Optimization method, device and equipment for anti-short-circuit transformer and storage medium

Abstract

The application discloses an anti-short-circuit transformer optimization method and device, equipment and a storage medium, relates to the technical field of transformer optimization, and discloses an anti-short-circuit transformer optimization method, which comprises the following steps: performing two-dimensional magnetic field distribution calculation according to transformer design parameters to obtain a magnetic induction intensity component of an equivalent calculation point; performing electromagnetic force distribution calculation according to the magnetic induction intensity component to obtain a radial linear force load and an axial force distribution; performing radial instability position iterative optimization according to the radial linear force load to obtain an instability position set; and performing transformer structure optimization according to the instability position set and the axial force distribution to complete the optimization of the anti-short-circuit transformer. According to the scheme, the precise optimization of the anti-short-circuit transformer can be realized, and the short-circuit impact resistance of the transformer is effectively improved.

Description

Technical Field

[0001] This application relates to the field of transformer optimization technology, and in particular to optimization methods, apparatus, equipment and storage media for short-circuit resistant transformers. Background Technology

[0002] Against the backdrop of rapid development in new energy power generation, wind power and photovoltaic applications place higher demands on the operational performance of distribution transformers. In these scenarios, the load exhibits significant fluctuations and uncertainties, the current often contains harmonic components, and the power output changes frequently, causing transformers to operate at or even exceed their rated load for extended periods. Under these operating conditions, transformers not only need excellent electrical performance but also strong short-circuit withstand capabilities to cope with inrush currents generated by grid fluctuations and faults.

[0003] Given the aforementioned application background, traditional technologies typically rely on experience for structural reinforcement design or employ the finite element method (FEM) for transformer stress analysis. In structural design, strength is often increased by adding overall supporting structures or thickening conductor materials, but this approach lacks specificity and can easily lead to material waste and temperature rise issues. In simulation analysis, two-dimensional axisymmetric models are difficult to apply to elliptical structures, while three-dimensional finite element modeling is complex and computationally intensive, failing to meet the efficiency requirements of engineering design. Summary of the Invention

[0004] The main objective of this application is to provide an optimization method, apparatus, equipment, and storage medium for short-circuit resistant transformers, aiming to solve the technical problem of efficiently and accurately analyzing and locating the stress distribution and structural weak points of elliptical structure transformers under short-circuit impact conditions.

[0005] To achieve the above objectives, this application proposes an optimization method for short-circuit resistant transformers, the method comprising: Two-dimensional magnetic field distribution calculations are performed based on transformer design parameters to obtain the magnetic induction intensity components at the equivalent calculation points. The electromagnetic force distribution is calculated based on the magnetic induction intensity components to obtain the radial linear force load and axial force distribution. Based on the radial linear force load, the radial instability location is iteratively optimized to obtain the set of instability locations; The transformer structure is optimized based on the set of instability locations and the distribution of axial forces to achieve the optimization of the short-circuit withstand transformer.

[0006] In one embodiment, the step of iteratively optimizing the radial instability location based on the radial linear force load to obtain the set of instability locations includes: Determine the location of the target bending moment based on the radial linear force load; Determine whether the target bending moment location is located at the endpoint of the finite element model; When the target bending moment position is not located at the endpoint, iterative optimization is performed based on the target bending moment position, and the target bending moment position is added to the set of instability positions. Then, the step of determining the target bending moment position based on the radial linear force load is returned until the target bending moment position is located at the endpoint, thus obtaining the set of instability positions.

[0007] In one embodiment, the step of determining the target bending moment location based on the radial linear force load includes: Apply radial linear force loads under the initial constraint conditions of the finite element model to obtain the target constraint conditions; Calculate the bending moment distribution of the transformer under the target constraints; The location of the target bending moment is determined based on the bending moment distribution.

[0008] In one embodiment, the magnetic flux density component includes a radial component and an axial component; The steps for calculating the two-dimensional magnetic field distribution based on transformer design parameters and obtaining the magnetic induction intensity components at the equivalent calculation point include: Determine the equivalent calculation point of the transformer based on its design parameters; The mirror surface to be calculated is determined based on the core column interface, upper yoke, and lower yoke of the transformer. The two-dimensional magnetic field distribution of the equivalent calculation point is calculated based on the mirror to be calculated, and the radial and axial components of the equivalent calculation point are obtained.

[0009] In one embodiment, the transformer design parameters include core size parameters and coil structure parameters; The steps for determining the equivalent calculation point of a transformer based on its design parameters include: The elliptical structure of the transformer is equivalently processed based on the core size parameters to obtain the equivalent circumference radius; The transformer coil is divided radially based on the equivalent circumference radius and coil structure parameters to obtain a set of discrete units; The equivalent calculation point of the transformer is determined by the center point of the discrete element in the discrete element set.

[0010] In one embodiment, the step of calculating the electromagnetic force distribution based on the magnetic induction intensity components to obtain the radial linear load and axial force distribution includes: The radial force at the equivalent calculation point is calculated based on the radial component of the magnetic induction intensity component and the current parameters. Generate radial linear force load based on radial force; The axial force and axial direction of the axial force at the equivalent calculation point are calculated based on the axial component of the magnetic induction intensity component and the current parameters. The axial force is classified and cumulatively distributed according to its axial direction to obtain the axial force distribution.

[0011] In one embodiment, the structural optimization of the transformer based on the set of instability locations and the axial force distribution to complete the optimization steps of the short-circuit withstand transformer include: Obtain a preset threshold number and determine the number of unstable locations based on the set of unstable locations; When the number of unstable locations is less than or equal to a preset threshold, a temperature rise optimized coil is obtained by performing local reinforcement based on the set of unstable locations. Based on the axial force distribution, the high-voltage coil is axially segmented and the voltage regulating section is symmetrically arranged to obtain a coil with optimized structure. The transformer structure is optimized based on the temperature rise optimization coil and the structure optimization coil to complete the optimization of the short-circuit resistant transformer.

[0012] In addition, to achieve the above objectives, this application also proposes an optimization device for a short-circuit resistant transformer. The optimization device for a short-circuit resistant transformer includes: a magnetic field distribution calculation module, used to perform two-dimensional magnetic field distribution calculation based on transformer design parameters to obtain the magnetic induction intensity components of the equivalent calculation point; The electromagnetic force distribution calculation module is also used to calculate the electromagnetic force distribution based on the magnetic induction intensity components, and obtain the radial linear force load and axial force distribution; The iterative optimization module is used to iteratively optimize the radial instability position based on the radial linear force load, and obtain the set of instability positions. The structural optimization module is used to optimize the structure based on the set of instability locations and the axial force distribution to generate the target transformer.

[0013] In addition, to achieve the above objectives, this application also proposes an optimization device for a short-circuit-resistant transformer, the device comprising: 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 optimization method for the short-circuit-resistant transformer as described above.

[0014] 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 optimization method for short-circuit-resistant transformers as described above.

[0015] 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 optimization method for short-circuit transformers as described above.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: By calculating the magnetic induction intensity components through two-dimensional magnetic field distribution, accurate basic data is provided for subsequent electromagnetic force calculations. Then, the electromagnetic force distribution is calculated using the magnetic induction intensity components, quantifying the radial linear force load and axial force distribution. This enables the precise decomposition and conversion of the radial and axial electromagnetic forces on the coil under short-circuit conditions, providing accurate mechanical input for subsequent instability location optimization. Subsequently, radial instability location iterative optimization is carried out through radial linear force load, accurately locating the set of instability locations of the coil. Combining the set of instability locations with the axial force distribution, transformer structure optimization is carried out, achieving precise protection for radial instability weak points and axial force balance optimization. Compared with existing technologies, this significantly shortens the calculation cycle of transformer short-circuit protection optimization design, improves the adaptability and accuracy of magnetic field and force calculations, and achieves a significant improvement in the transformer's short-circuit protection capability, taking into account the transformer's short-circuit protection performance, manufacturing cost, and operating temperature rise index. Attached Figure Description

[0017] 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.

[0018] 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.

[0019] Figure 1 This is a flowchart illustrating an optimized method for short-circuit-resistant transformers according to this application. Figure 2 An engineering schematic diagram of the transformer coil structure provided in Embodiment 1 of the optimization method for short-circuit-resistant transformers of this application; Figure 3 This is a schematic cross-sectional view of the high-voltage coil axially segmented symmetrical arrangement and the voltage regulating section in the same layer, provided in Embodiment 1 of the optimized method for the short-circuit-resistant transformer of this application. Figure 4 This is a flowchart illustrating the second embodiment of the optimization method for short-circuit resistant transformers in this application. Figure 5 This is a schematic diagram of the module structure of the optimized device for the short-circuit-resistant transformer according to an embodiment of this application; Figure 6 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the optimization method of the anti-short-circuit transformer in the embodiments of this application.

[0020] 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

[0021] 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.

[0022] 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.

[0023] The main solution of this application embodiment is as follows: perform two-dimensional magnetic field distribution calculation based on transformer design parameters to obtain the magnetic induction intensity component of the equivalent calculation point; perform electromagnetic force distribution calculation based on the magnetic induction intensity component to obtain radial linear force load and axial force distribution; perform radial instability position iterative optimization based on radial linear force load to obtain the set of instability positions; and perform transformer structure optimization based on the set of instability positions and axial force distribution to complete the optimization of the short-circuit resistant transformer.

[0024] In this embodiment, for ease of description, the following description will focus on the optimized device for identifying short-circuit transformers.

[0025] Because existing technologies struggle to efficiently and accurately analyze and locate the stress distribution and structural weaknesses of elliptical transformers under short-circuit impact conditions, this application provides a solution. By calculating the magnetic induction intensity components through two-dimensional magnetic field distribution, precise foundational data is provided for subsequent electromagnetic force calculations. Then, the electromagnetic force distribution is calculated using the magnetic induction intensity components, quantifying the radial linear load and axial force distribution. This achieves precise decomposition and conversion of the radial and axial electromagnetic forces acting on the coil under short-circuit conditions, providing accurate mechanical input for subsequent instability location optimization. Subsequently, radial linear load is used to iteratively optimize the radial instability location, accurately locating the set of coil instability locations. Combining the instability location set with the axial force distribution, transformer structural optimization is performed, achieving precise protection against radial instability weaknesses and balanced optimization of axial forces. Compared to existing technologies, this significantly shortens the calculation cycle for transformer short-circuit protection optimization design, improves the adaptability and accuracy of magnetic field and force calculations, and significantly enhances the transformer's short-circuit resistance capability, while also considering the transformer's short-circuit resistance performance, manufacturing cost, and operating temperature rise.

[0026] It should be noted that the executing entity in 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 capable of performing the above functions, such as an optimization device for short-circuit transformers. The following description uses an optimization device for short-circuit transformers as an example to illustrate this embodiment and the subsequent embodiments.

[0027] Based on this, embodiments of this application provide an optimized method for short-circuit resistant transformers, referring to... Figure 1 , Figure 1This is a flowchart illustrating the first embodiment of the optimization method for short-circuit resistant transformers in this application.

[0028] In this embodiment, the optimization method for the short-circuit withstand transformer includes steps S10~S40: Step S10: Perform two-dimensional magnetic field distribution calculation based on transformer design parameters to obtain the magnetic induction intensity components at the equivalent calculation point.

[0029] It should be noted that transformer design parameters are the basic design data used to carry out calculations of the electromagnetic and mechanical properties of transformers, covering core contents such as transformer core structure dimensions, conductor parameters, coil arrangement, and short-circuit current parameters.

[0030] In addition, two-dimensional magnetic field distribution calculation is a planar magnetic field analytical calculation carried out on the transformer coil and core structure, used to obtain the magnetic field distribution in the internal space of the transformer under short-circuit conditions.

[0031] It should be understood that the two-dimensional magnetic field distribution calculation method does not require the construction of a complex three-dimensional model, which can greatly reduce the complexity of the calculation, while avoiding the problem that the two-dimensional axisymmetric model is not applicable to non-circular structures.

[0032] In addition, the equivalent calculation point is the characteristic location point of each smallest calculation unit after the transformer coil is discretized. Usually, the center point of each smallest calculation unit is taken as the equivalent calculation point.

[0033] It should be understood that by using equivalent calculation points, a continuous coil structure can be transformed into multiple discrete calculation units, enabling a refined solution to the magnetic field conditions at each position of the coil, and ensuring that the calculation results can cover the entire area of ​​the coil.

[0034] Furthermore, the magnetic flux density component is a core physical quantity characterizing the magnetic field properties at a specific location in space, and it can be decomposed into two independent components: the radial component and the axial component. Magnetic flux density components in different directions can be used to calculate the electromagnetic force acting on a coil in different directions.

[0035] Understandably, the core data of the iron core and coil in the transformer design parameters are extracted first. The average value of the major axis and minor axis of the elliptical iron core structure is taken as the equivalent circumference radius. The coil is discretized along the radial and axial directions to obtain each equivalent calculation point. The single mirror method analytical calculation is performed with the iron core column interface and the upper and lower iron yokes as mirror surfaces to obtain the magnetic induction intensity components corresponding to each equivalent calculation point.

[0036] It should be understood that by combining equivalence and discretization with the single-image method, the accurate solution of the two-dimensional magnetic field distribution can be quickly completed, which greatly improves the design calculation efficiency and ensures the matching degree between the magnetic field calculation results and the actual product short-circuit conditions.

[0037] Step S20: Calculate the electromagnetic force distribution based on the magnetic induction intensity components to obtain the radial linear load and axial force distribution.

[0038] It should be noted that the electromagnetic force distribution calculation is based on the coupling relationship between the magnetic field and the current, and is the process of calculating the electromagnetic force at each position of the transformer coil under short-circuit conditions.

[0039] In addition, radial linear force load is a standardized load data that characterizes the magnitude of the radial electromagnetic force per unit length of the coil, and can be directly imported into mechanical analysis programs to carry out subsequent strength calculations.

[0040] In this embodiment, the radial linear force load is an averaged load obtained by accumulating the radial electromagnetic forces in the same circumferential direction of the coil. It can accurately characterize the radial tensile or contractile force on the entire coil.

[0041] In addition, axial force distribution is data that characterizes the magnitude and direction of the axial electromagnetic force at each position along the axial height of the coil, and can comprehensively reflect the force situation at each position of the coil in the axial direction under short-circuit conditions.

[0042] It is understandable that the magnetic induction intensity component is coupled with the short-circuit current corresponding to the coil for calculation, and the radial electromagnetic force and axial electromagnetic force at each equivalent calculation point of the coil are obtained respectively. The radial electromagnetic force in the same coil is accumulated to obtain the radial linear force load, and the axial electromagnetic force is accumulated according to direction and position to obtain the axial force distribution.

[0043] In this embodiment, the radial forces of the high-voltage coil stretching outward and the low-voltage coil contracting inward are linearly accumulated in the radial direction and combined to generate radial linear force and axial pressure that can be directly used for mechanical simulation.

[0044] It should be understood that by accurately converting the magnetic field calculation results into loads usable for mechanical analysis, the radial and axial electromagnetic forces were decomposed and standardized. The generated load data can be directly adapted to the subsequent mechanical analysis process without additional format conversion and data processing, further improving design efficiency.

[0045] In one feasible implementation, step S20 may include steps S21 to S24: Step S21: Calculate the radial force at the equivalent calculation point based on the radial component of the magnetic induction intensity component and the current parameters.

[0046] It should be noted that the radial component of the magnetic flux density is the component of the magnetic flux density along the radius of the coil. It is a physical quantity that characterizes the strength and direction of the radial spatial magnetic field of the coil. After the radial component couples with the current in the coil, it generates a radial electromagnetic force acting on the coil, which is the core fundamental parameter for calculating the radial force on the coil.

[0047] In addition, the current parameter is a core electrical parameter that characterizes the magnitude and direction of the current flowing in the coil under short-circuit conditions of a transformer. It is usually taken from the rated short-circuit current in the transformer design calculation sheet.

[0048] Additionally, radial force is the electromagnetic force exerted on the coil along the radial direction under short-circuit conditions. The radial force on the low-voltage coil is inward contraction, while the radial force on the high-voltage coil is outward stretching.

[0049] Understandably, the radial component of the magnetic induction intensity component corresponding to each equivalent calculation point is extracted, and the current parameter corresponding to the coil to which the equivalent calculation point belongs is matched. The radial component and the current parameter are coupled and calculated to obtain the radial force corresponding to each equivalent calculation point, and the direction of action of the radial force is determined.

[0050] In this embodiment, the radial force of each discrete unit of the low-voltage coil and the high-voltage coil is calculated in this way, wherein the radial force of the low-voltage coil is in the inward contraction direction and the radial force of the high-voltage coil is in the outward stretching direction.

[0051] Step S22: Generate radial linear force load based on radial force.

[0052] It should be noted that radial linear force load is a standardized load data characterizing the average radial force acting on a unit circumference of the coil. It can be directly imported into mechanical analysis programs to calculate the radial strength of the coil. Radial linear force load is obtained by summarizing all radial forces on the same circumference of the coil, and can comprehensively characterize the radial effect acting on the entire coil.

[0053] It is understandable that the radial forces corresponding to all equivalent calculation points within the same coil are summed up according to their direction of action to calculate the total radial force on the entire coil. Then, the total radial force is averaged over the circumference of the coil to generate a radial linear load that can be directly used for subsequent mechanical calculations.

[0054] In this embodiment, the radial forces of the high-voltage coil stretching outward and the low-voltage coil contracting inward are linearly accumulated in the radial direction and combined to generate a radial linear force load that can be directly used for mechanical simulation.

[0055] It should be understood that converting discrete single-point radial forces into standardized radial linear loads enables seamless adaptation between electromagnetic calculation results and mechanical analysis interfaces, eliminating the need for additional data format conversion. This significantly improves the continuity of the design process and computational efficiency, while ensuring the accuracy of load input.

[0056] Step S23: Calculate the axial force and axial direction of the equivalent calculation point based on the axial component of the magnetic induction intensity component and the current parameters.

[0057] It should be noted that the axial component of the magnetic flux density is the component of the magnetic flux density along the axial height of the coil, and is a physical quantity characterizing the strength and direction of the axial spatial magnetic field of the coil. After the magnetic flux density component couples with the current in the coil, it generates an axial electromagnetic force acting on the coil, which is the core fundamental parameter for calculating the axial force on the coil.

[0058] In addition, axial force is the electromagnetic force exerted on the coil along the axial height direction under short-circuit conditions. This force can cause axial compression, stretching or misalignment deformation of the coil, and is the core factor affecting the axial short-circuit withstand capability of the transformer.

[0059] In addition, the axial direction of the axial force is the direction in which the axial force acts along the axial height of the coil. It is divided into two directions: upward and downward. The axial force in different directions will produce different effects of compression or tension on the coil.

[0060] For example, the radial and axial forces at each center point can be calculated by multiplying the magnetic induction intensity by the current.

[0061] It is understandable that the axial component of the magnetic induction intensity component corresponding to each equivalent calculation point is extracted, the current parameter corresponding to the coil to which the equivalent calculation point belongs is matched, and the axial component and the current parameter are coupled to calculate the axial force corresponding to each equivalent calculation point, and the axial direction corresponding to the axial force is determined at the same time.

[0062] Step S24: Classify and cumulatively distribute the axial forces according to the axial direction to obtain the axial force distribution.

[0063] It is understandable that, taking the axial centerline of the coil as a reference, the axial forces of all equivalent calculation points are classified according to the axial direction of the axial force. The axial forces in the same axial direction are accumulated sequentially according to the axial position, and the cumulative axial force values ​​at each position along the axial height of the coil are statistically obtained, thus forming a complete axial force distribution.

[0064] In this embodiment, the axial forces of each coil coil are classified and accumulated in this way to obtain the axial force distribution of the entire axial height of the coil, which provides a direct basis for the subsequent symmetrical design of the axial structure.

[0065] Step S30: Iteratively optimize the radial instability position based on the radial linear force load to obtain the set of instability positions.

[0066] It should be noted that the radial instability position is the weakest point in the coil under short-circuit conditions, where it is most prone to deformation or even structural damage under the action of radial electromagnetic force. It is also the target position for coil short-circuit reinforcement.

[0067] It should be understood that the bending moment at the radial instability location far exceeds the natural constraint endpoint of the coil, and will be the first to experience structural instability under short-circuit impact, directly determining the upper limit of the transformer's overall short-circuit withstand capability.

[0068] Furthermore, iterative optimization employs a cyclical calculation method that involves multiple iterations of calculation and constraint overlay to gradually identify all radial instability locations of the coil, enabling comprehensive and accurate localization of weak points. By identifying one instability location and applying virtual constraints in each iteration, and then proceeding to the next calculation, the process continues until all instability locations have been identified, ensuring that no weak points are overlooked.

[0069] Furthermore, the set of instability locations is a summary set of all radial instability locations of the coil, identified through iterative optimization, covering all weak points of the coil under the action of short-circuit radial force.

[0070] Understandably, a quarter-finite element model of the coil is first constructed based on the ANSYS Parametric Design Language (APDL). Displacement and rotation constraints are applied to the two endpoints of the model. The bending moment distribution of the coil is obtained by importing radial linear force loads. The location of the maximum bending moment is identified and it is determined whether it is an instability location. Virtual constraints are applied to the identified instability locations and the calculation is repeated. The above process is repeated until the location of the maximum bending moment falls at the endpoint. All identified instability locations are then summarized to obtain the set of instability locations.

[0071] For example, using the endpoint bending moment as the instability judgment baseline, after the first instability point is identified in the first solution, virtual constraints are superimposed, and the process is iterated repeatedly until the maximum bending moment falls on the preset strong endpoint. Finally, the four instability points in one-quarter of the model are output to form a set of instability locations.

[0072] It should be understood that by using a constrained moment iteration optimization algorithm, all radial instability weak points of the elliptical structure coil were accurately identified, solving the core problem of blindly reinforcing based solely on experience in existing technologies. This eliminates the need for indiscriminate reinforcement across the entire area, providing a clear target for subsequent precise structural optimization.

[0073] In one feasible implementation, step S30 may include steps S31 to S33: Step S31: Determine the location of the target bending moment based on the radial linear force load.

[0074] It should be noted that the target bending moment location is the position in the coil structure where the bending moment is the largest after applying a radial linear force load. This is the point where the coil faces the highest mechanical risk under radial force. The bending moment value at the target bending moment location directly reflects the deformation risk at the corresponding position of the coil and is the basis for determining whether the coil will experience radial instability.

[0075] It is understandable that a radial linear force load is applied to a preset coil finite element model, and the bending moment distribution data of the entire coil range is obtained through mechanical solution. The point with the largest bending moment value is selected from the bending moment distribution data and determined as the target bending moment location.

[0076] In this embodiment, the generated radial linear force load is imported into the APDL quarter-finite element model to solve for the bending moment distribution of the coil, and the point with the largest bending moment is selected as the target bending moment location.

[0077] It should be understood that by accurately locating the high-risk point with the largest bending moment in the coil through mechanical solution, a clear target point is provided for subsequent instability judgment and iterative optimization, ensuring that subsequent instability identification can accurately focus on the weakest position of the coil.

[0078] In one feasible implementation, step S31 may include steps S311 to S313: Step S311: Apply radial linear force load under the initial constraint conditions of the finite element model to obtain the target constraint conditions.

[0079] It should be noted that the initial constraints are the basic displacement and rotation constraints applied to the finite element model before the first mechanical calculation. The constraint locations are the two natural endpoints of the finite element model.

[0080] Furthermore, the target constraint conditions are the calculation conditions of the finite element model with complete boundary constraints and load input after the radial linear force load is applied. They are the fundamental prerequisites for subsequent bending moment distribution calculations. The target constraint conditions contain all information about the model's geometric parameters, constraint settings, and load inputs, and can be directly used for subsequent mechanical solution calculations.

[0081] Understandably, the initial constraints are first set for the completed finite element model, and then the radial linear force load is fully applied to the finite element model with the initial constraints to complete the combination setting of load and constraint, thus obtaining the target constraint conditions that can be directly used for mechanical solution.

[0082] It should be understood that by matching the initial constraints to the actual production process and simultaneously applying the radial linear force load precisely, the boundary conditions for subsequent mechanical calculations are ensured to be completely consistent with the actual working conditions of the product, thus avoiding the deviation between the simulation calculations and the actual product performance and providing a reliable basis for the accurate calculation of the bending moment distribution.

[0083] Step S312: Calculate the bending moment distribution of the transformer under the target constraints.

[0084] It should be noted that the bending moment distribution is data that characterizes the distribution of the bending moment at each position along the circumference of the coil, and can fully reflect the risk of bending deformation at each position of the coil under radial force.

[0085] Understandably, based on the target constraints, the mechanical solver is called to solve the finite element model, and the bending moment values ​​at each position within the entire range of the coil model are obtained. The values ​​are then summarized and organized according to the coil's position to obtain the complete coil bending moment distribution.

[0086] Step S313: Determine the location of the target bending moment based on the bending moment distribution.

[0087] Understandably, all bending moment values ​​in the bending moment distribution are compared, the maximum value is selected from all values, the coil position corresponding to the maximum value is located, and this position is determined as the target bending moment position.

[0088] It should be understood that by comparing and filtering the bending moment distribution data, the highest risk point with the largest bending moment of the coil was accurately identified, providing a clear target for subsequent instability judgment and iterative optimization, and ensuring that the subsequent identification of instability location can focus on the most critical weak link of the coil.

[0089] Step S32: Determine whether the target bending moment location is located at the endpoint of the finite element model.

[0090] It should be noted that the endpoints of the finite element model are the two boundary endpoints of the quarter-finite element model of the coil, which are also the physical locations where process constraints must be applied during the actual production of the transformer. These locations undergo forced reinforcement during production and are natural reinforcement points in the coil structure. Their bending moment values ​​can be used as a benchmark reference line for instability judgment.

[0091] Furthermore, the finite element model is a digital model constructed based on the actual structural parameters of the coil, used for mechanical strength simulation calculations. In this embodiment, a quarter-finite element model of the coil is used. This model can significantly reduce the complexity of mechanical calculations and shorten the calculation cycle while ensuring calculation accuracy.

[0092] It is understandable that the coordinate information of the target bending moment position is obtained, and the coordinate information of the two endpoints of the finite element model is extracted at the same time. The coordinates of the target bending moment position are compared with the coordinates of the endpoints to determine whether they coincide, thereby determining whether the target bending moment position is located at the endpoints.

[0093] Step S33: When the target bending moment position is not located at the endpoint position, perform iterative optimization based on the target bending moment position and add the target bending moment position to the set of instability positions, and return to the step of determining the target bending moment position based on the radial linear force load until the target bending moment position is located at the endpoint position, thus obtaining the set of instability positions.

[0094] Understandably, when it is determined that the target bending moment position is not located at the endpoint position, the target bending moment position is added to the set of instability positions. At the same time, virtual displacement constraints and rotation constraints are applied at this position. Based on the updated constraint model, the new target bending moment position is recalculated and determined. The above process is repeated until the target bending moment position coincides with the endpoint position, and finally the complete set of instability positions is output.

[0095] In this embodiment, the target bending moment location is not located at the endpoint in the first solution. It is added to the set of instability locations and virtual constraints are applied before recalculation. This process is repeated until the maximum bending moment location falls on the preset endpoint. Finally, four instability locations within one-quarter of the model are output to form the set of instability locations.

[0096] Step S40: Optimize the structure of the transformer based on the set of instability locations and the distribution of axial force to complete the optimization of the short-circuit withstand transformer.

[0097] It should be noted that the structural optimization of the transformer is based on the identified instability location and axial stress condition, and is a targeted improvement design for the transformer coil structure and assembly process. It is divided into two core parts: radial structural optimization and axial structural optimization.

[0098] In addition, the optimization of short-circuit withstand transformers is achieved through a full-process electromagnetic calculation, mechanical analysis and structural improvement, which comprehensively enhances the transformer's short-circuit impact resistance.

[0099] Understandably, the temperature rise closed-loop verification is first performed based on the number of points in the set of instability locations. After the verification is passed, the instability locations are reinforced radially in a targeted manner. Then, the axial arrangement structure of the coil is adjusted according to the axial force distribution to balance the axial force on the coil, thereby completing the overall structural optimization and short-circuit withstand performance improvement of the transformer.

[0100] In one feasible implementation, step S40 may include steps S41 to S44: Step S41: Obtain a preset quantity threshold and determine the number of unstable locations based on the set of unstable locations.

[0101] It should be noted that the preset quantity threshold is a pre-set critical value used to limit the maximum number of reinforcements required for the radial instability location of the coil. This value is determined based on the transformer temperature rise limit and the internal heat dissipation space conditions.

[0102] In this embodiment, the preset quantity threshold can be 5.

[0103] Additionally, the number of instability locations refers to the total number of radial instability points included in the set of instability locations, which directly reflects the number of weak points in the radial direction of the coil. This number directly determines the scale of radial reinforcement measures and is the core basis for judging whether reinforcement measures will affect the transformer's temperature rise index.

[0104] It should be understood that by setting preset threshold values ​​and statistically analyzing the number of unstable locations, a pre-verification mechanism for short-circuit protection and temperature rise indicators has been established. This mechanism can predict the impact of reinforcement measures on transformer temperature rise in advance and avoid the problem of excessive temperature rise after the reinforcement design is completed.

[0105] Step S42: When the number of unstable locations is less than or equal to a preset threshold, local reinforcement is performed based on the set of unstable locations to obtain a temperature rise optimized coil.

[0106] It should be noted that localized reinforcement is a targeted reinforcement measure carried out only at the identified radial instability locations, rather than indiscriminate reinforcement of the entire coil area. This approach applies reinforcement structures only to the weak points of the coil, which can improve the coil's short-circuit withstand capability while minimizing the occupation of internal heat dissipation space.

[0107] Furthermore, the temperature rise optimized coil is a coil structure that, after undergoing localized reinforcement, meets both short-circuit withstand performance requirements and temperature rise limit standards. All reinforcement measures for this coil are controlled within the allowable temperature rise range, preventing excessive temperature rise due to impeded internal heat dissipation caused by the reinforcement structure.

[0108] Understandably, by comparing the number of unstable locations with a preset threshold, if the number of unstable locations does not exceed the preset threshold, targeted local reinforcement is carried out sequentially for each point in the set of unstable locations, and the temperature rise optimized coil is obtained after the processing is completed.

[0109] It should be understood that by using targeted local reinforcement, the radial weak points of the coil were precisely strengthened, abandoning the industry's conventional method of blindly reinforcing the entire area. While significantly improving the coil's short-circuit withstand capability, the impact of the reinforcement measures on temperature rise was strictly controlled, achieving a balance between short-circuit withstand performance and temperature rise index.

[0110] Step S43: Based on the axial force distribution, the high-voltage coil is axially segmented and the voltage regulating section is symmetrically arranged to obtain a structurally optimized coil.

[0111] It should be noted that the axial segmented arrangement is a structural design method in which the high-voltage coil is segmented along the axial height direction, with gaps reserved in the middle. This arrangement can optimize the axial force distribution of the coil, while reserving heat dissipation space for the coil, further balancing the axial force and temperature rise performance of the coil.

[0112] Additionally, the voltage regulating section is the winding section in the transformer coil used to adjust the voltage output level. Its arrangement directly affects the ampere-turn distribution at different tap positions of the transformer. Deviations in the arrangement of the voltage regulating section will directly lead to axial force imbalance, exacerbating the risk of axial deformation under short-circuit conditions.

[0113] Furthermore, symmetrical arrangement involves placing the voltage regulating sections on the same layer of the coil and symmetrically arranging them vertically with the axial centerline of the coil as a reference. This arrangement ensures that the ampere-turn distribution of the transformer remains symmetrical at different tap positions, significantly reducing axial unbalanced forces.

[0114] Furthermore, the optimized coil is a coil structure with balanced axial forces and symmetrical ampere-turn distribution after axial structural optimization. This coil can significantly reduce axial unbalanced forces under short-circuit conditions and significantly improve the transformer's axial short-circuit withstand capability.

[0115] Understandably, based on the axial force distribution, the unbalanced region of the coil's axial force is identified, and the high-voltage coil is segmented along the axial height. At the same time, the voltage regulating section is symmetrically arranged with the axial centerline as the reference. After completing the axial structural optimization, the structurally optimized coil is obtained.

[0116] It should be understood that by axially segmenting and symmetrically arranging the voltage regulating section, the ampere-turn imbalance problem at different tap positions is effectively eliminated, the axial unbalanced force under short-circuit conditions is significantly reduced, the axial short-circuit withstand capability of the transformer is significantly improved, and the heat dissipation performance of the coil is further optimized.

[0117] Step S44: Optimize the structure of the transformer based on the temperature rise optimization coil and the structure optimization coil to complete the optimization of the short-circuit resistant transformer.

[0118] Understandably, by integrating the radial reinforcement structure of the temperature rise optimization coil with the axial arrangement structure of the structural optimization coil, and simultaneously optimizing the transformer core support and overall assembly process, the overall structural optimization of the transformer is completed, achieving full-process optimization design of the short-circuit resistant transformer.

[0119] It should be understood that by integrating the dual optimization effects of radial precision reinforcement and axial force balance, a complete closed loop for transformer short-circuit protection optimization is formed. At the same time, the overall structural rigidity of the transformer is further improved through the optimization of the assembly process, achieving a comprehensive improvement in the transformer's short-circuit protection capability, while taking into account short-circuit protection performance, temperature rise index, and manufacturing cost.

[0120] Reference Figure 2 , Figure 2 This is an engineering schematic diagram of the transformer coil structure of the first embodiment of the optimization method for short-circuit resistant transformers of this application.

[0121] like Figure 2As shown, the left-hand main view displays the overall structure of the elliptical coil. Vertically, 433.5 indicates the coil's outer diameter, and 333.5 indicates its inner diameter. Horizontally, 276.5 and 268 are marked at the top, and 229 and 214 are marked in the middle, representing the length dimensions at different positions along the ellipse's major axis. Two symmetrical markings of 80 at the intersection of the central dashed crosshairs indicate the distance from the center to specific positions on either side. Multiple concentric elliptical lines distributed around the ellipse represent the coil windings. A blue triangle is marked at each of the four cardinal directions of the ellipse, corresponding to the radial instability locations of the low-voltage coil identified through APDL bending moment iteration optimization—critical locations requiring precise reinforcement. The right-hand center of the ellipse is marked "No support strip here," indicating that no additional reinforcement measures are needed at this location. The right end of the coil is marked with the number 14, and the coordinate reference x(y,z) is shown. The attached diagram on the right is titled "Schematic Diagram of Low-Voltage Copper Busbar Location," which details the local arrangement of the low-voltage coil copper busbar. R196.5 indicates the outer arc radius, two 10s indicate two gaps or width dimensions, R149 indicates the inner arc radius, and 80 indicates a height or distance dimension. Horizontally, from bottom to top, 204, 214, and 268 are labeled to indicate the length dimensions at different locations. Additionally, a(b,c) indicates the coordinate parameters of a specific point, and x(y,z) serves as a coordinate system reference.

[0122] Reference Figure 3 , Figure 3 This is a schematic cross-sectional view of the high-voltage coil axially segmented symmetrical arrangement and the voltage regulating section in the same layer, which is the first embodiment of the optimized method for short-circuit transformer of this application.

[0123] like Figure 3As shown in the diagram, the leftmost area, filled with a red diagonal line, represents the low-voltage coil. This area is labeled "Low-voltage coil," along with the number 480 and "1 turn," indicating the height parameter of the low-voltage coil. The number 7 and the foil gap indicate the spacing between the low-voltage copper foils. The overall axial height of the low-voltage coil is higher than that of the central high-voltage coil to achieve axial structural balance and reduce axial unbalanced forces. The central main body is the high-voltage coil, physically broken axially from the middle, forming two symmetrically arranged sections. A clear blank area is left between the two sections as a central gap for heat dissipation and insulation. This gap size corresponds to the 36-39 mm heat dissipation and insulation gap specified in the instruction manual. The upper and lower sections of the high-voltage coil are symmetrically arranged around their geometric center. Each section contains multiple coils, some of which are filled with a green grid pattern, indicating that the voltage regulating sections are arranged in the same layer, ensuring symmetrical ampere-turn distribution at maximum, rated, and minimum taps. The overall axial height of the high-voltage coil is marked as 449. The right side of the diagram is labeled with dimensions 79.5 and 12 from top to bottom, and 72.5 and 12 from bottom to top. These numbers represent the end insulation distance or segment gap dimensions. The upper right side of the diagram is labeled A, B, and C, and the lower right side is labeled X, Y, and Z, used to identify the start and end terminals or electrical connection points of the winding. The top and bottom have stepped end structures, and a green bent lead is located on the upper right side. This structure significantly reduces the axial unbalanced force under short-circuit limiting conditions by axially segmenting the high-voltage coil and reserving a gap in the middle, while arranging the voltage regulating sections on the same layer and symmetrically along the axial centerline. During assembly, a hydraulic device applies an 80 kN axial clamping force to the high-voltage coil to improve the overall structural rigidity, thereby enhancing the short-circuit withstand capability.

[0124] It should be understood that experiments can be conducted at different tap positions to obtain the phase reactance values ​​and phase reactance deviations after the tests. The data for both the phase reactance values ​​and phase reactance deviations are divided into three columns: A, B, and C. These columns are arranged sequentially according to tap positions 1, 3, and 5. After testing, the phase reactance values ​​after the tests for tap position 1 are found to be 56.15 ohms for phase A, 56.92 ohms for phase B, and 54.95 ohms for phase C. The corresponding phase reactance deviations are 5.39% for phase A, 6.45% for phase B, and 3.86% for phase C. For tap position 3, the phase reactance values ​​after the tests are 50.03 ohms for phase A, 50.60 ohms for phase B, and 49.01 ohms for phase C. The corresponding phase reactance deviations are 5.42% for phase A, 6.41% for phase B, and 4.10% for phase C. After testing, the phase reactance values ​​for phase A (at tap position 5) were 44.41 ohms, phase B was 44.48 ohms, and phase C was 43.47 ohms. The corresponding phase reactance deviations were 5.74% for phase A, 5.88% for phase B, and 4.14% for phase C. The test data showed a maximum phase deviation of 6.45%. A single-phase power supply was used for the test, with the test voltage applied to the two corners of the delta circuit. A total of 15 tests were conducted. The current waveforms were normal, and the time requirements met the standard. After the initial 9 tests, 3 additional tests were performed on each of phases A and B. The sample winding structure is a non-circular concentric coil. The standard specifies a reactance deviation of no more than ±7.5%, and the measured reactance deviation was 6.45%, meeting the standard requirements. The inspection was then terminated. The test data shows that the elliptical structure transformer produced by the manufacturing process combining the mirror method and APDL iterative optimization has a maximum three-phase reactance deviation of only 6.45% after 15 consecutive extreme short-circuit impact tests, which is far below the critical value of 7.5%. This effectively verifies that the transformer has excellent short-circuit withstand capability after accurately locating the radial instability position and implementing targeted reinforcement.

[0125] This embodiment provides an optimization method for short-circuit resistant transformers. By combining temperature rise closed-loop verification, it achieves precise reinforcement of radial weak points. At the same time, it balances the axial force of the coil through axial structure optimization, avoiding the problems of excessive temperature rise and soaring costs caused by blind reinforcement of the entire area. It achieves a balance between short-circuit resistance performance, temperature rise index and manufacturing cost.

[0126] 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 4 Step S10 of the optimization method for short-circuit withstand transformers includes steps S11 to S13: Step S11: Determine the equivalent calculation point of the transformer based on the transformer design parameters.

[0127] It should be noted that the equivalent calculation point is the characteristic location point of each smallest calculation unit after the transformer coil has been discretized. Usually, the center point of each smallest calculation unit is taken as the equivalent calculation point. By using the equivalent calculation point, the continuous coil structure can be transformed into multiple discrete calculation units, enabling a refined solution to the magnetic field conditions at each position of the coil and ensuring that the calculation results cover the entire area of ​​the coil.

[0128] It is understandable that the structural dimensions and layout parameters of the coils are extracted from the transformer design parameters, and the continuous coils are discretized along the radial and axial directions to obtain multiple independent minimum calculation units. The center point of each minimum calculation unit is then taken as the equivalent calculation point of the transformer.

[0129] For example, based on the transformer design parameters, the winding is divided into 3 parts along the radial direction, and a model is built along the axial direction for each block. The center point of each small block after division is taken as the equivalent calculation point.

[0130] It should be understood that by discretizing the coil to determine the equivalent calculation points, a refined decomposition and solution of the magnetic field across the entire range of the coil is achieved, avoiding the accuracy deviation of continuous structure calculations and providing a standardized calculation unit for subsequent analytical magnetic field calculations.

[0131] In one feasible implementation, step S11 may include steps S111 to S113: Step S111: Based on the core size parameters, the elliptical structure of the transformer is equivalently processed to obtain the equivalent circumference radius.

[0132] It should be noted that the core dimensions are the core geometric parameters that characterize the specifications of the elliptical core structure of a transformer, mainly including the major axis and minor axis dimensions of the elliptical core.

[0133] In addition, the elliptical structure is a commonly used non-circular core and coil structure in new energy transformers. This structure can increase the effective cross-sectional area of ​​the core within a limited installation space, thus meeting the compact design requirements of new energy transformers.

[0134] Additionally, the equivalent processing addresses the issue that elliptical structures cannot be adapted to conventional two-dimensional axisymmetric magnetic field calculations, and involves a circular equivalent transformation of the elliptical structure.

[0135] Furthermore, the equivalent circular radius is the equivalent circular radius obtained by averaging the major and minor axes of the elliptical iron core, and it is a core geometric parameter for subsequent magnetic field calculations. This parameter ensures that the calculated equivalent magnetic field matches the actual short-circuit test results of the transformer, avoiding deviations in the calculation results.

[0136] In this embodiment, the major and minor axes of the elliptical iron core are extracted, and their average value is taken as the equivalent circumference radius for subsequent magnetic field analysis calculations.

[0137] Understandably, the major and minor axes of the elliptical core are extracted from the core size parameters, the average value of the major and minor axes is calculated, and this average value is determined as the equivalent circumference radius to complete the equivalent processing of the elliptical structure.

[0138] It should be understood that by averaging the major and minor axes, the non-circular elliptical structure is transformed into a standard circular structure that can be adapted to two-dimensional magnetic field calculations. This solves the problem that conventional two-dimensional axisymmetric models are not applicable to elliptical structures, while ensuring the matching degree between the magnetic field calculation results and the actual product working conditions.

[0139] Step S112: The transformer coil is divided radially according to the equivalent circumference radius and coil structure parameters to obtain a discrete unit set.

[0140] It should be noted that the coil structure parameters are the core parameters characterizing the geometric specifications and arrangement of the transformer coil, including the inner diameter, outer diameter, axial height, coil arrangement, conductor specifications, etc.

[0141] Additionally, the radial direction is the spatial orientation along the radius of the coil, perpendicular to the axial height direction of the coil. This direction is one of the core directions of coil deformation under short-circuit conditions in transformers, and also a core dimension for coil discretization.

[0142] Additionally, the discrete unit set is a collection of multiple independent minimum computational units obtained by dividing a continuous coil structure. Each discrete unit in the set corresponds to a fixed position of the coil, enabling fine-grained coverage of the entire coil range and serving as the basic unit for subsequent magnetic field calculations.

[0143] Understandably, the equivalent circumferential size of the coil is determined based on the equivalent circumferential radius. Combined with the coil structure parameters, the continuous coil structure is uniformly divided along the radial direction, and at the same time, it is divided along the axial direction according to each disc, resulting in multiple independent discrete units. All discrete units are then combined to form a discrete unit set.

[0144] It should be understood that by dividing the continuous coil structure into multiple refined discrete units through radial and axial bidirectional division, a complete coverage of the entire coil range is achieved, providing a standardized minimum calculation unit for subsequent magnetic field analytical calculations and ensuring the precision of the magnetic field calculations.

[0145] Step S113: Determine the equivalent calculation point of the transformer based on the center point of the discrete unit in the discrete unit set.

[0146] It should be noted that the center point of the discrete element is the central location of the discrete element's geometry. This location can completely represent the overall spatial position and magnetic field characteristics of the corresponding discrete element. Using the center point as the calculation reference ensures that the magnetic field calculation results accurately reflect the overall magnetic field situation of the corresponding discrete element, avoiding calculation errors.

[0147] In this embodiment, the center point of each small square after division, i.e., the discrete unit, is taken as the equivalent calculation point of the unit, thus completing the determination of all equivalent calculation points.

[0148] It is understandable that by traversing each discrete unit in the set of discrete units, locating the geometric center point corresponding to each discrete unit, and summing up the center points of all discrete units, the equivalent calculation point of the transformer can be determined.

[0149] It should be understood that by using the center point of the discrete unit as the equivalent calculation point, the magnetic field at each position of the coil can be accurately solved. At the same time, the complex calculation of the magnetic field of a continuous body is transformed into the analytical calculation of discrete points, which greatly simplifies the calculation process and further improves the efficiency and accuracy of magnetic field calculation.

[0150] Step S12: Determine the mirror surface to be calculated based on the core column interface, upper yoke, and lower yoke of the transformer.

[0151] It should be noted that the mirror to be calculated is the equivalent mirror used in the mirror method of magnetic field calculation to simulate the reflection effect of the magnetic field boundary, and its position corresponds exactly to the boundary of the transformer core structure. By using the mirror reflection of the mirror to be calculated, the influence of the core on the magnetic field distribution can be simulated without complex mesh generation, enabling rapid analytical calculation of the magnetic field.

[0152] In this embodiment, the boundary planes of the core column interface, the upper yoke, and the lower yoke are used as the mirror surfaces to be calculated, providing complete boundary conditions for subsequent magnetic field calculations using the mirror method.

[0153] Understandably, the boundary parameters of the core structure are extracted from the transformer design parameters, the structural boundary planes corresponding to the core column interface, the upper yoke, and the lower yoke are located, and each structural boundary plane is set as an independent mirror to be calculated, thus completing the determination of all mirrors to be calculated.

[0154] It should be understood that determining the mirror surface to be calculated based on the actual core structure boundary of the transformer ensures that the boundary conditions of the mirror method calculation are completely matched with the actual operating conditions of the transformer. At the same time, the magnetic field boundary effect of the core can be simulated without complex meshing, which greatly improves the efficiency of magnetic field calculation.

[0155] Step S13: Perform two-dimensional magnetic field distribution calculation on the equivalent calculation point based on the mirror to be calculated, and obtain the radial component and axial component of the equivalent calculation point.

[0156] It should be noted that the radial component is the component of the magnetic induction intensity along the radius of the coil, and it is a physical quantity characterizing the strength and direction of the coil's radial spatial magnetic field. After this component couples with the current in the coil, it generates a radial electromagnetic force acting on the coil, which is the fundamental parameter for subsequent calculations of the radial force on the coil.

[0157] Additionally, the axial component is the component of the magnetic induction intensity along the axial height of the coil, and it is a physical quantity characterizing the strength and direction of the axial spatial magnetic field of the coil. After coupling with the current in the coil, this component generates an axial electromagnetic force acting on the coil, which is the fundamental parameter for subsequent calculations of the axial force on the coil.

[0158] In this embodiment, a single meshless encryption process is performed based on the determined mirror surface to be calculated, and the magnetic induction intensity radial and axial components of each equivalent calculation point are output after superposition.

[0159] Understandably, based on all the mirrors to be calculated, a single-image analytical calculation is performed on each equivalent calculation point, and the calculation results of the reflected magnetic field of each mirror are superimposed to obtain the radial and axial components of the magnetic induction intensity corresponding to each equivalent calculation point.

[0160] This embodiment provides an optimization method for short-circuit resistant transformers. It achieves rapid analytical calculation of two-dimensional magnetic field distribution through a single image method, abandoning the time-consuming three-dimensional finite element mesh refinement iteration, significantly shortening the magnetic field calculation cycle, and accurately solving for the two components of magnetic induction intensity, providing accurate and reliable basic data for subsequent electromagnetic force calculation.

[0161] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the optimization method of the short-circuit transformer of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0162] This application also provides an optimized device for short-circuit resistant transformers, please refer to... Figure 5 The optimized device for short-circuit withstand transformers includes: The magnetic field distribution calculation module 10 is used to perform two-dimensional magnetic field distribution calculation based on transformer design parameters to obtain the magnetic induction intensity components of the equivalent calculation point. The electromagnetic force distribution calculation module 20 is also used to calculate the electromagnetic force distribution based on the magnetic induction intensity components, and obtain the radial linear force load and axial force distribution; The iterative optimization module 30 is used to iteratively optimize the radial instability position based on the radial linear force load to obtain a set of instability positions. The structural optimization module 40 is used to optimize the structure based on the set of instability locations and the axial force distribution to generate the target transformer.

[0163] The short-circuit transformer optimization device provided in this application, employing the short-circuit transformer optimization method described in the above embodiments, can solve the technical problem of efficiently and accurately analyzing and locating the stress distribution and structural weak points of elliptical structure transformers under short-circuit impact conditions. Compared with the prior art, the beneficial effects of the short-circuit transformer optimization device provided in this application are the same as those of the short-circuit transformer optimization method provided in the above embodiments, and other technical features in the short-circuit transformer optimization device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0164] In one embodiment, the iterative optimization module 30 is further configured to determine the target bending moment location based on the radial linear force load; Determine whether the target bending moment location is located at the endpoint of the finite element model; When the target bending moment position is not located at the endpoint, iterative optimization is performed based on the target bending moment position, and the target bending moment position is added to the set of instability positions. Then, the step of determining the target bending moment position based on the radial linear force load is returned until the target bending moment position is located at the endpoint, thus obtaining the set of instability positions.

[0165] In one embodiment, the iterative optimization module 30 is further configured to apply radial linear force loads under the initial constraint conditions of the finite element model to obtain the target constraint conditions; Calculate the bending moment distribution of the transformer under the target constraints; The location of the target bending moment is determined based on the bending moment distribution.

[0166] In one embodiment, the magnetic induction intensity component includes a radial component and an axial component; the magnetic field distribution calculation module 10 is also used to determine the equivalent calculation point of the transformer based on the transformer design parameters; The mirror surface to be calculated is determined based on the core column interface, upper yoke, and lower yoke of the transformer. The two-dimensional magnetic field distribution of the equivalent calculation point is calculated based on the mirror to be calculated, and the radial and axial components of the equivalent calculation point are obtained.

[0167] In one embodiment, the transformer design parameters include core size parameters and coil structure parameters; the magnetic field distribution calculation module 10 is also used to perform equivalent processing on the elliptical structure of the transformer based on the core size parameters to obtain the equivalent circumference radius; The transformer coil is divided radially based on the equivalent circumference radius and coil structure parameters to obtain a set of discrete units; The equivalent calculation point of the transformer is determined by the center point of the discrete element in the discrete element set.

[0168] In one embodiment, the electromagnetic force distribution calculation module 20 is also used to calculate the radial force at the equivalent calculation point based on the radial component of the magnetic induction intensity component and the current parameter. Generate radial linear force load based on radial force; The axial force and axial direction of the axial force at the equivalent calculation point are calculated based on the axial component of the magnetic induction intensity component and the current parameters. The axial force is classified and cumulatively distributed according to its axial direction to obtain the axial force distribution.

[0169] In one embodiment, the structure optimization module 40 is further configured to obtain a preset quantity threshold and determine the number of unstable locations based on the set of unstable locations; When the number of unstable locations is less than or equal to a preset threshold, a temperature rise optimized coil is obtained by performing local reinforcement based on the set of unstable locations. Based on the axial force distribution, the high-voltage coil is axially segmented and the voltage regulating section is symmetrically arranged to obtain a coil with optimized structure. The transformer structure is optimized based on the temperature rise optimization coil and the structure optimization coil to complete the optimization of the short-circuit resistant transformer.

[0170] This application provides an optimization device for a short-circuit-resistant transformer. The optimization device for a short-circuit-resistant transformer includes: 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 execute the optimization method for the short-circuit-resistant transformer in the first embodiment described above.

[0171] The following is for reference. Figure 6 This document illustrates a structural schematic diagram of an optimized device suitable for implementing the short-circuit-resistant transformer embodiments of this application. The optimized device for the short-circuit-resistant transformer in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The optimized device for short-circuit protection transformer shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0172] like Figure 6As shown, the optimization device for the short-circuit-resistant transformer may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, 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 optimization device for the short-circuit-resistant transformer. The processing unit 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, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the optimized device for short-circuit protection transformers to communicate wirelessly or wiredly with other devices to exchange data. Although optimized devices for short-circuit protection transformers with various systems are shown in the figures, 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.

[0173] 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.

[0174] The optimization device for short-circuit-resistant transformers provided in this application, employing the optimization method for short-circuit-resistant transformers in the above embodiments, can solve the technical problem of efficiently and accurately analyzing and locating the stress distribution and structural weak points of elliptical structure transformers under short-circuit impact conditions. Compared with the prior art, the beneficial effects of the optimization device for short-circuit-resistant transformers provided in this application are the same as those of the optimization method for short-circuit-resistant transformers provided in the above embodiments, and other technical features in the optimization device for short-circuit-resistant transformers are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

[0175] 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.

[0176] 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.

[0177] 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 optimization method for the short-circuit-resistant transformer in the above embodiments.

[0178] 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), Erasable Programmable Read Only Memory (EPROM), 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.

[0179] The aforementioned computer-readable storage medium may be included in the optimization device for the short-circuit transformer; or it may exist independently and not assembled into the optimization device for the short-circuit transformer.

[0180] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the optimization device for the short-circuit-resistant transformer, the optimization device performs the following: calculates the two-dimensional magnetic field distribution based on the transformer design parameters to obtain the magnetic induction intensity components at the equivalent calculation points; calculates the electromagnetic force distribution based on the magnetic induction intensity components to obtain the radial linear load and axial force distribution; iteratively optimizes the radial instability position based on the radial linear load to obtain the set of instability positions; and optimizes the transformer structure based on the set of instability positions and the axial force distribution to complete the optimization of the short-circuit-resistant transformer.

[0181] 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).

[0182] 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.

[0183] 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.

[0184] 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 optimization method for short-circuit-resistant transformers. This solves the technical problem of efficiently and accurately analyzing and locating the stress distribution and structural weak points of elliptical transformers under short-circuit impact conditions. 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 optimization method for short-circuit-resistant transformers provided in the above embodiments, and will not be elaborated upon here.

[0185] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the optimization method for short-circuit transformers as described above.

[0186] The computer program product provided in this application can solve the technical problem of efficiently and accurately analyzing and locating the stress distribution and structural weak points of elliptical transformers under short-circuit impact conditions. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the optimization method for short-circuit-resistant transformers provided in the above embodiments, and will not be repeated here.

[0187] 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. An optimization method for a short-circuit resistant transformer, characterized in that, The method includes: Two-dimensional magnetic field distribution calculations are performed based on transformer design parameters to obtain the magnetic induction intensity components at the equivalent calculation points. The electromagnetic force distribution is calculated based on the magnetic induction intensity components to obtain the radial linear force load and axial force distribution. Based on the radial linear force load, the radial instability position is iteratively optimized to obtain the set of instability positions; Based on the set of instability locations and the axial force distribution, the structure of the transformer is optimized to complete the optimization of the short-circuit resistant transformer.

2. The method as described in claim 1, characterized in that, The step of iteratively optimizing the radial instability position based on the radial linear force load to obtain the set of instability positions includes: The target bending moment location is determined based on the radial linear force load. Determine whether the target bending moment location is located at the end point of the finite element model; When the target bending moment position is not located at the endpoint position, iterative optimization is performed based on the target bending moment position, and the target bending moment position is added to the set of instability positions. Then, the step of determining the target bending moment position based on the radial linear force load is returned until the target bending moment position is located at the endpoint position, thus obtaining the set of instability positions.

3. The method as described in claim 2, characterized in that, The step of determining the target bending moment location based on the radial linear force load includes: The radial linear force load is applied under the initial constraint conditions of the finite element model to obtain the target constraint conditions; Calculate the bending moment distribution of the transformer under the stated target constraints; The target bending moment location is determined based on the bending moment distribution.

4. The method as described in claim 1, characterized in that, The magnetic induction intensity components include radial and axial components; The step of calculating the two-dimensional magnetic field distribution based on the transformer design parameters to obtain the magnetic induction intensity components at the equivalent calculation point includes: The equivalent calculation point of the transformer is determined based on the transformer design parameters. The mirror surface to be calculated is determined based on the core column interface, upper yoke, and lower yoke of the transformer. The two-dimensional magnetic field distribution of the equivalent calculation point is calculated based on the mirror to be calculated, and the radial component and axial component of the equivalent calculation point are obtained.

5. The method as described in claim 4, characterized in that, The transformer design parameters include core size parameters and coil structure parameters; The step of determining the equivalent calculation point of the transformer based on the transformer design parameters includes: The elliptical structure of the transformer is equivalently processed based on the core size parameters to obtain the equivalent circumference radius; The transformer coil is divided radially according to the equivalent circumference radius and the coil structure parameters to obtain a discrete unit set; The equivalent calculation point of the transformer is determined by the center point of the discrete element in the discrete element set.

6. The method as described in claim 1, characterized in that, The step of calculating the electromagnetic force distribution based on the magnetic induction intensity components to obtain the radial linear load and axial force distribution includes: The radial force at the equivalent calculation point is calculated based on the radial component of the magnetic induction intensity component and the current parameters. A radial linear force load is generated based on the radial force; The axial force at the equivalent calculation point and the axial direction of the axial force are calculated based on the axial component of the magnetic induction intensity component and the current parameter. The axial force is classified and cumulatively distributed according to the axial direction to obtain the axial force distribution.

7. The method as described in claim 1, characterized in that, The step of optimizing the transformer structure based on the set of instability locations and the axial force distribution to complete the optimization of the short-circuit withstand transformer includes: Obtain a preset quantity threshold, and determine the number of unstable locations based on the set of unstable locations; When the number of unstable locations is less than or equal to the preset threshold, a temperature rise optimized coil is obtained by performing local reinforcement processing based on the set of unstable locations. Based on the axial force distribution, the high-voltage coil is axially segmented and the voltage regulating section is symmetrically arranged to obtain a structurally optimized coil. The transformer structure is optimized based on the temperature rise optimization coil and the structure optimization coil to complete the optimization of the short-circuit resistant transformer.

8. An optimized device for short-circuit resistant transformers, characterized in that, The device includes: The magnetic field distribution calculation module is used to perform two-dimensional magnetic field distribution calculations based on transformer design parameters, and obtain the magnetic induction intensity components of the equivalent calculation point. The electromagnetic force distribution calculation module is also used to calculate the electromagnetic force distribution based on the magnetic induction intensity components to obtain the radial linear force load and axial force distribution; The iterative optimization module is used to iteratively optimize the radial instability position based on the radial linear force load to obtain a set of instability positions. The structural optimization module is used to perform structural optimization based on the set of instability locations and the axial force distribution to generate a target transformer.

9. An optimized device for short-circuit resistant transformers, 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 optimized method for short-circuit-resistant transformers 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 optimization method for short-circuit-resistant transformers as described in any one of claims 1 to 7.

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