Transformer electromagnetic thermal analysis method, device and equipment and storage medium

Abstract

The invention discloses a transformer electromagnetic thermal analysis method, device and equipment and a storage medium, relates to the technical field of transformer design, and discloses a transformer electromagnetic thermal analysis method comprising the following steps: obtaining design size parameters of a transformer; determining a transformer geometric model and a model description configuration file based on the design size parameters; performing electromagnetic field simulation on the transformer geometric model based on component material setting parameters, excitation current setting parameters, coil structure setting parameters, tapping setting working conditions and the model description configuration file to obtain magnetic field loss distribution data; performing temperature field simulation on the transformer geometric model based on the structural member oil flow information, the convection coefficient setting parameter and the magnetic field loss distribution data to obtain temperature rise data; and generating a transformer electromagnetic thermal analysis report based on the magnetic field loss distribution data and the temperature rise data. According to the scheme, unification of design and verification models can be realized in the electromagnetic thermal analysis process of the transformer, so that the verification period is shortened.

Description

Technical Field

[0001] This application relates to the field of transformer design technology, and in particular to methods, apparatus, equipment and storage media for electromagnetic and thermal analysis of transformers. Background Technology

[0002] During transformer operation, the internal magnetic flux distribution and heat generated by losses directly determine the temperature rise level of the equipment. Excessive temperature will cause problems such as core saturation, a surge in winding losses, and accelerated aging of insulation materials, seriously affecting the operational stability and reliability of the transformer. Therefore, thermal analysis and optimization are necessary in the magnetic design of transformers to improve their stability and reliability.

[0003] Currently, traditional transformer electromagnetic thermal design verification requires designers to first complete a three-dimensional solid model, and then verification personnel to draw the verification model from scratch and obtain simulation results to feed back to the designers.

[0004] However, in traditional methods, the design and verification models are independent, resulting in a large amount of repetitive modeling work, more than doubling the verification cycle, and making it difficult to update the two models synchronously after design changes, which easily leads to inconsistencies. Therefore, how to unify the design and verification models in the process of transformer electromagnetic thermal analysis to shorten the verification cycle has become an issue to be addressed. Summary of the Invention

[0005] The main objective of this application is to provide a method, apparatus, equipment, and storage medium for electromagnetic thermal analysis of transformers, aiming to solve the technical problem of how to unify the design and verification models during the electromagnetic thermal analysis process of transformers, so as to shorten the verification cycle.

[0006] To achieve the above objectives, this application proposes a method for electromagnetic thermal analysis of transformers, the method comprising: Obtain the design dimensions of the transformer; The transformer geometric model and model description configuration file are determined based on the design dimensional parameters; The system acquires the component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions. Based on these parameters and the model description configuration file, it performs electromagnetic field simulation on the transformer geometric model to obtain magnetic field loss distribution data. The oil flow information and convection coefficient setting parameters of the structural components are obtained, and the temperature field simulation of the transformer geometric model is performed based on the oil flow information, convection coefficient setting parameters and magnetic field loss distribution data to obtain temperature rise data; An electromagnetic thermal analysis report of the transformer is generated based on magnetic field loss distribution data and temperature rise data.

[0007] In one embodiment, the steps of acquiring component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions, and performing electromagnetic field simulation on the transformer geometric model based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and model description configuration file to obtain magnetic field loss distribution data include: Obtain the coil verification identifier, wherein the coil verification identifier is used to determine whether to perform electromagnetic field simulation on the coil; Electromagnetic verification supplementary parameters are read from the model description configuration file based on the coil verification identifier; Electromagnetic field simulation was performed on the transformer geometric model based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and electromagnetic verification supplementary parameters to obtain magnetic field loss distribution data.

[0008] In one embodiment, the steps of acquiring oil flow information and convection coefficient setting parameters for structural components, and performing temperature field simulation on the transformer geometric model based on the oil flow information, convection coefficient setting parameters, and magnetic field loss distribution data to obtain temperature rise data include: The eddy current loss value of the user-selected structural component is obtained based on the magnetic field loss distribution data; The geometric model of the transformer is subdivided into elements to obtain element subdivision data; Based on the element partitioning data, the eddy current loss value is mapped to the temperature rise element to obtain the heat load distribution data; Temperature field simulation was performed based on the oil flow information of structural components, the set parameters of convection coefficient, and the thermal load distribution data to obtain temperature rise data.

[0009] In one embodiment, the step of obtaining the eddy current loss value of a user-selected structural component based on magnetic field loss distribution data includes: Determine whether the user-selected structural component includes a coil to obtain the determination result of the structural component to be analyzed; When the result of the analysis of the structural component is that the user-selected structural component includes a coil, the loss values ​​of multiple types of coils are obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained. When the result of the analysis of the structural component is that the user-selected structural component does not include the coil, the loss value of the non-coil structural component is obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained.

[0010] In one embodiment, the step of performing temperature field simulation based on structural component oil flow information, convection coefficient setting parameters, and thermal load distribution data to obtain temperature rise data includes: The oil flow effect of the user-selected structural component is evaluated based on the oil flow information of the structural component, and the oil flow effect evaluation result is obtained. When the oil flow effect evaluation results meet the preset conditions, temperature field simulation is performed on the user-selected structural component based on the first convection coefficient and heat load distribution data, and temperature rise data is obtained. When the oil flow effect evaluation results do not meet the preset conditions, the temperature field simulation of the user-selected structural component is performed based on the second convection coefficient and heat load distribution data, according to the convection coefficient setting parameter, to obtain temperature rise data, wherein the first convection coefficient is greater than the second convection coefficient.

[0011] In one embodiment, the steps of determining the transformer geometric model and model description configuration file based on design dimensional parameters include: Geometric modeling is performed based on the design dimensional parameters to obtain the initial geometric model; The transformer geometric model is obtained by removing the pre-defined structural components from the initial geometric model. Extract the model parameter description information from the transformer geometric model to obtain the model description configuration file.

[0012] In one embodiment, the step of generating a transformer electromagnetic thermal analysis report based on magnetic field loss distribution data and temperature rise data includes: Generate magnetic density cloud maps and magnetic field line distribution cloud maps of structural components based on magnetic field loss distribution data; Temperature cloud maps of structural components are generated based on temperature rise data; An electromagnetic thermal analysis report is generated based on the magnetic density cloud map, magnetic field line distribution cloud map, and structural component temperature cloud map.

[0013] Furthermore, to achieve the above objectives, this application also proposes a method, apparatus, equipment, and storage medium device for electromagnetic thermal analysis of transformers. The method, apparatus, equipment, and storage medium device for electromagnetic thermal analysis of transformers include: The data acquisition module is used to acquire the design dimension parameters of the transformer; The data processing module is used to determine the transformer geometric model and model description configuration file based on the design dimension parameters; The loss analysis module is used to obtain the component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions. Based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and model description configuration file, it performs electromagnetic field simulation on the transformer geometric model to obtain magnetic field loss distribution data. The temperature rise analysis module is used to obtain the oil flow information of structural components and the setting parameters of the convection coefficient. Based on the oil flow information of structural components, the setting parameters of the convection coefficient, and the magnetic field loss distribution data, the module performs temperature field simulation on the geometric model of the transformer to obtain temperature rise data. The results generation module is used to generate an electromagnetic thermal analysis report for the transformer based on magnetic field loss distribution data and temperature rise data.

[0014] In addition, to achieve the above objectives, this application also proposes a transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device. The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The computer program is configured to implement the steps of the transformer electromagnetic thermal analysis method as described above.

[0015] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the transformer electromagnetic thermal analysis method described above.

[0016] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the transformer electromagnetic thermal analysis method as described above.

[0017] One or more technical solutions proposed in this application have at least the following technical effects: By obtaining accurate design dimensional parameters, the geometric model and model description configuration file of the transformer are determined based on these parameters, achieving a unified design and verification model. This avoids designers and verifiers from repeatedly drawing models, saving manpower and resources, and fundamentally solving the problem of the inability to synchronize design and verification models in a timely manner after adjustments. Electromagnetic field simulation is performed based on the model description configuration file to obtain magnetic field loss distribution data, and then temperature field simulation is performed based on this data to obtain temperature rise data, achieving accurate simulation of electromagnetic and thermal characteristics and providing reliable data support for design optimization. A transformer electromagnetic and thermal analysis report is generated based on these two types of simulation data, and the simulation results can be exported with a single click. This approach shortens the verification cycle, allowing designers to understand whether the transformer's electromagnetic and thermal performance meets standards during the design process, facilitating scientific adjustments to the structural design. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating an embodiment of the transformer electromagnetic thermal analysis method of this application. Figure 2This is a schematic diagram of the geometric model design process provided in Embodiment 1 of the transformer electromagnetic thermal analysis method of this application; Figure 3 This is a flowchart illustrating Embodiment 2 of the transformer electromagnetic thermal analysis method of this application; Figure 4 This is a schematic diagram of the electromagnetic analysis functional architecture provided in Embodiment 2 of the transformer electromagnetic thermal analysis method of this application; Figure 5 This is a simplified flowchart of the transformer electromagnetic thermal analysis method provided in Embodiment 2 of this application; Figure 6 This is a schematic diagram of the module structure of the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device according to an embodiment of this application; Figure 7 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the transformer electromagnetic thermal analysis method in this application embodiment.

[0021] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0023] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0024] The main solution of this application embodiment is as follows: Obtain the design dimension parameters of the transformer; determine the transformer geometric model and model description configuration file based on the design dimension parameters; obtain component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions, and perform electromagnetic field simulation on the transformer geometric model based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and model description configuration file to obtain magnetic field loss distribution data; obtain structural component oil flow information and convection coefficient setting parameters, and perform temperature field simulation on the transformer geometric model based on the structural component oil flow information, convection coefficient setting parameters, and magnetic field loss distribution data to obtain temperature rise data; generate a transformer electromagnetic thermal analysis report based on the magnetic field loss distribution data and temperature rise data.

[0025] Currently, the traditional electromagnetic thermal design verification of transformers requires designers to first complete a three-dimensional solid model, and then verification personnel to draw the verification model from scratch and obtain simulation results to feed back to the designers.

[0026] However, in traditional methods, the design and verification models are independent, resulting in a large amount of repetitive modeling work, more than doubling the verification cycle, and difficulty in updating the two models synchronously after design changes, which easily leads to inconsistencies. Therefore, how to unify the design and verification models in the process of transformer electromagnetic thermal analysis to shorten the verification cycle has become an unsolved problem.

[0027] This application provides a solution that, by obtaining accurate design dimensional parameters, determines the transformer's geometric model and model description configuration file based on these parameters, achieving a unified design and verification model. This avoids designers and verifiers repeatedly drawing models, saving manpower and resources, and fundamentally solves the problem of the inability to synchronize design and verification models in a timely manner after adjustments. Electromagnetic field simulation is performed based on the model description configuration file to obtain magnetic field loss distribution data, and then temperature field simulation is performed based on this data to obtain temperature rise data, achieving accurate simulation of electromagnetic and thermal characteristics and providing reliable data support for design optimization. A transformer electromagnetic and thermal analysis report is generated based on these two types of simulation data, and the simulation results can be exported with a single click. This approach shortens the verification cycle, allowing designers to understand whether the transformer's electromagnetic and thermal performance meets standards during the design process, facilitating scientific adjustments to the structural design.

[0028] It should be noted that the executing entity of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device, transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device capable of realizing the above functions. The following description uses a transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device as an example to illustrate this embodiment and the subsequent embodiments.

[0029] Based on this, embodiments of this application provide a method for electromagnetic thermal analysis of transformers, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the transformer electromagnetic thermal analysis method of this application.

[0030] In this embodiment, the transformer electromagnetic thermal analysis method includes steps S10~S50: Step S10: Obtain the design dimension parameters of the transformer; It should be noted that the electromagnetic thermal analysis scheme of this application is applicable to 110-500kV conventional transformers. Electromagnetic thermal analysis is a multiphysics field coupled simulation method that combines electromagnetic field analysis with thermal field analysis to study how the heat generated by electromagnetic effects (such as alternating electromagnetic field induced eddy currents, hysteresis effect, ohmic heating, etc.) affects the temperature distribution of an object, and thus evaluate its thermal performance.

[0031] Specifically, in electrical equipment such as transformers, electromagnetic thermal analysis first calculates the losses (i.e., heat sources) generated in conductors (such as coils) and magnetic materials (such as iron cores and metal structural parts) due to changes in current and magnetic field through electromagnetic field simulation. Then, these precisely calculated heat source data are used as input, and the heat conduction, convection and radiation processes inside the object are simulated through thermal field simulation to finally obtain the temperature distribution and temperature rise of the equipment under stable working conditions.

[0032] Additionally, design dimensional parameters refer to the key dimensional data of the transformer used to construct the geometric model of a large transformer. These parameters directly determine the size, shape, and relative positional relationships of the various components of the transformer. Design dimensional parameters include dimensions related to the transformer structure, such as the length, width, and height of the tank, internal controls, and the types of upper and lower tank sections.

[0033] It should be understood that design dimension parameters can be input through interactive pages developed using .NET and JavaWeb. These parameters will be collected and stored to provide initial data support for subsequent steps such as geometric modeling and simulation analysis based on the parameters.

[0034] Step S20: Determine the transformer geometric model and model description configuration file based on the design dimension parameters; It should be noted that the transformer geometric model is a three-dimensional model constructed based on the design dimensional parameters. It includes the structural form and positional relationship of all key components of the transformer, such as the tank, clamps, tie rods, straps, magnetic shielding, and coils. It includes both the physical model used by designers for design reference and the model used for electromagnetic and thermal verification.

[0035] In addition, the model description configuration file is a file that stores key parameter description information of the transformer geometric model. This information includes verification parameters such as component location, coil classification, and silicon steel material, providing necessary parameter support for subsequent electromagnetic field simulation and temperature field simulation. The file format can be .CSV, which is convenient for the program to read and process.

[0036] It should be understood that after obtaining the design dimensions of the transformer, secondary development of computer-aided design (CAD) can be performed through WebLink, and secondary development of computer-aided engineering (CAE) can be performed using Python. Based on the parameters, a series of operations such as geometric modeling, structural optimization, and parameter extraction are completed, ultimately forming a complete geometric model of the transformer. The key parameter description information in the model is extracted to generate a model description configuration file, providing a complete and accurate model foundation and data support for subsequent simulation verification steps.

[0037] Designers can use CAD to draw various components of the transformer, such as the tank, core, coils, clamps, and tie plates, and assemble them into a complete transformer model. This process is parametric, and the size and shape of the model can be controlled by input parameters. CAE simulation software is then used to convert the parametric CAD model, based on WebLink input, into a computable physical model. High-precision simulation software is then used to virtually predict and evaluate the electromagnetic characteristics and thermal performance of the transformer.

[0038] In one feasible implementation, step S20 may include steps S21 to S23: Step S21: Perform geometric modeling based on the design dimension parameters to obtain the initial geometric model; It should be noted that geometric modeling refers to the process of constructing a three-dimensional model of the transformer using CAD technology based on design dimensions. This process involves JavaScript calling the WebLink method, which in turn calls Creo's pfcGetProESession to obtain the session handle. The model is then retrieved from the session based on its filename, and its description and parameters are analyzed. Model parameters are modified, array and installation positions are adjusted, and the model is refreshed to complete the update, ultimately forming an initial geometric model containing all components of the transformer. This initial geometric model is the original model built based on the design dimensions and includes structural information for all components such as the tank, clamps, tie rods, tension belts, magnetic shielding, and coils. It forms the basis for subsequent model optimization and parameter extraction.

[0039] It should be understood that, based on the obtained design dimensional parameters, and through the corresponding CAD secondary development technology and modeling tools, a complete initial geometric model can be constructed according to the actual structure and design requirements of the transformer. This model accurately reflects the size, shape, and positional relationship of each component.

[0040] Step S22: Remove the preset structural components from the initial geometric model to obtain the transformer geometric model; It should be noted that pre-defined structural components refer to parts present in the initial geometric model that adversely affect the accuracy and efficiency of subsequent electromagnetic and thermal simulation calculations. These mainly include small parts such as bolts and small holes, as well as interfering parts that collide or overlap with each other. Although these parts are components of the initial geometric model, their small size or interference can lead to deviations in simulation results or low computational efficiency, or even make the calculation impossible, if they are retained in the model.

[0041] It should be understood that after obtaining the initial geometric model, the pre-defined structural components in the model, namely small parts and interference components that affect the calculation, are identified, and processing operations such as removal or adjustment are performed to optimize the model structure, so as to ensure that the subsequent electromagnetic field simulation and temperature field simulation can be carried out smoothly and accurately, and finally obtain a transformer geometric model that meets the verification requirements.

[0042] Step S23: Extract the model parameter description information of the transformer geometric model to obtain the model description configuration file.

[0043] It should be noted that the model parameter description information refers to the key parameters and descriptive information related to electromagnetic and thermal simulation verification in the transformer geometric model, including component locations, coil classifications, silicon steel materials, and verification parameters. This information is a necessary condition for the successful conduct of subsequent electromagnetic field simulations and temperature field simulations, and directly affects the accuracy of the simulation results.

[0044] It should be understood that after obtaining the geometric model of the transformer, the JS method can be used to extract all the parameter description information related to verification from the model, including the position coordinates of the components, the classification of the coils, the properties of the silicon steel material used, etc. After organizing this information, it is written into the model description configuration file in .CSV format to provide complete and accurate parameter support for subsequent electromagnetic field simulation.

[0045] For example, please refer to Figure 2 , Figure 2 This is a schematic diagram of the geometric model design process provided in Embodiment 1 of the transformer electromagnetic thermal analysis method of this application. Figure 2 As shown, after receiving basic dimensions and characteristic parameters of the oil tank (length, width, height, internal control, and types of upper and lower tank sections) via the page, the system removes small components and intersecting parts that do not affect the results, simplifies the transformer geometric model to suit simulation requirements, completes parametric calculations for components such as the oil tank and clamping parts, and performs parametric-driven modeling of key structural components such as the oil tank, tie plates, tie belts, and magnetic shielding based on the aforementioned parameters. Subsequently, the system writes the verification information, such as component positions, coil classification, and silicon steel materials, into the model parameters. For formally introduced models, the system synchronously updates information such as coil classification and silicon steel materials to the database. The program automatically extracts all model parameters and generates a description configuration file. Once the model is successfully assembled and set up, the system finally exports the complete geometric model and its accompanying interactive description configuration file for subsequent verification.

[0046] In this embodiment, an initial geometric model is obtained by geometric modeling based on design dimensional parameters. This ensures that the model accurately reflects the actual structure and dimensions of the transformer, providing a reliable foundation for subsequent model optimization and simulation verification. Removing pre-defined structural components from the initial geometric model eliminates the adverse effects of small parts and interfering components on the simulation calculation, making the resulting transformer geometric model more suitable for electromagnetic thermal simulation. This improves the accuracy and efficiency of the simulation calculation, preventing simulation result deviations or calculation failures caused by model redundancy. Extracting the model parameter description information from the transformer geometric model to generate a model description configuration file enables the summarization and storage of key model information. In this way, the integrated efficiency of design and verification in the electromagnetic thermal analysis process is further improved.

[0047] Step S30: Obtain component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions. Based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and model description configuration file, perform electromagnetic field simulation on the transformer geometric model to obtain magnetic field loss distribution data. It should be noted that the component material setting parameters refer to the electromagnetic parameters, including conductivity and relative permeability, specified for all non-coil and core components (such as oil tank, clamps, insulating supports, radiators, etc.) in the model after the transformer geometric model is constructed.

[0048] In addition, the excitation current setting parameters refer to the current-related parameters set for each coil of the transformer, including the magnitude and direction of the current in the high voltage coil (HV), medium voltage coil (MV), low voltage coil (LV), and tap voltage (TV). The current parameters are the basis for generating the electromagnetic field.

[0049] In addition, the coil structure setting parameters are determined based on the coil arrangement characteristics. These coil arrangement characteristics are categorized into four types: high-medium, high-low, high-medium-regulating, and high-regulating-medium. Different arrangement types correspond to different structural parameters, affecting the distribution of the electromagnetic field. Specifically, high-medium refers to the high-voltage and medium-voltage coils being arranged coaxially; high-low refers to the high-voltage and low-voltage coils being arranged coaxially; high-medium-regulating refers to the high-voltage, medium-voltage, and regulating coils being arranged coaxially, with the regulating coil located outside the high-voltage and medium-voltage coils; and high-regulating-medium refers to the high-voltage, regulating, and medium-voltage coils being arranged coaxially from the inside out, with the regulating coil located between the high-voltage and medium-voltage coils.

[0050] Additionally, the tap setting condition refers to the operating state of the transformer tap changer, which is divided into two conditions: maximum tap processing logic and minimum tap processing logic. The state of the tap changer affects the number of turns and voltage ratio of the coil, thereby affecting the excitation current and electromagnetic field distribution. Under the maximum tap processing logic condition, the regulating winding is set to the position with the most turns or the transformer turns ratio is maximized to simulate the transformer's operating state under the highest voltage or maximum load, thereby evaluating its extreme temperature rise and performance. Under the minimum tap processing logic condition, the regulating winding is set to the position with the fewest turns or the transformer turns ratio is minimized to simulate the transformer's operating state under the lowest voltage or a specific load, thereby evaluating its temperature rise and performance under another extreme condition.

[0051] It should be understood that before conducting electromagnetic field simulation, it is necessary to accurately obtain these key parameters and operating condition information. The parameter settings for component materials need to be determined in conjunction with the material of each structural component, the parameter settings for excitation current need to be set according to the voltage level and operating requirements of the coil, the parameter settings for coil structure need to be determined based on the actual coil arrangement, and the operating conditions for tap setting need to be selected according to the operating requirements of the transformer. These parameters and operating condition information together constitute the basic conditions for electromagnetic field simulation, ensuring that the simulation calculation can closely match the actual operating conditions of the transformer.

[0052] It should be noted that electromagnetic field simulation refers to the process of simulating and calculating the electromagnetic field characteristics of a transformer geometric model under operating conditions using CAE finite element simulation technology and parameter information from the model description configuration file. During the simulation, the nonlinearity and anisotropy of the transformer core are considered. Based on the actual BH curve and loss curve of the input transformer core, the magnetic induction intensity distribution in parts such as the main coil, tank, clamps, and tie plates is analyzed to obtain the loss values.

[0053] In addition, magnetic field loss distribution data is the core result of electromagnetic field simulation. It refers to the energy loss data generated by various components of the transformer under the action of electromagnetic field, mainly including eddy current loss, etc. These data reflect the consumption of magnetic field energy during the operation of the transformer.

[0054] It should be understood that by calling the Python interface and relevant simulation software such as Maxwell, the transformer geometric model and model description configuration file are imported, electromagnetic excitation is set, the skin effect method and impedance method are applied, network partitioning is performed, and the set component material setting parameters, excitation current setting parameters, coil structure setting parameters and tap setting conditions are obtained. Electromagnetic field simulation calculations are then performed on the transformer geometric model, and finally the magnetic field loss distribution data of each component is obtained, providing a basis for energy loss in temperature field simulation.

[0055] When setting electromagnetic excitations, the program automatically creates and applies these excitations, including current sources, voltage sources, and circuit connections, based on design parameters (such as rated voltage, rated current, frequency, and phase sequence). For example, based on coil classification (high voltage, low voltage, and voltage regulation), the program can automatically set the corresponding current magnitude and phase to ensure that the electromagnetic simulation runs under correct operating conditions. Applying the skin effect and impedance methods allows for efficient and accurate calculation of coil AC losses considering the skin effect and proximity effect in transformer electromagnetic simulations. Network partitioning (i.e., mesh generation) discretizes a continuous geometric model into a finite number of small elements (mesh), facilitating simulation calculations using numerical methods such as the finite element method.

[0056] In one feasible implementation, step S30 may include steps S31 to S33: Step S31: Obtain the coil verification identifier, wherein the coil verification identifier is used to determine whether to perform electromagnetic field simulation on the coil; It should be noted that the coil verification identifier is an identifier that distinguishes the user's coil verification requirements. Different coil verification identifiers correspond to different verification scenarios and requirements. Through this identifier, the parameters related to the current verification requirements in the model description configuration file can be accurately located.

[0057] It should be understood that the coil verification flag can be a Boolean value (yes / no). If the coil verification flag is "yes", the parameters read from the model description configuration file will include detailed description information of the coil. When performing electromagnetic field simulation, the coil's geometry, material properties, current excitation, eddy current effect, proximity effect, etc., will be considered to accurately calculate the coil's own losses and the magnetic field it generates. If the coil verification flag is "no", the parameters read from the model description configuration file will not include or will only include simplified coil information. The coil will only serve as a geometric placeholder, and its losses will be directly used as a heat source input. Electromagnetic field simulation will only focus on the magnetic field of non-coil structural components.

[0058] Step S32: Read the electromagnetic verification supplementary parameters from the model description configuration file based on the coil verification identifier; It should be noted that the electromagnetic verification supplementary parameters are supplementary parameters in the model description configuration file used to improve the electromagnetic field simulation conditions. These include detailed structural parameters of components, boundary condition parameters, etc., and have an important impact on the accuracy and completeness of the simulation results.

[0059] It should be understood that after obtaining the core parameters and operating conditions, the corresponding electromagnetic verification supplementary parameters are accurately read from the model description configuration file according to the coil verification identifier. Combining these supplementary parameters with the core parameters can further improve the conditions of electromagnetic field simulation, ensure that the simulation calculation takes into account more influencing factors, and improve the accuracy of the simulation results.

[0060] Step S33: Based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and electromagnetic verification supplementary parameters, perform electromagnetic field simulation on the transformer geometric model to obtain magnetic field loss distribution data.

[0061] It should be noted that this step integrates the previously acquired component material settings, excitation current settings, coil structure settings, tap settings, and electromagnetic verification supplementary parameters as input conditions for simulation calculations, performing comprehensive electromagnetic field simulation calculations on the transformer geometric model. During the simulation, the transformer geometric model is discretized into small units through network partitioning. Calculation methods such as the skin effect and impedance method are applied, combined with various parameters and operating condition information, to analyze the magnetic induction intensity distribution of each unit, thereby calculating the magnetic field loss of each component.

[0062] It should be understood that by inputting all relevant parameters and operating condition information into the simulation software, electromagnetic field simulation calculations are performed on the transformer geometric model. Through the software's calculations, magnetic field loss distribution data of each component are obtained. These data reflect in detail the energy loss of each part of the transformer during operation, providing key input data for subsequent temperature field simulation. This ensures that the temperature field simulation can be based on actual loss conditions and guarantees that the final simulation results can accurately reflect the electromagnetic and thermal characteristics of the transformer.

[0063] Specifically, the algorithm for calculating the direction of excitation current in and out can be based on the structure and tap configuration of the coil. The process is as follows: First, obtain the center positions of two cross sections and determine the direction marker by comparing these two center positions; then, based on the coil type (such as high voltage, medium voltage, low voltage, and voltage regulating coil) and the current type and tap type (minimum tap, maximum tap, etc.) of the voltage regulating coil, combined with the previously determined direction marker, determine the direction of excitation current in and out.

[0064] In this embodiment, by acquiring the component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions, the electromagnetic field simulation is ensured to have complete and accurate core input conditions. Based on the coil verification mark, the electromagnetic verification supplementary parameters are read, which further improves the simulation conditions and enhances the accuracy of the simulation results. By integrating all parameters and conditions to perform electromagnetic field simulation on the transformer geometric model, accurate and detailed magnetic field loss distribution data can be obtained.

[0065] Step S40: Obtain the oil flow information of the structural components and the setting parameters of the convection coefficient, and perform temperature field simulation on the geometric model of the transformer based on the oil flow information of the structural components, the setting parameters of the convection coefficient and the magnetic field loss distribution data to obtain temperature rise data; It should be noted that structural component oil flow information refers to data related to the flow of transformer oil in various structural components of the transformer. This includes information such as the flow path, velocity, and state of the transformer oil around the structural components. This information directly reflects the heat dissipation environment of the structural components. Transformer oil is the insulating and heat dissipation medium inside the transformer, and its flow conditions affect the heat dissipation efficiency of the structural components.

[0066] In addition, the convection coefficient setting parameter is a parameter that characterizes the heat transfer capability between the fluid and the solid surface. Different structural components will have different convection coefficient setting parameters due to different working conditions in contact with transformer oil. This parameter is an important basis for calculating heat transfer in temperature field simulation.

[0067] It should be understood that by reading the structural data of the transformer, analyzing the flow of transformer oil around each structural component, and obtaining oil flow information of the structural components, the corresponding convection coefficient setting parameters are determined according to the material, location, and contact conditions of each structural component with the transformer oil, providing basic data support related to heat dissipation for subsequent temperature field simulation.

[0068] It should be noted that temperature field simulation is a simulation process based on magnetic field loss distribution data obtained from electromagnetic field simulation, simulating the temperature changes and distribution of various components of a transformer during operation. The magnetic field losses generated during transformer operation are converted into heat, causing the temperature of various components to rise. Temperature field simulation uses finite element analysis to calculate the transfer and distribution of this heat in each component, thereby obtaining the temperature rise of each component. Temperature rise data, the result of temperature field simulation, refers to the increase in temperature of each component relative to the ambient temperature. This data directly reflects the thermal characteristics of the transformer. Excessive temperature rise can lead to problems such as core saturation, increased winding losses, and aging of insulation materials. Therefore, temperature rise data is an important indicator for judging transformer performance and lifespan.

[0069] It should be understood that after obtaining the magnetic field loss distribution data, the loss values ​​are matched with the meshed units of the temperature field simulation. Parameters such as thermal material parameters and convection coefficients are set. Based on the oil flow information of the structural components, steady-state thermal simulation software is used to perform temperature field simulation calculations on the transformer geometric model. Taking the structural components as units, eddy current loss values ​​are automatically imported for each component to simulate the generation, transfer, and dissipation of heat. Finally, the temperature rise data of each component is obtained, providing a key basis for evaluating whether the transformer's thermal performance meets the standards.

[0070] When setting the thermal material parameters, corresponding thermal property parameters, such as thermal conductivity and specific heat capacity, are assigned to various materials in the transformer (e.g., ordinary steel, geomagnetic steel, silicon steel, etc.) based on their different thermal conductivity properties. When setting the convection coefficient, corresponding thermal conductivity and convection coefficients are set according to the contact conditions and oil flow effects between different transformer components (e.g., clamps, tension belts, oil tank, core, etc.) and the transformer oil. These are key parameters for simulating transformer heat dissipation.

[0071] In the specific implementation, the model and model description .CSV file can be imported to read information such as grouping and materials. According to the requirements for verification and usability, preliminary processing such as part grouping, duplicate model removal, model joint repair, fusion, and object merging can be completed. Maxwell is used to calculate eddy current losses. Based on the element meshing, the eddy current loss values ​​are correlated with the temperature rise heat input, and steady-state thermal simulation calculations are performed.

[0072] Step S50: Generate an electromagnetic thermal analysis report for the transformer based on the magnetic field loss distribution data and temperature rise data.

[0073] It should be noted that the transformer electromagnetic thermal analysis report is a comprehensive document summarizing the results of electromagnetic field simulation and temperature field simulation. It includes key information such as geometric model screenshots, magnetic field loss distribution data, temperature rise data, electromagnetic field contour maps, and temperature field contour maps. This report provides a comprehensive summary and evaluation of the transformer's electromagnetic thermal characteristics, visually displaying the transformer's magnetic field distribution, energy loss, and temperature changes. It offers important reference for designers to determine whether the transformer's electromagnetic thermal performance meets standards and to optimize the transformer's structural design.

[0074] It should be understood that the report generation submodule of the post-processing module can automatically obtain information such as geometric model screenshots, magnetic field loss distribution data, temperature rise data, electromagnetic field cloud maps, and temperature field cloud maps. According to the preset format and content requirements, it can generate a complete transformer electromagnetic thermal analysis report in one go without manual intervention, which makes it convenient for designers to quickly obtain simulation results and conduct analysis and evaluation.

[0075] In the specific implementation, the overall control page can use .NET to develop a verification parameter and process monitoring page, drive the smooth transformation of the model, automatically inject the verification application, display the verification execution steps and feedback information until the strength report document is obtained, and display important verification results on the screen.

[0076] In one feasible implementation, step S50 may include steps S51 to S53: Step S51: Generate a magnetic density cloud map and a magnetic field line distribution cloud map of the structural components based on the magnetic field loss distribution data; It should be noted that the structural component magnetic flux density cloud map is a graphic representation of the magnetic flux density distribution of various structural components of a transformer, using color gradients. Different colors represent different levels of magnetic flux density, with darker or more vibrant colors indicating higher magnetic flux density. The magnetic field line distribution cloud map, on the other hand, displays the direction and density of magnetic field lines inside the transformer, clearly showing the distribution pattern and propagation path of the magnetic field.

[0077] It should be understood that after obtaining the magnetic field loss distribution data, the electromagnetic field cloud map submodule of the post-processing module is used to visualize the data, transforming the abstract magnetic induction intensity data into a magnetic density cloud map and a magnetic field line distribution cloud map of the structural components. This allows designers to intuitively observe the magnetic field distribution of various parts of the transformer, quickly identify areas where the magnetic field is concentrated, and provide an intuitive basis for judging whether the magnetic field characteristics of the transformer are reasonable.

[0078] Step S52: Generate a temperature cloud map of the structural component based on the temperature rise data; It should be noted that the structural component temperature cloud map is a graphic representation of the temperature distribution of various structural components of the transformer using color gradients. Different colors correspond to different temperature values, intuitively reflecting the degree of temperature rise of each component. Temperature rise data is the key basis for generating this cloud map, including the increase in temperature of each structural component relative to the ambient temperature. This data directly determines the color distribution of each area in the temperature cloud map.

[0079] It should be understood that by using the temperature rise data obtained from temperature field simulation, the temperature field cloud map submodule of the verification post-processing module is used to visualize and convert the data to generate a temperature cloud map of the structural components. Designers can use this cloud map to quickly locate hot spots with excessively high temperatures, determine whether the heat dissipation effect of the transformer meets the standard, and provide an intuitive temperature distribution reference for subsequent structural optimization.

[0080] Step S53: Generate an electromagnetic thermal analysis report based on the magnetic density cloud map, magnetic field line distribution cloud map, and structural component temperature cloud map.

[0081] It should be noted that the electromagnetic thermal analysis report is a comprehensive document summarizing all key results from the transformer's electromagnetic thermal simulation. In addition to magnetic flux density cloud maps, magnetic field line distribution cloud maps, and structural component temperature cloud maps, it also includes important information such as geometric model screenshots, magnetic field loss distribution data, and temperature rise data. This report provides a comprehensive summary of the transformer's electromagnetic thermal characteristics and serves as a crucial reference for designers to evaluate transformer performance and adjust structural designs.

[0082] It should be understood that the report generation submodule of the post-processing module automatically collects the magnetic flux density cloud map, magnetic field line distribution cloud map, structural component temperature cloud map, as well as related simulation data and model screenshots. According to the preset format and content requirements, it generates a complete electromagnetic thermal analysis report in one go without manual intervention. This allows designers to quickly obtain and use simulation results, promptly determine whether the electromagnetic thermal performance of the transformer meets the standards, shorten the verification cycle, and improve design efficiency.

[0083] In this embodiment, magnetic flux density cloud maps and magnetic field line distribution cloud maps of structural components are generated based on magnetic field loss distribution data. This transforms abstract magnetic field data into intuitive graphics, allowing designers to quickly and clearly understand the magnetic field distribution of the transformer and accurately identify areas of magnetic field concentration. Temperature cloud maps of structural components are generated based on temperature rise data, visually displaying the temperature distribution and hot spots of each component, helping designers quickly assess the transformer's heat dissipation effect. Finally, these cloud maps and related data are integrated to generate an electromagnetic thermal analysis report, achieving a systematic and documented presentation of simulation results. This provides designers with a comprehensive and intuitive reference for evaluating the electromagnetic thermal performance of the transformer and scientifically adjusting the structural design. Furthermore, the one-click report generation shortens the verification cycle.

[0084] This embodiment provides a method for electromagnetic thermal analysis of transformers. By obtaining accurate design dimensional parameters, the geometric model and model description configuration file of the transformer are determined based on these parameters, achieving a unified design and verification model. This avoids designers and verifiers from repeatedly drawing models, saving manpower and resources, and fundamentally solving the problem of the inability to synchronize design and verification models in a timely manner after adjustments. Electromagnetic field simulation is performed based on the model description configuration file to obtain magnetic field loss distribution data, and then temperature field simulation is performed based on this data to obtain temperature rise data, achieving accurate simulation of electromagnetic thermal characteristics and providing reliable data support for design optimization. A transformer electromagnetic thermal analysis report is generated based on the two types of simulation data, and the simulation results can be exported with one click. In this way, the verification cycle is shortened, allowing designers to understand whether the transformer's electromagnetic thermal performance meets the standards during the design process, facilitating scientific adjustments to the structural design.

[0085] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S40 also includes steps S41 to S44: Step S41: Obtain the eddy current loss value of the user-selected structural component based on the magnetic field loss distribution data; It should be noted that the user-selected structural component refers to the specific structural component selected by the designer from all structural components of the transformer for temperature field simulation analysis, based on design requirements and verification objectives. Eddy current loss is one of the main types of loss generated by structural components under the action of electromagnetic fields. The eddy current loss value is the energy loss caused by eddy currents generated by the user-selected structural component under the action of electromagnetic fields. This value is the main source of heat generation in the structural component and directly determines the magnitude of the thermal load in the temperature field simulation.

[0086] It should be understood that after obtaining the magnetic field loss distribution data, the eddy current loss values ​​corresponding to these structural components are filtered and extracted from the magnetic field loss distribution data according to the range of structural components selected by the user, to ensure that the subsequent temperature field simulation is only carried out for the structural components of interest to the user.

[0087] In one feasible implementation, step S41 may include steps S411 to S413: Step S411: Determine whether the user-selected structural component includes a coil, and obtain the determination result of the structural component to be analyzed; It should be noted that the result of determining the structural component to be analyzed refers to the conclusion obtained by judging whether the user-selected structural component contains a coil. This result will determine the specific range and method for obtaining the eddy current loss value subsequently.

[0088] It should be understood that after obtaining the range of structural components selected by the user, the structural components within that range are identified by type to determine whether they include coil-type components, thus clarifying the specific composition of the structural components to be analyzed and providing a basis for the subsequent accurate extraction of eddy current loss values.

[0089] Step S412: When the judgment result of the structural component to be analyzed is that the user-selected structural component includes a coil, the loss values ​​of multiple types of coils are obtained based on the magnetic field loss distribution data to obtain the eddy current loss value of the user-selected structural component. It should be noted that the multi-type coil loss value refers to the eddy current loss value corresponding to different types of coils such as high-voltage coils, medium-voltage coils, low-voltage coils, and voltage-regulating coils. Due to the different voltage levels and structural characteristics of different types of coils, their eddy current loss values ​​also differ.

[0090] It should be understood that if the result of the analysis of the structural component is that it includes a coil, that is, when the user selects the structural component that includes a coil, the eddy current loss values ​​corresponding to various types of coils such as high voltage coil, medium voltage coil, low voltage coil, and voltage regulating coil are selected from the magnetic field loss distribution data to obtain the eddy current loss value of the structural component selected by the user.

[0091] Step S413: When the judgment result of the structural component to be analyzed is that the user-selected structural component does not include the coil, the loss value of the non-coil structural component is obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained.

[0092] It should be noted that non-coil structural components refer to all structural components in a transformer other than the high-voltage coil, medium-voltage coil, low-voltage coil, and voltage regulating coil. These include the tank, clamps, tie rods, straps, magnetic shielding, etc. These structural components also generate eddy current losses under the influence of electromagnetic fields. When the user selects structural components that do not include coils, only the loss values ​​of these non-coil structural components need to be extracted.

[0093] It should be understood that if the structural component to be analyzed is determined to not contain a coil, the eddy current loss value corresponding to the non-coil structural component selected by the user is directly filtered from the magnetic field loss distribution data. After summarizing these loss values, the eddy current loss value of the structural component selected by the user is obtained.

[0094] Step S42: Perform element subdivision on the transformer geometric model to obtain element subdivision data; It should be noted that element subdivision, also known as mesh generation, is the process of dividing a complete transformer geometric model into a large number of small, regularly shaped elements according to certain rules and algorithms. These small elements are typically tetrahedrons or hexahedrons. Element subdivision data is the relevant data obtained after element subdivision, including the node coordinates, element number, and element material properties of each element. This data forms the basis for subsequent numerical calculations.

[0095] It should be understood that by using specialized meshing algorithms and programs to mesh the geometric model of a transformer into elements, the complex three-dimensional model is discretized into multiple simple, small elements. Each element serves as an independent computational unit, which facilitates the subsequent mapping of eddy current loss values ​​onto the corresponding elements, providing a feasible model basis for numerical calculations of temperature field simulation.

[0096] Step S43: Map the eddy current loss value to the temperature rise element based on the element subdivision data to obtain the heat load distribution data; It should be noted that a temperature rise element refers to a small element used to carry heat and participate in temperature field calculations after element meshing, corresponding one-to-one with the elements in the element meshing data. During the mapping process, a correspondence is established between eddy current loss values ​​and temperature rise elements. The eddy current loss values ​​of the user-selected structural component are distributed to the corresponding temperature rise elements according to certain rules. The heat load distribution data is the heat input data corresponding to each temperature rise element obtained after mapping. Each temperature rise element has a specific heat load value, which directly reflects the heat generation of each element and is the core input data for temperature field simulation.

[0097] It should be understood that, based on the location of each element and the information of the structural components it belongs to in the element meshing data, the eddy current loss value of the user-selected structural component is accurately allocated to the corresponding temperature rise element, so as to realize the accurate mapping between the eddy current loss value and the temperature rise element, forming heat load distribution data, which provides an accurate heat input basis for the temperature calculation of each element in the subsequent temperature field simulation.

[0098] Step S44: Based on the oil flow information of the structural components, the set parameters of the convection coefficient, and the thermal load distribution data, temperature field simulation is performed to obtain temperature rise data.

[0099] It should be noted that temperature field simulation utilizes finite element method (FEM) technology to simulate the temperature changes and distribution of various structural components of a transformer during operation. Oil flow information within the structural components determines their heat dissipation environment, the convection coefficient parameter reflects the efficiency of heat transfer, and the heat load distribution data provides the heat source for each temperature rise unit. These three types of data collectively constitute the core input conditions for temperature field simulation. Temperature rise data, the result of the temperature field simulation, refers to the increase in temperature of the user-selected structural component relative to the ambient temperature. This data directly reflects the thermal characteristics of the structural component and is a key indicator for determining whether the transformer's thermal performance meets standards.

[0100] It should be understood that by inputting the oil flow information of structural components, the setting parameters of the convection coefficient, and the heat load distribution data into the steady-state thermal simulation software, the temperature field simulation calculation of the transformer geometric model is performed to simulate the generation, transfer, and dissipation of heat in each temperature rise unit. Finally, the temperature rise data of the structural components selected by the user is obtained, providing a reliable basis for evaluating the thermal performance of the transformer and optimizing the structural design.

[0101] In one feasible implementation, step S44 may include steps S441 to S443: Step S441: Evaluate the oil flow effect of the user-selected structural component based on the oil flow information of the structural component, and obtain the oil flow effect evaluation result; It should be noted that the oil flow information of structural components reflects the relevant data of the transformer oil flow state around the user-selected structural components. Transformer oil is the core insulating and heat dissipation medium inside the transformer, and its flow state directly determines the efficiency of heat dissipation of the structural components. Oil flow effect refers to the smoothness of transformer oil flow around the user-selected structural components. The smoother the flow, the better the heat dissipation conditions, and the easier it is for heat to be carried away; conversely, obstructed flow or slow flow velocity results in poor heat dissipation conditions, and heat tends to accumulate at the structural components. The oil flow effect evaluation result is a clear judgment on the smoothness of flow based on the structural component oil flow information, categorized into two cases: good oil flow effect and poor oil flow effect. This result will determine the convection coefficient used in subsequent temperature field simulations.

[0102] It should be understood that before conducting temperature field simulation, it is necessary to analyze the data contained in the oil flow information of the structural component, such as whether the oil flow path is unobstructed, whether the flow velocity reaches the preset standard, and whether there are structures that obstruct the oil flow, in order to evaluate the oil flow effect of the user-selected structural component and obtain the oil flow effect evaluation result.

[0103] Step S442: When the oil flow effect evaluation result meets the preset conditions, perform temperature field simulation on the user-selected structural component based on the first convection coefficient and heat load distribution data of the convection coefficient setting parameter to obtain temperature rise data. It should be noted that the preset conditions are pre-defined standards for judging good oil flow performance. When the oil flow performance evaluation results meet these standards, it indicates that the transformer oil around the user-selected structural component flows smoothly without significant obstruction, and the heat dissipation efficiency is at a high level. The first convection coefficient is a preset convection coefficient value in the convection coefficient setting parameters corresponding to good oil flow performance. Because good oil flow performance results in high heat transfer efficiency, the value of the first convection coefficient is relatively large, which can match the efficient heat dissipation capacity. Using this coefficient for simulation can accurately simulate the temperature changes of the structural component when the oil flow is smooth.

[0104] It should be understood that if the oil flow effect evaluation result is good, the preset first convection coefficient is selected, and combined with the previously obtained heat load distribution data, these two types of data are input into the steady-state thermal simulation software to perform temperature field simulation calculation on the user-selected structural component, simulate the heat transfer and dissipation process in an efficient heat dissipation environment, and finally obtain the corresponding temperature rise data.

[0105] Step S443: When the oil flow effect evaluation result does not meet the preset conditions, perform temperature field simulation on the user-selected structural component based on the second convection coefficient and heat load distribution data of the convection coefficient setting parameter to obtain temperature rise data, wherein the first convection coefficient is greater than the second convection coefficient.

[0106] It should be noted that the second convection coefficient is a preset value in the convection coefficient setting parameters corresponding to poor oil flow. Because heat transfer efficiency is low when oil flow is poor, the value of the second convection coefficient is relatively small, matching the inefficient heat dissipation capacity. Using this coefficient for simulation can realistically reflect the temperature change of the structural components when oil flow is obstructed. The second convection coefficient is smaller than the first convection coefficient.

[0107] It should be understood that if the oil flow effect evaluation result is that the oil flow effect is not good, the preset second convection coefficient is selected, and combined with the heat load distribution data, it is input into the steady-state thermal simulation software to perform temperature field simulation calculation on the user-selected structural component, simulate the heat transfer process in an inefficient heat dissipation environment, and accurately calculate the temperature rise data of the structural component.

[0108] In this embodiment, by evaluating the oil flow effect based on the oil flow information of the structural components, the actual heat dissipation environment of the selected structural components can be accurately determined. When the oil flow effect is good, the first convection coefficient is used, and when the oil flow effect is poor, the second convection coefficient is used. This ensures that the selection of the convection coefficient is highly matched with the actual heat dissipation situation, so as to avoid the deviation of simulation results caused by unreasonable convection coefficient settings. Combined with the heat load distribution data, the temperature field simulation is performed, and the obtained temperature rise data can truly reflect the temperature change of the structural components under different heat dissipation environments, further improving the accuracy and reliability of the temperature field simulation results.

[0109] Please refer to Figure 4 , Figure 4 This is a schematic diagram of the electromagnetic analysis functional architecture provided in Embodiment 2 of the transformer electromagnetic thermal analysis method of this application. Figure 4 As shown, the process starts from the magnetic field model design module 1, which includes a dimension parameter input module 11 for inputting basic dimensions, a geometric model generation module 12 for creating the three-dimensional geometric structure of the transformer, and a model supplement setting module 13 for making additional configurations, thereby establishing a complete design model.

[0110] The process then proceeds to the magnetic field verification module 2, which is responsible for preparing for the electromagnetic simulation. It first imports the geometric model module 21 and the supplementary information loading module 22, then assigns physical properties to each component through the material setting module 23, and defines the electromagnetic excitation and winding characteristics required for the simulation through the excitation current setting module 24, the coil structure setting module 25, and the tap setting module 26, in order to calculate the magnetic field distribution and losses inside the transformer.

[0111] Next is the thermal verification execution module 3, which is used to perform thermal field simulation. This module defines the thermal properties of the material through the thermal material setting module 31, imports the loss obtained from the electromagnetic simulation as the heat source through the load import module 32, and sets the cooling conditions through the convection coefficient setting module 33 and the component temperature configuration module 34, thereby calculating the temperature distribution of the transformer.

[0112] Finally, there is the post-processing module 4, which is used for the presentation and output of results. This module provides an electromagnetic field cloud map module 41 and a temperature field cloud map module 42 to visualize the simulation results of the electromagnetic field and temperature field, and outputs a detailed analysis report through the one-click report generation module 43.

[0113] This embodiment provides a transformer electromagnetic thermal analysis method. By acquiring oil flow information and convection coefficient setting parameters for structural components, it provides accurate heat dissipation-related data for temperature field simulation. Based on magnetic field loss distribution data, it obtains the eddy current loss value of the user-selected structural component, achieving precise positioning of the simulation object and improving the simulation's relevance and efficiency. The transformer geometric model is discretized into elements, providing a feasible foundation for subsequent numerical calculations. The eddy current loss value is mapped to the temperature rise element to obtain heat load distribution data, ensuring the accuracy of the heat input data. Temperature field simulation based on three types of core data yields temperature rise data, achieving accurate simulation of the thermal characteristics of the user-selected structural component. This provides reliable data support for determining whether the transformer's thermal performance meets standards and optimizing structural design. This approach further improves the integrated efficiency of electromagnetic thermal design and verification.

[0114] For example, to help understand the implementation flow of the transformer electromagnetic thermal analysis method obtained in this embodiment combined with the above embodiment one, please refer to... Figure 5 , Figure 5 A simplified flowchart of a transformer electromagnetic thermal analysis method is provided, specifically: First, read the magnetic field loss calculation results. Based on the determination of whether to process coil temperature rise, selectively read the coil losses of high voltage, low voltage, and voltage regulation coils, or the losses of non-coil components such as oil tank, limb plate, pull belt, and pull rod. Then, start cell partitioning and map the loss values ​​of each component to the corresponding temperature rise calculation cell. Next, read the oil flow location description information and select the first group of convection coefficients or the second group of convection coefficients according to the oil flow effect. Finally, read the temperature rise design structural component information and complete the temperature field simulation calculation, and draw the temperature cloud map.

[0115] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the transformer electromagnetic thermal analysis method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0116] This application also provides a method, apparatus, equipment, and storage medium device for electromagnetic thermal analysis of transformers. Please refer to [link / reference]. Figure 6 The methods, apparatus, equipment, and storage media devices for transformer electromagnetic thermal analysis include: Data acquisition module 10 is used to acquire the design dimension parameters of the transformer; Data processing module 20 is used to determine the transformer geometric model and model description configuration file based on design dimension parameters; The loss analysis module 30 is used to acquire component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions. Based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and model description configuration file, it performs electromagnetic field simulation on the transformer geometric model to obtain magnetic field loss distribution data. The temperature rise analysis module 40 is used to obtain the oil flow information of the structural components and the setting parameters of the convection coefficient, and to perform temperature field simulation on the geometric model of the transformer based on the oil flow information of the structural components, the setting parameters of the convection coefficient and the magnetic field loss distribution data to obtain temperature rise data. The results generation module 50 is used to generate an electromagnetic thermal analysis report of the transformer based on magnetic field loss distribution data and temperature rise data.

[0117] In one embodiment, the loss analysis module 30 is further configured to acquire a coil verification identifier, wherein the coil verification identifier is used to determine whether to perform electromagnetic field simulation on the coil; Electromagnetic verification supplementary parameters are read from the model description configuration file based on the coil verification identifier; Electromagnetic field simulation was performed on the transformer geometric model based on the component material setting parameters, excitation current setting parameters, coil structure setting parameters, tap setting conditions, and electromagnetic verification supplementary parameters to obtain magnetic field loss distribution data.

[0118] In one embodiment, the temperature rise analysis module 40 is also used to obtain the eddy current loss value of the user-selected structural component based on the magnetic field loss distribution data. The geometric model of the transformer is subdivided into elements to obtain element subdivision data; Based on the element partitioning data, the eddy current loss value is mapped to the temperature rise element to obtain the heat load distribution data; Temperature field simulation was performed based on the oil flow information of structural components, the set parameters of convection coefficient, and the thermal load distribution data to obtain temperature rise data.

[0119] In one embodiment, the temperature rise analysis module 40 is further used to determine whether the user-selected structural component includes a coil, and to obtain the determination result of the structural component to be analyzed; When the result of the analysis of the structural component is that the user-selected structural component includes a coil, the loss values ​​of multiple types of coils are obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained. When the result of the analysis of the structural component is that the user-selected structural component does not include the coil, the loss value of the non-coil structural component is obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained.

[0120] In one embodiment, the temperature rise analysis module 40 is also used to evaluate the oil flow effect of the user-selected structural component based on the oil flow information of the structural component, and obtain the oil flow effect evaluation result; When the oil flow effect evaluation results meet the preset conditions, temperature field simulation is performed on the user-selected structural component based on the first convection coefficient and heat load distribution data, and temperature rise data is obtained. When the oil flow effect evaluation results do not meet the preset conditions, the temperature field simulation of the user-selected structural component is performed based on the second convection coefficient and heat load distribution data, according to the convection coefficient setting parameter, to obtain temperature rise data, wherein the first convection coefficient is greater than the second convection coefficient.

[0121] In one embodiment, the data processing module 20 is further configured to perform geometric modeling based on design dimension parameters to obtain an initial geometric model; The transformer geometric model is obtained by removing the pre-defined structural components from the initial geometric model. Extract the model parameter description information from the transformer geometric model to obtain the model description configuration file.

[0122] In one embodiment, the result generation module 50 is further configured to generate a magnetic density cloud map and a magnetic field line distribution cloud map of the structural component based on the magnetic field loss distribution data. Temperature cloud maps of structural components are generated based on temperature rise data; An electromagnetic thermal analysis report is generated based on the magnetic density cloud map, magnetic field line distribution cloud map, and structural component temperature cloud map.

[0123] The transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device provided in this application, employing the transformer electromagnetic thermal analysis method in the above embodiments, can solve the technical problem of how to unify the design and verification models during the transformer electromagnetic thermal analysis process, thereby shortening the verification cycle. Compared with the prior art, the beneficial effects of the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device provided in this application are the same as those of the transformer electromagnetic thermal analysis method provided in the above embodiments, and other technical features in the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0124] This application provides a transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device. The transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the transformer electromagnetic thermal analysis method in the above embodiment 1.

[0125] The following is for reference. Figure 7This document illustrates a structural schematic diagram of a transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device suitable for implementing embodiments of this application. The transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device in the embodiments of this application may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 7 The transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device shown are merely examples and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0126] like Figure 7 As shown, the transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device may include a processing device 1001 (e.g., a central processing unit, graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the transformer electromagnetic thermal analysis method, apparatus, device, and storage medium device. The processing device 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show transformer electromagnetic thermal analysis methods, apparatus, equipment, and storage medium devices with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0127] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0128] The transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device provided in this application, employing the transformer electromagnetic thermal analysis method in the above embodiments, can solve the technical problem of how to unify the design and verification models during the transformer electromagnetic thermal analysis process, thereby shortening the verification cycle. Compared with the prior art, the beneficial effects of the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device provided in this application are the same as those of the transformer electromagnetic thermal analysis method provided in the above embodiments, and other technical features in the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0129] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0130] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0131] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the transformer electromagnetic thermal analysis method in the above embodiments.

[0132] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory), or flash memory, optical fiber, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0133] The aforementioned computer-readable storage medium may be included in the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device; or it may exist independently and not assembled into the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device.

[0134] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device, the transformer electromagnetic thermal analysis method, apparatus, equipment, and storage medium device cause the following: to acquire the transformer's design dimensional parameters; to determine the transformer's geometric model and model description configuration file based on the design dimensional parameters; to acquire component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions, and to perform electromagnetic field simulation on the transformer's geometric model based on these parameters to obtain magnetic field loss distribution data; to acquire structural component oil flow information and convection coefficient setting parameters, and to perform temperature field simulation on the transformer's geometric model based on these parameters to obtain temperature rise data; and to generate a transformer electromagnetic thermal analysis report based on the magnetic field loss distribution data and temperature rise data.

[0135] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0136] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0137] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0138] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described transformer electromagnetic thermal analysis method. This solves the technical problem of how to unify the design and verification models during the transformer electromagnetic thermal analysis process, thereby shortening the verification cycle. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the transformer electromagnetic thermal analysis method provided in the above embodiments, and will not be repeated here.

[0139] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the transformer electromagnetic thermal analysis method described above.

[0140] The computer program product provided in this application can solve the technical problem of how to unify the design and verification models in the process of transformer electromagnetic thermal analysis, thereby shortening the verification cycle. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the transformer electromagnetic thermal analysis method provided in the above embodiments, and will not be repeated here.

[0141] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for electromagnetic thermal analysis of a transformer, characterized in that, The transformer electromagnetic thermal analysis method includes: Obtain the design dimensions of the transformer; Based on the aforementioned design dimensional parameters, determine the transformer geometric model and model description configuration file; The component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions are obtained. Based on the component material setting parameters, the excitation current setting parameters, the coil structure setting parameters, the tap setting conditions, and the model description configuration file, electromagnetic field simulation is performed on the transformer geometric model to obtain magnetic field loss distribution data. Obtain the oil flow information and convection coefficient setting parameters of the structural components, and perform temperature field simulation on the geometric model of the transformer based on the oil flow information of the structural components, the convection coefficient setting parameters, and the magnetic field loss distribution data to obtain temperature rise data; An electromagnetic thermal analysis report of the transformer is generated based on the magnetic field loss distribution data and the temperature rise data.

2. The method as described in claim 1, characterized in that, The step of performing electromagnetic field simulation on the transformer geometric model based on the component material setting parameters, the excitation current setting parameters, the coil structure setting parameters, the tap setting conditions, and the model description configuration file to obtain magnetic field loss distribution data includes: Obtain the coil verification identifier, wherein the coil verification identifier is used to determine whether to perform electromagnetic field simulation on the coil; Electromagnetic verification supplementary parameters are read from the model description configuration file based on the coil verification identifier; Electromagnetic field simulation was performed on the transformer geometric model based on the component material setting parameters, the excitation current setting parameters, the coil structure setting parameters, the tap setting conditions, and the electromagnetic verification supplementary parameters to obtain magnetic field loss distribution data.

3. The method as described in claim 1, characterized in that, The step of performing temperature field simulation on the transformer geometric model based on the oil flow information of the structural components, the convection coefficient setting parameters, and the magnetic field loss distribution data to obtain temperature rise data includes: The eddy current loss value of the user-selected structural component is obtained based on the magnetic field loss distribution data. The geometric model of the transformer is divided into elements to obtain element subdivision data; Based on the unit subdivision data, the eddy current loss value is mapped to the temperature rise unit to obtain the heat load distribution data; Temperature field simulation is performed based on the oil flow information of the structural components, the convection coefficient setting parameters, and the heat load distribution data to obtain temperature rise data.

4. The method as described in claim 3, characterized in that, The step of obtaining the eddy current loss value of the user-selected structural component based on the magnetic field loss distribution data includes: Determine whether the user-selected structural component includes a coil to obtain the determination result of the structural component to be analyzed; When the result of the analysis of the structural component is that the user-selected structural component includes a coil, the loss values ​​of multiple types of coils are obtained based on the magnetic field loss distribution data to obtain the eddy current loss value of the user-selected structural component. When the result of the analysis of the structural component is that the user-selected structural component does not include the coil, the loss value of the non-coil structural component is obtained based on the magnetic field loss distribution data, and the eddy current loss value of the user-selected structural component is obtained.

5. The method as described in claim 3, characterized in that, The step of performing temperature field simulation based on the oil flow information of the structural components, the convection coefficient setting parameters, and the heat load distribution data to obtain temperature rise data includes: The oil flow effect of the user-selected structural component is evaluated based on the oil flow information of the structural component, and an oil flow effect evaluation result is obtained. When the oil flow effect evaluation result meets the preset conditions, the temperature field simulation of the user-selected structural component is performed based on the first convection coefficient of the convection coefficient setting parameter and the heat load distribution data to obtain temperature rise data. When the oil flow effect evaluation result does not meet the preset conditions, the temperature field simulation of the user-selected structural component is performed based on the second convection coefficient of the convection coefficient setting parameter and the heat load distribution data to obtain temperature rise data, wherein the first convection coefficient is greater than the second convection coefficient.

6. The method as described in claim 1, characterized in that, The steps of determining the transformer geometric model and model description configuration file based on the design dimension parameters include: Based on the design dimension parameters, geometric modeling is performed to obtain the initial geometric model; The transformer geometric model is obtained by removing the preset structural components from the initial geometric model; Extract the model parameter description information of the transformer geometric model to obtain the model description configuration file.

7. The method as described in claim 1, characterized in that, The step of generating a transformer electromagnetic thermal analysis report based on the magnetic field loss distribution data and the temperature rise data includes: Based on the magnetic field loss distribution data, generate a magnetic density cloud map and a magnetic field line distribution cloud map of the structural components; A temperature cloud map of the structural component is generated based on the temperature rise data; An electromagnetic thermal analysis report is generated based on the magnetic density cloud map, the magnetic field line distribution cloud map, and the temperature cloud map of the structural component.

8. A transformer electromagnetic thermal analysis device, characterized in that, The device includes: The data acquisition module is used to acquire the design dimension parameters of the transformer; The data processing module is used to determine the transformer geometric model and model description configuration file based on the design dimension parameters; The loss analysis module is used to acquire component material setting parameters, excitation current setting parameters, coil structure setting parameters, and tap setting conditions, and to perform electromagnetic field simulation on the transformer geometric model based on the component material setting parameters, the excitation current setting parameters, the coil structure setting parameters, the tap setting conditions, and the model description configuration file to obtain magnetic field loss distribution data. The temperature rise analysis module is used to acquire the oil flow information of the structural components and the convection coefficient setting parameters, and to perform temperature field simulation on the geometric model of the transformer based on the oil flow information of the structural components, the convection coefficient setting parameters, and the magnetic field loss distribution data to obtain temperature rise data; The result generation module is used to generate a transformer electromagnetic thermal analysis report based on the magnetic field loss distribution data and the temperature rise data.

9. A transformer electromagnetic thermal analysis device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the transformer electromagnetic thermal analysis method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the transformer electromagnetic thermal analysis method as described in any one of claims 1 to 7.

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