A power distribution transformer monitoring method and monitoring system

Abstract

This application discloses a method and system for monitoring distribution transformers, relating to the field of distribution transformer monitoring technology. The method includes: acquiring electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer; compensating and correcting the temperature and insulation parameters based on the environmental parameters to obtain corrected temperature and insulation parameters; extracting characteristic parameters reflecting the transformer fault type based on the corrected temperature, insulation, and electrical parameters, including loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters; and determining whether a fault exists in the transformer based on the characteristic parameters and corresponding characteristic parameter thresholds. This method can accurately monitor distribution transformers.

Description

Technical Field

[0001] This application relates to the field of distribution transformer monitoring technology, and in particular to a distribution transformer monitoring method and monitoring system. Background Technology

[0002] Distribution transformers are key equipment in the power transmission and distribution system, undertaking the important function of converting high-voltage grid energy into low-voltage distribution network energy and ensuring safe and reliable power supply to end users. Their operating status directly affects the stability, security, and economy of the entire distribution network. With the continuous advancement of the construction of new power systems, a large number of distributed power sources, electric vehicle charging piles, and nonlinear loads are being connected to the distribution network. Distribution transformers are constantly operating under complex and variable conditions, increasing the risk of faults such as insulation aging, winding overheating, core abnormalities, and load imbalance. This places higher demands on the accurate, reliable, and real-time monitoring of distribution transformers.

[0003] Currently, traditional monitoring methods for distribution transformers mostly employ a simple monitoring logic of single-parameter acquisition and fixed threshold comparison. They typically only collect basic operating parameters such as transformer oil temperature, high-voltage side voltage and current, and judge whether the equipment is abnormal by preset fixed thresholds. Although some solutions introduce simple environmental compensation or feature extraction, they do not establish a correlation analysis mechanism between multiple parameters, nor do they consider the impact of operating conditions such as transformer operating load and cumulative operating years on monitoring parameters. The monitoring dimensions are limited, the data processing accuracy is insufficient, and it is difficult to comprehensively reflect the deep operating conditions of the transformer, such as insulation status and loss status, and thus cannot achieve fault identification.

[0004] However, traditional monitoring methods are inaccurate for monitoring distribution transformers. Summary of the Invention

[0005] This application provides a method and system for monitoring distribution transformers, which can accurately monitor distribution transformers.

[0006] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application provides a method for monitoring distribution transformers, including: Obtain the electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer; Based on the environmental parameters, the temperature parameters and insulation parameters are compensated and corrected to obtain the corrected temperature parameters and insulation parameters; Based on the corrected temperature parameters, corrected insulation parameters, and electrical parameters, characteristic parameters reflecting the transformer fault type are extracted. These characteristic parameters include loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters. Based on the characteristic parameters and the corresponding characteristic parameter thresholds, it is determined whether the transformer has a fault.

[0007] Optionally, the corrected temperature parameters are obtained in the following way:

[0008] in, This indicates the corrected temperature parameter. These correspond to the corrected temperatures of the tank surface, iron core, and windings, respectively. Indicates temperature parameter, Indicates the temperature compensation coefficient. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. Indicates the humidity compensation coefficient. Indicates the ambient humidity at the monitoring point. This represents the aging correction factor, where t represents the normalized operating years. This represents the temperature compensation coefficient for current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

[0009] Optionally, the insulation parameters include insulation resistance and dielectric loss factor, and the corrected insulation parameters are obtained in the following manner:

[0010]

[0011] in, This indicates the corrected insulation resistance. Indicates insulation resistance. This represents the temperature compensation coefficient for insulation resistance. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient for insulation resistance. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. This indicates the corrected winding temperature; This represents the corrected dielectric loss factor. Indicates the dielectric loss factor. This represents the temperature compensation coefficient for the dielectric loss factor. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient, which indicates the dielectric loss factor. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. Indicates insulation resistance. This indicates the reference value of insulation resistance when the transformer is operating normally.

[0012] Optionally, the loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters are obtained in the following ways: Loss characteristic parameters include the transformer's copper losses and iron losses:

[0013]

[0014] in, Indicates the copper loss of the transformer. This indicates the real-time input current on the high-voltage side. This represents the reference value of the DC resistance of the high-voltage side winding at 20°C. This indicates the temperature coefficient of resistance of copper wire. This indicates the corrected winding temperature. Indicates the normalized operating years. This indicates the real-time output current on the low-voltage side. This represents the reference value of the DC resistance of the low-voltage side winding at 20°C. Indicates the iron loss of the transformer. Indicates the iron loss calibration coefficient. This indicates the real-time input voltage on the high-voltage side. Indicates the real-time load factor of the transformer. Indicates the ambient temperature at the monitoring point; Temperature characteristic parameters include the temperature difference between the winding and the core, and the temperature difference between the winding and the oil tank.

[0015] in, This indicates the temperature difference between the winding and the core. This indicates the corrected winding temperature. This indicates the corrected core temperature; This indicates the temperature difference between the winding and the oil tank. This indicates the corrected surface temperature of the fuel tank; Insulation characteristic parameters include the rate of change of insulation resistance and the rate of change of dielectric loss factor:

[0016]

[0017] in, Indicates the rate of change of insulation resistance. This indicates the corrected insulation resistance. This represents the reference value of the insulation resistance when the transformer is operating normally. Indicates the ambient humidity at the monitoring point; This represents the rate of change of the dielectric loss factor. This represents the corrected dielectric loss factor. This indicates the baseline value of the dielectric loss factor when the transformer leaves the factory. Voltage and current characteristic parameters include voltage deviation, current deviation, and power factor:

[0018]

[0019]

[0020] in, Indicates voltage deviation. This indicates the real-time input voltage on the high-voltage side. Indicates the rated voltage on the high-voltage side. This represents the 10-minute moving average of the high-voltage side voltage. Indicates current deviation. This indicates the real-time input current on the high-voltage side. Indicates the rated current on the high-voltage side; Indicates the power factor. This indicates the actual active power of the transformer. This indicates the actual apparent power of the transformer.

[0021] Optionally, the characteristic parameter thresholds include copper loss threshold, iron loss threshold, temperature difference threshold, insulation characteristic parameter threshold, and voltage and current characteristic parameter threshold.

[0022] Optionally, determining whether a transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds includes: If any characteristic parameter is greater than the corresponding characteristic parameter threshold, then the transformer is determined to be faulty.

[0023] Optionally, the method further includes: After determining that the transformer has a fault, the fault type and cause are located based on the combination relationship of abnormal characteristic parameters that exceed the characteristic parameter threshold.

[0024] Secondly, this application provides a distribution transformer monitoring system, comprising: The acquisition module is used to acquire electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer. The processing module is used to compensate and correct the temperature parameters and insulation parameters according to the environmental parameters to obtain corrected temperature parameters and corrected insulation parameters; and to extract feature parameters reflecting the transformer fault type according to the corrected temperature parameters, corrected insulation parameters and electrical parameters, the feature parameters including loss feature parameters, temperature feature parameters, insulation feature parameters and voltage and current feature parameters. The judgment module is used to determine whether the transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds.

[0025] Thirdly, this application provides a computing device, including a memory and a processor; The memory stores one or more computer programs, the one or more computer programs including instructions; when the instructions are executed by the processor, the computing device performs the method as described in any one of the first aspects.

[0026] Fourthly, this application provides a computer-readable storage medium for storing a computer program for performing the method as described in any one of the first aspects.

[0027] As can be seen from the above technical solution, this application has at least the following beneficial effects: The distribution transformer monitoring method of this application acquires the electrical, temperature, insulation, and environmental parameters of the distribution transformer. First, it compensates and corrects the temperature and insulation parameters based on the environmental parameters. Then, based on the corrected temperature, insulation, and electrical parameters, it extracts loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters. Finally, it compares each characteristic parameter with its corresponding threshold value to determine whether a fault exists in the transformer. This method solves the problems of single monitoring dimensions and insufficient data processing accuracy in traditional monitoring methods. It can reflect the transformer's insulation and loss status, enabling fault identification and location. It adapts to complex and changing operating conditions, meets the monitoring needs of distribution transformers under the construction of new power systems, and ensures the stability, security, and economy of the power supply network.

[0028] Furthermore, this application first obtains the electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer. Based on the environmental parameters, it performs compensation and correction on the temperature and insulation parameters to obtain corrected temperature and insulation parameters. Then, using the corrected temperature and insulation parameters in conjunction with the electrical parameters, it uniformly extracts loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters. Each characteristic parameter is compared with its corresponding copper loss threshold, iron loss threshold, temperature difference threshold, insulation characteristic parameter threshold, and voltage and current characteristic parameter threshold. If any characteristic parameter exceeds its corresponding threshold, a transformer fault can be determined. This application abandons the traditional method of acquiring single parameters and comparing fixed thresholds, introducing environmental, load, and operating conditions such as years of operation into parameter correction and feature extraction. This broadens the monitoring dimensions of transformer operating status, improves the deviation problem caused by external environmental and operating condition interference in the original monitoring data, and can comprehensively reflect the actual operating status of transformer losses, temperature, insulation, voltage, and current. Meanwhile, this application can also locate the fault type and fault cause based on the abnormal characteristic parameter combination relationship that exceeds the characteristic parameter threshold, adapt to the complex and ever-changing actual operating conditions of distribution transformers, adapt to the distribution network operation scenario after the large-scale access of distributed power sources and nonlinear loads, reduce misjudgment and omission in the monitoring process, and improve the reliability of the overall operation monitoring of distribution transformers.

[0029] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description

[0030] Figure 1 A flowchart of a power distribution transformer monitoring method provided in this application embodiment; Figure 2 This is a schematic diagram of a power distribution transformer monitoring system provided in an embodiment of this application; Figure 3 This is a schematic diagram of a computing device provided in an embodiment of this application. Detailed Implementation

[0031] The terms "first," "second," and "third," etc., used in this application specification and accompanying drawings are used to distinguish different objects, not to limit a specific order.

[0032] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0033] Traditional monitoring methods lack a compensation and correction mechanism for parameters and do not fully consider the coupled effects of multiple factors such as ambient temperature and humidity, load fluctuations, and the cumulative operating years of the transformer on temperature and insulation parameters. They directly use the collected raw parameters for monitoring, resulting in significant parameter deviations and failing to accurately represent the actual operating conditions of the transformer. This is the root cause of distorted monitoring results and the tendency for false alarms or missed alarms.

[0034] Another major technical problem with traditional monitoring methods lies in the imperfect monitoring system and the severely insufficient fault identification and location capabilities. On the one hand, traditional methods only collect basic parameters such as oil temperature and high-voltage side voltage and current, failing to extract characteristic parameters that reflect the deep operating status of the transformer, such as copper loss, iron loss, temperature difference, and insulation change rate. This makes it difficult to comprehensively identify various fault types such as insulation aging, load imbalance, and core abnormalities. On the other hand, traditional methods use fixed thresholds for fault judgment, failing to dynamically adjust the thresholds based on the transformer's real-time load, operating years, and other conditions. This results in poor adaptability and a lack of fault location mechanisms based on combinations of abnormal characteristic parameters. They can only achieve simple abnormal alarms and cannot accurately locate the fault type and cause. Ultimately, this makes it difficult for maintenance personnel to develop targeted handling plans and ensures the safe and stable operation of the distribution network.

[0035] In view of this, embodiments of this application provide a method for monitoring distribution transformers, which can be executed by a processing device. This processing device can be a terminal or a server. Terminals include, but are not limited to, smartphones, tablets, laptops, personal digital assistants, or smart wearable devices. The server can be a cloud server, such as a central server in a central cloud computing cluster or an edge server in an edge cloud computing cluster. Alternatively, the server can be a server in a local data center. A local data center refers to a data center directly controlled by the user.

[0036] This application addresses the technical problems of insufficient parameter accuracy, single monitoring dimensions, and poor fault identification and location capabilities in traditional monitoring methods for distribution transformers. It proposes a monitoring method for distribution transformers based on multi-parameter fusion compensation and dynamic characteristic thresholds. This application compensates and corrects the original temperature and insulation parameters by introducing multi-dimensional interference factors such as ambient temperature and humidity, real-time load, and operating years, eliminating the influence of environment and operating conditions on the parameters and ensuring their accuracy. Based on this, it extracts four categories of characteristic parameters that directly characterize fault types: loss, temperature, insulation, voltage, and current, and establishes a characteristic parameter threshold system that dynamically matches operating conditions, enabling the perception of the transformer's deep operating status. Finally, through the combination of abnormal characteristic parameters, it locates the fault type and its cause, ultimately achieving high-precision monitoring of distribution transformers throughout the entire process, from basic data acquisition to accurate status monitoring and intelligent fault diagnosis. This effectively solves the technical problems of traditional methods failing to accurately reflect the true operating status of equipment and the difficulty in fault location, ensuring the safe and stable operation of the distribution network.

[0037] To make the technical solution of this application clearer and easier to understand, a method for monitoring a distribution transformer provided by an embodiment of this application will be described below with reference to the accompanying drawings. Figure 1 As shown, this figure is a flowchart of a power distribution transformer monitoring method provided in an embodiment of this application. The method includes: S201. The processing equipment obtains the electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer.

[0038] As electrical equipment in the power transmission and distribution link of the power system, the distribution transformer is mainly used to convert high-voltage power from the power grid into low-voltage power suitable for end users. Its operating status directly determines the stability of the power supply of the distribution network, and it is also the object of this parameter acquisition and status monitoring.

[0039] Electrical parameters are indicators that characterize the electrical operating conditions of a distribution transformer. They specifically include high-voltage side input voltage and current, low-voltage side output voltage and current, as well as active power, apparent power, and power factor, and are used to reflect the transformer's load status and electrical operating safety.

[0040] Temperature parameters are physical parameters that reflect the balance between heat generation and heat dissipation inside a transformer. They specifically include the surface temperature of the oil tank, the core temperature, and the winding temperature. They are important basic data for judging thermal faults such as winding overheating and core abnormalities.

[0041] Insulation parameters are indicators used to assess the health of transformer insulation structure. They mainly include winding-to-ground insulation resistance and dielectric loss factor, which can directly reflect the risk of insulation failures such as insulation aging, moisture, and damage.

[0042] Environmental parameters are physical quantities that describe the external environmental conditions of transformer operation, mainly the ambient temperature and humidity at the monitoring point. These external factors can directly interfere with the accuracy of temperature and insulation parameters.

[0043] The processing equipment acquires multiple parameters that comprehensively reflect the operating status of the distribution transformer through externally connected sensing and acquisition devices placed at corresponding parts of the transformer. These parameters include electrical parameters that characterize the electrical operating status, temperature parameters that reflect the internal thermal state, insulation parameters that reflect the insulation health level, and environmental temperature and humidity parameters that affect the accuracy of the monitoring data.

[0044] S202. The processing equipment compensates and corrects the temperature parameters and insulation parameters according to the environmental parameters to obtain the corrected temperature parameters and the corrected insulation parameters.

[0045] The corrected temperature parameters are real temperature data obtained after compensation calculations, eliminating environmental and operating condition interference, and can accurately reflect the actual heating of the transformer body.

[0046] The corrected insulation parameters are the insulation resistance and dielectric loss factor after correction, eliminating interference from environmental temperature and humidity, and can truly reflect the actual health level of transformer insulation.

[0047] After obtaining the original environmental parameters, temperature parameters, and insulation parameters, the processing equipment uses the environmental parameters as the main basis for correction. At the same time, it combines factors such as the transformer's real-time load and cumulative operating years. Through a preset compensation and correction formula, the processing equipment performs mathematical correction and error elimination on the original temperature parameters and insulation parameters. Through this processing process, the equipment finally obtains the corrected temperature parameters and corrected insulation parameters that can truly and accurately reflect the actual temperature state of the transformer body and the true insulation performance.

[0048] The corrected temperature parameters were obtained in the following way:

[0049] in, This indicates the corrected temperature parameter. These correspond to the corrected temperatures of the tank surface, iron core, and windings, respectively. Indicates temperature parameter, Indicates the temperature compensation coefficient. Indicates the ambient temperature at the monitoring point. Indicates the reference ambient temperature. This represents the real-time load factor of the transformer, which is obtained by comparing the transformer's current actual output power with its rated output power. Indicates the humidity compensation coefficient. Indicates the temperature reference value. Indicates the ambient humidity at the monitoring point. This indicates the baseline ambient humidity, for example, 60%. This represents the aging correction factor, and t represents the normalized operating years, which is obtained by dividing the cumulative operating years of the transformer by its design life (e.g., 20 years). This represents the temperature compensation coefficient for current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

[0050] In some embodiments, the original temperature is corrected by parameters such as ambient temperature, load factor, ambient humidity and years of operation. The mechanism is to eliminate the interference of external factors such as environment, load, aging on the temperature measurement value and restore the true thermal state of the internal components of the transformer.

[0051] Insulation parameters include insulation resistance and dielectric loss factor. The corrected insulation parameters are obtained as follows:

[0052]

[0053] in, This indicates the corrected insulation resistance. Indicates insulation resistance. This represents the temperature compensation coefficient for insulation resistance. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient for insulation resistance. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. This indicates the corrected winding temperature; This represents the corrected dielectric loss factor. This represents the temperature compensation coefficient for the dielectric loss factor. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient, which indicates the dielectric loss factor. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. Indicates insulation resistance. This indicates the reference value of insulation resistance when the transformer is operating normally.

[0054] In some embodiments, calibration models are constructed for insulation resistance and dielectric loss factor respectively to eliminate the interference of external factors such as ambient temperature, load, humidity, aging and reference deviation on insulation measurement values ​​and restore the true state of insulation.

[0055] The advantages of this calibration method for processing equipment are as follows: First, it provides multi-dimensional anti-interference, simultaneously eliminating multiple types of coupled interference to obtain more realistic insulation parameters; second, it dynamically adapts to the entire life cycle, adapting to the changes in insulation characteristics of the transformer at different stages through operating years and real-time load parameters; and third, it provides a basis for fault diagnosis, as the calibrated parameters have a high degree of matching with the insulation threshold, which can effectively improve the accuracy of fault early warning and location such as moisture and deterioration.

[0056] S203. The processing equipment extracts characteristic parameters reflecting the transformer fault type based on the corrected temperature parameters, corrected insulation parameters, and electrical parameters.

[0057] Reflecting transformer fault types means that the extracted characteristic parameters have a clear correspondence with specific faults such as insulation aging, winding overheating, core abnormality, and load imbalance, and can be used to distinguish different faults.

[0058] Characteristic parameters are indicative parameters derived from original and corrected parameters using specific formulas. They possess clear physical meaning and directly correspond to a particular type of fault, serving as the direct basis for fault diagnosis. Characteristic parameters include loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters.

[0059] Loss characteristic parameters are parameters used to characterize the magnitude of energy loss inside a transformer. Loss characteristic parameters include the transformer's copper loss and iron loss, which can directly reflect whether there are faults such as overheating, aging, and abnormal losses in the windings and core.

[0060] Temperature characteristic parameters are temperature difference indices obtained through temperature calculation after correction, such as the temperature difference between the winding and the core, and the temperature difference between the winding and the oil tank. These parameters can intuitively reflect whether the internal heating of the transformer is balanced and can be used to judge thermal faults such as winding overheating and core abnormalities.

[0061] Insulation characteristic parameters are rate-of-change indices calculated based on corrected insulation parameters, such as the rate of change of insulation resistance and the rate of change of dielectric loss factor. They are used to reflect insulation faults such as insulation aging, moisture absorption, and deterioration.

[0062] Voltage and current characteristic parameters are deviation and power factor indicators calculated from raw voltage and current data, including voltage deviation, current deviation, and power factor. They are used to identify electrical faults such as load imbalance, abnormal voltage, and unstable operation.

[0063] The processing equipment uses the corrected temperature and insulation parameters, which have been filtered to remove interference and are reliable, as its core. Combined with the original electrical parameters, it calculates characteristic parameters that can directly correspond to different fault types such as winding overheating, insulation abnormality, loss abnormality, and voltage and current imbalance. This transforms the complex original monitoring data into concise, clear, and directly applicable indicators for fault diagnosis.

[0064] The expression for calculating the loss characteristic parameters is:

[0065]

[0066] in, Indicates the copper loss of the transformer. This indicates the real-time input current on the high-voltage side. This represents the reference value of the DC resistance of the high-voltage side winding at 20°C. This indicates the temperature coefficient of resistance of copper wire. This indicates the corrected winding temperature. Indicates the normalized operating years. This indicates the real-time output current on the low-voltage side. This represents the reference value of the DC resistance of the low-voltage side winding at 20°C. Indicates the iron loss of the transformer. Indicates the iron loss calibration coefficient. This indicates the real-time input voltage on the high-voltage side. Indicates the real-time load factor of the transformer. This indicates the ambient temperature at the monitoring point.

[0067] Temperature characteristic parameters include the temperature difference between the winding and the core, and the temperature difference between the winding and the oil tank. The calculation expression is as follows:

[0068] in, This indicates the temperature difference between the winding and the core. This indicates the corrected winding temperature. This indicates the corrected core temperature; This indicates the temperature difference between the winding and the oil tank. This indicates the corrected surface temperature of the fuel tank.

[0069] Insulation characteristic parameters include the rate of change of insulation resistance and the rate of change of dielectric loss factor, and their calculation expressions are as follows:

[0070]

[0071] in, Indicates the rate of change of insulation resistance. This indicates the corrected insulation resistance. This represents the reference value of the insulation resistance when the transformer is operating normally. Indicates the ambient humidity at the monitoring point; This represents the rate of change of the dielectric loss factor. This represents the corrected dielectric loss factor. This indicates the baseline value of the dielectric loss factor when the transformer leaves the factory.

[0072] Voltage and current characteristic parameters include voltage deviation, current deviation, and power factor, and their calculation expressions are as follows:

[0073]

[0074]

[0075] in, Indicates voltage deviation. This indicates the real-time input voltage on the high-voltage side. Indicates the rated voltage on the high-voltage side. This represents the 10-minute moving average of the high-voltage side voltage. Indicates current deviation. This indicates the real-time input current on the high-voltage side. Indicates the rated current on the high-voltage side; Indicates the power factor. This indicates the actual active power of the transformer. This indicates the actual apparent power of the transformer.

[0076] S204. The processing equipment determines whether the transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds.

[0077] The characteristic parameter threshold is a critical value used to distinguish between normal operation and abnormal state of transformer. Each characteristic parameter has a corresponding reasonable upper or lower limit. Exceeding the value indicates an abnormal state.

[0078] If any characteristic parameter is greater than the corresponding characteristic parameter threshold, then the transformer is determined to be faulty.

[0079] The characteristic parameter thresholds include copper loss threshold, iron loss threshold, temperature difference threshold, insulation characteristic parameter threshold, and voltage and current characteristic parameter threshold.

[0080] The copper loss threshold is a critical value set for the copper loss characteristic parameter of transformers. It is used to determine whether the windings have abnormal heating and increased losses due to overload, short circuit, etc.

[0081] The formula for calculating the copper loss threshold is:

[0082] in, Indicates the copper loss threshold. Indicates the baseline copper loss. Indicates the copper loss load influence coefficient. Indicates the real-time load factor of the transformer. This indicates the temperature influence coefficient of copper loss. This indicates the corrected winding temperature. Indicates the ambient temperature at the monitoring point. The coefficient represents the effect of copper loss aging, and t represents the normalized operating years.

[0083] The iron loss threshold is a critical value set for judging the iron loss of a transformer. It is used to determine whether there are abnormal loss problems in the iron core, such as magnetic circuit abnormalities, aging, or local overheating.

[0084]

[0085] in, Indicates the iron loss threshold. Indicates the baseline iron loss. This indicates the real-time input voltage on the high-voltage side. Indicates the rated voltage on the high-voltage side. This indicates the influence coefficient of iron loss load and voltage deviation. Indicates the iron loss aging coefficient. This represents the influence coefficient of ambient temperature on iron loss.

[0086] The temperature difference threshold is a critical value set for the temperature difference between the winding and the core, and between the winding and the tank. It is used to determine whether the internal heating of the transformer is balanced and whether there is a local overheating fault.

[0087]

[0088]

[0089] in, This indicates the threshold value for the temperature difference between the winding and the core. This indicates the reference value for the temperature difference between the winding and the core. Indicates the influence coefficient of temperature difference load. Indicates the humidity influence coefficient. Indicates the ambient humidity at the monitoring point. This represents the aging effect coefficient of the winding-core temperature difference. Indicates the influence coefficient of ambient temperature; This indicates the threshold value for the temperature difference between the winding and the oil tank. This indicates the reference value for the temperature difference between the winding and the oil tank. Indicates the influence coefficient of temperature difference load. Indicates the humidity influence coefficient. This represents the aging effect coefficient caused by the temperature difference between the winding and the oil tank. Indicates the influence coefficient of current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

[0090] Insulation characteristic parameter thresholds are critical values ​​set for insulation characteristic parameters such as insulation resistance change rate and dielectric loss factor change rate. They are used to determine whether the insulation has aging, moisture, deterioration or other abnormalities.

[0091]

[0092]

[0093] in, This represents the threshold value for the rate of change of insulation resistance. This represents the reference value for the rate of change of insulation resistance. This represents the aging effect coefficient of insulation resistance. This represents the humidity-dependent coefficient of insulation resistance. This represents the temperature effect coefficient of insulation resistance. This indicates the corrected winding temperature; This represents the threshold for the rate of change of the dielectric loss factor. This represents the baseline value of the rate of change of the dielectric loss factor. Indicates the influence coefficient of medium loss load. Indicates the influence coefficient of dielectric loss aging. This represents the influence coefficient of ambient temperature on dielectric loss.

[0094] Voltage and current characteristic parameter thresholds are critical values ​​set for voltage and current characteristic parameters such as voltage deviation, current deviation, and power factor. They are used to determine whether a transformer has electrical faults such as load imbalance, abnormal voltage, or unstable operation.

[0095]

[0096]

[0097]

[0098] in, Indicates the voltage deviation threshold. Indicates the voltage deviation reference value. This represents the voltage deviation correction factor. This represents the 10-minute moving average of the high-voltage side voltage. Indicates the rated voltage on the high-voltage side. This represents the load influence coefficient of voltage deviation; Indicates the current deviation threshold. Indicates the reference value for current deviation. This represents the load influence coefficient of current deviation. This represents the temperature effect coefficient of current deviation; Indicates the power factor threshold. Indicates the reference value of the power factor. Indicates the power factor and voltage influence coefficient. This indicates the real-time input voltage on the high-voltage side. This represents the power factor aging effect coefficient.

[0099] The processing equipment compares and analyzes the various characteristic parameters extracted earlier, such as loss, temperature, insulation, voltage, and current, with their respective normal range thresholds. When any characteristic parameter exceeds its corresponding threshold range, the processing equipment can determine that the transformer's operating status reflected by that parameter is abnormal, and then comprehensively judge that the transformer has a fault, thereby achieving an accurate determination of the equipment's operating status.

[0100] The compensation coefficients, influence coefficients, calibration coefficients, and correction coefficients involved in the calculation formulas in this application were all determined through a comprehensive process of fitting a large amount of experimental data, statistical analysis of on-site operating data, transformer factory type test results, and industry standards and specifications.

[0101] After determining that the transformer has a fault, the processing equipment locates the fault type and cause based on the combination relationship of abnormal characteristic parameters that exceed the characteristic parameter threshold.

[0102] After the processing equipment compares the extracted feature parameters with the corresponding dynamic thresholds one by one to determine that the distribution transformer has an operational abnormality or has experienced a fault, it will not stop at the level of simple abnormal alarm. Instead, it will further conduct a comprehensive review and correlation analysis of all abnormal feature parameters that exceed the corresponding thresholds. Based on the typical abnormal parameter combination rules corresponding to different fault types, it will accurately match the current abnormal parameter combination with the preset fault mode to locate the specific fault type of the transformer and further trace the root cause of the fault. Finally, it will provide maintenance personnel with clear fault diagnosis results and targeted handling basis.

[0103] In some embodiments, the processing device significantly improves the accuracy of fault diagnosis and the efficiency of operation and maintenance through multi-parameter combination diagnostic logic. For example, when copper loss, winding temperature difference and oil tank temperature difference exceed the corresponding threshold at the same time, it can be located as winding overload or inter-turn short circuit fault, caused by excessive load or winding insulation damage. When insulation resistance change rate and dielectric loss factor change rate exceed the standard at the same time, it can be located as insulation moisture or aging fault, caused by excessively high ambient humidity or excessively long equipment operating years leading to insulation deterioration. When iron loss, winding temperature difference and iron core temperature difference exceed the standard at the same time, it can be located as iron core magnetic circuit abnormality or local overheating fault, caused by iron core silicon steel sheet insulation damage, clamping bolt insulation failure, etc., realizing full-process intelligent monitoring from abnormality detection to accurate case solving.

[0104] Based on this, this method also establishes a graded early warning mechanism by combining the number of abnormal characteristic parameters exceeding the standard, the deviation range, the degree of correlation, and the fault hazard level, so as to achieve refined differentiation and differentiated handling of fault risks. When only a single characteristic parameter slightly exceeds the corresponding threshold, and the other characteristic parameters are within the normal range and do not form a typical fault combination, it indicates that the transformer only has a minor operational abnormality. The fault develops slowly and will not cause equipment damage or power supply impact in the short term. At this time, the processing equipment judges the fault risk level to be low and triggers a level two early warning. It is only necessary to push the prompt information to the operation and maintenance platform. It is recommended that operation and maintenance personnel focus on the corresponding monitoring parts in subsequent routine inspections and continuously track the parameter change trend. There is no need to carry out emergency response immediately.

[0105] When two or more characteristic parameters simultaneously exceed the corresponding threshold, or when key characteristic parameters deviate significantly from the threshold range, forming a typical high-risk fault combination, it indicates that the transformer has obvious operational defects and the fault is developing rapidly. If not handled in time, it can easily lead to serious consequences such as winding burnout, insulation breakdown, and local overheating expansion, and may even threaten the overall operational safety of the transformer and the stability of regional power supply. At this time, the processing equipment determines that the fault risk level is high and immediately triggers a level one warning. It simultaneously notifies the operation and maintenance personnel through multiple means such as audible and visual alarms, platform pop-ups, and SMS push notifications, indicating the urgency of the fault and requiring them to quickly carry out on-site testing, equipment inspection, and emergency handling to promptly curb the further development of the fault and ensure the continuous and stable operation of the distribution transformer.

[0106] Based on the above description, this application has the following beneficial effects: This application simultaneously collects electrical, temperature, insulation, and environmental parameters of the distribution transformer. It uses environmental parameters to compensate and correct the temperature and insulation parameters, obtaining corrected temperature and insulation parameters. Based on these corrected parameters, loss, temperature, insulation, and voltage / current characteristic parameters are extracted and classified. Each characteristic parameter is then matched against corresponding threshold values ​​for comparison and discrimination. Compared to traditional monitoring methods that collect only a few basic parameters and use fixed thresholds for comparison, this application incorporates simultaneous collection and correction of multiple parameters, reducing the interference of external environmental factors on the monitoring data. It enriches the monitoring categories of transformer operating status, covering multiple operational characteristics such as transformer loss, temperature, insulation, and voltage / current. This allows it to adapt to the state changes of distribution transformers under different operating conditions, overcoming the shortcomings of traditional monitoring methods that are limited in scope and lack sufficient data processing accuracy. It can promptly identify abnormal transformer operation, adapting to the actual operating scenarios after distribution network load access in new power systems, ensuring the long-term stable operation of distribution transformers, and maintaining the overall power supply stability and operational economy of the distribution network.

[0107] The above text combined Figure 1 The method for monitoring distribution transformers provided in the embodiments of this application has been described in detail. The monitoring system and equipment provided in the embodiments of this application will be described below with reference to the accompanying drawings.

[0108] like Figure 2 As shown in the figure, this is a schematic diagram of a distribution transformer monitoring system provided in an embodiment of this application. The system includes: The acquisition module 301 is used to acquire the electrical parameters, temperature parameters, insulation parameters and environmental parameters of the distribution transformer; Processing module 302 is used to compensate and correct the temperature parameters and insulation parameters according to the environmental parameters to obtain corrected temperature parameters and corrected insulation parameters; and to extract feature parameters reflecting the transformer fault type according to the corrected temperature parameters, corrected insulation parameters and electrical parameters, the feature parameters including loss feature parameters, temperature feature parameters, insulation feature parameters and voltage and current feature parameters; The judgment module 303 is used to determine whether the transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds.

[0109] Optionally, processing module 302 is specifically used to calculate the corrected temperature parameters:

[0110] in, This indicates the corrected temperature parameter. These correspond to the corrected temperatures of the tank surface, iron core, and windings, respectively. Indicates temperature parameter, Indicates the temperature compensation coefficient. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. Indicates the humidity compensation coefficient. Indicates the ambient humidity at the monitoring point. Indicates the baseline ambient humidity. This represents the aging correction factor, where t represents the normalized operating years. This represents the temperature compensation coefficient for current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

[0111] Optionally, the processing module 302 is specifically used to calculate the corrected insulation parameters, including insulation resistance and dielectric loss factor.

[0112]

[0113] in, This indicates the corrected insulation resistance. Indicates insulation resistance. This represents the temperature compensation coefficient for insulation resistance. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient for insulation resistance. Indicates the ambient humidity at the monitoring point. The reference ambient humidity is represented by t, and the normalized operating years are represented by t. This indicates the corrected winding temperature; This represents the corrected dielectric loss factor. Indicates the dielectric loss factor. This represents the temperature compensation coefficient for the dielectric loss factor. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient, which indicates the dielectric loss factor. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. Indicates insulation resistance. This indicates the reference value of insulation resistance when the transformer is operating normally.

[0114] Optionally, the processing module 302 is specifically used to calculate loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters: Loss characteristic parameters include the transformer's copper losses and iron losses:

[0115]

[0116] in, Indicates the copper loss of the transformer. This indicates the real-time input current on the high-voltage side. This represents the reference value of the DC resistance of the high-voltage side winding at 20°C. This indicates the temperature coefficient of resistance of copper wire. This indicates the corrected winding temperature. Indicates the normalized operating years. This indicates the real-time output current on the low-voltage side. This represents the reference value of the DC resistance of the low-voltage side winding at 20°C. Indicates the iron loss of the transformer. Indicates the iron loss calibration coefficient. This indicates the real-time input voltage on the high-voltage side. Indicates the real-time load factor of the transformer. Indicates the ambient temperature at the monitoring point; Temperature characteristic parameters include the temperature difference between the winding and the core, and the temperature difference between the winding and the oil tank.

[0117] in, This indicates the temperature difference between the winding and the core. This indicates the corrected winding temperature. This indicates the corrected core temperature; This indicates the temperature difference between the winding and the oil tank. This indicates the corrected surface temperature of the fuel tank; Insulation characteristic parameters include the rate of change of insulation resistance and the rate of change of dielectric loss factor:

[0118]

[0119] in, Indicates the rate of change of insulation resistance. This indicates the corrected insulation resistance. This represents the reference value of the insulation resistance when the transformer is operating normally. Indicates the ambient humidity at the monitoring point. Indicates the baseline ambient humidity; This represents the rate of change of the dielectric loss factor. This represents the corrected dielectric loss factor. This indicates the baseline value of the dielectric loss factor when the transformer leaves the factory. Voltage and current characteristic parameters include voltage deviation, current deviation, and power factor:

[0120]

[0121]

[0122] in, Indicates voltage deviation. This indicates the real-time input voltage on the high-voltage side. Indicates the rated voltage on the high-voltage side. This represents the 10-minute moving average of the high-voltage side voltage. Indicates current deviation. This indicates the real-time input current on the high-voltage side. Indicates the rated current on the high-voltage side; Indicates the power factor. This indicates the actual active power of the transformer. This indicates the actual apparent power of the transformer.

[0123] Optionally, the judgment module 303 is specifically used to determine that the transformer has a fault when any of the feature parameters is greater than the corresponding feature parameter threshold.

[0124] Optionally, the judgment module 303 is also used to locate the fault type and the cause of the fault based on the combination relationship of abnormal characteristic parameters that exceed the characteristic parameter threshold after determining that there is a fault in the transformer.

[0125] The distribution transformer monitoring system according to the embodiments of this application can correspondingly execute the method described in the embodiments of this application, and the other operations and / or functions of each module / unit of the distribution transformer monitoring system are respectively for implementing Figure 1 For the sake of brevity, the corresponding processes of each method in the illustrated embodiments will not be described in detail here.

[0126] This application also provides a computing device. For example... Figure 3 As shown in the figure, this is a schematic diagram of a computing device provided in an embodiment of this application. The computing device 700 includes a bus 701, a processor 702, a communication interface 703, and a memory 704. The processor 702, the memory 704, and the communication interface 703 communicate with each other via the bus 701.

[0127] The 701 bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0128] The processor 702 can be any one or more of the following processors: central processing unit (CPU), graphics processing unit (GPU), microprocessor (MP), or digital signal processor (DSP).

[0129] The communication interface 703 is used for external communication.

[0130] Memory 704 may include volatile memory, such as random access memory (RAM). Memory 704 may also include non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD).

[0131] The memory 704 stores executable code, and the processor 702 executes the executable code to perform the aforementioned power distribution transformer monitoring method.

[0132] Specifically, in achieving Figure 2 In the case of the illustrated embodiment, and Figure 2 When the modules or units of the distribution transformer monitoring system described in the embodiment are implemented through software, the following steps are performed: Figure 2 The software or program code required for the functions of each module / unit can be partially or wholly stored in the memory 704. The processor 702 executes the program code corresponding to each unit stored in the memory 704 to execute the aforementioned power distribution transformer monitoring method.

[0133] This application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that a computing device can store, or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive). The computer-readable storage medium includes instructions that instruct the computing device to execute the aforementioned power distribution transformer monitoring method.

[0134] This application also provides a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, all or part of the processes or functions described in this application are generated.

[0135] The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0136] When the computer program product is executed by a computer, the computer performs any of the aforementioned methods of the distribution transformer monitoring method. The computer program product can be a software installation package; when any of the aforementioned methods of the distribution transformer monitoring method is required, the computer program product can be downloaded and executed on the computer.

[0137] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0138] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.

Claims

1. A method of monitoring a distribution transformer, characterized by, The method includes: Obtain the electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer; Based on the environmental parameters, the temperature parameters and insulation parameters are compensated and corrected to obtain the corrected temperature parameters and insulation parameters; Based on the corrected temperature parameters, corrected insulation parameters, and electrical parameters, characteristic parameters reflecting the transformer fault type are extracted. These characteristic parameters include loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters. Based on the characteristic parameters and the corresponding characteristic parameter thresholds, it is determined whether the transformer has a fault.

2. The method according to claim 1, characterized in that, The corrected temperature parameters are obtained in the following way: in, This indicates the corrected temperature parameter. These correspond to the corrected temperatures of the tank surface, iron core, and windings, respectively. Indicates temperature parameter, Indicates the temperature compensation coefficient. Indicates the ambient temperature at the monitoring point. Indicates the reference ambient temperature. Indicates the real-time load factor of the transformer. Indicates the humidity compensation coefficient. Indicates the temperature reference value. Indicates the ambient humidity at the monitoring point. Indicates the baseline ambient humidity. This represents the aging correction factor, where t represents the normalized operating years. This represents the temperature compensation coefficient for current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

3. The method of claim 1, wherein, The insulation parameters include insulation resistance and dielectric loss factor, and the corrected insulation parameters are obtained in the following way: in, This indicates the corrected insulation resistance. Indicates insulation resistance. This represents the temperature compensation coefficient for insulation resistance. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient for insulation resistance. Indicates the ambient humidity at the monitoring point. The reference ambient humidity is represented by t, which represents the normalized operating years. This indicates the corrected winding temperature; This represents the corrected dielectric loss factor. Indicates the dielectric loss factor. This represents the temperature compensation coefficient for the dielectric loss factor. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient, which indicates the dielectric loss factor. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. Indicates insulation resistance. This indicates the reference value of insulation resistance when the transformer is operating normally.

4. The method of claim 1, wherein, The loss characteristic parameters, temperature characteristic parameters, insulation characteristic parameters, and voltage and current characteristic parameters are obtained in the following way: Loss characteristic parameters include the transformer's copper losses and iron losses: in, Indicates the copper loss of the transformer. This indicates the real-time input current on the high-voltage side. This represents the reference value of the DC resistance of the high-voltage side winding at 20°C. This indicates the temperature coefficient of resistance of copper wire. This indicates the corrected winding temperature. Indicates the normalized operating years. This indicates the real-time output current on the low-voltage side. This represents the reference value of the DC resistance of the low-voltage side winding at 20°C. Indicates the iron loss of the transformer. Indicates the iron loss calibration coefficient. This indicates the real-time input voltage on the high-voltage side. Indicates the real-time load factor of the transformer. Indicates the ambient temperature at the monitoring point; Temperature characteristic parameters include the temperature difference between the winding and the core, and the temperature difference between the winding and the oil tank. wherein, represents the winding temperature difference from the core temperature, represents the corrected winding temperature, represents the corrected core temperature; This indicates the temperature difference between the winding and the oil tank. This indicates the corrected surface temperature of the fuel tank; Insulation characteristic parameters include the rate of change of insulation resistance and the rate of change of dielectric loss factor: in, Indicates the rate of change of insulation resistance. This indicates the corrected insulation resistance. This represents the reference value of the insulation resistance when the transformer is operating normally. Indicates the ambient humidity at the monitoring point. Indicates the baseline ambient humidity; represents a rate of change of the dielectric loss factor, represents a corrected dielectric loss factor, represents a reference value of the dielectric loss factor at the time of factory shipment of the transformer; Voltage and current characteristic parameters include voltage deviation, current deviation, and power factor: wherein, represents a voltage deviation, represents a high-voltage-side real-time input voltage, represents a high-voltage-side rated voltage, represents a high-voltage-side voltage 10-minute moving average; represents a current deviation, represents a high-voltage-side real-time input current, represents a high-voltage-side rated current; represents the power factor, represents the transformer actual real power, represents the transformer actual apparent power.

5. The method of claim 1, wherein, The characteristic parameter thresholds include copper loss threshold, iron loss threshold, temperature difference threshold, insulation characteristic parameter threshold, and voltage and current characteristic parameter threshold.

6. The method of claim 1, wherein, The step of determining whether a transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds includes: If any characteristic parameter is greater than the corresponding characteristic parameter threshold, then the transformer is determined to be faulty.

7. The method of claim 1, wherein, The method further includes: After determining that the transformer has a fault, the fault type and cause are located based on the combination relationship of abnormal characteristic parameters that exceed the characteristic parameter threshold.

8. A distribution transformer monitoring system characterized by, The system includes: The acquisition module is used to acquire electrical parameters, temperature parameters, insulation parameters, and environmental parameters of the distribution transformer. The processing module is used to compensate and correct the temperature parameters and insulation parameters according to the environmental parameters to obtain corrected temperature parameters and corrected insulation parameters; and to extract feature parameters reflecting the transformer fault type according to the corrected temperature parameters, corrected insulation parameters and electrical parameters, the feature parameters including loss feature parameters, temperature feature parameters, insulation feature parameters and voltage and current feature parameters. The judgment module is used to determine whether the transformer has a fault based on the characteristic parameters and the corresponding characteristic parameter thresholds.

9. The system of claim 8, wherein, The processing module is specifically used to calculate the corrected temperature parameters: in, This indicates the corrected temperature parameter. These correspond to the corrected temperatures of the tank surface, iron core, and windings, respectively. Indicates temperature parameter, Indicates the temperature compensation coefficient. Indicates the ambient temperature at the monitoring point. Indicates the reference ambient temperature. Indicates the real-time load factor of the transformer. Indicates the humidity compensation coefficient. Indicates the temperature reference value. Indicates the ambient humidity at the monitoring point. Indicates the baseline ambient humidity. This represents the aging correction factor, where t represents the normalized operating years. This represents the temperature compensation coefficient for current deviation. This indicates the real-time input current on the high-voltage side. This indicates the rated current on the high-voltage side.

10. The system of claim 8, wherein, The processing module is specifically used to calculate the corrected insulation resistance and the corrected dielectric loss factor: in, This indicates the corrected insulation resistance. Indicates insulation resistance. This represents the temperature compensation coefficient for insulation resistance. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the humidity compensation coefficient for insulation resistance. Indicates the ambient humidity at the monitoring point. The reference ambient humidity is represented by t, and the normalized operating years are represented by t. This indicates the corrected winding temperature; This represents the corrected dielectric loss factor. Indicates the dielectric loss factor. This represents the temperature compensation coefficient for the dielectric loss factor. Indicates the ambient temperature at the monitoring point. Indicates the real-time load factor of the transformer. This represents the medium loss factor and humidity compensation coefficient. The indicator represents the ambient humidity at the monitoring point, and t represents the normalized operating years. Indicates insulation resistance. This indicates the reference value of insulation resistance when the transformer is operating normally.

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