Transformer life index prediction method and device, electronic equipment and storage medium
By obtaining the temperature and operating time of the dry transformer and calculating the insulation performance values of each part, the problem of life prediction deviation in the prior art is solved, and more accurate life prediction is achieved.
Patent Information
- Application Number
- CN202411818154.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-04-04
AI Technical Summary
The existing dry transformer life expectancy prediction methods cannot accurately evaluate the life expectancy in actual operating state, and there are certain deviations.
By obtaining the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer, the insulation performance value of each part is determined based on these parameters, and the target life index is then calculated.
It improves the prediction accuracy of transformer life and can more accurately reflect the insulation performance and life in actual operating conditions.
Smart Images
Figure CN119760992A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of transformer monitoring, and in particular to a transformer life index prediction method, device, electronic equipment and storage medium. Background Art
[0002] The life evaluation of dry-type transformers is an important means to ensure their safe, stable and long-life operation. At present, the expected life of dry-type transformers is calculated theoretically based on constant temperature, which is only of reference significance. In addition, the existing life prediction is mainly based on simulation model prediction, which has a certain deviation from the actual operating state of dry-type transformers and cannot accurately evaluate the life of dry-type transformers under actual operating conditions. Therefore, how to accurately predict the life of transformers is an urgent problem to be solved. Summary of the invention
[0003] The embodiments of the present application provide a transformer life index prediction method, device, electronic device and storage medium, which improve the accuracy of transformer life prediction.
[0004] In a first aspect, an embodiment of the present application provides a transformer life index prediction method, the method comprising:
[0005] Obtain the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer corresponding to the current moment;
[0006] Determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time;
[0007] Determine the insulation performance value of the low-voltage winding corresponding to the target transformer based on the low-voltage winding temperature and the operating time;
[0008] Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time;
[0009] Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value;
[0010] A target life index corresponding to the target transformer is determined based on the target insulation performance value.
[0011] In a second aspect, an embodiment of the present application provides a transformer life index prediction device, the transformer life index prediction device comprising: an acquisition unit and a processing unit;
[0012] An acquisition unit, used to acquire the high-voltage winding temperature, the low-voltage winding temperature, the core temperature and the operating time of the target transformer corresponding to the current moment;
[0013] A processing unit, used to determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time;
[0014] Determine the insulation performance value of the low-voltage winding corresponding to the target transformer based on the low-voltage winding temperature and the operating time;
[0015] Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time;
[0016] Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value;
[0017] A target life index corresponding to the target transformer is determined based on the target insulation performance value.
[0018] In a third aspect, an embodiment of the present invention provides an electronic device, comprising: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor so that the electronic device executes the method of the first aspect.
[0019] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method of the first aspect.
[0020] In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, so that a computer executes the method of the first aspect.
[0021] The implementation of the present invention has the following beneficial effects:
[0022] It can be seen that the transformer life index prediction method described in the embodiment of the present invention includes: obtaining the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer corresponding to the target transformer at the current moment, determining the high-voltage winding insulation performance value corresponding to the target transformer based on the high-voltage winding temperature and the operating time, determining the low-voltage winding insulation performance value corresponding to the target transformer based on the low-voltage winding temperature and the operating time, determining the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time, determining the target insulation performance value based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value and the core insulation performance value, and determining the target life index corresponding to the target transformer based on the target insulation performance value, thereby improving the accuracy of transformer life prediction. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the implementation methods of the present application or the background technology, the drawings required for use in the implementation methods of the present application or the background technology will be described below.
[0024] Figure 1 It is a flow chart of a transformer life index prediction method provided by an embodiment of the present application;
[0025] Figure 2 It is a structural schematic diagram of a data acquisition device provided in an embodiment of the present application;
[0026] Figure 3 It is a structural schematic diagram of a transformer life index prediction device provided in an embodiment of the present application;
[0027] Figure 4 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the implementation mode of the present application will be clearly and completely described below in conjunction with the drawings in the implementation mode of the present application. Obviously, the described implementation mode is only a part of the implementation mode of the present application, not all the implementation modes. Based on the implementation mode in the present application, all other implementation modes obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0029] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.
[0030] Reference to "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0031] See also Figure 1 , Figure 1: is a flowchart of a transformer life index prediction method provided by an embodiment of the present application, including but not limited to the following steps:
[0032] S101: Obtaining the high-voltage winding temperature, the low-voltage winding temperature, the core temperature and the operating time of the target transformer corresponding to the current moment.
[0033] In this embodiment, the high voltage winding temperature, low voltage winding temperature, core temperature and operation time of the target transformer corresponding to the current moment can be obtained through a data acquisition device. Specifically, the data acquisition device includes a temperature sensor and a timer. Figure 2 , Figure 2 2 is a structural diagram of a data acquisition device provided in an embodiment of the present application, wherein the data acquisition device 200 includes a temperature sensor 201 and a timer 202. The implantation position of the temperature sensor 201 is affected by the type of the target transformer. The temperature sensor 201 is a special device, which has the characteristics of being implanted inside the target transformer without affecting the original performance of the target transformer, and the data acquisition capability is not affected by the operation of the target transformer, nor will it affect the normal operation of the target transformer. The timer 202 can accurately record the time, is not affected by external interference and the transformer operating environment, ensures the accuracy of the recorded operating time, and is synchronized with the data acquisition of the temperature sensor 201, ensuring that the corresponding relationship between the temperature data and the operating time data on the time axis is accurate. The high-voltage winding temperature refers to the temperature of the high-voltage winding of the transformer at the current moment. This temperature is very important for evaluating the insulation performance, thermal stability and possible thermal aging of the high-voltage winding. It reflects the degree of heat generated by the high-voltage winding during operation. Excessive temperature may damage the insulation material and affect the normal operation and life of the transformer. The low-voltage winding temperature is the temperature of the low-voltage winding of the transformer at the current moment. Similar to the high-voltage winding temperature, the low-voltage winding temperature can reflect the working state and thermal condition of the low-voltage winding, and help judge its insulation performance and potential failure risks. The core temperature is the temperature of the transformer core at the current moment. Monitoring the core temperature helps to understand the changes in the magnetic properties of the core, the loss situation and possible local overheating problems, which is of great significance to ensuring the efficiency and reliability of the transformer. The operating time of the target transformer refers to the time from the start of operation to the current moment. The operating time is an important parameter for evaluating the overall aging and reliability of the transformer. Generally, the longer the operating time, the greater the possibility of aging of transformer components and performance degradation.
[0034] It should be noted that the target transformer in the present embodiment can be a dry-type transformer. The dry-type transformer uses non-combustible or flame-retardant materials, is not easy to burn in the event of a fire, reduces the risk of fire, and is suitable for places with high fire protection requirements. It is relatively small in size, light in weight, and flexible in installation. No special oil storage facilities are required. It is relatively small in size, light in weight, and flexible in installation. No special oil storage facilities are required. Heat is dissipated through natural air convection or forced air cooling, and the heat dissipation efficiency is relatively high. The life assessment of dry-type transformers is an important means to ensure their safe, stable and long-life operation, which helps to optimize maintenance plans, plan work in advance, avoid power outages and production interruptions, improve power supply reliability, reduce operating costs, arrange resources reasonably, avoid unnecessary replacement and maintenance costs, ensure the stability of the power system, prevent the impact of transformer failure on system stability, and be able to reasonably adjust the load at the end of its life and make full use of the residual value of the transformer, which can improve safety and avoid safety hazards caused by aging.
[0035] S102: Determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time.
[0036] In this embodiment, illustratively, the initial high-voltage winding insulation performance value corresponding to the target transformer is first determined, and then the high-voltage winding insulation performance value corresponding to the target transformer is determined based on the initial high-voltage winding insulation performance value, the high-voltage winding temperature, and the operating time, and is specifically calculated according to the following formula:
[0037]
[0038] Among them, f(t1) is the insulation performance value of the high-voltage winding, f(1) is the initial insulation performance value of the high-voltage winding, T1 is the temperature of the high-voltage winding, t1 is the operating time, and A and B are both constants.
[0039] S103: Determine the insulation performance value of the low voltage winding corresponding to the target transformer based on the low voltage winding temperature and the operating time.
[0040] In this embodiment, the initial low-voltage winding insulation performance value corresponding to the target transformer is first determined, and then the low-voltage winding insulation performance value corresponding to the target transformer is determined based on the initial low-voltage winding insulation performance value, the low-voltage winding temperature, and the operating time, and is specifically calculated according to the following formula:
[0041]
[0042] Among them, f(t2) is the insulation performance value of the low-voltage winding, f(2) is the initial insulation performance value of the low-voltage winding, T2 is the low-voltage winding temperature, and t2 is the operating time.
[0043] S104: Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time.
[0044] In this implementation, the initial core temperature corresponding to the target transformer is first determined, and then the core insulation performance value corresponding to the target transformer is determined based on the initial core temperature, the core temperature, and the operating time, and is specifically calculated according to the following formula:
[0045]
[0046] Where, f(t3) is the insulation performance value of the core, f(3) is the initial core temperature, T3 is the core temperature, and t3 is the operating time.
[0047] It can be seen that each formula comprehensively considers the initial insulation performance value, operating time and temperature of the corresponding parts, and fully considers the key factors affecting the insulation performance, making the evaluation results more accurate and reliable. It can dynamically calculate the insulation performance value based on real-time temperature and operating time data, and timely reflect the changes in the insulation conditions of various parts of the transformer. It can perform independent calculations on different key parts of the transformer, and can more specifically analyze the insulation performance of each part, providing data support for refined maintenance and management.
[0048] S105: Determine a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value.
[0049] In this embodiment, exemplarily, the first reference weight corresponding to the insulation performance value of the high-voltage winding, the second reference weight corresponding to the insulation performance value of the low-voltage winding, and the third reference weight corresponding to the insulation performance value of the core are determined, and the sum of the first reference weight, the second reference weight and the third reference weight is 1. When the load power increases, the current in the high-voltage winding will increase, so that the winding will generate more heat. High temperature will accelerate the aging and degradation of the insulating material, reduce the insulation performance value of the high-voltage winding, and a larger load power may cause a stronger electromagnetic force to act on the winding. Long-term action may cause physical deformation or displacement of the winding, affecting the integrity of the insulation structure, thereby reducing the insulation performance value, and may also make the electric field distribution uneven, increase the possibility of partial discharge, which will damage the insulating material and reduce the insulation performance value of the high-voltage winding. Therefore, it is necessary to determine the load power corresponding to the target transformer at the current moment, and then determine the first adjustment parameter based on the load power. Specifically, it can be a mapping relationship between the preset load power and the adjustment parameter. The first adjustment parameter corresponding to the load power can be determined based on the mapping relationship. Then, the first reference weight is adjusted based on the first adjustment parameter to obtain the first target weight. Specifically, the specific calculation formula is as follows: first target weight = first reference weight × (1 + first adjustment parameter). The first target weight can be obtained according to the above formula. Since the increase in core loss means that more energy is lost in the form of heat energy, resulting in an increase in the core temperature, and high temperature will accelerate the aging of the insulating material, causing its insulation performance to decrease, thereby reducing the core insulation performance value. Larger core losses may cause stronger electromagnetic vibrations, and long-term effects may cause mechanical damage to the core insulation structure, affecting its insulation performance. Local overheating may occur in areas where losses are concentrated, which will cause the local insulation material to deteriorate faster, reduce the insulation performance of the area, and further affect the overall core insulation performance value. Therefore, the core loss value corresponding to the target transformer at the current moment is first determined, and then the second adjustment parameter corresponding to the core loss value is determined, which may be a mapping relationship between a preset core loss value and an adjustment parameter. Based on the mapping relationship, the second adjustment parameter corresponding to the core loss value can be determined. Exemplarily, the third reference weight is adjusted based on the second adjustment parameter to obtain the third target weight. Specifically, the specific calculation formula is as follows: third target weight = third reference weight × (1 + second adjustment parameter). The third target weight can be obtained according to the above formula. Exemplarily, the second reference weight is adjusted based on the first target weight and the third target weight to obtain the second target weight. Specifically, after determining the first target weight and the third target weight, since the sum of the first reference weight, the second reference weight and the third reference weight is 1, the sum of the first target weight, the second target weight and the third target weight is also 1, so the second target weight can be determined according to the first target weight and the third target weight.
[0050] It can be seen that the influence of load power and core loss on the insulation performance of high-voltage windings and cores is fully considered. The evaluation results can better reflect the actual situation through weight adjustment, and the accurate evaluation of the insulation performance of the transformer is realized. According to the real-time changes of load power and core loss during the operation of the transformer, the weights of the insulation performance values of the relevant parts can be dynamically adjusted, so that the evaluation has real-time and adaptability. It not only pays attention to the initial insulation performance values of each part, but also takes into account the key influencing factors in operation, and comprehensively reflects the comprehensive effect of the actual working state of the transformer on the insulation performance, which provides more scientific and accurate data support for the operation and maintenance, load management and other decisions of the transformer, which is conducive to improving the operation reliability and economy of the transformer. By accurately evaluating the insulation performance, it can more effectively prevent transformer damage caused by insulation failure and improve the overall reliability of the power system.
[0051] Exemplarily, the target insulation performance value is determined based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight. Specifically, the reference insulation performance value corresponding to the target transformer is first determined based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight. The specific calculation formula is as follows: reference insulation performance value = first target weight × high-voltage winding insulation performance value + second target weight × low-voltage winding insulation performance value + third target weight × core insulation performance value. The reference insulation performance value can be obtained according to the above formula.
[0052] It can be seen that the reference insulation performance value is calculated by combining the insulation performance values of the high-voltage winding, low-voltage winding and iron core and the corresponding weights, which can comprehensively consider the contribution of different key parts of the transformer to the overall insulation performance. Through the allocation of weights, it can more accurately reflect the relative importance of each part to the overall insulation performance under different operating conditions, making the evaluation results more in line with the actual situation, and helping to adjust the operation mode of the transformer according to the insulation performance evaluation results, such as load distribution, so as to extend the service life of the transformer and improve the operating efficiency.
[0053] Since higher ambient temperature will accelerate the chemical changes and thermal degradation process of the insulating material, causing its performance to gradually decline, thereby reducing the insulation performance value, when the ambient temperature rises, the resistance of the insulating material will decrease, increasing the risk of current leakage, affecting the insulation performance value, and may cause the insulating material to expand, shrink or deform, affecting its structural integrity, thereby damaging the insulation performance, and is not conducive to the dissipation of heat inside the transformer, causing the internal temperature of the transformer to rise, further aggravating the aging and performance degradation of the insulating material, and reducing the insulation performance value, so the ambient temperature corresponding to the target transformer at the current moment is obtained, and then the first optimization factor corresponding to the ambient temperature is determined. Specifically, it can be a mapping relationship between a preset ambient temperature and the optimization factor, and the first optimization factor corresponding to the ambient temperature can be determined based on the mapping relationship.
[0054] As the operating current increases, the resistance loss in the transformer winding increases, thereby generating more heat, which will cause the winding temperature to rise. High temperature will accelerate the aging and degradation of the insulating material and reduce the insulation performance value. In addition, a larger operating current will generate a stronger electromagnetic force, which may cause the winding to displace, vibrate or deform. Under long-term action, it will destroy the integrity of the insulation structure and affect the insulation performance. In addition, the increase in current may aggravate the uneven distribution of the electric field and increase the probability of partial discharge. Partial discharge will corrode the insulating material and reduce the insulation performance value. Therefore, the operating current corresponding to the target transformer at the current moment is obtained, and the second optimization factor corresponding to the operating current is determined. Specifically, it can be the corresponding relationship between the preset operating current and the optimization factor. Based on this mapping relationship, the second optimization factor corresponding to the operating current can be determined.
[0055] Exemplarily, the reference insulation performance value is adjusted according to the first optimization factor and the second optimization factor to obtain the target insulation performance value. The specific calculation formula is as follows: target insulation performance value = reference insulation performance value × (1 + first optimization factor) × (1 + second optimization factor). The target insulation performance value can be obtained according to the above formula.
[0056] It can be seen that the two factors of ambient temperature and operating current that have an important impact on the insulation performance of the transformer are fully incorporated, making the evaluation of the insulation performance more comprehensive and accurate. By introducing the optimization factors corresponding to the ambient temperature and operating current, and adjusting them based on specific formulas, it can more accurately reflect the insulation performance of the transformer under actual complex operating conditions. It can dynamically adjust the insulation performance value according to the real-time changing ambient temperature and operating current, so that it can better reflect the current actual insulation condition. A more accurate insulation performance evaluation helps to ensure the safe and stable operation of the transformer and reduce the possibility of accidents caused by insulation failures.
[0057] S106: Determine a target life index corresponding to the target transformer based on the target insulation performance value.
[0058] In this embodiment, the insulation performance threshold corresponding to the target transformer is first determined. When the target insulation performance value is less than or equal to the insulation performance threshold, the target life index is determined to be 0. When the target insulation performance value is greater than the insulation performance threshold, historical operation data corresponding to multiple reference transformers in historical time periods are obtained to obtain multiple historical operation data, each reference transformer corresponds to one historical operation data, and the type of the reference transformer is the same as the type of the target transformer. Then, the target life index of the target transformer is determined based on the historical operation data.
[0059] It can be seen that by setting the insulation performance threshold, it is possible to clearly distinguish between situations where the insulation performance is severely deteriorated and relatively good, providing a clear starting basis for the subsequent determination of the life index. When the target insulation performance value is less than or equal to the threshold, the life index is directly determined to be 0, which simplifies the evaluation process and improves the evaluation efficiency. For situations where the target insulation performance value is good, the target life index is determined by obtaining the historical operating data of the same type of reference transformer, making full use of existing experience and data to make the evaluation more scientific and reasonable. By referring to the data of the same type of transformer, the general performance characteristics and aging laws of this type of transformer can be taken into account, thereby more accurately predicting the life index of the target transformer.
[0060] Exemplarily, a mapping relationship corresponding to each reference transformer in a plurality of reference transformers is determined based on a plurality of historical operation data, and a plurality of mapping relationships are obtained, each mapping relationship corresponds to a reference transformer, and the mapping relationship is used to characterize the corresponding relationship between the insulation performance value and the life index. Specifically, each mapping relationship in the plurality of mapping relationships corresponds to a relationship curve, so it is necessary to determine the relationship curve corresponding to each reference transformer in the plurality of reference transformers. Exemplarily, n insulation performance values and n life indexes in the first historical operation data are determined, where n is an integer, the first historical operation data is the historical operation data corresponding to the first reference transformer in the plurality of historical operation data, each insulation performance value corresponds to a life index, and the first reference transformer is any reference transformer in the plurality of reference transformers, and then the n insulation performance values and the n life indexes are mapped to the coordinate axis to obtain a relationship curve of the first reference transformer, where the horizontal axis of the target relationship curve is the insulation performance value, and the vertical axis is the life index.
[0061] It can be seen that presenting the relationship between the insulation performance value and the life index in the form of a curve is more intuitive and clear, which is convenient for observing and analyzing the changing trend between the two. Determining a separate relationship curve for each reference transformer can fully take into account the possible performance differences and aging characteristics differences between different individual transformers. By mapping specific numerical values to the coordinate axis, the corresponding relationship between the insulation performance value and the life index in each reference transformer can be more accurately determined, providing strong support for the subsequent accurate evaluation of the life index of the target transformer.
[0062] Exemplarily, multiple reference life indices corresponding to the target insulation performance value are determined based on multiple mapping relationships. Specifically, the mapping relationship corresponding to each reference transformer, that is, the corresponding relationship between the insulation performance value and the life index, has been obtained. After the target insulation performance value is determined, it is compared with the mapping relationship of each reference transformer. For each mapping relationship, the life index corresponding to the insulation performance value closest to the target insulation performance value in its curve is found. Since the mapping relationship of each reference transformer may be different, for the same target insulation performance value, the life index corresponding to the closest insulation performance value found from different reference transformer mapping relationships may also be different. In this way, multiple reference life indices corresponding to the target insulation performance value are obtained, and each reference life index comes from the mapping relationship of a different reference transformer. For example, assuming that there are three mapping relationships of reference transformers, the target insulation performance value is X, in the mapping relationship of the first reference transformer, the insulation performance value closest to X is X1, and its corresponding life index is Y1, in the mapping relationship of the second reference transformer, the insulation performance value closest to X is X2, and its corresponding life index is Y2, in the mapping relationship of the third reference transformer, the insulation performance value closest to X is X3, and its corresponding life index is Y3, then Y1, Y2 and Y3 are multiple reference life indices corresponding to the target insulation performance value X determined based on these three mapping relationships.
[0063] It can be seen that by obtaining the mapping relationship of multiple reference transformers to determine the reference life index corresponding to the target insulation performance value, the experience and characteristics of different transformers can be integrated to make the evaluation results more reliable and representative. By obtaining the mapping relationship of multiple reference transformers to determine the reference life index corresponding to the target insulation performance value, the experience and characteristics of different transformers can be integrated to make the evaluation results more reliable and representative. Different reference transformers may differ in operating conditions, use environment, etc. Combining their mapping relationships can better reflect the relationship between insulation performance and life index in various situations, making the evaluation results more comprehensive. Based on multiple reference life indices, the evaluation methods and models can be continuously optimized and improved to improve the accuracy and reliability of transformer life evaluation in the future.
[0064] Exemplarily, the target life index corresponding to the target transformer is determined based on multiple reference life indexes. Specifically, the average value of multiple reference life indexes is first determined to obtain the average life index. Since a higher insulation resistance value usually indicates that the insulation condition of the transformer is good, it means that the insulating material can effectively prevent current leakage, reduce partial discharge and heat generation, thereby slowing down the aging and deterioration rate of the insulating material, which is conducive to extending the service life of the transformer and improving its life index. A lower insulation resistance value indicates that the insulation performance is reduced, which may lead to more current leakage, increase the risk of partial discharge, generate more heat, accelerate the aging, embrittlement and damage of the insulating material, and in the long run, it will seriously shorten the effective service life of the transformer and reduce its life index. Therefore, the insulation resistance value corresponding to the target transformer is first determined, and then the target fine-tuning parameter corresponding to the insulation resistance value is determined. Specifically, it can be a mapping relationship between a preset insulation resistance value and a fine-tuning parameter. Based on the mapping relationship, the target fine-tuning parameter corresponding to the insulation resistance value can be determined. Exemplarily, the average life index is fine-tuned based on the target fine-tuning parameter to obtain the target life index. Specifically, the specific calculation formula is as follows: target life index = average life index × (1 + target fine-tuning parameter); the target life index can be obtained according to the above formula. After the target life index is obtained, the remaining life of the target transformer can be determined according to the target life index.
[0065] It can be seen that by calculating the average value of multiple reference life indexes, the information of multiple references is integrated, and the individual differences that may exist in different reference transformers are balanced, making the results more stable and reliable. The target fine-tuning parameters corresponding to the insulation resistance value are introduced, and the influence of the insulation resistance of the transformer on the life is fully considered, making the determination of the life index more comprehensive and accurate. Fine-tuning the average life index can more finely reflect the actual insulation condition and potential life characteristics of the transformer, improve the accuracy of life assessment, and can dynamically adjust the life index according to the real-time changes of the transformer insulation resistance to adapt to changes in the operating status of the transformer.
[0066] In summary, the implementation of the present invention has the following beneficial effects:
[0067] It can be seen that the transformer life index prediction method described in the embodiment of the present invention includes: obtaining the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer corresponding to the target transformer at the current moment, determining the high-voltage winding insulation performance value corresponding to the target transformer based on the high-voltage winding temperature and the operating time, determining the low-voltage winding insulation performance value corresponding to the target transformer based on the low-voltage winding temperature and the operating time, determining the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time, determining the target insulation performance value based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value and the core insulation performance value, and determining the target life index corresponding to the target transformer based on the target insulation performance value, thereby improving the accuracy of transformer life prediction.
[0068] See also Figure 3 , Figure 3 It is a structural schematic diagram of a transformer life index prediction device provided in an embodiment of the present application. The transformer life index prediction device 300 includes: an acquisition unit 301 and a processing unit 302;
[0069] An acquisition unit 301 is used to acquire the high voltage winding temperature, the low voltage winding temperature, the core temperature and the operating time of the target transformer corresponding to the current moment;
[0070] The processing unit 302 is used to determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time;
[0071] Determine the insulation performance value of the low-voltage winding corresponding to the target transformer based on the low-voltage winding temperature and the operating time;
[0072] Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time;
[0073] Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value;
[0074] A target life index corresponding to the target transformer is determined based on the target insulation performance value.
[0075] In some possible implementations, in determining the high-voltage winding insulation performance value corresponding to the target transformer based on the high-voltage winding temperature and the operating time, the processing unit 302 is specifically configured to:
[0076] Determine the initial high-voltage winding insulation performance value corresponding to the target transformer;
[0077] The high-voltage winding insulation performance value corresponding to the target transformer is determined based on the initial high-voltage winding insulation performance value, high-voltage winding temperature, and operating time. The specific calculation is based on the following formula:
[0078]
[0079] Among them, f(t1) is the insulation performance value of the high-voltage winding, f(1) is the initial insulation performance value of the high-voltage winding, T1 is the temperature of the high-voltage winding, t1 is the operating time, and A and B are both constants.
[0080] In some possible implementations, in determining the target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value, the processing unit 302 is specifically configured to:
[0081] Determine a first reference weight corresponding to the insulation performance value of the high-voltage winding, a second reference weight corresponding to the insulation performance value of the low-voltage winding, and a third reference weight corresponding to the insulation performance value of the core; the sum of the first reference weight, the second reference weight, and the third reference weight is 1;
[0082] Determine the load power corresponding to the target transformer at the current moment;
[0083] Determining a first adjustment parameter corresponding to the load power;
[0084] Adjust the first reference weight based on the first adjustment parameter to obtain a first target weight;
[0085] Determine the core loss value corresponding to the target transformer at the current moment;
[0086] determining a second adjustment parameter corresponding to the core loss value;
[0087] Adjust the third reference weight based on the second adjustment parameter to obtain a third target weight;
[0088] Adjust the second reference weight based on the first target weight and the third target weight to obtain a second target weight;
[0089] The target insulation performance value is determined based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight.
[0090] In some possible implementations, in determining the target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight, the processing unit 302 is specifically configured to:
[0091] Determine a reference insulation performance value corresponding to the target transformer based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight;
[0092] Obtain the ambient temperature corresponding to the target transformer at the current moment;
[0093] determining a first optimization factor corresponding to the ambient temperature;
[0094] Obtain the operating current corresponding to the target transformer at the current moment;
[0095] determining a second optimization factor corresponding to the operating current;
[0096] The reference insulation performance value is adjusted according to the first optimization factor and the second optimization factor to obtain a target insulation performance value.
[0097] In some possible implementations, in determining a target life index corresponding to a target transformer based on a target insulation performance value, the processing unit 302 is specifically configured to:
[0098] When the target insulation performance value is less than or equal to the insulation performance threshold, the target life index is determined to be 0;
[0099] When the target insulation performance value is greater than the insulation performance threshold, historical operation data corresponding to multiple reference transformers in the historical time period are obtained to obtain multiple historical operation data; each reference transformer corresponds to one historical operation data, and the type of the reference transformer is the same as the type of the target transformer;
[0100] Determine a mapping relationship corresponding to each reference transformer in a plurality of reference transformers based on a plurality of historical operation data, and obtain a plurality of mapping relationships; each mapping relationship corresponds to a reference transformer, and the mapping relationship is used to characterize the corresponding relationship between the insulation performance value and the life index;
[0101] Determine multiple reference life indexes corresponding to target insulation performance values based on multiple mapping relationships;
[0102] A target life index corresponding to the target transformer is determined based on a plurality of reference life indices.
[0103] In some possible implementations, in determining a mapping relationship corresponding to each reference transformer in a plurality of reference transformers based on a plurality of historical operation data to obtain a plurality of mapping relationships, the processing unit 302 is specifically configured to:
[0104] Determine n insulation performance values and n life indexes in the first historical operation data; n is an integer, the first historical operation data is historical operation data corresponding to the first reference transformer in the plurality of historical operation data, each insulation performance value corresponds to a life index, and the first reference transformer is any reference transformer in the plurality of reference transformers;
[0105] The n insulation performance values and the n life indexes are mapped onto coordinate axes to obtain a relationship curve of a first reference transformer; the horizontal axis of the target relationship curve is the insulation performance value, and the vertical axis is the life index.
[0106] In some possible implementations, in determining the target life index corresponding to the target transformer based on the multiple reference life indexes, the processing unit 302 is specifically configured to:
[0107] determining an average of a plurality of reference lifespan indices to obtain an average lifespan index;
[0108] Determine the insulation resistance value corresponding to the target transformer;
[0109] Determine the target fine-tuning parameter corresponding to the insulation resistance value;
[0110] The average life index is fine-tuned based on the target fine-tuning parameters to obtain the target life index.
[0111] See also Figure 4 , Figure 4 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 400 includes a transceiver 401, a processor 402 and a memory 403. They are connected via a bus 404. The memory 403 is used to store computer programs and data, and the transceiver 401 can transmit the data stored in the memory 403 to the processor 402. The above program includes instructions for executing the following steps:
[0112] Obtain the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer corresponding to the current moment;
[0113] Determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time;
[0114] Determine the insulation performance value of the low-voltage winding corresponding to the target transformer based on the low-voltage winding temperature and the operating time;
[0115] Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time;
[0116] Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value;
[0117] A target life index corresponding to the target transformer is determined based on the target insulation performance value.
[0118] In some possible implementations, in terms of determining the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time, the above program includes instructions for performing the following steps:
[0119] Determine the initial high-voltage winding insulation performance value corresponding to the target transformer;
[0120] The high-voltage winding insulation performance value corresponding to the target transformer is determined based on the initial high-voltage winding insulation performance value, high-voltage winding temperature, and operating time. The specific calculation is based on the following formula:
[0121]
[0122] Among them, f(t1) is the insulation performance value of the high-voltage winding, f(1) is the initial insulation performance value of the high-voltage winding, T1 is the temperature of the high-voltage winding, t1 is the operating time, and A and B are both constants.
[0123] In some possible implementations, in terms of determining the target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value, the above program includes instructions for performing the following steps:
[0124] Determine a first reference weight corresponding to the insulation performance value of the high-voltage winding, a second reference weight corresponding to the insulation performance value of the low-voltage winding, and a third reference weight corresponding to the insulation performance value of the core; the sum of the first reference weight, the second reference weight, and the third reference weight is 1;
[0125] Determine the load power corresponding to the target transformer at the current moment;
[0126] Determining a first adjustment parameter corresponding to the load power;
[0127] Adjust the first reference weight based on the first adjustment parameter to obtain a first target weight;
[0128] Determine the core loss value corresponding to the target transformer at the current moment;
[0129] determining a second adjustment parameter corresponding to the core loss value;
[0130] Adjust the third reference weight based on the second adjustment parameter to obtain a third target weight;
[0131] Adjust the second reference weight based on the first target weight and the third target weight to obtain a second target weight;
[0132] The target insulation performance value is determined based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight.
[0133] In some possible implementations, in terms of determining the target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight, the program includes instructions for performing the following steps:
[0134] Determine a reference insulation performance value corresponding to the target transformer based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight;
[0135] Obtain the ambient temperature corresponding to the target transformer at the current moment;
[0136] determining a first optimization factor corresponding to the ambient temperature;
[0137] Obtain the operating current corresponding to the target transformer at the current moment;
[0138] determining a second optimization factor corresponding to the operating current;
[0139] The reference insulation performance value is adjusted according to the first optimization factor and the second optimization factor to obtain a target insulation performance value.
[0140] In some possible implementations, in terms of determining a target life index corresponding to a target transformer based on a target insulation performance value, the program includes instructions for performing the following steps:
[0141] When the target insulation performance value is less than or equal to the insulation performance threshold, the target life index is determined to be 0;
[0142] When the target insulation performance value is greater than the insulation performance threshold, historical operation data corresponding to multiple reference transformers in the historical time period are obtained to obtain multiple historical operation data; each reference transformer corresponds to one historical operation data, and the type of the reference transformer is the same as the type of the target transformer;
[0143] Determine a mapping relationship corresponding to each reference transformer in a plurality of reference transformers based on a plurality of historical operation data, and obtain a plurality of mapping relationships; each mapping relationship corresponds to a reference transformer, and the mapping relationship is used to characterize the corresponding relationship between the insulation performance value and the life index;
[0144] Determine multiple reference life indexes corresponding to target insulation performance values based on multiple mapping relationships;
[0145] A target life index corresponding to the target transformer is determined based on a plurality of reference life indices.
[0146] In some possible implementations, in terms of determining a mapping relationship corresponding to each reference transformer in a plurality of reference transformers based on a plurality of historical operation data to obtain a plurality of mapping relationships, the program includes instructions for performing the following steps:
[0147] Determine n insulation performance values and n life indexes in the first historical operation data; n is an integer, the first historical operation data is historical operation data corresponding to the first reference transformer in the plurality of historical operation data, each insulation performance value corresponds to a life index, and the first reference transformer is any reference transformer in the plurality of reference transformers;
[0148] The n insulation performance values and the n life indexes are mapped onto coordinate axes to obtain a relationship curve of a first reference transformer; the horizontal axis of the target relationship curve is the insulation performance value, and the vertical axis is the life index.
[0149] In some possible implementations, in determining a target life index corresponding to a target transformer based on a plurality of reference life indexes, the program includes instructions for performing the following steps:
[0150] determining an average of a plurality of reference lifespan indices to obtain an average lifespan index;
[0151] Determine the insulation resistance value corresponding to the target transformer;
[0152] Determine the target fine-tuning parameter corresponding to the insulation resistance value;
[0153] The average life index is fine-tuned based on the target fine-tuning parameters to obtain the target life index.
[0154] It should be understood that the electronic devices in the present application may include transformer life index prediction devices, smart phones (such as Android phones, iOS phones, Windows Phone phones, etc.), tablet computers, PDAs, laptop computers, mobile Internet devices MID (Mobile Internet Devices, MID for short) or wearable devices or servers, edge computing nodes, etc. The above electronic devices are only examples, not exhaustive, and include but are not limited to the above electronic devices.
[0155] The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement part or all of the steps of any transformer life index prediction method recorded in the above method embodiment.
[0156] The embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program can be operated to cause a computer to execute part or all of the steps of any transformer life index prediction method recorded in the above method embodiment.
[0157] It should be noted that, for the above-mentioned various method implementations, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the implementations described in the specification are all optional implementations, and the actions and modules involved are not necessarily required by this application.
[0158] In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0159] In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device implementation described above is only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.
[0160] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0161] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software program module.
[0162] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, 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, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of each implementation method of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.
[0163] A person skilled in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.
[0164] The above is a detailed introduction to the implementation methods of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above implementation methods is only used to help understand the method and core idea of the present application. At the same time, for general technical personnel in this field, according to the idea of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.
Claims
1. A transformer life index prediction method, characterized in that: The method comprises: Obtaining the high-voltage winding temperature, low-voltage winding temperature, core temperature and operating time of the target transformer corresponding to the current moment; Determining a high-voltage winding insulation performance value corresponding to the target transformer based on the high-voltage winding temperature and the operating time; Determining a low-voltage winding insulation performance value corresponding to the target transformer based on the low-voltage winding temperature and the operating time; Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time; Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value; A target life index corresponding to the target transformer is determined based on the target insulation performance value.
2. The method according to claim 1, characterized in that The step of determining the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time includes: Determining an initial high-voltage winding insulation performance value corresponding to the target transformer; The high-voltage winding insulation performance value corresponding to the target transformer is determined based on the initial high-voltage winding insulation performance value, the high-voltage winding temperature, and the operating time, and is specifically calculated according to the following formula: Among them, f(t1) is the insulation performance value of the high-voltage winding, f(1) is the initial insulation performance value of the high-voltage winding, T1 is the high-voltage winding temperature, t1 is the operating time, and A and B are both constants.
3. The method according to claim 2, characterized in that The determining of the target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value comprises: Determine a first reference weight corresponding to the high-voltage winding insulation performance value, a second reference weight corresponding to the low-voltage winding insulation performance value, and a third reference weight corresponding to the core insulation performance value; the sum of the first reference weight, the second reference weight, and the third reference weight is 1; Determine the load power corresponding to the target transformer at the current moment; Determining a first adjustment parameter corresponding to the load power; Adjust the first reference weight based on the first adjustment parameter to obtain a first target weight; Determine the core loss value of the target transformer corresponding to the current moment; Determining a second adjustment parameter corresponding to the core loss value; Adjust the third reference weight based on the second adjustment parameter to obtain a third target weight; Adjust the second reference weight based on the first target weight and the third target weight to obtain a second target weight; The target insulation performance value is determined based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight.
4. The method according to claim 3, characterized in that The determining the target insulation performance value based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight includes: Determine a reference insulation performance value corresponding to the target transformer based on the high-voltage winding insulation performance value, the low-voltage winding insulation performance value, the core insulation performance value, the first target weight, the second target weight, and the third target weight; Obtaining the ambient temperature corresponding to the target transformer at the current moment; determining a first optimization factor corresponding to the ambient temperature; Obtaining the operating current corresponding to the target transformer at the current moment; determining a second optimization factor corresponding to the operating current; The reference insulation performance value is adjusted according to the first optimization factor and the second optimization factor to obtain the target insulation performance value.
5. The method according to claim 4, characterized in that The determining a target life index corresponding to the target transformer based on the target insulation performance value includes: When the target insulation performance value is less than or equal to the insulation performance threshold, determining the target life index to be 0; When the target insulation performance value is greater than the insulation performance threshold, historical operation data corresponding to multiple reference transformers in a historical time period are obtained to obtain multiple historical operation data; each reference transformer corresponds to one historical operation data, and the type of the reference transformer is the same as the type of the target transformer; Determine a mapping relationship corresponding to each reference transformer in the multiple reference transformers based on the multiple historical operation data to obtain multiple mapping relationships; each mapping relationship corresponds to a reference transformer, and the mapping relationship is used to characterize the corresponding relationship between the insulation performance value and the life index; Determine a plurality of reference life indexes corresponding to the target insulation performance value based on the plurality of mapping relationships; The target life index corresponding to the target transformer is determined based on the multiple reference life indexes.
6. The method according to claim 5, characterized in that Each mapping relationship in the multiple mapping relationships corresponds to a relationship curve; the mapping relationship corresponding to each reference transformer in the multiple reference transformers is determined based on the multiple historical operation data to obtain multiple mapping relationships, including: Determine n insulation performance values and n life indexes in the first historical operation data; n is an integer, the first historical operation data is the historical operation data corresponding to the first reference transformer in the plurality of historical operation data, each insulation performance value corresponds to a life index, and the first reference transformer is any reference transformer in the plurality of reference transformers; The n insulation performance values and the n life indexes are mapped onto coordinate axes to obtain a relationship curve of the first reference transformer; the horizontal axis of the target relationship curve is the insulation performance value, and the vertical axis is the life index.
7. The method according to claim 6, characterized in that The determining the target life index corresponding to the target transformer based on the multiple reference life indexes includes: Determining an average value of the plurality of reference lifespan indices to obtain an average lifespan index; Determine the insulation resistance value corresponding to the target transformer; determining a target fine-tuning parameter corresponding to the insulation resistance value; The average life index is fine-tuned based on the target fine-tuning parameter to obtain the target life index.
8. A transformer life index prediction device, characterized in that: The transformer life index prediction device comprises: an acquisition unit and a processing unit; The acquisition unit is used to acquire the high-voltage winding temperature, the low-voltage winding temperature, the core temperature and the operating time of the target transformer corresponding to the current moment; The processing unit is used to determine the insulation performance value of the high-voltage winding corresponding to the target transformer based on the high-voltage winding temperature and the operating time; Determining a low-voltage winding insulation performance value corresponding to the target transformer based on the low-voltage winding temperature and the operating time; Determine the core insulation performance value corresponding to the target transformer based on the core temperature and the operating time; Determining a target insulation performance value based on the high voltage winding insulation performance value, the low voltage winding insulation performance value and the core insulation performance value; A target life index corresponding to the target transformer is determined based on the target insulation performance value.
9. An electronic device, characterized in that: The method comprises a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the one or more programs include instructions for executing the steps in the method described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method according to any one of claims 1 to 7.