Method and system for optimizing end structure of power transformer

Abstract

The invention discloses a power transformer end structure optimization method and system, and the method comprises the steps: collecting first object data, and inputting the first object data into a first structure model; and performing verification calculation, and judging the rationality of the first structure model. And constructing a first calculation model according to the first object data, and calculating first key data. And optimizing the first calculation model, and outputting the optimized first object structure size. According to the power transformer end structure optimization method and system, electric field distribution is accurately predicted, the size and the weight of equipment are effectively reduced, the manufacturing cost is reduced, meanwhile, the thermal stability and the heat dissipation effect of the equipment are improved, the working life of the power equipment is greatly prolonged, and the operation efficiency of the power equipment is greatly improved. And long-time stable operation of equipment in a high-load and complex working environment is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power system safety, and in particular to a method and system for optimizing the end structure of a power transformer. Background Art

[0002] As a key equipment in the power system, the stability and reliability of power transformers during operation directly affect the safe operation and power supply quality of the power system. At present, the design of the insulation structure of transformers, especially the end insulation structure, generally relies on design experience and is designed in plane drawing software. In addition, the current optimization method of transformer end insulation structure only makes manual changes based on the consideration of structure and electrical strength, and does not combine the electrical strength verification of each part of the end insulation with the autonomous optimization of the structure, resulting in low design efficiency. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention is proposed.

[0004] Therefore, the technical problem solved by the present invention is that the current transformer end insulation structure optimization method only performs manual changes based on structural and electrical strength considerations, and does not combine the electrical strength verification of each part of the end insulation with the autonomous structural optimization, resulting in low design efficiency.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: A method for optimizing the end structure of a power transformer, comprising: collecting first object data and inputting it into a first structural model.

[0006] Perform verification calculations to determine the rationality of the first structural model.

[0007] A first calculation model is constructed according to the first object data to calculate first key data.

[0008] The first calculation model is optimized, and the optimized structural size of the first object is output.

[0009] As a preferred solution of the power transformer end structure optimization method described in the present invention, the first structural model is a calculation model for simulating the electric field distribution in the first object end structure.

[0010] As a preferred solution of the power transformer end structure optimization method described in the present invention, the verification calculation includes setting boundary conditions and setting material properties.

[0011] The setting of boundary conditions includes calculating and allocating physical quantities in the first object data.

[0012] The setting of material properties includes assigning corresponding material properties to components of the first structural model.

[0013] The rationality of the first structural model is preliminarily determined through verification calculation.

[0014] As a preferred solution of the power transformer end structure optimization method described in the present invention, wherein: the judgment of constructing the first calculation model includes constructing the first calculation model according to the structural parameters output by the first structural model, including a hierarchical model and a grid division stage.

[0015] The hierarchical model includes dividing the structure of the first object into levels.

[0016] The grid division includes grid division of the first calculation model, dividing each area into a plurality of small units.

[0017] As a preferred solution of the power transformer end structure optimization method described in the present invention, the calculation of the first key data includes obtaining and analyzing the first key data of the key parts of the first object structure, recording the first key data of each area, and comparing it with the corresponding threshold.

[0018] As a preferred solution of the method for optimizing the end structure of a power transformer described in the present invention, wherein: the first object includes but is not limited to a power transformer, and the first object data includes but is not limited to the total size of the transformer coil, the size of each layer of coil, the size of the outer insulation layer of each layer of coil, and the cardboard-oil channel structure and size between the coils.

[0019] The first structural model is an end structural model, the first calculation model is an electric field calculation model, and the key parts are areas prone to high electric field strength, including but not limited to oil gaps, electrode edges, and insulating layers.

[0020] The first key data is the electric field strength value of the key part.

[0021] As a preferred solution of the power transformer end structure optimization method described in the present invention, wherein: the optimization of the first calculation model and the output of the optimized first object structure size include: the optimization goal is to reduce the oil gap size and the amount of insulating material used to reduce the overall weight and volume of the transformer. A structural optimization function is constructed, and the maximum size of each oil gap, the distance of the main air channel and the overall size of the transformer are used as constraints, while considering the uniformity of the electric field intensity distribution.

[0022] The optimization function is solved by an iterative method. In each iteration, the optimization function calculates the impact of the size change of the oil gap at each location on the safety margin and the electric field strength, thereby selecting the optimal structural size.

[0023] After the optimization calculation is completed, the optimized end structure dimensions are output.

[0024] A power transformer end structure optimization system, characterized in that it includes:

[0025] The acquisition module acquires the first object data and inputs it into the first structural model.

[0026] The verification module performs verification calculations to determine the rationality of the first structural model.

[0027] A calculation module is used to construct a first calculation model according to the first object data and calculate the first key data.

[0028] The optimization module optimizes the first calculation model and outputs the optimized structural size of the first object.

[0029] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0030] A computer-readable storage medium stores a computer program, which implements the steps of the method described above when executed by a processor.

[0031] Beneficial effects of the invention: The invention significantly improves the reliability and safety of electrical equipment. Compared with traditional design methods, the invention can accurately predict the electric field distribution through multi-dimensional parameter input and precise electric field calculation, avoiding problems such as equipment breakdown, overheating or performance degradation caused by concentrated or uneven electric field distribution in traditional methods. It effectively reduces the size and weight of the equipment, reduces manufacturing costs, and improves the thermal stability and heat dissipation effect of the equipment. It greatly improves the working life and operating efficiency of power equipment, ensuring long-term stable operation of the equipment in high-load and complex working environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0033] Figure 1 An overall flow chart of a method and system for optimizing the end structure of a power transformer provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0035] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a method for optimizing the end structure of a power transformer, comprising:

[0036] S1: Collect first object data and input it into a first structural model.

[0037] In the present invention, the first object is a power transformer, and the first structural model is an end structural model. First, the basic information of the transformer to be optimized for the end insulation structure is obtained. The required basic information includes the total size of the transformer coil, the size of each layer of coil, the size of the outer insulation layer of each layer of coil, and the cardboard-oil channel structure and size between the coils. According to the model and design parameters of the transformer, this information is input into the optimization model to form a preliminary end structural model.

[0038] Furthermore, in order to ensure the comprehensiveness of the optimization process, the model needs to input parameters such as the length of the oil gap, the spacing between the coils, and the electrical characteristics of the oil-paper material. These parameters will be used for electric field distribution analysis and safety margin verification in subsequent calculations.

[0039] For power transformers, in addition to basic data, the following data can also be included:

[0040] Working voltage: The rated working voltage range of the transformer.

[0041] Frequency range: Applicable frequency range (such as 50Hz, 60Hz, etc.).

[0042] Short-circuit impedance: The short-circuit impedance value of the transformer, used to analyze load and protection performance.

[0043] Core size and material: the core's shape, size, material (such as silicon steel sheet) and its electromagnetic properties (magnetic permeability, saturation magnetic induction intensity, etc.).

[0044] Magnetic flux density: The magnetic flux density of the transformer, used to optimize the magnetic field distribution.

[0045] Cooling oil flow path and size: The flow path of the transformer oil, the diameter and length of the oil channel, ensure effective heat dissipation.

[0046] Radiator Size and Layout: Size, arrangement and heat exchange efficiency of the radiator used to cool the transformer.

[0047] Shell thickness and material: The thickness and material of the transformer shell (such as the thickness and type of steel plate) to resist electric field and thermal stress.

[0048] Support Frame Structure: The structure, materials and dimensions of the frame and suspension system supporting the transformer.

[0049] It should be noted that the first object includes but is not limited to a power transformer, and may also be a motor and a high-voltage switchgear.

[0050] In an optional embodiment of our invention, the first object is a motor. In the design and optimization of the motor, the electric field distribution of the end structure has an important influence on the performance and reliability of the motor, especially the electric field between the stator and the rotor of the motor and its influence on the insulation material. Therefore, the end structure of the motor can also be used as the first object for optimization analysis.

[0051] The collected data include the following:

[0052] Motor specifications: including the motor's power rating, rated voltage, stator and rotor sizes, rotor winding structure and type, etc.

[0053] End structural parameters: Collect the dimensional data of the motor stator end and rotor end, including the thickness of the stator core, the outer diameter of the rotor, the width of the stator slot, and the shape of the rotor slot.

[0054] Characteristics of insulation materials: Collect electrical performance data of insulation materials at the motor ends, including dielectric strength, insulation layer thickness, etc.

[0055] Electrical parameters: including the operating frequency and voltage of the motor, and the electrical properties of the lubricating oil or coolant used (such as dielectric constant, etc.).

[0056] First, the basic data of the motor, such as power, stator and rotor size, insulation material and electrical characteristics of the end structure, are input into the end structure model. These data will become the basis for building the motor end structure model. Based on the input data, the motor end structure model is established, taking into account the electric field distribution between the stator and rotor ends, the electrical characteristics of the material, and other key parameters (such as electric field strength, dielectric constant, etc.).

[0057] Through verification calculations, the electric field distribution of the motor end structure is checked to ensure that it meets electrical safety and design requirements. If there is an unreasonable electric field distribution or an area with excessively high electric field strength, further size adjustment and optimization are performed.

[0058] For electric motors, in addition to the basic data, the following data can also be included:

[0059] Winding size: diameter, length and number of stator windings.

[0060] Winding Materials: The wire material used, such as copper or aluminum, and the material and thickness of the insulation.

[0061] Rotor OD and ID: The outside and inside diameters of the rotor, as well as the rotor length.

[0062] Rotor material and electrical properties: Material properties of the rotor (such as conductivity, magnetic permeability, etc.).

[0063] Size and distribution of cooling oil channels or air flow paths: The number, size, shape and layout of cooling channels at the end of the motor ensure good heat conduction and heat dissipation.

[0064] End seal material and type: The sealing design of the end structure prevents the entry of external pollutants while ensuring good electrical insulation.

[0065] Type and thickness of insulation material at the end: the material used for end insulation (such as polyurethane, epoxy resin, etc.) and its thickness.

[0066] In an optional embodiment of our invention, the first object is the end structure of a high-voltage switchgear. High-voltage switchgear is widely used in power systems to control and protect the safety of power equipment. In these switchgears, the electric field distribution of the end structure directly affects the stability and safety of the equipment. Therefore, the end structure of the high-voltage switchgear can also be optimized as the first object.

[0067] The collected data include the following:

[0068] Switchgear specifications: including the rated voltage, rated current, type of switch (such as circuit breaker, disconnector, etc.), rated frequency, etc.

[0069] End structural parameters: including the shape and size of the end electrodes of the switchgear, the position of the contact points, the size of the metal casing, etc.

[0070] Electrical properties of insulating materials: Collect relevant data of end insulating materials, especially the electrical strength, thermal stability, mechanical strength, etc. of the insulator.

[0071] Switch operating parameters: such as the switch operating frequency, operating voltage, etc. These data have an important influence on the electric field distribution of the simulated end structure.

[0072] First, the basic parameters of the high-voltage switchgear (such as rated voltage, size of the end electrode, electrical characteristics of the insulating material, etc.) are input into the end structure model. Using the input data, the end structure model of the high-voltage switchgear is constructed. The model will simulate the electric field distribution in the end electrode area of ​​the switch, taking into account the interaction between the metal shell and the insulating material, the change in electric field strength, and possible partial discharge phenomena. Verification calculations are performed to verify whether the electric field distribution at the end of the switchgear is reasonable to ensure that there is no excessive electric field strength or electric field concentration area that may cause electrical breakdown. According to the verification results, the structural size or material is adjusted to optimize the equipment performance and safety.

[0073] For high-voltage switchgear, in addition to basic data, the following data can also be included:

[0074] Electrode shape and size: The geometric shape (such as round, oval, etc.) and size of the electrode, including the surface treatment of the electrode (such as silver plating, copper plating, etc.).

[0075] Electrode spacing and contact pressure: The distance between the switch electrodes and the contact pressure during operation.

[0076] Insulation Gap: The distance between the insulation layer and the electrode in the terminal structure to ensure that no breakdown occurs, especially under high voltage operation.

[0077] Electrical strength of insulating materials: The electrical strength, thermal stability and mechanical strength of the insulating materials used (such as ceramics, epoxy resins, plastics).

[0078] Size and layout of operating mechanism: The size, structure and operating principle of the switch's operating mechanism (such as spring, pneumatic or hydraulic drive).

[0079] Contact wear: The wear characteristics and life expectancy of the switch contacts during long-term use affect the stability of electrical contact.

[0080] Radiator Dimensions: The dimensions and configuration of heat sinks used in high voltage switchgear.

[0081] Oil / air channel structure: If an oil or air cooling system is used, the design and size of the oil or air channel need to be considered to ensure the thermal stability of the equipment.

[0082] S2: Perform verification calculation to determine the rationality of the first structural model.

[0083] In our invention, after the structural parameters are input into the end structure model, the model is preliminarily verified. The specific steps are as follows:

[0084] Set boundary conditions: Boundary conditions include physical quantities such as voltage and current at both ends of the coil to ensure the calculation accuracy of the model. The voltage of each coil is distributed according to the transformer turn voltage calculation formula.

[0085] Set material properties: Assign appropriate material properties to each component in the model. Different materials have different insulation properties, and the assignment process needs to combine the material's compressive strength and dielectric constant to improve the accuracy of the calculation.

[0086] At this point, preliminary voltage distribution calculations and electric field distribution analysis can be used to determine the rationality of the model in terms of basic design, ensuring that subsequent calculations do not deviate from expected results.

[0087] Based on the obtained parameter information, the voltage of each turn is calculated and distributed to each coil. The turn voltage calculation formula (e=4.44fBS) is used in the model to determine the value of the turn voltage. Furthermore, based on the turn voltage and the structure of the winding, the actual voltage value of each layer of coil is calculated. This process needs to consider the impact of different winding methods on voltage distribution.

[0088] In the process of calculating the turn voltage, the transformer frequency and magnetic induction intensity and other parameters are combined to ensure the accurate distribution of the voltage of each coil. This step is an important prerequisite for ensuring the accuracy of the electric field calculation model.

[0089] S3: construct a first calculation model according to the first object data, and calculate first key data.

[0090] Input the completed structural parameters into the electric field calculation module to build the electric field distribution model. This model needs to consider the interaction between the oil gaps, insulating paperboards and coils in the transformer end structure. In order to accurately simulate the actual situation, the electric field calculation model must include the geometric structures of the oil gap, electrode edge, coil, insulating board, etc.

[0091] The construction of the electric field calculation model is mainly divided into the following stages:

[0092] Layered model: The insulation structure at the end of the transformer is divided into layers, such as wire coil, insulation layer, oil gap, etc. This can more intuitively display the distribution of the electric field between layers.

[0093] Meshing: Meshing the electric field calculation model, subdividing each area into multiple small units, so that the electric field values ​​at different locations can be obtained more accurately during the electric field calculation. The density of the meshing is adjusted according to the changes in the electric field intensity distribution. Areas with large changes in electric field intensity use denser meshing to improve the accuracy of the calculation.

[0094] After the electric field model is built, the calculation mode is set and preliminary verification is started according to the relevant withstand voltage test standard of GB1094.3. At this time, the software will perform preliminary calculations on the electric field distribution according to the set parameters and boundary conditions to obtain the electric field distribution of each oil gap.

[0095] The initial verification includes comparing the actual electric field distribution with the expected electric field distribution to ensure that the electric field is reasonably distributed between the insulation layer and the oil gap. If areas with concentrated or high electric fields are found, they can be corrected by adjusting boundary conditions or material properties.

[0096] After the preliminary calculation of the electric field model is completed, the electric field values ​​of the key parts in the transformer end structure are obtained. Key parts usually include oil gaps, electrode edges, insulation layers and other areas that are prone to high electric field strength. The electric field strength of these key parts is analyzed in detail, and the electric field strength value (E) of each area is recorded and compared with the allowable electric field strength (Ep).

[0097] The safety margin of each key part is calculated by the empirical formula S=E / Ep. The calculation of the safety margin is a key factor in ensuring the safety of the structure. Generally, the safety margin is required to be greater than 1 (i.e. S>1), indicating that the structural design meets the safety requirements. If the safety margin of a certain place is less than 1, the area needs to be further optimized.

[0098] In this process, the material and structural parameters of key parts can be adjusted multiple times to gradually increase the safety margin. To enhance safety, cross judgment can also be introduced, that is, the electric field strength of two adjacent areas is compared to determine whether there is electric field concentration or local excessive high. If there is an abnormal situation, the local reinforcement treatment is performed in the subsequent optimization.

[0099] S4: Optimizing the first calculation model and outputting the optimized structural size of the first object.

[0100] On the basis of meeting the safety margin requirements, the structure optimization begins. The main goal of the optimization is to reduce the oil gap size and the amount of insulation material used to reduce the overall weight and volume of the transformer. The structural optimization function is constructed, taking the maximum size of each oil gap, the distance of the main air channel and the overall size of the transformer as constraints, while considering the uniformity of the electric field intensity distribution.

[0101] The optimization function is solved by iterative method, and gradually approaches the optimal solution through multiple calculations. In each iteration, the optimization function calculates the impact of the size change of the oil gap at each location on the safety margin and the electric field strength, thereby selecting the optimal structural size.

[0102] After the optimization calculation is completed, the optimized end structure dimensions are output, which include parameters such as the length of each oil gap, the thickness of each insulation layer, and the distance between coils, ensuring that these parameters meet the safety margin requirements and design limitations.

[0103] The computer device may be a server. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data cluster data of a power monitoring system. 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 via a network connection. When the computer program is executed by the processor, a method for optimizing the end structure of a power transformer is implemented.

[0104] 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 and volatile memory. Non-volatile memory may 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 may 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, etc., but are not limited to this.

[0105] Embodiment 2 is an embodiment of the present invention, which provides a method and system for optimizing the end structure of a power transformer. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0106] The existing technology usually uses experience-based and experimental methods to design and optimize the transformer end structure, without fully considering the impact of various electrical parameters, physical boundary conditions and material properties on the electric field distribution, resulting in uneven electric field strength and a high risk of insulation layer failure. The typical steps of the method include:

[0107] Obtain basic data of the transformer and input it into the traditional calculation model.

[0108] The electric field strength is calculated according to a fixed empirical formula.

[0109] According to the results of the electric field strength distribution, manual adjustments are made to optimize structures such as the oil gap and the insulating layer.

[0110] However, the disadvantage of this method is the lack of accurate electric field distribution simulation, which makes it difficult to effectively avoid high electric field intensity areas or local overheating, resulting in a low safety margin of the design and poor optimization effect.

[0111] Our invention adopts an optimization method based on refined electric field distribution calculation and multiple verifications. The specific steps are as follows:

[0112] Data collection: First, obtain the basic parameters and electrical characteristics of the transformer, including the total size of the coil, the size of the coil, voltage, current, operating frequency and other information.

[0113] Structural modeling: The transformer end structural model is established based on the collected parameters to accurately simulate the oil gap, insulation layer, and electric field distribution between the ends.

[0114] Electric field distribution calculation and verification: After inputting the material electrical characteristic data, the electric field distribution at the end is analyzed through the electric field distribution calculation module and compared with the safety standards to confirm whether there is an unreasonable electric field concentration area.

[0115] Safety margin analysis: Calculate the electric field strength at key locations, analyze its ratio to the allowable electric field strength, calculate the safety margin for each area, and ensure that the margin is greater than 1 to meet safety requirements.

[0116] Structural optimization: Based on the results of electric field strength distribution and safety margin analysis, the transformer end structure is optimized, and parameters such as oil gap size and insulation material thickness are adjusted to reduce weight and volume, while ensuring that the electric field is evenly distributed and the safety margin meets the requirements.

[0117] The experimental results are shown in Table 1.

[0118] Table 1 Experimental results

[0119]

[0120] By comparing the data in the above table, we can clearly see the significant differences between our invention and the prior art, and demonstrate the innovation and advantages of our invention.

[0121] The prior art failed to fully consider the uniformity of the electric field during the calculation of the electric field strength, resulting in the maximum electric field strength reaching 4.2kV / cm, while the maximum electric field strength after optimization in our invention was reduced to 3.0kV / cm, and the optimization target was lowered to below 3.0kV / cm. This shows that our invention can reduce the high electric field strength area and reduce the risk of electrical failure caused by electric field concentration through precise calculation and structural adjustment.

[0122] The safety margin of the existing technology is only 0.85, which is lower than the safety standard, indicating that there are potential safety hazards in the design. In contrast, the safety margin of our invention after optimization has been greatly improved to 1.2, and even after further optimization, the margin can reach 1.5. This shows that our invention optimizes the design while ensuring safety, and improves the safety and reliability of the equipment.

[0123] The oil gap size in the existing technology is 10.5mm, while the optimized oil gap size of our invention is reduced to 8.2mm. This change can not only reduce the overall volume of the transformer, but also effectively improve the electric field uniformity of the equipment, make the electric field distribution more stable, and reduce potential electrical fault points.

[0124] The thickness of the insulating layer is crucial to the stability of electrical insulation. The thickness of the insulating layer in the prior art is 2.8 mm, but in our invention, through optimized design, the thickness is reduced to 2.0 mm while maintaining good electrical performance. After optimization, the amount of insulating material used is reduced, which helps to reduce costs and improve equipment efficiency.

[0125] By optimizing the oil gap size and insulation layer thickness, our invention effectively reduces the overall volume and weight of the transformer. Without sacrificing performance, the volume of the transformer has been reduced from 1.02m 3 Down to 0.95m 3 , the weight was reduced from 850kg to 820kg. After further optimization, the volume and weight were greatly reduced, which shows that our invention has improved the compactness of the equipment while maintaining good electrical performance.

[0126] The optimized design reduces the amount of insulation material used from 35kg in the existing technology to 28kg. After further optimization, the amount of insulation material used is reduced to 25kg. This not only reduces the cost of materials, but also reduces the overall weight of the transformer, improving the economic efficiency of the equipment.

[0127] Embodiment 3 is an embodiment of the present invention, including a system for optimizing the end structure of a power transformer, specifically:

[0128] The acquisition module acquires the first object data and inputs it into the first structural model.

[0129] The verification module performs verification calculations to determine the rationality of the first structural model.

[0130] A calculation module is used to construct a first calculation model according to the first object data and calculate the first key data.

[0131] The optimization module optimizes the first calculation model and outputs the optimized structural size of the first object.

[0132] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing the end structure of a power transformer, characterized in that: include: Collecting first object data and inputting it into a first structural model; Performing verification calculation to determine the rationality of the first structural model; Constructing a first calculation model according to the first object data to calculate first key data; The first calculation model is optimized, and the optimized structural size of the first object is output.

2. The method for optimizing the end structure of a power transformer according to claim 1, characterized in that: The first structural model is a computational model that simulates the electric field distribution in the first object end structure.

3. The method for optimizing the end structure of a power transformer according to claim 2, characterized in that: The verification calculation includes setting boundary conditions and setting material properties; The setting of boundary conditions includes calculating and allocating physical quantities in the first object data; The setting of material properties includes assigning corresponding material properties to components of the first structural model; The rationality of the first structural model is preliminarily determined through verification calculation.

4. The method for optimizing the end structure of a power transformer according to claim 3, characterized in that: The determining of constructing the first calculation model includes constructing the first calculation model according to the structural parameters output by the first structural model, including a hierarchical model and a grid division stage; The hierarchical model includes dividing the structure of the first object into levels; The grid division includes grid division of the first calculation model, dividing each area into a plurality of small units.

5. The method for optimizing the end structure of a power transformer according to claim 4, characterized in that: The calculating of the first key data includes obtaining and analyzing the first key data of the key parts of the first object structure, recording the first key data of each area, and comparing the first key data with the corresponding threshold value.

6. The method for optimizing the end structure of a power transformer according to claim 5, characterized in that: The first object includes but is not limited to a power transformer, and the first object data includes but is not limited to the total size of the transformer coil, the size of each layer of coil, the size of the outer insulation layer of each layer of coil, and the paperboard-oil channel structure and size between the coils; The first structural model is an end structural model, the first calculation model is an electric field calculation model, and the key parts are areas prone to high electric field strength, including but not limited to oil gaps, electrode edges, and insulating layers; The first key data is the electric field strength value of the key part.

7. The method for optimizing the end structure of a power transformer according to claim 6, characterized in that: The optimizing the first calculation model and outputting the optimized structural dimensions of the first object include: the optimization goal is to reduce the oil gap size and the amount of insulating material used to reduce the overall weight and volume of the transformer; constructing a structural optimization function, taking the maximum size of each oil gap, the distance of the main air channel and the overall size of the transformer as constraints, and considering the uniformity of the electric field intensity distribution; The optimization function is solved by an iterative method. In each iteration, the optimization function calculates the impact of the size change of the oil gap at each location on the safety margin and the electric field strength, thereby selecting the optimal structural size. After the optimization calculation is completed, the optimized end structure dimensions are output.

8. A system for optimizing the end structure of a power transformer using the method according to any one of claims 1 to 7, characterized in that: An acquisition module, which acquires first object data and inputs it into a first structural model; A verification module, performing verification calculations to determine the rationality of the first structural model; A calculation module, constructing a first calculation model according to the first object data, and calculating first key data; The optimization module optimizes the first calculation model and outputs the optimized structural size of the first object.

9. 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 7 are implemented.

10. 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 7 are implemented.

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