An oil-immersed transformer overload monitoring method and related device

Abstract

The application discloses an oil-immersed transformer overload monitoring method and related equipment, and the method comprises the following steps: acquiring load current data of a transformer; judging whether the transformer is in an overload state based on the load current data; when the transformer is in an overload operation state, monitoring basic data of the transformer, and judging whether the transformer meets preset operation conditions of overload based on the operation data; if the transformer meets the preset operation conditions, predicting operation data after a preset time based on the operation data, and completing monitoring and prediction of the overload capacity of the oil-immersed transformer; and when the operation data after the preset time exceeds the preset operation conditions of overload, outputting an alarm information. The application realizes accurate monitoring and prediction in the overload operation of the oil-immersed transformer, and overcomes the shortcomings of extensive management, no prediction and large operation risk when only relying on the overload current multiple and overload time for management and control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil-immersed transformer overload monitoring, and in particular to an oil-immersed transformer overload monitoring method and related equipment. BACKGROUND

[0002] The oil-immersed power transformer is a key device in the power system. In the operation of the transformer, there will be a situation of short-time operation exceeding the rated capacity, i.e. overload operation. For the transformer in overload operation, the manufacturer's specified overload multiple and time are generally used for control. However, due to factors such as working environment and working life, individual differences exist in oil-immersed power transformers, so that the self-state of each oil-immersed power transformer is not the same. Therefore, it is not reasonable to monitor the oil-immersed power transformer only by relying on the manufacturer's specified overload multiple and time, which is not conducive to the safe and stable operation of the transformer and is likely to cause damage to the oil-immersed power transformer and bring operation risks. SUMMARY

[0003] Therefore, the present application provides an oil-immersed transformer overload monitoring method and related equipment to solve the problem that the damage to the oil-immersed power transformer caused by monitoring the oil-immersed power transformer only by relying on the manufacturer's specified overload multiple and time is not accurate for the control of the overload operation of the oil-immersed power transformer. In order to achieve one or part or all of the above purposes or other purposes, the present application provides an oil-immersed transformer overload monitoring method, which comprises: acquiring load current data of an oil-immersed transformer;

[0004] judging whether the transformer is in an overload state based on the load current data;

[0005] when the oil-immersed transformer is in an overload operation state, monitoring the basic data of the oil-immersed transformer and judging whether the oil-immersed transformer meets the preset operation condition of overload based on the operation data;

[0006] if the oil-immersed transformer meets the preset operation condition, predicting the operation data after a preset time based on the operation data to complete the monitoring and prediction of the overload capacity of the oil-immersed transformer;

[0007] when the predicted operation data after the preset time exceeds the preset operation condition of overload, outputting an alarm information of emergency shutdown of the transformer.

[0008] Optionally, the step of judging whether the oil-immersed transformer is in an overload state based on the load current data comprises:

[0009] if the load current data is less than or equal to the rated current data of the oil-immersed transformer, it is judged that the operation state of the oil-immersed transformer is a normal load state;

[0010] if the load current data is greater than the rated current data of the oil-immersed transformer and less than the limit current data of the oil-immersed transformer, determining that the running state of the oil-immersed transformer is an overload state;

[0011] if the load current data is greater than or equal to the limit current data of the oil-immersed transformer, determining that the running state of the oil-immersed transformer is a limit load state.

[0012] Optionally, the method further comprises:

[0013] when the running state of the oil-immersed transformer is a limit load state, continuously acquiring the running data of the oil-immersed transformer and recording the duration of the limit load state;

[0014] setting a risk level of the oil-immersed transformer according to the duration of the limit load state;

[0015] generating an alarm information according to the risk level, the alarm information comprising identification information of the oil-immersed transformer;

[0016] outputting the alarm information based on the monitoring of the oil-immersed transformer.

[0017] Optionally, the step of determining whether the oil-immersed transformer meets the preset running condition based on the running data comprises:

[0018] matching whether the winding temperature information exceeds a winding temperature threshold value, and if the winding temperature information exceeds the winding temperature threshold value, determining that the oil-immersed transformer does not meet the preset running condition;

[0019] matching whether the top layer oil temperature information exceeds a top layer oil temperature threshold value, and if the top layer oil temperature information exceeds the top layer oil temperature threshold value, determining that the oil-immersed transformer does not meet the preset running condition;

[0020] matching whether the oil level information exceeds an oil level threshold value, and if the oil level information exceeds the oil level threshold value, determining that the oil-immersed transformer does not meet the preset running condition;

[0021] if the winding temperature information does not exceed the winding temperature threshold value, the top layer oil temperature information does not exceed the top layer oil temperature threshold value, and the oil level information does not exceed the oil level threshold value, determining that the oil-immersed transformer meets the preset running condition.

[0022] Optionally, the step of predicting the running data after a preset time based on the running data if the oil-immersed transformer meets the preset running condition comprises:

[0023] calculating a target winding temperature change value and a target top layer oil temperature change value in a target time period;

[0024] obtaining a winding temperature change value corresponding to the preset time and a top oil temperature change value corresponding to the preset time based on a proportional relationship between the target time period and the preset time;

[0025] calculating predicted operation data after the preset time according to the winding temperature change value corresponding to the preset time and the top oil temperature change value corresponding to the preset time.

[0026] Optionally, the step of calculating the predicted operation data after the preset time according to the winding temperature change value corresponding to the preset time and the top oil temperature change value corresponding to the preset time, completes the step of monitoring overload of the oil-immersed transformer, comprising:

[0027] obtaining current winding temperature information and current top oil temperature information of the oil-immersed transformer;

[0028] calculating predicted winding temperature information after the preset time based on the current winding temperature information, the winding temperature change value corresponding to the preset time, and a winding temperature correction value;

[0029] calculating predicted top oil temperature information after the preset time based on the current top oil temperature information, the top oil temperature change value corresponding to the preset time, and a top oil temperature correction value;

[0030] taking the predicted winding temperature information and the predicted top oil temperature information as the predicted operation data;

[0031] matching the predicted operation data with the preset operation condition, and judging whether the oil-immersed transformer after the preset time meets the preset operation condition;

[0032] continuously monitoring overload of the oil-immersed transformer, and respectively drawing actual monitoring value curves of load current, winding temperature, top oil temperature, and oil level; and carrying out prediction analysis according to time intervals, and connecting each prediction point with a smooth curve to draw winding temperature and top oil level prediction value curves.

[0033] Optionally, after the step of obtaining the current winding temperature information and the current top oil temperature information of the oil-immersed transformer, the method further comprises:

[0034] obtaining predicted winding temperature information corresponding to the current winding temperature information and predicted top oil temperature information corresponding to the current top oil temperature information;

[0035] calculating a first difference value between the current winding temperature information and the predicted winding temperature information corresponding to the current winding temperature information, and taking the first difference value as the winding temperature correction value;

[0036] The second difference value between the current top oil temperature information and predicted top oil temperature information corresponding to the current top oil temperature information is calculated, and the second difference value is taken as the top oil temperature correction value.

[0037] In another aspect, the application provides an oil-immersed transformer overload monitoring device, the monitoring device comprising:

[0038] A data acquisition module is configured to acquire load current data of the oil-immersed transformer.

[0039] A state recognition module is configured to determine whether the transformer is in an overload state based on the load current data.

[0040] A matching module is configured to monitor basic data of the oil-immersed transformer when the oil-immersed transformer is in an overload operating state, and determine whether the oil-immersed transformer meets an overload preset operating condition based on the operating data.

[0041] A prediction module is configured to predict operating data after a preset time based on the operating data if the oil-immersed transformer meets the preset operating condition, complete monitoring and prediction of an overload capacity of the oil-immersed transformer, and output an alarm information of emergency shutdown of the transformer when the predicted operating data after the preset time exceeds the overload preset operating condition.

[0042] In a third aspect, an electronic device is provided, comprising a processor, a memory and a bus, the memory stores machine readable instructions executable by the processor, when the electronic device is running, the processor and the memory communicate through the bus, and the machine readable instructions are executed by the processor to perform the steps of the oil-immersed transformer overload monitoring method as described above.

[0043] In a fourth aspect, a computer readable storage medium is provided, the computer readable storage medium stores a computer program, and the computer program is executed by the processor to perform the steps of the oil-immersed transformer overload monitoring method as described above.

[0044] By implementing the embodiments of the application, the following beneficial effects can be achieved:

[0045] The load current data of the oil-immersed transformer is acquired; the running state of the oil-immersed transformer is judged based on the load current data, wherein the running state comprises a normal load state, an overload state and a limit load state; the working state of the oil-immersed transformer is identified by means of the load current data of the oil-immersed transformer, the operation is simple, and the division of the running state of the oil-immersed transformer is accurate and reliable; when the running state of the oil-immersed transformer is the overload state, the running data of the oil-immersed transformer is acquired, and it is judged whether the oil-immersed transformer meets the preset running condition based on the running data, wherein the running data comprises winding temperature information, top layer oil temperature information and oil level information; through the monitoring of winding temperature, top layer oil temperature and oil level, the running monitoring and reasonable control of the oil-immersed transformer in the overload process are realized, and data support is provided for timely taking effective measures; if the oil-immersed transformer meets the preset running condition, the predicted running data after a preset time is calculated based on the running data, and the overload monitoring of the oil-immersed transformer is completed; the overload monitoring of the oil-immersed transformer. Through the monitoring of winding temperature, top layer oil temperature and oil level and the prediction of winding temperature and top layer oil temperature, accurate monitoring of the oil-immersed transformer in the overload running process is realized, and the shortcomings of inaccurate control and high risk when only relying on overload current multiple and overload time for control are avoided. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0047] Among them:

[0048] Figure 1 is a flow chart of an oil-immersed transformer overload monitoring method provided by the embodiments of the present application;

[0049] Figure 2 is a structural schematic diagram of an oil-immersed transformer overload monitoring device provided by the embodiments of the present application;

[0050] Figure 3 is a structural schematic diagram of an electronic device provided by the embodiments of the present application;

[0051] Figure 4 is a structural schematic diagram of a storage medium provided by the embodiments of the present application. DETAILED DESCRIPTION

[0052] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0053] As shown in Figure 1 , the embodiment of the present application provides an oil-immersed transformer overload monitoring method, comprising:

[0054] S101, obtaining load current data of an oil-immersed transformer;

[0055] Exemplarily, the load current data of the oil-immersed transformer can be obtained by directly measuring the output current of the oil-immersed transformer, and when the oil-immersed transformer is not convenient for direct measurement, the load current data of the oil-immersed transformer can be calculated by the power consumption of the power-using equipment connected to the oil-immersed transformer and the basic data of the power-using equipment. Taking the power-using equipment as an example of a resistor, in the case of known resistor resistance value and resistor power, the current of the power-using equipment can be calculated, and according to the connection relationship of the power-using equipment, the load current data of the oil-immersed transformer can be obtained.

[0056] S102, judging whether the oil-immersed transformer is in an overload state based on the load current data;

[0057] In a possible implementation, the step of judging the running state of the oil-immersed transformer based on the load current data comprises:

[0058] If the load current data is less than or equal to the rated current data of the oil-immersed transformer, it is judged that the running state of the oil-immersed transformer is a normal load state;

[0059] If the load current data is greater than the rated current data of the oil-immersed transformer and less than the limit current data of the oil-immersed transformer, it is judged that the running state of the oil-immersed transformer is an overload state;

[0060] If the load current data is greater than or equal to the limit current data of the oil-immersed transformer, it is judged that the running state of the oil-immersed transformer is a limit load state.

[0061] Exemplarily, it is judged whether the load current data I exceeds K X *I n , if K X is greater than or equal to 1, it is prompted that the transformer has been in overload operation; if L>K XIf K > M, it is prompted that the transformer is running in the limit condition, M is set to 1.25, and L is set to 1.45; if K < 1, it is prompted that the transformer is running under normal load. X If K < 1, it is prompted that the transformer is running under normal load.

[0062] In S103, when the oil-immersed transformer is in the overload running state, the basic data of the oil-immersed transformer is monitored, and whether the oil-immersed transformer meets the preset running condition of overload is judged based on the running data.

[0063] For example, the way of obtaining the winding temperature information of the oil-immersed transformer can be reading the winding temperature table, the way of obtaining the top layer oil temperature information of the oil-immersed transformer can be reading the transformer thermometer, and the way of obtaining the oil level information of the oil-immersed transformer can be reading the oil level table.

[0064] In S104, if the oil-immersed transformer meets the preset running condition, the running data after a preset time is predicted based on the running data, and the monitoring and prediction of the overload capacity of the oil-immersed transformer are completed.

[0065] In S105, when the predicted running data after a preset time exceeds the preset running condition of overload, an alarm information of emergency shutdown of the transformer is output.

[0066] The load current data of the oil-immersed transformer is obtained, and the running state of the oil-immersed transformer is judged based on the load current data, wherein the running state includes a normal load state, an overload state and a limit load state. The working state of the oil-immersed transformer is identified by the load current data of the oil-immersed transformer, which is simple to operate and accurate and reliable in dividing the running state of the oil-immersed transformer. When the running state of the oil-immersed transformer is in the overload state, the running data of the oil-immersed transformer is obtained, and whether the oil-immersed transformer meets the preset running condition is judged based on the running data, wherein the running data includes winding temperature information, top layer oil temperature information and oil level information. Through the monitoring of winding temperature, top layer oil temperature and oil level, the running monitoring and reasonable control in the overload process of the oil-immersed transformer are realized, which provides data support for timely taking effective measures. If the oil-immersed transformer meets the preset running condition, the predicted running data after a preset time is calculated based on the running data, and the overload monitoring of the oil-immersed transformer is completed. Through the monitoring of winding temperature, top layer oil temperature and oil level and the prediction of winding temperature and top layer oil temperature, the accurate monitoring in the overload running process of the oil-immersed transformer is realized, and the disadvantages of inaccurate control and high risk when only relying on the overload current multiple and overload time for control are avoided.

[0067] In a possible implementation, the method further includes:

[0068] When the operating state of the oil-immersed transformer is an extreme load state, continuously acquiring the operating data of the oil-immersed transformer, and recording the duration of the extreme load state;

[0069] Setting a risk level of the oil-immersed transformer according to the duration of the extreme load state;

[0070] Generating alarm information according to the risk level, the alarm information including identification information of the oil-immersed transformer;

[0071] Outputting the alarm information based on the monitoring of the oil-immersed transformer;

[0072] Determining a maintenance strategy based on the alarm information, and completing the monitoring of the oil-immersed transformer.

[0073] For example, when the operating state of the oil-immersed transformer is an extreme load state, the duration of the extreme load state is recorded. The longer the duration of the extreme load state, the higher the risk level, and the higher the priority of the maintenance of the oil-immersed transformer. By setting the risk level of the oil-immersed transformer, the maintenance personnel can quickly handle the oil-immersed transformer with high risk, reduce accidents, and reduce risks.

[0074] For example, when the operating state of the oil-immersed transformer is an extreme load state, the acquisition of the operating data of the oil-immersed transformer is stopped, the data processing process is reduced, the calculation amount is reduced, and the calculation pressure is reduced.

[0075] In a possible implementation, the step of determining whether the oil-immersed transformer meets a preset operating condition based on the operating data includes:

[0076] Matching whether the winding temperature information exceeds a winding temperature threshold value. If the winding temperature information exceeds the winding temperature threshold value, it is determined that the oil-immersed transformer does not meet the preset operating condition.

[0077] Matching whether the top layer oil temperature information exceeds a top layer oil temperature threshold value. If the top layer oil temperature information exceeds the top layer oil temperature threshold value, it is determined that the oil-immersed transformer does not meet the preset operating condition.

[0078] Matching whether the oil level information exceeds an oil level threshold value. If the oil level information exceeds the oil level threshold value, it is determined that the oil-immersed transformer does not meet the preset operating condition.

[0079] When the winding temperature information does not exceed the winding temperature threshold value, the top layer oil temperature information does not exceed the top layer oil temperature threshold value, and the oil level information does not exceed the oil level threshold value, it is determined that the oil-immersed transformer meets the preset operating condition.

[0080] The winding temperature information T R is greater than a winding temperature threshold T1, if yes, it is judged that the oil-immersed transformer has exceeded the operation limit, and the oil-immersed transformer does not meet the preset operation condition, and the oil-immersed transformer should be immediately shut down or the cooling efficiency of the transformer should be urgently increased, wherein T1 is set to 130°C.

[0081] The top layer oil temperature information T D is greater than a top layer oil temperature threshold T2, if yes, it is judged that the oil-immersed transformer has exceeded the operation limit, and the oil-immersed transformer does not meet the preset operation condition, and the oil-immersed transformer should be immediately shut down or the cooling efficiency of the transformer should be urgently increased, wherein T2 is set to 110°C.

[0082] The oil level information W Y is greater than an oil level threshold Y, if yes, it is judged that the oil-immersed transformer has exceeded the operation limit, and the oil-immersed transformer does not meet the preset operation condition, and the oil-immersed transformer should be immediately shut down or the transformer oil in the oil pillow should be urgently released, wherein Y corresponds to the scale 9 of the oil level gauge, and the scale 10 of the oil level gauge is the full scale, i.e., the full oil level.

[0083] In a possible implementation, if the oil-immersed transformer meets the preset operation condition, the step of calculating the predicted operation data after the preset time based on the operation data includes:

[0084] Calculating a target winding temperature change value and a target top layer oil temperature change value in a target time period;

[0085] Obtaining a winding temperature change value corresponding to the preset time and a top layer oil temperature change value corresponding to the preset time based on the proportional relationship between the target time period and the preset time;

[0086] Calculating the predicted operation data after the preset time according to the winding temperature change value corresponding to the preset time and the top layer oil temperature change value corresponding to the preset time.

[0087] For example, the trends of the winding temperature and the top layer oil temperature changing with time are monitored, and the winding temperature change value ΔT R = winding temperature information at t1-time winding temperature information at t0, and the top layer oil temperature change value ΔT D = top layer oil temperature information at t1-time top layer oil temperature information at t0 in a target time period, i.e., t0-t1.

[0088] Taking a ratio relationship of the target time period and the preset time as an example, the target winding temperature change value is equal to a winding temperature change value corresponding to the preset time, and the target top oil temperature change value is equal to a top oil temperature change value corresponding to the preset time. The predicted running data after the preset time is calculated according to the winding temperature change value corresponding to the preset time and the top oil temperature change value corresponding to the preset time.

[0089] In a possible implementation, the step of calculating the predicted running data after the preset time according to the winding temperature change value corresponding to the preset time and the top oil temperature change value corresponding to the preset time, completes the step of monitoring overload of the oil-immersed transformer, and includes:

[0090] Obtaining current winding temperature information and current top oil temperature information of the oil-immersed transformer;

[0091] Calculating predicted winding temperature information after the preset time based on the current winding temperature information, the winding temperature change value corresponding to the preset time and a winding temperature correction value;

[0092] Calculating predicted top oil temperature information after the preset time based on the current top oil temperature information, the top oil temperature change value corresponding to the preset time and a top oil temperature correction value;

[0093] Taking the predicted winding temperature information and the predicted top oil temperature information as the predicted running data;

[0094] Matching the predicted running data with the preset running condition, judging whether the oil-immersed transformer after the preset time meets the preset running condition, and completing the monitoring of overload of the oil-immersed transformer;

[0095] Matching the predicted running data with the preset running condition, judging whether the oil-immersed transformer after the preset time meets the preset running condition;

[0096] Continuously monitoring overload of the oil-immersed transformer, and respectively drawing actual monitoring value curves of load current, winding temperature, top oil temperature and oil level; and carrying out prediction analysis according to time intervals, and connecting each prediction point by a smooth curve to draw winding temperature and top oil level prediction value curves.

[0097] For example, based on load current data, predicted running data of the oil-immersed transformer and running data of the oil-immersed transformer, actual monitoring value curves of load current, winding temperature, top oil temperature and oil level are drawn, and winding temperature and top oil level prediction value curves are superimposed, so that the monitoring result is more directly represented, and it is convenient for maintenance personnel to browse and analyze the monitoring result.

[0098] Exemplarily, the ratio of the target time period and the preset time is 1:1, that is, the preset time t1-t2 is the same in length as the target time period t0-t1, the predicted ambient temperature information at t2 is equal to the ambient temperature change value AT R + the ambient temperature at t1 + the predicted ambient temperature correction value at t1.

[0099] the predicted top oil temperature information at t2 is equal to the top oil temperature change value AT D + the top oil temperature information at t1 + the top oil temperature correction value at t1.

[0100] In the initial calculation, the predicted ambient temperature correction value and the top oil temperature correction value are both 0.

[0101] Exemplarily, the predicted operation data is matched with the preset operation condition to determine whether the oil-immersed transformer meets the preset operation condition after the preset time. The monitoring is completed before the oil-immersed transformer cannot meet the preset operation condition, so that the monitoring process and result are forward-looking, thereby avoiding the risk caused by the fact that the oil-immersed transformer cannot meet the preset operation condition.

[0102] In a possible implementation, after the step of obtaining the current ambient temperature information and the current top oil temperature information of the oil-immersed transformer, the method further includes:

[0103] obtaining predicted ambient temperature information corresponding to the current ambient temperature information and predicted top oil temperature information corresponding to the current top oil temperature information;

[0104] calculating a first difference value between the current ambient temperature information and the predicted ambient temperature information corresponding to the current ambient temperature information, and taking the first difference value as the ambient temperature correction value;

[0105] calculating a second difference value between the current top oil temperature information and the predicted top oil temperature information corresponding to the current top oil temperature information, and taking the second difference value as the top oil temperature correction value.

[0106] Exemplarily, the ambient temperature correction value at t2 is equal to the current ambient temperature information at t2 minus the predicted ambient temperature information at t2.

[0107] the top oil temperature correction value at t2 is equal to the current top oil temperature information at t2 minus the predicted top oil temperature information at t2.

[0108] On the other hand, as Figure 2 shown, the present application provides an oil-immersed transformer overload monitoring device, which includes:

[0109] a data acquisition module 201 configured to obtain load current data of an oil-immersed transformer;

[0110] The state identification module 202 is configured to determine whether the transformer is in an overload state based on the load current data.

[0111] The matching module 203 is configured to monitor the basic data of the oil-immersed transformer when the oil-immersed transformer is in the overload operation state, and determine whether the oil-immersed transformer meets the preset operation condition of overload based on the operation data.

[0112] The prediction module 204 is configured to, if the oil-immersed transformer meets the preset operation condition, predict the operation data after a preset time based on the operation data, complete the monitoring and prediction of the overload capacity of the oil-immersed transformer, and output an alarm information of emergency shutdown of the transformer when the predicted operation data after the preset time exceeds the preset operation condition of overload.

[0113] In a possible implementation, as shown in Figure 3 The electronic device 300 provided by the embodiment of the present application includes a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: obtaining load current data of an oil-immersed transformer; determining an operation state of the oil-immersed transformer based on the load current data, wherein the operation state includes a normal load state, an overload state, and a limit load state; when the operation state of the oil-immersed transformer is the overload state, obtaining operation data of the oil-immersed transformer, and determining whether the oil-immersed transformer meets a preset operation condition based on the operation data, wherein the operation data includes winding temperature information, top layer oil temperature information, and oil level information; and if the oil-immersed transformer meets the preset operation condition, calculating predicted operation data after a preset time based on the operation data, and completing the step of monitoring the overload of the oil-immersed transformer.

[0114] In a possible implementation, as shown in Figure 4As shown, the embodiment of the present application provides a computer readable storage medium 400, which stores a computer program 411, and the computer program 411 is executed by a processor to realize: obtaining load current data of an oil-immersed transformer; judging an operation state of the oil-immersed transformer based on the load current data, wherein the operation state includes a normal load state, an overload state and a limit load state; when the operation state of the oil-immersed transformer is the overload state, obtaining operation data of the oil-immersed transformer, and judging whether the oil-immersed transformer meets a preset operation condition based on the operation data, wherein the operation data includes winding temperature information, top layer oil temperature information and oil level information; and if the oil-immersed transformer meets the preset operation condition, calculating predicted operation data after a preset time based on the operation data, thereby completing the step of overload monitoring of the oil-immersed transformer.

[0115] Computer readable signal media can include a propagated data signal with computer readable program code embodied therein. For example, a propagated signal can be an electromagnetic signal, an optical signal, and so on. Such signals can be communicated over a variety of computer readable signal media, which communicate program code in a modulated data signal. These signals can also be used, in connection with a program code in sequence, to cause a machine to perform any one of the methodologies discussed herein.

[0116] Program code embodied on a computer readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire line, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0117] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). These network connections are

[0118] Those skilled in the art should understand that the modules or steps of the present application described above can be realized by general computing devices, which can be centralized on a single computing device or distributed on a network composed of multiple computing devices, and optionally, they can be realized by program codes executable by the computing devices, so that they can be stored in storage devices and executed by the computing devices, or they can be respectively manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize. Thus, the present application is not limited to any specific combination of hardware and software.

[0119] It is noted that the above merely describes the preferred embodiments of the present application and the principles of the applied technology. Those skilled in the art will understand that the present application is not limited to the specific embodiments described above, and various obvious changes, re-adjustments and substitutions can be made by those skilled in the art without departing from the scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and more other equivalent embodiments can be included without departing from the concept of the present application, and the scope of the present application is determined by the appended claims.

[0120] The above only discloses the preferred embodiments of the present application, and of course cannot limit the scope of the rights of the present application, so equivalent changes made according to the claims of the present application are still within the scope of the present application.

Claims

1. An oil-immersed transformer overload monitoring method, characterized by, The method comprises the following steps: obtaining load current data of an oil-immersed transformer; judging whether the oil-immersed transformer is in an overload state based on the load current data; when the oil-immersed transformer is in an overload operating state, monitoring basic data of the oil-immersed transformer, and judging whether the oil-immersed transformer meets preset operating conditions of overload based on the operating data; if the oil-immersed transformer meets the preset operating conditions, predicting operating data after a preset time based on the operating data, and completing monitoring and prediction of the overload capacity of the oil-immersed transformer; when the predicted operating data after the preset time exceeds the preset operating conditions of overload, outputting alarm information of emergency shutdown of the transformer; the step of predicting the operating data after the preset time based on the operating data comprises the following steps: calculating a target winding temperature change value and a target top layer oil temperature change value in a target time period; obtaining a winding temperature change value corresponding to the preset time and a top layer oil temperature change value corresponding to the preset time based on a proportional relationship between the target time period and the preset time; calculating the predicted operating data after the preset time according to the winding temperature change value corresponding to the preset time and the top layer oil temperature change value corresponding to the preset time.

2. An oil-immersed transformer overload monitoring method according to claim 1, characterized in that, the step of judging whether the oil-immersed transformer is in an overload state based on the load current data comprises the following steps: if the load current data is less than or equal to rated current data of the oil-immersed transformer, judging that the operating state of the oil-immersed transformer is a normal load state; if the load current data is greater than the rated current data of the oil-immersed transformer and less than limit current data of the oil-immersed transformer, judging that the operating state of the oil-immersed transformer is an overload state; if the load current data is greater than or equal to the limit current data of the oil-immersed transformer, judging that the operating state of the oil-immersed transformer is a limit load state.

3. An oil-immersed transformer overload monitoring method according to claim 1, characterized in that, The method further comprises the following steps: when the operating state of the oil-immersed transformer is a limit load state, continuously obtaining operating data of the oil-immersed transformer, and recording a duration of the limit load state; setting a risk level of the oil-immersed transformer according to the duration of the limit load state; generating alarm information according to the risk level, wherein the alarm information comprises identification information of the oil-immersed transformer; outputting the alarm information based on monitoring of the oil-immersed transformer.

4. An oil-immersed transformer overload monitoring method according to claim 1, characterized in that, the step of judging whether the oil-immersed transformer meets preset operating conditions of overload based on the operating data comprises the following steps: matching whether the winding temperature information exceeds a winding temperature threshold value, if the winding temperature information exceeds the winding temperature threshold value, judging that the oil-immersed transformer does not meet the preset operating conditions; matching whether the top layer oil temperature information exceeds a top layer oil temperature threshold value, if the top layer oil temperature information exceeds the top layer oil temperature threshold value, judging that the oil-immersed transformer does not meet the preset operating conditions; matching whether the oil level information exceeds an oil level threshold value, if the oil level information exceeds the oil level threshold value, judging that the oil-immersed transformer does not meet the preset operating conditions; When the winding temperature information does not exceed the winding temperature threshold, the top oil temperature information does not exceed the top oil temperature threshold, and the oil level information does not exceed the oil level threshold, it is determined that the oil-immersed transformer meets the preset operation condition.

5. An oil-immersed transformer overload monitoring method according to claim 1, characterized in that, The step of completing the overload monitoring of the oil-immersed transformer according to the winding temperature change value corresponding to the preset time and the top oil temperature change value corresponding to the preset time to calculate the predicted operation data after the preset time comprises: obtaining current winding temperature information and current top oil temperature information of the oil-immersed transformer; calculating predicted winding temperature information after the preset time based on the current winding temperature information, the winding temperature change value corresponding to the preset time, and the winding temperature correction value; calculating predicted top oil temperature information after the preset time based on the current top oil temperature information, the top oil temperature change value corresponding to the preset time, and the top oil temperature correction value; taking the predicted winding temperature information and the predicted top oil temperature information as the predicted operation data; matching the predicted operation data with the preset operation condition to determine whether the oil-immersed transformer after the preset time meets the preset operation condition; continuously monitoring the overload of the oil-immersed transformer, and respectively drawing actual monitoring value curves of load current, winding temperature, top oil temperature, and oil level; and performing prediction analysis according to time intervals, and connecting each prediction point with a smooth curve to draw winding temperature and top oil level prediction value curves.

6. The oil-immersed transformer overload monitoring method of claim 5, wherein, After the step of obtaining the current winding temperature information and the current top oil temperature information of the oil-immersed transformer, the method further comprises: obtaining predicted winding temperature information corresponding to the current winding temperature information and predicted top oil temperature information corresponding to the current top oil temperature information; calculating a first difference value between the current winding temperature information and the predicted winding temperature information corresponding to the current winding temperature information, and taking the first difference value as the winding temperature correction value; calculating a second difference value between the current top oil temperature information and the predicted top oil temperature information corresponding to the current top oil temperature information, and taking the second difference value as the top oil temperature correction value.

7. An oil-immersed transformer overload monitoring device, characterized by comprising: The monitoring device comprises: a data acquisition module configured to obtain load current data of the oil-immersed transformer; a state recognition module configured to determine whether the transformer is in an overload state based on the load current data; a matching module configured to, when the oil-immersed transformer is in an overload operation state, monitor basic data of the oil-immersed transformer, and determine whether the oil-immersed transformer meets an overload preset operation condition based on the operation data; a prediction module configured to, if the oil-immersed transformer meets the preset operation condition, predict operation data after a preset time based on the operation data to complete monitoring and prediction of the overload capacity of the oil-immersed transformer; and configured to, when the predicted operation data after the preset time exceeds the overload preset operation condition, output an alarm information of emergency shutdown of the transformer; The step of predicting operation data after a preset time based on the operation data comprises: calculating a target winding temperature change value and a target top oil temperature change value in a target time period; obtaining a winding temperature change value corresponding to the preset time and a top layer oil temperature change value corresponding to the preset time based on a proportional relationship between the target time period and the preset time; calculating predicted operation data after the preset time according to the winding temperature change value corresponding to the preset time and the top layer oil temperature change value corresponding to the preset time.

8. An electronic device, comprising: comprise: a processor, a memory and a bus, the memory stores machine readable instructions executable by the processor, when the electronic device is running, the processor and the memory communicate through the bus, the machine readable instructions are executed by the processor to execute the steps of the oil immersed transformer overload monitoring method in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to execute the steps of the oil immersed transformer overload monitoring method in any one of claims 1 to 6.

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