Structure optimization method and device of transformer iron core, computer equipment, readable storage medium and transformer

Abstract

The invention relates to a structure optimization method and device of a transformer iron core, computer equipment, a readable storage medium and a transformer. According to the method, corner cutting simulation operation can be performed on corners of a transformer iron core model based on a constructed transformer iron core model and a given transformer iron core corner cutting size, and a volume loss density can be correspondingly determined based on the transformer iron core model after the corner cutting simulation operation. And when the volume loss density is smaller than a lower limit value of a preset density range, continuing to increase the corner cut size of the transformer core until the volume loss density of the transformer core model after the corner cut simulation operation is increased to the preset density range, thereby obtaining the transformer core model with the optimal performance. And hysteresis loss and eddy-current loss of the transformer iron core are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of structural optimization of transformer cores, and in particular to a method, device, computer equipment, readable storage medium and transformer for structural optimization of transformer cores. Background Art

[0002] Transformers are core components of power systems, mainly used for voltage conversion to ensure efficient transmission and distribution of electric energy. During the operation of the transformer, losses will occur based on the iron core of the transformer, which mainly include hysteresis loss and eddy current loss. Among them, hysteresis loss is due to the need to overcome internal resistance when the magnetic domains in the iron core are rearranged as the direction of the alternating magnetic field changes, resulting in energy dissipation in the form of heat; eddy current loss is caused by the alternating magnetic field inducing circulating currents (eddy currents) in the iron core, which are converted into heat and dissipated after encountering resistance. Therefore, there is a serious problem of energy loss in traditional transformers. Summary of the invention

[0003] Based on this, it is necessary to provide a structural optimization method, device, computer equipment, readable storage medium and transformer for a transformer core that can reduce energy loss in response to the above technical problems.

[0004] In a first aspect, the present application provides a method for optimizing the structure of a transformer core, the method comprising:

[0005] Construct a transformer core model, which includes a core and windings;

[0006] A transformer core cutting angle size is given, and a cutting angle simulation operation is performed on the corner of the transformer core model with the transformer core cutting angle size. When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range;

[0007] Among them, the transformer core cutting angle size is smaller than the size of the core.

[0008] In one embodiment, the transformer core cut-off dimension includes a cut-off length.

[0009] In one embodiment, the transformer core is cut into a right triangular prism.

[0010] In one embodiment, the initial value of the cut angle length is 0.

[0011] In one embodiment, the iron core is a symmetrical structure, and the transformer iron core cut angles corresponding to the four corners of the iron core are the same in size.

[0012] In one embodiment, the step of constructing a transformer core model includes:

[0013] A transformer core model is constructed based on windings and multi-layer rectangular core sheets, wherein the windings are wound around the multi-layer rectangular core sheets.

[0014] In a second aspect, the present application also provides a structure optimization device for a transformer core, the device comprising:

[0015] A building module, used for building a transformer core model, the transformer core model includes a core and a winding;

[0016] A cutting angle simulation module is used to give a transformer core cutting angle size, and perform a cutting angle simulation operation on the corner of the transformer core model with the transformer core cutting angle size. When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range;

[0017] Among them, the transformer core cutting angle size is smaller than the size of the core.

[0018] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, any step of the above-mentioned transformer core structural optimization method is implemented.

[0019] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements any step of the above-mentioned transformer core structure optimization method when the computer program is executed by a processor.

[0020] In a fifth aspect, the present application further provides a transformer, comprising:

[0021] Iron core;

[0022] Winding, wound around the core;

[0023] The structural parameters of the iron core are determined based on the above-mentioned transformer iron core structural optimization method.

[0024] The above-mentioned transformer core structural optimization method, device, computer equipment, readable storage medium and transformer can perform angle cutting simulation operation on the angle of the transformer core model based on the constructed transformer core model and the given transformer core angle cutting size. A volume loss density can be correspondingly determined based on the transformer core model after the angle cutting simulation operation. When the volume loss density is less than the lower limit of the preset density range, the transformer core angle cutting size is continued to be increased until the volume loss density of the transformer core model after the angle cutting simulation operation increases to the preset density range, thereby obtaining the transformer core model with the best performance and reducing the hysteresis loss and eddy current loss of the transformer core. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 A diagram showing an application environment of a method for optimizing the structure of a transformer core in one embodiment;

[0027] Figure 2 A schematic flow chart of a method for optimizing the structure of a transformer core in one embodiment;

[0028] Figure 3 is a schematic diagram of magnetic field distribution of a transformer core in one embodiment;

[0029] Figure 4 A schematic diagram of the cut angle dimensions of a transformer core in one embodiment;

[0030] Figure 5 is a schematic diagram of a transformer core model in one embodiment;

[0031] Figure 6 A structural block diagram of a transformer core structure optimization device in one embodiment;

[0032] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0034] The transformer core structure optimization method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the transformer core model and the transformer core cutting angle size that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 performs a cutting angle simulation operation according to the transformer core model and the transformer core cutting angle size stored in the data storage system, and when the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range. The server 104 can also transmit the data in the cutting angle simulation operation to the terminal 102 through the communication network and display it in the terminal 102. Among them, the terminal 102 can be but not limited to various personal computers, laptops, smart phones and tablets. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0035] In an exemplary embodiment, Figure 2 As shown, a method for optimizing the structure of a transformer core is provided. Figure 1 The following is an example of a server in the example, including:

[0036] S202, constructing a transformer core model, where the transformer core model includes a core and a winding.

[0037] S204, a transformer core cutting angle size is given, and a cutting angle simulation operation is performed on the corner of the transformer core model with the transformer core cutting angle size. When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range.

[0038] Among them, the transformer core cutting angle size is smaller than the size of the core.

[0039] like Figure 3 As shown, T is the magnetic flux density, and the Figure 3It can be seen that the magnetic flux density is the smallest at the four corners of the transformer core. Therefore, the magnetic field distribution of the transformer core can be improved by simulating the corner cutting of the transformer core model with the transformer core corner cutting size, thereby reducing the low magnetic flux density area at the corners of the transformer core, improving the magnetic field distribution in the transformer core, shortening the magnetic path length, and reducing the hysteresis loss and eddy current loss of the transformer core, thereby improving the performance of the transformer core.

[0040] For example, the transformer core cutting angle size is as follows: Figure 4 As shown, Figure 4 The 402 area in the figure is the size of the transformer core cut angle. Correspondingly, the following can be done on the four corners of the transformer core: Figure 4 Therefore, according to the constructed transformer core model and based on the transformer core cutting angle size, a cutting angle simulation operation can be performed on at least one corner of the transformer core.

[0041] Since the structure of the transformer core has changed after the corner cutting simulation operation, the volume loss density of the transformer core has also changed accordingly. Since the electromagnetic loss of the transformer core is the total energy loss of the entire transformer core under the action of the electromagnetic field, and the volume loss density can reflect the energy loss per unit volume of the transformer core; therefore, compared with the electromagnetic loss of the transformer core, the volume loss density can more accurately determine the performance of the transformer core. Moreover, the volume loss density of the transformer core model can be calculated based on the electromagnetic loss of the transformer core and the current volume of the transformer core model.

[0042] Specifically, the electromagnetic loss of the transformer core can be calculated based on the Steinmetz model:

[0043]

[0044] Where Q is the power loss (in watts), k h is the loss factor of the transformer core material (unit: W / kg·T²), f is the frequency (unit: Hz), B is the magnetic flux density (unit: Tesla), α and β are both empirical parameters and can be determined based on historical experience. For example, α can be 1 and β can be 2.

[0045] When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit of the preset density range, it can be considered that the hysteresis loss and eddy current loss of the transformer core are still at a high level. Therefore, the transformer core cutting angle size is continued to be increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range, so as to reduce the hysteresis loss and eddy current loss of the transformer core to a reasonable and reliable range. Exemplarily, the above preset density range can be 1%~3%, that is, when the value of the volume loss density of the transformer core model is within the range of 1%~3%, it can be considered that the performance of the transformer core model at this time is optimal.

[0046] Therefore, the above-mentioned structural optimization method of the transformer core can perform an angle cutting simulation operation on the angle of the transformer core model based on the constructed transformer core model and the given transformer core cutting angle size. A volume loss density can be correspondingly determined based on the transformer core model after the angle cutting simulation operation. When the volume loss density is less than the lower limit of the preset density range, the transformer core cutting angle size is continued to be increased until the volume loss density of the transformer core model after the angle cutting simulation operation increases to the preset density range, thereby obtaining the transformer core model with the best performance and reducing the hysteresis loss and eddy current loss of the transformer core.

[0047] In an exemplary embodiment, the transformer core cutaway dimension includes a cutaway length.

[0048] like Figure 5 As shown, Figure 5 The L in the equation is the cut angle length, and the cut angle size of a transformer core in the shape of a triangular prism can be determined according to the cut angle length. The triangle on the upper base of the triangular prism can be any right triangle, and correspondingly, the triangle on the lower base can also be any right triangle. It should be noted that the waist lengths of the triangles on the upper base and the triangles on the lower base are both less than the side length of the transformer core model.

[0049] In an exemplary embodiment, the transformer core is cut into a right triangular prism.

[0050] The straight triangular prism can make the magnetic field on the transformer core model symmetrically distributed, and the volume of the straight triangular prism is easy to calculate, which makes it simpler in the subsequent calculation of the volume loss density of the transformer core model.

[0051] In an exemplary embodiment, the initial value of the cut angle length is 0.

[0052] Selecting the cut angle length from 0 can prevent the volume loss density of the transformer core model from missing the optimal solution. Furthermore, gradually increasing the cut angle length from 0 can prevent the transformer core model from performing multiple useless calculations outside the value range of the optimal solution, taking into account the calculation simplicity and calculation logic of the structural optimization method of the transformer core.

[0053] In an exemplary embodiment, the iron core has a symmetrical structure, and the transformer iron core cut angles corresponding to the four corners of the iron core are the same in size.

[0054] The four corners of the transformer core are subjected to a cutting simulation operation with the same transformer core cutting angle size to obtain a symmetrical transformer core model, so that the magnetic field is symmetrically distributed in the transformer core model.

[0055] In an exemplary embodiment, the step of constructing a transformer core model includes:

[0056] A transformer core model is constructed based on windings and multi-layer rectangular core sheets, wherein the windings are wound around the multi-layer rectangular core sheets.

[0057] like Figure 5 As shown, multiple layers of rectangular iron sheets are stacked to form a transformer core, and windings are evenly distributed around the multiple layers of rectangular iron sheets, thereby forming a transformer core model.

[0058] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0059] Based on the same inventive concept, the embodiment of the present application also provides a transformer core structure optimization device for implementing the transformer core structure optimization method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more transformer core structure optimization devices provided below can refer to the limitations of the transformer core structure optimization method above, and will not be repeated here.

[0060] In an exemplary embodiment, Figure 6As shown, a transformer core structure optimization device 600 is provided, including: a construction module 602 and a cutting angle simulation module 604.

[0061] The construction module 602 is used to construct a transformer core model, which includes a core and a winding.

[0062] The cutting angle simulation module 604 is used to give a transformer core cutting angle size, and perform a cutting angle simulation operation on the corner of the transformer core model with the transformer core cutting angle size. When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range.

[0063] Among them, the transformer core cutting angle size is smaller than the size of the core.

[0064] In an exemplary embodiment, the transformer core cutaway dimension includes a cutaway length.

[0065] In an exemplary embodiment, the transformer core is cut into a right triangular prism.

[0066] In an exemplary embodiment, the initial value of the cut angle length is 0.

[0067] In an exemplary embodiment, the iron core has a symmetrical structure, and the transformer iron core cut angles corresponding to the four corners of the iron core are the same in size.

[0068] In an exemplary embodiment, the construction module includes: a construction sub-module.

[0069] The construction submodule is used to construct a transformer core model based on windings and multi-layer rectangular iron core sheets; wherein the windings are wound around the multi-layer rectangular iron core sheets.

[0070] Each module in the above-mentioned transformer core structure optimization device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0071] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store a preset transformer core model and a transformer core cutting angle size. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for optimizing the structure of a transformer core is implemented.

[0072] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0073] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor executes the steps of any one of the above-mentioned methods for optimizing the structure of a transformer core.

[0074] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any method of the above-mentioned transformer core structure optimization method are implemented.

[0075] In one embodiment, a transformer is provided, including: an iron core and a winding.

[0076] Among them, the winding is wound on the iron core;

[0077] The structural parameters of the core are determined based on the above-mentioned transformer core structural optimization method.

[0078] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of any one of the above-mentioned methods for optimizing the structure of a transformer core when executed by a processor.

[0079] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0080] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0081] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for optimizing the structure of a transformer core, characterized in that: The method comprises: Constructing a transformer core model, wherein the transformer core model includes a core and a winding; A transformer core cutting angle size is given, and a cutting angle simulation operation is performed on the corner of the transformer core model with the transformer core cutting angle size. When the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, the transformer core cutting angle size is increased until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range; Wherein, the cut angle size of the transformer core is smaller than the size of the core.

2. The method according to claim 1, characterized in that The transformer core cut-angle dimension includes the cut-angle length.

3. The method according to claim 2, characterized in that The transformer core has a cutting angle of a right triangular prism.

4. The method according to claim 2, characterized in that: The initial value of the cut angle length is 0.

5. The method according to claim 1, characterized in that: The iron core is a symmetrical structure, and the transformer iron core cut angle sizes corresponding to the four corners of the iron core are the same.

6. The method according to claim 1, characterized in that The steps of constructing the transformer core model include: The transformer core model is constructed based on the winding and the multi-layer rectangular iron core sheet; wherein the winding is wound around the multi-layer rectangular iron core sheet.

7. A structure optimization device for a transformer core, characterized in that: The device comprises: A construction module, used to construct a transformer core model, wherein the transformer core model includes a core and a winding; A cutting angle simulation module, used for giving a transformer core cutting angle size, and performing a cutting angle simulation operation on the corner of the transformer core model with the transformer core cutting angle size, and when the volume loss density of the transformer core model after the cutting angle simulation operation is less than the lower limit value of the preset density range, increasing the transformer core cutting angle size until the volume loss density of the transformer core model after the cutting angle simulation operation increases to the preset density range; Wherein, the cut angle size of the transformer core is smaller than the size of the core.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A transformer, characterized in that: include: Iron core; A winding wound on the iron core; Wherein, the structural parameters of the core are determined based on the structural optimization method of the transformer core according to any one of claims 1-6.

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