CN115508654A - Transformer capacity detection method, system, device and storage medium - Google Patents
Transformer capacity detection method, system, device and storage medium Download PDFInfo
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- 238000003860 storage Methods 0.000 title claims abstract description 24
- 238000012360 testing method Methods 0.000 claims abstract description 161
- 238000004364 calculation method Methods 0.000 claims abstract description 131
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- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 32
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Abstract
The embodiment of the invention discloses a method, a system and a device for detecting the capacity of a transformer and a storage medium, belonging to the technical field of transformers; the method comprises the steps of obtaining actual power production parameters of the transformer with the capacity to be measured; adjusting the test circuit parameters and the applied voltage parameters of the short circuit temperature rise test circuit according to the actual mining electrical parameters, and processing to obtain test temperature parameters; calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual mining electrical parameter and the test temperature parameter; and comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be detected. The test temperature parameters are obtained without referring to any parameter on the nameplate of the capacity transformer to be tested, so that the truth of the test temperature parameters is improved, and the accuracy of the detection result is improved.
Description
Technical Field
The present invention relates to the field of transformer technologies, and in particular, to a method, a system, a device, and a storage medium for detecting transformer capacity.
Background
The transformer is an important component in a power system and plays a vital role in links such as power generation, power transmission, power distribution and the like. The capacity of the transformer is a main parameter of the transformer and is used for representing the operation efficiency and performance of the transformer. Because the transformer enters the network and extra charges are carried out according to the capacity of the transformer, part of users adopt means such as replacing nameplates, under-reporting the capacity and the like to deceive power supply enterprises, and great loss is brought to power grids in various regions. In addition, if the capacity parameter on the transformer nameplate is inaccurate, the loss and the safety risk are easily caused to a user.
In the prior art, a mode of comparing with a transformer manufacturing standard and determining the capacity of a transformer by combining a part of parameters on a transformer nameplate with a no-load experiment and a load experiment is mostly adopted for detection. Because the data accuracy on the data plate is difficult to guarantee, the precision of the detection result is reduced.
Disclosure of Invention
In view of this, the present invention provides a method, a system, a device and a storage medium for detecting transformer capacity, which are used to solve the problem of low precision of transformer capacity detection in the prior art. To achieve one or a part of or all of the above or other objects, the present invention provides a transformer capacity detection method, system, device and storage medium, in which:
a transformer capacity detection method comprises the following steps:
acquiring actual mining electrical parameters of a capacity transformer to be detected;
adjusting the test circuit parameters and the applied voltage parameters of the short circuit temperature rise test circuit according to the actual mining electrical parameters, and processing to obtain test temperature parameters;
calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual mining electrical parameter and the test temperature parameter;
and comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be detected.
Preferably, before the configured heat transfer calculation model of the transformer is used to calculate the nameplate electrical parameter of the transformer with the capacity to be measured, and a calculated temperature curve is obtained, the method further includes:
the transformer heat transfer calculation model which is matched with the actual mining electrical parameters and the test temperature parameters and is configured is obtained;
or configuring the heat transfer calculation model of the transformer to be configured by utilizing the actual power production parameters and the test temperature parameters.
Preferably, the step of configuring the transformer heat transfer calculation model to be configured by using the actual production electrical parameter and the test temperature parameter comprises:
calculating by using the actual power production parameters to obtain copper loss parameters and iron loss parameters of a heat source model in the heat transfer calculation model of the transformer to be configured;
calculating by using the test temperature parameters to obtain heat dissipation power parameters of a heat dissipation model in the heat transfer calculation model of the transformer to be configured;
and 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 so as to complete the configuration of the transformer heat transfer calculation model.
Preferably, after the 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 includes:
calculating the test temperature parameter by using the configured transformer heat transfer calculation model to obtain a calculated temperature parameter;
obtaining a correction factor parameter by comparing the calculated temperature parameter with the test temperature parameter;
and modifying the heat transfer calculation model of the transformer after the assignment by using the modification factor parameters, and judging to complete the configuration of the heat transfer calculation model of the transformer.
Preferably, the step of obtaining 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 includes:
acquiring cooling equipment information of the transformer with the capacity to be measured;
acquiring heat dissipation parameters of the transformer with the capacity to be measured according to the cooling equipment information;
and calculating the heat dissipation power parameter by using the heat dissipation parameter.
Preferably, after the comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the to-be-detected capacity transformer, the method further includes:
and when the capacity detection result is unqualified, calculating to obtain a corrected capacity parameter of the capacity transformer to be detected by using the test temperature curve, the volume parameter of the capacity transformer to be detected, the weight parameter of the capacity transformer to be detected and the heat dissipation power parameter.
Preferably, the test temperature parameters comprise a test top layer oil temperature parameter, a test winding temperature parameter and a test iron core temperature parameter;
and 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 measured.
In a second aspect:
a transformer capacity detection system comprises an acquisition module, a capacity detection module and a capacity detection module, wherein the acquisition module is used for acquiring actual power acquisition parameters of a transformer with capacity to be detected;
the experimental parameter module is used for adjusting the experimental circuit parameters and the external voltage parameters of the short circuit temperature rise experimental circuit according to the actual mining electrical parameters and processing to obtain experimental temperature parameters;
the temperature calculation module is used for calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual production electrical parameters and the test temperature parameters;
and the detection module is used for comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the to-be-detected capacity transformer.
Preferably, the system further comprises a calling module, configured to call the configured transformer heat transfer calculation model matched with the actual mining electrical parameter and the test temperature parameter before the configured transformer heat transfer calculation model is used to calculate the nameplate electrical parameter of the capacity transformer to be measured to obtain a calculated temperature curve;
or the configuration module is used for configuring the heat transfer calculation model of the transformer to be configured by utilizing the actual mining electric parameters and the test temperature parameters.
Preferably, the configuration module comprises a parameter calculation unit, which is used for calculating the actual mining electrical parameter to obtain a copper loss parameter and an iron loss parameter of a heat source model in the heat transfer calculation model of the transformer to be configured;
the heat dissipation parameter unit is used for calculating by utilizing the test temperature parameter to obtain a heat dissipation power parameter of a heat dissipation model in the heat transfer calculation model of the transformer to be configured;
the configuration unit is used for 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 so as to complete the configuration of the transformer heat transfer calculation model.
Preferably, the configuration module further includes a temperature calculation unit, configured to, after the transformer heat transfer calculation model is configured based on the operational relationship between the copper loss parameter, the iron loss parameter, and the heat dissipation power parameter, calculate the test temperature parameter by using the configured transformer heat transfer calculation model to obtain a calculated temperature parameter;
the factor calculation unit is used for obtaining a correction factor parameter by comparing the calculated temperature parameter with the test temperature parameter;
and the correcting unit is used for correcting the configured transformer heat transfer calculation model by using the correction factor parameters and judging that the configuration of the transformer heat transfer calculation model is completed.
Preferably, the heat dissipation parameter unit includes a cooling device subunit, configured to obtain cooling device information of the transformer with the capacity to be measured;
the cooling parameter subunit is used for acquiring the cooling parameters of the transformer with the capacity to be measured according to the cooling equipment information;
and the heat dissipation calculation subunit is used for calculating the heat dissipation power parameter by using the heat dissipation parameter.
Preferably, the system further includes a capacity correction module, configured to calculate a corrected capacity parameter of the transformer with the capacity to be detected by using the test temperature curve, the volume parameter of the transformer with the capacity to be detected, the weight parameter of the transformer with the capacity to be detected, and the heat dissipation power parameter when the capacity detection result is unqualified after the comparison between the calculated temperature curve and the test temperature parameter obtains the capacity detection result of the transformer with the capacity to be detected.
Preferably, the test temperature parameters comprise a test top layer oil temperature parameter, a test winding temperature parameter and a test iron core temperature parameter;
and 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 measured.
In a third aspect:
the transformer capacity detection device comprises a memory and a processor, wherein the memory stores a transformer capacity detection method, and the processor is used for adopting the transformer capacity detection method when executing the transformer capacity detection method.
In the fourth aspect:
a storage medium storing a computer program that can be loaded by a processor and that executes the method described above.
The embodiment of the invention has the following beneficial effects:
the method comprises the steps of acquiring the electric parameters of the transformer with the capacity to be measured on site to obtain actual electric production parameters, and performing a short-circuit temperature rise test by using the actual electric production parameters to obtain test temperature parameters. The testing temperature parameters can be obtained without referring to any parameter on the nameplate of the capacity transformer to be tested, and the truth degree of the testing temperature parameters is improved. And then, calculating the nameplate electrical parameters on the nameplate of the capacity transformer to be detected by using the transformer heat transfer calculation model, and comparing the obtained calculated temperature curve with the test temperature parameters to obtain a capacity detection result so as to finish the capacity detection of the capacity transformer to be detected. Because the test temperature parameter is not easily influenced by the electrical parameter on the nameplate, the accuracy of the detection result is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1 is a flowchart of a transformer capacity detection method according to an embodiment.
FIG. 2 is a flow chart illustrating a method for configuring a heat transfer calculation model for a transformer in a transformer capacity detection method according to an embodiment.
Fig. 3 is a block diagram of a transformer capacity detection system according to an embodiment.
Fig. 4 is a schematic structural diagram of a transformer capacity detection apparatus in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is 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.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.
The embodiment of the application provides a method for detecting the capacity of a transformer, and in the prior art, partial parameters on a nameplate of the transformer need to be referred to when the capacity of the transformer is detected. However, the nameplate of the transformer is easy to replace, so that the reliability of parameters on the nameplate is low, the accuracy is reduced, and the accuracy of the detection result of the transformer capacity is influenced.
In order to overcome the technical defects, according to the transformer capacity detection method provided by the embodiment of the application, since each capacity class of the transformer corresponds to different heat generation and heat dissipation capacities, the transformers with different capacities under rated conditions or overload conditions will exhibit different temperature characteristics, and the embodying process of the characteristics depends on the electrical parameter design and the thermal structure design of the transformer, which are closely related to the actual capacity of the transformer. I.e. the heat generating and dissipating capacity of the transformer limits the rated capacity of the transformer to a certain range. On the basis of this principle, the detection method in this embodiment is shown in fig. 1, and includes:
101. and acquiring actual power acquisition parameters of the transformer with the capacity to be measured.
The actual acquisition electrical parameters refer to actually acquired electrical parameters of the transformer with the capacity to be measured. For ease of understanding, in one embodiment, the actual electrical parameters are obtained by temporarily measuring the transformer with the capacity to be measured in the field. In another embodiment, the actual electrical parameters are electrical parameters pre-stored in the storage device, but the electrical parameters in the storage device are obtained by testing, calculating or measuring the transformer with the capacity to be measured. Namely, the actual acquisition electrical parameters are obtained not depending on the known parameters of the transformer with the capacity to be measured, but through actual acquisition.
In one embodiment, the real production electrical parameters are transmitted by other transmission devices to the current execution subject through the interface. In another embodiment, the actual production electrical parameters are obtained from the currently executing subject control test equipment and/or measurement equipment. This embodiment is not particularly limited.
102. And adjusting the test circuit parameters and the external voltage parameters of the short circuit temperature rise test circuit according to the actual mining electrical parameters, and processing to obtain test temperature parameters.
The short circuit temperature rise test circuit refers to a circuit used in a short circuit temperature rise test. And measuring by using a short-circuit temperature rise test to obtain a test temperature parameter of the transformer with the capacity to be measured. In one embodiment, the test temperature parameters include a top layer oil temperature parameter, a test winding temperature parameter, and a test core temperature parameter. In another embodiment, the test temperature parameters further include at least one of an air-cooled wind speed parameter, an oil cooler inlet/outlet oil temperature parameter, and a cooling water temperature parameter.
In one embodiment, the current execution body searches the corresponding test circuit parameter from the parameter adjustment table according to the actual value of the actual acquisition electrical parameter according to a preset parameter adjustment table. And after the test circuit parameters are obtained, configuring the short circuit temperature rise test circuit. In one embodiment, the applied voltage parameter is a predetermined value; in another embodiment, the applied voltage parameter is transmitted to the current execution subject via an interactive device.
In an application scene, in a short-circuit temperature rise test, after the external voltage parameter is adjusted, the power of the capacity transformer to be measured is equal to the sum of no-load loss and short-circuit loss. At the moment, measuring by a resistance type thermometer or a pressure type thermometer to obtain the oil temperature parameter of the tested top layer; measuring and obtaining a temperature parameter of the test iron core by using a temperature measuring element embedded in advance; and 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 measured. Specifically, the test winding temperature parameter Tw is calculated according to the following formula:
T w ＝T o +k*△T wo ；
wherein, T w Testing winding temperature parameters; t is o Testing the top oil temperature parameter; k is a heat transfer coefficient; delta T wo Is a copper oil temperature difference parameter. The copper oil temperature difference parameter is in direct proportion to the square of the winding current of the transformer with the capacity to be measured.
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 the external voltage parameter is adjusted, the power of the transformer with the capacity to be measured is equal to the sum of no-load loss and short-circuit loss, and the total loss is measured by adopting a three-watt meter method. The temperature rise test of the top oil of the transformer is continued until the temperature of the top oil reaches an approximate stable value, namely the test is continued until the temperature of the top oil rises to be less than 3 ℃ within one hour. And determining the stable value of the top oil temperature as the final temperature rise of the insulating oil of the transformer with the capacity to be measured.
103. And calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve.
In one embodiment, the nameplate electrical parameter comprises a parameter on a 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 for the fuselage, housing, or other location.
For ease of understanding, in one embodiment, the real mining electrical parameters include real mining impedance voltage, real mining load loss, real mining no-load current, and real mining no-load loss; the nameplate electrical parameters include nameplate impedance voltage, nameplate load loss, nameplate no-load current, and nameplate no-load loss.
And the transformer heat transfer calculation model completes configuration based on the actual mining electrical parameter and the test temperature parameter. And taking the nameplate electrical parameters as input parameters of the configured heat transfer calculation model of the transformer, performing addition and subtraction and/or multiplication and division operation to obtain a plurality of parameters, and drawing to obtain a calculated temperature curve. In an application scenario, the calculating the temperature curve includes calculating a top layer oil temperature parameter, calculating a winding temperature parameter, and calculating an iron core temperature parameter.
104. And comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be detected.
In one embodiment, the test temperature parameter is compared with a parameter on the calculated temperature curve, and when the calculated temperature curve is matched with the test temperature parameter, a qualified capacity detection result is obtained. And obtaining an unqualified capacity detection result when the calculated temperature curve is not matched with the test temperature parameter.
In an application scene, whether the calculated temperature curve is matched with the test temperature parameter or not is judged according to a preset threshold range. And judging whether the difference between the parameters in the calculated temperature curve and the corresponding parameters in the test temperature parameters is too large through the threshold range, namely, the difference is considered to be too large when the difference exceeds the threshold range. If the difference is too large, the capacity detection result is judged to be unqualified, and the electric parameters of the nameplate are proved to be inaccurate.
The method comprises the steps of acquiring the electric parameters of the transformer with the capacity to be measured on site to obtain actual production electric parameters, and carrying out a short-circuit temperature rise test by using the actual production electric parameters to obtain test temperature parameters. The testing temperature parameters can be obtained without referring to any parameter on the nameplate of the capacity transformer to be tested, and the truth degree of the testing temperature parameters is improved. And then, calculating the nameplate electrical parameters on the nameplate of the capacity transformer to be detected by using the transformer heat transfer calculation model, and comparing the obtained calculated temperature curve with the test temperature parameters to obtain a capacity detection result so as to finish the capacity detection of the capacity transformer to be detected. Because the test temperature parameter is not easily influenced by the electrical parameter on the nameplate, the accuracy of the detection result is improved.
In another embodiment of the present application, before calculating a nameplate electrical parameter of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve, the method further includes:
201. and calling the configured transformer heat transfer calculation model matched with the actual mining electrical parameters and the test temperature parameters.
After the actual mining electrical parameters and the test temperature parameters of the transformer with the capacity to be measured are obtained, the information such as the model, the component configuration and the structure of the transformer with the capacity to be measured can be judged. And judging whether the two transformers are suitable for the transformer heat transfer calculation model with the same configuration according to the information. In an embodiment, when the actual power production parameter of the transformer with the capacity to be measured is the same as the actual power production parameter corresponding to any configured transformer heat transfer calculation model, and the test temperature parameter of the transformer with the capacity to be measured is the same as the test temperature parameter corresponding to the same configured transformer heat transfer calculation model, it is determined that the actual power production parameter and the test temperature parameter of the transformer with the capacity to be measured are matched with the configured transformer heat transfer calculation model. Therefore, the transformer heat transfer calculation model completed by the configuration can be directly used without newly configuring a transformer heat transfer calculation model.
202. And configuring the transformer heat transfer calculation model to be configured by utilizing the actual mining electrical parameters and the test temperature parameters.
Step 202 is performed when a new configuration of the heat transfer calculation model of the transformer is required. It should be noted that, the relation between step 201 and step 202 is "or", which is specifically selected according to the actual situation, and this embodiment is not specifically limited.
By calling the configured transformer heat transfer calculation model, the capacity detection efficiency is improved on the premise of ensuring the capacity detection accuracy. By newly configuring the transformer heat transfer calculation model, the detection precision is improved by utilizing the actually acquired electrical parameters and the test temperature parameters obtained by the experimental measurement because the known parameters of the capacity transformer to be detected do not need to be referred.
In another embodiment of the present application, as shown in fig. 2, the step of configuring the heat transfer calculation model of the transformer to be configured by using the actual production parameter and the test temperature parameter includes:
301. and calculating by using the actual power production parameters to obtain copper loss parameters and iron loss parameters of a heat source model in the transformer heat transfer calculation model to be configured.
In one embodiment, the copper loss parameter refers to joule heating generated by current flowing through the copper wire; the iron loss parameters refer to hysteresis loss and eddy current loss generated by an electromagnetic field formed by a transformer winding current.
In an application scenario, the real mining electrical parameters include real mining impedance voltage, real mining load loss, real mining no-load current, and real mining no-load loss. The actual mining impedance voltage and the actual mining load loss are obtained through a load test; the actual mining no-load current and the actual mining no-load loss are obtained through no-load tests. Specifically, when a load test is performed, a test voltage is applied to the high-voltage side of the capacity transformer to be tested, the low-voltage side winding is in short circuit, a rated current is applied to the primary side of the capacity transformer to be tested, the impedance when the winding on the other side is in short circuit is short circuit impedance, and the load loss is joule heat energy generated when the winding passes through the rated current.
When no-load experiment is carried out, the high-voltage side of the transformer with the capacity to be measured is opened, the low-voltage side is pressurized, the test voltage is the rated voltage of the low-voltage side, and no-load current and no-load loss are measured.
The copper loss parameter is obtained by performing addition, subtraction and/or multiplication and division calculation on the actual mining impedance voltage and the actual mining load loss; and the iron loss parameters are obtained by performing addition, subtraction and/or multiplication and division calculation on the real mining no-load current and the real mining no-load loss. In another embodiment, the heat source model is calculated according to the electrical parameters of the transformer with the capacity to be measured, and the heat source model comprises an iron loss parameter consisting of hysteresis loss and eddy current loss and a copper loss parameter generated by Joule heat. And taking the loss as a heat source of a heat source model in the heat transfer calculation model of the transformer to be configured so as to configure the heat source model. Note that the copper loss parameter and the iron loss parameter vary with temperature. Therefore, iterative calculation is needed to be performed according to the change of the copper loss parameter and the iron loss parameter, and the heat source model is iteratively corrected.
302. And calculating by using the test temperature parameter to obtain a heat dissipation power parameter of a heat dissipation model in the heat transfer calculation model of the transformer to be configured.
The heat dissipation power parameter refers to the heat flux in the heat dissipation model. In an embodiment, the test temperature parameter includes at least one of an air-cooling wind speed parameter, an oil temperature parameter of an inlet and an outlet of an oil cooler, and a cooling water temperature parameter, in addition to the test top layer oil temperature parameter, the test winding temperature parameter, and the test iron core temperature parameter. And calculating the heat dissipation power parameter by using the corresponding heat dissipation parameter according to the heat dissipation mode of the transformer with the capacity to be measured.
303. And 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 so as to complete the configuration of the transformer heat transfer calculation model.
In one embodiment, the obtained copper loss parameter, iron loss parameter and heat dissipation power parameter are assigned to a preset transformer heat transfer calculation model to be configured. In another embodiment, the configured heat transfer calculation model of the transformer is obtained after the addition, subtraction and/or multiplication and division relationship is formed among the obtained copper loss parameters, iron loss parameters and heat dissipation power parameters. The process described by the transformer heat transfer calculation model is that heat generated by a transformer iron core and a winding is cooled through the flowing of transformer oil through conduction and convection. The transformer heat transfer calculation model is based on a fluid-temperature field coupling equation. The fluid model is an incompressible fluid, which helps to reduce the memory consumption of the calculation. And after the fluid-temperature coupling distribution is obtained through calculation, correcting the heat transfer calculation model of the transformer according to the winding temperature and the iron core temperature obtained through calculation, and iterating and calculating the fluid-temperature coupling distribution again until the maximum temperature difference between two iterations is less than 0.05 ℃.
The configuration of the heat transfer calculation model of the transformer is completed by calculating parameters in the heat source model and the heat dissipation model, so that the method is simple and rapid, and is beneficial to improving the detection efficiency.
In another embodiment of the present application, after the step of 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 includes:
401. and calculating the test temperature parameter by using the configured transformer heat transfer calculation model to obtain a calculated temperature parameter.
And taking the test temperature parameter as the input of the heat transfer calculation model of the transformer to obtain a calculated temperature parameter. The calculated temperature parameters comprise a target top layer oil temperature parameter, a target winding temperature parameter and a target iron core temperature parameter.
402. And comparing the calculated temperature parameter with the test temperature parameter to obtain a correction factor parameter.
Specifically, the correction factor parameters include a top layer oil temperature correction factor parameter, a winding temperature correction factor parameter, and an iron core temperature correction factor parameter. In one embodiment, the top layer oil temperature correction factor parameter = test top layer oil temperature parameter/target top layer oil temperature parameter; winding temperature correction factor parameter = test winding temperature parameter/target winding temperature parameter; the core temperature correction factor parameter = test core temperature parameter/target core temperature parameter.
403. And correcting the configured heat transfer calculation model of the transformer by using the correction factor parameters, and judging that the configuration of the heat transfer calculation model of the transformer is completed.
In other words, in this embodiment, after the heat transfer calculation model of the transformer is configured based on the operational 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 heat transfer calculation model of the transformer is completed.
The correction factor parameters are used for correcting the transformer heat transfer calculation model, so that the calculation precision of the configured transformer heat transfer calculation model is improved, and the accuracy of the capacity detection result is improved.
In another implementation method of the present application, the step of obtaining, by using the test temperature parameter, a heat dissipation power parameter of a heat dissipation model in the heat transfer calculation model of the transformer to be configured by calculation includes:
501. and obtaining the cooling equipment information of the transformer with the capacity to be measured.
The cooling equipment of the transformer with the capacity to be measured comprises a strong oil circulation device, an air cooling device and a water cooling device. In an embodiment, the cooling device information is used to describe a name and a number of a cooling device used by the transformer with the capacity to be measured or a cooling method used by the transformer with the capacity to be measured. In addition, the cooling equipment information also comprises a natural cooling mode, namely, the transformer with the capacity to be measured does not use any one of the cooling modes of strong oil circulation, air cooling and water cooling.
In one embodiment, the cooling device information is transmitted by the other interactive device to the current execution subject using the interface. In another embodiment, the current execution main body queries corresponding cooling device information in a preset storage space according to information such as the number, name, model and the like of the capacity transformer to be measured, so as to obtain the cooling device information.
502. And acquiring the heat dissipation parameters of the transformer with the capacity to be measured according to the cooling equipment information.
When the transformer with the capacity to be measured uses different cooling modes, the used cooling equipment is different, so that the heat dissipation parameters required to be obtained are different. For convenience of understanding, in an embodiment, after the cooling device information of the transformer with the capacity to be measured is obtained, the heat dissipation parameter includes at least one of an air-cooled wind speed parameter, an oil temperature of an inlet and an outlet of the oil cooler, and a cooling water temperature. Namely, when the cooling mode is air cooling, the heat dissipation parameters at least comprise air cooling wind speed parameters.
503. And calculating the heat dissipation power parameter by using the heat dissipation parameter.
And calculating by using a power calculation formula to obtain the heat dissipation power parameter.
The calculation processes of the heat dissipation power parameters of the transformer with the capacity to be measured using different heat dissipation equipment are different, and the precision of the heat dissipation power parameters is improved. And the heat dissipation power parameter does not need to refer to the parameter on the nameplate of the capacity transformer to be measured or other known parameters, and is obtained by measurement or calculation, so that the accuracy of capacity detection is improved.
In another embodiment of the present application, after the step of comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer with a capacity to be detected, the method further includes:
and when the capacity detection result is unqualified, calculating to obtain a corrected capacity parameter of the capacity transformer to be detected by using the test temperature curve, the volume parameter of the capacity transformer to be detected, the weight parameter of the capacity transformer to be detected and the heat dissipation power parameter.
Specifically, the capacity of the transformer with the capacity to be measured is evaluated by using the test temperature curve, and a volume parameter, a weight parameter and a heat dissipation power parameter need to be considered. That is, as the capacity of the transformer increases, the loss increases with the amount of copper, iron, and oil, and therefore, a larger volume and weight are required, and heat generation increases, and therefore, a higher heat dissipation power is required. And performing secondary evaluation on the capacity parameter of the transformer with the capacity to be measured based on the principle to obtain a corrected capacity parameter.
The capacity detection result is unqualified, which means that the parameter on the nameplate of the transformer with the capacity to be detected is wrong and has a larger difference with the actual capacity of the transformer with the capacity to be detected. At the moment, the capacity of the transformer with the capacity to be measured is reevaluated by using the parameters obtained through test, calculation and measurement, and the corrected capacity parameter is obtained. The real capacity of the transformer with the capacity to be detected can be obtained easily, and the quality of capacity detection of the transformer with the capacity to be detected is improved.
And obtaining various parameters of the transformer with the capacity to be measured through a load test, a no-load test and a short-circuit temperature rise test, then calculating the parameters on the nameplate of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model, and comparing the parameters with the parameters obtained through the test to evaluate the accuracy of the capacity on the nameplate. And when the parameters on the nameplate are not accurate, the real capacity of the transformer with the capacity to be detected is obtained by utilizing the parameters obtained by the test and the heat transfer calculation model of the transformer, and the capacity detection of the transformer with the capacity to be detected is completed. The capacity detection process of the capacity transformer to be detected is obtained without referring to any parameter on the nameplate of the capacity transformer to be detected, so that the truth of the temperature parameter of the test is improved, and the accuracy of the detection result is improved. The embodiment of the present application further provides a transformer capacity detection system, as shown in fig. 3, including an obtaining module 1, configured to obtain actual power production parameters of a transformer with a capacity to be detected;
the experimental parameter module 2 is used for adjusting the experimental circuit parameters and the external voltage parameters of the short circuit temperature rise experimental circuit according to the actual mining electrical parameters and processing to obtain experimental temperature parameters;
the temperature calculation module 3 is used for calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual mining electrical parameter and the test temperature parameter;
and the detection module 4 is used for comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the to-be-detected capacity transformer.
Preferably, the system further comprises a calling module, configured to call the configured transformer heat transfer calculation model matched with the actual mining electrical parameter and the test temperature parameter before the configured transformer heat transfer calculation model is used to calculate the nameplate electrical parameter of the capacity transformer to be measured to obtain a calculated temperature curve;
or the configuration module is used for configuring the transformer heat transfer calculation model to be configured by utilizing the actual mining electrical parameters and the test temperature parameters.
Preferably, the configuration module comprises a parameter calculation unit, which is used for calculating the actual power production parameters to obtain copper loss parameters and iron loss parameters of a heat source model in the heat transfer calculation model of the transformer to be configured;
the heat dissipation parameter unit is used for calculating by utilizing the test temperature parameter to obtain a heat dissipation power parameter of a heat dissipation model in the heat transfer calculation model of the transformer to be configured;
the configuration unit is used for 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 so as to complete the configuration of the transformer heat transfer calculation model.
Preferably, the configuration module further includes a temperature calculation unit, configured to calculate the test temperature parameter by using the configured transformer heat transfer calculation model after 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, so as to obtain a calculated temperature parameter;
the factor calculation unit is used for obtaining a correction factor parameter by comparing the calculated temperature parameter with the test temperature parameter;
and the correcting unit is used for correcting the configured transformer heat transfer calculation model by using the correction factor parameters and judging that the configuration of the transformer heat transfer calculation model is completed.
Preferably, the heat dissipation parameter unit includes a cooling device subunit, configured to obtain cooling device information of the transformer with the capacity to be measured;
the heat dissipation parameter subunit is used for acquiring the heat dissipation parameters of the transformer with the capacity to be measured according to the cooling equipment information;
and the heat dissipation calculation subunit is used for calculating the heat dissipation power parameter by using the heat dissipation parameter.
Preferably, the system further includes a capacity correction module, configured to calculate, after the comparison between the calculated temperature curve and the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be detected, a corrected capacity parameter of the transformer with the capacity to be detected by using the test temperature curve, the volume parameter of the transformer with the capacity to be detected, the weight parameter of the transformer with the capacity to be detected, and the heat dissipation power parameter when the capacity detection result is unqualified.
Preferably, the test temperature parameters comprise a test top layer oil temperature parameter, a test winding temperature parameter and a test iron core temperature parameter;
and 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 measured.
The actual acquisition electrical parameters acquired by the acquisition module 1 are electrical parameters of the to-be-detected capacity transformer obtained through actual detection and/or calculation, and the accuracy is higher. The transformer heat transfer calculation model used by the temperature calculation module 3 completes configuration by utilizing real mining electrical parameters and test temperature parameters without referring to parameters or other known parameters on a nameplate of the transformer with the capacity to be measured, so that the transformer heat transfer calculation model is not influenced by the parameters on the nameplate, and the calculation accuracy of the transformer heat transfer calculation model is improved. The detection module 4 compares the calculated temperature curve obtained by using the nameplate electrical parameters with the test temperature parameters and outputs a capacity detection result. The method is beneficial to knowing the accuracy of the capacity on the nameplate of the transformer with the capacity to be measured. The whole capacity detection process is not easily interfered by parameters on the nameplate, and the accuracy of the capacity detection result is improved.
Here, it should be noted that: the above description applied to the embodiment of the transformer capacity detection system is similar to the above description of the method, and has the same beneficial effects as the embodiment of the method. For technical details not disclosed in the embodiments of the transformer capacity detection system of the present invention, those skilled in the art should understand with reference to the description of the embodiments of the method of the present invention.
It should be noted that, in the embodiment of the present invention, if the method is implemented in the form of a software functional module and sold or used as a standalone product, it may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk, and various media capable of storing program codes. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
Correspondingly, the embodiment of the application also discloses a storage medium which stores a computer program capable of being loaded by a processor and executing the method.
The embodiment of the present application further discloses a transformer capacity detection apparatus, as shown in fig. 4, including a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400, and a memory 500. Wherein the communication bus 200 is configured to enable connected communication between these components. Where the user interface 300 may include a display screen and the external communication interface 400 may include standard wired and wireless interfaces. The memory 500 stores a transformer capacity detection method. Wherein the processor 100 is configured to employ the above method when executing the transformer capacity detection method stored in the memory 500.
The above description applied to the embodiments of the transformer capacity detection apparatus and the storage medium is similar to the description of the above method embodiments, and has similar advantageous effects to the method embodiments. For technical details not disclosed in the embodiments of the transformer capacity detection apparatus and the storage medium of the present invention, reference is made to the description of the embodiments of the method of the present invention for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not imply an order of execution, and the order of execution of the processes should be determined by their functions and internal logics, and should not limit the implementation processes of the embodiments of the present invention in any way. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a device to perform all or part of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A transformer capacity detection method is characterized by comprising the following steps:
acquiring actual power production parameters of a transformer with the capacity to be measured;
adjusting the test circuit parameters and the applied voltage parameters of the short circuit temperature rise test circuit according to the actual mining electrical parameters, and processing to obtain test temperature parameters;
calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual mining electrical parameter and the test temperature parameter;
and comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the transformer with the capacity to be detected.
2. The method for detecting the capacity of the transformer according to claim 1, wherein before the configured heat transfer calculation model of the transformer with the capacity to be detected is used for calculating the nameplate electrical parameters of the transformer with the capacity to be detected to obtain the calculated temperature curve, the method further comprises the following steps:
the transformer heat transfer calculation model which is matched with the actual mining electrical parameters and the test temperature parameters and is configured is obtained;
or configuring the heat transfer calculation model of the transformer to be configured by utilizing the actual power production parameters and the test temperature parameters.
3. The method for detecting the capacity of the transformer according to claim 2, wherein the step of configuring the heat transfer calculation model of the transformer to be configured by using the real production electrical parameters and the test temperature parameters comprises:
calculating by using the actual power production parameters to obtain copper loss parameters and iron loss parameters of a heat source model in the heat transfer calculation model of the transformer to be configured;
calculating by using the test temperature parameters to obtain heat dissipation power parameters of a heat dissipation model in the heat transfer calculation model of the transformer to be configured;
and 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 so as to complete the configuration of the transformer heat transfer calculation model.
4. The transformer capacity detection method of claim 3, wherein after the configuring the transformer heat transfer calculation model based on the operational relationship of the copper loss parameter, the iron loss parameter, and the heat dissipation power parameter, the method further comprises:
calculating the test temperature parameter by using the configured transformer heat transfer calculation model to obtain a calculated temperature parameter;
obtaining a correction factor parameter by comparing the calculated temperature parameter with the test temperature parameter;
and correcting the configured transformer heat transfer calculation model by using the correction factor parameters, and judging that the configuration of the transformer heat transfer calculation model is completed.
5. The method for detecting the capacity of the transformer according to claim 3, wherein the step of calculating the heat dissipation power parameter of the heat dissipation model to be configured in the heat transfer calculation model of the transformer by using the test temperature parameter comprises:
obtaining cooling equipment information of the transformer with the capacity to be measured;
acquiring heat dissipation parameters of the transformer with the capacity to be measured according to the cooling equipment information;
and calculating the heat dissipation power parameter by using the heat dissipation parameter.
6. The method for detecting the capacity of the transformer according to claim 1, wherein after the comparing the calculated temperature curve with the test temperature parameter to obtain the capacity detection result of the transformer with the capacity to be detected, the method further comprises:
and when the capacity detection result is unqualified, calculating to obtain a corrected capacity parameter of the capacity transformer to be detected by utilizing the test temperature curve, the volume parameter of the capacity transformer to be detected, the weight parameter of the capacity transformer to be detected and the heat dissipation power parameter.
7. The transformer capacity detection method of claim 1, wherein the test temperature parameters comprise a test top layer oil temperature parameter, a test winding temperature parameter, and a test core temperature parameter;
and 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 measured.
8. The transformer capacity detection system is characterized by comprising an acquisition module, a capacity detection module and a capacity detection module, wherein the acquisition module is used for acquiring actual power acquisition parameters of a transformer with capacity to be detected;
the experimental parameter module is used for adjusting the experimental circuit parameters and the external voltage parameters of the short circuit temperature rise experimental circuit according to the actual mining electrical parameters and processing to obtain experimental temperature parameters;
the temperature calculation module is used for calculating the nameplate electrical parameters of the transformer with the capacity to be measured by using the configured transformer heat transfer calculation model to obtain a calculated temperature curve; wherein the transformer heat transfer calculation model completes configuration based on the actual production electrical parameters and the test temperature parameters;
and the detection module is used for comparing the calculated temperature curve with the test temperature parameter to obtain a capacity detection result of the to-be-detected capacity transformer.
9. A transformer capacity detection device comprising a memory and a processor, wherein the memory stores a transformer capacity detection method, and the processor is configured to use the transformer capacity detection method according to any one of claims 1 to 7 when executing the transformer capacity detection method.
10. A storage medium storing a computer program which can be loaded by a processor and which executes the method according to any one of claims 1-7.
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