Transformer capacity detection method, system, device and storage medium

Abstract

The embodiment of the present invention discloses a transformer capacity detection method, system, device and storage medium, which belongs to the technical field of transformers; the method includes obtaining the actual power parameters of the transformer to be tested; adjusting the test circuit parameters and the external voltage parameters of the short-circuit temperature rise test circuit according to the actual power parameters, and processing to obtain the test temperature parameters; using the configured transformer heat transfer calculation model to calculate the nameplate electrical parameters of the transformer to be tested, and obtain the calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual power parameters and the test temperature parameters; comparing the calculated temperature curve with the test temperature parameters, and obtaining the capacity detection result of the transformer to be tested. The test temperature parameters do not need to refer to any parameters on the nameplate of the transformer to be tested, which improves the authenticity of the test temperature parameters and the accuracy of the detection results.

Description

Technical Field

[0001] The present invention relates to the technical field of transformers, and in particular to a transformer capacity detection method, system, device and storage medium. Background Art

[0002] Transformers are an important part of the power system and play a vital role in power generation, transmission, and distribution. The capacity of the transformer is the main parameter of the transformer, which is used to characterize the operating efficiency and performance of the transformer. Since the transformer will be charged extra according to the capacity of the transformer when it is connected to the grid, some users use methods such as replacing the nameplate and underreporting the capacity to deceive the power supply company, causing great losses to the power grids in various regions. In addition, if the capacity parameters on the transformer nameplate are inaccurate, it is easy to cause losses and safety risks to the user.

[0003] In the prior art, the capacity of the transformer is often determined by comparing it with the transformer manufacturing standard and using some parameters on the transformer nameplate in combination with no-load tests and load tests. Since the accuracy of the data on the nameplate is difficult to guarantee, the accuracy of the test results is reduced. Summary of the invention

[0004] In view of this, the present invention provides a transformer capacity detection method, system, device and storage medium, which are used to solve the problem of low transformer capacity detection accuracy in the prior art. In order to achieve one or part or all of the above purposes or other purposes, the present invention proposes a transformer capacity detection method, system, device and storage medium, in the first aspect:

[0005] A transformer capacity detection method, comprising:

[0006] Obtain the actual power supply parameters of the transformer with the capacity to be tested;

[0007] According to the actual power parameters, the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit are adjusted to obtain the test temperature parameters;

[0008] The nameplate electrical parameters of the transformer to be tested are calculated using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters;

[0009] The calculated temperature curve is compared with the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be tested.

[0010] Preferably, before calculating the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve, the method further includes:

[0011] Retrieving the transformer heat transfer calculation model that has been configured to match the actual power generation parameters and the test temperature parameters;

[0012] Or the transformer heat transfer calculation model to be configured is configured using the actual power parameters and the test temperature parameters.

[0013] Preferably, the step of configuring the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters includes:

[0014] The copper loss parameter and the iron loss parameter of the heat source model in the transformer heat transfer calculation model to be configured are calculated using the actual power parameters;

[0015] The heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured is calculated using the test temperature parameter;

[0016] The transformer heat transfer calculation model is configured based on the operational relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model.

[0017] Preferably, after configuring the transformer heat transfer calculation model based on the operational relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, the method further comprises:

[0018] Calculating the test temperature parameters using the configured transformer heat transfer calculation model to obtain calculated temperature parameters;

[0019] Comparing the calculated temperature parameter with the test temperature parameter to obtain a correction factor parameter;

[0020] The transformer heat transfer calculation model after correction and assignment of the correction factor parameters is used to determine whether the configuration of the transformer heat transfer calculation model is completed.

[0021] Preferably, the step of using the test temperature parameter to calculate the heat dissipation power parameter of the heat dissipation model to be configured in the transformer heat transfer calculation model comprises:

[0022] Obtaining cooling equipment information of the capacity transformer to be tested;

[0023] Acquire the heat dissipation parameters of the transformer with the capacity to be tested according to the cooling equipment information;

[0024] The heat dissipation power parameter is calculated using the heat dissipation parameter.

[0025] Preferably, after comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested, the method further includes:

[0026] When the capacity detection result is unqualified, the corrected capacity parameter of the transformer to be tested is calculated using the test temperature curve, the volume parameter of the transformer to be tested, the weight parameter of the transformer to be tested and the heat dissipation power parameter.

[0027] Preferably, the test temperature parameters include test top oil temperature parameters, test winding temperature parameters and test core temperature parameters;

[0028] The test winding temperature parameter is obtained by summing the test top layer oil temperature parameter and the copper-oil temperature difference parameter of the transformer with the capacity to be tested.

[0029] Second aspect:

[0030] A transformer capacity detection system includes an acquisition module for acquiring actual power parameters of a capacity transformer to be tested;

[0031] An experimental parameter module, used to adjust the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit according to the actual electrical parameters, and process to obtain the test temperature parameters;

[0032] A temperature calculation module is used to calculate the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters;

[0033] The detection module is used to compare the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer with the capacity to be tested.

[0034] Preferably, the system further comprises a calling module, which is used to call the configured transformer heat transfer calculation model that matches the actual power parameters and the test temperature parameters before calculating the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain the calculated temperature curve;

[0035] Or a configuration module, used to configure the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters.

[0036] Preferably, the configuration module includes a parameter calculation unit, which is used to calculate the copper loss parameters and iron loss parameters of the heat source model in the transformer heat transfer calculation model to be configured by using the actual power parameters;

[0037] A heat dissipation parameter unit, used to calculate the heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured by using the test temperature parameter;

[0038] The configuration unit is used to configure the transformer heat transfer calculation model based on the calculation relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model.

[0039] Preferably, the configuration module further includes a temperature calculation unit, which is used to calculate the test temperature parameter using the configured transformer heat transfer calculation model after configuring the transformer heat transfer calculation model based on the operational relationship between the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, so as to obtain a calculated temperature parameter;

[0040] A factor calculation unit, used to obtain a correction factor parameter by comparing the calculation temperature parameter with the test temperature parameter;

[0041] The correction unit is used to correct the configured transformer heat transfer calculation model by using the correction factor parameters to determine whether the configuration of the transformer heat transfer calculation model is completed.

[0042] Preferably, the heat dissipation parameter unit includes a cooling device subunit, which is used to obtain cooling device information of the capacity transformer to be tested;

[0043] A heat dissipation parameter subunit, used for obtaining the heat dissipation parameter of the transformer with the capacity to be tested according to the cooling device information;

[0044] The heat dissipation calculation subunit is used to calculate the heat dissipation power parameter using the heat dissipation parameter.

[0045] Preferably, the system also includes a capacity correction module, which is used to calculate the corrected capacity parameters of the transformer to be tested by using the test temperature curve, the volume parameter of the transformer to be tested, the weight parameter of the transformer to be tested and the heat dissipation power parameter after comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested, when the capacity detection result is unqualified.

[0046] Preferably, the test temperature parameters include test top oil temperature parameters, test winding temperature parameters and test core temperature parameters;

[0047] The test winding temperature parameter is obtained by summing the test top layer oil temperature parameter and the copper-oil temperature difference parameter of the transformer with the capacity to be tested.

[0048] The third aspect:

[0049] A transformer capacity detection device comprises a memory and a processor, wherein a transformer capacity detection method is stored in the memory, and the processor is used to adopt the above-mentioned transformer capacity detection method when executing the transformer capacity detection method.

[0050] Fourth aspect:

[0051] A storage medium stores a computer program that can be loaded by a processor and execute the above method.

[0052] Implementing the embodiments of the present invention will have the following beneficial effects:

[0053] The actual electrical parameters are obtained by collecting the electrical parameters of the transformer to be tested on site, and the short-circuit temperature rise test is performed using the actual electrical parameters to measure the test temperature parameters. The test temperature parameters do not need to refer to any parameters on the nameplate of the transformer to be tested, which improves the authenticity of the test temperature parameters. Then, the nameplate electrical parameters on the nameplate of the transformer to be tested are calculated using the transformer heat transfer calculation model, and the calculated temperature curve is compared with the test temperature parameters to obtain the capacity detection result, completing the capacity detection of the transformer to be tested. Since the test temperature parameters are not easily affected by the electrical parameters on the nameplate, the accuracy of the test results is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] in:

[0056] Figure 1 The figure is a flow chart of a transformer capacity detection method in one embodiment.

[0057] Figure 2 The present invention is a flow chart of configuring a transformer heat transfer calculation model in a transformer capacity detection method in one embodiment.

[0058] Figure 3 FIG. 4 is a structural block diagram of a transformer capacity detection system in one embodiment.

[0059] Figure 4 Schematic diagram of the structure of a transformer capacity detection device in one embodiment. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0063] The embodiment of the present application provides a method for detecting the capacity of a transformer. In the prior art, it is necessary to refer to some parameters on the transformer nameplate when detecting the capacity of the transformer. However, since the nameplate of the transformer is easy to replace, the parameters on the nameplate are not credible and the accuracy is reduced, thus affecting the accuracy of the transformer capacity detection result.

[0064] In order to overcome the above technical defects, the embodiment of the present application provides a transformer capacity detection method. Since each capacity level of the transformer corresponds to different heat generation and heat dissipation capabilities, transformers of different capacities will exhibit different temperature characteristics under rated conditions or overload conditions. The manifestation process of this characteristic depends on the electrical parameter design and thermal structure design of the transformer, which is closely related to the actual capacity of the transformer. That is, the heat generation and heat dissipation capabilities of the transformer limit the rated capacity of the transformer to a specific range. Based on this principle, the detection method in this embodiment is as follows: Figure 1 As shown, including:

[0065] 101. Obtain the actual power parameters of the transformer with the capacity to be tested.

[0066] Among them, the actual power parameters refer to the actual power parameters of the capacity transformer to be measured. For ease of understanding, in one embodiment, the actual power parameters are obtained by temporarily measuring the capacity transformer to be measured on site. In another embodiment, the actual power parameters are power parameters pre-stored in a storage device, but the power parameters in the storage device are obtained by testing, calculating or measuring the capacity transformer to be measured. That is, the actual power parameters are not obtained by relying on the known parameters of the capacity transformer to be measured, but are obtained through actual collection.

[0067] In one embodiment, the actual power parameters are transmitted to the current execution subject by other transmission equipment through an interface. In another embodiment, the actual power parameters are obtained by the current execution subject controlling the test equipment and / or the measuring equipment. This embodiment does not specifically limit this.

[0068] 102. According to the actual electrical parameters, the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit are adjusted to obtain the test temperature parameters.

[0069] Among them, the short-circuit temperature rise test circuit refers to the circuit used in the short-circuit temperature rise test. The test temperature parameters of the capacity transformer to be tested are measured by the short-circuit temperature rise test. In one embodiment, the test temperature parameters include top oil temperature parameters, test winding temperature parameters and test core temperature parameters. In another embodiment, the test temperature parameters also include at least one of the air cooling wind speed parameters, oil cooler inlet and outlet oil temperature parameters and cooling water temperature parameters.

[0070] In one embodiment, the current execution subject searches the parameter adjustment table for the corresponding test circuit parameters according to the actual values ​​of the actual power parameters according to the preset parameter adjustment table. After obtaining the test circuit parameters, the short-circuit temperature rise test circuit is configured. In one embodiment, the applied voltage parameter is a preset value; in another embodiment, the applied voltage parameter is transmitted to the current execution subject through an interactive device.

[0071] In one application scenario, in a short-circuit temperature rise test, after adjusting the external voltage parameters, the power of the transformer to be tested is equal to the sum of the no-load loss and the short-circuit loss. At this time, the test top oil temperature parameter is measured by a resistance thermometer or a pressure thermometer; the test core temperature parameter is measured by a pre-buried temperature measuring element; the test winding temperature parameter is obtained by summing the test top oil temperature parameter and the copper-oil temperature difference parameter of the transformer to be tested. Specifically, the test winding temperature parameter Tw is calculated according to the following formula:

[0072] T w =T o +k*△T wo ;

[0073] Among them, T w is the test winding temperature parameter; T o is the test top oil temperature parameter; k is the heat transfer coefficient; △T wo is the copper-oil temperature difference parameter, which is proportional to the square of the winding current of the transformer with the capacity to be measured.

[0074] In addition, it should be noted that, in one embodiment, the short-circuit temperature rise test is as follows: first, the low-voltage winding of the transformer is short-circuited and a temperature sensor is arranged. After adjusting the external voltage parameters, the power of the transformer of the capacity to be tested is equal to the sum of the no-load loss and the short-circuit loss, and the total loss is measured by the three-wattmeter method. The transformer top oil temperature rise test should be continued until the top oil temperature reaches an approximate stable value, that is, the test is continued until the top oil temperature rises by less than 3 degrees Celsius within one hour. The stable value of the top oil temperature is determined as the final temperature rise of the insulating oil of the transformer of the capacity to be tested.

[0075] 103. Calculate the nameplate electrical parameters of the transformer with the capacity to be measured using the configured transformer heat transfer calculation model to obtain a calculated temperature curve.

[0076] In one embodiment, the nameplate electrical parameters include parameters on the nameplate of the capacity transformer to be measured. In another embodiment, the nameplate electrical parameters include parameters on the nameplate of the capacity transformer to be measured and electrical parameters of the capacity transformer to be measured recorded on the fuselage, shell or other locations.

[0077] For ease of understanding, in one embodiment, the actual electrical parameters include the actual impedance voltage, the actual load loss, the actual no-load current and the actual no-load loss; the nameplate electrical parameters include the nameplate impedance voltage, the nameplate load loss, the nameplate no-load current and the nameplate no-load loss.

[0078] The transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters. The nameplate electrical parameters are used as input parameters of the configured transformer heat transfer calculation model, and several parameters are obtained after addition, subtraction and / or multiplication and division operations, and the calculated temperature curve is drawn. In an application scenario, the calculated temperature curve includes the calculated top oil temperature parameters, the calculated winding temperature parameters and the calculated core temperature parameters.

[0079] 104. Compare the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer to be tested.

[0080] In one embodiment, the test temperature parameters are compared with the parameters on the calculated temperature curve, and when the calculated temperature curve matches the test temperature parameters, a qualified capacity test result is obtained. When the calculated temperature curve does not match the test temperature parameters, an unqualified capacity test result is obtained.

[0081] Among them, in one application scenario, whether the calculated temperature curve matches the test temperature parameters is determined based on a preset threshold range. The threshold range is used to determine whether the difference between the parameters in the calculated temperature curve and the corresponding parameters in the test temperature parameters is too large, that is, if the difference exceeds the threshold range, it is considered to be too large. If the difference is too large, the capacity test result is judged to be unqualified, proving that the nameplate electrical parameters are inaccurate.

[0082] The actual electrical parameters are obtained by collecting the electrical parameters of the transformer to be tested on site, and the short-circuit temperature rise test is performed using the actual electrical parameters to measure the test temperature parameters. The test temperature parameters do not need to refer to any parameters on the nameplate of the transformer to be tested, which improves the authenticity of the test temperature parameters. Then, the nameplate electrical parameters on the nameplate of the transformer to be tested are calculated using the transformer heat transfer calculation model, and the calculated temperature curve is compared with the test temperature parameters to obtain the capacity detection result, completing the capacity detection of the transformer to be tested. Since the test temperature parameters are not easily affected by the electrical parameters on the nameplate, the accuracy of the test results is improved.

[0083] In another embodiment of the present application, before the step of calculating the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve, the method further includes:

[0084] 201. Retrieve the transformer heat transfer calculation model that has been configured to match the actual power parameters and the test temperature parameters.

[0085] After obtaining the actual power parameters and test temperature parameters of the capacity transformer to be measured, the model, component configuration, structure and other information of the capacity transformer to be measured can be determined. Based on this information, it can be determined whether the two transformers are suitable for the same configured transformer heat transfer calculation model. In one embodiment, when the actual power parameters of the capacity transformer to be measured are the same as the actual power parameters corresponding to any configured transformer heat transfer calculation model, and the test temperature parameters of the capacity transformer to be measured are the same as the test temperature parameters corresponding to the same configured transformer heat transfer calculation model, it is determined that the actual power parameters and test temperature parameters of the capacity transformer to be measured match the configured transformer heat transfer calculation model. Therefore, the configured transformer heat transfer calculation model can be used directly without configuring a new transformer heat transfer calculation model.

[0086] 202. Configure the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters.

[0087] When a new transformer heat transfer calculation model needs to be configured, step 202 is executed. It should be noted that step 201 and step 202 are in an OR relationship, and the selection is made according to the actual situation, and this embodiment does not make any specific limitation.

[0088] By calling the configured transformer heat transfer calculation model, it is beneficial to improve the capacity detection efficiency while ensuring the accuracy of capacity detection. By configuring the new transformer heat transfer calculation model, since there is no need to refer to the known parameters of the transformer to be tested, the detection accuracy is improved by using the actual collected electrical parameters and the test temperature parameters obtained by experimental measurement.

[0089] In another embodiment of the present application, Figure 2 As shown, the step of configuring the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters includes:

[0090] 301. Utilize the actual power parameters to calculate and obtain the copper loss parameters and iron loss parameters of the heat source model in the transformer heat transfer calculation model to be configured.

[0091] In one embodiment, the copper loss parameter refers to the Joule heat generated by the current flowing through the copper wire; the iron loss parameter refers to the hysteresis loss and eddy current loss generated by the electromagnetic field formed by the transformer winding current.

[0092] In one application scenario, the actual power parameters include the actual impedance voltage, the actual load loss, the actual no-load current and the actual no-load loss. Among them, the actual impedance voltage and the actual load loss are obtained through load tests; the actual no-load current and the actual no-load loss are obtained through no-load tests. Specifically, when performing a load test, a test voltage is applied to the high-voltage side of the transformer to be tested, the low-voltage side winding is short-circuited, and the rated current is applied to the primary side of the transformer to be tested. The impedance when the winding on the other side is short-circuited is the short-circuit impedance, and the load loss is the Joule heat energy generated by the rated current passing through the winding.

[0093] When conducting a no-load test, the high-voltage side of the transformer to be tested is open and the low-voltage side is pressurized. The test voltage is the rated voltage of the low-voltage side, and the no-load current and no-load loss are measured.

[0094] The copper loss parameter is calculated by adding, subtracting and / or multiplying and dividing the actual impedance voltage and the actual load loss; the iron loss parameter is calculated by adding, subtracting and / or multiplying and dividing the actual no-load current and the actual no-load loss. In another embodiment, the heat source model is calculated based on the electrical parameters of the capacity transformer to be measured, including the iron loss parameter composed of hysteresis loss and eddy current loss and the copper loss parameter generated by Joule heat. The above losses are used as the heat source of the heat source model in the heat transfer calculation model of the transformer to be configured to configure the heat source model. It should be noted that the copper loss parameter and the iron loss parameter will change with the change of temperature. Therefore, it is necessary to iteratively calculate and iteratively correct the heat source model according to the changes in the copper loss parameter and the iron loss parameter.

[0095] 302. Calculate the heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured using the test temperature parameter.

[0096] The heat dissipation power parameter refers to the heat flux in the heat dissipation model. In one embodiment, the test temperature parameter includes at least one of the air cooling wind speed parameter, the oil cooler inlet and outlet oil temperature parameter, and the cooling water temperature parameter in addition to the test top oil temperature parameter, the test winding temperature parameter, and the test core temperature parameter. According to the heat dissipation mode of the transformer with the capacity to be tested, the heat dissipation power parameter can be calculated using the corresponding heat dissipation parameter.

[0097] 303. Configure the transformer heat transfer calculation model based on the calculation relationship among the copper loss parameter, the iron loss parameter, and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model.

[0098] In one embodiment, the obtained copper loss parameters, iron loss parameters and heat dissipation power parameters are assigned to a preset transformer heat transfer calculation model to be configured. In another embodiment, after the obtained copper loss parameters, iron loss parameters and heat dissipation power parameters are formed into addition, subtraction and / or multiplication and division relationships, the configured transformer heat transfer calculation model is obtained. The transformer heat transfer calculation model describes the process that the heat generated by the transformer core and winding is cooled by conduction and convection through the flow of transformer oil. The transformer heat transfer calculation model is based on the fluid-temperature field coupling equation. The fluid model is an incompressible fluid, which helps to reduce the memory consumption of the calculation. After the fluid-temperature coupling distribution is calculated, the transformer heat transfer calculation model is corrected according to the calculated winding temperature and core temperature, and the fluid-temperature coupling distribution is re-iterated until the maximum temperature difference between two iterations is less than 0.05 degrees Celsius.

[0099] By calculating the parameters in the heat source model and the heat dissipation model, the configuration of the transformer heat transfer calculation model is completed, which is simple and fast and helps to improve the detection efficiency.

[0100] In another embodiment of the present application, after the step of configuring the transformer heat transfer calculation model based on the calculation relationship between the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, the method further includes:

[0101] 401. Calculate the test temperature parameters using the configured transformer heat transfer calculation model to obtain calculated temperature parameters.

[0102] The experimental temperature parameters are used as inputs of the transformer heat transfer calculation model to obtain the calculated temperature parameters, which include the target top oil temperature parameter, the target winding temperature parameter and the target core temperature parameter.

[0103] 402. Compare the calculated temperature parameter with the test temperature parameter to obtain a correction factor parameter.

[0104] Specifically, the correction factor parameters include a top oil temperature correction factor parameter, a winding temperature correction factor parameter, and a core temperature correction factor parameter. In one embodiment, the top oil temperature correction factor parameter = the test top oil temperature parameter / the target top oil temperature parameter; the winding temperature correction factor parameter = the test winding temperature parameter / the target winding temperature parameter; the core temperature correction factor parameter = the test core temperature parameter / the target core temperature parameter.

[0105] 403. Correct the configured transformer heat transfer calculation model using the correction factor parameters to determine whether the configuration of the transformer heat transfer calculation model is completed.

[0106] That is, in this embodiment, after configuring the transformer heat transfer calculation model based on the calculation relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, the correction factor parameter is configured, and then it is determined that the configuration of the transformer heat transfer calculation model is completed.

[0107] Using correction factor parameters to correct the transformer heat transfer calculation model helps to improve the calculation accuracy of the configured transformer heat transfer calculation model, thereby helping to improve the accuracy of capacity detection results.

[0108] In another implementation method of the present application, the step of using the test temperature parameter to calculate the heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured includes:

[0109] 501. Obtain cooling equipment information of the transformer with the capacity to be measured.

[0110] The cooling equipment of the capacity transformer to be measured includes forced oil circulation, air cooling and water cooling devices. In one embodiment, the cooling equipment information is used to describe the name and number of the cooling equipment used by the capacity transformer to be measured or the cooling method used by the capacity transformer to be measured. In addition, the cooling equipment information also includes a natural cooling method, that is, the capacity transformer to be measured does not use any of the cooling methods of forced oil circulation, air cooling and water cooling.

[0111] In one embodiment, the cooling equipment information is transmitted to the current execution subject by other interactive devices using an interface. In another embodiment, the current execution subject searches for the corresponding cooling equipment information in a preset storage space according to the number, name, model and other information of the capacity transformer to be measured, thereby obtaining the cooling equipment information.

[0112] 502. Obtain heat dissipation parameters of the transformer with the capacity to be measured according to the cooling equipment information.

[0113] When the capacity transformer to be measured uses different cooling methods, the cooling equipment used is different, so the heat dissipation parameters to be obtained are different. For ease of understanding, in one embodiment, after the cooling equipment information of the capacity transformer to be measured is known, the heat dissipation parameters include at least one of the air cooling wind speed parameter, the inlet and outlet oil temperature of the oil cooler, and the cooling water temperature. That is, when the cooling method is air cooling, the heat dissipation parameters at least include the air cooling wind speed parameter.

[0114] 503. Calculate the heat dissipation power parameter using the heat dissipation parameter.

[0115] The heat dissipation power parameters are calculated using the power calculation formula.

[0116] The heat dissipation power parameter calculation process of the capacity transformer to be measured using different heat dissipation devices is different, which improves the accuracy of the heat dissipation power parameter. In addition, the heat dissipation power parameter does not need to refer to the parameters on the nameplate of the capacity transformer to be measured or other known parameters, but is obtained by measurement or calculation, which improves the accuracy of capacity detection.

[0117] In another embodiment of the present application, after the step of comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested, the method further includes:

[0118] When the capacity detection result is unqualified, the corrected capacity parameter of the transformer to be tested is calculated using the test temperature curve, the volume parameter of the transformer to be tested, the weight parameter of the transformer to be tested and the heat dissipation power parameter.

[0119] Specifically, in addition to using the test temperature curve to evaluate the capacity of the transformer to be measured, it is also necessary to consider the volume parameter, weight parameter and heat dissipation power parameter. That is, the larger the capacity of the transformer, the greater the amount of copper, iron and oil used, the greater the loss, so a larger volume and weight are required, the heat generation also increases, and therefore a higher heat dissipation power is required. Based on the above principle, the capacity parameters of the transformer to be measured are evaluated twice to obtain the corrected capacity parameters.

[0120] If the capacity test result is unqualified, it means that the parameters on the nameplate of the capacity transformer to be tested are incorrect, and there is a large difference between the actual capacity of the capacity transformer to be tested. At this time, the capacity of the capacity transformer to be tested is re-evaluated using the parameters obtained through tests, calculations and measurements to obtain corrected capacity parameters. It is easy to know the true capacity of the capacity transformer to be tested, and improve the quality of capacity detection of the capacity transformer to be tested.

[0121] Through load tests, no-load tests and short-circuit temperature rise tests, various parameters of the transformer to be tested are obtained, and then the configured transformer heat transfer calculation model is used to calculate the parameters on the nameplate of the transformer to be tested, and compared with the parameters obtained in the test, the accuracy of the capacity on the nameplate is evaluated. And when the parameters on the nameplate are inaccurate, the actual capacity of the transformer to be tested is calculated using the parameters obtained in the test and the transformer heat transfer calculation model to complete the capacity detection of the transformer to be tested. The capacity detection process of the transformer to be tested does not need to refer to any parameters on the nameplate of the transformer to be tested, which improves the authenticity of the test temperature parameters and the accuracy of the detection results. The embodiment of the present application also provides a transformer capacity detection system, such as Figure 3 As shown, it includes an acquisition module 1, which is used to obtain the actual power parameters of the capacity transformer to be tested;

[0122] The experimental parameter module 2 is used to adjust the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit according to the actual power parameters, and process to obtain the test temperature parameters;

[0123] The temperature calculation module 3 is used to calculate the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters;

[0124] The detection module 4 is used to compare the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested.

[0125] Preferably, the system further comprises a calling module, which is used to call the configured transformer heat transfer calculation model that matches the actual power parameters and the test temperature parameters before calculating the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain the calculated temperature curve;

[0126] Or a configuration module, used to configure the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters.

[0127] Preferably, the configuration module includes a parameter calculation unit, which is used to calculate the copper loss parameters and iron loss parameters of the heat source model in the transformer heat transfer calculation model to be configured by using the actual power parameters;

[0128] A heat dissipation parameter unit, used to calculate the heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured by using the test temperature parameter;

[0129] The configuration unit is used to configure the transformer heat transfer calculation model based on the calculation relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model.

[0130] Preferably, the configuration module further includes a temperature calculation unit, which is used to calculate the test temperature parameter using the configured transformer heat transfer calculation model after configuring the transformer heat transfer calculation model based on the operational relationship between the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, so as to obtain a calculated temperature parameter;

[0131] A factor calculation unit, used to obtain a correction factor parameter by comparing the calculation temperature parameter with the test temperature parameter;

[0132] The correction unit is used to correct the configured transformer heat transfer calculation model by using the correction factor parameters to determine whether the configuration of the transformer heat transfer calculation model is completed.

[0133] Preferably, the heat dissipation parameter unit includes a cooling device subunit, which is used to obtain cooling device information of the capacity transformer to be tested;

[0134] A heat dissipation parameter subunit, used for obtaining the heat dissipation parameter of the transformer with the capacity to be tested according to the cooling device information;

[0135] The heat dissipation calculation subunit is used to calculate the heat dissipation power parameter using the heat dissipation parameter.

[0136] Preferably, the system also includes a capacity correction module, which is used to calculate the corrected capacity parameters of the transformer to be tested by using the test temperature curve, the volume parameter of the transformer to be tested, the weight parameter of the transformer to be tested and the heat dissipation power parameter after comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested, when the capacity detection result is unqualified.

[0137] Preferably, the test temperature parameters include test top oil temperature parameters, test winding temperature parameters and test core temperature parameters;

[0138] The test winding temperature parameter is obtained by summing the test top layer oil temperature parameter and the copper-oil temperature difference parameter of the transformer with the capacity to be tested.

[0139] The actual power parameters acquired by the acquisition module 1 are the electrical parameters of the transformer to be measured that are actually detected and / or calculated, and have higher accuracy. The transformer heat transfer calculation model used by the temperature calculation module 3 is configured using the actual power parameters and the test temperature parameters, without referring to the parameters on the nameplate of the transformer to be measured or other known parameters, so that the transformer heat transfer calculation model will not be affected by the parameters on the nameplate, thereby improving the calculation accuracy of the transformer heat transfer calculation model. The detection module 4 compares the calculated temperature curve obtained using the nameplate electrical parameters with the test temperature parameters, and outputs the capacity detection result. It helps to know the accuracy of the capacity on the nameplate of the transformer to be measured. The entire capacity detection process is not easily affected by the parameters on the nameplate, thereby improving the accuracy of the capacity detection result.

[0140] It should be noted that the above description of the transformer capacity detection system embodiment is similar to the above method description and has the same beneficial effects as the method embodiment. For technical details not disclosed in the transformer capacity detection system embodiment of the present invention, those skilled in the art should refer to the description of the method embodiment of the present invention for understanding.

[0141] It should be noted that, in the embodiment of the present invention, if the above method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a magnetic disk or an optical disk. In this way, the embodiment of the present invention is not limited to any specific combination of hardware and software.

[0142] Correspondingly, an embodiment of the present application also discloses a storage medium storing a computer program that can be loaded by a processor and execute the above method.

[0143] The present application also discloses a transformer capacity detection device. Figure 4As shown, it includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400 and a memory 500. The communication bus 200 is configured to realize the connection and communication between these components. The user interface 300 may include a display screen, and the external communication interface 400 may include a standard wired interface and a wireless interface. The memory 500 stores a transformer capacity detection method. The processor 100 is used to adopt the above method when executing the transformer capacity detection method stored in the memory 500.

[0144] The above description of the transformer capacity detection device and storage medium embodiment is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the transformer capacity detection device and storage medium embodiment of the present invention, please refer to the description of the method embodiment of the present invention for understanding.

[0145] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present invention, the size of the serial number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. The serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0146] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0147] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0148] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0149] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0150] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0151] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a device to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0152] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A transformer capacity detection method, characterized in that: include: Obtain the actual power parameters of the transformer with the capacity to be tested; According to the actual power parameters, the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit are adjusted to obtain the test temperature parameters; The nameplate electrical parameters of the transformer to be tested are calculated using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters, and the transformer heat transfer calculation model includes the relationship between the nameplate electrical parameters of the transformer and the calculated temperature curve; Comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer to be tested; The step of configuring the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters includes: The copper loss parameter and the iron loss parameter of the heat source model in the transformer heat transfer calculation model to be configured are calculated using the actual power parameters; The heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured is calculated using the test temperature parameter; Configuring the transformer heat transfer calculation model based on the operational relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model; Wherein, after configuring the transformer heat transfer calculation model based on the calculation relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter, the method further comprises: Calculating the test temperature parameters using the configured transformer heat transfer calculation model to obtain calculated temperature parameters; Comparing the calculated temperature parameter with the test temperature parameter to obtain a correction factor parameter; The configured transformer heat transfer calculation model is corrected using the correction factor parameters to determine whether the configuration of the transformer heat transfer calculation model is completed.

2. The transformer capacity detection method according to claim 1, characterized in that: Before calculating the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve, the method further includes: Retrieving the transformer heat transfer calculation model that has been configured to match the actual power generation parameters and the test temperature parameters; Or the transformer heat transfer calculation model to be configured is configured using the actual power parameters and the test temperature parameters.

3. The transformer capacity detection method according to claim 1, characterized in that: The step of using the test temperature parameter to calculate the heat dissipation power parameter of the heat dissipation model to be configured in the transformer heat transfer calculation model comprises: Obtaining cooling equipment information of the capacity transformer to be tested; Acquire the heat dissipation parameters of the transformer with the capacity to be tested according to the cooling equipment information; The heat dissipation power parameter is calculated using the heat dissipation parameter.

4. The transformer capacity detection method according to claim 1, characterized in that: After comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer to be tested, the method further includes: When the capacity detection result is unqualified, the corrected capacity parameter of the transformer to be tested is calculated using the test temperature curve, the volume parameter of the transformer to be tested, the weight parameter of the transformer to be tested and the heat dissipation power parameter.

5. The transformer capacity detection method according to claim 1, characterized in that: The test temperature parameters include test top oil temperature parameters, test winding temperature parameters and test core temperature parameters; The test winding temperature parameter is obtained by summing the test top layer oil temperature parameter and the copper-oil temperature difference parameter of the transformer with the capacity to be tested.

6. A transformer capacity detection system, characterized in that: It includes an acquisition module for acquiring actual power parameters of the capacity transformer to be tested; An experimental parameter module, used to adjust the test circuit parameters and the applied voltage parameters of the short-circuit temperature rise test circuit according to the actual electrical parameters, and process to obtain the test temperature parameters; A temperature calculation module is used to calculate the nameplate electrical parameters of the transformer to be tested using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model is configured based on the actual electrical parameters and the test temperature parameters, and the transformer heat transfer calculation model includes the relationship between the nameplate electrical parameters of the transformer and the calculated temperature curve; A detection module, used for comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer to be tested; The step of configuring the transformer heat transfer calculation model to be configured using the actual power parameters and the test temperature parameters includes: The copper loss parameter and the iron loss parameter of the heat source model in the transformer heat transfer calculation model to be configured are calculated using the actual power parameters; The heat dissipation power parameter of the heat dissipation model in the transformer heat transfer calculation model to be configured is calculated using the test temperature parameter; Configuring the transformer heat transfer calculation model based on the operational relationship among the copper loss parameter, the iron loss parameter and the heat dissipation power parameter to complete the configuration of the transformer heat transfer calculation model; The transformer capacity detection system also includes: Calculating the test temperature parameters using the configured transformer heat transfer calculation model to obtain calculated temperature parameters; Comparing the calculated temperature parameter with the test temperature parameter to obtain a correction factor parameter; The configured transformer heat transfer calculation model is corrected using the correction factor parameters to determine whether the configuration of the transformer heat transfer calculation model is completed.

7. A transformer capacity detection device, comprising a memory and a processor, characterized in that: The memory stores a transformer capacity detection method, and the processor is used to adopt the transformer capacity detection method according to any one of claims 1 to 5 when executing the transformer capacity detection method.

8. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 5.

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