A transformer room ventilation and heat dissipation optimization method and system

Abstract

The application discloses a transformer room ventilation and heat dissipation optimization method and system, when receiving an optimization request and a corresponding initial ventilation and heat dissipation optimization table on an optimization page, determining an optimization item corresponding to the optimization request, analyzing the initial ventilation and heat dissipation optimization table, extracting a reference parameter and a parameter to be optimized, and screening a check parameter corresponding to the optimization item, determining a corresponding reference temperature value according to the reference parameter and a preset transformer room simulation model, adopting the check parameter, the transformer room simulation model and a preset optimization model to determine a corresponding check temperature value, an inlet air environment temperature value and a top layer oil temperature rise value, and determining a corresponding optimization scheme according to the check temperature value, the top layer oil temperature rise value, the reference temperature value and the inlet air environment temperature value and displaying the optimization scheme on the optimization page. The technical problem that a large amount of electric energy is consumed and the operation cost of the transformer room is increased by adding a temperature regulation device to regulate the temperature in the transformer substation is solved.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology, and in particular to a method and system for optimizing ventilation and heat dissipation in transformer rooms. Background Technology

[0002] In recent years, with the acceleration of urbanization and the continuous rise in urban electricity load, it has become necessary to build more substations in densely populated urban areas. Furthermore, due to increasingly scarce urban land, indoor substations have gradually become the main form of urban substations. Indoor substations house the main transformer and combined electrical equipment entirely indoors. Their advantages include a small footprint and effective control of transformer noise impact on the environment. However, in recent years, some indoor substations have experienced excessively high transformer temperatures during the hot summer months due to poor ventilation and heat exchange, jeopardizing the normal operation and lifespan of the transformers. Therefore, it is necessary to consider other physical cooling methods.

[0003] Currently, the method is to add an active temperature control device during operation to regulate the temperature inside the substation. However, the temperature control device consumes a lot of electrical energy during operation, which increases the operating cost of the transformer room. Summary of the Invention

[0004] This invention provides a method and system for optimizing ventilation and heat dissipation in transformer rooms, which solves the technical problem that current methods require the addition of an active temperature control device to regulate the temperature inside the substation, but the temperature control device consumes a lot of electrical energy during operation, increasing the operating cost of the transformer room.

[0005] The first aspect of this invention provides a method for optimizing ventilation and heat dissipation in a transformer room, comprising:

[0006] When an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization item corresponding to the optimization request is determined.

[0007] The initial ventilation and heat dissipation optimization table is analyzed to extract the baseline parameters and the parameters to be optimized.

[0008] Filter the verification parameters corresponding to the optimization project from the benchmark parameters and the parameters to be optimized;

[0009] Based on the aforementioned reference parameters and the preset transformer room simulation model, the corresponding reference temperature value is determined;

[0010] Using the aforementioned verification parameters, the transformer room simulation model, and the preset optimization model, the corresponding verification temperature value, air intake ambient temperature value, and top oil temperature rise value are determined.

[0011] Based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, the corresponding optimization scheme is determined and displayed on the optimization page.

[0012] Optionally, the step of determining the optimization item corresponding to the optimization request when an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page includes:

[0013] When an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization information of multiple items corresponding to the optimization request is extracted.

[0014] According to the project optimization information, query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table, and extract the optimization projects corresponding to the project optimization information.

[0015] Optionally, the step of parsing the initial ventilation and heat dissipation optimization table and extracting the baseline parameters and parameters to be optimized includes:

[0016] Query the target cell in the initial ventilation and heat dissipation optimization table that corresponds to the preset transformer room optimization project;

[0017] Extract the baseline parameters and parameters to be optimized from the target cell.

[0018] Optionally, the step of determining the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model includes:

[0019] The reference parameters are input into a preset transformer room simulation model to generate a corresponding temperature-airflow distribution map;

[0020] Select multiple reference monitoring temperature values ​​corresponding to preset monitoring points from the temperature-airflow distribution map;

[0021] The reference temperature values ​​are averaged to generate a reference temperature value.

[0022] Optionally, the step of determining the corresponding verification temperature value, inlet air ambient temperature value, and top oil temperature rise value using the verification parameters, the transformer room simulation model, and the preset optimization model includes:

[0023] The verification parameters are input into the transformer room simulation model to generate the corresponding verification temperature-airflow distribution diagram.

[0024] Select multiple verification monitoring temperature values ​​and the intake air ambient temperature value corresponding to the monitoring point from the verification temperature-airflow distribution diagram;

[0025] The average of all the aforementioned verification and monitoring temperature values ​​is used to generate the verification temperature value.

[0026] The verification parameters are input into a preset optimization model to generate the corresponding top oil temperature rise value.

[0027] Optionally, the step of determining the corresponding optimization scheme based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, and displaying it on the optimization page, includes:

[0028] The difference between the verification temperature value and the intake air ambient temperature value is processed to generate a first difference value;

[0029] Determine whether the first difference is less than or equal to the top oil temperature rise;

[0030] If the first difference is greater than the top layer temperature rise value, an optimization scheme based on the benchmark parameters is generated;

[0031] If the first difference is less than or equal to the top oil temperature rise, then determine whether the verification temperature value is less than the reference temperature value;

[0032] If the verification temperature value is less than the reference temperature value, an optimization plan based on the optimization project is generated.

[0033] If the verification temperature value is greater than or equal to the reference temperature value, an optimized solution based on the reference parameters is generated.

[0034] The optimization scheme is loaded into the feedback component within the optimization page, the feedback component is rendered, and an optimization page containing the optimization scheme is generated.

[0035] Optionally, the optimization model is specifically:

[0036]

[0037] θ ym =1.2θ y +Δτ m ;

[0038]

[0039] K h =h f / h s ;

[0040] Where, θ ym For the increase in top oil temperature, θ y K represents the average temperature rise of the oil. y q is the average temperature rise coefficient of the oil. yx For the thermal load of the oil tank, K h h is the ratio of the height of the heat-generating center to the height of the heat-dissipating center.f h is the height of the fever center. s Δτ is the height of the heat dissipation center. m This is the correction value for the top-level temperature rise.

[0041] A second aspect of the present invention provides a transformer room ventilation and heat dissipation optimization system, comprising:

[0042] The optimization project acquisition module is used to determine the optimization project corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page.

[0043] The parsing module is used to parse the initial ventilation and heat dissipation optimization table and extract the baseline parameters and the parameters to be optimized.

[0044] The filtering module is used to filter the verification parameters corresponding to the optimization project from the benchmark parameters and the parameters to be optimized;

[0045] The reference temperature acquisition module is used to determine the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model.

[0046] The optimization calculation module is used to determine the corresponding verification temperature value, air intake ambient temperature value, and top oil temperature rise value by using the verification parameters, the transformer room simulation model, and the preset optimization model.

[0047] The optimization scheme output module is used to determine the corresponding optimization scheme based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, and display it on the optimization page.

[0048] Optionally, the optimized project acquisition module includes:

[0049] The project optimization information submodule is used to extract multiple project optimization information corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page.

[0050] The optimization project extraction submodule is used to query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table according to the project optimization information, and extract the optimization projects corresponding to the project optimization information.

[0051] Optionally, the reference temperature acquisition module includes:

[0052] The distribution map acquisition submodule is used to input the reference parameters into a preset transformer room simulation model and generate the corresponding temperature-airflow distribution map;

[0053] The reference monitoring temperature acquisition submodule is used to select multiple reference monitoring temperature values ​​corresponding to preset monitoring points from the temperature-airflow distribution map;

[0054] The averaging submodule is used to average all the reference monitoring temperature values ​​to generate a reference temperature value.

[0055] As can be seen from the above technical solutions, the present invention has the following advantages:

[0056] When an optimization request and corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization items corresponding to the optimization request are determined. The initial ventilation and heat dissipation optimization table is parsed, and baseline parameters and parameters to be optimized are extracted. Verification parameters corresponding to the optimization items are selected from the baseline parameters and parameters to be optimized. Based on the baseline parameters and the preset transformer room simulation model, the corresponding baseline temperature value is determined. Using the verification parameters, the transformer room simulation model, and the preset optimization model, the corresponding verification temperature value, the inlet air temperature value, and the top oil temperature rise value are determined. Based on the verification temperature value, the top oil temperature rise value, the baseline temperature value, and the inlet air temperature value, the corresponding optimization scheme is determined and displayed on the optimization page. This solves the technical problem that current methods require the addition of an active temperature control device to regulate the temperature in the substation, but the temperature control device consumes a lot of electrical energy during operation, increasing the operating cost of the transformer room. This application extracts the corresponding baseline parameters and parameters to be optimized from the initial ventilation and heat dissipation optimization table, constructs transformer room simulation models under different operating conditions using the baseline parameters and parameters to be optimized, and analyzes the obtained simulation parameters to obtain the optimal optimization scheme. This improves the heat dissipation capacity of the transformer room without adding an active temperature control device. Attached Figure Description

[0057] 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.

[0058] Figure 1 This is a flowchart illustrating the steps of a method for optimizing ventilation and heat dissipation in a transformer room, as provided in Embodiment 1 of the present invention.

[0059] Figure 2 This is a flowchart illustrating the steps of a transformer room ventilation and heat dissipation optimization method provided in Embodiment 2 of the present invention.

[0060] Figure 3 This is a schematic diagram of the ventilation and heat dissipation structure of the main transformer room in a substation provided in Embodiment 2 of the present invention.

[0061] Figure 4 The streamline of airflow through the transformer provided in Embodiment 2 of the present invention Figure 1;

[0062] Figure 5 The streamline of airflow through the transformer provided in Embodiment 2 of the present invention Figure 2 ;

[0063] Figure 6 The streamline of airflow through the transformer provided in Embodiment 2 of the present invention Figure 3 ;

[0064] Figure 7 Temperature distribution on the upper surface of the transformer provided in Embodiment 2 of the present invention Figure 1 ;

[0065] Figure 8 Temperature distribution on the upper surface of the transformer provided in Embodiment 2 of the present invention Figure 2 ;

[0066] Figure 9 Temperature distribution on the upper surface of the transformer provided in Embodiment 2 of the present invention Figure 3 ;

[0067] Figure 10 This is a structural block diagram of a transformer room ventilation and heat dissipation optimization system provided in Embodiment 3 of the present invention.

[0068] The meanings of the reference numerals in the attached figures are as follows:

[0069] 1. Air inlet louvers for noise reduction; 2. Air outlet; 3. Main transformer; 4. Radiator; 5. Landscape opening. Detailed Implementation

[0070] This invention provides a method and system for optimizing ventilation and heat dissipation in transformer rooms, which solves the technical problem that current methods require an active temperature control device to regulate the temperature inside the substation, but this temperature control device consumes a lot of electrical energy during operation, increasing the operating cost of the transformer room.

[0071] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0072] Please see Figure 1 , Figure 1 The flowchart illustrates the steps of a method for optimizing ventilation and heat dissipation in a transformer room, as provided in Embodiment 1 of the present invention.

[0073] This invention provides a method for optimizing ventilation and heat dissipation in a transformer room, comprising:

[0074] Step 101: When an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, determine the optimization items corresponding to the optimization request.

[0075] An optimization request refers to a request sent to the optimization page to determine the corresponding optimization items based on the initial ventilation and heat dissipation optimization table.

[0076] The initial ventilation and heat dissipation optimization table refers to a table that contains multiple preset optimization items and the relevant parameter information corresponding to the preset optimization items.

[0077] In this embodiment of the invention, by optimizing the page response optimization request, the optimization item corresponding to the optimization request is determined from the received initial ventilation and heat dissipation optimization table according to the optimization request.

[0078] It should be noted that the optimized page is a web-based page developed using ASP.NET, which can be applied to web pages and browsers based on mobile hardware to realize interactive functions with users, and has high versatility and portability.

[0079] Step 102: Analyze the initial ventilation and heat dissipation optimization table and extract the baseline parameters and parameters to be optimized.

[0080] The baseline parameters refer to the geometric parameters and operating conditions of the main transformer compartment 3 in the substation before optimization. Among them, the geometric parameters include, but are not limited to, the height of the walls around the main transformer, the shape of the top of the walls around the main transformer, the distance between the front wall of the main transformer and the transformer, the area of ​​the air intake silencer louver 1, the installation position of the air intake silencer louver 1, the position of the landscape hole 5, and the opening and closing of the soundproof door. The operating conditions include, but are not limited to, the transformer operating ambient temperature and the peak temperature when the transformer temperature control protection is activated.

[0081] The parameters to be optimized refer to the geometric adjustment parameters, transformer operating parameters, and rated parameters of the main transformer room in the substation. Among these, the geometric adjustment parameters include, but are not limited to, the following adjustments based on the initial design distance: moving the front wall outward by 1 meter, maintaining a 1-meter distance between the firewall and the front wall, interconnecting the three main transformers; moving the front wall outward by 2 meters, maintaining a 2-meter distance between the firewall and the front wall, interconnecting the three main transformers; reducing one of the three sets of air intake silencer louvers to two sets; reducing two of the three sets of air intake silencer louvers to one set; adjusting the bottom of the air intake silencer louver to 0.3m from the ground; adjusting the bottom of the air intake silencer louver to 1.5m from the ground; adjusting the bottom of the air intake silencer louver to 2.5m from the ground; closing the soundproof door; and opening the soundproof door.

[0082] In this embodiment of the invention, the initial ventilation and heat dissipation optimization table is parsed, and then the corresponding baseline parameters and parameters to be optimized are extracted from the initial ventilation and heat dissipation optimization table for optimization analysis.

[0083] Step 103: Select the verification parameters corresponding to the optimization project from the baseline parameters and the parameters to be optimized.

[0084] In this embodiment of the invention, a corresponding verification parameter is selected from the baseline parameter and the parameter to be optimized based on the priority item.

[0085] Step 104: Determine the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model.

[0086] In this embodiment of the invention, the reference parameters are input into a preset transformer simulation model to generate corresponding temperature field and air flow field diagrams, and the corresponding reference temperature value is obtained from the temperature field diagram.

[0087] Step 105: Using the verification parameters, transformer room simulation model, and preset optimization model, determine the corresponding verification temperature value, air intake ambient temperature value, and top oil temperature rise value.

[0088] In this embodiment of the invention, the verification parameters are input into the transformer room simulation model and the preset optimization mode respectively to determine the corresponding verification temperature value, air intake ambient temperature value and top oil temperature rise value.

[0089] Step 106: Based on the calibration temperature value, top oil temperature rise value, reference temperature value, and intake air ambient temperature value, determine the corresponding optimization scheme and display it on the optimization page.

[0090] In this embodiment of the invention, the corresponding optimization scheme is determined and displayed on the optimization page based on the comparison results between the verification temperature value, the top oil temperature rise value, the reference temperature value and the intake air ambient temperature value.

[0091] In this embodiment of the invention, when an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization item corresponding to the optimization request is determined, the initial ventilation and heat dissipation optimization table is parsed, and baseline parameters and parameters to be optimized are extracted. Verification parameters corresponding to the optimization item are selected from the baseline parameters and parameters to be optimized. Based on the baseline parameters and a preset transformer room simulation model, the corresponding baseline temperature value is determined. Using the verification parameters, the transformer room simulation model, and the preset optimization model, the corresponding verification temperature value, the inlet air temperature value, and the top oil temperature rise value are determined. Based on the verification temperature value, the top oil temperature rise value, the baseline temperature value, and the inlet air temperature value, the corresponding optimization scheme is determined and displayed on the optimization page. This solves the technical problem that current methods require an active temperature control device to regulate the temperature within the substation, but this temperature control device consumes a large amount of electrical energy during operation, increasing the operating cost of the transformer room. This application extracts the corresponding baseline parameters and parameters to be optimized from the initial ventilation and heat dissipation optimization table, constructs a transformer room simulation model under different operating conditions using the baseline parameters and parameters to be optimized, and analyzes the obtained simulation parameters to obtain the optimal optimization scheme, thereby improving the heat dissipation capacity of the transformer room without adding an active temperature control device.

[0092] Please see Figure 2 , Figure 2 This is a flowchart illustrating the steps of a transformer room ventilation and heat dissipation optimization method provided in Embodiment 2 of the present invention.

[0093] This invention provides a method for optimizing ventilation and heat dissipation in a transformer room, comprising:

[0094] Step 201: When an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, determine the optimization items corresponding to the optimization request.

[0095] Further, step 201 includes the following sub-steps:

[0096] S11. When an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, extract the optimization information of multiple items corresponding to the optimization request.

[0097] In this embodiment of the invention, an optimization request can be generated on the optimization page as needed. When an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, multiple optimization information items corresponding to the optimization request are extracted.

[0098] It should be noted that the optimization parameters in the initial ventilation and heat dissipation optimization table are optimization parameters that meet the requirements of transformer room specifications and have been verified by technicians through experiments.

[0099] S12. Query multiple preset optimization items in the initial ventilation and heat dissipation optimization table according to the project optimization information, and extract the optimization items corresponding to the project optimization information.

[0100] In this embodiment of the invention, multiple preset optimization items in the initial ventilation and heat dissipation optimization table are indexed one by one according to the project optimization information, and the optimization items corresponding to the project optimization information are extracted.

[0101] Step 202: Analyze the initial ventilation and heat dissipation optimization table and extract the baseline parameters and parameters to be optimized.

[0102] Further, step 202 includes the following sub-steps:

[0103] S21. Query the target cell in the initial ventilation and heat dissipation optimization table that corresponds to the preset transformer room optimization project.

[0104] In this embodiment of the invention, the target cell in the initial ventilation and heat dissipation optimization table corresponds to the preset transformer room optimization project.

[0105] S22. Extract the baseline parameters and parameters to be optimized from the target cell.

[0106] In this embodiment of the invention, the baseline parameters and the parameters to be optimized within the target cell are extracted.

[0107] It should be noted that the parameters to be optimized also include transformer type (e.g., oil-immersed self-cooled type, flat tube radiator and plate type, oil-immersed air-cooled type radiator), heat load of the tank, heat dissipation center height (i.e., the height from the bottom of the tank to the center of the radiator), and heat generation center height (i.e., the height from the bottom of the tank to the center of the coil).

[0108] Step 203: Select the verification parameters corresponding to the optimization project from the baseline parameters and the parameters to be optimized.

[0109] In this embodiment of the invention, corresponding verification parameters are selected from the baseline parameters and the parameters to be optimized according to the optimization project.

[0110] In one embodiment, see Figure 3 As shown, for example, when the optimization project is to adjust the size of the air inlet silencer louver 1, the size of the air inlet silencer louver 1 is used as a keyword. A fuzzy recognition algorithm is used to filter out parameters unrelated to the size of the air inlet silencer louver from the baseline parameters as verification parameters, and parameters related to the size of the air inlet silencer louver from the parameters to be optimized as verification parameters. When the optimization project is to adjust the position of the air outlet 2, the air outlet 2 is used as a keyword. A fuzzy recognition algorithm is used to filter out parameters unrelated to the air outlet 2 from the baseline parameters as verification parameters, and parameters related to the air outlet 2 from the parameters to be optimized as verification parameters.

[0111] Step 204: Input the reference parameters into the preset transformer room simulation model to generate the corresponding temperature-airflow distribution map.

[0112] In the embodiments of the present invention, see Figure 3-9 As shown, the baseline parameters are input into the preset transformer simulation model to generate the corresponding temperature-airflow distribution diagram.

[0113] It should be noted that, for reference Figure 2-9 As shown, the transformer simulation model is constructed by acquiring parameters and building a 3D model of the substation in SpaceClaim software. The fillable gas area between the main transformer 3, radiator 4, and the surrounding walls is used as the calculation area for wind speed flow and temperature transfer. The established 3D model of the transformer room is then imported into ICEM software, and the calculation area is meshed using tetrahedral meshes. The meshed 3D model is then imported into Fluent software, and the calculation area is discretized using the finite volume method (FVM). According to the baseline parameters, the air inlet is set as the pressure inlet, and the air outlet 2 is set as the outflow outlet. Pressure and ambient temperature are also set. Considering both calculation accuracy and simulation time, the interpolation method for turbulence, momentum, and energy terms is the first-order upwind scheme, and the interpolation method for pressure terms is the Body Force Weighted scheme. The indoor flow field is solved using the SIMPLE algorithm based on the pressure coupling principle to obtain the temperature-airflow distribution map.

[0114] Step 205: Select multiple reference monitoring temperature values ​​corresponding to the preset monitoring points from the temperature-airflow distribution map.

[0115] In this embodiment of the invention, five benchmark monitoring temperature values ​​corresponding to preset monitoring points are obtained from the temperature-airflow distribution map.

[0116] It should be noted that the baseline monitoring temperature values ​​are the temperature values ​​at the 1st, 2nd, 3rd, 4th, and 5th monitoring points on the upper surface of the transformer in the temperature-airflow distribution diagram generated under the baseline parameters.

[0117] Step 206: Average all the reference monitoring temperature values ​​to generate a reference temperature value.

[0118] In this embodiment of the invention, to facilitate the implementation of the method, the above process can be converted into a formulaic form, and the expression for the reference temperature value is:

[0119]

[0120] Among them, T averageT1 is the reference monitoring temperature value at the first monitoring point, T2 is the reference monitoring temperature value at the second monitoring point, T3 is the reference monitoring temperature value at the third monitoring point, T4 is the reference monitoring temperature value at the fourth monitoring point, and T5 is the reference monitoring temperature value at the fifth monitoring point.

[0121] Step 207: Using the verification parameters, transformer room simulation model, and preset optimization model, determine the corresponding verification temperature value, air intake ambient temperature value, and top oil temperature rise value.

[0122] Furthermore, step 207 includes the following sub-steps:

[0123] S31. Input the verification parameters into the transformer room simulation model to generate the corresponding verification temperature-airflow distribution diagram.

[0124] In the embodiments of the present invention, please refer to Figure 3-9 The verification parameters are input into the transformer room simulation model to generate the corresponding verification temperature-airflow distribution diagram.

[0125] S32. Select multiple verification monitoring temperature values ​​and intake ambient temperature values ​​corresponding to the monitoring points from the verification temperature-airflow distribution diagram.

[0126] In this embodiment of the invention, multiple verification monitoring temperature values ​​and intake ambient temperature values ​​corresponding to the monitoring points are selected from the verification temperature-airflow distribution diagram.

[0127] It should be noted that the temperature-airflow distribution diagram is a streamline diagram of airflow through the transformer and a temperature distribution diagram on the upper surface of the transformer.

[0128] S33. Average all the temperature values ​​monitored for verification to generate the verification temperature value.

[0129] In this embodiment of the invention, the average of all the verification and monitoring temperature values ​​is calculated to generate the verification temperature value.

[0130] S34. Input the verification parameters into the preset optimization model to generate the corresponding top oil temperature rise value.

[0131] The optimization model is as follows:

[0132]

[0133] θ ym =1.2θ y +Δτ m ;

[0134]

[0135] K h =hf / h s ;

[0136] Where, θ ym For the increase in top oil temperature, θ y K represents the average temperature rise of the oil. y q is the average temperature rise coefficient of the oil. yx For the thermal load of the oil tank, K h h is the ratio of the height of the heat-generating center to the height of the heat-dissipating center. f h is the height of the fever center. s Δτ is the height of the heat dissipation center. m This is the correction value for the top-level temperature rise.

[0137] It should be noted that the average oil temperature rise coefficient is determined according to the transformer type. For oil-immersed self-cooled transformers, the coefficient is 0.262, and for flat tube radiators and plate radiators, the coefficient is 0.16.

[0138] In this embodiment of the invention, the verification parameters are input into a preset optimization model to generate the top oil temperature rise value corresponding to the optimization project.

[0139] In another embodiment, the verification parameters are input into a preset optimization model to generate the corresponding top oil temperature rise value. It is determined whether the top oil temperature rise value is less than or equal to the peak temperature of the transformer temperature control protection in the verification parameters. If the top oil temperature rise value is less than or equal to the peak temperature of the transformer temperature control protection in the verification parameters, then step 208 is executed. If the top oil temperature rise value is greater than the peak temperature of the transformer temperature control protection in the verification parameters, then an optimization scheme based on the benchmark parameters is generated.

[0140] Step 208: Based on the calibration temperature value, top oil temperature rise value, reference temperature value, and intake air ambient temperature value, determine the corresponding optimization scheme and display it on the optimization page.

[0141] Furthermore, step 208 includes the following sub-steps:

[0142] S41. Perform difference processing on the verification temperature value and the intake air ambient temperature value to generate the first difference value.

[0143] In this embodiment of the invention, a first difference between the verification temperature value and the intake air ambient temperature value is calculated.

[0144] S42. Determine whether the first difference is less than or equal to the top oil temperature rise.

[0145] In this embodiment of the invention, it is determined whether the first difference is less than or equal to the temperature rise of the top layer oil.

[0146] S43. If the first difference is greater than the top layer temperature rise value, an optimized scheme based on the benchmark parameters is generated. In this embodiment of the invention, when the first difference is greater than the top layer temperature rise value, an optimized scheme based on the benchmark parameters is generated.

[0147] S44. If the first difference is less than or equal to the top oil temperature rise, then determine whether the verification temperature value is less than the reference temperature value.

[0148] In this embodiment of the invention, when the first difference is less than or equal to the top oil temperature rise, it is determined whether the verification temperature value is less than the reference temperature value.

[0149] S45. If the verification temperature value is less than the reference temperature value, an optimization plan based on the optimization project will be generated.

[0150] In this embodiment of the invention, when the verification temperature value is less than the reference temperature value, an optimization scheme based on the optimization project is generated.

[0151] S46. If the verification temperature value is greater than or equal to the reference temperature value, an optimization scheme based on the reference parameters will be generated.

[0152] In this embodiment of the invention, when the verification temperature value is greater than or equal to the reference temperature value, an optimized scheme based on the reference parameters is generated.

[0153] It should be noted that by analyzing the temperature-airflow field distribution diagram generated by the calibration parameters and the baseline temperature value generated by the baseline parameters, it is determined whether the calibration parameters corresponding to the optimization project can achieve the optimization effect. If they can achieve the optimization effect, the baseline parameters are adjusted to the calibration parameters; if they cannot achieve the optimization effect, the baseline parameters are retained.

[0154] S47. Load the optimization plan into the feedback component within the optimization page, render the feedback component, and generate an optimization page containing the optimization plan.

[0155] In this embodiment of the invention, the optimization scheme is loaded into the feedback component within the optimization page, and the optimization page containing the optimization scheme is generated by rendering the feedback component.

[0156] In another embodiment, multiple verification parameters are input into the transformer room simulation model one by one to generate multiple corresponding temperature-airflow distribution maps. The average temperature on the surface of the main transformer 3 is compared with the temperature-airflow distribution maps corresponding to different verification parameters. The optimization scheme with the minimum average temperature is selected and displayed on the optimization page.

[0157] In this embodiment of the invention, when an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization item corresponding to the optimization request is determined, the initial ventilation and heat dissipation optimization table is parsed, and baseline parameters and parameters to be optimized are extracted. Verification parameters corresponding to the optimization item are selected from the baseline parameters and parameters to be optimized. Based on the baseline parameters and a preset transformer room simulation model, the corresponding baseline temperature value is determined. Using the verification parameters, the transformer room simulation model, and the preset optimization model, the corresponding verification temperature value, the inlet air temperature value, and the top oil temperature rise value are determined. Based on the verification temperature value, the top oil temperature rise value, the baseline temperature value, and the inlet air temperature value, the corresponding optimization scheme is determined and displayed on the optimization page. This solves the technical problem that current methods require an active temperature control device to regulate the temperature within the substation, but this temperature control device consumes a large amount of electrical energy during operation, increasing the operating cost of the transformer room. This application extracts the corresponding baseline parameters and parameters to be optimized from the initial ventilation and heat dissipation optimization table, constructs a transformer room simulation model under different operating conditions using the baseline parameters and parameters to be optimized, and analyzes the obtained simulation parameters to obtain the optimal optimization scheme, thereby improving the heat dissipation capacity of the transformer room without adding an active temperature control device.

[0158] Please see Figure 10 , Figure 10 This is a structural block diagram of a transformer room ventilation and heat dissipation optimization system provided in Embodiment 3 of the present invention.

[0159] This invention provides a transformer room ventilation and heat dissipation optimization system, comprising:

[0160] The optimization project acquisition module 301 is used to determine the optimization project corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page.

[0161] The parsing module 302 is used to parse the initial ventilation and heat dissipation optimization table and extract the baseline parameters and the parameters to be optimized.

[0162] The filtering module 303 is used to filter the verification parameters corresponding to the optimization project from the baseline parameters and the parameters to be optimized.

[0163] The reference temperature acquisition module 304 is used to determine the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model.

[0164] The optimization calculation module 305 is used to determine the corresponding verification temperature value, air intake ambient temperature value and top oil temperature rise value by using verification parameters, transformer room simulation model and preset optimization model;

[0165] The optimization scheme output module 306 is used to determine the corresponding optimization scheme based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, and display it on the optimization page.

[0166] Furthermore, the project acquisition module 301 has been optimized, including:

[0167] The Project Optimization Information Submodule is used to extract multiple project optimization information corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page.

[0168] The optimization project extraction submodule is used to query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table according to the project optimization information, and extract the optimization projects corresponding to the project optimization information.

[0169] Furthermore, the parsing module 302 includes:

[0170] The Project Priority Information submodule is used to extract multiple project optimization information corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page.

[0171] The project optimization submodule is used to query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table according to the project optimization information, and extract the optimization projects corresponding to the project optimization information.

[0172] Furthermore, the reference temperature acquisition module 304 includes:

[0173] The distribution map acquisition submodule is used to input the reference parameters into the preset transformer room simulation model and generate the corresponding temperature-airflow distribution map;

[0174] The reference monitoring temperature acquisition submodule is used to select multiple reference monitoring temperature values ​​corresponding to preset monitoring points from the temperature-airflow distribution map;

[0175] The averaging submodule is used to average all the reference monitoring temperature values ​​to generate a reference temperature value.

[0176] Furthermore, the computing module 305 is optimized, including:

[0177] The distribution map submodule is used to input the verification parameters into the transformer room simulation model and generate the corresponding verification temperature-airflow distribution map;

[0178] The monitoring point submodule is used to select multiple calibration monitoring temperature values ​​and inlet ambient temperature values ​​corresponding to the monitoring points from the calibration temperature-airflow distribution map.

[0179] The temperature verification submodule is used to average all the temperature values ​​monitored for verification and generate a temperature verification value.

[0180] The top-level oil temperature rise submodule is used to input the verification parameters into the preset optimization model and generate the corresponding top-level oil temperature rise value.

[0181] Furthermore, the optimized solution output module 306 includes:

[0182] The first difference submodule is used to perform difference processing between the verification temperature value and the inlet air ambient temperature value to generate the first difference;

[0183] The judgment and analysis submodule is used to determine whether the first difference is less than or equal to the top oil temperature rise.

[0184] If the first difference is greater than the top temperature rise value, an optimized scheme based on the baseline parameters is generated.

[0185] If the first difference is less than or equal to the top oil temperature rise, then determine whether the verification temperature value is less than the reference temperature value.

[0186] If the verification temperature value is lower than the reference temperature value, an optimization plan based on the optimization project will be generated.

[0187] If the verification temperature value is greater than or equal to the reference temperature value, an optimized solution based on the reference parameters will be generated.

[0188] The optimization solution display submodule is used to load the optimization solution into the feedback component within the optimization page, render the feedback component, and generate an optimization page containing the optimization solution.

[0189] Furthermore, the optimization model is specifically as follows:

[0190]

[0191] θ ym =1.2θ y +Δτ m ;

[0192]

[0193] K h =h f / h s ;

[0194] Where, θ ym For the increase in top oil temperature, θ y K represents the average temperature rise of the oil. y q is the average temperature rise coefficient of the oil. yx For the thermal load of the oil tank, K h h is the ratio of the height of the heat-generating center to the height of the heat-dissipating center. f h is the height of the fever center. s Δτ is the height of the heat dissipation center.m This is the correction value for the top-level temperature rise.

[0195] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0196] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0197] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing ventilation and heat dissipation in a transformer room, characterized in that, include: When an optimization request and a corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization item corresponding to the optimization request is determined. The initial ventilation and heat dissipation optimization table is analyzed to extract the baseline parameters and the parameters to be optimized. Filter the verification parameters corresponding to the optimization project from the benchmark parameters and the parameters to be optimized; Based on the aforementioned reference parameters and the preset transformer room simulation model, the corresponding reference temperature value is determined; The corresponding verification temperature value and air intake ambient temperature value are determined using the aforementioned verification parameters and the transformer room simulation model. The corresponding top oil temperature rise is determined using the aforementioned verification parameters and the preset optimization model; Based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, the corresponding optimization scheme is determined and displayed on the optimization page; The step of determining the corresponding optimization scheme based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, and displaying it on the optimization page, includes: The difference between the verification temperature value and the intake air ambient temperature value is processed to generate a first difference value; Determine whether the first difference is less than or equal to the top oil temperature rise; If the first difference is greater than the top oil temperature rise, an optimized scheme based on the benchmark parameters is generated. If the first difference is less than or equal to the top oil temperature rise, then determine whether the verification temperature value is less than the reference temperature value; If the verification temperature value is less than the reference temperature value, an optimization plan based on the optimization project is generated. If the verification temperature value is greater than or equal to the reference temperature value, an optimized solution based on the reference parameters is generated. The optimization scheme is loaded into the feedback component within the optimization page, the feedback component is rendered, and an optimization page containing the optimization scheme is generated.

2. The method for optimizing ventilation and heat dissipation in a transformer room according to claim 1, characterized in that, The step of determining the optimization item corresponding to the optimization request when receiving an optimization request and a corresponding initial ventilation and heat dissipation optimization table on the optimization page includes: When an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page, the optimization information of multiple items corresponding to the optimization request is extracted. According to the project optimization information, query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table, and extract the optimization projects corresponding to the project optimization information.

3. The method for optimizing ventilation and heat dissipation in a transformer room according to claim 1, characterized in that, The steps of parsing the initial ventilation and heat dissipation optimization table and extracting the baseline parameters and parameters to be optimized include: Query the target cell in the initial ventilation and heat dissipation optimization table that corresponds to the preset transformer room optimization project; Extract the baseline parameters and parameters to be optimized from the target cell.

4. The method for optimizing ventilation and heat dissipation in a transformer room according to claim 1, characterized in that, The step of determining the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model includes: The reference parameters are input into a preset transformer room simulation model to generate a corresponding temperature-airflow distribution map; Select multiple reference monitoring temperature values ​​corresponding to preset monitoring points from the temperature-airflow distribution map; The reference temperature values ​​are averaged to generate a reference temperature value.

5. The method for optimizing ventilation and heat dissipation in a transformer room according to claim 4, characterized in that, The corresponding verification temperature value and air intake ambient temperature value are determined using the verification parameters and the transformer room simulation model. The steps for determining the corresponding top-layer oil temperature rise using the aforementioned verification parameters and a preset optimization model include: The verification parameters are input into the transformer room simulation model to generate the corresponding verification temperature-airflow distribution diagram. Select multiple verification monitoring temperature values ​​and the intake air ambient temperature value corresponding to the monitoring point from the verification temperature-airflow distribution diagram; The average of all the aforementioned verification and monitoring temperature values ​​is used to generate the verification temperature value. The verification parameters are input into a preset optimization model to generate the corresponding top oil temperature rise value.

6. The method for optimizing ventilation and heat dissipation in a transformer room according to claim 1, characterized in that, The optimization model is specifically as follows: ； ； ； ； in, To increase the temperature of the top layer of oil, This represents the average temperature rise of the oil. The average temperature rise coefficient of the oil. For the thermal load of the fuel tank, This is the ratio of the height of the heat-generating center to the height of the heat-dissipating center. The height of the fever center, The height of the heat dissipation center. This is the correction value for the top-level temperature rise.

7. A transformer room ventilation and heat dissipation optimization system, used to implement the transformer room ventilation and heat dissipation optimization method according to any one of claims 1-6, characterized in that, include: The optimization project acquisition module is used to determine the optimization project corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page. The parsing module is used to parse the initial ventilation and heat dissipation optimization table and extract the baseline parameters and the parameters to be optimized. The filtering module is used to filter the verification parameters corresponding to the optimization project from the benchmark parameters and the parameters to be optimized; The reference temperature acquisition module is used to determine the corresponding reference temperature value based on the reference parameters and the preset transformer room simulation model. The optimization calculation module is used to determine the corresponding verification temperature value, air intake ambient temperature value, and top oil temperature rise value by using the verification parameters, the transformer room simulation model, and the preset optimization model. The optimization scheme output module is used to determine the corresponding optimization scheme based on the verification temperature value, the top oil temperature rise value, the reference temperature value, and the intake air ambient temperature value, and display it on the optimization page.

8. The transformer room ventilation and heat dissipation optimization system according to claim 7, characterized in that, The optimization project acquisition module includes: The project optimization information submodule is used to extract multiple project optimization information corresponding to the optimization request when an optimization request and the corresponding initial ventilation and heat dissipation optimization table are received on the optimization page. The optimization project extraction submodule is used to query multiple preset optimization projects in the initial ventilation and heat dissipation optimization table according to the project optimization information, and extract the optimization projects corresponding to the project optimization information.

9. The transformer room ventilation and heat dissipation optimization system according to claim 7, characterized in that, The reference temperature acquisition module includes: The distribution map acquisition submodule is used to input the reference parameters into a preset transformer room simulation model and generate the corresponding temperature-airflow distribution map; The reference monitoring temperature acquisition submodule is used to select multiple reference monitoring temperature values ​​corresponding to preset monitoring points from the temperature-airflow distribution map; The averaging submodule is used to average all the reference monitoring temperature values ​​to generate a reference temperature value.

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