A temperature distribution calculation method and device for natural oil circulation type transformers

By establishing models of various regions of the transformer through iterative training, the problem of inaccurate calculation of temperature distribution in windings and radiators was solved, achieving higher calculation accuracy and model convergence, and incorporating the influence of thermosiphon effect.

CN115859555BActive Publication Date: 2026-06-16YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
Filing Date
2022-09-30
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

The existing methods for calculating the temperature distribution of natural oil circulation transformers are not accurate enough and cannot effectively unify the calculation of the temperature distribution of windings and radiators, resulting in inaccurate calculation results.

Method used

An iterative training method is used to establish initial models of the winding, oil tank and radiator respectively. The target model that meets the preset conditions is obtained through iterative training. The temperature distribution of the transformer is calculated by combining the thermosiphon effect.

🎯Benefits of technology

It improves the accuracy of temperature distribution calculation, reduces the workload of model solving and improves model convergence, and takes into account the influence of thermosiphon effect.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The embodiment of the present application discloses a kind of temperature distribution calculation method and device for natural oil circulation type transformer.The method includes: based on the winding area of target transformer, oil tank area and radiator area, respectively establish initial winding model, initial oil tank model and initial radiator model;Based on the predetermined initial winding inlet velocity, predetermined initial winding inlet temperature and the initial first proportion corresponding to the initial oil tank model obtained by simulation and flowing into the winding part of oil tank total inlet, using initial winding model, initial oil tank model and initial radiator model, using the way of iterative training, training obtains target winding model, target oil tank model and target radiator model that meet preset condition;Based on target winding model, target oil tank model and target radiator model, calculate and obtain the temperature distribution data of target transformer.The method in the application can accurately calculate and obtain the temperature distribution data of transformer.
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Description

Technical Field

[0001] This invention relates to the field of temperature detection technology, and more particularly to a method and apparatus for calculating the temperature distribution of a natural oil circulation transformer. Background Technology

[0002] As society's demand for energy continues to increase, transformers are becoming increasingly important to power systems. As a widely used electrical device in power systems, transformers are a major component of the safe transmission and economical distribution of electrical energy, playing a crucial role in the safe and stable operation of the power system.

[0003] Because the power source for the insulation oil circulation in a naturally circulating (ON) transformer is the thermosiphon effect, existing calculation methods suffer from difficulties in temperature calculation and the inability to uniformly calculate the main heat-generating parts (windings) and the main heat-dissipating parts of the transformer. Current transformer temperature distribution calculations mostly use empirical values ​​of oil flow velocity at the tank inlet as boundary conditions. This method ignores the thermosiphon effect and is highly empirical, easily leading to inaccurate temperature distribution calculations.

[0004] Therefore, there is an urgent need for a method to calculate the temperature distribution of natural oil circulation transformers in order to solve the problem of inaccurate temperature distribution calculation in existing technologies. Summary of the Invention

[0005] In view of this, the present invention provides a method and apparatus for calculating the temperature distribution of a natural oil circulation transformer, to solve the problem of inaccurate transformer temperature calculation in the prior art. To achieve one, some, or all of the above objectives, or other objectives, the present invention proposes a method for calculating the temperature of a natural oil circulation transformer, comprising:

[0006] Based on the winding region, tank region, and radiator region of the target transformer, an initial winding model corresponding to the winding, an initial tank model without winding, and an initial radiator model are established respectively.

[0007] Based on the predetermined initial winding inlet speed, the predetermined initial winding inlet temperature, and the initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, the target winding model, target oil tank model, and target radiator model that meet the preset conditions are trained by using the initial winding model, the initial oil tank model without winding, and the initial radiator model.

[0008] Based on the target winding model, target oil tank model, and target radiator model, the temperature distribution data of the target transformer is calculated.

[0009] Preferably, before training the target winding model, target fuel tank model, and target radiator model that meet preset conditions using the initial winding model, the initial fuel tank model without winding, and the initial radiator model through iterative training, the method further includes:

[0010] Based on the initial winding inlet velocity, the predetermined initial winding inlet temperature, and the initial winding model, the simulation obtains the initial first proportion of the insulating oil flowing into the winding relative to the total inlet of the oil tank, corresponding to the initial oil tank model.

[0011] Preferably, based on the initial winding inlet velocity, the predetermined initial winding inlet temperature, and the initial winding model, the simulation obtains the initial first proportion of the insulating oil flowing into the winding relative to the total inlet of the oil tank, corresponding to the initial oil tank model, including:

[0012] Based on the initial winding inlet velocity and initial winding inlet temperature, the winding outlet temperature and winding outlet velocity are calculated using the winding model.

[0013] Based on the winding outlet temperature and the winding outlet velocity as boundary conditions for the winding section, the initial oil tank model is adjusted; based on the adjusted initial oil tank model, several sets of oil tank inlet oil flow velocities with gradient distribution are set, and the initial first proportion is determined by simulation.

[0014] Preferably, the step of using the initial winding model, the initial fuel tank model without windings, and the initial radiator model to train and obtain the target winding model, the target fuel tank model, and the target radiator model that meet preset conditions through iterative training includes:

[0015] Based on the first ratio and the initial winding inlet velocity, the oil tank inlet velocity is calculated.

[0016] Based on the oil tank inlet velocity and the initial winding inlet temperature, the oil tank outlet temperature and oil tank outlet velocity are calculated using the oil tank model.

[0017] Based on the oil tank outlet temperature and the oil tank outlet velocity, the radiator outlet velocity and the radiator outlet temperature are calculated using the initial radiator model.

[0018] Determine whether the preset conditions are met based on the radiator outlet speed, the radiator outlet temperature, the oil tank inlet speed, and the initial winding inlet temperature.

[0019] If the preset conditions are not met, adjust the model parameters of the initial winding model, initial oil tank model, and initial radiator model to obtain the current winding model, current oil tank model, and current radiator model; update the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio; based on the updated current winding inlet velocity, current winding inlet temperature, and current first ratio, recalculate the current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity using the current winding model, current oil tank model, and current radiator model, until the current winding inlet temperature, current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity meet the preset conditions, and obtain the target winding model, target oil tank model, and target radiator model.

[0020] Preferably, updating the initial winding inlet speed, the initial winding inlet temperature, and the initial first ratio includes:

[0021] Based on the radiator outlet temperature and the radiator outlet velocity, the current winding inlet temperature and the current winding inlet velocity are calculated using the initial first ratio.

[0022] Based on the current winding inlet temperature, current winding inlet speed, and current winding model, the simulation obtains the current first scale corresponding to the current tank model.

[0023] Preferably, the step of determining whether the preset condition is met based on the radiator outlet velocity, the radiator outlet temperature, the oil tank inlet velocity, and the initial winding inlet temperature includes:

[0024] Calculate the first difference between the inlet velocity of the oil tank and the outlet velocity of the radiator;

[0025] The initial winding inlet temperature is used as the oil tank inlet temperature, and the second difference between it and the radiator outlet temperature is calculated.

[0026] The first difference and the second difference are compared with the corresponding difference thresholds respectively. If both are less than the corresponding difference thresholds, it is determined that the preset condition is met.

[0027] If the first difference and / or the second difference are greater than or equal to the corresponding difference threshold, it is determined that the preset condition is not met.

[0028] Preferably, the step of calculating the temperature distribution of the target transformer based on the target winding model, the target tank model, and the target radiator model includes:

[0029] Based on the target winding model, the first temperature distribution data corresponding to the winding region, which includes the spatial relationship between temperature and location, is calculated.

[0030] Based on the target fuel tank model, a second temperature distribution data corresponding to the fuel tank area, which includes the spatial relationship between temperature and location, is calculated.

[0031] Based on the target radiator model, a third temperature distribution data corresponding to the radiator region, including the spatial relationship between temperature and location, is calculated.

[0032] Based on the first temperature distribution data, the second temperature distribution data, and the third temperature distribution data, the target temperature distribution data of the target transformer is obtained.

[0033] To address the aforementioned problems, this application provides a temperature distribution calculation device for natural oil circulation transformers, comprising:

[0034] A module is established to create an initial winding model corresponding to the winding, an initial oil tank model without winding, and an initial radiator model based on the winding region, oil tank region, and radiator region of the target transformer, respectively.

[0035] The iterative training module is used to train a target winding model, a target oil tank model, and a target radiator model that meet preset conditions based on a predetermined initial winding inlet speed, a predetermined initial winding inlet temperature, and an initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation. The module utilizes the initial winding model, the initial oil tank model without windings, and the initial radiator model to train the target winding model, the target oil tank model, and the target radiator model using an iterative training method.

[0036] The calculation module is used to calculate the temperature distribution data of the target transformer based on the target winding model, the target oil tank model, and the target radiator model.

[0037] To address the above problems, this application provides an electronic device, the electronic device comprising:

[0038] One or more processors;

[0039] Storage device for storing one or more programs.

[0040] When the one or more programs are executed by the one or more processors, the one or more processors implement the temperature distribution calculation method for natural oil circulation transformers as described above.

[0041] To address the aforementioned problems, this application provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the temperature distribution calculation method for a natural oil circulation transformer as described above.

[0042] This application discloses a method and apparatus for calculating the temperature distribution of a natural oil circulation transformer. By establishing regional models for each area of ​​the target transformer and then employing an iterative solution / training approach, the workload of model solving is reduced, the convergence of the model is improved, and the overall temperature distribution of the transformer can be calculated without compromising model accuracy. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solving, addressing the limitations of traditional calculation methods that cannot account for the thermosiphon effect, thus further improving the accuracy of temperature distribution calculation. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] in:

[0045] Figure 1 This is a flowchart illustrating a method for calculating the temperature distribution of a natural oil circulation transformer in one embodiment.

[0046] Example 2 is a schematic diagram showing the positional relationship of the winding, oil tank, and radiator, as well as the flow direction of the insulating oil in an embodiment of the present invention;

[0047] Figure 3 This is a structural block diagram of a temperature distribution calculation device for a natural oil circulation transformer, according to another embodiment of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] One embodiment of the present invention provides a method for calculating the temperature distribution of a natural oil circulation transformer, such as... Figure 1 As shown, the method in this embodiment includes the following steps:

[0050] Step S101: Based on the winding region, tank region and radiator region of the target transformer, establish the initial winding model corresponding to the winding, the initial tank model without winding and the initial radiator model respectively.

[0051] In this step, a two-dimensional axisymmetric or three-dimensional model of the winding structure can be established, meaning the initial winding model can be either two-dimensional or three-dimensional. Specifically, the heat source, winding heating power, thermal conductivity and density (of the winding, insulating paper, insulating oil, etc.), and viscosity of the insulating oil, among other boundary conditions, can be selected according to the actual situation. These boundary conditions are then combined with the detailed structural dimensions of the winding, including the oil channel structure, oil channel length and width, winding length and width, and insulating paper thickness, to establish the initial winding model. Similarly, the initial tank model can be established by using the winding outlet velocity and winding outlet temperature as boundary conditions, without considering the precise model of the transformer winding, and combining these with the specific dimensions of the tank. This establishes the model of the main tank section of the transformer, i.e., the initial tank model, where the heating element is the iron core. Similarly, a radiator model can be established for the corresponding radiator section.

[0052] Step S102: Based on the predetermined initial winding inlet speed, the predetermined initial winding inlet temperature, and the initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, the target winding model, the target oil tank model, and the target radiator model that meet the preset conditions are trained by using the initial winding model, the initial oil tank model without winding, and the initial radiator model.

[0053] In this step, the predetermined initial winding inlet speed and predetermined initial winding inlet temperature can be set based on traditional experience. In specific implementation, based on the initial winding inlet speed, predetermined initial winding inlet temperature, and initial winding model, an initial first proportion of the insulating oil flowing into the winding relative to the total inlet of the oil tank corresponding to the initial oil tank model can be simulated. Then, based on the first proportion and the initial winding inlet speed, the oil tank inlet speed is calculated. Based on the oil tank inlet speed and the initial winding inlet temperature, the oil tank outlet temperature and oil tank outlet speed are calculated using the oil tank model. Based on the oil tank outlet temperature and oil tank outlet speed, the radiator outlet speed and radiator outlet temperature are calculated using the initial radiator model. Based on the radiator outlet speed, radiator outlet temperature, oil tank inlet speed, and initial winding inlet temperature, it is determined whether the preset conditions are met. In the absence of... Under the condition that the preset conditions are met, the model parameters of the initial winding model, the initial oil tank model, and the initial radiator model are adjusted to obtain the current winding model, the current oil tank model, and the current radiator model; the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio are updated; based on the updated current winding inlet velocity, the current winding inlet temperature, and the current first ratio, the current oil tank inlet velocity, the current radiator outlet temperature, and the current radiator outlet velocity are recalculated using the current winding model, the current oil tank model, and the current radiator model until the current winding inlet temperature, the current oil tank inlet velocity, the current radiator outlet temperature, and the current radiator outlet velocity meet the preset conditions, and the target winding model, the target oil tank model, and the target radiator model are obtained.

[0054] Step S103: Based on the target winding model, target oil tank model, and target radiator model, calculate the temperature distribution data of the target transformer.

[0055] In the specific implementation process of this step, a first temperature distribution data corresponding to the winding region and containing the spatial relationship between temperature and location can be calculated based on the target winding model; a second temperature distribution data corresponding to the tank region and containing the spatial relationship between temperature and location can be calculated based on the target tank model; a third temperature distribution data corresponding to the radiator region and containing the spatial relationship between temperature and location can be calculated based on the target radiator model; and the target temperature distribution data of the target transformer can be obtained based on the first temperature distribution data, the second temperature distribution data, and the third temperature distribution data.

[0056] This application discloses a method and apparatus for calculating the temperature distribution of a natural oil circulation transformer. By establishing regional models for each area of ​​the target transformer and then employing an iterative solution / training approach, the workload of model solving is reduced, the convergence of the model is improved, and the overall temperature distribution of the transformer can be calculated without compromising model accuracy. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solving, addressing the limitations of traditional calculation methods that cannot account for the thermosiphon effect, thus further improving the accuracy of temperature distribution calculation.

[0057] Based on the above embodiments, another embodiment of the present invention provides a method for calculating the temperature distribution of a natural oil circulation transformer. In this embodiment, the positional relationship of the windings, oil tank, and radiator in the transformer is as follows: Figure 2 As shown in the figure, the arrows indicate the flow direction of the insulating oil, that is, it flows in the direction of the clockwise rotation. The method in this embodiment includes the following steps:

[0058] Step S201: Based on the winding region, tank region and radiator region of the target transformer, establish the initial winding model corresponding to the winding, the initial tank model without winding and the initial radiator model respectively.

[0059] Step 202: Based on the initial winding inlet velocity and initial winding inlet temperature, use the winding model to calculate the winding outlet temperature and winding outlet velocity;

[0060] Step 203: Based on the winding outlet temperature and the winding outlet velocity as boundary conditions for the winding section, adjust the initial oil tank model; based on the adjusted initial oil tank model, set several sets of oil tank inlet oil flow velocities with gradient distribution, and determine the initial first proportion through simulation.

[0061] Step 204: Based on the first ratio and the initial winding inlet velocity, calculate the tank inlet velocity; based on the tank inlet velocity and the initial winding inlet temperature, use the tank model to calculate the tank outlet temperature and the tank outlet velocity.

[0062] Step 205: Based on the oil tank outlet temperature and the oil tank outlet velocity, use the initial radiator model to calculate the radiator outlet velocity and the radiator outlet temperature.

[0063] Step 206: Calculate the first difference between the oil tank inlet velocity and the radiator outlet velocity; use the initial winding inlet temperature as the oil tank inlet temperature, and calculate the second difference between it and the radiator outlet temperature; compare the first difference and the second difference with the corresponding difference thresholds respectively.

[0064] Step S207: If the first difference and / or the second difference are greater than or equal to the corresponding difference threshold, it is determined that the preset condition is not met, and step S208 is executed; if the first difference and the second difference are less than the corresponding difference threshold, it is determined that the preset condition is met, and step S209 is executed.

[0065] Step S208: Adjust the model parameters of the initial winding model, the initial oil tank model, and the initial radiator model to obtain the current winding model, the current oil tank model, and the current radiator model; update the initial winding inlet velocity and the initial winding inlet temperature based on the initial first ratio, and repeat step one.

[0066] Step S209: Obtain the target winding model, the target oil tank model, and the target radiator model; calculate the first temperature distribution data corresponding to the winding region and containing the spatial relationship between temperature and location based on the target winding model; calculate the second temperature distribution data corresponding to the oil tank region and containing the spatial relationship between temperature and location based on the target oil tank model; calculate the third temperature distribution data corresponding to the radiator region and containing the spatial relationship between temperature and location based on the target radiator model; obtain the target temperature distribution data of the target transformer based on the first temperature distribution data, the second temperature distribution data, and the third temperature distribution data.

[0067] If the preset conditions are not met, adjust the model parameters of the initial winding model, initial oil tank model, and initial radiator model to obtain the current winding model, current oil tank model, and current radiator model; update the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio; based on the updated current winding inlet velocity, current winding inlet temperature, and current first ratio, recalculate the current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity using the current winding model, current oil tank model, and current radiator model, until the current winding inlet temperature, current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity meet the preset conditions, and obtain the target winding model, target oil tank model, and target radiator model.

[0068] This application presents a method for calculating the temperature distribution of a natural oil circulation transformer. By establishing regional models for each area of ​​the target transformer and employing iterative solution / training, the method reduces the workload of model solving, improves model convergence, and calculates the overall temperature distribution of the transformer without compromising model accuracy. This solves the problem of inaccurate temperature calculations caused by traditional methods that rely on empirical references to set transformer oil flow velocity. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solution, addressing the limitations of traditional methods in considering the thermosiphon effect and further improving the accuracy of temperature distribution calculations.

[0069] Based on the above embodiments, the solution of the present invention will be described below in conjunction with specific application scenarios. One embodiment of the method for calculating the temperature distribution of a natural oil circulation transformer includes:

[0070] Step 1: Establish a two-dimensional axisymmetric or three-dimensional model of the winding structure. Set the winding inlet velocity and temperature using traditional empirical methods, and select the heat source and boundary conditions according to actual conditions. It should be noted that the inlet temperature of the winding model should be the same as the outlet temperature of the transformer radiator. Calculate the winding outlet temperature and velocity using the winding model based on the winding inlet velocity and temperature.

[0071] Step 2: Considering that the volume of the transformer main tank is much larger than the oil flow volume inside the main heat-generating windings, the insulating oil temperature in most areas of the transformer tank is the same as the radiator outlet temperature. Initial conditions for the tank model are then set accordingly. Without considering an accurate model of the transformer windings, the winding outlet velocity and temperature obtained in Step 1 are used as boundary conditions to establish the main tank model, where the heat-generating part is the iron core. After modeling and calculating this part, several sets of gradient-distributed oil flow velocities are set at the tank model inlet (equivalent to the radiator outlet). Simulations determine the first proportion of insulating oil flowing into the windings relative to the total tank inlet.

[0072] Step 3: Based on the accurate tank model established in Step 2 and the first proportion of insulating oil flowing into the winding to the total tank inlet, as well as the winding inlet velocity used in the calculation (equivalent to the tank outlet velocity), calculate the tank inlet velocity. Based on this tank inlet velocity, the winding model inlet temperature used in Step 1 (equivalent to the tank outlet temperature), and the accurate tank model without windings established in Step 3, set boundary conditions and heating elements consistent with actual conditions, and solve the tank model. After solving the tank model, the tank outlet temperature and outlet velocity can be obtained.

[0073] Step 4: Establish an accurate model of the radiator section, i.e., create the radiator model. Use the oil tank outlet temperature and velocity obtained in Step 3 as the radiator inlet temperature and velocity, and set boundary conditions and heat-generating elements that match the actual situation. Solving the radiator model will yield the radiator outlet temperature and velocity.

[0074] Step 5: Since the radiator outlet can be considered equivalent to the oil tank model inlet, the radiator outlet temperature and radiator outlet velocity obtained in Step 4 can be compared with the oil tank inlet temperature and oil tank inlet velocity used in Step 3 to obtain the difference. When both differences are less than the predetermined acceptable value, proceed to Step 6; otherwise, adjust the model parameters of the winding model, oil tank model, and radiator model respectively. At the same time, use the radiator outlet temperature and radiator outlet velocity obtained in Step 4 as the oil tank inlet temperature and oil tank inlet velocity, and combine them with the proportion of insulating oil flowing into the winding to the total oil tank inlet obtained in Step 3 to recalculate and determine the new winding inlet temperature and new winding inlet velocity. Repeat Steps 1 to 5.

[0075] Step 6: Input the temperature distribution of the winding part accurate model calculated in Step 1, the temperature distribution of the oil tank accurate model without winding part calculated in Step 3, and the temperature distribution of the radiator part accurate model calculated in Step 4 into the overall transformer model to obtain the temperature distribution of the natural oil circulation transformer.

[0076] The method in this invention establishes regional models for each area of ​​the target transformer and then employs iterative solution / training. This reduces the workload of model solving, improves model convergence, and solves for the overall temperature distribution of the transformer without compromising model accuracy. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solution, addressing the limitations of traditional calculation methods that cannot account for the thermosiphon effect, thus further improving the accuracy of temperature distribution calculation.

[0077] Another embodiment of the present invention provides a temperature distribution calculation device for a natural oil circulation transformer, such as... Figure 3 As shown, it includes:

[0078] Module 1 is established to create an initial winding model corresponding to the winding, an initial oil tank model without winding, and an initial radiator model based on the winding region, oil tank region, and radiator region of the target transformer, respectively.

[0079] Iterative training module 2 is used to train a target winding model, target oil tank model and target radiator model that meet preset conditions based on a predetermined initial winding inlet speed, a predetermined initial winding inlet temperature and an initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, using the initial winding model, the initial oil tank model without winding and the initial radiator model.

[0080] The calculation module 3 is used to calculate the temperature distribution data of the target transformer based on the target winding model, the target oil tank model and the target radiator model.

[0081] In this embodiment, the temperature distribution calculation device for a natural oil circulation transformer further includes a simulation module. The simulation module is used to simulate and obtain the initial first proportion of insulating oil flowing into the winding relative to the total inlet of the oil tank, based on the initial winding inlet velocity, the predetermined initial winding inlet temperature, and the initial winding model, before training the target winding model, target oil tank model, and target radiator model that meet the preset conditions using the initial winding model, the initial oil tank model without windings, and the initial radiator model.

[0082] In this embodiment, the simulation model is specifically used for: calculating the winding outlet temperature and winding outlet velocity based on the initial winding inlet velocity and initial winding inlet temperature using the winding model; adjusting the initial oil tank model based on the winding outlet temperature and winding outlet velocity as boundary conditions for the winding section; and setting several sets of oil tank inlet oil flow velocities with gradient distribution based on the adjusted initial oil tank model, and simulating to determine the initial first proportion.

[0083] In this embodiment, during specific implementation, the iterative training model is used to: calculate the tank inlet velocity based on the first ratio and the initial winding inlet velocity; calculate the tank outlet temperature and tank outlet velocity using the tank model based on the tank inlet velocity and the initial winding inlet temperature; calculate the radiator outlet velocity and radiator outlet temperature using the initial radiator model based on the tank outlet temperature and tank outlet velocity; determine whether the preset conditions are met based on the radiator outlet velocity, radiator outlet temperature, tank inlet velocity, and initial winding inlet temperature; and adjust the initial winding model and initial tank model if the preset conditions are not met. The model parameters of the initial radiator model are used to obtain the current winding model, the current oil tank model, and the current radiator model; the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio are updated; based on the updated current winding inlet velocity, current winding inlet temperature, and current first ratio, the current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity are recalculated using the current winding model, current oil tank model, and current radiator model until the current winding inlet temperature, current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity satisfy the preset conditions, thereby obtaining the target winding model, target oil tank model, and target radiator model.

[0084] This embodiment also includes an update module in its specific implementation. The iterative training model is used to update the initial winding inlet speed, the initial winding inlet temperature, and the initial first ratio. Specifically, it is used to: calculate the current winding inlet temperature and the current winding inlet speed based on the radiator outlet temperature and the radiator outlet speed, using the initial first ratio; and simulate and obtain the current first ratio corresponding to the current oil tank model based on the current winding inlet temperature, the current winding inlet speed, and the current winding model.

[0085] In this embodiment, when the iterative training module is used to determine whether the preset condition is met based on the radiator outlet speed, the radiator outlet temperature, the oil tank inlet speed, and the initial winding inlet temperature, it specifically performs the following steps: calculating a first difference between the oil tank inlet speed and the radiator outlet speed; using the initial winding inlet temperature as the oil tank inlet temperature, calculating a second difference between the oil tank inlet temperature and the radiator outlet temperature; comparing the first difference and the second difference with corresponding difference thresholds respectively; if both are less than the corresponding difference thresholds, it is determined that the preset condition is met; if the first difference and / or the second difference are greater than or equal to the corresponding difference thresholds, it is determined that the preset condition is not met.

[0086] In this embodiment, the calculation module is specifically used to: calculate and obtain first temperature distribution data corresponding to the winding region and including the spatial relationship between temperature and location based on the target winding model; calculate and obtain second temperature distribution data corresponding to the tank region and including the spatial relationship between temperature and location based on the target tank model; calculate and obtain third temperature distribution data corresponding to the radiator region and including the spatial relationship between temperature and location based on the target radiator model; and obtain the target temperature distribution data of the target transformer based on the first temperature distribution data, the second temperature distribution data, and the third temperature distribution data.

[0087] This invention discloses a temperature distribution calculation device for a natural oil circulation transformer. By establishing regional models for each area of ​​the target transformer and employing iterative solution / training, it reduces the workload of model solving, improves model convergence, and calculates the overall temperature distribution of the transformer without compromising model accuracy. This solves the problem of inaccurate temperature calculations caused by traditional methods that rely on empirical references to set transformer oil flow velocity. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solution, addressing the limitations of traditional methods in considering the thermosiphon effect and further improving the accuracy of temperature distribution calculations.

[0088] Another embodiment of the present invention provides an electronic device, the electronic device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors perform the following method steps:

[0089] Step 1: Based on the winding region, tank region, and radiator region of the target transformer, establish the initial winding model corresponding to the winding, the initial tank model without winding, and the initial radiator model respectively.

[0090] Step 2: Based on the predetermined initial winding inlet speed, predetermined initial winding inlet temperature, and the initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, the target winding model, target oil tank model, and target radiator model that meet the preset conditions are trained by using the initial winding model, the initial oil tank model without winding, and the initial radiator model.

[0091] Step 3: Based on the target winding model, target oil tank model, and target radiator model, calculate the temperature distribution data of the target transformer.

[0092] The specific implementation process of the above method steps can be found in any of the above embodiments of the temperature distribution calculation method for natural oil circulation transformers, and will not be repeated here.

[0093] This invention establishes regional models for each area of ​​the target transformer and then employs iterative solution / training. This reduces the workload of model solving, improves model convergence, and allows for the determination of the overall temperature distribution of the transformer without compromising model accuracy. It solves the problem of inaccurate temperature calculations caused by traditional methods that rely on empirical references to set transformer oil flow velocity. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solution, addressing the limitations of traditional methods in considering the thermosiphon effect and further improving the accuracy of temperature distribution calculations.

[0094] Another embodiment of the present invention provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the following method steps:

[0095] Step 1: Based on the winding region, tank region, and radiator region of the target transformer, establish the initial winding model corresponding to the winding, the initial tank model without winding, and the initial radiator model respectively.

[0096] Step 2: Based on the predetermined initial winding inlet speed, predetermined initial winding inlet temperature, and the initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, the target winding model, target oil tank model, and target radiator model that meet the preset conditions are trained by using the initial winding model, the initial oil tank model without winding, and the initial radiator model.

[0097] Step 3: Based on the target winding model, target oil tank model, and target radiator model, calculate the temperature distribution data of the target transformer.

[0098] The specific implementation process of the above method steps can be found in any of the above embodiments of the temperature distribution calculation method for natural oil circulation transformers, and will not be repeated here.

[0099] This invention establishes regional models for each area of ​​the target transformer and then employs iterative solution / training. This reduces the workload of model solving, improves model convergence, and allows for the determination of the overall temperature distribution of the transformer without compromising model accuracy. It solves the problem of inaccurate temperature calculations caused by traditional methods that rely on empirical references to set transformer oil flow velocity. Furthermore, the method in this application incorporates the thermosiphon effect through iterative solution, addressing the limitations of traditional methods in considering the thermosiphon effect and further improving the accuracy of temperature distribution calculations.

[0100] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A temperature distribution calculation method for a natural oil circulation type transformer, characterized by, include: Based on the winding region, tank region, and radiator region of the target transformer, an initial winding model corresponding to the winding, an initial tank model without winding, and an initial radiator model are established respectively. Based on the initial winding inlet velocity, the predetermined initial winding inlet temperature, and the initial winding model, the simulation obtains the initial first proportion of the insulating oil flowing into the winding relative to the total inlet of the oil tank, corresponding to the initial oil tank model. Based on the predetermined initial winding inlet speed, the predetermined initial winding inlet temperature, and the initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation, the target winding model, target oil tank model, and target radiator model that meet the preset conditions are trained by using the initial winding model, the initial oil tank model without winding, and the initial radiator model. Based on the target winding model, target oil tank model, and target radiator model, the temperature distribution data of the target transformer is calculated. The step of simulating and obtaining the initial first proportion of insulating oil flowing into the winding relative to the total inlet of the oil tank model, based on the initial winding inlet velocity, the predetermined initial winding inlet temperature, and the initial winding model, includes: Based on the initial winding inlet velocity and initial winding inlet temperature, the winding outlet temperature and winding outlet velocity are calculated using the winding model. Based on the winding outlet temperature and the winding outlet velocity as boundary conditions for the winding section, the initial oil tank model is adjusted; based on the adjusted initial oil tank model, several sets of oil tank inlet oil flow velocities with gradient distribution are set, and the initial first proportion is determined by simulation. The step of using the initial winding model, the initial fuel tank model without winding, and the initial radiator model, and training them iteratively to obtain the target winding model, the target fuel tank model, and the target radiator model that meet preset conditions includes: Based on the initial first ratio and the initial winding inlet velocity, the oil tank inlet velocity is calculated. Based on the oil tank inlet velocity and the initial winding inlet temperature, the oil tank outlet temperature and oil tank outlet velocity are calculated using the oil tank model. Based on the oil tank outlet temperature and the oil tank outlet velocity, the radiator outlet velocity and the radiator outlet temperature are calculated using the initial radiator model. Determine whether the preset conditions are met based on the radiator outlet speed, the radiator outlet temperature, the oil tank inlet speed, and the initial winding inlet temperature. If the preset conditions are not met, adjust the model parameters of the initial winding model, initial oil tank model, and initial radiator model to obtain the current winding model, current oil tank model, and current radiator model; update the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio; based on the updated current winding inlet velocity, current winding inlet temperature, and current first ratio, recalculate the current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity using the current winding model, current oil tank model, and current radiator model until the current winding inlet temperature, current oil tank inlet velocity, current radiator outlet temperature, and current radiator outlet velocity meet the preset conditions to obtain the target winding model, target oil tank model, and target radiator model.

2. The method of claim 1, wherein, The updating of the initial winding inlet speed, the initial winding inlet temperature, and the initial first ratio includes: Based on the radiator outlet temperature and the radiator outlet velocity, the current winding inlet temperature and the current winding inlet velocity are calculated using the initial first ratio. Based on the current winding inlet temperature, current winding inlet speed, and current winding model, the simulation obtains the current first scale corresponding to the current tank model.

3. The method of claim 1, wherein, The step of determining whether the preset conditions are met based on the radiator outlet velocity, the radiator outlet temperature, the oil tank inlet velocity, and the initial winding inlet temperature includes: Calculate the first difference between the inlet velocity of the oil tank and the outlet velocity of the radiator; The initial winding inlet temperature is used as the oil tank inlet temperature, and the second difference between it and the radiator outlet temperature is calculated. The first difference and the second difference are compared with the corresponding difference thresholds respectively. If both are less than the corresponding difference thresholds, it is determined that the preset condition is met. If the first difference and / or the second difference are greater than or equal to the corresponding difference threshold, it is determined that the preset condition is not met.

4. The method of claim 1, wherein, The calculation of the temperature distribution of the target transformer based on the target winding model, the target tank model, and the target radiator model includes: Based on the target winding model, the first temperature distribution data corresponding to the winding region, which includes the spatial relationship between temperature and location, is calculated. Based on the target fuel tank model, a second temperature distribution data corresponding to the fuel tank area, which includes the spatial relationship between temperature and location, is calculated. Based on the target radiator model, a third temperature distribution data corresponding to the radiator region, including the spatial relationship between temperature and location, is calculated. Based on the first temperature distribution data, the second temperature distribution data, and the third temperature distribution data, the target temperature distribution data of the target transformer is obtained.

5. A temperature distribution calculation device for a natural oil circulation transformer, characterized in that, include: A module is established to create an initial winding model corresponding to the winding, an initial oil tank model without winding, and an initial radiator model based on the winding region, oil tank region, and radiator region of the target transformer, respectively. The iterative training module is used to train a target winding model, a target oil tank model, and a target radiator model that meet preset conditions based on a predetermined initial winding inlet speed, a predetermined initial winding inlet temperature, and an initial first proportion of the insulating oil flowing into the winding corresponding to the initial oil tank model to the total inlet of the oil tank obtained by simulation. The module utilizes the initial winding model, the initial oil tank model without windings, and the initial radiator model to train the target winding model, the target oil tank model, and the target radiator model using an iterative training method. The calculation module is used to calculate the temperature distribution data of the target transformer based on the target winding model, the target oil tank model, and the target radiator model. The device is also used to: calculate the winding outlet temperature and winding outlet speed based on the initial winding inlet speed and initial winding inlet temperature using the winding model; Based on the winding outlet temperature and the winding outlet velocity as boundary conditions for the winding section, the initial oil tank model is adjusted; based on the adjusted initial oil tank model, several sets of oil tank inlet oil flow velocities with gradient distribution are set, and the initial first proportion is determined by simulation. The iterative training module is specifically used for: Based on the first ratio and the initial winding inlet velocity, the oil tank inlet velocity is calculated. Based on the oil tank inlet velocity and the initial winding inlet temperature, the oil tank outlet temperature and oil tank outlet velocity are calculated using the oil tank model. Based on the oil tank outlet temperature and the oil tank outlet velocity, the radiator outlet velocity and the radiator outlet temperature are calculated using the initial radiator model. Determine whether the preset conditions are met based on the radiator outlet speed, the radiator outlet temperature, the oil tank inlet speed, and the initial winding inlet temperature. If the preset conditions are not met, adjust the model parameters of the initial winding model, the initial oil tank model, and the initial radiator model to obtain the current winding model, the current oil tank model, and the current radiator model. Update the initial winding inlet velocity, the initial winding inlet temperature, and the initial first ratio; Based on the updated current winding inlet speed, current winding inlet temperature, and current first ratio, the current oil tank inlet speed, current radiator outlet temperature, and current radiator outlet speed are recalculated using the current winding model, current oil tank model, and current radiator model until the current winding inlet temperature, current oil tank inlet speed, current radiator outlet temperature, and current radiator outlet speed meet the preset conditions, thus obtaining the target winding model, target oil tank model, and target radiator model.

6. An electronic device, comprising: The electronic device includes: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the temperature distribution calculation method for a natural oil circulation transformer as described in any one of claims 1-4.

7. A storage medium containing computer-executable instructions, wherein: The computer-executable instructions, when executed by a computer processor, are used to perform the temperature distribution calculation method for a natural oil circulation transformer as described in any one of claims 1-4.