A method for determining the inter-turn discharge of transformer windings
By analyzing and optimizing the real-time discharge amount and parameters of the transformer, the problem of difficulty in accurately measuring the discharge amount between the turns of the transformer winding in the prior art is solved, and more accurate discharge measurement and more stable transformer operation are achieved.
Patent Information
- Application Number
- CN202411614524.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-03-04
- Estimated Expiration
- 2044-11-13
AI Technical Summary
The existing transformer winding interturn discharge measurement methods are difficult to accurately measure the true discharge of transformer windings with complex structures, which affects the operational safety and stability of the transformer.
By obtaining the real-time discharge amount and discharge parameters of the target transformer based on the preset monitoring device, combining the first discharge amount set and the first discharge parameter set, data processing and analysis and optimization are carried out to determine the winding inter-turn discharge amount of the target transformer.
It realizes a more accurate measurement of the discharge amount between the windings of the transformer, ensuring the safety and stability of the transformer operation.
Smart Images
Figure CN119147913B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of power equipment monitoring, and in particular to a method for determining the inter-turn discharge amount of a transformer winding. Background Art
[0002] At present, in the insulation components of power equipment, some weak parts are prone to partial discharge under the action of strong electric fields. For transformers, the winding is the main structure that bears electromagnetic stress, and the internal discharge type is mainly inter-turn discharge of the winding. Inter-turn discharge has an important impact on the stable operation of the transformer.
[0003] However, the existing methods for measuring and determining the inter-turn discharge amount have many shortcomings, especially for transformer winding structures with complex structures, it is difficult to accurately measure their true discharge amount.
[0004] Therefore, the present invention provides a method for determining the discharge amount between turns of transformer windings. Summary of the invention
[0005] The present invention provides a method for determining the inter-turn discharge amount of transformer windings, which is used to analyze and optimize the discharge amount by analyzing the discharge amount and discharge parameters, so as to obtain a more accurate inter-turn discharge amount of the windings of a target transformer, and can more accurately evaluate the inter-turn discharge amount of the windings of the target transformer, so as to ensure the safety and stability of its operation.
[0006] The present invention provides a method for determining the inter-turn discharge amount of a transformer winding, comprising:
[0007] Step 1: Based on a preset monitoring device, obtain the real-time discharge amount and corresponding real-time discharge parameters of the target transformer, and at the same time, obtain a first discharge amount set and a corresponding first discharge parameter set of the target transformer in the current discharge cycle;
[0008] Step 2: Perform processing based on the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set to obtain a first processed discharge result;
[0009] Step 3: performing a discharge capacity analysis on the first processed discharge result based on a preset discharge capacity analysis method to obtain a first analysis result;
[0010] Step 4: Analyze and optimize the first analysis result in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge of the target transformer.
[0011] According to the present invention, the real-time discharge amount and the corresponding real-time discharge parameter of the target transformer are obtained based on the preset monitoring device, and at the same time, the first discharge amount set and the corresponding first discharge parameter set of the target transformer in the current discharge cycle are obtained, including:
[0012] Step 11: Connect the preset monitoring device to the target transformer and check the connection performance. If the connection performance is greater than the standard connection performance, the target transformer is monitored in real time based on the preset monitoring device.
[0013] Step 12: Based on the preset monitoring equipment, the real-time discharge amount and real-time discharge parameters of the inter-turn winding of the monitoring target transformer are collected;
[0014] Step 13: In the current discharge cycle, the discharge capacity data collected and monitored by the preset monitoring device is recorded and stored to obtain a first discharge capacity set, and at the same time, the discharge parameters corresponding to the first discharge capacity set are synchronously recorded to obtain a first discharge parameter set;
[0015] The first discharge amount set does not include the real-time discharge amount, and the first discharge parameter set does not include the real-time discharge parameter.
[0016] According to the present invention, the first processing discharge result is obtained by performing processing based on the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set, including:
[0017] Step 21: cleaning the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set, and sorting the first discharge amount set and the first discharge parameter set to obtain the processed discharge amount, the processed discharge parameter, the first processed discharge amount set and the first processed discharge parameter set;
[0018] Step 22: sorting the processing discharge amount and the monitoring time of each first processing discharge amount in the first processing discharge amount set, and inputting the sorting results into the same coordinate system to obtain a first discharge amount change curve between turns of the target transformer winding;
[0019] Step 23: sorting the processing discharge parameters and the monitoring time of each first processing discharge parameter in the first processing discharge parameter set, and inputting the sorting results into the same coordinate system to obtain a first discharge parameter change curve between turns of the target transformer winding;
[0020] Step 24: The first discharge amount variation curve and the first discharge parameter variation curve are integrated to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
[0021] According to the present invention, the first discharge amount change curve and the first discharge parameter change curve are integrated to obtain a first processing discharge result of a target transformer winding turn-to-turn discharge amount, including:
[0022] Step 241: extracting statistical indicators related to the inter-turn discharge amount of the winding of the target transformer based on a preset database to obtain a first indicator table;
[0023] Step 242: filling the index values of the first index table based on the first discharge capacity change curve, the first discharge parameter change curve and the corresponding discharge capacity and discharge parameter to obtain a second index table;
[0024] Step 243: The second indicator table is integrated with the first discharge amount change curve and the first discharge parameter change curve to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
[0025] According to the present invention, a discharge capacity analysis is performed on the first processed discharge result based on a preset discharge capacity analysis method to obtain a first analysis result, including:
[0026] Step 31: extracting a first discharge capacity analysis method set from a method database based on a real-time discharge capacity analysis requirement of a target transformer;
[0027] Step 32: acquiring a key discharge type corresponding to each first discharge capacity analysis method in the first discharge capacity analysis method set, and obtaining a first key discharge type set;
[0028] Wherein, each first key discharge type subset of the first key discharge type set corresponds to a first discharge amount analysis method;
[0029] Step 33: matching and analyzing the first processed discharge result with each key discharge type in the first key discharge type set, thereby obtaining a first key discharge analysis set;
[0030] Wherein, each key discharge analysis subset of the first key discharge analysis set includes each key discharge type of the current discharge capacity analysis method and the discharge analysis result corresponding to each key discharge type;
[0031] Step 34: determining whether there is a key discharge type in the first key discharge analysis set that does not match the discharge analysis result;
[0032] If there is a key discharge type that does not match the discharge analysis result, the first discharge amount analysis method corresponding to the current key discharge type is eliminated, thereby obtaining a second key discharge analysis set;
[0033] Otherwise, the first key discharge analysis set is used as the second key discharge analysis set;
[0034] Step 35: obtaining the historical error situation of each first discharge analysis method corresponding to the second key discharge analysis set, and sorting each second key discharge analysis subset in the second key discharge analysis set according to the historical error situation to obtain an ordered third key discharge analysis set;
[0035] Step 36: taking the third key discharge analysis subset corresponding to the first discharge capacity analysis method with the smallest historical error as the initial analysis result;
[0036] Step 37: Optimize the initial analysis result based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, so as to obtain a first analysis result of the target transformer winding turn-to-turn discharge amount.
[0037] According to the present invention, the initial analysis result is optimized based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, including:
[0038] Step 361: sequentially acquiring corresponding third key discharge analysis subsets in order of historical error from small to large, and determining corresponding analysis influence weights T based on the historical error of each third key discharge analysis subset;
[0039] ; T is the analysis impact weight of the current third key discharge analysis subset, is the influence weight of the i-th key discharge type of the current third key discharge analysis subset on the discharge analysis result, is the discharge error of the historical discharge analysis result corresponding to the i-th key discharge type of the current third key discharge analysis subset, is the analytical conversion factor for the i-th key discharge type, is the influence degree of the jth key discharge type on the ith key discharge type, k is a fixed amplification factor, where i is not equal to j, n is the number of key discharge types in the current third key discharge analysis subset, m is the number of remaining key discharge types in the current third key discharge analysis subset except the current key discharge type, and m=n-1;
[0040] Step 362: Optimize the corresponding initial analysis result by combining the analysis influence weight with the discharge analysis result of each third key discharge analysis subset.
[0041] According to the present invention, the first analysis result is analyzed and optimized in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge amount of the target transformer, including:
[0042] Step 41: inputting relevant parameters of the preset monitoring device and the target transformer into the preset virtual machine, simulating the inter-turn discharge of the target transformer winding, thereby determining the simulated power difference between the power received by the preset monitoring device and the inter-turn discharge of the target transformer winding;
[0043] Step 42: Process the simulated power difference and obtain a simulated processing discharge result by combining the power received by the preset monitoring device in the virtual machine;
[0044] Step 43: performing a discharge capacity analysis on the simulated discharge result based on a preset discharge capacity analysis method to obtain a simulation analysis result;
[0045] Step 44: Compare the differences between the simulation analysis result and each sub-analysis result in the first analysis result, so as to perform analysis optimization and determine the comprehensive winding turn-to-turn discharge of the target transformer.
[0046] According to the present invention, the difference between the comparison simulation analysis result and each sub-analysis result in the first analysis result is compared, so as to perform analysis optimization, including:
[0047] If the difference between the simulation analysis result and each sub-analysis result in the first analysis result is greater than the standard difference, then the sub-analysis result of the first analysis result is analyzed and optimized based on the corresponding sub-analysis result of the simulation analysis result;
[0048] Otherwise, there is no need to perform analysis optimization on the first analysis result.
[0049] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a method for determining the discharge amount between turns of a transformer winding, which analyzes and optimizes the discharge amount by analyzing the discharge amount and discharge parameters, thereby obtaining a more accurate discharge amount between turns of the winding of the target transformer, and can more accurately evaluate the discharge amount between turns of the winding of the target transformer, thereby ensuring the safety and stability of its operation. BRIEF DESCRIPTION OF THE DRAWINGS
[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0051] Figure 1 It is a flow chart of a method for determining the inter-turn discharge amount of a transformer winding provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0052] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.
[0053] Embodiment 1:
[0054] The embodiment of the present invention provides a method for determining the inter-turn discharge amount of a transformer winding, such as Figure 1 As shown, including:
[0055] Step 1: Based on a preset monitoring device, obtain the real-time discharge amount and corresponding real-time discharge parameters of the target transformer, and at the same time, obtain a first discharge amount set and a corresponding first discharge parameter set of the target transformer in the current discharge cycle;
[0056] Step 2: Perform processing based on the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set to obtain a first processed discharge result;
[0057] Step 3: performing a discharge capacity analysis on the first processed discharge result based on a preset discharge capacity analysis method to obtain a first analysis result;
[0058] Step 4: Analyze and optimize the first analysis result in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge of the target transformer.
[0059] In this embodiment, the preset monitoring device is a device for monitoring the operating state of the target transformer. The preset monitoring device can collect various operating data of the transformer in real time or regularly, such as discharge capacity, temperature, current, etc.
[0060] In this embodiment, the real-time discharge amount refers to the real-time discharge amount of the transformer during operation.
[0061] In this embodiment, the real-time discharge parameter refers to other parameters related to the real-time discharge amount, such as discharge position, discharge frequency, discharge intensity, etc.
[0062] In this embodiment, the first discharge amount set refers to a set of all discharge amounts recorded by the target transformer in the current discharge cycle.
[0063] In this embodiment, the first discharge parameter set is a set of discharge parameters corresponding to the first discharge amount set.
[0064] In this embodiment, the first processed discharge result is a preliminary analysis result obtained by processing (such as calculating the average value, standard deviation, trend line, etc.) the real-time discharge amount, the real-time discharge parameter, the first discharge amount set, and the first discharge parameter set.
[0065] In this embodiment, the preset discharge capacity analysis method can be determined based on a mathematical model, a statistical method, or expert experience, for example, the preset discharge capacity analysis method includes a pulse current method, an ultrasonic method, a photoelectric detection method, an ultra-high frequency detection method, and the like.
[0066] In this embodiment, the first analysis result refers to a discharge capacity result obtained by analyzing the first processed discharge result using a preset discharge capacity analysis method. The first analysis result may involve a change trend of the discharge capacity, identification of abnormal discharge, and the like.
[0067] In this embodiment, the real-time error refers to the error between the power received by the device and the discharge amount of the transformer generated by the preset monitoring device during the real-time monitoring process.
[0068] In this embodiment, the comprehensive winding turn-to-turn discharge amount is a comprehensive evaluation of the winding turn-to-turn discharge amount of the target transformer after considering the impact of the real-time error on the analysis result.
[0069] The beneficial effect of the above technical solution is: by analyzing the discharge amount and discharge parameters, the discharge amount is analyzed and optimized, so as to obtain a more accurate inter-turn discharge amount of the winding of the target transformer, and the inter-turn discharge amount of the winding of the target transformer can be more accurately evaluated, thereby ensuring the safety and stability of its operation.
[0070] Embodiment 2:
[0071] Based on Example 1, the real-time discharge amount and the corresponding real-time discharge parameter of the target transformer are obtained based on the preset monitoring device, and at the same time, the first discharge amount set and the corresponding first discharge parameter set of the target transformer in the current discharge cycle are obtained, including:
[0072] Step 11: Connect the preset monitoring device to the target transformer and check the connection performance. If the connection performance is greater than the standard connection performance, the target transformer is monitored in real time based on the preset monitoring device.
[0073] Step 12: Based on the preset monitoring equipment, the real-time discharge amount and real-time discharge parameters of the inter-turn winding of the monitoring target transformer are collected;
[0074] Step 13: In the current discharge cycle, the discharge capacity data collected and monitored by the preset monitoring device is recorded and stored to obtain a first discharge capacity set, and at the same time, the discharge parameters corresponding to the first discharge capacity set are synchronously recorded to obtain a first discharge parameter set;
[0075] The first discharge amount set does not include the real-time discharge amount, and the first discharge parameter set does not include the real-time discharge parameter.
[0076] In this embodiment, the preset monitoring device is a device for monitoring the operating state of the target transformer. The preset monitoring device can collect various operating data of the transformer in real time or regularly, such as discharge capacity, temperature, current, etc.
[0077] In this embodiment, the connection performance refers to the connection quality or effect between the preset monitoring device and the target transformer.
[0078] In this embodiment, the standard connection performance is a preset connection performance requirement or threshold, and if the connection performance exceeds the standard connection performance, the connection is considered to be valid.
[0079] In this embodiment, the real-time discharge amount refers to the real-time discharge amount of the transformer during operation.
[0080] In this embodiment, the real-time discharge parameter refers to other parameters related to the real-time discharge amount, such as discharge position, discharge frequency, discharge intensity, etc.
[0081] In this embodiment, the first discharge amount set refers to a set of all discharge amounts recorded by the target transformer in the current discharge cycle.
[0082] In this embodiment, the first discharge parameter set is a set of discharge parameters corresponding to the first discharge amount set.
[0083] In this embodiment, the first discharge amount set does not include the real-time discharge amount, and the first discharge parameter set does not include the real-time discharge parameter.
[0084] The beneficial effect of the above technical solution is: by obtaining the discharge amount and discharge parameters, discharge analysis is performed, and the discharge amount is analyzed and optimized, so as to obtain a more accurate inter-turn discharge amount of the winding of the target transformer.
[0085] Embodiment 3:
[0086] Based on the second embodiment, the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set are processed to obtain a first processed discharge result, including:
[0087] Step 21: cleaning the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set, and sorting the first discharge amount set and the first discharge parameter set to obtain the processed discharge amount, the processed discharge parameter, the first processed discharge amount set and the first processed discharge parameter set;
[0088] Step 22: sorting the processing discharge amount and the monitoring time of each first processing discharge amount in the first processing discharge amount set, and inputting the sorting results into the same coordinate system to obtain a first discharge amount change curve between turns of the target transformer winding;
[0089] Step 23: sorting the processing discharge parameters and the monitoring time of each first processing discharge parameter in the first processing discharge parameter set, and inputting the sorting results into the same coordinate system to obtain a first discharge parameter change curve between turns of the target transformer winding;
[0090] Step 24: The first discharge amount variation curve and the first discharge parameter variation curve are integrated to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
[0091] In this embodiment, data cleaning refers to preprocessing the original data to remove erroneous, duplicate or invalid data to ensure the accuracy and consistency of the data.
[0092] In this embodiment, data sorting refers to sorting, classifying or summarizing the cleaned data to facilitate subsequent analysis and processing.
[0093] In this embodiment, the processed discharge amount refers to the real-time discharge amount data after data cleaning.
[0094] In this embodiment, the processed discharge parameters refer to real-time discharge parameters after data cleaning.
[0095] In this embodiment, the first processed discharge amount set refers to the first discharge amount set after data cleaning and data arrangement.
[0096] In this embodiment, the first processed discharge parameter set refers to the first discharge parameter set after data cleaning and data arrangement.
[0097] In this embodiment, the first discharge amount change curve refers to a curve obtained by sorting the processing discharge amount and the monitoring time of each first processing discharge amount in the first processing discharge amount set and inputting them into the same coordinate system. The first discharge amount change curve reflects the change trend of the discharge amount between turns of the target transformer winding.
[0098] In this embodiment, the first discharge parameter change curve refers to a curve obtained by sorting the processing discharge parameters and the monitoring time of each first processing discharge parameter in the first processing discharge parameter set and inputting them into the same coordinate system. The first discharge parameter change curve reflects the change trend of the inter-turn discharge parameter of the target transformer winding.
[0099] In this embodiment, the first processing discharge result refers to a result obtained by integrating the first discharge amount change curve and the first discharge parameter change curve.
[0100] The beneficial effect of the above technical solution is: by processing the discharge amount and discharge parameters, the processing result is determined, so as to perform a more accurate analysis, and at the same time, the evaluation and analysis of the operating status and discharge amount of the transformer can be made more accurate and effective.
[0101] Embodiment 4:
[0102] Based on Example 3, the first discharge amount change curve and the first discharge parameter change curve are integrated to obtain a first processing discharge result of the target transformer winding turn-to-turn discharge amount, including:
[0103] Step 241: extracting statistical indicators related to the inter-turn discharge amount of the winding of the target transformer based on a preset database to obtain a first indicator table;
[0104] Step 242: filling the index values of the first index table based on the first discharge capacity change curve, the first discharge parameter change curve and the corresponding discharge capacity and discharge parameter to obtain a second index table;
[0105] Step 243: The second indicator table is integrated with the first discharge amount change curve and the first discharge parameter change curve to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
[0106] In this embodiment, the first indicator table refers to an indicator table composed of statistical indicators related to the discharge amount between turns of the winding of the target transformer extracted from a preset database, wherein the first indicator table only contains statistical indicators but does not contain indicator values.
[0107] In this embodiment, the second indicator table is obtained by filling the indicator values of the first indicator table with the first discharge capacity variation curve, the first discharge parameter variation curve and the corresponding discharge capacity and discharge parameter.
[0108] In this embodiment, the first processing discharge result refers to the result obtained by integrating the second indicator table with the first discharge amount change curve and the first discharge parameter change curve.
[0109] The beneficial effect of the above technical solution is: by combining multiple processing results to determine the processing result, a more accurate analysis can be performed, and at the same time, the evaluation and analysis of the operating status and discharge amount of the transformer can be made more accurate and effective.
[0110] Embodiment 5:
[0111] Based on the third embodiment, a discharge capacity analysis is performed on the first processing discharge result based on a preset discharge capacity analysis method to obtain a first analysis result, including:
[0112] Step 31: extracting a first discharge capacity analysis method set from a method database based on a real-time discharge capacity analysis requirement of a target transformer;
[0113] Step 32: acquiring a key discharge type corresponding to each first discharge capacity analysis method in the first discharge capacity analysis method set, and obtaining a first key discharge type set;
[0114] Wherein, each first key discharge type subset of the first key discharge type set corresponds to a first discharge amount analysis method;
[0115] Step 33: matching and analyzing the first processed discharge result with each key discharge type in the first key discharge type set, thereby obtaining a first key discharge analysis set;
[0116] Wherein, each key discharge analysis subset of the first key discharge analysis set includes each key discharge type of the current discharge capacity analysis method and the discharge analysis result corresponding to each key discharge type;
[0117] Step 34: determining whether there is a key discharge type in the first key discharge analysis set that does not match the discharge analysis result;
[0118] If there is a key discharge type that does not match the discharge analysis result, the first discharge amount analysis method corresponding to the current key discharge type is eliminated, thereby obtaining a second key discharge analysis set;
[0119] Otherwise, the first key discharge analysis set is used as the second key discharge analysis set;
[0120] Step 35: obtaining the historical error situation of each first discharge analysis method corresponding to the second key discharge analysis set, and sorting each second key discharge analysis subset in the second key discharge analysis set according to the historical error situation to obtain an ordered third key discharge analysis set;
[0121] Step 36: taking the third key discharge analysis subset corresponding to the first discharge capacity analysis method with the smallest historical error as the initial analysis result;
[0122] Step 37: Optimize the initial analysis result based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, so as to obtain a first analysis result of the target transformer winding turn-to-turn discharge amount.
[0123] In this embodiment, the real-time discharge analysis requirements include timeliness requirements, accuracy requirements, warning-related requirements, historical data comparison requirements, etc.
[0124] In this embodiment, the first discharge capacity analysis method set is a set of discharge capacity analysis methods extracted from a method database and meeting the real-time discharge capacity analysis requirements of a target transformer.
[0125] In this embodiment, the key discharge type refers to the type of key discharge capacity and discharge parameter that each first discharge capacity analysis method in the first discharge capacity analysis method set needs to detect and analyze.
[0126] In this embodiment, the first key discharge type set is a set of key discharge types corresponding to each method in the first discharge quantity analysis method set, and each key discharge type may correspond to one or more discharge analysis methods.
[0127] In this embodiment, the first processed discharge result refers to a result obtained after preliminary processing or measurement of the target transformer winding turn-to-turn discharge.
[0128] In this embodiment, the first key discharge analysis set is a set obtained by matching and analyzing the first processed discharge result with each key discharge type in the first key discharge type set, and each key discharge type and its corresponding discharge analysis result constitute a key discharge analysis subset.
[0129] In this embodiment, the unmatched discharge analysis result refers to that in the first key discharge analysis set, some key discharge types have no matching discharge analysis results.
[0130] In this embodiment, the second key discharge analysis set refers to a key discharge analysis set obtained after eliminating key discharge types with unmatched discharge analysis results and their corresponding first discharge quantity analysis methods.
[0131] In this embodiment, the historical error situation refers to the deviation or error situation between the analysis result and the actual discharge capacity of each discharge capacity analysis method in historical applications.
[0132] In this embodiment, the third key discharge analysis set is a set obtained by sorting each key discharge analysis subset in the second key discharge analysis set according to historical error conditions. The sorting is usually based on the error size, with the smallest error being placed at the front.
[0133] In this embodiment, the initial analysis result refers to selecting the third key discharge analysis subset corresponding to the first discharge quantity analysis method with the smallest historical error in the third key discharge analysis set as the initial analysis result.
[0134] In this embodiment, the first analysis result refers to further adjusting and improving the initial analysis result by using the remaining key discharge analysis subsets in the third key discharge analysis set to improve the accuracy and reliability of the analysis.
[0135] The beneficial effect of the above technical solution is that by optimizing the initial analysis results, the analysis of the inter-turn discharge amount of the winding of the target transformer can be made more accurate, thereby determining the inter-turn discharge amount of the winding of the target transformer more accurately and effectively.
[0136] Embodiment 6:
[0137] Based on Embodiment 5, the initial analysis result is optimized based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, including:
[0138] Step 361: sequentially acquiring corresponding third key discharge analysis subsets in order of historical error from small to large, and determining corresponding analysis influence weights T based on the historical error of each third key discharge analysis subset;
[0139] ; T is the analysis impact weight of the current third key discharge analysis subset, is the influence weight of the i-th key discharge type of the current third key discharge analysis subset on the discharge analysis result, is the discharge analysis result corresponding to the i-th key discharge type of the current third key discharge analysis subset, is the analysis conversion factor of the discharge analysis result corresponding to the i-th key discharge type, is the influence degree of the jth key discharge type on the ith key discharge type, k is a fixed amplification factor, where i is not equal to j, n is the number of key discharge types in the current third key discharge analysis subset, m is the number of remaining key discharge types in the current third key discharge analysis subset except the current key discharge type, and m=n-1;
[0140] Step 362: Optimize the corresponding initial analysis result by combining the analysis influence weight with the discharge analysis result of each third key discharge analysis subset.
[0141] In this embodiment, the analysis influence weight is comprehensively determined based on the historical error situation of each key discharge type in the third key discharge analysis subset and the mutual influence degree between the key discharge types.
[0142] The beneficial effect of the above technical solution is that by optimizing the initial analysis results, the analysis of the inter-turn discharge amount of the winding of the target transformer can be made more accurate, thereby determining the inter-turn discharge amount of the winding of the target transformer more accurately and effectively.
[0143] Embodiment 7:
[0144] Based on Example 5, the first analysis result is analyzed and optimized in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge amount of the target transformer, including:
[0145] Step 41: inputting relevant parameters of the preset monitoring device and the target transformer into the preset virtual machine, simulating the inter-turn discharge of the target transformer winding, thereby determining the simulated power difference between the power received by the preset monitoring device and the inter-turn discharge of the target transformer winding;
[0146] Step 42: Process the simulated power difference and obtain a simulated processing discharge result by combining the power received by the preset monitoring device in the virtual machine;
[0147] Step 43: performing a discharge capacity analysis on the simulated discharge result based on a preset discharge capacity analysis method to obtain a simulation analysis result;
[0148] Step 44: Compare the differences between the simulation analysis result and each sub-analysis result in the first analysis result, so as to perform analysis optimization and determine the comprehensive winding turn-to-turn discharge of the target transformer.
[0149] In this embodiment, the simulated power difference refers to the difference between the power received by the preset monitoring device and the actual discharge amount between the turns of the target transformer winding in the simulation when simulating the discharge between the turns of the target transformer winding in the preset virtual machine.
[0150] In this embodiment, the simulated processing discharge result refers to a simulation result on the inter-turn discharge of the target transformer winding obtained by processing the simulated electric quantity difference and combining it with the electric quantity received by the preset monitoring device in the virtual machine.
[0151] In this embodiment, the simulation analysis result refers to an analysis result obtained after performing a discharge capacity analysis on the simulation processing discharge result based on a preset discharge capacity analysis method.
[0152] In this embodiment, analysis optimization refers to adjusting and improving the first analysis result according to the difference between the simulation analysis result and the first analysis result, so as to improve the accuracy of discharge monitoring and analysis.
[0153] In this embodiment, the comprehensive winding turn-to-turn discharge amount refers to a comprehensive evaluation result of the target transformer winding turn-to-turn discharge amount determined after analysis and optimization.
[0154] The beneficial effect of the above technical solution is that by analyzing and optimizing the analysis results of the discharge amount, the discharge amount between the winding turns of the target transformer can be evaluated more accurately, thereby ensuring the safety and stability of its operation.
[0155] Embodiment 8:
[0156] Based on Example 7, the difference between the simulation analysis result and each sub-analysis result in the first analysis result is compared to perform analysis optimization, including:
[0157] If the difference between the simulation analysis result and each sub-analysis result in the first analysis result is greater than the standard difference, then the sub-analysis result of the first analysis result is analyzed and optimized based on the corresponding sub-analysis result of the simulation analysis result;
[0158] Otherwise, there is no need to perform analysis optimization on the first analysis result.
[0159] The beneficial effect of the above technical solution is that by analyzing and optimizing the analysis results of the discharge amount, the discharge amount between the winding turns of the target transformer can be evaluated more accurately, thereby ensuring the safety and stability of its operation.
[0160] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for determining the inter-turn discharge amount of transformer windings, characterized in that: include: Step 1: Based on a preset monitoring device, obtain the real-time discharge amount and corresponding real-time discharge parameters of the target transformer, and at the same time, obtain a first discharge amount set and a corresponding first discharge parameter set of the target transformer in the current discharge cycle; Step 2: Perform processing based on the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set to obtain a first processed discharge result; Step 3: performing a discharge capacity analysis on the first processed discharge result based on a preset discharge capacity analysis method to obtain a first analysis result; Step 4: Analyze and optimize the first analysis result in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge of the target transformer; The first processing discharge result is analyzed for discharge capacity based on a preset discharge capacity analysis method to obtain a first analysis result, including: Step 31: extracting a first discharge capacity analysis method set from a method database based on a real-time discharge capacity analysis requirement of a target transformer; Step 32: acquiring a key discharge type corresponding to each first discharge capacity analysis method in the first discharge capacity analysis method set, and obtaining a first key discharge type set; Wherein, each first key discharge type subset of the first key discharge type set corresponds to a first discharge amount analysis method; Step 33: matching and analyzing the first processed discharge result with each key discharge type in the first key discharge type set, thereby obtaining a first key discharge analysis set; Wherein, each key discharge analysis subset of the first key discharge analysis set includes each key discharge type of the current discharge capacity analysis method and the discharge analysis result corresponding to each key discharge type; Step 34: determining whether there is a key discharge type in the first key discharge analysis set that does not match the discharge analysis result; If there is a key discharge type that does not match the discharge analysis result, the first discharge amount analysis method corresponding to the current key discharge type is eliminated, thereby obtaining a second key discharge analysis set; Otherwise, the first key discharge analysis set is used as the second key discharge analysis set; Step 35: obtaining the historical error situation of each first discharge analysis method corresponding to the second key discharge analysis set, and sorting each second key discharge analysis subset in the second key discharge analysis set according to the historical error situation to obtain an ordered third key discharge analysis set; Step 36: taking the third key discharge analysis subset corresponding to the first discharge capacity analysis method with the smallest historical error as the initial analysis result; Step 37: optimizing the initial analysis result based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, thereby obtaining a first analysis result of the target transformer winding turn-to-turn discharge amount; The initial analysis result is optimized based on the remaining third key discharge analysis subsets in the third key discharge analysis set according to the historical error situation, including: Step 361: sequentially acquiring corresponding third key discharge analysis subsets in order of historical error from small to large, and determining corresponding analysis influence weights T based on the historical error of each third key discharge analysis subset; ; T is the analysis impact weight of the current third key discharge analysis subset, is the influence weight of the i-th key discharge type of the current third key discharge analysis subset on the discharge analysis result, is the discharge error of the historical discharge analysis result corresponding to the i-th key discharge type of the current third key discharge analysis subset, is the analytical conversion factor for the i-th key discharge type, is the influence degree of the jth key discharge type on the ith key discharge type, k is a fixed amplification factor, where i is not equal to j, n is the number of key discharge types in the current third key discharge analysis subset, m is the number of remaining key discharge types in the current third key discharge analysis subset except the current key discharge type, and m=n-1; Step 362: Optimize the corresponding initial analysis result by combining the analysis influence weight with the discharge analysis result of each third key discharge analysis subset.
2. The method for determining the inter-turn discharge amount of transformer winding according to claim 1, characterized in that: Based on the preset monitoring device, the real-time discharge amount and the corresponding real-time discharge parameter of the target transformer are obtained, and at the same time, the first discharge amount set and the corresponding first discharge parameter set of the target transformer in the current discharge cycle are obtained, including: Step 11: Connect the preset monitoring device to the target transformer and check the connection performance. If the connection performance is greater than the standard connection performance, the target transformer is monitored in real time based on the preset monitoring device. Step 12: Based on the preset monitoring equipment, the real-time discharge amount and real-time discharge parameters of the inter-turn winding of the monitoring target transformer are collected; Step 13: In the current discharge cycle, the discharge capacity data collected and monitored by the preset monitoring device is recorded and stored to obtain a first discharge capacity set, and at the same time, the discharge parameters corresponding to the first discharge capacity set are synchronously recorded to obtain a first discharge parameter set; The first discharge amount set does not include the real-time discharge amount, and the first discharge parameter set does not include the real-time discharge parameter.
3. The method for determining the inter-turn discharge amount of transformer winding according to claim 2, characterized in that: Processing is performed based on the real-time discharge amount, the real-time discharge parameter, the first discharge amount set, and the first discharge parameter set to obtain a first processed discharge result, including: Step 21: cleaning the real-time discharge amount, the real-time discharge parameter, the first discharge amount set and the first discharge parameter set, and sorting the first discharge amount set and the first discharge parameter set to obtain the processed discharge amount, the processed discharge parameter, the first processed discharge amount set and the first processed discharge parameter set; Step 22: sorting the processing discharge amount and the monitoring time of each first processing discharge amount in the first processing discharge amount set, and inputting the sorting results into the same coordinate system to obtain a first discharge amount change curve between turns of the target transformer winding; Step 23: sorting the processing discharge parameters and the monitoring time of each first processing discharge parameter in the first processing discharge parameter set, and inputting the sorting results into the same coordinate system to obtain a first discharge parameter change curve between turns of the target transformer winding; Step 24: The first discharge amount variation curve and the first discharge parameter variation curve are integrated to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
4. The method for determining the inter-turn discharge amount of transformer winding according to claim 3, characterized in that: The first discharge amount change curve and the first discharge parameter change curve are combined to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount, including: Step 241: extracting statistical indicators related to the inter-turn discharge amount of the winding of the target transformer based on a preset database to obtain a first indicator table; Step 242: filling the index values of the first index table based on the first discharge capacity change curve, the first discharge parameter change curve and the corresponding discharge capacity and discharge parameter to obtain a second index table; Step 243: The second indicator table is integrated with the first discharge amount change curve and the first discharge parameter change curve to obtain a first processed discharge result of the target transformer winding turn-to-turn discharge amount.
5. The method for determining the inter-turn discharge amount of transformer winding according to claim 1, characterized in that: The first analysis result is analyzed and optimized in combination with the real-time error of the target transformer to determine the comprehensive winding turn-to-turn discharge of the target transformer, including: Step 41: inputting relevant parameters of the preset monitoring device and the target transformer into the preset virtual machine, simulating the inter-turn discharge of the target transformer winding, and thus determining the simulated power difference between the power received by the preset monitoring device and the inter-turn discharge of the target transformer winding; Step 42: Process the simulated power difference and obtain a simulated processing discharge result by combining the power received by the preset monitoring device in the virtual machine; Step 43: performing a discharge capacity analysis on the simulated discharge result based on a preset discharge capacity analysis method to obtain a simulation analysis result; Step 44: Compare the differences between the simulation analysis result and each sub-analysis result in the first analysis result, so as to perform analysis optimization and determine the comprehensive winding turn-to-turn discharge of the target transformer.
6. A method for determining the inter-turn discharge amount of transformer windings according to claim 5, characterized in that: Compare the difference between the simulation analysis result and each sub-analysis result in the first analysis result, so as to perform analysis optimization, including: If the difference between the simulation analysis result and each sub-analysis result in the first analysis result is greater than the standard difference, then the sub-analysis result of the first analysis result is analyzed and optimized based on the corresponding sub-analysis result of the simulation analysis result; Otherwise, there is no need to perform analysis optimization on the first analysis result.