partial discharge detection result, including: determining multiple discharge positions based on a polarity rule; determining a candidate position where internal discharge exists among multiple discharge positions based on the electrical signal; performing three-dimensional spatial positioning processing based on the ultrasonic signal to determine a target position among multiple candidate positions; and performing processing based on the target position to obtain a partial discharge detection result.

[0012] Optionally, the method further includes: visualizing the target positioning results to obtain a positioning result map, wherein the positioning result map includes a partial discharge abnormality level icon for indicating the distribution of partial discharge abnormalities in the transformer; in response to a viewing instruction for the partial discharge abnormality level icon, displaying a radar map of the corresponding transformer, wherein the radar map is used to display partial discharge types including at least: external interference discharge, main insulation discharge, longitudinal insulation discharge, winding to core discharge, low-voltage side insulation discharge, and non-winding insulation group discharge.

[0013] Another aspect of the present application provides a transformer partial discharge positioning device, including: an area determination module, which is used to determine a detection area in a power grid based on transformer characteristic information; a first positioning module, which is used to determine an initial positioning result according to the transformers included in the detection area; an analysis module, which is used to use a target detection host to analyze the transformer signals included in the detection area to determine a partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on network communication characteristics; a second positioning module, which is used to determine a target positioning result based on the integration of the partial discharge detection result and the initial positioning result.

[0014] Another aspect of the present application provides a non-volatile storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the above transformer partial discharge locating method.

[0015] Another aspect of the present application provides an electronic device, comprising: one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned transformer partial discharge locating method.

[0016] In the embodiment of the present invention, based on the transformer characteristic information, the detection area is determined in the power grid; according to the transformers included in the detection area, the initial positioning result is determined; using the target detection host, the transformer signal included in the detection area is analyzed to determine the partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on the network communication characteristics; based on the partial discharge detection result and the initial positioning result, the target positioning result is determined by integrating. The purpose of ensuring the real-time and integrity of the detection data through the optimization selection of the network communication characteristics is achieved, and the technical effect of improving the accuracy and efficiency of partial discharge detection is achieved, thereby solving the technical problem of the unsatisfactory efficiency of transformer partial discharge positioning in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of an optional transformer partial discharge locating method provided according to an embodiment of the present invention;

[0019] Figure 2 is a first schematic diagram of an optional transformer partial discharge locating method provided according to an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram of determining an optional transformer partial discharge locating method provided according to an embodiment of the present invention;

[0021] Figure 4 is a radar diagram of an optional transformer partial discharge locating method provided according to an embodiment of the present invention;

[0022] Figure 5 is a second schematic diagram of an optional transformer partial discharge locating method provided according to an embodiment of the present invention;

[0023] Figure 6 It is a schematic diagram of an optional transformer partial discharge locating device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] The transformer is one of the important equipment in the power system, and its operating status directly affects the operation of the entire power grid. Partial discharge is one of the main factors affecting the operating status of the transformer. It can cause overheating inside the transformer, decomposition of insulation materials, generation of toxic gases, and generation of electromagnetic waves, resulting in serious consequences. Therefore, effective detection of transformer partial discharge has an important impact on the operating safety and reliability of the transformer. At present, the detection of transformer partial discharge mainly adopts partial discharge detector. When using the partial discharge detector for detection, the operator needs to judge the specific location of the partial discharge by listening and smelling according to the detection principle, so as to complete the positioning of the partial discharge. The existing partial discharge detection method has the following problems: (1) The operator manually operates, the detection efficiency is low, and the detection results are greatly affected by human factors; (2) The detection results are low in accuracy when only using the partial discharge detector.

[0027] In view of the above problems, an embodiment of the present invention provides an embodiment of a method for locating partial discharge of a transformer. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] Figure 1 is a flow chart of an optional transformer partial discharge locating method according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0029] Step S102, determining a detection area in the power grid based on the transformer characteristic information;

[0030] It can be understood that the detection area is determined in the power grid based on the transformer characteristic information.

[0031] In an optional embodiment, the transformer characteristic information includes a transformer display level, and based on the transformer characteristic information, a detection area is determined in the power grid, including: determining the transformer display level based on the transformer network topology characteristics, operating data, and historical display characteristics; dividing the transformer distribution locations in the power grid according to the transformer display level and a preset area quantity threshold to determine the detection area.

[0032] It can be understood that the transformer display level is determined based on the transformer network topology characteristics, operation data, and historical display characteristics. According to the transformer display level and the preset area number threshold, the transformer distribution location in the power grid is divided to determine the detection area. By dividing the location of the transformer into multiple detection areas according to the transformer display level and the preset area number threshold, this dynamic detection area division method can more accurately locate the high-risk areas of partial discharge, improve detection efficiency, and is suitable for daily maintenance and troubleshooting of the power grid.

[0033] In an optional embodiment, the transformer display level is determined based on the transformer network topology characteristics, operating data, and historical display characteristics, including: determining a first display level according to the transformer type, transformer distribution location, and connection relationship indicated by the transformer network topology characteristics; determining a second display level according to the transformer load condition and operating status indicated by the operating data; determining a third display level according to the transformer click record indicated by the historical display characteristics; determining the transformer display level according to the first display level, the second display level, and the third display level.

[0034] It can be understood that the transformer display level is determined by taking into account the transformer network topology characteristics, operation data and historical display characteristics. The first display level can be determined according to the transformer type, transformer distribution location, and connection relationship. The second display level is determined according to the transformer load condition indicated by the operation data and the operation status. The third display level is determined according to the click record of the historical positioning result map of the transformer. The transformer display level is determined according to the first display level, the second display level and the third display level.

[0035] Optionally, in the network topology, the location of the transformer and its connection relationship with other devices have an impact on the priority of the displayed level. For example, a transformer located on a critical path or connected to an important load should have a higher priority. Different types of transformers (such as step-up transformers, step-down transformers, etc.) and capacity sizes will also affect their priority. Generally speaking, transformers with large capacity and greater impact on grid stability should be given higher priority.

[0036] Optionally, real-time load conditions are an important factor in evaluating transformer priority. Heavy-loaded or overloaded transformers may require more frequent monitoring and maintenance, and therefore should have a higher priority. By real-time monitoring of the transformer's operating status, such as temperature, vibration, noise, etc., abnormal conditions can be detected in a timely manner. For transformers with fault indications or abnormal conditions, their priority should be increased for timely processing.

[0037] Optionally, collect and analyze the user's click records on the transformer historical location result map to understand which transformers the user is more interested in or concerned about. According to indicators such as click frequency and click duration, assign a display level based on user attention to the transformer. For example, transformers that are frequently viewed or clicked by users have a higher display level.

[0038] Optionally, the first, second and third display levels are weighted and summed to obtain a comprehensive display level of the transformer. The weighting coefficient can be set according to actual needs to reflect the degree of influence of different factors on the display level. The transformers are sorted and classified according to the comprehensive display level so that transformers of different levels can be displayed in different ways on the visual positioning map so that different detection hosts can be configured for transformers of different levels.

[0039] In an optional embodiment, the transformer distribution positions in the power grid are divided according to the transformer display level and the preset area quantity threshold, and the detection area is determined, including: according to the transformer display level, the transformer distribution positions in the power grid are divided to determine the initial area; when the number of transformers included in the initial area is greater than the preset area quantity threshold, any transformer in the initial area is determined as the first transformer, wherein the first transformer belongs to the detection area; according to the distance between the first transformer and multiple other transformers in the initial area, a second transformer is determined among the multiple other transformers to be added to the detection area, wherein the multiple other transformers are transformers other than the first transformer; until the total number of the first transformer and the second transformer reaches the preset area quantity threshold, the detection area is determined.

[0040] It can be understood that the initialization detection area (i.e., the initial area) is determined according to the display level of the transformer; when the number of transformers in the initial area is greater than the preset area number threshold, a transformer is arbitrarily selected from the initial area as the transformer in the detection area. The transformers in the detection area are calculated to have an Euclidean distance from other transformers in the initial area, and the transformer with the smallest Euclidean distance is added to the detection area, and the Euclidean distance of the remaining transformers is continued to be calculated until the number of transformers in the detection area meets the preset area number threshold, and the detection area can be determined. When there are a large number of transformers, it may be very time-consuming to fully detect all devices. By dividing the detection area and first focusing on the area where the transformers with higher display levels are located, the detection efficiency can be significantly improved. When the number of transformers in the initial area exceeds the preset threshold, the detection area is gradually expanded by calculating the Euclidean distance to ensure that each important transformer can be included in the appropriate detection area. This ensures the comprehensiveness of the detection and avoids the waste of resources.

[0041] Optionally, the Euclidean distance between any two transformers in each detection area needs to be less than a preset distance threshold. This detection area determination method based on distance and quantity thresholds can ensure that the number of transformers in each detection area is moderate, and will neither cause an excessive burden on the detection host due to too many transformers nor reduce the detection efficiency due to too few transformers. It is suitable for partial discharge detection in large power grids.

[0042] It should be noted that by dividing transformers with similar distances into the same detection area, these common risk factors can be discovered and responded to in a timely manner, reducing the risk of failure in the entire area. Since the transformers in the area are relatively concentrated and close to each other, it is easier to achieve mutual backup or load transfer between devices when a failure occurs, thereby improving the reliability of the entire power system and facilitating detailed inspections by operation and maintenance personnel to achieve rapid maintenance.

[0043] Step S104, determining an initial positioning result according to the transformers included in the detection area;

[0044] It can be understood that an initial positioning result is generated according to the transformers included in the detection area, which serves as a visualization basis for the subsequent display of partial discharge detection results.

[0045] Step S106, using a target detection host to analyze transformer signals included in the detection area to determine a partial discharge detection result, wherein the target detection host is determined from a plurality of candidate detection hosts based on network communication characteristics;

[0046] It can be understood that the target detection host is selected according to the network communication characteristics, and the transformer signals in the area are analyzed to determine the partial discharge detection results.

[0047] In an optional embodiment, the method also includes: determining the delay, packet loss rate, and bandwidth of each transformer in the detection area for interacting with multiple candidate detection hosts respectively; determining the detection efficiency between the multiple candidate detection hosts and each transformer respectively based on the delay, packet loss rate, and bandwidth of the multiple candidate detection hosts respectively interacting; and determining the network communication characteristics corresponding to the multiple candidate detection hosts respectively according to the sum of the detection efficiencies between the multiple candidate detection hosts and each transformer respectively.

[0048] It can be understood that based on the delay, packet loss rate, and bandwidth of the interaction between multiple candidate detection hosts, the detection efficiency between multiple candidate detection hosts and each transformer is determined. According to the sum of the detection efficiencies between multiple candidate detection hosts and each transformer, the network communication characteristics corresponding to the multiple candidate detection hosts are determined. By optimizing the network communication characteristics, the real-time transmission and high reliability of the detection data are ensured, which is suitable for power systems that require real-time monitoring, such as smart grids and power dispatching centers.

[0049] Optionally, delay, packet loss rate and bandwidth can be regarded as network characteristics. Considering the network characteristics, a detection host is determined for each detection area. The formula of the network communication characteristic H is:

[0050]

[0051] Among them, K(b i ,S j ) represents the detection efficiency, T(b i ,S j )、D(b i ,S j )、F(b i ,S j ) represent the i-th transformer b i The detection data is sent to the jth detection host S j The delay, packet loss rate and bandwidth of the system are calculated, and m represents the total number of transformers in the detection area. Through the above processing, not only the detection efficiency is improved, but also the resource allocation is optimized, the fault response time is shortened, the visualization of the system is improved, and the comprehensiveness of the detection is guaranteed.

[0052] In an optional embodiment, the transformer signal includes an electrical signal and an ultrasonic signal. A target detection host is used to analyze the transformer signal included in the detection area to determine a partial discharge detection result, including: determining multiple discharge positions based on a polarity rule; determining a candidate position where internal discharge exists among multiple discharge positions based on the electrical signal; performing three-dimensional spatial positioning processing based on the ultrasonic signal to determine a target position among multiple candidate positions; and performing processing based on the target position to obtain a partial discharge detection result.

[0053] It can be understood that the target detection host performs acoustic and electrical joint positioning analysis on the detection data (i.e., transformer signal) of each detection area to obtain the acoustic and electrical joint positioning analysis results (i.e., partial discharge detection results). Considering the polarity rules of different discharge positions, the candidate discharge position is determined according to the high-frequency electrical signal. When the candidate discharge position is an internal discharge, the ultrasonic signal corresponding to each detection end of the internal discharge is obtained, and the target discharge position is determined based on the obtained ultrasonic signal and the three-dimensional space positioning search algorithm. Processing is performed based on the target position to obtain the partial discharge detection result.

[0054] Optionally, the transformer signal is collected by a set detection end, and the transformer signal includes high-frequency electrical signals and ultrasonic signals of each detection end.

[0055] Alternatively, the polarity rule can be as follows Figure 2 As shown, Figure 2This is a first schematic diagram of an optional transformer partial discharge location method provided according to an embodiment of the present invention. The polarity rule can distinguish the winding main insulation and longitudinal insulation discharge. The external interference and internal non-winding discharge need to be distinguished in combination with the spectrum energy distribution. The final method flow chart for different discharge position determination is as follows: Figure 3 As shown, Figure 3 1 is a schematic diagram of an optional transformer partial discharge location method according to an embodiment of the present invention. First, the discharge phase is determined by the amplitude of the three phases, then the polarity rule is used to distinguish whether it is a winding discharge, and finally the spectrum energy rule is used to extract the high-low frequency energy ratio to determine whether it is an external discharge or a non-winding discharge inside the transformer. The following steps are performed: Figure 3 The five-layer determination method is shown.

[0056] This embodiment combines electrical and acoustic signals to organically integrate multi-dimensional information and determine positioning, thereby improving the accuracy and reliability of determination.

[0057] It should be noted that if it is an external discharge, the corresponding signal is an invalid interference signal. At this time, only the effective discharge information is used for acoustic signal positioning, avoiding the blind mass calculation and inability to eliminate interference in traditional single acoustic signal positioning.

[0058] Step S108, integrating the partial discharge detection result and the initial positioning result to determine the target positioning result.

[0059] It can be understood that the partial discharge detection results and the initial positioning results are integrated to determine the target positioning results. Through the above processing, the accuracy and efficiency of partial discharge detection can be effectively improved, which is especially suitable for fault detection and maintenance of transformers in large power grids. The fault point can be located at the first time, reducing power grid accidents caused by partial discharge and ensuring the stable operation of the power grid.

[0060] In an optional embodiment, the method further includes: visualizing the target positioning results to obtain a positioning result map, wherein the positioning result map includes a partial discharge abnormality level icon for indicating the distribution of partial discharge abnormalities in the transformer; in response to a viewing instruction for the partial discharge abnormality level icon, displaying a radar map of the corresponding transformer, wherein the radar map is used to display partial discharge types including at least: external interference discharge, main insulation discharge, longitudinal insulation discharge, winding to core discharge, low-voltage side insulation discharge, and non-winding insulation group discharge.

[0061] It can be understood that the positioning result map is used to indicate the distribution of transformer partial discharge anomalies through different partial discharge abnormality level icons. Click the partial discharge abnormality level icon to view the multi-terminal electrical positioning map of a single transformer. The multi-terminal electrical positioning map is a radar map, which includes six corners, each of which corresponds to a discharge position, namely external interference discharge, main insulation discharge, longitudinal insulation discharge, winding to core discharge, low-voltage side insulation discharge and non-winding insulation group discharge.

[0062] In an optional embodiment, each corner of the radar chart includes a numerical identifier, a line segment identifier and a display line segment identifier. The numerical identifier is used to indicate the discharge value corresponding to the discharge position and the proportion of the discharge values ​​corresponding to all discharge positions. The line segment identifier is used to indicate the maximum value of the discharge position. The display line segment identifier is used to indicate the currently displayed PRPD spectrum (which is a sound pressure frequency distribution diagram, Pulse-Reverse Power Dependent spectrum) and the discharge position corresponding to the three-dimensional spatial positioning spectrum.

[0063] In an optional embodiment, the position of the displayed line segment marker can be changed by restoring, removing, rotating clockwise and counterclockwise, thereby changing the displayed PRPD spectrum and the discharge position corresponding to the three-dimensional spatial positioning spectrum.

[0064] Optionally, click on the icon on the corresponding interface of the multi-terminal electrical positioning map to enter the operation instruction and perform specific operation examples. Figure 4 is a radar diagram of an optional transformer partial discharge locating method provided according to an embodiment of the present invention, such as Figure 4 As shown, you can set the partial discharge abnormal level icon (which can be abbreviated as icon) "×": remove the brown line (the preset color can be set as needed), which means that the user has selected the discharge data of all discharge positions. Icon "+": restore the brown line, and restore the brown line to the default position at the top, that is, the main insulation discharge item. Icon "clockwise": click the clockwise button to rotate the brown line one grid clockwise, such as rotating "main insulation discharge" to "longitudinal insulation discharge". Icon "counterclockwise": click the counterclockwise button to rotate the brown line one grid counterclockwise, such as rotating "main insulation discharge" to "non-winding discharge".

[0065] Through the above step S102, based on the transformer characteristic information, the detection area is determined in the power grid; step S104, according to the transformers included in the detection area, the initial positioning result is determined; step S106, using the target detection host, the transformer signal included in the detection area is analyzed to determine the partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on the network communication characteristics; step S108, based on the partial discharge detection result and the initial positioning result, the target positioning result is determined by integrating. The purpose of ensuring the real-time and integrity of the detection data through the optimization selection of the network communication characteristics is achieved, and the technical effect of improving the accuracy and efficiency of partial discharge detection is achieved, thereby solving the technical problem of the unsatisfactory efficiency of transformer partial discharge positioning in the related art.

[0066] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation mode: Figure 5 is a second schematic diagram of an optional transformer partial discharge locating method provided according to an embodiment of the present invention, such as Figure 5 As shown, a transformer partial discharge detection and positioning visualization system is provided, including: an initialization module, a positioning module, a visualization module, and a transformer partial discharge positioning method provided by any of the above embodiments.

[0067] The initialization module is used to determine the transformer display level by considering the transformer network topology characteristics, real-time operation data and historical display characteristics. According to the transformer display level and the preset area number threshold, the location of the transformer is divided into multiple detection areas and the positioning result map (i.e., the initial positioning result) is initialized.

[0068] Taking into account the transformer network topology characteristics, operation data and historical display characteristics, the transformer display level can be determined. The first display level can be determined according to the transformer type, transformer distribution location, and connection relationship. The second display level is determined according to the transformer load condition indicated by the operation data and the operation status. The third display level is determined according to the click record of the historical positioning result map of the transformer. The transformer display level is determined according to the first display level, the second display level and the third display level.

[0069] In the network topology, the location of the transformer and its connection relationship with other devices have an impact on the priority of the display level. For example, transformers located on critical paths or connected to important loads should have higher priorities. Different types of transformers (such as step-up transformers, step-down transformers, etc.) and capacity size will also affect their priority. Generally speaking, transformers with large capacity and greater impact on grid stability should be given higher priority.

[0070] Real-time load conditions are an important factor in evaluating transformer priority. Heavy-loaded or overloaded transformers may require more frequent monitoring and maintenance, and therefore should have a higher priority. By real-time monitoring of the transformer's operating status, such as temperature, vibration, noise, etc., abnormal conditions can be detected in a timely manner. For transformers with fault indications or abnormal conditions, their priority should be increased for timely processing.

[0071] Collect and analyze the user's click records on the transformer historical location result map to understand which transformers the user is more interested in or concerned about. According to indicators such as click frequency and click duration, a display level based on user attention is assigned to the transformer. For example, transformers that are frequently viewed or clicked by users have a higher display level.

[0072] The first, second and third display levels are weighted and summed to obtain the comprehensive display level of the transformer. The weighting coefficient can be set according to actual needs to reflect the degree of influence of different factors on the display level. Transformers are sorted and classified according to the comprehensive display level so that transformers of different levels can be displayed in different ways on the visual positioning map so that different detection hosts can be configured for transformers of different levels.

[0073] The initial detection area is determined according to the display level of the transformer; when the number of transformers in the initial area is greater than the preset area number threshold, a transformer is randomly selected from the initial area as the transformer in the detection area. The transformer in the detection area is calculated to have an Euclidean distance with other transformers in the initial area, and the transformer with the smallest Euclidean distance is added to the detection area. The Euclidean distance of the remaining transformers is calculated until the number of transformers in the detection area meets the preset area number threshold, and the detection area can be determined. When there are a large number of transformers, it may be very time-consuming to fully detect all devices. By dividing the detection area and first focusing on the area where the transformer with a higher display level is located, the detection efficiency can be significantly improved. When the number of transformers in the initial area exceeds the preset threshold, the detection area is gradually expanded by calculating the Euclidean distance to ensure that each important transformer can be included in the appropriate detection area. This ensures the comprehensiveness of the detection and avoids the waste of resources.

[0074] It should be noted that the Euclidean distance between any two transformers in each detection area needs to be less than the preset distance threshold. By dividing transformers with similar distances into the same detection area, these common risk factors can be discovered and responded to in a timely manner, reducing the risk of failure in the entire area. Since the transformers in the area are relatively concentrated and close to each other, it is easier to achieve mutual backup or load transfer between devices in the event of a failure, thereby improving the reliability of the entire power system and facilitating detailed inspections by operation and maintenance personnel for rapid maintenance.

[0075] The positioning module is used to determine a detection host for each detection area by considering the network characteristics; the detection host is used to perform acoustic and electrical joint positioning analysis on the detection data of each detection area to obtain the acoustic and electrical joint positioning analysis results. The detection data includes high-frequency electrical signals and ultrasonic signals at each detection end.

[0076] Based on the delay, packet loss rate, and bandwidth of the interaction between the multiple candidate detection hosts, the detection efficiency between the multiple candidate detection hosts and each transformer is determined. According to the sum of the detection efficiencies between the multiple candidate detection hosts and each transformer, the network communication characteristics corresponding to the multiple candidate detection hosts are determined.

[0077] Delay, packet loss rate and bandwidth can be regarded as network characteristics. Considering the network characteristics, a detection host is determined for each detection area. The formula of the network communication characteristic H is:

[0078]

[0079] Among them, K(b i ,S j ) represents the detection efficiency, T(b i ,S j )、D(b i ,S j )、F(b i ,S j ) represent the i-th transformer b i The detection data is sent to the jth detection host S j The delay, packet loss rate and bandwidth of the system are calculated, and m represents the total number of transformers in the detection area. Through the above processing, not only the detection efficiency is improved, but also the resource allocation is optimized, the fault response time is shortened, the visualization of the system is improved, and the comprehensiveness of the detection is guaranteed.

[0080] The target detection host performs acoustic and electrical joint positioning analysis on the detection data (i.e., transformer signal) of each detection area to obtain the acoustic and electrical joint positioning analysis results (i.e., partial discharge detection results). Considering the polarity rules of different discharge positions, the candidate discharge position is determined according to the high-frequency electrical signal. When the candidate discharge position is an internal discharge, the ultrasonic signal corresponding to each detection end of the internal discharge is obtained, and the target discharge position is determined based on the obtained ultrasonic signal and the three-dimensional space positioning search algorithm. Processing is performed based on the target position to obtain the partial discharge detection result.

[0081] The polarity rule can be Figure 2 As shown, the polarity rule can distinguish the discharge of the main insulation and longitudinal insulation of the winding. The distinction between external interference and internal non-winding discharge requires the combination of spectrum energy distribution. The final method flow chart for distinguishing different discharge positions is as follows: Figure 3As shown, the discharge phase is first determined by the amplitude of the three phases, then the polarity rule is used to distinguish whether it is winding discharge, and finally the high-low frequency energy ratio is extracted using the spectrum energy rule to determine whether it is external discharge or non-winding discharge inside the transformer. This embodiment combines electrical and acoustic signals to organically integrate multi-dimensional information and perform positioning judgment, thereby improving the accuracy and reliability of judgment.

[0082] It should be noted that if it is an external discharge, the corresponding signal is an invalid interference signal. At this time, only the effective discharge information is used for acoustic signal positioning, avoiding the blind mass calculation and inability to eliminate interference in traditional single acoustic signal positioning.

[0083] The visualization module is used to visualize the acoustic and electrical joint positioning analysis results on the initialized positioning result map.

[0084] The positioning result diagram is used to indicate the distribution of transformer partial discharge anomalies through different partial discharge abnormality level icons. Click the partial discharge abnormality level icon to view the multi-terminal electrical positioning diagram of a single transformer. The multi-terminal electrical positioning diagram is a radar diagram, which includes six corners, each of which corresponds to a discharge position, namely external interference discharge, main insulation discharge, longitudinal insulation discharge, winding to core discharge, low-voltage side insulation discharge and non-winding insulation group discharge.

[0085] Each corner of the radar chart includes a numerical mark, a line mark and a display line mark. The numerical mark is used to indicate the discharge value corresponding to the discharge position and the proportion of the discharge values ​​corresponding to all discharge positions. The line mark is used to indicate the maximum value of the discharge position. The display line mark is used to indicate the currently displayed PRPD spectrum (a sound pressure frequency distribution diagram, Pulse-Reverse Power Dependent spectrum) and the discharge position corresponding to the three-dimensional spatial positioning spectrum.

[0086] The position of the displayed line segment mark can be changed by restoring, removing, rotating clockwise and counterclockwise, thereby changing the displayed PRPD spectrum and the discharge position corresponding to the three-dimensional spatial positioning spectrum.

[0087] The above optional implementation method achieves at least the following effects: by intelligently dividing the detection area and optimizing the data processing flow, batch detection and positioning of partial discharges of multiple transformers are realized, which significantly improves the detection efficiency and accuracy. At the same time, the use of acoustic and electrical joint positioning analysis technology can more accurately determine the discharge location, providing strong support for fault handling. According to the display level of the transformer and the preset area number threshold, the area can be divided, and key equipment and areas can be given priority to optimize resource allocation. This helps to concentrate resources on important tasks and reduce unnecessary waste of resources. The positioning result diagram provided by the present invention intuitively indicates the distribution of transformer partial discharge anomalies through different partial discharge anomaly level icons, which is convenient for users to quickly understand the system status. At the same time, the multi-terminal electrical positioning map adopts a radar map form, which is intuitive and easy to understand. In addition, users can change the display content through simple operations, which enhances the interactivity of the system.

[0088] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0089] In this embodiment, a transformer partial discharge positioning device is also provided, which is used to implement the above embodiments and preferred implementations, and the descriptions that have been made will not be repeated. As used below, the terms "module" and "device" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0090] According to an embodiment of the present invention, there is also provided an embodiment of a device for implementing a transformer partial discharge locating method. Figure 6 is a schematic diagram of a transformer partial discharge locating device according to an embodiment of the present invention. Figure 6 As shown, the transformer partial discharge positioning device comprises: an area determination module 602, a first positioning module 604, an analysis module 606, and a second positioning module 608. The device is described below.

[0091] The area determination module 602 is used to determine the detection area in the power grid based on the transformer characteristic information;

[0092] A first positioning module 604, connected to the area determination module 602, is used to determine an initial positioning result according to the transformers included in the detection area;

[0093] The analysis module 606 is connected to the first positioning module 604 and is used to analyze the transformer signal included in the detection area using a target detection host to determine the partial discharge detection result, wherein the target detection host is determined from a plurality of candidate detection hosts based on network communication characteristics;

[0094] The second positioning module 608 is connected to the analysis module 606 and is used to determine the target positioning result based on the integration of the partial discharge detection result and the initial positioning result.

[0095] In a transformer partial discharge positioning device provided by an embodiment of the present invention, an area determination module 602 is set to determine a detection area in a power grid based on transformer characteristic information; a first positioning module 604 is connected to the area determination module 602 and is used to determine an initial positioning result according to the transformers included in the detection area; an analysis module 606 is connected to the first positioning module 604 and is used to analyze the transformer signals included in the detection area using a target detection host to determine a partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on network communication characteristics; a second positioning module 608 is connected to the analysis module 606 and is used to integrate the partial discharge detection result and the initial positioning result to determine the target positioning result. The purpose of ensuring the real-time and integrity of the detection data through the optimization selection of the network communication characteristics is achieved, and the technical effect of improving the accuracy and efficiency of partial discharge detection is achieved, thereby solving the technical problem of unsatisfactory transformer partial discharge positioning efficiency in the related art.

[0096] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0097] It should be noted that the above-mentioned area determination module 602, the first positioning module 604, the analysis module 606, and the second positioning module 608 correspond to steps S102 to S108 in the embodiment, and the examples and application scenarios implemented by the above-mentioned modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above-mentioned embodiment. It should be noted that the above-mentioned modules can be run in a computer terminal as part of the device.

[0098] It should be noted that the optional or preferred implementation of this embodiment can refer to the relevant description in the embodiment, which will not be repeated here.

[0099] The above-mentioned transformer partial discharge locating device may further include a processor and a memory, and the area determination module 602, the first locating module 604, the analysis module 606, the second locating module 608, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to implement corresponding functions.

[0100] The processor includes a kernel, which retrieves the corresponding program unit from the memory. There can be one or more kernels. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0101] An embodiment of the present invention provides a non-volatile storage medium on which a program is stored. When the program is executed by a processor, a transformer partial discharge locating method is implemented.

[0102] An embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and can be run on the processor. When the processor executes the program, the following steps are implemented: based on transformer characteristic information, a detection area is determined in the power grid; according to the transformers included in the detection area, an initial positioning result is determined; using a target detection host, the transformer signal included in the detection area is analyzed to determine a partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on network communication characteristics; based on the partial discharge detection result and the initial positioning result, the integration is performed to determine the target positioning result. The device in this article can be a server, a PC, etc.

[0103] The present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: based on transformer characteristic information, determining a detection area in the power grid; determining an initial positioning result according to the transformers included in the detection area; using a target detection host, analyzing the transformer signals included in the detection area to determine a partial discharge detection result, wherein the target detection host is determined from multiple candidate detection hosts based on network communication characteristics; and determining a target positioning result based on integration of the partial discharge detection result and the initial positioning result.

[0104] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0105] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0106] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0107] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0108] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0109] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0110] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0111] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity 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, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0112] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0113] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A transformer partial discharge location method, characterized in that: include: Based on the transformer characteristic information, the detection area is determined in the power grid; Determining an initial positioning result according to the transformers included in the detection area; Using a target detection host to analyze transformer signals included in the detection area to determine a partial discharge detection result, wherein the target detection host is determined from a plurality of candidate detection hosts based on network communication characteristics; The target positioning result is determined based on the integration of the partial discharge detection result and the initial positioning result.

2. The method according to claim 1, characterized in that The transformer characteristic information includes a transformer display level, and determining a detection area in a power grid based on the transformer characteristic information includes: Determining the transformer display level based on transformer network topology characteristics, operating data, and historical display characteristics; According to the transformer display level and the preset area quantity threshold, the transformer distribution locations in the power grid are divided to determine the detection area.

3. The method according to claim 2, characterized in that Determining the transformer display level based on the transformer network topology characteristics, operation data, and historical display characteristics includes: Determine a first display level according to the transformer type, transformer distribution location, and connection relationship indicated by the transformer network topology characteristics; Determining a second display level according to the transformer load condition and operating state indicated by the operating data; determining a third display level according to the transformer click record indicated by the historical display characteristic; The transformer display level is determined according to the first display level, the second display level, and the third display level.

4. The method according to claim 2, characterized in that: The step of dividing the transformer distribution locations in the power grid according to the transformer display level and the preset area quantity threshold to determine the detection area includes: According to the transformer display level, the transformer distribution locations in the power grid are divided to determine an initial area; When the number of transformers included in the initial area is greater than the preset area number threshold, determining any transformer in the initial area as a first transformer, wherein the first transformer belongs to the detection area; According to the distance between the first transformer and a plurality of other transformers in the initial area, determine a second transformer to be added to the detection area from among the plurality of other transformers, wherein the plurality of other transformers are transformers other than the first transformer; The detection area is determined until the total number of the first transformers and the second transformers reaches the preset area number threshold.

5. The method according to claim 1, characterized in that The method further comprises: Determine the delay, packet loss rate, and bandwidth of each transformer in the detection area interacting with the multiple candidate detection hosts respectively; Determine the detection efficiency between the plurality of candidate detection hosts and each of the transformers based on the delay, packet loss rate, and bandwidth of the interactions between the plurality of candidate detection hosts; According to the sum of the detection efficiencies between the multiple candidate detection hosts and each of the transformers, the network communication characteristics respectively corresponding to the multiple candidate detection hosts are determined.

6. The method according to claim 1, characterized in that The transformer signal includes an electrical signal and an ultrasonic signal. The target detection host is used to analyze the transformer signal included in the detection area to determine the partial discharge detection result, including: Based on the polarity rule, multiple discharge locations are determined; determining, based on the electrical signal, a candidate position where an internal discharge exists among the plurality of discharge positions; Performing three-dimensional spatial positioning processing according to the ultrasonic signal to determine a target position among multiple candidate positions; Processing is performed based on the target position to obtain the partial discharge detection result.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Performing visualization processing on the target positioning result to obtain a positioning result map, wherein the positioning result map includes a partial discharge abnormality level icon for indicating the distribution of partial discharge abnormalities of the transformer; In response to an instruction to view the partial discharge abnormality level icon, a radar chart of the corresponding transformer is displayed, wherein the radar chart is used to display partial discharge types including at least: external interference discharge, main insulation discharge, longitudinal insulation discharge, winding to core discharge, low-voltage side insulation discharge, and non-winding insulation group discharge.

8. A transformer partial discharge positioning device, characterized in that: include: An area determination module, used to determine a detection area in a power grid based on transformer characteristic information; A first positioning module, used to determine an initial positioning result according to the transformers included in the detection area; An analysis module, configured to analyze transformer signals included in a detection area using a target detection host to determine a partial discharge detection result, wherein the target detection host is determined from a plurality of candidate detection hosts based on network communication characteristics; The second positioning module is used to determine the target positioning result by integrating the partial discharge detection result and the initial positioning result.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the transformer partial discharge locating method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: One or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the transformer partial discharge locating method according to any one of claims 1 to 7.

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