Transformer temperature control method, device and equipment and storage medium

Abstract

The invention discloses a transformer temperature control method and device, equipment and a storage medium. The method comprises the steps that the cooling oil inlet temperature and the cooling oil outlet temperature of a transformer at the current moment are obtained; according to the cooling oil inlet temperature and the cooling oil outlet temperature, a cooling device is indicated to execute temperature control operation; acquiring operation data of the transformer after the cooling device executes the temperature control operation; the operation data comprises a hot spot temperature, a top oil temperature, an environment temperature, a load rate and an operation duration; inputting the top oil temperature, the environment temperature, the load rate and the operation duration into a hot-spot temperature prediction model to obtain a target hot-spot temperature; acquiring a plurality of historical hot spot temperatures of the transformer; performing curve fitting on the plurality of historical hot-spot temperatures to obtain a hot-spot temperature curve; and performing PID control on the hot-spot temperature according to the hot-spot temperature, the target hot-spot temperature and the hot-spot temperature curve so as to adjust the hot-spot temperature to the target hot-spot temperature. The accuracy of temperature control can be improved.

Description

Technical Field

[0001] The present application relates to the field of transformer technology, and in particular to a transformer temperature control method, device, equipment and storage medium. Background Art

[0002] In recent years, transformer temperature control technology has developed rapidly. Among them, transformer temperature control involves temperature control of multiple locations of the transformer, including: oil tank temperature, hot spot temperature, etc.

[0003] In the existing transformer temperature control method, the temperature of the transformer winding is collected, and when the temperature exceeds a preset threshold, the transformer is cooled by a cooling device to reduce the temperature of the transformer to below the preset threshold. However, simply reducing the temperature of the transformer to below the preset threshold cannot put the transformer winding in the best operating state, and the accuracy of temperature control is low. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the embodiments of the present application provide a transformer temperature control method, device, equipment and storage medium. According to the cooling oil inlet temperature and the cooling oil outlet temperature, the cooling device is instructed to perform temperature control operation. In addition, by inputting the top oil temperature, ambient temperature, load rate and operating time of the transformer into the hot spot temperature prediction model, the target hot spot temperature of the transformer can be predicted. Finally, according to the hot spot temperature curve composed of the target hot spot temperature and the historical hot spot temperature of the transformer, the hot spot temperature can be PID controlled to adjust the hot spot temperature to the target hot spot temperature. The accuracy of temperature control is improved.

[0005] In a first aspect, an embodiment of the present application provides a transformer temperature control method, comprising:

[0006] Acquire temperature data of the transformer at the current moment; the transformer comprises: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device, the oil tank comprises cooling oil, the cooling oil is in contact with the high-voltage winding and the low-voltage winding, the oil tank is connected to the cooling device via a cooling oil inlet pipe and a cooling oil outlet pipe, the cooling device is used to cool the cooling oil in the cooling oil outlet pipe, and transport the cooled cooling oil to the oil tank via the cooling oil inlet pipe; the temperature data comprises a cooling oil inlet temperature of the cooling oil inlet pipe and a cooling oil outlet temperature of the cooling oil outlet pipe;

[0007] Instructing the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature; the temperature control operation is used to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to a preset difference;

[0008] Obtaining the operating data of the transformer after the cooling device performs the temperature control operation; the operating data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and operating time; the hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer; the top oil temperature is the temperature of the top of the oil tank; the ambient temperature is the temperature at a preset distance from the surface of the transformer; the load rate is the ratio of the load power of the transformer to the rated power; the operating time is the time between the start-up time of the transformer and the acquisition time of the operating data;

[0009] Inputting the top oil temperature, the ambient temperature, the load rate and the operating time into a hot spot temperature prediction model to obtain a target hot spot temperature;

[0010] Acquire multiple historical hot spot temperatures of the transformer;

[0011] Performing curve fitting on the multiple historical hot spot temperatures to obtain a hot spot temperature curve;

[0012] The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature, and the hot spot temperature curve, so as to adjust the hot spot temperature to the target hot spot temperature.

[0013] In a second aspect, an embodiment of the present application provides a transformer temperature control device, comprising:

[0014] an acquisition unit, for acquiring temperature data of the transformer at a current moment; the transformer comprising: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device, the oil tank comprising cooling oil, the cooling oil being in contact with the high-voltage winding and the low-voltage winding, the oil tank being connected to the cooling device via a cooling oil inlet pipe and a cooling oil outlet pipe, the cooling device being used to cool the cooling oil in the cooling oil outlet pipe and conveying the cooled cooling oil to the oil tank via the cooling oil inlet pipe; the temperature data comprising a cooling oil inlet temperature of the cooling oil inlet pipe and a cooling oil outlet temperature of the cooling oil outlet pipe;

[0015] a processing unit, configured to instruct the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature; the temperature control operation is configured to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to a preset difference;

[0016] The acquisition unit is used to acquire the operating data of the transformer after the cooling device performs the temperature control operation; the operating data includes: hot spot temperature, top oil temperature, load rate and operating time; the hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer; the top oil temperature is the temperature of the top of the oil tank; the ambient temperature is the temperature at a preset distance from the surface of the transformer; the load rate is the ratio of the load power of the transformer to the rated power; the operating time is the time between the start-up time of the transformer and the acquisition time of the operating data;

[0017] The processing unit is used to input the top oil temperature, the ambient temperature, the load rate and the operating time into a hot spot temperature prediction model to obtain a target hot spot temperature;

[0018] The acquisition unit is used to acquire multiple historical hot spot temperatures of the transformer;

[0019] The processing unit is used to perform curve fitting on the multiple historical hot spot temperatures to obtain a hot spot temperature curve;

[0020] The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature, and the hot spot temperature curve, so as to adjust the hot spot temperature to the target hot spot temperature.

[0021] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory, the processor being connected to the memory, the memory being used to store a computer program, and the processor being used to execute the computer program stored in the memory, so that the electronic device performs the method described in the first aspect.

[0022] In a fourth aspect, an embodiment of the present application 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 described in the first aspect.

[0023] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program product is operable to cause a computer to execute the method described in the first aspect.

[0024] Implementing the embodiments of the present application has the following beneficial effects:

[0025] In the embodiment of the present application, the temperature data of the transformer at the current moment is first obtained, and the temperature data includes the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe. Then, according to the cooling oil inlet temperature and the cooling oil outlet temperature, the cooling device is instructed to perform a temperature control operation. Next, the operation data of the transformer after the cooling device performs the temperature control operation is obtained, and the operation data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and running time. The top oil temperature, ambient temperature, load rate and running time are input into the hot spot temperature prediction model to obtain the target hot spot temperature. Further, multiple historical hot spot temperatures of the transformer are obtained, and curve fitting is performed on multiple historical hot spot temperatures to obtain a hot spot temperature curve. Finally, according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve, PID control is performed on the hot spot temperature to adjust the hot spot temperature to the target hot spot temperature. Therefore, by instructing the cooling device to perform a temperature control operation, the difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer can be greater than or equal to the preset difference, thereby improving the temperature control efficiency. In addition, the target hotspot temperature of the transformer can be predicted through the hotspot temperature prediction model. Combined with the hotspot temperature curve formed by the historical hotspot temperature of the transformer, the hotspot temperature can be PID controlled, so that the hotspot temperature of the low-voltage winding of the transformer is adjusted to the target hotspot temperature, so that the transformer is in the best operating state and the accuracy of temperature control is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 A schematic diagram of a transformer temperature control system provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of a transformer temperature control method provided in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of a transformer temperature control device provided in an embodiment of the present application;

[0030] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the 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.

[0033] Reference to "embodiments" herein means that a particular feature, result, or characteristic described in conjunction with the embodiments 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.

[0034] First, see Figure 1 , Figure 1 Schematic diagram of a transformer temperature control system provided in an embodiment of the present application. Figure 1 As shown, the transformer temperature control system includes: processing equipment, database and transformer.

[0035] The transformer includes: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device. The oil tank includes cooling oil, and the cooling oil contacts the high-voltage winding and the low-voltage winding. The oil tank is connected to the cooling device through a cooling oil inlet pipe and a cooling oil outlet pipe. The cooling device is used to cool the cooling oil in the cooling oil outlet pipe and transport the cooled cooling oil to the oil tank through the cooling oil inlet pipe. The high-voltage winding and the low-voltage winding are used to step up or down the voltage. For example, in a step-up transformer, the low-voltage winding is connected to the input voltage, and the high-voltage winding is connected to the output voltage. In a step-down transformer, the high-voltage winding is connected to the input voltage, and the low-voltage winding is connected to the output voltage. During the operation of the transformer, a large amount of heat is generated on the high-voltage winding and the low-voltage winding, resulting in an increase in the temperature of the high-voltage winding and the low-voltage winding. The cooling oil is in contact with the high-voltage winding and the low-voltage winding, so that the heat of the high-voltage winding and the low-voltage winding is transferred to the cooling oil to cool the high-voltage winding and the low-voltage winding. The cooling oil that absorbs heat flows into the cooling device through the cooling oil outlet pipe. The cooling device can cool the cooling oil flowing into the cooling device, for example, by cooling the cooling oil through a fan, or by absorbing the heat of the cooling oil through other media to cool the cooling oil. The cooling device can transport the cooled cooling oil to the oil tank through the cooling oil inlet pipe, so that the cooling oil in the oil tank can circulate to cool the high-voltage winding and the low-voltage winding.

[0036] In an embodiment of the present application, a hot spot temperature sensor is provided on the surface of the low-voltage winding for detecting the hot spot temperature on the surface of the low-voltage winding. A temperature sensor is provided on the top of the oil tank for detecting the top layer oil temperature on the top of the oil tank. In addition, temperature sensors are provided on the cooling oil inlet pipe and the cooling oil outlet pipe for detecting the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe, respectively. An ambient temperature sensor is also provided at a preset distance from the surface of the transformer for detecting the ambient temperature. The temperatures collected by all temperature sensors and the collection time of each temperature are stored in the database. Among them, the load rate, operating time, and other operating data of the transformer are also stored in the database.

[0037] Among them, the database can be a server composed of one or more computers running in a local area network and a database management system, which is mainly used to provide functions such as data query, data update, data maintenance, cache, secure access and data recovery, including: file server, cloud server, etc. The database can also be a memory that supports data storage, reading and writing functions, such as random access memory (RAM), read-only memory (ROM), flash memory, disk storage, optical storage, etc., which is not specifically limited in this application. In an embodiment of the present application, the database can continuously obtain the temperature data and operation data of the transformer from the sensor of the transformer. In addition, the database can communicate data with the processing device to transmit the temperature data and operation data of the transformer to the processing device.

[0038] In the embodiment of the present application, the processing device can be a processor and controller of the transformer, including: a digital signal processor (Digital Signal Processor, DSP), a single-chip microcontroller (Microcontroller Unit, MCU), a field programmable gate array (Field Programmable Gate Array, FPGA), etc. The processing device can also be a server with data processing and data communication functions, including: an application server, a virtual private server (VirtualPrivate Server, VPS), a cloud server, etc. This application does not make specific restrictions on this. In the embodiment of the present application, the processing device is mainly used to control the temperature of the transformer according to the temperature data and operation data of the transformer.

[0039] It should be noted that in the existing transformer temperature control method, the temperature of the transformer winding is usually directly obtained. After the temperature of the winding exceeds the threshold, the transformer is cooled by a cooling device to reduce the temperature of the transformer to below the preset threshold. However, the transformer is cooled after the temperature of the winding exceeds the threshold, and the timeliness of the temperature control is low, resulting in low safety of the transformer. Moreover, simply by lowering the temperature to below the threshold, the transformer winding cannot be in the best working state, and the accuracy of temperature control is low.

[0040] To this end, the above transformer temperature control system is applied, and the processing device obtains the temperature data of the transformer at the current moment; the temperature data includes the cooling oil inlet temperature of the cooling oil inlet pipeline and the cooling oil outlet temperature of the cooling oil outlet pipeline;

[0041] The processing device instructs the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature;

[0042] The processing device obtains the operation data of the transformer after the cooling device performs the temperature control operation; the operation data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and operation time;

[0043] The processing equipment inputs the top oil temperature, ambient temperature, load rate and operation time into the hot spot temperature prediction model to obtain the target hot spot temperature;

[0044] The processing device obtains multiple historical hot spot temperatures of the transformer;

[0045] The processing device performs curve fitting on multiple historical hot spot temperatures to obtain a hot spot temperature curve;

[0046] The processing device performs PID control on the hot spot temperature according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

[0047] It can be seen that, when applied to the above-mentioned transformer temperature control system, the processing device can instruct the cooling device to perform temperature control operations according to the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe, so as to improve the temperature control efficiency of the cooling oil on the low-voltage winding. In addition, the processing device can predict the target hot spot temperature of the low-voltage winding according to the operating data of the transformer through the hot spot temperature prediction model. According to the hot spot temperature curve composed of the target hot spot temperature and the historical hot spot temperature of the transformer, the hot spot temperature can be PID controlled to adjust the hot spot temperature to the target hot spot temperature, so that the transformer is in the best operating state, and the accuracy of temperature control is improved.

[0048] See also Figure 2 , Figure 2 A schematic diagram of a transformer temperature control method provided in an embodiment of the present application. The method is applied to a processing device in the above-mentioned transformer temperature control system. The method includes but is not limited to the following steps:

[0049] 201: Obtain the temperature data of the transformer at the current moment.

[0050] In an embodiment of the present application, the temperature data includes the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe. Temperature sensors are provided on both the cooling oil inlet pipe and the cooling oil outlet pipe. The temperature sensor of the cooling oil inlet pipe can periodically collect the cooling oil inlet temperature, and the temperature sensor on the cooling oil outlet pipe can periodically collect the cooling oil outlet temperature. Among them, the temperature sensor can be pre-set according to the accuracy requirements of data collection. The collected data is stored in a database, and the processing device can obtain the temperature data at the current moment from the database. Optionally, the processing device can also directly obtain the temperature data at the current moment from the above-mentioned temperature sensor.

[0051] 202: Instruct the cooling device to perform temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature.

[0052] In the embodiment of the present application, the temperature control operation is used to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to the preset difference. It can be understood that the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature is the temperature difference of the cooling oil by the cooling device. The processing device can determine the cooling efficiency of the cooling oil by the cooling device at the current moment according to the cooling oil temperature difference, and instruct the cooling device to perform the temperature control operation according to the cooling efficiency.

[0053] Exemplarily, instructing the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature may include:

[0054] Determine the difference between the cooling oil outlet temperature and the cooling oil inlet temperature to obtain a first cooling oil temperature difference;

[0055] Determine the difference between the first cooling oil temperature difference and the minimum cooling oil temperature difference to obtain a first difference;

[0056] When the first difference is less than the preset difference, if at least one of the cooling oil inlet pipe and the cooling oil outlet pipe is blocked, the cooling device is instructed to perform a cleaning operation on the blocked pipe so that both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked; if both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked, the cooling device is instructed to add cooling oil to the cooling oil inlet pipe, and obtain the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil; determine the difference between the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil, and obtain a second cooling oil temperature difference; determine the difference between the second cooling oil temperature difference and the minimum cooling oil temperature difference, and obtain a second difference; use the second difference as the first difference until the first difference is greater than or equal to the preset difference.

[0057] In the embodiment of the present application, the temperature control operation includes a cleaning operation and a cooling oil adding operation. The processing device can instruct the cooling device to perform a corresponding temperature control operation according to the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature.

[0058] Specifically, the processing device first determines the difference between the cooling oil outlet temperature and the cooling oil inlet temperature to obtain a first cooling oil temperature difference. The first cooling oil temperature difference indicates the cooling temperature of the cooling oil by the cooling device at the current moment, and the cooling temperature also indicates the cooling temperature of the transformer winding by the cooling oil at the current moment. Then, the processing device obtains the minimum cooling oil temperature difference corresponding to the transformer. The difference between the first cooling oil temperature difference and the minimum cooling oil temperature difference is determined to obtain a first difference. The first difference indicates the difference between the cooling temperature of the cooling oil by the cooling device at the current moment and the minimum cooling temperature of the cooling oil by the cooling device.

[0059] When the first difference is less than the preset difference, it means that the cooling temperature of the cooling oil of the cooling device at the current moment cannot meet the cooling demand of the transformer winding. At this time, the processing equipment will first obtain the blockage conditions of the cooling oil inlet pipeline and the cooling oil outlet pipeline. It should be noted that when the cooling oil inlet pipeline and / or the cooling oil outlet pipeline are blocked, the cooling oil circulation rate, the cooling oil inlet flow rate and the cooling oil outlet flow rate will all decrease, resulting in a decrease in the first cooling oil temperature difference. Therefore, the processing equipment needs to obtain the blockage conditions of the cooling oil inlet pipeline and the cooling oil outlet pipeline. The cooling oil inlet pipeline and the cooling oil outlet pipeline are both provided with flow meters, which are used to collect the cooling oil flow rate of the cooling oil inlet pipeline and the cooling oil flow rate of the cooling oil outlet pipeline, respectively. According to the cooling oil flow rate of the cooling oil inlet pipeline, it can be determined whether the cooling oil inlet pipeline is blocked. According to the cooling oil flow rate of the cooling oil outlet pipeline, it can be determined whether the cooling oil outlet pipeline is blocked.

[0060] If at least one of the cooling inlet pipe and the cooling oil outlet pipe is blocked, the processing device will instruct the cooling device to perform a cleaning operation on the blocked pipe so that both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked. Optionally, a cleaning brush may be provided on the cooling device, and when performing the cleaning operation, the cooling device extends the cleaning brush into the blocked pipe and controls the rotation of the cleaning brush to clean the blocked pipe until both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked.

[0061] If the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked, the cooling device is instructed to add cooling oil to the cooling oil inlet pipe, wherein the cooling device can be connected to the spare oil tank, and the cooling device can obtain cooling oil from the spare oil tank, and add the cooling oil obtained from the spare oil tank to the cooling oil inlet pipe. The added cooling oil flows into the oil tank of the transformer through the cooling oil inlet pipe, and at the same time, the cooling oil in the oil tank of the transformer continuously flows into the cooling oil outlet pipe, and enters the cooling device through the cooling oil outlet pipe for cooling, and the cooling device continuously transports the cooled cooling oil to the cooling oil inlet pipe, thereby realizing the circulation of the cooling oil. After adding the cooling oil, the cooling oil outlet temperature and the cooling oil inlet temperature both change. At this time, the processing device obtains the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil. Determine the difference between the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil, and obtain the second cooling oil temperature difference. Then, determine the difference between the second cooling oil temperature difference and the minimum cooling oil temperature difference, and obtain the second difference. The second difference is used as the first difference until the first difference is greater than or equal to the preset difference, instructing the cooling device to stop performing the temperature control operation.

[0062] It can be seen that by taking the difference between the first cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference as the first difference, when the first difference is less than the preset difference, if at least one of the cooling oil inlet pipe and the cooling oil outlet pipe is blocked, the cooling device is instructed to perform a cleaning operation on the blocked pipe. If neither the cooling oil inlet pipe nor the cooling oil outlet pipe is blocked, the cooling device is instructed to add cooling oil to the cooling oil inlet pipe until the first difference is greater than or equal to the preset difference. In this way, the cooling temperature of the transformer winding by the cooling oil can be maintained at a higher temperature, thereby improving the safety of the transformer.

[0063] 203: Acquire operation data of the transformer after the cooling device performs the temperature control operation.

[0064] In the embodiment of the present application, the operation data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and operation time. The hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer. The top oil temperature is the temperature at the top of the oil tank. The ambient temperature is the temperature at a preset distance from the surface of the transformer. The load rate is the ratio of the load power of the transformer to the rated power. The operation time is the time between the start-up time of the transformer and the acquisition time of the operation data.

[0065] Among them, temperature sensors are provided on the surface of the low-voltage winding of the transformer, the top of the oil tank, and the position at a preset distance from the surface of the transformer, and the data collected by the above temperature sensors can be stored in the database. The processing device can obtain the hot spot temperature, the top oil temperature, and the ambient temperature from the database. Optionally, the processing device can also directly obtain the hot spot temperature, the top oil temperature, and the ambient temperature from the above temperature sensors. Among them, the load rate and operating time of the transformer can be monitored in real time by the operating data monitoring device inside the transformer. The processing device can obtain the load rate and operating time of the transformer from the operating data monitoring device.

[0066] 204: Input the top oil temperature, the ambient temperature, the load rate and the operating time into the hot spot temperature prediction model to obtain the target hot spot temperature.

[0067] In the embodiment of the present application, the hotspot temperature prediction model can be obtained by pre-training a preset hotspot temperature prediction model. Through the hotspot temperature prediction model, the target hotspot temperature of the transformer under the optimal operating state can be predicted according to the top oil temperature, ambient temperature, load rate and operating time of the transformer, that is, the transformer efficiency of the low-voltage winding of the transformer at the target hotspot temperature is the highest among all temperatures.

[0068] Exemplarily, the method further comprises the following steps:

[0069] Obtain a preset hot spot temperature prediction model;

[0070] Get the training run data set and the test run data set;

[0071] Taking the training top oil temperature, training environment temperature, training load rate and training operation time of each group of training operation data in the multiple groups of training operation data as input and the training hotspot temperature as output, training the preset hotspot temperature prediction model to obtain a candidate hotspot temperature prediction model;

[0072] Inputting the actual top oil temperature, the actual ambient temperature, the actual load rate and the actual operation time of each set of test operation data in the multiple sets of test operation data into the candidate hotspot temperature prediction model to obtain multiple expected hotspot temperatures;

[0073] determining a loss compensation value according to a plurality of expected hot spot temperatures and an actual hot spot temperature corresponding to each set of test operation data in a plurality of sets of test operation data;

[0074] According to the loss compensation value, the model parameters of the candidate hotspot temperature prediction model are adjusted to obtain the hotspot temperature prediction model.

[0075] In the embodiment of the present application, the training operation data set includes multiple sets of training operation data, each set of training operation data includes: training hotspot temperature, training top oil temperature, training ambient temperature, training load rate and training operation time. The test operation data set includes multiple sets of test operation data, each set of test operation data includes: actual hotspot temperature, actual top oil temperature, actual ambient temperature, actual load rate and actual operation time.

[0076] Specifically, the processing device first obtains a preset hotspot temperature prediction model. The preset hotspot temperature prediction model can be a deep learning network model, for example, a recurrent neural network model (RNN). The preset hotspot temperature prediction model includes: an input layer, multiple hidden layers, and an output layer. The input layer is used to input the feature quantity corresponding to the operation data, and the hidden layer is used to transfer the input feature quantity until it is transferred to the output layer, and the output layer is used to output the feature quantity of the expected hotspot temperature corresponding to the operation data.

[0077] Then, the processing device obtains a training operation data set and a test operation data set. The training top oil temperature, training environment temperature, training load rate and training operation time of each set of training operation data in the multiple sets of training operation data in the training operation data set are used as inputs, and the training hotspot temperature is used as output. The preset hotspot temperature prediction model is trained until the training reaches a preset number of iterations to obtain a candidate hotspot temperature prediction model.

[0078] Next, the processing device inputs the actual top oil temperature, actual ambient temperature, actual load rate and actual operation time of each set of test operation data in the multiple sets of test operation data in the test operation data set into the candidate hotspot temperature prediction model to obtain multiple expected hotspot temperatures. Each set of test operation data corresponds to an expected hotspot temperature. The processing device can determine the loss compensation value according to the multiple expected hotspot temperatures and the actual hotspot temperature corresponding to each set of test operation data in the multiple sets of test operation data.

[0079] Exemplarily, determining the loss compensation value according to a plurality of expected hot spot temperatures and an actual hot spot temperature corresponding to each set of test operation data in a plurality of sets of test operation data may include:

[0080] The loss compensation value is expressed by the following formula (1):

[0081]

[0082] Where L represents the loss compensation value, D represents the number of groups of test run data, and Y i1 represents the actual hot spot temperature corresponding to the i-th group of test running data in multiple groups of test running data, Y i0 represents the expected hot spot temperature corresponding to the i-th set of test run data.

[0083] As can be seen from formula (1), the processing device can determine the square value of the difference between each expected hot spot temperature and the actual hot spot temperature corresponding to the expected hot spot temperature, and obtain multiple square values. Then, the multiple square values ​​are summed to obtain a total square value. Finally, the ratio of the number of groups of the total square value test run data is used as the loss compensation value, and the loss compensation value corresponding to the candidate hot spot temperature prediction model can be obtained.

[0084] Therefore, by determining the loss compensation value of the candidate hotspot temperature prediction model, the deviation value between the expected hotspot temperature predicted by the candidate hotspot temperature prediction model and the actual hotspot temperature can be determined, so as to adjust the model parameters of the candidate hotspot temperature prediction model to improve the prediction accuracy of the hotspot temperature prediction model, thereby improving the accuracy of temperature control.

[0085] Finally, when the loss compensation value is greater than the preset loss compensation value, the processing device adjusts the model parameters of the candidate hotspot temperature prediction model to obtain a new candidate hotspot temperature prediction model, and tests the new candidate hotspot temperature prediction model through a test run data set to obtain a new loss compensation value until the loss compensation value is less than or equal to the preset loss compensation value to obtain the hotspot temperature prediction model.

[0086] It can be seen that by training the preset hotspot temperature prediction model with the training operation data set, a candidate hotspot temperature prediction model can be obtained that can predict the expected hotspot temperature according to the top oil temperature, ambient temperature, load rate and operating time. By testing the candidate hotspot temperature prediction model with the test operation data set, the loss compensation value between the expected hotspot temperature and the actual hotspot temperature can be obtained, and the model parameters of the candidate hotspot temperature prediction model can be adjusted according to the loss compensation value to obtain the hotspot temperature prediction model, so as to predict the target hotspot temperature of the transformer under the optimal operating state through the hotspot temperature prediction model, and improve the accuracy of temperature control.

[0087] 205: Obtain multiple historical hot spot temperatures of the transformer.

[0088] In the embodiment of the present application, the processing device may obtain multiple historical hot spot temperatures of the transformer, and obtain the collection time corresponding to each of the multiple historical hot spot temperatures.

[0089] 206: Perform curve fitting on multiple historical hot spot temperatures to obtain a hot spot temperature curve.

[0090] In an embodiment of the present application, the processing device can perform curve fitting on multiple historical hot spot temperatures by the point plotting method to draw a hot spot temperature curve, the horizontal axis of the hot spot temperature curve represents the collection time of the historical hot spot temperature, and the vertical axis of the hot spot temperature curve represents the historical hot spot temperature.

[0091] 207: Performing proportional integration differential (PID) control on the hot spot temperature according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

[0092] In an embodiment of the present application, PID control may adopt fuzzy PID control to adjust the hot spot temperature corresponding to the low-voltage winding of the transformer to the target hot spot temperature.

[0093] Exemplarily, according to the hotspot temperature, the target hotspot temperature, and the hotspot temperature curve, PID control is performed on the hotspot temperature to adjust the hotspot temperature to the target hotspot temperature, which may include:

[0094] Determine the difference between the target hot spot temperature and the hot spot temperature to obtain the target hot spot temperature difference;

[0095] Determine the difference between a plurality of adjacent hot spot temperatures on the hot spot temperature curve to obtain a plurality of hot spot temperature difference values;

[0096] Determine, according to the multiple hotspot temperature differences, the change rate corresponding to each of the multiple hotspot temperature differences, and obtain the multiple hotspot temperature difference change rates;

[0097] Determining a target temperature difference change rate corresponding to a target hotspot temperature difference according to a plurality of hotspot temperature difference change rates;

[0098] Determine the control coefficient according to the target hot spot temperature difference and the target temperature difference change rate;

[0099] According to the control coefficient, the hot spot temperature is PID controlled to adjust the hot spot temperature to the target hot spot temperature.

[0100] In the embodiment of the present application, the control coefficient includes: a proportional coefficient, an integral coefficient and a differential coefficient. PID control mainly includes: proportional control, integral control and differential control. The processing device can perform PID control on the hotspot temperature by determining the proportional coefficient corresponding to the proportional control, the integral coefficient corresponding to the integral control and the differential coefficient corresponding to the differential control, so as to adjust the hotspot temperature to the target hotspot temperature.

[0101] Specifically, the processing device first determines the difference between the target hot spot temperature and the hot spot temperature to obtain the target hot spot temperature difference. Then, according to a preset cycle, multiple curve hot spot temperatures are selected from the hot spot temperature curve, and the curve hot spot temperature difference between any two of the multiple curve hot spot temperatures is determined to obtain multiple hot spot temperature differences. According to the multiple hot spot temperature differences, the change rate corresponding to each hot spot temperature difference in the multiple hot spot temperature differences can be determined, that is, the ratio of each hot spot temperature difference to the difference between the collection moments of the two curve hot spot temperatures corresponding to the hot spot temperature difference is obtained, thereby obtaining multiple hot spot temperature difference change rates.

[0102] Then, the processing device can determine the target temperature difference change rate corresponding to the target hotspot temperature difference value based on the multiple hotspot temperature difference change rates. For example, the processing device can perform curve fitting on the multiple hotspot temperature difference change rates to obtain the hotspot temperature difference change rate curve, and then obtain the target temperature difference change rate corresponding to the target hotspot temperature difference value from the hotspot temperature difference change rate curve. It should be noted that since the target hotspot temperature is the predicted hotspot temperature, the hotspot temperature difference change rate corresponding to the target hotspot temperature cannot be directly obtained. Therefore, the processing device predicts the target temperature difference change rate corresponding to the target hotspot temperature difference value based on the multiple hotspot temperature difference change rates, and uses the target temperature difference change rate as the hotspot temperature difference change rate corresponding to the target hotspot temperature.

[0103] Then, the control coefficient is determined according to the target hot spot temperature difference and the target temperature difference change rate. Exemplarily, the control coefficient is determined according to the target hot spot temperature difference and the target temperature difference change rate, which may include:

[0104] Determining a target hot spot temperature difference as a first fuzzy value, and determining a target temperature difference change rate as a second fuzzy value;

[0105] Obtaining the fuzzy domain and the membership function corresponding to the first fuzzy value and the second fuzzy value;

[0106] Divide the fuzzy domain into multiple fuzzy subsets;

[0107] Determine the membership of each fuzzy subset of the first fuzzy value in the plurality of fuzzy subsets according to the membership function, and obtain a plurality of first memberships;

[0108] Determine the membership of each fuzzy subset of the second fuzzy value in the plurality of fuzzy subsets according to the membership function, and obtain a plurality of second memberships;

[0109] Obtain control coefficient rule table;

[0110] Determine the degree of membership of the control coefficient in each fuzzy subset among the multiple fuzzy subsets according to the multiple first degrees of membership, the multiple second degrees of membership and the control coefficient rule table, and obtain multiple third degrees of membership;

[0111] A control coefficient is determined according to the plurality of third membership degrees.

[0112] In the embodiment of the present application, the fuzzy domain is the value interval corresponding to the first fuzzy value and the second fuzzy value. The control coefficient rule table is used to indicate the mapping rules between the first membership degree, the second membership degree and the control coefficient membership degree of each fuzzy subset in multiple fuzzy subsets. The control coefficient rule table includes: a proportional coefficient rule table, an integral coefficient rule table and a differential coefficient rule table.

[0113] Specifically, the processing device first determines the target hot spot temperature difference as a first fuzzy value, and determines the target temperature difference change rate as a second fuzzy value. It can be understood that in fuzzy PID control, the first fuzzy value input is the difference between the target value and the actual value, and the second fuzzy value input is the change rate of the difference between the target value and the actual value. Therefore, the processing device will use the target hot spot temperature difference as the first fuzzy value, and the target temperature difference change rate as the second fuzzy value.

[0114] Then, the processing device obtains the fuzzy domain and membership function corresponding to the first fuzzy value and the second fuzzy value. The fuzzy domain is used to limit the value range of the first fuzzy value and the second fuzzy value. The membership function is used to represent the membership mapping relationship between the first fuzzy value or the second fuzzy value and each fuzzy subset in the fuzzy domain. The fuzzy domain and the membership function can be pre-set according to the actual test results. Among them, the membership function can adopt a normal membership function or a Cauchy membership function, which is not limited in this application.

[0115] Further, the processing device will divide the fuzzy domain into multiple fuzzy subsets. For example, when the fuzzy domain is [-3, 3], the fuzzy domain can be divided into 5 fuzzy subsets, namely: [-3, -2], [-2, -1], [-1, 0], [0, 1], [1, 2] and [2, 3]. Each fuzzy subset corresponds to a level, -3 corresponds to negative large, -2 corresponds to negative medium, -1 corresponds to negative small, 0 corresponds to zero, 1 corresponds to positive small, 2 corresponds to positive medium and 3 corresponds to positive large. According to the membership function, the membership of the first fuzzy value in each fuzzy subset in the multiple fuzzy subsets can be determined to obtain multiple first memberships, and the first membership represents the probability that the first fuzzy value belongs to the endpoint of each fuzzy subset in the multiple fuzzy subsets. Similarly, the processing device determines the membership of the second fuzzy value in each fuzzy subset in the multiple fuzzy subsets according to the membership function to obtain multiple second memberships.

[0116] Then, the processing device obtains a control coefficient rule table, including: a proportional coefficient rule table, an integral coefficient rule table, and a differential coefficient rule table. The control coefficient rule table is used to indicate the mapping rules of the first membership, the second membership, and the membership of each fuzzy subset of the control coefficient in multiple fuzzy subsets. For example, in the proportional coefficient rule table, a first membership and a second membership can correspond to a third membership corresponding to a proportional coefficient. The processing device can determine the membership of each fuzzy subset of the proportional coefficient in multiple fuzzy subsets from the proportional coefficient rule table according to the multiple first memberships and the multiple second memberships, and obtain multiple third memberships. Similarly, the processing device can determine the membership of each fuzzy subset of the integral coefficient in multiple fuzzy subsets from the integral coefficient rule table according to the multiple first memberships and the multiple second memberships, and obtain multiple third memberships. According to the multiple first memberships and the multiple second memberships, the membership of each fuzzy subset of the differential coefficient in multiple fuzzy subsets can be determined from the differential coefficient rule table, and multiple third memberships can be obtained.

[0117] Finally, the processing device defuzzifies the control coefficient according to the multiple third memberships to determine the control coefficient. For example, the proportional coefficient is determined according to the multiple third memberships corresponding to the proportional coefficient. The integral coefficient is determined according to the multiple third memberships corresponding to the integral coefficient. The differential coefficient is determined according to the multiple third memberships corresponding to the differential coefficient. The mapping relationship between the multiple third memberships and the control coefficient can be preset based on the actual test results.

[0118] Thus, by taking the target hot spot temperature difference as the first fuzzy value and the target temperature difference change rate as the second fuzzy value. According to the membership function of the first fuzzy value and the second fuzzy value, the membership of the first fuzzy value in each of the multiple fuzzy subsets can be determined to obtain multiple first memberships, and the membership of the second fuzzy value in each of the multiple fuzzy subsets can be determined to obtain multiple second memberships. Then, according to the multiple first memberships and the multiple second memberships, the membership of the control coefficient in each of the multiple fuzzy subsets is determined from the control coefficient rule table to obtain multiple third memberships, thereby determining the control coefficient according to the multiple third memberships. Thus, the hot spot temperature can be PID controlled by the control coefficient, thereby improving the accuracy of temperature control.

[0119] Finally, the processing device inputs the control coefficient into the PID controller to perform PID control on the hot spot temperature, including: proportional control, integral control and differential control, so as to adjust the hot spot temperature corresponding to the low-voltage winding of the transformer to the target hot spot temperature.

[0120] Thus, by determining the difference between the target hot spot temperature and the hot spot temperature, the target hot spot temperature difference is obtained, and the difference between multiple adjacent hot spot temperatures on the hot spot temperature curve is determined to obtain multiple hot spot temperature differences. Then, according to the multiple hot spot temperature differences, the change rate corresponding to each hot spot temperature difference in the multiple hot spot temperature differences is determined, and multiple hot spot temperature difference change rates can be obtained. According to the multiple hot spot temperature difference change rates, the target temperature difference change rate corresponding to the target hot spot temperature difference can be determined. Further, according to the target hot spot temperature difference and the target temperature difference change rate, the control coefficient can be determined. According to the control coefficient, the hot spot temperature can be PID controlled to adjust the hot spot temperature to the target hot spot temperature, so that the low-voltage winding of the transformer is in the best operating state, thereby improving the accuracy of temperature control.

[0121] Exemplarily, before performing PID control on the hot spot temperature according to the control coefficient, the following steps may also be included:

[0122] Get the number of initial population particles, acceleration coefficient and inertia weight;

[0123] Generate multiple population particles according to the number of initial population particles;

[0124] The position and speed of each of the plurality of population particles are used as inputs of PID control, and the fitness evaluation value of each of the plurality of population particles is determined to obtain a plurality of fitness evaluation values;

[0125] If the maximum fitness evaluation value among the multiple fitness evaluation values ​​is less than the preset fitness evaluation value, the position of the population particle corresponding to the maximum fitness evaluation value is taken as the optimal position;

[0126] Determine a target position and a target speed of each of the plurality of population particles according to the optimal position, the acceleration coefficient, the inertia weight, and the position and speed of each of the plurality of population particles;

[0127] According to the target position and target speed of each population particle in the plurality of population particles, a target control coefficient is obtained;

[0128] The target position of each population particle is used as the position of the population particle, the target speed of each population particle is used as the speed of the population particle, and the target control coefficient is used as the control coefficient, until the maximum fitness evaluation value among multiple fitness evaluation values ​​corresponding to multiple population particles is greater than or equal to the preset fitness evaluation value; the target control coefficient when the maximum fitness evaluation value is greater than or equal to the preset fitness evaluation value is used as the control coefficient.

[0129] In the embodiment of the present application, each of the plurality of population particles includes a position and a speed. It should be noted that the control coefficient may change during the operation of the transformer, and the control coefficient needs to be updated by a particle swarm optimization (PSO).

[0130] Specifically, the processing device first obtains the number of initial population particles, acceleration coefficient and inertia weight of the particle swarm. The number of initial population particles, acceleration coefficient and inertia weight can be preset according to actual test results. According to the number of initial population particles, multiple population particles are generated, wherein the position and speed of each population particle corresponds to a random solution of PID control.

[0131] Then, the processing device uses the position and speed of each population particle in the multiple population particles as the input of PID control, determines the fitness evaluation value of each population particle in the multiple population particles, and obtains multiple fitness evaluation values. The fitness evaluation value represents the probability of obtaining the optimal solution when the control coefficient performs PID control on the population particle corresponding to the fitness evaluation value.

[0132] If the maximum fitness evaluation value among the multiple fitness evaluation values ​​is less than the preset fitness evaluation value, it means that the control effect of the PID control through the current control coefficient is poor. The processing device will take the position of the population particle corresponding to the maximum fitness evaluation value as the optimal position, and determine the target position and target speed of each population particle in the multiple population particles according to the optimal position, acceleration coefficient, inertia weight, and the position and speed of each population particle in the multiple population particles.

[0133] The target position and target velocity of each population particle can be expressed by the following formula (2):

[0134]

[0135] Among them, v represents the target velocity of the population particles, x represents the target position of the population particles, v0 represents the target velocity of the population particles, x0 represents the position of the population particles, rand represents a random number between [0, 1], ω represents the inertia weight, c1 and c2 represent the acceleration coefficients, and x best Indicates the optimal position.

[0136] Therefore, according to the optimal position, acceleration coefficient, inertia weight, position and speed of each population particle in the plurality of population particles, the processing device can determine the target position and target speed of each population particle in the plurality of population particles by formula (2).

[0137] Furthermore, according to the target position and target speed of each population particle in the multiple population particles, the target control coefficient can be obtained, wherein the mapping relationship between the target position and the target speed and the target control coefficient can be preset according to the actual test results. The processing device will use the target position of each population particle as the position of the population particle, the target speed of each population particle as the speed of the population particle, and the target control coefficient as the control coefficient, and continue to determine the multiple fitness evaluation values ​​corresponding to the multiple population particles until the maximum fitness evaluation value among the multiple fitness evaluation values ​​corresponding to the multiple population particles is greater than or equal to the preset fitness evaluation value. The target control coefficient when the maximum fitness evaluation value is greater than or equal to the preset fitness evaluation value is used as the control coefficient, and the hot spot temperature is PID controlled by the control coefficient at this time, which can better improve the temperature control effect, thereby improving the accuracy of temperature control.

[0138] In summary, in the embodiment of the present application, the temperature data of the transformer at the current moment is first obtained, and the temperature data includes the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe. Then, according to the cooling oil inlet temperature and the cooling oil outlet temperature, the cooling device is instructed to perform a temperature control operation. Next, the operation data of the transformer after the cooling device performs the temperature control operation is obtained, and the operation data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and running time. The top oil temperature, ambient temperature, load rate and running time are input into the hot spot temperature prediction model to obtain the target hot spot temperature. Further, multiple historical hot spot temperatures of the transformer are obtained, and curve fitting is performed on multiple historical hot spot temperatures to obtain a hot spot temperature curve. Finally, according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve, the hot spot temperature is PID controlled to adjust the hot spot temperature to the target hot spot temperature. Therefore, by instructing the cooling device to perform a temperature control operation, the difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer can be greater than or equal to the preset difference, thereby improving the temperature control efficiency. In addition, the target hotspot temperature of the transformer can be predicted through the hotspot temperature prediction model. Combined with the hotspot temperature curve formed by the historical hotspot temperature of the transformer, the hotspot temperature can be PID controlled, so that the hotspot temperature of the low-voltage winding of the transformer is adjusted to the target hotspot temperature, so that the transformer is in the best operating state and the accuracy of temperature control is improved.

[0139] See also Figure 3 , Figure 3 The schematic diagram of a transformer temperature control device provided in an embodiment of the present application is shown in FIG. 300 . The transformer temperature control device 300 may be a processing device of any of the above embodiments. The transformer temperature control device 300 includes an acquisition unit 301 and a processing unit 302 .

[0140] The acquisition unit 301 is used to acquire the temperature data of the transformer at the current moment; the transformer includes: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device, the oil tank includes cooling oil, the cooling oil is in contact with the high-voltage winding and the low-voltage winding, the oil tank is connected to the cooling device through a cooling oil inlet pipe and a cooling oil outlet pipe, the cooling device is used to cool the cooling oil in the cooling oil outlet pipe, and transport the cooled cooling oil to the oil tank through the cooling oil inlet pipe; the temperature data includes the cooling oil inlet temperature of the cooling oil inlet pipe and the cooling oil outlet temperature of the cooling oil outlet pipe;

[0141] The processing unit 302 is used to instruct the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature; the temperature control operation is used to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to a preset difference;

[0142] The acquisition unit 301 is used to acquire the operation data of the transformer after the cooling device performs the temperature control operation; the operation data includes: hot spot temperature, top oil temperature, load rate and operation time; the hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer; the top oil temperature is the temperature of the top of the oil tank; the ambient temperature is the temperature at a preset distance from the surface of the transformer; the load rate is the ratio of the load power of the transformer to the rated power; the operation time is the time between the start time of the transformer and the acquisition time of the operation data;

[0143] The processing unit 302 is used to input the top oil temperature, the ambient temperature, the load rate and the running time into the hot spot temperature prediction model to obtain the target hot spot temperature;

[0144] An acquisition unit 301 is used to acquire multiple historical hot spot temperatures of the transformer;

[0145] The processing unit 302 is used to perform curve fitting on multiple historical hot spot temperatures to obtain a hot spot temperature curve;

[0146] The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

[0147] In a possible embodiment, in terms of instructing the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature, the processing unit 302 is specifically configured to:

[0148] Determine the difference between the cooling oil outlet temperature and the cooling oil inlet temperature to obtain a first cooling oil temperature difference;

[0149] Determine the difference between the first cooling oil temperature difference and the minimum cooling oil temperature difference to obtain a first difference;

[0150] When the first difference is less than the preset difference, if at least one of the cooling oil inlet pipe and the cooling oil outlet pipe is blocked, the cooling device is instructed to perform a cleaning operation on the blocked pipe so that both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked; if both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked, the cooling device is instructed to add cooling oil to the cooling oil inlet pipe, and obtain the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil; determine the difference between the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil, and obtain a second cooling oil temperature difference; determine the difference between the second cooling oil temperature difference and the minimum cooling oil temperature difference, and obtain a second difference; use the second difference as the first difference until the first difference is greater than or equal to the preset difference.

[0151] In a possible embodiment, in terms of performing PID control on the hotspot temperature according to the hotspot temperature, the target hotspot temperature, and the hotspot temperature curve to adjust the hotspot temperature to the target hotspot temperature, the processing unit 302 is specifically configured to:

[0152] Determine the difference between the target hot spot temperature and the hot spot temperature to obtain the target hot spot temperature difference;

[0153] Determine the difference between a plurality of adjacent hot spot temperatures on the hot spot temperature curve to obtain a plurality of hot spot temperature difference values;

[0154] Determine, according to the multiple hotspot temperature differences, the change rate corresponding to each of the multiple hotspot temperature differences, and obtain the multiple hotspot temperature difference change rates;

[0155] Determining a target temperature difference change rate corresponding to a target hotspot temperature difference according to a plurality of hotspot temperature difference change rates;

[0156] Determine the control coefficient according to the target hot spot temperature difference and the target temperature difference change rate; the control coefficient includes: proportional coefficient, integral coefficient and differential coefficient;

[0157] According to the control coefficient, the hot spot temperature is PID controlled to adjust the hot spot temperature to the target hot spot temperature.

[0158] In a possible embodiment, in determining the control coefficient according to the target hot spot temperature difference and the target temperature difference change rate, the processing unit 302 is specifically configured to:

[0159] Determining a target hot spot temperature difference as a first fuzzy value, and determining a target temperature difference change rate as a second fuzzy value;

[0160] Obtaining a fuzzy domain and a membership function corresponding to the first fuzzy value and the second fuzzy value; the fuzzy domain is a value interval corresponding to the first fuzzy value and the second fuzzy value;

[0161] Divide the fuzzy domain into multiple fuzzy subsets;

[0162] Determine the membership of each fuzzy subset of the first fuzzy value in the plurality of fuzzy subsets according to the membership function, and obtain a plurality of first memberships;

[0163] Determine the membership of each fuzzy subset of the second fuzzy value in the plurality of fuzzy subsets according to the membership function, and obtain a plurality of second memberships;

[0164] Obtaining a control coefficient rule table; the control coefficient rule table is used to indicate a mapping rule between the first membership degree, the second membership degree and the control coefficient membership degree of each fuzzy subset in a plurality of fuzzy subsets; the control coefficient rule table includes: a proportional coefficient rule table, an integral coefficient rule table and a differential coefficient rule table;

[0165] Determine the degree of membership of the control coefficient in each fuzzy subset among the multiple fuzzy subsets according to the multiple first degrees of membership, the multiple second degrees of membership and the control coefficient rule table, and obtain multiple third degrees of membership;

[0166] A control coefficient is determined according to the plurality of third membership degrees.

[0167] In a possible embodiment, before performing PID control on the hot spot temperature according to the control coefficient, the processing unit 302 is further configured to:

[0168] Get the number of initial population particles, acceleration coefficient and inertia weight;

[0169] According to the number of initial population particles, multiple population particles are generated; each of the multiple population particles includes a position and a velocity;

[0170] The position and speed of each of the plurality of population particles are used as inputs of PID control, and the fitness evaluation value of each of the plurality of population particles is determined to obtain a plurality of fitness evaluation values;

[0171] If the maximum fitness evaluation value among the multiple fitness evaluation values ​​is less than the preset fitness evaluation value, the position of the population particle corresponding to the maximum fitness evaluation value is taken as the optimal position;

[0172] Determine a target position and a target speed of each of the plurality of population particles according to the optimal position, the acceleration coefficient, the inertia weight, and the position and speed of each of the plurality of population particles;

[0173] According to the target position and target speed of each population particle in the plurality of population particles, a target control coefficient is obtained;

[0174] The target position of each population particle is used as the position of the population particle, the target speed of each population particle is used as the speed of the population particle, and the target control coefficient is used as the control coefficient, until the maximum fitness evaluation value among multiple fitness evaluation values ​​corresponding to multiple population particles is greater than or equal to the preset fitness evaluation value; the target control coefficient when the maximum fitness evaluation value is greater than or equal to the preset fitness evaluation value is used as the control coefficient.

[0175] In a possible embodiment, the processing unit 302 is further configured to:

[0176] Obtain a preset hot spot temperature prediction model;

[0177] Obtain a training run data set and a test run data set; the training run data set includes multiple sets of training run data, each set of training run data includes: training hotspot temperature, training top oil temperature, training ambient temperature, training load rate and training run time; the test run data set includes multiple sets of test run data, each set of test run data includes: actual hotspot temperature, actual top oil temperature, actual ambient temperature, actual load rate and actual run time;

[0178] Taking the training top oil temperature, training environment temperature, training load rate and training operation time of each group of training operation data in the multiple groups of training operation data as input and the training hotspot temperature as output, training the preset hotspot temperature prediction model to obtain a candidate hotspot temperature prediction model;

[0179] Inputting the actual top oil temperature, the actual ambient temperature, the actual load rate and the actual operation time of each set of test operation data in the multiple sets of test operation data into the candidate hotspot temperature prediction model to obtain multiple expected hotspot temperatures;

[0180] determining a loss compensation value according to a plurality of expected hot spot temperatures and an actual hot spot temperature corresponding to each set of test operation data in a plurality of sets of test operation data;

[0181] According to the loss compensation value, the model parameters of the candidate hotspot temperature prediction model are adjusted to obtain the hotspot temperature prediction model.

[0182] In a possible embodiment, determining the loss compensation value according to a plurality of expected hot spot temperatures and an actual hot spot temperature corresponding to each set of test operation data in a plurality of sets of test operation data includes:

[0183] The loss compensation value is expressed by the following formula (1):

[0184]

[0185] Where L represents the loss compensation value, D represents the number of groups of test run data, and Y i1represents the actual hot spot temperature corresponding to the i-th group of test running data in multiple groups of test running data, Y i0 represents the expected hot spot temperature corresponding to the i-th set of test run data.

[0186] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. 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 can transmit the data stored in the memory 403 to the processor 402. The electronic device 400 can be a transformer temperature control device 300. The electronic device 400 can also be a processing device of any of the above embodiments.

[0187] The processor 402 is used to read the computer program in the memory 403 and perform the following operations:

[0188] Acquire temperature data of the transformer at the current moment; the temperature data includes a cooling oil inlet temperature of a cooling oil inlet pipeline and a cooling oil outlet temperature of a cooling oil outlet pipeline;

[0189] Instructing the cooling device to perform temperature control operations according to the cooling oil inlet temperature and the cooling oil outlet temperature;

[0190] Obtaining the operating data of the transformer after the cooling device performs the temperature control operation; the operating data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and operating time;

[0191] The top oil temperature, ambient temperature, load rate and operating time are input into the hot spot temperature prediction model to obtain the target hot spot temperature;

[0192] Obtain multiple historical hot spot temperatures of the transformer;

[0193] Perform curve fitting on multiple historical hot spot temperatures to obtain a hot spot temperature curve;

[0194] The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

[0195] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process of the method side. It is understandable that the electronic device 400 includes a hardware structure and / or software module corresponding to each function in order to realize the above functions. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present application.

[0196] An 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 one of the methods described in the above method embodiments.

[0197] An 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 is operable to cause a computer to execute part or all of the steps of any one of the methods recorded in the above method embodiments.

[0198] It should be noted that, for the aforementioned method embodiments, 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 the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0199] In the above 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.

[0200] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the 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 the device or unit can be electrical or other forms.

[0201] 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 solution of this embodiment.

[0202] 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.

[0203] 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 is essentially 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, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment 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 CD-ROM and other media that can store program codes.

[0204] A person skilled in the art can understand that all or part of the steps in the various methods of the above 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.

[0205] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments 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 method 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 temperature control method, characterized in that: include: Acquire temperature data of the transformer at the current moment; the transformer comprises: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device, the oil tank comprises cooling oil, the cooling oil is in contact with the high-voltage winding and the low-voltage winding, the oil tank is connected to the cooling device via a cooling oil inlet pipe and a cooling oil outlet pipe, the cooling device is used to cool the cooling oil in the cooling oil outlet pipe, and transport the cooled cooling oil to the oil tank via the cooling oil inlet pipe; the temperature data comprises a cooling oil inlet temperature of the cooling oil inlet pipe and a cooling oil outlet temperature of the cooling oil outlet pipe; Instructing the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature; the temperature control operation is used to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to a preset difference; Obtaining the operating data of the transformer after the cooling device performs the temperature control operation; the operating data includes: hot spot temperature, top oil temperature, ambient temperature, load rate and operating time; the hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer; the top oil temperature is the temperature of the top of the oil tank; the ambient temperature is the temperature at a preset distance from the surface of the transformer; the load rate is the ratio of the load power of the transformer to the rated power; the operating time is the time between the start-up time of the transformer and the acquisition time of the operating data; Inputting the top oil temperature, the ambient temperature, the load rate and the operating time into a hot spot temperature prediction model to obtain a target hot spot temperature; Acquire multiple historical hot spot temperatures of the transformer; Performing curve fitting on the multiple historical hot spot temperatures to obtain a hot spot temperature curve; The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

2. The method according to claim 1, characterized in that The step of instructing the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature includes: Determine the difference between the cooling oil outlet temperature and the cooling oil inlet temperature to obtain a first cooling oil temperature difference; determining a difference between the first cooling oil temperature difference and the minimum cooling oil temperature difference to obtain a first difference; When the first difference is less than the preset difference, if at least one of the cooling oil inlet pipe and the cooling oil outlet pipe is blocked, the cooling device is instructed to perform a cleaning operation on the blocked pipe so that both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked; if both the cooling oil inlet pipe and the cooling oil outlet pipe are not blocked, the cooling device is instructed to add cooling oil to the cooling oil inlet pipe, and obtain the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil; determine the difference between the cooling oil outlet temperature after adding the cooling oil and the cooling oil inlet temperature after adding the cooling oil to obtain a second cooling oil temperature difference; determine the difference between the second cooling oil temperature difference and the minimum cooling oil temperature difference to obtain a second difference; use the second difference as the first difference until the first difference is greater than or equal to the preset difference.

3. The method according to claim 1 or 2, characterized in that: The step of performing PID control on the hotspot temperature according to the hotspot temperature, the target hotspot temperature, and the hotspot temperature curve to adjust the hotspot temperature to the target hotspot temperature includes: Determine the difference between the target hot spot temperature and the hot spot temperature to obtain the target hot spot temperature difference; Determining the difference between a plurality of adjacent hot spot temperatures on the hot spot temperature curve to obtain a plurality of hot spot temperature difference values; Determine, according to the multiple hotspot temperature differences, a change rate corresponding to each of the multiple hotspot temperature differences to obtain multiple hotspot temperature difference change rates; Determining a target temperature difference change rate corresponding to the target hotspot temperature difference according to the multiple hotspot temperature difference change rates; Determine a control coefficient according to the target hot spot temperature difference and the target temperature difference change rate; the control coefficient includes: a proportional coefficient, an integral coefficient and a differential coefficient; The PID control is performed on the hot spot temperature according to the control coefficient to adjust the hot spot temperature to the target hot spot temperature.

4. The method according to claim 3, characterized in that Determining the control coefficient according to the target hot spot temperature difference and the target temperature difference change rate includes: Determining the target hot spot temperature difference as a first fuzzy value, and determining the target temperature difference change rate as a second fuzzy value; Obtaining a fuzzy domain and a membership function corresponding to the first fuzzy value and the second fuzzy value; the fuzzy domain is a value interval corresponding to the first fuzzy value and the second fuzzy value; Dividing the fuzzy domain into a plurality of fuzzy subsets; Determining the membership of the first fuzzy value in each of the multiple fuzzy subsets according to the membership function to obtain multiple first memberships; Determining the membership of the second fuzzy value in each of the multiple fuzzy subsets according to the membership function to obtain multiple second memberships; Acquire a control coefficient rule table; the control coefficient rule table is used to indicate a mapping rule between the first membership degree, the second membership degree and the membership degree of the control coefficient in each of the multiple fuzzy subsets; the control coefficient rule table includes: a proportional coefficient rule table, an integral coefficient rule table and a differential coefficient rule table; Determine the degree of membership of the control coefficient in each fuzzy subset in the multiple fuzzy subsets according to the multiple first degrees of membership, the multiple second degrees of membership and the control coefficient rule table, and obtain multiple third degrees of membership; The control coefficient is determined according to the plurality of third membership degrees.

5. The method according to claim 3, characterized in that: Before performing the PID control on the hot spot temperature according to the control coefficient, the method further includes: Get the number of initial population particles, acceleration coefficient and inertia weight; Generate a plurality of population particles according to the number of the initial population particles; each of the plurality of population particles includes a position and a velocity; Taking the position and speed of each of the plurality of population particles as inputs of the PID control, determining the fitness evaluation value of each of the plurality of population particles, and obtaining a plurality of fitness evaluation values; If the maximum fitness evaluation value among the multiple fitness evaluation values ​​is less than the preset fitness evaluation value, the position of the population particle corresponding to the maximum fitness evaluation value is taken as the optimal position; Determine a target position and a target speed of each of the plurality of population particles according to the optimal position, the acceleration coefficient, the inertia weight, and the position and speed of each of the plurality of population particles; Obtaining a target control coefficient according to a target position and a target speed of each population particle in the plurality of population particles; The target position of each population particle is used as the position of the population particle, the target speed of each population particle is used as the speed of the population particle, and the target control coefficient is used as the control coefficient, until the maximum fitness evaluation value among the multiple fitness evaluation values ​​corresponding to the multiple population particles is greater than or equal to the preset fitness evaluation value; the target control coefficient when the maximum fitness evaluation value is greater than or equal to the preset fitness evaluation value is used as the control coefficient.

6. The method according to claim 1 or 2, characterized in that: The method further comprises: Obtain a preset hot spot temperature prediction model; Acquire a training operation data set and a test operation data set; the training operation data set includes multiple sets of training operation data, each set of training operation data includes: training hotspot temperature, training top oil temperature, training ambient temperature, training load rate and training operation time; the test operation data set includes multiple sets of test operation data, each set of test operation data includes: actual hotspot temperature, actual top oil temperature, actual ambient temperature, actual load rate and actual operation time; Taking the training top oil temperature, training environment temperature, training load rate and training operation time of each group of training operation data in the multiple groups of training operation data as input and the training hotspot temperature as output, training the preset hotspot temperature prediction model to obtain a candidate hotspot temperature prediction model; Inputting the actual top oil temperature, the actual ambient temperature, the actual load rate and the actual operation time of each set of test operation data in the multiple sets of test operation data into the candidate hotspot temperature prediction model to obtain multiple expected hotspot temperatures; determining a loss compensation value according to the plurality of expected hot spot temperatures and an actual hot spot temperature corresponding to each set of test operation data in the plurality of sets of test operation data; According to the loss compensation value, the model parameters of the candidate hotspot temperature prediction model are adjusted to obtain the hotspot temperature prediction model.

7. The method according to claim 6, characterized in that The determining the loss compensation value according to the multiple expected hot spot temperatures and the actual hot spot temperature corresponding to each set of test operation data in the multiple sets of test operation data includes: The loss compensation value is expressed by the following formula: Wherein, L represents the loss compensation value, D represents the number of groups of the test run data, and Y i1 represents the actual hot spot temperature corresponding to the i-th group of test running data in multiple groups of test running data, Y i0 represents the expected hot spot temperature corresponding to the i-th set of test run data.

8. A transformer temperature control device, characterized in that: include: an acquisition unit, for acquiring temperature data of the transformer at a current moment; the transformer comprising: a high-voltage winding, a low-voltage winding, an oil tank and a cooling device, the oil tank comprising cooling oil, the cooling oil being in contact with the high-voltage winding and the low-voltage winding, the oil tank being connected to the cooling device via a cooling oil inlet pipe and a cooling oil outlet pipe, the cooling device being used to cool the cooling oil in the cooling oil outlet pipe and conveying the cooled cooling oil to the oil tank via the cooling oil inlet pipe; the temperature data comprising a cooling oil inlet temperature of the cooling oil inlet pipe and a cooling oil outlet temperature of the cooling oil outlet pipe; a processing unit, configured to instruct the cooling device to perform a temperature control operation according to the cooling oil inlet temperature and the cooling oil outlet temperature; the temperature control operation is configured to make the difference between the cooling oil temperature difference between the cooling oil outlet temperature and the cooling oil inlet temperature and the minimum cooling oil temperature difference corresponding to the transformer greater than or equal to a preset difference; The acquisition unit is used to acquire the operating data of the transformer after the cooling device performs the temperature control operation; the operating data includes: hot spot temperature, top oil temperature, load rate and operating time; the hot spot temperature is the temperature of the surface of the low-voltage winding of the transformer; the top oil temperature is the temperature of the top of the oil tank; the ambient temperature is the temperature at a preset distance from the surface of the transformer; the load rate is the ratio of the load power of the transformer to the rated power; the operating time is the time between the start-up time of the transformer and the acquisition time of the operating data; The processing unit is used to input the top oil temperature, the ambient temperature, the load rate and the operating time into a hot spot temperature prediction model to obtain a target hot spot temperature; The acquisition unit is used to acquire multiple historical hot spot temperatures of the transformer; The processing unit is used to perform curve fitting on the multiple historical hot spot temperatures to obtain a hot spot temperature curve; The hot spot temperature is PID-controlled according to the hot spot temperature, the target hot spot temperature and the hot spot temperature curve to adjust the hot spot temperature to the target hot spot temperature.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device executes the method as 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.

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