CN116305363A - Temperature field distribution calculation method and device, electronic equipment and medium - Google Patents
Temperature field distribution calculation method and device, electronic equipment and medium Download PDFInfo
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Abstract
The invention discloses a method, a device, electronic equipment and a medium for calculating temperature field distribution, wherein the method comprises the following steps: obtaining a simulation calculation model corresponding to a target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model. According to the method, the calculation of the temperature field distribution is performed based on the two-dimensional axisymmetric simulation calculation model, so that the calculated amount of temperature calculation is reduced, and the operation speed is improved.
Description
Technical Field
The present invention relates to the field of transformer temperature analysis technologies, and in particular, to a method and apparatus for calculating temperature field distribution, an electronic device, and a medium.
Background
The power transformer is used as one of core equipment of a power system, is widely applied to power grids of various voltage classes, and safe and reliable operation of the power transformer is an important guarantee for stable operation of the power system. The dry-type transformer has the characteristics of high operation efficiency, high reliability, excellent environmental performance and the like, and the proportion occupied in the power distribution network is larger and larger. The temperature rise characteristic is an important index reflecting the health state of the dry-type transformer, particularly the transient temperature rise characteristic, and can be used for evaluating the overload capacity of the dry-type transformer.
The existing temperature field distribution calculation method mainly adopts a numerical calculation method, is mainly used for calculating the temperature distribution in the forced convection heat exchange mode, and is large in calculated amount and low in calculation speed.
Disclosure of Invention
The invention provides a temperature field distribution calculation method, a temperature field distribution calculation device, electronic equipment and a temperature field distribution medium, so that the calculated amount of temperature calculation is reduced, and the calculation speed is improved.
According to an aspect of the present invention, there is provided a method for calculating a temperature field distribution, including:
obtaining a simulation calculation model corresponding to a target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model;
and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
According to another aspect of the present invention, there is provided a temperature field distribution calculating apparatus including:
the acquisition module is used for acquiring a simulation calculation model corresponding to the target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model;
and the calculation module is used for calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of calculating a temperature field distribution according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for calculating a temperature field distribution according to any of the embodiments of the present invention when executed.
The embodiment of the invention provides a method, a device, electronic equipment and a medium for calculating temperature field distribution, wherein the method comprises the following steps: obtaining a simulation calculation model corresponding to a target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model. By using the technical scheme, the calculation of the temperature field distribution is performed based on the two-dimensional axisymmetric simulation calculation model, so that the calculated amount of temperature calculation is reduced, and the calculation speed is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for calculating a temperature field distribution according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for calculating a temperature field distribution according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a smoothed excitation signal according to a second embodiment of the present invention;
FIG. 4 is a schematic diagram of another smoothed excitation signal according to a second embodiment of the present invention;
FIG. 5 is a flowchart of another method for calculating a temperature field distribution according to the second embodiment of the present invention;
FIG. 6 is a schematic diagram of a geometric model according to a second embodiment of the present invention;
fig. 7 is a schematic diagram of a temperature field distribution of a target transformer according to a second embodiment of the present invention;
FIG. 8 is a schematic diagram of the result of comparing the average temperature rise theoretical value with the simulation value at different load rates according to the second embodiment of the present invention;
FIG. 9 is a schematic diagram of a temperature field distribution calculating device according to a third embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "target," "original," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for calculating a temperature field distribution according to an embodiment of the present invention, where the method may be performed by a temperature field distribution calculating device of a transformer, the temperature field distribution calculating device may be implemented in hardware and/or software, and the temperature field distribution calculating device may be configured in an electronic device.
It is considered that the transformers can be classified into dry type transformers and oil immersed type transformers according to the insulating medium. The dry-type transformer has the characteristics of high operation efficiency, strong reliability, excellent environmental performance and the like, and the proportion occupied in the power distribution network is larger and larger. According to statistics, the dry type transformer can account for 40% -50% of the distribution transformer, and the temperature rise characteristic is an important index reflecting the health state of the dry type transformer, particularly the transient temperature rise characteristic, and can be used for evaluating the overload capacity of the dry type transformer.
At present, the common dry variable temperature rise solving method mainly comprises an empirical formula method, a thermoelectric analogy method, a numerical calculation method and the like, wherein the numerical calculation method can obtain the temperature field distribution of the dry transformer. The existing method for solving the distribution of the dry variable temperature field by adopting numerical calculation is large in calculated amount and low in calculated speed, and is mainly used for steady-state temperature rise calculation in a forced convection heat transfer mode, and the transient temperature rise process in a natural convection heat transfer mode is difficult to converge and difficult to calculate.
Based on the above, the embodiment of the invention provides a calculation method suitable for the temperature field distribution of the natural convection heat dissipation dry-type transformer, so as to quickly calculate the temperature distribution in the transient process of the natural convection heat dissipation dry-type transformer. As shown in fig. 1, the method includes:
s110, acquiring a simulation calculation model corresponding to the target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model.
Wherein the target transformer may be considered as a transformer requiring calculation of the temperature distribution; the simulation calculation model may refer to a model corresponding to the target transformer and is used for calculating temperature distribution in the transient process of the target transformer, and in this embodiment, the simulation calculation model may be a two-dimensional axisymmetric model.
Specifically, in this embodiment, the simulation calculation model corresponding to the target transformer may be first obtained to perform subsequent calculation of the temperature field distribution, and a manner of obtaining the simulation calculation model is not limited, for example, the simulation calculation model corresponding to the target transformer may be first established and then obtained when the temperature field distribution calculation is performed on the target transformer for the first time according to different obtaining manners corresponding to different calculation timings of calculating the temperature distribution; when the temperature field distribution of the target transformer at the subsequent moment is calculated, the simulation calculation model of the target transformer can be directly obtained.
In one embodiment, the obtaining the simulation calculation model corresponding to the target transformer includes:
determining a geometric model of the target transformer, wherein the geometric model is a model corresponding to a main body structural component of the target transformer, and the main body structural component comprises an iron core and a winding;
and configuring the geometric model according to the material parameters and a preset control equation to obtain a simulation calculation model corresponding to the target transformer.
The geometric model may refer to a model corresponding to a body structural component of the target transformer for characterizing a geometric structure of the body structural component of the target transformer; the main structural component may be a main component of the target transformer, for example, the main structural component may include an iron core and a winding of the target transformer, and may also include other components of the target transformer, such as a clamping piece, etc., and the specific content may be determined by a configurator based on experience.
The material parameters can be considered as parameters for configuring each part in the geometric model, for example, the material parameters can comprise specific heat capacity of the iron core and the like; the preset control equation may refer to a preset control equation used for characterizing conditions that each parameter in the geometric model needs to satisfy, e.g., the preset control equation may include one or more control equations.
In one embodiment, the material parameters include a body structural component parameter and a fluid parameter, the fluid parameter being a material parameter of an air domain located outside the body structural component, the fluid parameter being a piecewise linear function.
The main body structural component parameters may refer to parameters of the main body structural component of the target transformer, such as density and specific heat capacity of the core, etc.; the fluid parameter may be considered a material parameter of an air-domain located outside the body structural component, in this embodiment the air-domain outside the body structural component may be set to a fluid, the specific content of which may be set by a configurator, for example the fluid parameter may be a piecewise linear function.
In one embodiment, the material parameters of the windings, the iron core and the air domain of the target transformer are required to be assigned, and the density, the specific heat capacity, the heat conductivity coefficient and the like (i.e. the parameters of the main structural component) of the solid domain are not basically changed along with the change of temperature, and can be set to be constant; the material parameters (i.e., fluid parameters) of the air-domain are greatly affected by temperature and can be described by piecewise linear functions.
In table 1, parameters of a main body structural component provided in this embodiment are shown, wherein the first row may be parameters of the low-voltage winding, the second row may be parameters of the high-voltage winding, the third row may be parameters of the clip, and the fourth row may be parameters of the iron core.
Table 2 shows one fluid parameter provided in this example, namely the material parameter of the air domain.
In one implementation, the essence of the present embodiment that adopts the multi-physical field simulation technique to solve the transient temperature distribution of the dry-type transformer may be to solve the partial differential equation by using the finite element method. For the heat transfer problem of solid areas such as iron cores, windings and the like, the control equation of the two-dimensional axisymmetric transient heat conduction of the dry-type transformer can be determined according to the law of conservation of energy, namely that the sum of energy flowing into a certain unit and the heating value thereof is equal to the sum of the heat flowing out of the unit and the internal energy increase
Wherein k is thermal conductivity; t is the temperature; q is a heat source.
At the same time, the outside of the solid area is surrounded by air, the temperature of the solid area is increased to cause the surrounding air to expand due to heating, the hot air is increased, the cold air is decreased, and the air flow process can take away the heat of the outer surface of the solid area in a convection mode. Therefore, according to the hydrodynamics, the non-isothermal flow process of air and the like needs to follow the law of conservation of mass, momentum and energy, and satisfy the Navier-Stokes equationConstraints, specific control equations may include:
and->
ρ is the insulating oil density; u is the oil flow velocity vector; p is pressure; f is the volumetric force; lambda is the insulating oil dynamic viscosity.
Specifically, the geometric model of the target transformer can be determined first, for example, the geometric model can be built for all structures of the target transformer, and the structure of the target transformer can be simplified to build the geometric model. By way of example, the calculation amount can be reduced without affecting the simulation accuracy, and the structure of the target transformer is simplified and processed as follows: the device structures such as the lifting ring, the high-voltage connecting rod, the stay and the like of the target transformer can be omitted, and main structural components of the target transformer such as iron cores, clamping pieces, windings and the like are considered; the operations of neglecting edges and deleting holes are adopted, so that most of geometric models are of integral structures, and the mesh is conveniently divided; and respectively constructing high-voltage winding coils and low-voltage winding coils, wherein the high-voltage coils can be multi-layer segmented cylindrical coils wound by flat copper wires, and the low-voltage coils can be foil coils wound by axially continuous copper foils.
And then, according to the material parameters and a preset control equation, carrying out corresponding configuration on the geometric model to obtain a simulation calculation model corresponding to the final target transformer.
In one embodiment, the obtaining the simulation calculation model corresponding to the target transformer includes:
boundary conditions of the simulated computing model are determined, including slip-free boundary conditions, open boundary conditions, and symmetric boundary conditions.
The boundary conditions in this embodiment may include a slip-free boundary condition, an open boundary condition, and a symmetric boundary condition, and the specific contents of the above three boundary conditions are not limited, and may be set based on actual conditions.
In one embodiment, the gravity acceleration of the embodiment can be set to be 9.81m/s2, and the direction is negative reverse of the y axis; meanwhile, the body of the target transformer and the air domain interface can be a fluid-solid coupling interface, and the fluid-solid coupling interface is set to be a slip-free boundary condition; setting an inlet below an air domain of a target transformer, wherein the ambient temperature is 20 ℃, the open boundary conditions are set above the air domain of the target transformer and on the side far away from the iron core, and the symmetrical boundary conditions are set on the side close to the iron core; the core and winding surfaces were set to be diffusely reflective surfaces with a surface emissivity of 0.9.
In one embodiment, in the process of establishing the simulation calculation model corresponding to the target transformer, boundary conditions of the simulation calculation model can be determined, so that accuracy of the simulation calculation model is ensured.
In one embodiment, the simulated computing model is a model built based on a narrow-side cross section of the target transformer.
In one embodiment, the three-dimensional dry-type transformer has large calculation amount and slow calculation speed in the transient temperature rise process, so that the narrow-side cross section of the target transformer can be selected to establish a two-dimensional heat flow field simulation model, namely a simulation calculation model.
S120, calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
The excitation signal may be used to characterize a loss value corresponding to a heat source of the target transformer, which may be considered a device or apparatus that causes a change in the temperature of the target transformer, such as a device that heats the target transformer; the processed excitation signal may be understood as a signal obtained by processing the excitation signal, and the specific means of processing is not limited, and may be determined according to the actual situation of the heat source.
The step may calculate a temperature field distribution of the target transformer based on the excitation signal processed by the target transformer and the simulation calculation model after the simulation calculation model is acquired, so as to use the calculated temperature distribution for evaluation of performance of the target transformer, such as overload capacity evaluation. The specific process of calculating the temperature field distribution is not limited, for example, the processed excitation signal can be input into a simulation calculation model of the target transformer to directly output the temperature field distribution of the target transformer; the temperature field distribution of the target transformer can also be obtained by calculating the excitation signal processed by the target transformer and the simulation calculation model, which is not limited in this embodiment.
According to the calculation method of the temperature field distribution, provided by the embodiment of the invention, a simulation calculation model corresponding to a target transformer is obtained, wherein the simulation calculation model is a two-dimensional axisymmetric model; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model. By using the method, the calculation of the temperature field distribution is performed based on the two-dimensional axisymmetric simulation calculation model, so that the calculated amount of temperature calculation is reduced, and the calculation speed is improved.
Example two
Fig. 2 is a flowchart of a method for calculating a temperature field distribution according to a second embodiment of the present invention, where the second embodiment is optimized based on the above embodiments. In this embodiment, the case before the calculation of the temperature field distribution of the target transformer based on the excitation signal processed by the target transformer and the simulation calculation model is further specified as: and carrying out smoothing treatment on the excitation signal based on the nameplate parameter of the target transformer to obtain the treated excitation signal.
For details not yet described in detail in this embodiment, refer to embodiment one.
As shown in fig. 2, the method includes:
s210, acquiring a simulation calculation model corresponding to the target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model.
S220, conducting smoothing processing on the excitation signal based on the nameplate parameter of the target transformer to obtain the processed excitation signal.
The nameplate parameter may refer to a factory parameter of the target transformer.
The step can be used for carrying out smoothing processing on the excitation signal based on the nameplate parameter of the target transformer so as to obtain a processed excitation signal, and the smoothing processing process can be determined based on the excitation signal.
In one embodiment, the excitation signal is a loss value corresponding to a target transformer heat source, the target transformer heat source is a main structural component of the target transformer, and the excitation signal is a step function.
In one embodiment, the target transformer heat source is a main cause of the target transformer heat, the target transformer heat source may be a main structural component of the target transformer, that is, the loss on the main structural component of the target transformer is a main cause of the target transformer heat, and the step function may be used to characterize the loss value corresponding to the target transformer heat source in this embodiment.
Fig. 3 is a schematic diagram of a smoothed excitation signal according to a second embodiment of the present invention, as shown in fig. 3, which is a signal obtained by smoothing a step function based on nameplate parameters of windings.
Fig. 4 is a schematic diagram of another smoothed excitation signal according to the second embodiment of the present invention, as shown in fig. 4, which is a signal obtained by smoothing a step function based on a nameplate parameter of an iron core.
S230, calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
According to the calculation method of the temperature field distribution, provided by the embodiment II, a simulation calculation model corresponding to the target transformer is obtained, and the simulation calculation model is a two-dimensional axisymmetric model; smoothing the excitation signal based on nameplate parameters of the target transformer to obtain the processed excitation signal; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model. By using the method, the convergence of the subsequent simulation calculation process is improved by performing smoothing treatment on the excitation signal based on the nameplate parameter of the target transformer.
FIG. 5 is a flowchart of another method for calculating temperature field distribution according to the second embodiment of the present invention, as shown in FIG. 5, step functions may be used to characterize heat sources of each portion of a dry-type transformer (i.e. a target transformer heat source is a main structural component of the target transformer, and the excitation signal is a step function), and smoothing is performed, so as to improve convergence of a transient simulation calculation process; then, a two-dimensional axisymmetric heat flow field transient simulation model (namely a simulation calculation model corresponding to a target transformer) under a natural convection heat radiation mode can be constructed for the dry-type transformer based on the finite element principle, and the smoothed heat source is used as excitation of the simulation model; and then, each variable in the constructed heat flow field transient simulation model can be coupled into a single matrix, and the matrix is calculated by adopting an iteration method with smaller calculated quantity to obtain the transient temperature distribution of the dry-type transformer in the natural convection heat transfer mode (namely, the temperature field distribution of the target transformer is calculated based on the excitation signal processed by the target transformer and the simulation calculation model).
Fig. 6 is a schematic structural diagram of a geometric model, which is shown in fig. 6 and corresponds to a main structural component of a target transformer, and the main structural component may include an iron core 1, a winding 2 and a clip 3.
Fig. 7 is a schematic diagram of a temperature field distribution of a target transformer according to a second embodiment of the present invention, and as shown in fig. 7, the temperature distribution of each component in the target transformer at a certain moment can also be obtained by the above method provided in this embodiment.
By the method, the transient temperature distribution of a certain dry-type transformer can be simulated and calculated, and meanwhile, the embodiment can adopt the method to carry out experimental verification so as to verify the effectiveness and accuracy of the method. For example, for a simulated dry transformer, temperature rise tests at different load rates may be performed to verify the accuracy of the proposed simulation calculation method.
Fig. 8 is a schematic diagram of results of comparing average temperature rise theoretical values with simulation values under different load rates according to a second embodiment of the present invention, where, as shown in fig. 8, a test fit curve of average temperature rise under different load rates is highly fitted to a simulation fit curve, and the theoretical values and the test values are highly substantially identical, so that the effectiveness and accuracy of the simulation calculation method provided in this embodiment can be verified.
In summary, compared with the traditional dry type variable temperature rise calculation method (such as an empirical formula method, a thermal network method, a numerical calculation method), the calculation method of the temperature field distribution provided by the embodiment of the invention can reasonably simplify the geometric structure of the dry type transformer on the premise of not influencing the simulation calculation result of the temperature field, and adopts a two-dimensional axisymmetric model to geometrically model the dry type transformer according to the symmetry of the dry type transformer, thereby greatly reducing the calculation amount of simulation calculation and improving the calculation speed. In addition, the heat source of the dry-type transformer is characterized by adopting a step function after smoothing treatment, so that the convergence of the transient simulation model is improved.
Therefore, the embodiment of the invention realizes the quick and accurate simulation calculation of the transient temperature rise process of the natural convection dry-type transformer, obtains the temperature distribution of the dry-type transformer at any moment in the cold start process, is used for the health state evaluation and overload capacity evaluation of the dry-type transformer, and provides theoretical guidance for the structural optimization and state evaluation of the dry-type transformer.
Example III
Fig. 9 is a schematic structural diagram of a temperature field distribution calculating device according to a third embodiment of the present invention. As shown in fig. 9, the apparatus includes:
the obtaining module 310 is configured to obtain a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model;
and a calculation module 320, configured to calculate a temperature field distribution of the target transformer based on the excitation signal processed by the target transformer and the simulation calculation model.
According to the calculation device for temperature field distribution provided by the third embodiment of the invention, the simulation calculation model corresponding to the target transformer is obtained through the obtaining module, and the simulation calculation model is a two-dimensional axisymmetric model; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model through a calculation module. By using the device, the calculation of the temperature field distribution is performed based on the two-dimensional axisymmetric simulation calculation model, so that the calculated amount of temperature calculation is reduced, and the calculation speed is improved.
Optionally, the obtaining module 310 is specifically configured to:
determining a geometric model of the target transformer, wherein the geometric model is a model corresponding to a main body structural component of the target transformer, and the main body structural component comprises an iron core and a winding;
and configuring the geometric model according to the material parameters and a preset control equation to obtain a simulation calculation model corresponding to the target transformer.
Optionally, the material parameters include a body structural component parameter and a fluid parameter, the fluid parameter being a material parameter of an air domain located outside the body structural component, the fluid parameter being a piecewise linear function.
Optionally, the device for calculating temperature field distribution provided by the embodiment of the present invention further includes:
and the smoothing module is used for carrying out smoothing processing on the excitation signal based on the nameplate parameter of the target transformer before the temperature field distribution of the target transformer is calculated based on the excitation signal processed by the target transformer and the simulation calculation model, so as to obtain the processed excitation signal.
Optionally, the excitation signal is a loss value corresponding to a target transformer heat source, the target transformer heat source is a main structural component of the target transformer, and the excitation signal is a step function.
Optionally, the obtaining module 310 is specifically configured to:
boundary conditions of the simulated computing model are determined, including slip-free boundary conditions, open boundary conditions, and symmetric boundary conditions.
Optionally, the simulation calculation model is a model established based on a narrow-side cross section of the target transformer.
The temperature field distribution calculating device provided by the embodiment of the invention can execute the temperature field distribution calculating method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 10 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 10, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the respective methods and processes described above, such as a method of calculating a temperature field distribution.
In some embodiments, the method of calculating the temperature field distribution may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above-described method of calculating a temperature field distribution may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of calculating the temperature field distribution in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of calculating a temperature field distribution, comprising:
obtaining a simulation calculation model corresponding to a target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model;
and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
2. The method of claim 1, wherein the obtaining a simulated computing model corresponding to the target transformer comprises:
determining a geometric model of the target transformer, wherein the geometric model is a model corresponding to a main body structural component of the target transformer, and the main body structural component comprises an iron core and a winding;
and configuring the geometric model according to the material parameters and a preset control equation to obtain a simulation calculation model corresponding to the target transformer.
3. The method of claim 2, wherein the material parameters include a body structural component parameter and a fluid parameter, the fluid parameter being a material parameter of an air domain located outside the body structural component, the fluid parameter being a piecewise linear function.
4. The method of claim 1, further comprising, prior to said calculating a temperature field distribution of said target transformer based on said target transformer processed excitation signal and said simulated calculation model:
and carrying out smoothing treatment on the excitation signal based on the nameplate parameter of the target transformer to obtain the treated excitation signal.
5. The method of claim 4, wherein the excitation signal is a loss value corresponding to a target transformer heat source, the target transformer heat source being a body structural component of the target transformer, the excitation signal being a step function.
6. The method of claim 1, wherein the obtaining a simulated computing model corresponding to the target transformer comprises:
boundary conditions of the simulated computing model are determined, including slip-free boundary conditions, open boundary conditions, and symmetric boundary conditions.
7. The method of claim 1, wherein the simulated computing model is a model built based on a narrow side cross section of the target transformer.
8. A computing device for temperature field distribution, comprising:
the acquisition module is used for acquiring a simulation calculation model corresponding to the target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model;
and the calculation module is used for calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of calculating a temperature field distribution according to any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the method of calculating a temperature field distribution according to any of claims 1-7 when executed.
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