Transformer electromagnetic radiation minimization method and system

Abstract

The invention discloses a transformer electromagnetic radiation minimization method and system, and relates to the technical field of power systems, and the method comprises the steps: building an electromagnetic radiation model; using a sensor to collect transformer radiation influence parameters in real time; inputting the influence parameters into the electromagnetic radiation model; operating parameter optimization is initiated when the predicted radiation level exceeds a safety threshold. According to the transformer electromagnetic radiation minimization method provided by the invention, by predicting the future electromagnetic radiation level of the transformer and adjusting the operating parameters of the transformer in real time, the change of the operating state and the environmental condition of the transformer can be dynamically coped with, so that more accurate and effective electromagnetic radiation control is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and system for minimizing electromagnetic radiation of a transformer. Background Art

[0002] Although some progress has been made in the electromagnetic radiation control technology of transformers in power systems, the existing technology still has many shortcomings. In particular, the existing technology often uses static or post-processing methods to reduce electromagnetic radiation, such as adding shielding materials or adopting a specific structural layout during the transformer design stage to reduce radiation. Although these methods are effective to a certain extent, they are usually unable to dynamically adapt to the operating status of the transformer and changes in the surrounding environment, thus limiting the radiation reduction effect in practical applications.

[0003] Existing electromagnetic radiation control technologies often ignore the potential impact of real-time adjustment of transformer operating parameters (such as current and voltage) on electromagnetic radiation control. In addition, these methods fail to fully consider the dynamic changes of environmental factors (such as temperature and humidity) on electromagnetic radiation, resulting in the control strategy being less effective when facing actual complex environments.

[0004] Furthermore, traditional methods often rely on outdated control algorithms and lack the ability to accurately predict and optimize in real time, which not only limits the efficiency and effectiveness of electromagnetic radiation reduction, but also increases energy consumption and operating costs. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the prior art cannot dynamically adjust the electromagnetic radiation control strategy according to the actual operating state of the transformer and the immediate changes in the surrounding environment. The present invention provides a method based on model predictive control (MPC), which can predict the electromagnetic radiation level in real time and adjust the operating parameters of the transformer accordingly, thereby achieving instant control of electromagnetic radiation.

[0007] The existing methods lack an effective operating parameter optimization mechanism and cannot ensure that electromagnetic radiation is minimized without affecting the normal operation of the transformer. The present invention calculates the optimal transformer operating parameters through an accurate electromagnetic radiation model and advanced optimization algorithm to ensure that electromagnetic radiation is minimized while maintaining transformer performance.

[0008] The prior art fails to fully consider the special needs of different transformers and environmental conditions. The method of the present invention can be adaptively adjusted according to the specific type and structure of the transformer and the environmental conditions (such as temperature and humidity, etc.), and has better versatility and flexibility.

[0009] Existing control strategies often fail to fully optimize energy consumption and operating costs. The method of the present invention not only reduces electromagnetic radiation but also optimizes energy utilization through a more precise and efficient control mechanism, thereby reducing operating costs.

[0010] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for minimizing electromagnetic radiation of a transformer, comprising:

[0011] Establish electromagnetic radiation model;

[0012] Use sensors to collect transformer radiation impact parameters in real time;

[0013] Inputting influencing parameters into the electromagnetic radiation model;

[0014] When the predicted radiation level exceeds the safety threshold, the operating parameter optimization is initiated.

[0015] As a preferred solution of the transformer electromagnetic radiation minimization method of the present invention, the electromagnetic radiation model is expressed as:

[0016]

[0017] in, is the electromagnetic radiation level, V and I are the operating voltage and current of the transformer respectively, freq is the operating frequency, T and H are the ambient temperature and humidity, μ, σ and ε are the magnetic permeability of the core, the electrical conductivity of the winding and the dielectric constant of the insulating medium respectively, and d is the characteristic size vector of the transformer.

[0018] As a preferred solution of the transformer electromagnetic radiation minimization method described in the present invention, the transformer radiation influencing parameters include transformer operating parameters and environmental parameters.

[0019] As a preferred solution of the transformer electromagnetic radiation minimization method described in the present invention, the step of inputting the influencing parameters into the electromagnetic radiation model includes inputting real-time data into the electromagnetic radiation model to predict the electromagnetic radiation level within a preset time in the future.

[0020] As a preferred solution of the transformer electromagnetic radiation minimization method of the present invention, the electromagnetic radiation level is expressed as:

[0021]

[0022] in, is the predicted value of the electromagnetic radiation level at the kth sampling moment in the future, τ represents the length of the prediction period, V(t+k|t), I(t+k|t), T(t+k|t), H(t+k|t) are the predicted values ​​of voltage, current, temperature and humidity at the kth sampling moment in the future based on the information at time t;

[0023] Prediction results With the safety threshold E max For comparison, if Start optimization of operating parameters.

[0024] As a preferred solution of the transformer electromagnetic radiation minimization method described in the present invention, the operation parameter optimization adopts a quadratic programming algorithm to obtain the optimal voltage and current parameter adjustment curve within the future τ time period;

[0025] The quadratic programming algorithm is expressed as,

[0026]

[0027] SV min (s)≤V(s)≤V max (s)

[0028] I min (s)≤I(s)≤I max (s)

[0029] |V(s)-V(s-1)|≤ΔV max

[0030] |I(s)-I(s-1)|≤ΔI max

[0031] s∈[t,t+τ]

[0032] Among them, V(s) and I(s) are the optimized transformer voltage and current curves respectively with respect to the time s. min (s), V max (s), I min (s), I max (s) is the dynamic constraint boundary of voltage and current, ΔV max and ΔI max is the maximum adjustment step size for voltage and current.

[0033] As a preferred solution of the transformer electromagnetic radiation minimization method of the present invention, the voltage and current adjustment curves obtained by optimizing the operating parameters are discretized into a control instruction sequence, which is sent to the transformer control system;

[0034] The control system adjusts the actual operating parameters of the transformer to the optimized target values ​​in real time by adjusting the transformer's tap changer and power regulation device according to the instruction sequence.

[0035] Another object of the present invention is to provide a transformer electromagnetic radiation minimization system, which can solve the problems of lack of real-time performance, insufficient optimization, limited adaptability and flexibility of traditional systems, and how to optimize energy consumption and operating costs by constructing a transformer electromagnetic radiation minimization system.

[0036] To solve the above technical problems, the present invention provides the following technical solutions: a transformer electromagnetic radiation minimization system, comprising: a model building module, a data acquisition module, a parameter entry module and a parameter optimization module; the model building module is used to establish an electromagnetic radiation model; the data acquisition module is used to use sensors to collect transformer radiation influencing parameters in real time; the parameter entry module is used to input the influencing parameters into the electromagnetic radiation model; the parameter optimization module is used to start operating parameter optimization when the predicted radiation level exceeds a safety threshold.

[0037] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the transformer electromagnetic radiation minimization method as described above when executing the computer program.

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the transformer electromagnetic radiation minimization method as described above.

[0039] Beneficial effects of the present invention: The transformer electromagnetic radiation minimization method provided by the present invention predicts the future electromagnetic radiation level of the transformer and adjusts its operating parameters in real time. The present invention can dynamically respond to changes in the operating state and environmental conditions of the transformer, thereby achieving more accurate and effective electromagnetic radiation control.

[0040] By using an optimization algorithm, the present invention can calculate the optimal transformer operating parameters to ensure that electromagnetic radiation is minimized without sacrificing transformer performance, thereby effectively protecting the environment and human health.

[0041] The present invention can be adaptively adjusted according to the specific requirements of different transformer types and working environments, has better versatility and adaptability, and is suitable for a variety of transformers and operating environments.

[0042] By optimizing the operating parameters of the transformer, the present invention not only reduces electromagnetic radiation, but also optimizes energy utilization efficiency, helps to reduce energy consumption and operating costs, and supports green energy and sustainable development goals.

[0043] Optimized operating parameters reduce the risk of transformer overload and help reduce equipment wear and failure rate, thereby extending the service life of the transformer and reducing maintenance and replacement costs.

[0044] Through real-time monitoring and adjustment, the present invention can ensure that the transformer operates in an optimal state and improve the stability and reliability of the entire power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0046] Figure 1 An overall flow chart of a method for minimizing electromagnetic radiation of a transformer provided by an embodiment of the present invention.

[0047] Figure 2 Another overall flow chart of a method for minimizing electromagnetic radiation of a transformer provided by an embodiment of the present invention.

[0048] Figure 3 An overall structural diagram of a transformer electromagnetic radiation minimization system provided by an embodiment of the present invention.

[0049] Figure 4 A diagram showing experimental results of a method for minimizing electromagnetic radiation of a transformer provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0051] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0052] Example 1, reference Figure 1-Figure 2 , as an embodiment of the present invention, provides a method for minimizing electromagnetic radiation of a transformer, comprising:

[0053] like Figure 2 As shown, step 1: electromagnetic radiation model establishment

[0054] A mathematical model is established to accurately describe the relationship between transformer operating parameters and electromagnetic radiation levels. The model is based on Maxwell's equations and comprehensively considers factors such as the transformer's geometric structure, winding and core material properties, operating frequency, and the influence of external conditions such as ambient temperature and humidity.

[0055] The basic form of the model is as follows:

[0056]

[0057] in, is the electromagnetic radiation level, V and I are the operating voltage and current of the transformer respectively, freq is the operating frequency, T and H are the ambient temperature and humidity, μ, σ and ε are the magnetic permeability of the core, the electrical conductivity of the winding and the dielectric constant of the insulating medium respectively, and d is the characteristic size vector of the transformer;

[0058] The specific form of function f is obtained by solving Maxwell's equations and combining the geometric boundary conditions of the transformer. The general form is:

[0059]

[0060] Among them, H is the magnetic field intensity, J is the current density, D is the electric displacement, E is the electric field intensity, B is the magnetic induction intensity, and ρ is the charge density. Solving the above partial differential equations, we can get the analytical expression describing the electromagnetic field distribution, and then calculate the electromagnetic radiation level on the transformer surface and the surrounding space;

[0061] Step 2: Real-time data collection

[0062] High-precision sensors are used to collect transformer operating parameters and environmental parameters in real time and transmit them to the data processing center. The transformer operating parameters include: voltage V: using a voltage transformer with an accuracy of not less than 0.2 and a sampling frequency of not less than 10kHz; current I: using a current transformer with an accuracy of not less than 0.2 and a sampling frequency of not less than 10kHz;

[0063] Environmental parameters include: Temperature T: using Pt100 platinum resistance temperature sensor, accuracy not less than ±0.1℃, sampling frequency not less than 1Hz, Humidity H: using capacitive humidity sensor, accuracy not less than ±2%RH, sampling frequency not less than 1Hz

[0064] The collected data is pre-processed by synchronization, calibration, denoising, etc. to remove outliers and ensure data quality. The pre-processed data is used for subsequent electromagnetic radiation level prediction;

[0065] Step 3: Prediction of electromagnetic radiation levels

[0066] Input the collected and preprocessed real-time data V, I, T, H into the electromagnetic radiation model established in step 1 to predict the electromagnetic radiation level in the future The length of the prediction period τ can be set according to actual needs, generally 1 to 30 minutes;

[0067] The formula for recursively calculating the predicted value is:

[0068]

[0069] in, is the predicted value of the electromagnetic radiation level at the kth sampling moment in the future,

[0070] V(t+k|t), I(t+k|t), T(t+k|t), H(t+k|t) are the predicted values ​​of voltage, current, temperature and humidity at the kth sampling moment in the future based on the information at time t. The prediction of these variables can be achieved through time series analysis methods;

[0071] Prediction results With the safety threshold E max For comparison, if This triggers the optimization of the operating parameters in step 4;

[0072] Step 4: Optimization of operating parameters

[0073] When the predicted radiation level exceeds the safety threshold, the operation parameter optimization is started. The optimization goal is to solve the transformer voltage and current parameter adjustment curve that minimizes the cumulative radiation level in the future period while meeting the transformer performance and safety constraints.

[0074] The quadratic programming algorithm is used to solve the following optimization problem:

[0075]

[0076] SV min (s)≤V(s)≤V max (s)

[0077] I min (s)≤I(s)≤I max (s)

[0078] |V(s)-V(s-1)|≤ΔV max

[0079] |I(s)-I(s-1)|≤ΔI max

[0080] s∈[t,t+τ]

[0081] Among them, V(s) and I(s) are the optimized transformer voltage and current curves respectively with respect to the time s. min (s), V max (s), I min (s), I max (s) is the dynamic constraint boundary of voltage and current, ΔV max and ΔI max is the maximum adjustment step of voltage and current;

[0082] The optimal voltage and current parameter adjustment curves V(s) and I(s) in the future τ time period are obtained by optimization.

[0083] Step 5: Real-time parameter adjustment

[0084] The voltage and current adjustment curve V obtained by step 4 optimization * (s) and I * (s) is discretized into a control instruction sequence and sent to the transformer control system. According to the instruction sequence, the control system adjusts the transformer's tap switch and power supply adjustment device to adjust the transformer's actual operating parameters V(s) and I(s) to the optimized target values ​​in real time;

[0085] During the adjustment process, the control system provides real-time feedback on the adjustment execution status, including actual operating parameter curves, adjustment deviations, etc. These feedback information are used to evaluate the adjustment effect and start a new round of optimization control cycle when necessary;

[0086] This embodiment can accurately control the electromagnetic radiation level of the transformer through an accurate electromagnetic radiation prediction model, an efficient parameter optimization algorithm, and real-time closed-loop control. This solution makes full use of online monitoring data, has strong real-time adaptive capabilities, and can significantly improve the safety and environmental performance of the transformer.

[0087] It should be noted that the core principle of the present invention is based on model predictive control technology, and its main purpose is to achieve dynamic minimization of transformer electromagnetic radiation through prediction and optimization, while ensuring the stability and efficiency of transformer operation. Model predictive control technology is an advanced control strategy that can predict the behavior of the system in the future and formulate control strategies based on it to achieve the predetermined goals;

[0088] The present invention adopts this technology to achieve the control of electromagnetic radiation through the following key steps:

[0089] Establishment of electromagnetic radiation model: First, an accurate electromagnetic radiation prediction model is established. This model can describe the relationship between transformer operating parameters and electromagnetic radiation levels. This model also takes into account factors such as the transformer's structural characteristics, materials used, operating frequency, and surrounding environmental conditions to ensure the accuracy of the prediction.

[0090] Real-time data collection and analysis: High-precision sensors are used to collect real-time data on the transformer’s operating parameters and its surrounding environment, such as voltage, current, temperature, and humidity. These data are fed into a prediction model to predict the electromagnetic radiation level in the future.

[0091] Optimization control strategy: Based on the output of the prediction model, an optimization algorithm is used to calculate a series of optimal operating parameter adjustments aimed at minimizing the electromagnetic radiation level while taking into account the performance and safety constraints of the transformer;

[0092] Real-time parameter adjustment: The optimal operating parameter adjustment scheme obtained by the optimization algorithm is implemented in the transformer control system to realize the dynamic adjustment of the transformer operating parameters. In this way, the electromagnetic radiation level can be controlled in real time and adaptively adjusted according to the actual situation.

[0093] Example 2, reference Figure 3 , as an embodiment of the present invention, provides a transformer electromagnetic radiation minimization system, comprising:

[0094] Model building module 100, data collection module 200, parameter input module 300 and parameter optimization module 400;

[0095] The model building module 100 is used to establish an electromagnetic radiation model;

[0096] The data acquisition module 200 is used to collect transformer radiation impact parameters in real time using sensors;

[0097] The parameter input module 300 is used to input the influencing parameters into the electromagnetic radiation model;

[0098] The parameter optimization module 400 is used to start operation parameter optimization when the predicted radiation level exceeds a safety threshold.

[0099] Embodiment 3, an embodiment of the present invention, is different from the first two embodiments in that:

[0100] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0101] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0102] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0103] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0104] Example 4, reference Figure 4 , which is an embodiment of the present invention, provides a method for minimizing electromagnetic radiation of a transformer. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0105] like Figure 3 As shown in the figure, the comparison of the transformer's working electromagnetic radiation level before and after optimization. The horizontal axis represents the operating voltage of the transformer, and the vertical axis represents the electromagnetic radiation level in the transformer's surrounding environment under a given voltage. After applying the optimization algorithm, the electromagnetic radiation level is generally reduced, indicating that the optimization measures effectively reduce the transformer's electromagnetic radiation.

[0106] In Example 4, a series of specific experimental steps are used to demonstrate the practical effect of the transformer electromagnetic radiation minimization method of the present invention. The purpose of the experiment is to verify the effectiveness of the method in reducing the electromagnetic radiation level in practical applications and to evaluate the practical effect of the optimization algorithm used.

[0107] The experiment selected a small oil-immersed distribution transformer with a small rated capacity, a primary rated voltage of 220V, and a secondary rated voltage of 24V as the object. The core material, winding material and geometric dimensions of the transformer are known, which is convenient for building an accurate electromagnetic radiation model. The experimental environment is carried out in a laboratory with a temperature maintained at 25°C and humidity maintained at 50%RH to reduce the interference of environmental factors. The data acquisition system includes high-precision voltage and current transformers, temperature and humidity sensors, and electromagnetic radiation measuring instruments that meet international standards to ensure the accuracy of the experimental data. In addition, by equipping a programmable logic controller (PLC) and a simple power supply adjustment device, real-time adjustment of the transformer operating parameters is achieved.

[0108] The experiment starts with the establishment of the model. Using the specific material properties and geometric parameters of the transformer, an accurate model suitable for the transformer is constructed based on the electromagnetic radiation model described in Example 1. Then, voltage, current, temperature and humidity data are collected under different operating voltage conditions, sampled at a frequency of 10kHz (voltage, current) and 1Hz (temperature, humidity), and the data are preprocessed by data synchronization and filtering techniques.

[0109] Without using the optimization algorithm, the electromagnetic radiation level before optimization is first tested. In this stage, the transformer operating voltage is gradually increased from 90% to 110% of the rated voltage, with an increase of 5% each time, and the transformer operating parameters and electromagnetic radiation level are recorded at each voltage level, and finally the electromagnetic radiation curve before optimization is drawn.

[0110] Subsequently, the optimization algorithm is applied to control electromagnetic radiation. When the electromagnetic radiation level at a certain voltage level exceeds the safety threshold, the operation parameter optimization is triggered. The optimization process is based on the quadratic programming algorithm, which sets the optimal voltage and current adjustment curves for the next 30 minutes by solving the corresponding optimization problem. The optimization results provide the optimal voltage and current adjustment curves suitable for the transformer in the next 30 minutes.

[0111] In the post-optimization test phase, according to the optimal adjustment curve obtained, the transformer tap switch and load are adjusted in real time through the control system to adjust the actual operating parameters to the expected values. The experiment records the optimized electromagnetic radiation level and draws the optimized electromagnetic radiation level curve. Finally, the electromagnetic radiation curves before and after optimization are plotted in the same coordinate system for intuitive comparison.

[0112] Data analysis shows that the electromagnetic radiation level after optimization is reduced throughout the voltage range, but at lower voltages (approximately 2 to 4 volts), the radiation levels before and after optimization almost overlap, showing that the optimization effect is smaller at low voltages. However, as the voltage gradually increases, the gap in radiation levels before and after optimization gradually emerges. In the higher voltage range (8 to 10 volts), the electromagnetic radiation level after optimization is significantly lower than before optimization, with the largest gap, indicating that under high voltage conditions, the optimization measures are more effective in reducing radiation levels. Overall, at the highest voltage point, the electromagnetic radiation level was reduced by an average of about 15%.

[0113] The experimental results show that the method of the present invention can effectively reduce the electromagnetic radiation of the transformer in practical applications, especially showing a significant optimization effect under high voltage conditions. At the same time, the optimization process will not have a negative impact on the normal operation of the transformer, meet the requirements of real-time control, and show high stability and feasibility. Through this experimental verification, the method has the potential for promotion under different types of transformers and environmental conditions.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for minimizing electromagnetic radiation of a transformer, characterized in that: include: Establish electromagnetic radiation model; Use sensors to collect transformer radiation impact parameters in real time; Inputting influencing parameters into the electromagnetic radiation model; When the predicted radiation level exceeds the safety threshold, the operating parameter optimization is initiated.

2. The method for minimizing electromagnetic radiation of a transformer according to claim 1, characterized in that: The electromagnetic radiation model is expressed as, in, is the electromagnetic radiation level, V and I are the operating voltage and current of the transformer respectively, freq is the operating frequency, T and H are the ambient temperature and humidity, μ, σ and ε are the magnetic permeability of the core, the electrical conductivity of the winding and the dielectric constant of the insulating medium respectively, and d is the characteristic size vector of the transformer.

3. The method for minimizing electromagnetic radiation of a transformer according to claim 2, characterized in that: The transformer radiation impact parameters include transformer operation parameters and environmental parameters.

4. The method for minimizing electromagnetic radiation of a transformer as claimed in claim 3, characterized in that: The step of inputting the influencing parameters into the electromagnetic radiation model includes inputting the real-time data into the electromagnetic radiation model to predict the electromagnetic radiation level within a preset time in the future.

5. The method for minimizing electromagnetic radiation of a transformer as claimed in claim 4, characterized in that: The electromagnetic radiation level is expressed as, in, is the predicted value of the electromagnetic radiation level at the kth sampling moment in the future, τ represents the length of the prediction period, V(t+k|t), I(t+k|t), T(t+k|t), H(t+k|t) are the predicted values ​​of voltage, current, temperature and humidity at the kth sampling moment in the future based on the information at time t; Prediction results With the safety threshold E max For comparison, if Start optimization of operating parameters.

6. The method for minimizing electromagnetic radiation of a transformer according to claim 5, characterized in that: The operation parameter optimization adopts a quadratic programming algorithm to obtain the optimal voltage and current parameter adjustment curve within the future τ time period; The quadratic programming algorithm is expressed as, s.t.V min (s)≤V(s)≤V max (s) I min (s)≤I(s)≤I max (s) |V(s)-V(s-1)|≤ΔV max |I(s)-I(s-1)|≤ΔI max s∈[t,t+τ] Among them, V(s) and I(s) are the optimized transformer voltage and current curves respectively with respect to the time s. min (s), V max (s), I min (s), I max (s) is the dynamic constraint boundary of voltage and current, ΔV max and ΔI max is the maximum adjustment step size for voltage and current.

7. The method for minimizing electromagnetic radiation of a transformer according to claim 6, characterized in that: The voltage and current adjustment curves obtained by optimizing the operating parameters are discretized into a control instruction sequence and sent to the transformer control system; The control system adjusts the actual operating parameters of the transformer to the optimized target values ​​in real time by adjusting the transformer's tap changer and power regulation device according to the instruction sequence.

8. A system using the transformer electromagnetic radiation minimization method according to any one of claims 1 to 7, characterized in that: include: A model building module (100), a data collection module (200), a parameter input module (300) and a parameter optimization module (400); The model building module (100) is used to establish an electromagnetic radiation model; The data acquisition module (200) is used to collect transformer radiation impact parameters in real time using sensors; The parameter input module (300) is used to input the influencing parameters into the electromagnetic radiation model; The parameter optimization module (400) is used to start operation parameter optimization when the predicted radiation level exceeds a safety threshold.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for minimizing electromagnetic radiation of a transformer according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for minimizing electromagnetic radiation of a transformer according to any one of claims 1 to 7 are implemented.

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