Simulation method and device for magnetic leakage effect of transformer, computer equipment, readable storage medium and program product
By simplifying the model and dividing the transformer, and using the three-dimensional time-harmonic field vector magnetic position algorithm for simulation calculation, the problem of difficulty in accurately calculating magnetic density and loss parameters in the existing technology is solved, and the accuracy of the transformer leakage magnetic distribution simulation is improved and design reliability.
Patent Information
- Application Number
- CN202410937847.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-12
- Publication Date
- 2024-12-13
AI Technical Summary
The prior art is difficult to accurately calculate the magnetic density and loss parameters of the transformer, resulting in local overheating caused by magnetic leakage and damage to the insulating parts, reducing the operating reliability and life of the transformer.
By obtaining the transformer model, simplifying the processing, dividing it into multiple component models for three-dimensional harmonic field vector magnetic position algorithm simulation calculation, obtaining the leakage magnetic distribution of each component, and combining it to improve the simulation accuracy.
It reduces the error of the overall transformer leakage magnetic analysis, improves the accuracy of leakage magnetic distribution simulation, reduces the calculation complexity and time, and enhances the reliability of transformer design.
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Figure CN119129169A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of electromagnetic field simulation technology, and in particular to a simulation method, device, computer equipment, computer-readable storage medium and computer program product for transformer leakage magnetic effect. Background Art
[0002] The voltage level and capacity of the transformer are gradually increasing, the leakage flux is getting stronger and stronger, and the leakage magnetic effect problem caused by this has become prominent. In large power transformers, the leakage magnetic field generated by the winding current will cause losses in the metal structural parts, and because the windings are unevenly distributed on the metal structural parts, the losses concentrated in a small area often cause local overheating of the structural parts. The temperature rise of each component of the transformer will cause the decomposition of the transformer oil, accelerate the thermal aging of the insulating parts, and destroy the insulation. In addition, local overheating at the edge of the box will cause the sealing gasket to undergo qualitative changes and damage, resulting in oil leakage. These problems greatly reduce the operating reliability of the transformer and affect the operating life of the transformer. Therefore, it is very necessary to accurately grasp the magnetic field distribution of the transformer for transformer design and manufacturing.
[0003] At present, the three-dimensional magnetic field of the transformer is mainly simulated and analyzed through the formula analysis method. However, most of the structural parts of the transformer have complex geometric shapes and nonlinear material properties, so the commonly used formula analysis method is difficult to accurately calculate the magnetic flux density and loss parameters of the transformer. Summary of the invention
[0004] Based on this, it is necessary to provide a simulation method, device, computer equipment, computer-readable storage medium and computer program product for transformer leakage magnetic effect in order to solve the above technical problems.
[0005] In a first aspect, the present application provides a method for simulating the leakage magnetic effect of a transformer, comprising:
[0006] Obtain a first transformer model of the transformer to be analyzed;
[0007] Simplifying the first transformer model to obtain a second transformer model;
[0008] Extracting a plurality of component models from the second transformer model, performing simulation calculations on the plurality of component models, and obtaining magnetic flux leakage distribution of each component;
[0009] The magnetic flux leakage distributions of the components are combined to obtain the magnetic flux leakage distribution of the transformer to be analyzed.
[0010] In one embodiment, the first transformer model includes an iron core model, an oil tank model and a winding model, and the first transformer model is simplified to obtain a second transformer model, including:
[0011] Setting material properties of the core model and the oil tank model of the first transformer model;
[0012] Setting the ampere-turn property of the winding model of the first transformer model;
[0013] Deleting the turn insulation, spacers, stays and conductor transposition of the winding model of the first transformer model;
[0014] The component sizes of the first transformer model and the conductivity of the metal material are set to preset values, and the iterative control error for solving the nonlinear equation group is set to a preset value to obtain the second transformer model.
[0015] In one embodiment, setting the material properties of the core and the oil tank of the first transformer model includes:
[0016] The core and tank of the first transformer model are set as nonlinear isotropic materials.
[0017] In one embodiment, setting the winding ampere-turn property of the first transformer model includes:
[0018] The winding of the first transformer model is set to be ampere-turn balanced, and the current distribution of each ampere-turn partition of the winding is set to be uniform.
[0019] In one embodiment, a plurality of component models are extracted from the second transformer model, and simulation calculations are performed on the plurality of component models to obtain the magnetic flux leakage distribution of each component, including:
[0020] According to the component structure of the transformer to be analyzed, dividing the first transformer model into a plurality of component models;
[0021] According to the three-dimensional time-harmonic field vector magnetic potential algorithm, simulation calculations are performed on the multiple component models to obtain the magnetic leakage distribution of each component.
[0022] In one of the embodiments, the plurality of component models include a core model, a pull plate model, a winding model, a clamp model, an oil tank model and a clamp magnetic shielding layer model.
[0023] In a second aspect, the present application also provides a simulation device for transformer leakage magnetic effect, comprising:
[0024] A first transformer model acquisition module, used to acquire a first transformer model of the transformer to be analyzed;
[0025] A second transformer model acquisition module, used for simplifying the first transformer model to obtain a second transformer model;
[0026] A component leakage magnetic distribution acquisition module, used to extract multiple component models from the second transformer model, perform simulation calculations on the multiple component models, and obtain the leakage magnetic distribution of each component;
[0027] The transformer leakage magnetic distribution acquisition module is used to combine the leakage magnetic distributions of the components to obtain the leakage magnetic distribution of the transformer to be analyzed.
[0028] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the above method.
[0029] In a fourth aspect, the present application further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to execute the above method.
[0030] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and the computer program is executed by a processor to execute the above method.
[0031] The simulation method, device, computer equipment, computer-readable storage medium and computer program product of the transformer leakage magnetic effect mentioned above obtain a first transformer model of the transformer to be analyzed; simplify the first transformer model to obtain a second transformer model; extract multiple component models from the second transformer model, simulate and calculate the multiple component models to obtain the leakage magnetic distribution of each component; combine the leakage magnetic distribution of each component to obtain the leakage magnetic distribution of the transformer to be analyzed. The present application divides the second transformer model into multiple component models, performs separate leakage magnetic analysis on the multiple component models to obtain the leakage magnetic distribution of each component, combines the leakage magnetic distribution of each component to obtain the leakage magnetic distribution of the transformer to be analyzed, reduces the error of performing a one-time overall transformer leakage magnetic analysis, and improves the accuracy of the transformer leakage magnetic distribution simulation. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0033] Figure 1 is an application environment diagram of a simulation method for transformer leakage magnetic effect in one embodiment;
[0034] Figure 2 is a flow chart of a method for simulating transformer leakage magnetic effect in one embodiment;
[0035] Figure 3 is a structural schematic diagram of a second transformer model in one embodiment;
[0036] Figure 4 A schematic diagram of magnetic flux leakage distribution of the main air path of the winding in one embodiment;
[0037] Figure 5 A schematic diagram of magnetic flux leakage distribution of a pull plate in one embodiment;
[0038] Figure 6 is a schematic diagram of magnetic flux leakage distribution of a clamp in one embodiment;
[0039] Figure 7 A schematic diagram of magnetic flux leakage distribution of an oil tank in one embodiment;
[0040] Figure 8 A schematic diagram of magnetic flux leakage distribution of a clamp magnetic shield in one embodiment;
[0041] Fig. 9 A schematic diagram of a winding main air path measurement point in an embodiment;
[0042] Fig.10 A schematic diagram of measuring points of a pull plate and a clamp in one embodiment;
[0043] Fig.11 A schematic diagram of a fuel tank measurement point in an embodiment;
[0044] Fig.12 A schematic diagram of measuring points of a magnetic shielding layer of a clamp in one embodiment;
[0045] Fig.13 is a structural block diagram of a simulation device for transformer leakage magnetic effect in one embodiment;
[0046] Fig.14 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0048] The present application embodiment provides a method for simulating the leakage magnetic effect of a transformer. The present embodiment can be executed by a computer device, such as Figure 1As shown, the computer device can obtain the first transformer model of the transformer to be analyzed, and then obtain the leakage magnetic distribution of the transformer to be analyzed. It can be understood that the computer device can be implemented by a server, a terminal, or an interactive system between a terminal and a server. In this embodiment, the method includes Figure 2 The steps shown are:
[0049] Step S201, obtaining a first transformer model of a transformer to be analyzed.
[0050] The transformer to be subjected to magnetic leakage analysis is referred to as a transformer to be analyzed. A first transformer model can be obtained according to the transformer to be analyzed.
[0051] Step S202: simplify the first transformer model to obtain a second transformer model.
[0052] When simulating and analyzing the magnetic field (or leakage magnetic effect) of the transformer, the three-dimensional time-harmonic field vector magnetic potential algorithm can be used. In order to make the calculation results meet the transformer design error requirements, the number of subdivided units is usually around several million, the required calculation memory exceeds 3G, and the calculation time is as long as several hours. Therefore, it is necessary to reasonably simplify the transformer model to reduce the calculation memory and shorten the calculation time while ensuring that the calculation accuracy meets the engineering requirements.
[0053] The first transformer model (also called the initial transformer model) can be simplified by setting corresponding problem-solving parameters. Specifically, boundary conditions, calculation accuracy, selected material properties and solution options can be set for the first transformer model to obtain a second transformer model (also called a simplified transformer model). The second transformer model can simulate various performance data under the actual operating state of the transformer, and can reduce the complexity of leakage magnetic analysis of the transformer to be analyzed, thereby reducing computing memory and reducing computing time.
[0054] Taking a 110kV three-phase three-column transformer as an example, the second transformer model is as follows: Figure 3 As shown, the components of the second transformer model include an iron core, a pull plate, a winding, a clamp, an oil tank, and a clamp magnetic shielding layer. The iron core is arranged on the outer surface of the oil tank; the clamp includes an upper clamp and a lower clamp; the upper clamp is arranged above the winding, and the lower clamp is arranged below the winding; the winding includes a low-voltage winding and a high-voltage winding; the clamp magnetic shielding layer is arranged on the surface of the upper clamp and the lower clamp close to the low-voltage winding; the pull plate, the low-voltage winding, and the high-voltage winding are all cylindrical; the iron core, the pull plate, the low-voltage winding, and the high-voltage winding are arranged in sequence from the inside to the outside.
[0055] Step S203: extract multiple component models from the second transformer model, perform simulation calculations on the multiple component models, and obtain the magnetic flux leakage distribution of each component.
[0056] A plurality of component models can be extracted from the second transformer model, and the leakage magnetic distribution of each component can be obtained by simulating and calculating the plurality of component models using a three-dimensional time-harmonic field vector magnetic potential (A-V-A) method.
[0057] Step S204, combining the magnetic flux leakage distributions of the components to obtain the magnetic flux leakage distribution of the transformer to be analyzed.
[0058] The magnetic flux leakage distribution of each component can be combined according to the actual component composition of the transformer to be analyzed to obtain the magnetic flux leakage distribution of the transformer to be analyzed.
[0059] In the simulation method of the transformer leakage magnetic effect, the second transformer model is divided into multiple component models, and separate leakage magnetic analysis is performed on the multiple component models to obtain the leakage magnetic distribution of each component. The leakage magnetic distribution of each component is combined to obtain the leakage magnetic distribution of the transformer to be analyzed, thereby reducing the error of performing a one-time overall transformer leakage magnetic analysis and improving the accuracy of the transformer leakage magnetic distribution simulation.
[0060] In one embodiment, the first transformer model includes an iron core model, an oil tank model and a winding model. The first transformer model is simplified to obtain a second transformer model. The specific steps are as follows: setting the material properties of the iron core model and the oil tank model of the first transformer model; setting the ampere-turn property of the winding model of the first transformer model; deleting the turn insulation, spacers, struts and wire transposition of the winding model of the first transformer model; setting the component size of the first transformer model and the conductivity of the metal material to preset values, and setting the iterative control error for solving the nonlinear equation group to a preset value to obtain the second transformer model.
[0061] When simulating the transformer leakage magnetic effect, in order to accurately simulate the electromagnetic characteristics of the transformer, it is necessary to set the material properties of the core model and the oil tank model of the first transformer model. The material properties of the core and the oil tank have an impact on the magnetic field distribution, magnetic permeability, and magnetic field saturation performance of the transformer. Setting the material properties of the core can affect the intensity and distribution of the magnetic field in the simulation results. The magnetic permeability, magnetic saturation performance, and hysteresis characteristics of the core material will affect the propagation mode of the magnetic field in the core, and thus affect the generation and propagation of the leakage magnetic field. Correctly setting the material properties of the core can more accurately simulate the magnetic field distribution in the transformer, and thus obtain accurate simulation results of the leakage magnetic effect. The material properties of the oil tank will affect the diffusion and propagation of the magnetic field in the leakage magnetic effect simulation. As the outer shell of the transformer, the electromagnetic properties of the material of the oil tank will affect the propagation path and range of the leakage magnetic field. Accurately setting the material properties of the oil tank can more realistically simulate the propagation of the leakage magnetic field in the external space, helping to evaluate and optimize the design of the transformer.
[0062] By setting the ampere-turn property of the winding model of the first transformer model, the electrical characteristics and performance of the transformer can be simulated more accurately, and the influence of the leakage magnetic effect on the transformer can be evaluated.
[0063] According to the three-dimensional time-harmonic field calculation, when establishing the first transformer model, the turn insulation, spacers, and stays of the transformer windings can be ignored, and the influence of the conductor transposition can be ignored, so as to reduce the complexity of the leakage magnetic analysis, thereby reducing the calculation memory and shortening the calculation time.
[0064] The preset value can be determined according to the actual situation. The maximum value of the component size of the first transformer model can be set to the preset maximum value, and the minimum value of the component size can be set to the preset minimum value; the conductivity of the metal material of the first transformer model can be set to the corresponding value of the preset temperature; and the iterative control error for solving the nonlinear equation group can be set to the preset error value. Specifically, the maximum value of the component size of the first transformer model can be set to 50mm, and the minimum value of the component size can be set to 5mm; the conductivity of the metal material of the first transformer model can be set to the corresponding value at 20°C, where the material properties are shown in Table 1; the iterative control error for solving the nonlinear equation group can be set to 0.001%; and other options can be set to default values.
[0065] Table 1 Material properties
[0066]
[0067] Through the above setting method, deletion method and setting method, the second transformer model can be obtained.
[0068] In this embodiment, by setting the material properties of the core model and the oil tank model of the first transformer model and the ampere-turn properties of the winding model, deleting the turn insulation, spacers, struts and wire transposition of the winding model of the first transformer model, and setting the component size of the first transformer model and the conductivity of the metal material to preset values, and setting the iterative control error for solving the nonlinear equation group to a preset value, the second transformer model is obtained, the complexity of the leakage magnetic analysis is reduced, thereby reducing the calculation memory and shortening the calculation time.
[0069] In one embodiment, the material properties of the iron core and the oil tank of the first transformer model are set, and the specific steps are as follows: the iron core and the oil tank of the first transformer model are set as nonlinear isotropic materials.
[0070] The iron core and the oil tank usually exhibit nonlinear characteristics when subjected to a magnetic field, that is, their magnetic permeability changes with the change of the magnetic field strength. By setting the iron core and the oil tank as nonlinear materials, the magnetic field distribution and leakage magnetic effect of the transformer under actual working conditions can be simulated more accurately. In addition, the iron core and the oil tank are usually isotropic materials, that is, their magnetic properties are the same in all directions. By setting the iron core and the oil tank as isotropic materials, the first transformer model can be simplified and the magnetic field response of the first transformer model in different directions can be better described.
[0071] In this embodiment, the iron core and the oil tank of the first transformer model are set to be nonlinear isotropic materials, which can more realistically simulate the electromagnetic characteristics of the transformer and improve the accuracy and reliability of the simulation of the transformer leakage magnetic effect.
[0072] In one embodiment, the ampere-turn property of the winding of the first transformer model is set, and the specific steps are as follows: the winding of the first transformer model is set to be ampere-turn balanced, and the current distribution of each ampere-turn partition of the winding is set to be uniform.
[0073] The winding of the first transformer model is set to be ampere-turn balanced, and the current distribution of each ampere-turn partition of the winding is set to be uniform. The possible circulating current in the winding, the eddy current effect in the core, and the influence of the circulating current and eddy current effect on the leakage magnetic distribution are ignored. This can more accurately simulate the electrical characteristics and performance of the transformer, and improve the accuracy and reliability of the simulation of the transformer leakage magnetic effect.
[0074] In one of the embodiments, multiple component models are extracted from the second transformer model, and simulation calculations are performed on the multiple component models to obtain the leakage magnetic distribution of each component. The specific steps are as follows: according to the component structure of the transformer to be analyzed, the first transformer model is divided into multiple component models; according to the three-dimensional time-harmonic field vector magnetic potential algorithm, simulation calculations are performed on the multiple component models to obtain the leakage magnetic distribution of each component.
[0075] The component structure of the transformer to be analyzed includes an iron core, a pull plate, a winding, a clamp, an oil tank and a clamp magnetic shielding layer. The first transformer model can be divided into multiple component models according to the component structure of the transformer to be analyzed.
[0076] For any component model, the component model can be simulated and calculated according to the three-dimensional time-harmonic field vector magnetic potential algorithm to obtain the leakage magnetic distribution of the component model.
[0077] Specifically, for the winding model, the leakage magnetic distribution of the winding main air channel can be calculated through the three-dimensional time-harmonic field vector magnetic potential algorithm. The winding main air channel refers to the space between the high and low voltage windings in the radial direction of the winding. The main air channel is filled with transformer oil and insulating materials. The leakage magnetic flux of the winding main air channel is the largest in the radial middle.
[0078] The calculation formula for the magnetic flux leakage of the main air path of the winding is shown in formula (1).
[0079] (1)
[0080] in, is the leakage flux of the main air path of the winding, is the winding current value, is the number of turns of the winding, The reactance of the winding is high.
[0081] The leakage magnetic distribution of the winding main air channel is as follows Figure 4 As shown in the figure, the Chinese name of Shaded Plot is shadow plot, and the Chinese name of smoothed is smooth. The winding magnetic field of the transformer during operation is mainly the leakage magnetic field generated by the load current. The leakage magnetic field is mainly distributed in the main air channel, and the magnetic density in the middle of the main air channel is large, while the magnetic density at both ends is small. The maximum value of the magnetic density of the main air channel is in the middle of the winding, which is 0.285T.
[0082] The pull plate is located on the inner diameter side of the low-voltage winding, close to the smallest level of the iron core. The material of the pull plate is a non-magnetic steel plate. During the simulation analysis, the method of improving the calculation accuracy and encrypting the mesh is used to calculate the leakage magnetic distribution of the pull plate.
[0083] The magnetic flux leakage distribution of the pull plate is as follows Figure 5 As shown, RMS in Chinese means effective value. The leakage flux of the pull plate is the largest at the upper and lower ends of the low-voltage winding. The maximum magnetic flux density of the pull plate is near the ends of the pull plate, corresponding to the ends of the winding, which is 0.07T.
[0084] The leakage flux leaves radially from the end of the low-voltage winding and enters the pull plate approximately vertically. Therefore, the eddy current loss of the pull plate is mainly concentrated in the position flush with the end of the winding, and is symmetrically distributed along the central axis of the width direction of the pull plate. Therefore, it is possible to cause local overheating at a position flush with the end of the winding. The loss of the pull plate can be reduced by slotting the pull plate, and the local overheating phenomenon of the pull plate can be improved. Different numbers of slots and slot widths affect the leakage flux distribution and loss of the pull plate. After the pull plate is slotted, the loss can be reduced to less than 50%. Therefore, under the premise of ensuring the temperature rise, mechanical strength and manufacturing process of the pull plate, the more slots there are, the smaller the loss.
[0085] The material of the clamp is magnetic steel plate. During the simulation analysis, the leakage magnetic distribution of the clamp is calculated by improving the calculation accuracy, encrypting the grid division, layer division, and considering the penetration depth.
[0086] The leakage magnetic distribution of the clamp is as follows: Figure 6As shown, the leakage flux of the upper clamp is concentrated in the lower part of the upper clamp, and the leakage flux of the lower clamp is concentrated in the upper part of the lower clamp. The maximum magnetic density of the clamp is in the upper part of the lower clamp, which is 0.91T.
[0087] Under the effect of magnetic leakage, the clamps of the transformer will have large eddy current losses and may cause local overheating. In order to suppress the eddy current losses and temperature rise of the transformer clamps, magnetic shielding structures can be installed, such as L-shaped magnetic shielding structures, strip magnetic shielding, lung-shaped magnetic shielding and other different magnetic shielding to adapt to products with different structures, thereby effectively reducing the eddy current losses of the clamps and alleviating the temperature rise problem of the transformer clamps.
[0088] The material of the oil tank is magnetic steel plate. During the simulation analysis, the leakage magnetic distribution of the oil tank is calculated by improving the calculation accuracy, encrypting the grid division, layer division, and considering the penetration depth. Figure 7 As shown, the leakage magnetic flux of the oil tank is concentrated at the position closest to the winding, and the maximum magnetic flux density of the oil tank is at the position closest to the device body, which is 0.5T.
[0089] The leakage magnetic flux of large-capacity transformers is relatively large, which may cause local overheating of the oil tank. Magnetic shielding or electric shielding can be used to improve the magnetic density distribution of the oil tank and reduce the loss of the oil tank.
[0090] Silicon steel sheets are used as the material for the magnetic shielding of the clamp. The leakage magnetic distribution of the magnetic shielding is calculated by improving the calculation accuracy and encrypting the grid during simulation analysis. Figure 8 As shown, the leakage magnetic field of the magnetic shielding layer of the clip is concentrated at the position where the winding is set below, and the maximum magnetic shielding value is 1.87T.
[0091] For transformer clamps under strong leakage magnetic fields, there is a risk of local overheating. The magnetic field can be improved by adding a magnetic shielding layer, thereby improving the temperature rise problem of the clamps.
[0092] In this embodiment, a relatively accurate magnetic leakage distribution of each component is obtained based on the component structure of the transformer to be analyzed and a three-dimensional time-harmonic field vector magnetic potential algorithm.
[0093] In one embodiment, the plurality of component models include a core model, a pull plate model, a winding model, a clamp model, an oil tank model, and a clamp magnetic shielding layer model.
[0094] The component structure of the transformer to be analyzed includes an iron core, a pull plate, a winding, a clamp, an oil tank and a clamp magnetic shielding layer. According to the component structure of the transformer to be analyzed, the first transformer model can be divided into multiple component models, namely, an iron core model, a pull plate model, a winding model, a clamp model, an oil tank model and a clamp magnetic shielding layer model.
[0095] After the leakage magnetic distribution of the transformer to be analyzed is obtained according to the simulation method of the transformer leakage magnetic effect of the present application, the leakage magnetic distribution of the transformer to be analyzed (which may be referred to as the simulation result) may be tested and verified.
[0096] Considering the characteristics of transformer leakage magnetic distribution, a magnetic field sensor can be used as a measuring tool, because the magnetic field sensor has good sensitivity to magnetic field changes and is not affected by temperature. The shape and size of the measuring sensor can be determined according to the shape and distribution of the magnetic field. The magnetic field detection system is mainly composed of a measuring sensor, connecting leads and an oscilloscope. According to Faraday's electromagnetic induction principle, the induced voltage of the magnetic field sensor can be measured with an oscilloscope to determine the value of the magnetic induction intensity (i.e., magnetic flux density) B.
[0097] Since the magnetic flux leakage distribution of the high-voltage side and the low-voltage side of the 110kV transformer is basically symmetrical, the low-voltage side can be selected for inspection and verification. Select representative measurement points on the transformer body for magnetic flux density measurement, such as Figures 9 to 12 As shown, this application selects key points that can more intuitively reflect the comparison between simulation results and test results as the measurement position of the sensor. Since the sensor for measuring magnetic density can only be attached to the measured component, the actual magnetic density value of the sensor is actually the magnetic density value in the air near the component.
[0098] Specifically, the winding main air path measurement points are as follows: Fig. 9 As shown in the figure, measuring point 1 is located in the lower space of the upper clamp, at the upper end of the main air channel of the C-phase winding, 110 mm away from the winding end. Fig.10 As shown, measurement point 2 is located on the outer surface of the B phase pull plate, 300mm from the upper end of the pull plate. Measurement point 3 is located on the outer surface of the upper clamp on the low pressure side, between phases. Fig.11 As shown, measurement point 4 is located on the inner surface of the side wall of the upper oil tank, near the corresponding position of the winding height. Fig.12 As shown, measuring points 5 and 6 are respectively located at the phase positions of the magnetic shielding layer of the lower clamp on the low-voltage side.
[0099] According to the distribution of the magnetic field sensor measurement position, the signal detection is carried out on site to obtain the magnetic density value of each measurement point. Since the magnetic field measurement sensor is attached to the surface of the structure, the detection signal of measurement points 2, 3, and 4 is the magnetic density distribution in the air near the structure. The comparison of the detection results and simulation results of the specific measurement points is shown in Table 2.
[0100] Table 2 Comparison of test results and simulation results (unit: T)
[0101]
[0102] According to the parameter comparison analysis in Table 2, the simulation results are slightly larger than the test results. The maximum deviation of the data at the six measurement points is 8%, the minimum deviation is 1.1%, and the average deviation is 4.7%.
[0103] In summary, the leakage magnetic field of a 110kV transformer was analyzed using simulation software, and on-site detection was carried out on the key points of the leakage magnetic effect on the actual transformer. The test results were compared with the simulation results. The magnitudes of various parameters in the two cases were reasonable, and various deviations met the engineering requirements.
[0104] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0105] Based on the same inventive concept, the embodiment of the present application also provides a simulation device for transformer leakage magnetic effect for implementing the simulation method for transformer leakage magnetic effect involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more simulation devices for transformer leakage magnetic effect provided below can refer to the limitations of the simulation method for transformer leakage magnetic effect above, and will not be repeated here.
[0106] In an exemplary embodiment, Fig.13 As shown, a simulation device for transformer leakage magnetic effect is provided, wherein:
[0107] A first transformer model acquisition module 1301 is used to acquire a first transformer model of the transformer to be analyzed;
[0108] A second transformer model acquisition module 1302, configured to simplify the first transformer model to obtain a second transformer model;
[0109] A component leakage magnetic distribution acquisition module 1303 is used to extract multiple component models from the second transformer model, perform simulation calculations on the multiple component models, and obtain the leakage magnetic distribution of each component;
[0110] The transformer leakage magnetic distribution acquisition module 1304 is used to combine the leakage magnetic distributions of the components to obtain the leakage magnetic distribution of the transformer to be analyzed.
[0111] In one embodiment, the second transformer model acquisition module 1302 is also used to: set the material properties of the core model and the oil tank model of the first transformer model; set the ampere-turn properties of the winding model of the first transformer model; delete the turn insulation, spacers, struts and wire transposition of the winding model of the first transformer model; set the component size and electrical conductivity of the metal material of the first transformer model to preset values, and set the iterative control error for solving the nonlinear equation group to a preset value to obtain the second transformer model.
[0112] In one embodiment, the second transformer model acquisition module 1302 is further used to: set the iron core and the oil tank of the first transformer model as nonlinear isotropic materials.
[0113] In one embodiment, the second transformer model acquisition module 1302 is further used to: set the winding of the first transformer model to be ampere-turn balanced, and set the current distribution of each ampere-turn partition of the winding to be uniform.
[0114] In one of the embodiments, the component leakage magnetic distribution acquisition module 1303 is further used to: divide the first transformer model into multiple component models according to the component structure of the transformer to be analyzed; and perform simulation calculations on the multiple component models according to a three-dimensional time-harmonic field vector magnetic potential algorithm to obtain the leakage magnetic distribution of each component.
[0115] In one of the embodiments, the plurality of component models include a core model, a pull plate model, a winding model, a clamp model, an oil tank model and a clamp magnetic shielding layer model.
[0116] Each module in the above-mentioned transformer leakage magnetic effect simulation device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.
[0117] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.14As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data of a simulation method of transformer leakage magnetic effect. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a simulation method of transformer leakage magnetic effect is implemented.
[0118] Those skilled in the art will understand that Fig.14 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0119] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.
[0120] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.
[0121] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.
[0122] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0123] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0124] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0125] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A simulation method for transformer leakage magnetic effect, characterized in that: The method comprises: Obtain a first transformer model of the transformer to be analyzed; Simplifying the first transformer model to obtain a second transformer model; Extracting a plurality of component models from the second transformer model, performing simulation calculations on the plurality of component models, and obtaining magnetic flux leakage distribution of each component; The magnetic flux leakage distributions of the components are combined to obtain the magnetic flux leakage distribution of the transformer to be analyzed.
2. The method according to claim 1, characterized in that The first transformer model includes an iron core model, an oil tank model and a winding model. The first transformer model is simplified to obtain a second transformer model, including: Setting material properties of the core model and the oil tank model of the first transformer model; Setting the ampere-turn property of the winding model of the first transformer model; Deleting the turn insulation, spacers, stays and conductor transposition of the winding model of the first transformer model; The component sizes of the first transformer model and the conductivity of the metal material are set to preset values, and the iterative control error for solving the nonlinear equation group is set to a preset value to obtain the second transformer model.
3. The method according to claim 2, characterized in that The step of setting material properties of the core and the oil tank of the first transformer model includes: The core and tank of the first transformer model are set as nonlinear isotropic materials.
4. The method according to claim 2, characterized in that: The step of setting the winding ampere-turn attribute of the first transformer model includes: The winding of the first transformer model is set to be ampere-turn balanced, and the current distribution of each ampere-turn partition of the winding is set to be uniform.
5. The method according to claim 1, characterized in that Extracting a plurality of component models from the second transformer model, performing simulation calculations on the plurality of component models, and obtaining magnetic flux leakage distribution of each component, including: According to the component structure of the transformer to be analyzed, dividing the first transformer model into a plurality of component models; According to the three-dimensional time-harmonic field vector magnetic potential algorithm, simulation calculations are performed on the multiple component models to obtain the magnetic leakage distribution of each component.
6. The method according to claim 1, characterized in that The plurality of component models include an iron core model, a pull plate model, a winding model, a clamp model, an oil tank model and a clamp magnetic shielding layer model.
7. A simulation device for transformer leakage magnetic effect, characterized in that: The device comprises: A first transformer model acquisition module, used to acquire a first transformer model of the transformer to be analyzed; A second transformer model acquisition module, used for simplifying the first transformer model to obtain a second transformer model; A component leakage magnetic distribution acquisition module, used to extract multiple component models from the second transformer model, perform simulation calculations on the multiple component models, and obtain the leakage magnetic distribution of each component; The transformer leakage magnetic distribution acquisition module is used to combine the leakage magnetic distributions of the components to obtain the leakage magnetic distribution of the transformer to be analyzed.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.