Method for deducing evolution rule of characteristic point field of transformer and related equipment

Abstract

The invention discloses a transformer characteristic point field evolution rule deduction method and related equipment, and belongs to the technical field of power transformers. The method comprises the following steps: inputting heat loss of an iron core and a winding in normal operation of the transformer into a magnetic-thermal-fluid-solid coupled thermal simulation calculation model of the transformer to obtain temperature field distribution and velocity field distribution in normal operation of the transformer; presetting a self-defined transformer oil way blockage area and a resistance source item, and loading the self-defined transformer oil way blockage area and the resistance source item into a transformer magnetic-thermal-fluid-solid coupled thermal simulation calculation model to obtain temperature field distribution and velocity field distribution under the transformer blockage fault working condition; based on temperature field distribution and velocity field distribution during normal operation of the transformer and under a blocking condition, after temperature monitoring feature points and oil flow velocity monitoring feature points are extracted, a transformer feature point field evolution rule is obtained through analysis. According to the invention, the problem that real-time blockage fault monitoring and early warning cannot be carried out on the transformer in the prior art can be solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power transformers, and particularly relates to a method for deducing the evolution law of the field of characteristic points of a transformer and related equipment. Background Art

[0002] With the continuous development and upgrading of the power system, as the core equipment for power transmission and transformation, the stability and reliability of transformers are crucial for ensuring the safe operation of the power grid. However, during actual operation, transformers may encounter various faults, among which the blockage fault is particularly prominent and harmful. Such faults often result in the obstruction of the transformer oil circulation path, leading to the accumulation of local heat that cannot be effectively dissipated, thereby causing a sharp rise in the hot spot temperature of the transformer, resulting in overheating. In severe cases, it may even cause fires or equipment damage.

[0003] Traditional transformer fault detection and diagnosis mainly rely on regular maintenance inspections and experience judgment. This method is difficult to achieve real-time monitoring of the equipment status, and there is a lag in the discovery of potential risks. Especially when encountering sudden blockage faults, traditional methods often cannot provide timely and effective warnings, greatly increasing the operation risks of the power system. Currently, with the rapid progress of computer technology, fault prediction and diagnosis technologies based on physical models have gradually emerged. However, the current research on blockage faults is not deep and systematic enough, lacking a method that can accurately deduce the variation laws of the temperature field and velocity field of transformers under such fault conditions to monitor and warn of blockage faults in transformers in real time. Therefore, there is an urgent need to develop a systematic deduction method for blockage faults to achieve real-time monitoring of transformer status and fault warning, and ensure the safe and stable operation of the power system. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for deducing the evolution law of the field of characteristic points of a transformer and related equipment to solve the problem that the existing technology cannot perform real-time blockage fault monitoring and warning on transformers.

[0005] To achieve the above object, the present invention adopts the following technical solutions: In the first aspect, a method for deducing the evolution law of the field of characteristic points of a transformer includes the following steps: Based on the transformer loss, calculate a two-dimensional rotation model to obtain the heat losses of the iron core and winding during normal operation of the transformer; Input the heat losses of the iron core and winding during normal operation of the transformer into the thermal simulation calculation model of the magnetic-thermal-fluid-solid coupling of the transformer. When the temperature field distribution of the transformer and the transformer oil flow velocity field distribution reach dynamic equilibrium, obtain the temperature field distribution and velocity field distribution during normal operation of the transformer; Preset the blocked areas of the custom transformer oil circuit and the resistance source terms, and load them into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling to obtain the temperature field distribution and velocity field distribution under the blocked fault condition of the transformer; Based on the temperature field distribution and velocity field distribution of the transformer during normal operation, and the temperature field distribution and velocity field distribution under the blocked condition of the transformer, after extracting the temperature monitoring characteristic points and oil flow velocity monitoring characteristic points, analyze and obtain the evolution law of the characteristic point field of the transformer.

[0006] In some embodiments, the two-dimensional rotation model for calculating the transformer losses is constructed through the following steps: Ignore the components inside the transformer that impede the oil flow, and take the core central axis as the rotation symmetry axis, then construct a two-dimensional rotation symmetric model between the core and the winding, that is, the two-dimensional rotation model for calculating the transformer losses.

[0007] In some embodiments, the step of inputting the thermal losses of the core and winding of the transformer during normal operation into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling specifically includes: Based on the two-dimensional rotation model for calculating the transformer losses, obtain the core thermal loss distribution and winding thermal loss distribution of the transformer through electromagnetic simulation. After converting the core thermal loss distribution and winding thermal loss distribution into volume heat source power, input them into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling.

[0008] In some embodiments, the temperature field distribution and velocity field distribution of the transformer during normal operation are obtained through the following steps: Input the volume heat source power into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling, and based on the transformer field control equation, calculate the temperature field distribution and velocity field distribution of the transformer during normal operation through the finite volume method in the COUPLED format; The thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling is based on the strong coupling between the solid domain temperature field distribution and the fluid domain temperature field distribution, performs grid encryption at the fluid-solid interface of the transformer, and presets the transformer working environment, operating conditions, load ratio, and material physical properties.

[0009] In some embodiments, the step of presetting the blocked areas of the custom transformer oil circuit and the resistance source terms, and loading them into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling to obtain the temperature field distribution and velocity field distribution under the blocked fault condition of the transformer specifically includes: Take the core central axis as the Y-axis and the straight line where the bottom of the core is located as the X-axis to establish a two-dimensional coordinate system for the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling; The preset blocked area is a matrix. After inputting the position coordinates of two points on the diagonal of the rectangle, the blocked area of the transformer oil duct is marked in the form of a dynamic link library; The blocked area of the transformer oil duct is set as a porous medium. After the resistance is set to be isotropic, the resistance source term of the blocked area is calculated. The resistance source term of the blocked area includes viscous resistance and inertial resistance; The blocked area and its resistance source term are loaded into the thermal simulation calculation model of the transformer magneto-thermal-fluid-solid coupling in the form of a dynamic link library to obtain the temperature field distribution and velocity field distribution under the blocked fault condition of the transformer.

[0010] In some embodiments, the step of extracting temperature monitoring feature points and oil flow velocity monitoring feature points based on the temperature field distribution and velocity field distribution during the normal operation of the transformer, and the temperature field distribution and velocity field distribution under the blocked condition of the transformer, and then analyzing to obtain the evolution law of the transformer feature point field specifically includes: Calculate the temperature difference at the same position between the temperature field distribution during the normal operation of the transformer and the temperature field distribution under the blocked condition of the transformer; Calculate the velocity difference at the same position between the velocity field distribution during the normal operation of the transformer and the velocity field distribution under the blocked condition of the transformer; Respectively screen the calculation points at the positions with the largest velocity difference and temperature difference as the oil flow velocity monitoring feature point and the temperature monitoring feature point; Based on the oil flow velocity monitoring feature point and the temperature monitoring feature point, establish a mapping relationship between the blocked area, the degree of blockage and the feature point field, and extract the evolution law of the transformer feature point field based on the mapping relationship.

[0011] In a second aspect, a deduction system for the evolution law of the transformer feature point field is characterized by including: A heat loss calculation module for obtaining the heat losses of the iron core and winding during the normal operation of the transformer based on a two-dimensional rotation model for calculating transformer losses; A normal field distribution simulation module for inputting the heat losses of the iron core and winding during the normal operation of the transformer into the thermal simulation calculation model of the transformer magneto-thermal-fluid-solid coupling, and obtaining the temperature field distribution and velocity field distribution during the normal operation of the transformer when the temperature field distribution of the transformer and the oil flow velocity field distribution of the transformer are in dynamic equilibrium; A blocked fault field distribution simulation module for presetting a custom blocked area and resistance source term of the transformer oil circuit and loading them into the thermal simulation calculation model of the transformer magneto-thermal-fluid-solid coupling to obtain the temperature field distribution and velocity field distribution under the blocked fault condition of the transformer; The feature point monitoring and field evolution law analysis module is used to analyze and obtain the field evolution law of transformer feature points after extracting temperature monitoring feature points and oil flow velocity monitoring feature points based on the temperature field distribution and velocity field distribution during the normal operation of the transformer, as well as the temperature field distribution and velocity field distribution under the blocked condition of the transformer.

[0012] In a third aspect, an electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for deducing the field evolution law of transformer feature points are implemented.

[0013] In a fourth aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for deducing the field evolution law of transformer feature points are implemented.

[0014] In a fifth aspect, a computer program product includes a computer program, and is characterized in that when the computer program is executed by a processor, the steps of the method for deducing the field evolution law of transformer feature points are implemented.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By constructing a two-dimensional rotation model for transformer loss calculation and a thermal simulation calculation model of magneto-thermal-fluid-solid coupling, the present invention can accurately simulate the temperature field and velocity field distributions under the normal operation and blocked fault conditions of the transformer, analyze the field evolution law of feature points, timely detect potential blocked faults of the transformer, improve the accuracy and efficiency of transformer fault blockage diagnosis, provide a scientific basis for operation and maintenance, thereby improving the operation safety and reliability of the transformer, and solving the problem that the prior art cannot perform real-time blocked fault monitoring and early warning on the transformer.

[0016] Furthermore, by calculating the temperature difference and velocity difference under the normal operation and blocked conditions and screening the positions with the largest differences as the oil flow velocity monitoring feature points and temperature monitoring feature points, the present invention can accurately locate the position of the transformer blocked fault. Description of the Drawings

[0017] Figure 1 It is a specific flow chart of the method for deducing the field evolution law of transformer feature points based on the blocked fault condition provided in this embodiment; Figure 2 It is a two-dimensional rotation symmetry model diagram of the power transformer in this embodiment; Figure 3 It is a simulation calculation flow chart of the normal operation of the power transformer in this embodiment; Figure 4The temperature field distribution when the power transformer in this embodiment operates normally and reaches stability; Figure 5 The temperature field distribution when the power transformer in this embodiment reaches stability under the condition of a blockage fault; Figure 6 The flowchart of a method for deducing the evolution law of the characteristic point field of a transformer provided by the present invention; Figure 7 The structural diagram of a system for deducing the evolution law of the characteristic point field of a transformer provided by this embodiment. Detailed implementation manners

[0018] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings. The content described is an explanation of the present invention rather than a limitation.

[0019] It should be noted that the terms "including" and "having" in the description and claims of the present invention and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or are inherent to these processes, methods, systems, products or devices.

[0020] As Figure 1 and Figure 6 shown, this embodiment provides a method for deducing the evolution law of the characteristic point field of a transformer, including the following steps: S1. The three-phase transformer winding has good rotational symmetry in structure, and the temperature field and velocity field of the transformer change little in the circumferential direction of the winding. Therefore, a two-dimensional rotational symmetry model of the three-phase transformer is established. The two-dimensional rotational symmetry model of the transformer is as Figure 2 shown; Specifically, other components that impede the oil flow, such as the yoke, pressing plate, and fixture inside the transformer, are ignored. Taking the central axis of the iron core as the rotational symmetry axis, a two-dimensional rotational symmetry model of the iron core and winding is constructed.

[0021] S2. Perform a steady-state magnetic field calculation on the two-dimensional rotational symmetry model of the three-phase transformer to obtain the thermal loss distributions of the high, medium, and low-voltage windings and the thermal loss distribution of the iron core. At the same time, read the volume of the corresponding unit, and convert the loss data of each unit into the corresponding volume heat source power as the heat source input for subsequent normal simulation and blockage fault simulation.

[0022] S3. Build a thermal simulation calculation model for the magnetic-thermal-fluid-solid coupling of a three-phase transformer, and take measures to encrypt the grid at the fluid-solid interface. Input the above losses as the heat source for the analysis of the temperature field and velocity field into the thermal simulation calculation model for the magnetic-thermal-fluid-solid coupling of the three-phase transformer. The temperature field distribution of the transformer is affected by the oil flow of the transformer, and the velocity field distribution of the transformer oil flow is in turn affected by the temperature. The two are coupled with each other. When dynamic equilibrium is reached, stop the calculation to obtain the temperature field distribution during the normal operation of the three-phase transformer. The process is as Figure 3 shown, and the temperature distribution nephogram is as Figure 4 shown.

[0023] Specifically, input the volume heat source power into the thermal simulation calculation model for the magnetic-thermal-fluid-solid coupling of the transformer, and based on the field control equation of the transformer, calculate the temperature field distribution and velocity field distribution during the normal operation of the transformer by the finite volume method in the COUPLED format; The thermal simulation calculation model for the magnetic-thermal-fluid-solid coupling of the transformer is based on the strong coupling between the temperature field distribution in the solid domain and the temperature field distribution in the fluid domain. Mesh encryption is carried out at the fluid-solid interface of the transformer, and the working environment, operating conditions, load ratio and material physical properties of the transformer are preset.

[0024] The main physical property parameters of the three-phase transformer oil are shown in Table 1: Table 1 Physical Property Parameters of Three-Phase Transformer Oil

[0025] S4. Preset the custom blocked area of the transformer oil circuit and the resistance source term, and load them into the thermal simulation calculation model for the magnetic-thermal-fluid-solid coupling of the transformer to obtain the temperature field distribution and velocity field distribution under the blocked fault condition of the transformer; The main physical property parameters of the three-phase transformer oil are shown in Table 1: S4.1. Taking the rotation axis as the Y-axis and the straight line where the bottom of the iron core is located as the X-axis, establish a two-dimensional coordinate system for the thermal simulation calculation model of the magnetic-thermal-fluid-solid coupling of the three-phase transformer; S4.2. Set the blocked area as a rectangle, input the position coordinates of two points on the diagonal of the rectangle as (0.1348, 0.4370) and (0.1485, 0.4443) respectively, and mark the blocked area of the transformer oil duct in the form of a dynamic link library; S4.3. Set the blocked area as a porous medium. The resistance source term includes viscous resistance and inertial resistance. The resistance is set to be isotropic, and the corresponding coefficients are the viscous resistance coefficient and the inertial resistance coefficient. The calculation formulas are as follows:

[0026]

[0027]

[0028]

[0029]

[0030] In the formula S u and S v are the resistance source terms in the x and y directions respectively D u and D v 、 C u and C v are the viscous resistance coefficient and the inertial resistance coefficient respectively D p is the equivalent diameter of the porous medium, a and b are empirical coefficients, and ε is the porosity V pore is the void volume V total is the total volume of the porous region Among them, the reference values of the empirical coefficients a and b are set to 140 - 160 and 3 - 4 respectively, and the reference value of the porosity ε is set to 0.3 - 0.8 D p The reference value of the equivalent diameter is set to 0.5 - 3 mm In S4.4, a takes 150, b takes 3.5, ε takes 0.5 D p takes 1 mm, and the resistance source term of the blocked area is calculated according to the above formula In S4.5, the blocked area and the resistance source term of the blocked area are loaded into the thermal simulation calculation model of the magnetic - thermal - fluid - solid coupling of the three - phase transformer in the form of a dynamic link library, and the temperature field distribution of the transformer under the blocked fault condition is obtained as Figure 5 shown

[0031] S5, conduct a comparative analysis Figure 4 、 Figure 5 , calculate the temperature difference at the same position between the temperature field distribution of the transformer during normal operation and the temperature field distribution of the transformer under the blocked condition, and calculate the velocity difference at the same position between the velocity field distribution of the transformer during normal operation and the velocity field distribution of the transformer under the blocked condition; then respectively screen the calculation points at the positions with the largest velocity difference and temperature difference as the oil flow velocity monitoring characteristic points and temperature monitoring characteristic points; establish the mapping relationship between the blocked area, the degree of blockage and the characteristic point field based on the oil flow velocity monitoring characteristic points and temperature monitoring characteristic points, and extract the evolution law of the transformer characteristic point field based on the mapping relationship

[0032] As Figure 7 shown, this embodiment also provides a deduction system for the evolution law of the characteristic point field of a transformer, including: A heat loss calculation module, configured to calculate a two-dimensional rotation model based on the transformer loss to obtain the heat losses of the iron core and winding during normal operation of the transformer; A normal field distribution simulation module, configured to input the heat losses of the iron core and winding during normal operation of the transformer into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling. When the temperature field distribution and the oil flow velocity field distribution of the transformer are in dynamic equilibrium, obtain the temperature field distribution and the velocity field distribution during normal operation of the transformer; A blocked fault field distribution simulation module, configured to preset a custom blocked area of the transformer oil circuit and a resistance source term, and load them into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling to obtain the temperature field distribution and the velocity field distribution under the blocked fault condition of the transformer; A characteristic point monitoring and field evolution law analysis module, configured to analyze and obtain the evolution law of the transformer characteristic point field after extracting temperature monitoring characteristic points and oil flow velocity monitoring characteristic points based on the temperature field distribution and the velocity field distribution during normal operation of the transformer, and the temperature field distribution and the velocity field distribution under the blocked condition of the transformer.

[0033] The division of modules in the embodiments of the present invention is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present invention, each functional module may be integrated in a processor, or may exist alone physically, or two or more modules may be integrated in one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0034] In this embodiment, a computer device is further provided. The computer device includes a processor and a memory. The memory is used to store a computer program (in this embodiment, the computer program includes a calculation component and an iteration component, and can perform model calculation and model update). The computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for the operation of a method for deducing the evolution law of the characteristic point field of a transformer.

[0035] This embodiment also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in the computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the method for deducing the evolution law of the characteristic point field of a transformer in the above embodiment.

[0036] This embodiment also provides a computer program product. The computer program product includes a computer program. When the computer program is executed by the processor, the corresponding steps of the method for deducing the evolution law of the characteristic point field of a transformer in the above embodiment are implemented.

[0037] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0038] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0039] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0040] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: it is still possible to modify the specific implementation manners of the present invention or make equivalent substitutions, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A method for deducing the evolution law of the characteristic point field of a transformer, characterized in that, It includes the following steps: Based on the two-dimensional rotation model for transformer loss calculation, obtain the core and winding thermal losses during normal operation of the transformer; Input the core and winding thermal losses during normal operation of the transformer into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling. When the temperature field distribution and the oil flow velocity field distribution of the transformer are in dynamic equilibrium, obtain the temperature field distribution and the velocity field distribution during normal operation of the transformer; Preset the custom transformer oil circuit blockage area and the resistance source term, and load them into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling to obtain the temperature field distribution and the velocity field distribution under the transformer blockage fault condition; Based on the temperature field distribution and the velocity field distribution during normal operation of the transformer, as well as the temperature field distribution and the velocity field distribution under the transformer blockage condition, after extracting the temperature monitoring characteristic points and the oil flow velocity monitoring characteristic points, analyze and obtain the evolution law of the transformer characteristic point field; 2. The deduction method for the evolution law of the characteristic point field of a transformer according to claim 1, characterized in that The two-dimensional rotation model for transformer loss calculation is constructed through the following steps: Ignore the components inside the transformer that impede oil flow, and with the core central axis as the rotation symmetry axis, construct a two-dimensional rotation symmetric model between the core and the winding, that is, the two-dimensional rotation model for transformer loss calculation; 3. A method for deducing the evolution law of the characteristic point field of a transformer according to claim 1, characterized in that The step of inputting the core and winding thermal losses during normal operation of the transformer into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling specifically includes: Based on the two-dimensional rotation model for transformer loss calculation, obtain the core thermal loss distribution and the winding thermal loss distribution of the transformer through electromagnetic simulation. After converting the core thermal loss distribution and the winding thermal loss distribution into volume heat source power, input them into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling; 4. A method for deducing the evolution law of the characteristic point field of a transformer according to claim 3, characterized in that, The temperature field distribution and the velocity field distribution during normal operation of the transformer are obtained through the following steps: Input the volume heat source power into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling, and based on the transformer field control equation, calculate the temperature field distribution and the velocity field distribution during normal operation of the transformer through the finite volume method in the COUPLED format; The thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling is based on the strong coupling between the solid domain temperature field distribution and the fluid domain temperature field distribution, performs grid encryption at the fluid-solid interface of the transformer, and presets the transformer working environment, operating conditions, load ratio, and material physical properties; 5. A method for deducing the evolution law of characteristic point fields of a transformer according to claim 1, characterized in that The step of presetting the custom transformer oil circuit blockage area and the resistance source term, and loading them into the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling to obtain the temperature field distribution and the velocity field distribution under the transformer blockage fault condition specifically includes: Taking the core central axis as the Y-axis and the straight line where the bottom of the core is located as the X-axis, establish a two-dimensional coordinate system for the thermal simulation calculation model of transformer magneto-thermal-fluid-solid coupling; Preset the blockage area as a matrix, input the coordinates of two points on the diagonal of the rectangle, and mark the transformer oil duct blockage area in the form of a dynamic link library; Set the transformer oil duct blockage area as a porous medium, set the resistance as isotropic, and calculate the resistance source term of the blockage area. The resistance source term of the blockage area includes viscous resistance and inertial resistance; Load the blocked area and its resistance source term into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling in the form of a dynamic link library to obtain the temperature field distribution and velocity field distribution under the transformer blockage fault condition.

6. The deduction method for the evolution law of the characteristic point field of a transformer according to claim 1, characterized in that, The steps of analyzing and obtaining the evolution law of the transformer characteristic point field after extracting the temperature monitoring characteristic points and oil flow velocity monitoring characteristic points based on the temperature field distribution and velocity field distribution during the normal operation of the transformer, and the temperature field distribution and velocity field distribution under the transformer blockage condition specifically include: Calculate the temperature difference at the same position between the temperature field distribution during the normal operation of the transformer and the temperature field distribution under the transformer blockage condition. Calculate the velocity difference at the same position between the velocity field distribution during the normal operation of the transformer and the velocity field distribution under the transformer blockage condition. Respectively screen the calculation points at the positions with the largest velocity difference and temperature difference as the oil flow velocity monitoring characteristic points and temperature monitoring characteristic points. Establish the mapping relationship between the blocked area, the degree of blockage, and the characteristic point field based on the oil flow velocity monitoring characteristic points and temperature monitoring characteristic points, and extract the evolution law of the transformer characteristic point field based on the mapping relationship.

7. A deduction system for the evolution law of the characteristic point field of a transformer, characterized in that, Include: A thermal loss calculation module for obtaining the thermal losses of the iron core and winding during the normal operation of the transformer based on the two-dimensional rotation model for calculating transformer losses. A normal field distribution simulation module for inputting the thermal losses of the iron core and winding during the normal operation of the transformer into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling, and obtaining the temperature field distribution and velocity field distribution during the normal operation of the transformer when the temperature field distribution of the transformer and the oil flow velocity field distribution of the transformer reach dynamic equilibrium. A blocked fault field distribution simulation module for presetting a custom transformer oil circuit blocked area and resistance source term and loading them into the thermal simulation calculation model of the transformer's magnetic-thermal-fluid-solid coupling to obtain the temperature field distribution and velocity field distribution under the transformer blockage fault condition. A characteristic point monitoring and field evolution law analysis module for analyzing and obtaining the evolution law of the transformer characteristic point field after extracting the temperature monitoring characteristic points and oil flow velocity monitoring characteristic points based on the temperature field distribution and velocity field distribution during the normal operation of the transformer, and the temperature field distribution and velocity field distribution under the transformer blockage condition.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable in the processor. When the processor executes the computer program, it implements the steps of the method for deducing the evolution law of the transformer characteristic point field according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, it implements the steps of the method for deducing the evolution law of the transformer characteristic point field according to any one of claims 1 to 6.

10. A computer program product, the computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for deducing the evolution law of the transformer characteristic point field according to any one of claims 1 to 6.

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