Method and system for transformer monitoring based on molecular simulation and bubble inception temperature

Abstract

The application discloses a kind of transformer monitoring method and system based on molecular simulation and bubble starting temperature, it is related to transformer monitoring technical field, obtain the operating state parameter of the transformer to be monitored in preset monitoring time, and molecular simulation processing is carried out to operating state parameter, obtain the molecular model corresponding to the transformer to be monitored, dynamics simulation test is carried out using molecular model, obtain the bubble moisture parameter corresponding to the transformer to be monitored, according to bubble moisture parameter and preset bubble starting temperature model, determine the bubble starting temperature corresponding to the transformer to be monitored, according to the comparison result of bubble starting temperature and operating state parameter, judge whether the transformer to be monitored exists breakdown risk. Through high pressure test of different moisture content insulation paper board, the bubble starting temperature is obtained, but the production process of different moisture content insulation paper board is complex, and the high pressure test result is affected by many factors, thereby leading to low precision, reduce the technical problem of transformer operation reliability.

Description

Technical Field

[0001] This invention relates to the field of transformer monitoring technology, and in particular to a transformer monitoring method and system based on molecular simulation and bubble initiation temperature. Background Technology

[0002] Power transformers are core equipment in power grid transmission and distribution systems. With long-term operation, power transformers gradually age internally, leading to the formation of bubbles in certain areas. The primary cause of these bubbles in the transformer's oil-paper insulation system is the increase in moisture content with rising temperature. Because gases have a lower dielectric constant, the distortion of the internal electric field often induces partial discharge. The accumulation of these bubbles inevitably leads to the breakdown of the transformer's oil-paper insulation system, ultimately causing serious damage to the power transformer. Therefore, real-time monitoring of the bubble initiation temperature inside the transformer is crucial.

[0003] Currently, the existing method for monitoring the bubble initiation temperature inside transformers mainly involves high-voltage testing of insulating paperboards with different moisture contents to obtain the bubble initiation temperature inside the transformer. However, the manufacturing process of insulating paperboards with different moisture contents is complex, and the results of high-voltage tests are often affected by many factors such as equipment, environment, and human factors, which leads to a significant reduction in accuracy and error, thus reducing the reliability of transformer operation. Summary of the Invention

[0004] This invention provides a transformer monitoring method and system based on molecular simulation and bubble initiation temperature. It solves the technical problem that the existing method for monitoring the bubble initiation temperature inside a transformer mainly involves high-voltage testing of insulating paperboards with different moisture contents to obtain the bubble initiation temperature inside the transformer. However, the manufacturing process of insulating paperboards with different moisture contents is complex, and the results of high-voltage tests are often affected by many factors such as equipment, environment, and human factors, which leads to a significant reduction in accuracy and error, thus reducing the reliability of transformer operation.

[0005] The first aspect of this invention provides a transformer monitoring method based on molecular simulation and bubble initiation temperature, comprising:

[0006] The operating status parameters of the transformer to be monitored within a preset monitoring time are obtained, and the operating status parameters are processed by molecular simulation to obtain the molecular model corresponding to the transformer to be monitored.

[0007] The molecular model was used to conduct a kinetic simulation experiment to obtain the bubble moisture parameters corresponding to the transformer to be monitored.

[0008] Based on the bubble moisture parameters and the preset bubble initiation temperature model, the bubble initiation temperature corresponding to the transformer to be monitored is determined.

[0009] Based on the comparison between the bubble initiation temperature and the operating status parameters, it is determined whether the transformer under monitoring is at risk of breakdown.

[0010] Optionally, the operating status parameters include the water content in the oil and the operating time. The step of performing molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored includes:

[0011] The water content in the oil is input into a preset insulating oil model library to obtain the target insulating oil model;

[0012] The running time and the water content in the oil are input into a preset insulating paper model library to obtain the target insulating paper model;

[0013] The target insulating oil model and the target insulating paper model are geometrically optimized to generate a combined optimized model.

[0014] According to the preset annealing temperature range, the combined optimization model is subjected to energy cycle annealing to obtain the molecular model corresponding to the transformer to be monitored.

[0015] Optionally, the step of using the molecular model to conduct a kinetic simulation experiment to obtain the bubble moisture parameters corresponding to the transformer to be monitored includes:

[0016] Under a preset multi-coupled physical field, the molecular model was used to conduct isothermal and isothermal-volume simulation experiments and isothermal and isothermal-pressure simulation experiments to obtain data on the number of water molecules and the distribution of oxygen-hydrogen bonds.

[0017] The number of water molecules is compared with a preset Avogadro constant to obtain the number of water moles;

[0018] The radial distribution algorithm is used to perform probability density analysis on the oxygen-hydrogen bond distribution data to obtain the bubble radius;

[0019] The number of water moles and the bubble radius are used as the bubble moisture parameters corresponding to the transformer to be monitored.

[0020] Optionally, the step of determining the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and a preset bubble initiation temperature model includes:

[0021] The bubble moisture parameters are input into a preset bubble initiation temperature model to obtain the initial bubble initiation temperature;

[0022] The initial bubble initiation temperature and the preset experimental correction value are summed to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

[0023] Optionally, the step of determining whether the transformer under monitoring has a risk of breakdown based on the comparison result between the bubble initiation temperature and the operating status parameters includes:

[0024] Determine whether the oil temperature of the operating status parameter is lower than the bubble initiation temperature;

[0025] If the oil temperature is greater than or equal to the bubble initiation temperature, the transformer under monitoring is determined to be at risk of breakdown.

[0026] If the oil temperature is lower than the bubble initiation temperature, it is determined that the transformer under monitoring does not have a risk of breakdown.

[0027] Optionally, the bubble initiation temperature model is specifically as follows:

[0028]

[0029] in, The initial bubble initiation temperature. The viscosity of the insulating oil. This represents the number of moles of water. The molar gas constant, Where is the bubble radius. For time, The surface tension of the insulating oil, This refers to the density of the insulating oil.

[0030] A second aspect of the present invention provides a transformer monitoring system based on molecular simulation and bubble initiation temperature, comprising:

[0031] The operating status parameter extraction module is used to obtain the operating status parameters of the transformer to be monitored within a preset monitoring time, and to perform molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored.

[0032] The molecular simulation module is used to perform dynamic simulation experiments using the molecular model to obtain the bubble moisture parameters corresponding to the transformer to be monitored.

[0033] The model calculation module is used to determine the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and the preset bubble initiation temperature model.

[0034] The output parameter execution module is used to determine whether the transformer under monitoring is at risk of breakdown based on the comparison result between the bubble initiation temperature and the operating status parameters.

[0035] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to perform the steps of the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the preceding claims.

[0036] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the preceding claims.

[0037] The fifth aspect of the present invention provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein, when the program instructions are executed by a computer, the computer performs the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the preceding claims.

[0038] As can be seen from the above technical solutions, the present invention has the following advantages:

[0039] This invention obtains the operating status parameters of the transformer under test within a preset monitoring time, performs molecular simulation using these parameters to obtain a molecular model, and then uses this molecular model to simulate the bubble generation process within the transformer, thereby obtaining the corresponding bubble moisture parameters. Combined with a preset bubble initiation temperature model, the bubble initiation temperature of the transformer under test can be quickly obtained. This overcomes the low accuracy of obtaining the transformer bubble initiation temperature through high-voltage tests using insulating paperboards with different moisture contents. Compared with traditional bubble initiation temperature methods, this invention obtains the transformer's bubble moisture parameters through molecular simulation of operating status parameters, avoiding the influence of equipment, environment, and human factors during the monitoring process, thus improving the accuracy of the transformer bubble initiation temperature. Furthermore, by guiding the transformer's operation with the bubble initiation temperature, the reliability of transformer operation is improved. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 The flowchart illustrates the steps of a transformer monitoring method based on molecular simulation and bubble initiation temperature, as provided in Embodiment 1 of the present invention.

[0042] Figure 2 This is a flowchart illustrating the steps of a transformer monitoring method based on molecular simulation and bubble initiation temperature, as provided in Embodiment 2 of the present invention.

[0043] Figure 3 This is a structural block diagram of a transformer monitoring system based on molecular simulation and bubble initiation temperature provided in Embodiment 3 of the present invention;

[0044] Figure 4 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention. Detailed Implementation

[0045] This invention provides a transformer monitoring method and system based on molecular simulation and bubble initiation temperature. It addresses the technical problem that existing methods for monitoring the bubble initiation temperature inside transformers mainly involve high-voltage tests on insulating paperboards with different moisture contents to obtain the bubble initiation temperature inside the transformer. However, the manufacturing process of insulating paperboards with different moisture contents is complex, and the results of high-voltage tests are often affected by many factors such as equipment, environment, and human factors, resulting in a significant reduction in accuracy and error, thus lowering the reliability of transformer operation.

[0046] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0047] Please see Figure 1 , Figure 1 The flowchart illustrates the steps of a transformer monitoring method based on molecular simulation and bubble initiation temperature, as provided in Embodiment 1 of the present invention.

[0048] This invention provides a transformer monitoring method based on molecular simulation and bubble initiation temperature, comprising:

[0049] Step 101: Obtain the operating status parameters of the transformer to be monitored within the preset monitoring time, and perform molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored.

[0050] In this embodiment of the invention, the operating status parameters of the transformer to be monitored within a preset monitoring time are obtained by an operating status parameter extractor. The operating status parameters include at least the water content in the oil, the oil temperature, and the operating time. Molecular simulation processing is performed on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored.

[0051] It should be noted that the operating status parameter extractor is installed inside the transformer to be monitored and is used to monitor the operating time and moisture content of the transformer during its operation.

[0052] Step 102: Use a molecular model to conduct a dynamic simulation experiment to obtain the bubble moisture parameters corresponding to the transformer to be monitored;

[0053] In this embodiment of the invention, a molecular model is used to conduct dynamic simulation experiments of NVT and NPT under the action of multiple coupled physical fields. The water movement trajectory during the simulation is collected to obtain the bubble moisture parameters corresponding to the transformer to be monitored.

[0054] Step 103: Determine the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and the preset bubble initiation temperature model;

[0055] In this embodiment of the invention, the bubble moisture parameter is input into a preset bubble initiation temperature model to obtain an uncorrected bubble initiation temperature. The uncorrected bubble initiation temperature is then summed with a pre-obtained experimental correction value to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

[0056] Step 104: Based on the comparison results between the bubble initiation temperature and the operating status parameters, determine whether the transformer under monitoring is at risk of breakdown.

[0057] In this embodiment of the invention, it is determined whether the bubble initiation temperature is lower than the oil temperature, a parameter of the operating status. If the bubble initiation temperature is lower than the oil temperature, the transformer under monitoring is determined to have no risk of breakdown. If the bubble initiation temperature is greater than or equal to the oil temperature, the transformer under monitoring is determined to have a risk of breakdown.

[0058] In this embodiment of the invention, the present invention obtains the operating status parameters of the transformer to be monitored within a preset monitoring time, performs molecular simulation using the operating status parameters to obtain a molecular model, and then uses the molecular model to simulate the process of bubble generation within the transformer to obtain the bubble moisture parameters corresponding to the transformer. Combined with a preset bubble initiation temperature model, the bubble initiation temperature of the transformer can be quickly obtained. This overcomes the low accuracy of obtaining the transformer bubble initiation temperature through high-voltage tests using insulating paperboards with different moisture contents. Compared with traditional bubble initiation temperature methods, this invention obtains the transformer bubble moisture parameters through molecular simulation of operating status parameters, avoiding the influence of equipment, environment, human factors, and other factors on the monitoring process, thereby improving the accuracy of the transformer bubble initiation temperature. Furthermore, by guiding the operation of the transformer using the transformer bubble initiation temperature, the reliability of transformer operation is improved.

[0059] Please see Figure 2 , Figure 2This is a flowchart illustrating the steps of a transformer monitoring method based on molecular simulation and bubble initiation temperature, as provided in Embodiment 2 of the present invention.

[0060] This invention provides a transformer monitoring method based on molecular simulation and bubble initiation temperature, comprising:

[0061] Step 201: Obtain the operating status parameters of the transformer to be monitored within a preset monitoring time, and perform molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored.

[0062] Furthermore, the operating status parameters include the water content in the oil and the operating time. Step 201 includes the following sub-steps:

[0063] S11. Input the water content in the oil into the preset insulating oil model library to obtain the target insulating oil model;

[0064] In this embodiment of the invention, the water content in the oil is compared one by one with the insulating oil models in the preset insulating oil model library to match the corresponding target insulating oil model.

[0065] It should be noted that the insulating oil model library contains multiple insulating oil models with different water contents, and the insulating oil models are constructed using Material Studio molecular simulation software.

[0066] S12. Input the running time and water content in the oil into the preset insulation paper model library to obtain the target insulation paper model;

[0067] In this embodiment of the invention, the running time and water content in the oil are compared one by one with the insulation paper models in the preset insulation paper model library to match the corresponding target insulation paper model.

[0068] It should be noted that the insulating paper model library contains multiple insulating paper models with different aging levels, and the insulating paper models are constructed using Material Studio molecular simulation software.

[0069] S13. Perform geometric optimization on the target insulating oil model and the target insulating paper model to generate a combined optimization model;

[0070] In this embodiment of the invention, the target insulating oil model and the target insulating paper model are spliced ​​together to obtain a combined model. The geometric optimization task of Material Studio molecular simulation software is then used to perform geometric optimization on the combined model to obtain a combined optimized model.

[0071] S14. According to the preset annealing temperature range, the combined optimization model is subjected to energy cycle annealing to obtain the molecular model corresponding to the transformer to be monitored.

[0072] Annealing temperature range refers to the temperature range (300k-900k) of the energy cycle annealing process in the combined optimization model.

[0073] In this embodiment of the invention, energy cycle annealing is performed at least 50 times within a temperature range of 300k-900k to stabilize the combined optimization model and obtain the molecular model corresponding to the transformer to be monitored.

[0074] Step 202: Under the preset multi-coupled physical field, molecular models are used to conduct isothermal and isothermal simulation experiments and isothermal and isothermal simulation experiments respectively to obtain the data on the number of water molecules and the distribution of oxygen-hydrogen bonds.

[0075] In this embodiment of the invention, under the action of a preset multi-coupled physical field, a molecular model is used to conduct isothermal and constant-volume simulation experiments (NVT) and isothermal and constant-pressure simulation experiments (NPT) to obtain data on the number of water molecules and the distribution of oxygen-hydrogen bonds (OH bond distribution data).

[0076] Step 203: Ratio the number of water molecules to the preset Avogaro constant to obtain the number of water moles;

[0077] In this embodiment of the invention, the ratio between the number of water molecules and a preset Avogaro constant is calculated to obtain the molar quantity of water.

[0078] Step 204: Perform probability density analysis on the oxygen-hydrogen bond distribution data using the radial distribution algorithm to obtain the bubble radius;

[0079] In this embodiment of the invention, oxygen-hydrogen bond distribution data (i.e. OH bond distribution data) are input into a preset radial distribution function (RDF) to obtain the bubble radius.

[0080] Step 205: Use the number of water moles and the bubble radius as the bubble moisture parameters corresponding to the transformer to be monitored.

[0081] In this embodiment of the invention, the molar amount of water and the bubble radius are used as the bubble moisture parameters corresponding to the transformer to be monitored.

[0082] Step 206: Determine the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and the preset bubble initiation temperature model;

[0083] Furthermore, step 206 includes the following sub-steps:

[0084] S21. Input the bubble moisture parameters into the preset bubble initiation temperature model to obtain the initial bubble initiation temperature;

[0085] In this embodiment of the invention, the number of water moles and the bubble radius are input into a preset bubble initiation temperature model to generate an initial bubble initiation temperature;

[0086] It should be noted that the bubble initiation temperature model is as follows:

[0087]

[0088] in, The initial bubble initiation temperature. The viscosity of the insulating oil. This represents the number of moles of water. The molar gas constant, Where is the bubble radius. For time, The surface tension of the insulating oil, This refers to the density of the insulating oil.

[0089] It is worth mentioning that the driving force for bubble growth in transformer oil mainly comes from the internal pressure of the bubbles, while the resistance comes from the viscosity of the insulating oil and the external atmospheric pressure. Combining the Navier-Stokes equation in spherical coordinates with surface tension, viscosity, etc., the equation of motion of bubbles in insulating oil can be obtained as follows:

[0090]

[0091] in, The pressure inside the bubble. This represents the pressure outside the bubble.

[0092] The expression for the pressure inside the bubble is:

[0093]

[0094] in, This represents the internal volume of the bubble.

[0095] The expression for the pressure outside the bubble is:

[0096]

[0097] in, Atmospheric pressure. This refers to the pressure exerted by the insulating oil on the air bubbles. It is the acceleration due to gravity. This represents the height difference between the outer interface of the bubble and the top of the insulating oil. The bubble initiation temperature model can be obtained by coupling the above formula.

[0098] S22. The initial bubble initiation temperature and the preset experimental correction value are summed to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

[0099] In this embodiment of the invention, the sum of the initial bubble initiation temperature and the preset experimental correction value is calculated to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

[0100] It should be noted that the specific process for obtaining the experimental correction value is as follows: 1. Obtain laboratory gradient moisture content test data. 2. Input the laboratory gradient moisture content test data into a preset bubble initiation temperature model to obtain the test bubble initiation temperature data. 3. Calculate the difference between the initiation temperature of each test bubble in the test bubble initiation temperature data and the standard bubble initiation temperature in the laboratory gradient moisture content test data. 4. Average all the differences to obtain the experimental correction value.

[0101] Step 207: Based on the comparison results between the bubble initiation temperature and the operating status parameters, determine whether the transformer under monitoring is at risk of breakdown.

[0102] Furthermore, step 207 includes the following sub-steps:

[0103] S31. Determine whether the oil temperature, a parameter of the operating status, is lower than the bubble initiation temperature;

[0104] S32. If the oil temperature is greater than or equal to the bubble initiation temperature, the transformer under monitoring is deemed to be at risk of breakdown.

[0105] In this embodiment of the invention, it is determined whether the oil temperature, a parameter of the operating status, is lower than the bubble initiation temperature. If the oil temperature is greater than or equal to the bubble initiation temperature, it is determined that the transformer under monitoring is at risk of breakdown, and the operator is prompted to reduce the operating power of the transformer under monitoring and increase the oil flow rate to lower the temperature.

[0106] S33. If the oil temperature is lower than the bubble initiation temperature, it is determined that the transformer under monitoring does not have a risk of breakdown.

[0107] In this embodiment of the invention, when the oil temperature is lower than the bubble initiation temperature, it is determined that the transformer under monitoring does not have a risk of breakdown, and the next monitoring time is waited for to reacquire the operating status parameters and monitor the transformer under monitoring.

[0108] In this embodiment of the invention, the operating status parameters of the transformer to be monitored within a preset monitoring time are obtained, and molecular simulation is performed using these parameters to obtain a molecular model. This molecular model is then used to simulate the trend of bubble formation within the transformer, thereby obtaining the bubble moisture parameters corresponding to the transformer. Combined with a preset bubble initiation temperature model, the bubble initiation temperature of the transformer can be quickly obtained. This overcomes the low accuracy of obtaining the transformer bubble initiation temperature through high-voltage tests using insulating paperboards with different moisture contents. Compared with traditional bubble initiation temperature methods, this invention obtains the transformer's bubble moisture parameters through molecular simulation of operating status parameters, avoiding the influence of equipment, environment, and human factors during the monitoring process. This improves the accuracy of the transformer bubble initiation temperature and, by guiding the transformer's operation with the bubble initiation temperature, enhances the reliability of transformer operation.

[0109] Please see Figure 3 , Figure 3 This is a structural block diagram of a transformer monitoring system based on molecular simulation and bubble initiation temperature, provided in Embodiment 3 of the present invention.

[0110] This invention provides a transformer monitoring system based on molecular simulation and bubble initiation temperature, comprising:

[0111] The operating status parameter extraction module 301 is used to obtain the operating status parameters of the transformer to be monitored within a preset monitoring time, and to perform molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored.

[0112] Molecular simulation module 302 is used to perform dynamic simulation experiments using molecular models to obtain the bubble moisture parameters corresponding to the transformer to be monitored.

[0113] The model calculation module 303 is used to determine the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and the preset bubble initiation temperature model.

[0114] The output parameter execution module 304 is used to determine whether the transformer under monitoring is at risk of breakdown based on the comparison results between the bubble initiation temperature and the operating status parameters.

[0115] Furthermore, the operating status parameters include the water content in the oil and the operating time. The operating status parameter extraction module 301 includes:

[0116] The first matching submodule is used to input the water content in the oil into a preset insulating oil model library to obtain the target insulating oil model.

[0117] The second matching submodule is used to input the running time and water content in the oil into a preset insulating paper model library to obtain the target insulating paper model;

[0118] The geometry optimization submodule is used to perform geometric optimization on the target insulating oil model and the target insulating paper model to generate a combined optimization model.

[0119] The annealing submodule is used to perform energy cycle annealing on the combined optimization model according to the preset annealing temperature range to obtain the molecular model corresponding to the transformer to be monitored.

[0120] Furthermore, the molecular simulation module 302 includes:

[0121] The simulation experiment submodule is used to conduct isothermal and isothermal-volume simulation experiments and isothermal and isothermal-pressure simulation experiments using molecular models under a preset multi-coupled physical field to obtain data on the number of water molecules and the distribution of oxygen-hydrogen bonds.

[0122] The ratio submodule is used to process the ratio of the number of water molecules to the preset Avogaro constant to obtain the number of water moles;

[0123] The bubble radius acquisition submodule is used to perform probability density analysis on oxygen-hydrogen bond distribution data using a radial distribution algorithm to obtain the bubble radius.

[0124] The bubble moisture parameter submodule is used to use the number of moisture moles and the bubble radius as the bubble moisture parameters corresponding to the transformer to be monitored.

[0125] Furthermore, the model calculation module 303 includes:

[0126] The parameter input submodule is used to input the bubble moisture parameters into the preset bubble initiation temperature model to obtain the initial bubble initiation temperature;

[0127] The summation submodule is used to sum the initial bubble initiation temperature and the preset experimental correction value to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

[0128] Furthermore, the output parameter execution module 304 includes:

[0129] The first analysis submodule is used to determine whether the oil temperature, a parameter of the operating status, is lower than the bubble initiation temperature.

[0130] The second analysis submodule is used to determine that the transformer under monitoring is at risk of breakdown if the oil temperature is greater than or equal to the bubble initiation temperature.

[0131] The third analysis submodule is used to determine that the transformer under monitoring does not have a risk of breakdown if the oil temperature is lower than the bubble initiation temperature.

[0132] Furthermore, the bubble initiation temperature model is as follows:

[0133]

[0134] in, The initial bubble initiation temperature. The viscosity of the insulating oil. This represents the number of moles of water. The molar gas constant, Where is the bubble radius. For time, The surface tension of the insulating oil, This refers to the density of the insulating oil.

[0135] Please see Figure 4 , Figure 4 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention.

[0136] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402. The memory 402 stores a computer program. When the computer program is executed by the processor 402, the processor 402 executes the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the above embodiments.

[0137] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for performing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing the various steps in the methods described above. This program code may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, CDs, memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When run by a computing processing device, this code causes the computing processing device to perform the various steps in the methods described above. This program code may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, CDs, memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When this code is run by a computing device, it causes the device to perform the various steps in the transformer monitoring method based on molecular simulation and bubble initiation temperature described above.

[0138] Embodiment 5 of the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the above embodiments.

[0139] Embodiment 6 of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any of the above embodiments.

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0141] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0142] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0143] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0144] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0145] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A transformer monitoring method based on molecular simulation and bubble initiation temperature, characterized in that, include: The operating status parameters of the transformer to be monitored within a preset monitoring time are obtained, and the operating status parameters are processed by molecular simulation to obtain the molecular model corresponding to the transformer to be monitored. The molecular model was used to conduct a kinetic simulation experiment to obtain the bubble moisture parameters corresponding to the transformer to be monitored. Based on the bubble moisture parameters and the preset bubble initiation temperature model, the bubble initiation temperature corresponding to the transformer to be monitored is determined. Based on the comparison between the bubble initiation temperature and the operating status parameters, it is determined whether the transformer under monitoring is at risk of breakdown. The operating status parameters include water content in the oil, oil temperature, and operating time. The step of performing molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored includes: The water content in the oil is input into a preset insulating oil model library to obtain the target insulating oil model; The running time and the water content in the oil are input into a preset insulating paper model library to obtain the target insulating paper model; The target insulating oil model and the target insulating paper model are spliced ​​together to obtain a corresponding combined model, and the combined model is geometrically optimized to generate a combined optimized model. According to the preset annealing temperature range, the combined optimization model is subjected to energy cycle annealing to obtain the molecular model corresponding to the transformer to be monitored; The step of using the molecular model to conduct a dynamic simulation experiment to obtain the bubble moisture parameters corresponding to the transformer to be monitored includes: Under a preset multi-coupled physical field, the molecular model was used to conduct isothermal and isothermal-volume simulation experiments and isothermal and isothermal-pressure simulation experiments to obtain data on the number of water molecules and the distribution of oxygen-hydrogen bonds. The number of water molecules is compared with a preset Avogadro constant to obtain the number of water moles; The radial distribution algorithm is used to perform probability density analysis on the oxygen-hydrogen bond distribution data to obtain the bubble radius; The number of water moles and the bubble radius are used as the bubble moisture parameters corresponding to the transformer to be monitored.

2. The transformer monitoring method based on molecular simulation and bubble initiation temperature according to claim 1, characterized in that, The step of determining the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and a preset bubble initiation temperature model includes: The bubble moisture parameters are input into a preset bubble initiation temperature model to obtain the initial bubble initiation temperature; The initial bubble initiation temperature and the preset experimental correction value are summed to obtain the bubble initiation temperature corresponding to the transformer to be monitored.

3. The transformer monitoring method based on molecular simulation and bubble initiation temperature according to claim 1, characterized in that, The step of determining whether the transformer under monitoring has a risk of breakdown based on the comparison result of the bubble initiation temperature and the operating status parameters includes: Determine whether the oil temperature of the operating status parameter is lower than the bubble initiation temperature; If the oil temperature is greater than or equal to the bubble initiation temperature, the transformer under monitoring is determined to be at risk of breakdown. If the oil temperature is lower than the bubble initiation temperature, it is determined that the transformer under monitoring does not have a risk of breakdown.

4. The transformer monitoring method based on molecular simulation and bubble initiation temperature according to claim 1, characterized in that, The bubble initiation temperature model is specifically as follows: ； in, The initial bubble initiation temperature. The viscosity of the insulating oil. This represents the number of moles of water. The molar gas constant, Where is the bubble radius. For time, The surface tension of the insulating oil, This refers to the density of the insulating oil.

5. A transformer monitoring system based on molecular simulation and bubble initiation temperature, used to implement the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any one of claims 1-4, characterized in that, include: The operating status parameter extraction module is used to obtain the operating status parameters of the transformer to be monitored within a preset monitoring time, and to perform molecular simulation processing on the operating status parameters to obtain the molecular model corresponding to the transformer to be monitored. The molecular simulation module is used to perform dynamic simulation experiments using the molecular model to obtain the bubble moisture parameters corresponding to the transformer to be monitored. The model calculation module is used to determine the bubble initiation temperature corresponding to the transformer to be monitored based on the bubble moisture parameters and the preset bubble initiation temperature model. The output parameter execution module is used to determine whether the transformer under monitoring is at risk of breakdown based on the comparison result between the bubble initiation temperature and the operating status parameters.

6. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any one of claims 1-4.

8. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the transformer monitoring method based on molecular simulation and bubble initiation temperature as described in any one of claims 1-4.

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