CN115510650A - Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium - Google Patents
Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN115510650A CN115510650A CN202211181036.5A CN202211181036A CN115510650A CN 115510650 A CN115510650 A CN 115510650A CN 202211181036 A CN202211181036 A CN 202211181036A CN 115510650 A CN115510650 A CN 115510650A
- Authority
- CN
- China
- Prior art keywords
- transformer
- temperature field
- field data
- analysis area
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The application relates to a temperature distribution data determination method, a temperature distribution data determination device, a computer device, a storage medium and a computer program product. The method comprises the following steps: dividing a transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area; connecting a simulation power supply to the transformer simulation model, and acquiring external temperature field data and internal temperature field data in each analysis area; and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area. By adopting the method, the temperature field distribution of each region of the transformer under different shell material properties can be researched, the value of the waste heat utilization of the transformer can be evaluated, and an idea can be provided for the waste heat utilization engineering practice of the transformer.
Description
Technical Field
The present application relates to the field of simulation techniques for a transformer temperature field, and in particular, to a method and an apparatus for determining temperature distribution data, a computer device, a storage medium, and a computer program product.
Background
Under the aim of 'double carbon', the power industry in China faces the challenges of large emission reduction scale and short emission reduction transition time. As the equipment with the most concentrated heat loss in a power transformation system, a large amount of waste heat generated in the operation process of the transformer is used for hot water supply, building heating, air conditioning refrigeration and other occasions, and the zero-carbonization operation of the building is promoted.
In the traditional technology, the calculation of a thermal field inside a transformer and the construction of a thermal circuit are often focused, and therefore the improvement of the structural parameters and the manufacturing process of the transformer is guided. However, for the transformer which is put into practical operation, the internal structure and the material of the transformer are difficult to change, and the waste heat utilization of the transformer is difficult to effectively improve.
Disclosure of Invention
In view of the above, it is necessary to provide a temperature distribution data determination method, an apparatus, a computer device, a computer readable storage medium, and a computer program product, which can effectively evaluate the value of the transformer waste heat utilization.
In a first aspect, the present application provides a method for determining temperature distribution data. The method comprises the following steps:
dividing the transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area;
connecting a simulation power supply to the transformer simulation model to obtain external temperature field data and internal temperature field data in each analysis area;
and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In one embodiment, the dividing the transformer simulation model into a plurality of analysis regions includes:
the method comprises the steps of obtaining a plurality of components of a transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
In one embodiment, accessing a simulation power supply to a transformer simulation model to obtain external temperature field data and internal temperature field data in each analysis area includes:
acquiring boundary conditions of simulation voltage and simulation current;
calculating the distribution of hot spots of the transformer main body under the condition of current introduction as internal temperature field data; the transformer main body comprises an iron core and a coil;
acquiring heat dissipation data of a transformer main body in an analysis area on an air area and a shell respectively;
and coupling the internal temperature field data with the heat dissipation data to determine external temperature field data in the analysis area.
In one embodiment, before calculating the distribution of hot spots of the transformer body under the condition of passing current, the method comprises the following steps: and arranging a heat insulation piece on the transformer shell.
In one embodiment, before the transformer simulation model is connected to the simulation power supply, the method further includes: and closing the heat dissipation channel of the transformer shell.
In one embodiment, the method further includes: and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
In a second aspect, the present application also provides a temperature distribution data determination apparatus. The device comprises:
the area dividing module is used for dividing the transformer simulation model into a plurality of analysis areas and acquiring material parameters in each analysis area;
the temperature field data acquisition module is used for accessing a simulation power supply to the transformer simulation model and acquiring external temperature field data and internal temperature field data in each analysis area;
and the variable adjusting module is used for determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In a third aspect, the application also provides a computer device. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method of any of the above embodiments when executing the computer program.
In a fourth aspect, the present application further provides a computer device readable storage medium. The computer device readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any of the above embodiments.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, performs the steps of the method according to any of the embodiments described above.
According to the temperature distribution data determining method, the temperature distribution data determining device, the computer equipment, the storage medium and the computer program product, firstly, the transformer simulation model is divided into a plurality of analysis areas, and material parameters in each analysis area are obtained. And then, a simulation power supply is connected to the transformer simulation model, and external temperature field data and internal temperature field data in each analysis area are obtained. And finally, determining the temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area. By adjusting the material properties of the transformer and dividing each region, the temperature field distribution of each region of the transformer under different shell material properties is researched, so that the value of the waste heat utilization of the transformer is evaluated, and an idea can be provided for the waste heat utilization engineering practice of the transformer.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for determining temperature distribution data;
FIG. 2 is a schematic diagram of a process for building a transformer simulation model based on transformer entities in one embodiment;
FIG. 3 is a schematic illustration of different density meshing for different analysis regions in one embodiment;
FIG. 4 is a block diagram showing the structure of a temperature distribution data determining apparatus according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The method for determining the temperature distribution data can be applied to a server or a terminal single side, can also be applied to a system comprising the terminal and the server, and can be realized through interaction of the terminal and the server.
When the temperature distribution data determining method provided by the embodiment of the application is applied to system implementation comprising the terminal and the server, the server can provide the environment for determining the temperature distribution data for the terminal. Firstly, a server divides a transformer simulation model into a plurality of analysis areas, and obtains material parameters in each analysis area. And then, the server accesses a simulation power supply to the transformer simulation model to acquire external temperature field data and internal temperature field data in each analysis area. And finally, the server acquires the material parameters provided by the terminal, and determines the temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area. By adjusting the material properties of the transformer and dividing each region, the temperature field distribution of each region of the transformer under different shell material properties is researched, the evaluation of the value of the waste heat utilization of the transformer is facilitated, and ideas can be provided for the waste heat utilization engineering practice of the transformer.
The terminal may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and other input devices capable of inputting text, images, or voices. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers.
In one embodiment, as shown in fig. 1, a method for determining temperature distribution data is provided, which is described by taking the method as an example applied to the server side in fig. 1, and includes the following steps 102 to 106.
In this embodiment, the server may build a transformer simulation model based on the entity of the transformer, including the following steps 202 to 206.
In step 202, the components included in the transformer simulation model are determined.
In this embodiment, the server may establish a transformer simulation model according to the main components of a transformer and the actual sizes of the main components. Wherein, the main part of transformer includes: a transformer body and a housing, the transformer body may include but is not limited to: transformer core, high and low voltage coils, insulating envelope of the coils and air space inside the housing.
In this embodiment, the transformer may further include secondary components, which may include, but are not limited to: the transformer cabinet has small volume, does not directly participate in electric conduction, and has small influence on temperature, such as: connecting screws, a transformer base steel frame and the like.
In another embodiment, the server may also host the primary components, the secondary components, and the physical dimensions of the primary and secondary components of the transformer to create a transformer simulation model.
And step 204, determining the size parameters of each part in the transformer simulation model.
In this embodiment, the server may obtain actual dimensions corresponding to components included in the transformer simulation model to determine the dimensional parameters, for example, establish a three-dimensional model according to the dimensions of 1
In this embodiment, after the server establishes the transformer simulation model based on the main components of the transformer and the actual sizes of the main components, a heat sink may be added to the housing.
In this embodiment, after the transformer simulation model is established, the server may perform area division on the transformer simulation model to obtain a plurality of analysis areas.
And 104, accessing a simulation power supply to the transformer simulation model, and acquiring external temperature field data and internal temperature field data in each analysis area.
In the present embodiment, the server obtains the material parameters in each analysis area based on the transformer simulation model. The material parameters may include, but are not limited to: the material and physical parameters of the coil may be copper, the iron core may be silicon steel, the insulating material may be resin, and the casing may be stainless steel, for example.
In another embodiment, the material parameters may be isotropic in the three-dimensional space in which the transformer simulation model is located.
In this embodiment, the server may determine electrical parameters for accessing the simulated power supply based on the material parameters within the analysis area. Electrical parameters may include, but are not limited to: coil turns, simulation voltage, simulation current boundary conditions, and the like.
In this embodiment, the simulated current boundary conditions may include: rated, light load, overload, etc. current conditions. Wherein the light current condition may set the current to 50-90% of the nominal value, and the over current condition may set the current to be greater than the nominal value but not more than 115% of the nominal value. By setting the working current under multiple scenes, the temperature field distribution of the transformer shell under different load conditions can be obtained, and the residual heat extraction potential of the transformer under different scenes can be evaluated on the basis of the temperature field distribution.
In another embodiment, the settings of the number of coil turns, the rated current, and the no-load current by the server may be determined according to nameplate parameters of the simulation subject transformer.
And 106, determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In the present embodiment, the material parameter refers to the material parameter of the component in each analysis region. Among other things, material parameters may include, but are not limited to: material and physical parameters.
In the embodiment, the properties of the material parameters, the thermal conductivity, the density, the specific heat capacity, the thickness of the shell and the like of the transformer shell material are changed along with the modification of the material parameters, and the temperature field distribution of each region of the transformer under different shell material properties can be researched by adjusting the properties of the transformer material and dividing each region.
In the method for determining the temperature distribution data, the transformer simulation model is divided into a plurality of analysis areas, and material parameters in each analysis area are obtained. And then, a simulation power supply is connected to the transformer simulation model, and external temperature field data and internal temperature field data in each analysis area are obtained. And finally, determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area. By adjusting the material properties of the transformer and dividing each region, the temperature field distribution of each region of the transformer under different shell material properties is researched, the evaluation of the value of the waste heat utilization of the transformer is facilitated, and ideas can be provided for the waste heat utilization engineering practice of the transformer.
In some embodiments, partitioning the transformer simulation model into a plurality of analysis regions includes: the method comprises the steps of obtaining a plurality of components of a transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
In this embodiment, based on the difference of the material parameters in different analysis areas, the server may perform meshing with different densities for different analysis areas. For example, as shown in fig. 3, the server may grid transformer cores, coils, and coil enclosures more densely than air and fan areas more sparsely (relative to the grid transformer cores, coils, and coil enclosures). It will be appreciated that, because of the thinness of the housing, it is not shown in the figures.
By dividing different material parameters into different grid densities, the calculation time of analysis areas such as air areas and fan areas can be effectively reduced, and the utilization rate and the calculation efficiency of calculation resources are improved.
In some embodiments, accessing a simulation power supply to the transformer simulation model, and acquiring external temperature field data and internal temperature field data in each analysis area includes: acquiring boundary conditions of simulation voltage and simulation current; calculating the distribution of hot spots of the transformer main body under the condition of current introduction to serve as internal temperature field data; the transformer main body comprises an iron core and a coil; acquiring heat dissipation data of a transformer main body in an analysis area on an air area and a shell respectively; and coupling the internal temperature field data with the heat dissipation data to determine external temperature field data in the analysis area.
In this embodiment, the server may determine simulated voltage and simulated current boundary conditions for accessing the simulated power supply based on the material parameters within the analysis area.
In this embodiment, the internal temperature field data refers to the temperature distribution of the transformer body such as the coil and the transformer core, and the heat dissipation of the transformer body to the housing through the air gap. The external temperature field is obtained by heat dissipation from the internal temperature field.
In this embodiment, the server may calculate electromagnetic field distribution of the transformer main body under the condition of current supply by the electric module, and then obtain a hot spot distribution condition of the transformer main body based on an electromagnetic field calculation result.
In some embodiments, before calculating the distribution of hot spots of the transformer body with the current applied, the method comprises: and a heat insulation piece is arranged on the transformer shell.
In this embodiment, the server can set up thermal-insulated cotton through the simulation on the shell in transformer simulation model, reduces the heat-sinking capability of shell, makes the inside heat accumulation of transformer machine case, is convenient for draw in unison.
In another embodiment, the server can also achieve the same heat insulation effect as the heat insulation piece by changing material parameters such as heat conductivity, density, specific heat capacity and thickness of the shell in the material parameters corresponding to the transformer shell. Through changing the parameters of the shell material, the utilization value of the transformer waste heat extraction method under different shell material attribute scenes can be conveniently compared and tested.
In the present embodiment, the temperature gradient in the heat conduction direction can be determined based on the fourier cooling law as shown in the formula (1)
Equation (1) is as follows:
wherein Q is the heat passing through the cross section in a unit time; kappa is the thermal conductivity of the substance, and the unit of the kappa is W.m < -1 >. K < -1 >;
is the temperature gradient in the direction of heat conduction; a is the sectional area of the heat-conducting surface.
Further, based on the temperature gradient in the direction of heat conduction
The time change rate of a certain point in space can be obtained
In this embodiment, the three-dimensional heat conduction equation of the system under the steady state of the transformer simulation model in the three-dimensional space is shown in formula (2):
wherein, the first and the second end of the pipe are connected with each other,
the rate of change of temperature over time at a point in space, which is equal to 0 in the steady state case; α = κ/ρ c, which is the thermal diffusivity of the material at that point, where ρ is the density of matter and c is the specific heat capacity;
is the second partial derivative of the temperature to the direction of the x coordinate axis in the three-dimensional space,
is the second partial derivative of the temperature to the direction of the y coordinate axis in the three-dimensional space,
is the second partial derivative of the temperature to the direction of the z coordinate axis in the three-dimensional space.
According to the formulas (1) and (2), the heat conductivity of the shell is reduced, so that the heat diffusivity is reduced, the heat in the transformer is difficult to dissipate, and the condition is provided for uniform heat extraction. It should be noted here that after uniform heat removal, the temperature in the chassis should not be higher than that in the case of free heat dissipation.
In some embodiments, before the transformer simulation model is connected to the simulation power supply, the method further includes: and closing the heat dissipation channel of the transformer shell.
In this embodiment, the server may remove the heat dissipation holes in the housing after the heat insulation member is disposed on the transformer housing, and only the vent at the top of the transformer is reserved for heat dissipation.
It should be noted that, from the perspective of engineering application, the waste heat extraction in the region close to the main body of the transformer needs to consider insulation problems and may adversely affect the normal operation of the transformer, so that the waste heat extraction can only be performed in the outer shell part. Meanwhile, the change of the heat transfer property of the shell material or the arrangement of the heat insulation piece by manual means does not mean that heat cannot be emitted, and the means only prevents the heat from being freely emitted, so that the heat in the case can be uniformly extracted through hot spots of the shell.
In some embodiments, the above method further comprises: and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
In the embodiment, by changing the parameters of the shell material, the server can analyze the external temperature field of the transformer under different conditions, determine the spatial distribution of the temperature field, evaluate the value of the utilization of the waste heat of the transformer, and obtain a scene most suitable for extracting the waste heat of the transformer for guiding engineering practice.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a temperature distribution data determination apparatus for implementing the temperature distribution data determination method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the temperature distribution data determining device provided below can be referred to the limitations of the temperature distribution data determining method in the foregoing, and details are not described herein again.
In one embodiment, as shown in fig. 4, there is provided a temperature distribution data determination apparatus including: a zone division module 402, a temperature field data acquisition module 404, and a variable adjustment module 406, wherein:
the area dividing module 402 is configured to divide the transformer simulation model into a plurality of analysis areas, and obtain a material parameter in each analysis area.
And a temperature field data obtaining module 404, configured to access a simulation power supply to the transformer simulation model, and obtain external temperature field data and internal temperature field data in each analysis region.
And a variable adjusting module 406, configured to determine temperature distribution data in the analysis area corresponding to the material parameter based on the material parameter, and the external temperature field data and the internal temperature field data in each analysis area.
In one embodiment, the region dividing module 402 may include:
and the meshing submodule is used for acquiring a plurality of components of the transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
In one embodiment, the temperature field data acquisition module 404 may include:
and the simulation data acquisition submodule is used for acquiring boundary conditions of simulation voltage and simulation current.
The internal temperature field data calculation submodule is used for calculating the hot spot distribution of the transformer main body under the condition of current introduction and taking the hot spot distribution as internal temperature field data; the transformer body comprises an iron core and a coil.
And the heat dissipation data acquisition submodule is used for acquiring heat dissipation data of the transformer main body in the analysis area on the air area and the shell respectively.
And the external temperature field data determining submodule is used for coupling the internal temperature field data with the heat dissipation data and determining the external temperature field data in the analysis area.
In one embodiment, the internal temperature field data calculation submodule may include:
and the heat insulation unit is used for forming heat insulation conditions on the transformer shell.
In one embodiment, the temperature field data acquiring module 404 may further include:
and the heat dissipation closing submodule is used for closing the heat dissipation channel of the transformer shell.
In one embodiment, the apparatus further comprises:
and the data analysis module is used for carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
The respective modules in the temperature distribution data determination device described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured 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 operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing data such as internal temperature field data, external temperature field data, material parameters and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of temperature distribution data determination.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: dividing the transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area; connecting a simulation power supply to the transformer simulation model to obtain external temperature field data and internal temperature field data in each analysis area; and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In one embodiment, the processor, when executing the computer program, performs the dividing of the transformer simulation model into a plurality of analysis regions, which may include: the method comprises the steps of obtaining a plurality of components of a transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
In one embodiment, the processor, when executing the computer program, accesses the simulation power supply to the transformer simulation model and obtains the external temperature field data and the internal temperature field data in each analysis area, which may include: acquiring boundary conditions of simulation voltage and simulation current; calculating the distribution of hot spots of the transformer main body under the condition of current introduction to serve as internal temperature field data; the transformer main body comprises an iron core and a coil; acquiring heat dissipation data of a transformer main body in an analysis area on an air area and a shell respectively; and coupling the internal temperature field data with the heat dissipation data to determine external temperature field data in the analysis area.
In one embodiment, the processor when executing the computer program may be configured to perform the following steps before calculating the distribution of hot spots of the transformer body under the condition of passing current: and a heat insulation piece is arranged on the transformer shell.
In one embodiment, before the processor executes the computer program to access the simulation power supply to the transformer simulation model, the method may further include: and closing the heat dissipation channel of the transformer shell.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: dividing a transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area; connecting a simulation power supply to the transformer simulation model to obtain external temperature field data and internal temperature field data in each analysis area; and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In one embodiment, the computer program when executed by the processor to implement the partitioning of the transformer simulation model into a plurality of analysis regions may include: the method comprises the steps of obtaining a plurality of parts of a transformer simulation model, and carrying out grid division on the areas where different parts are located based on the areas where the parts are located to obtain a plurality of analysis areas.
In one embodiment, the computer program, when executed by the processor, for accessing a simulation power supply to the transformer simulation model and acquiring external temperature field data and internal temperature field data in each analysis area, may include: acquiring boundary conditions of simulation voltage and simulation current; calculating the distribution of hot spots of the transformer main body under the condition of current introduction as internal temperature field data; the transformer main body comprises an iron core and a coil; acquiring heat dissipation data of a transformer main body in an analysis area on an air area and a shell respectively; and coupling the internal temperature field data with the heat dissipation data to determine external temperature field data in the analysis area.
In one embodiment, the computer program, when executed by the processor, may be configured to perform the following steps before calculating the distribution of hot spots of the transformer body under the condition of passing current: and arranging a heat insulation piece on the transformer shell.
In one embodiment, before the computer program is executed by a processor to access the simulation power supply to the transformer simulation model, the method may further include: and closing the heat dissipation channel of the transformer shell.
In one embodiment, the computer program when executed by the processor further performs the steps of: and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of: dividing a transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area; connecting a simulation power supply to the transformer simulation model to obtain external temperature field data and internal temperature field data in each analysis area; and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
In one embodiment, the computer program when executed by the processor to implement the partitioning of the transformer simulation model into a plurality of analysis regions may include: the method comprises the steps of obtaining a plurality of components of a transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
In one embodiment, the computer program, when executed by the processor, for accessing a simulation power supply to the transformer simulation model and acquiring external temperature field data and internal temperature field data in each analysis area, may include: acquiring boundary conditions of simulation voltage and simulation current; calculating the distribution of hot spots of the transformer main body under the condition of current introduction to serve as internal temperature field data; the transformer main body comprises an iron core and a coil; acquiring heat dissipation data of a transformer main body in an analysis area on an air area and a shell respectively; and coupling the internal temperature field data with the heat dissipation data to determine external temperature field data in the analysis area.
In one embodiment, the computer program, when executed by the processor, may be configured to perform the following steps before calculating the distribution of hot spots of the transformer body under the condition of passing current: and a heat insulation piece is arranged on the transformer shell.
In one embodiment, before the computer program is executed by the processor to access the simulation power supply to the transformer simulation model, the method may further include: and closing the heat dissipation channel of the transformer shell.
In one embodiment, the computer program when executed by the processor may further perform the steps of: and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.
Claims (10)
1. A method for determining temperature distribution data, the method comprising:
dividing a transformer simulation model into a plurality of analysis areas, and acquiring material parameters in each analysis area;
connecting a simulation power supply to the transformer simulation model to acquire external temperature field data and internal temperature field data in each analysis area;
and determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
2. The method of claim 1, wherein the dividing the transformer simulation model into a plurality of analysis regions comprises:
and acquiring a plurality of components of the transformer simulation model, and meshing the areas where different components are located based on the areas where the components are located to obtain a plurality of analysis areas.
3. The method of claim 1, wherein said accessing a simulation power supply to said transformer simulation model to obtain external temperature field data and internal temperature field data in each of said analysis areas comprises:
acquiring boundary conditions of simulation voltage and simulation current;
calculating the distribution of hot spots of the transformer main body under the condition of current introduction to serve as internal temperature field data; the transformer main body comprises an iron core and a coil;
acquiring heat dissipation data of the transformer main body in the analysis area on an air area and a shell respectively;
and coupling the internal temperature field data with the heat dissipation data, and determining external temperature field data in the analysis area.
4. The method of claim 3, wherein calculating the distribution of hot spots of the transformer body with the current applied comprises: and a heat insulation piece is arranged on the transformer shell.
5. The method of claim 1, wherein before the step of connecting the transformer simulation model to the simulation power supply, the method further comprises: and closing the heat dissipation channel of the transformer shell.
6. The method of claim 1, further comprising:
and carrying out data analysis on the temperature distribution data corresponding to the analysis area to obtain a waste heat extraction evaluation result corresponding to the analysis area.
7. A temperature distribution data determination apparatus, characterized in that the apparatus comprises:
the area dividing module is used for dividing the transformer simulation model into a plurality of analysis areas and acquiring material parameters in each analysis area;
the temperature field data acquisition module is used for accessing a simulation power supply to the transformer simulation model and acquiring external temperature field data and internal temperature field data in each analysis area;
and the variable adjusting module is used for determining temperature distribution data in the analysis area corresponding to the material parameters based on the material parameters and the external temperature field data and the internal temperature field data in each analysis area.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211181036.5A CN115510650A (en) | 2022-09-27 | 2022-09-27 | Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211181036.5A CN115510650A (en) | 2022-09-27 | 2022-09-27 | Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115510650A true CN115510650A (en) | 2022-12-23 |
Family
ID=84506981
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211181036.5A Pending CN115510650A (en) | 2022-09-27 | 2022-09-27 | Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115510650A (en) |
-
2022
- 2022-09-27 CN CN202211181036.5A patent/CN115510650A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Smolka | CFD-based 3-D optimization of the mutual coil configuration for the effective cooling of an electrical transformer | |
| Copiello et al. | Multi-objective genetic optimization of the heat transfer from longitudinal wavy fins | |
| Song | Studying the fan-assisted cooling using the Taguchi approach in open and closed data centers | |
| Shanel et al. | Conjugate heat transfer analysis of a salient pole rotor in an air cooled synchronous generator | |
| Deckard et al. | Convergence and validation in parapower: A design tool for phase change materials in electronics packaging | |
| Hung et al. | Numerical optimization of the thermal performance of a porous-microchannel heat sink | |
| Yang et al. | A new method for transformer hot-spot temperature prediction based on dynamic mode decomposition | |
| Bahadori et al. | A mesh-free Monte-Carlo method for simulation of three-dimensional transient heat conduction in a composite layered material with temperature dependent thermal properties | |
| Breen et al. | From chip to cooling tower data center modeling: Chip leakage power and its impact on cooling infrastructure energy efficiency | |
| US20170091356A1 (en) | Subtractive Design for Heat Sink Improvement | |
| CN112784455B (en) | Thermal simulation numerical value calculation method and device based on renovation and electronic equipment | |
| Sauer et al. | A combined eulerian-lagrangian data representation for large-scale applications | |
| CN115510650A (en) | Temperature distribution data determination method, temperature distribution data determination device, computer equipment and storage medium | |
| CN115169265B (en) | Method, system, equipment and medium for analyzing mixing coefficient based on numerical analysis | |
| Iqbal et al. | An enriched finite element method for efficient solutions of transient heat diffusion problems with multiple heat sources | |
| Bhopte et al. | Numerical and experimental study of the effect of underfloor blockages on data center performance | |
| Mohan et al. | Thermal analysis of CPU with CCC and copper base plate heat sinks using CFD | |
| Zia Zahedi et al. | Nonlinear Adaptive Magneto-Thermal Analysis at Bushing Regions of a Transformers Cover Using Finite Difference Method | |
| CN115422808A (en) | Transformer temperature field model order reduction method based on Krylov subspace | |
| Zhang et al. | Research on equivalent thermal network modeling for rare-earth giant magnetostrictive transducer | |
| Zhang et al. | 2-D coupled fluid-thermal analysis of oil-immersed power transformers based on finite element method | |
| Yao et al. | A 3D finite element analysis of large‐scale nonlinear dynamic electromagnetic problems by harmonic balancing and domain decomposition | |
| Chauhan et al. | A review on methods to simulate three dimensional rotating electrical machine in magnetic vector potential formulation using edge finite element method under sliding surface principle | |
| Dirker et al. | Cooling of power electronics by embedded solids | |
| Das et al. | The optimal design of HTS devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |