Closing overvoltage and impulse inrush current cooperative control method of combination switch

Abstract

The invention discloses a switch-on overvoltage and impact inrush current cooperative control method of a combination switch, which relates to the technical field of electric energy quality management and electrical equipment protection, and comprises the following steps: collecting cooperative control monitoring data, preprocessing the collected data, calculating an overvoltage multiple and an impact inrush current multiple, and constructing a target function; the weights of the overvoltage and the impact inrush current are calculated, the influence degrees of the overvoltage and the impact inrush current on the cooperative control process are respectively obtained by using the weights of the overvoltage and the impact inrush current, and a cooperative control monitoring model is constructed through a neural network algorithm. According to the method, a data acquisition technology, a neural network algorithm technology and a modern information technology are closely combined, peak voltage and peak current are accurately captured, and then the influence degrees of overvoltage and impact inrush current on the cooperative control process are obtained; and the intelligent degree in the cooperative control process of the closing overvoltage and the impact inrush current of the combination switch is obviously enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of power quality management and electrical equipment protection, and in particular to a method for coordinated control of closing overvoltage and impulse surge current of a composite switch. Background Art

[0002] In modern power systems, compound switches are key components for controlling the switching of reactive power compensation equipment. The overvoltage and surge current problems generated during the closing process are important factors affecting the stable operation of power systems and the safety of electrical equipment. With the rapid development of the economy and the continuous growth of electricity demand, the scale of power systems is becoming increasingly large and the structure is becoming increasingly complex. In order to improve the power factor of the power system and reduce line losses, reactive power compensation equipment is being used more and more widely, and compound switches play a vital role in this process. However, at the moment of closing the compound switch, due to the characteristics of components such as capacitors and inductors in the circuit, overvoltage and surge current are inevitably generated. At present, the commonly used methods for controlling overvoltage and surge current do not fully consider the correlation between voltage and surge current. In practical applications, it is difficult for a single control method to effectively suppress overvoltage and surge current at the same time under complex and changeable working conditions, and even new problems may be caused by the implementation of a control method. Therefore, it is urgent to study an effective method that can coordinately control the closing overvoltage and surge current to improve the stability and reliability of the power system and ensure the safe and reliable operation of electrical equipment.

[0003] Although the existing technology has made great progress in the direction of power quality management and electrical equipment protection, there are still some problems that need to be optimized. In the coordinated control process, there is a conflict of objectives between overvoltage control and impulse surge current control. The generation mechanisms of overvoltage and impulse surge current are interrelated. Changing one factor will often affect the other factor, resulting in poor coordinated control of the closing overvoltage and impulse surge current of the compound switch. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for coordinated control of closing overvoltage and impulse inrush current of a composite switch, comprising the following steps:

[0005] Step 1: Use measurement equipment to collect collaborative control monitoring data to provide basic data support for subsequent analysis of collaborative control priorities of overvoltage and surge current;

[0006] Step 2: Preprocess the collected data, calculate the overvoltage multiple and the impulse surge current multiple, construct the objective function, calculate the weights of the overvoltage and the impulse surge current, process and analyze the collaborative control monitoring data, and quantify the evaluation factors by constructing the objective function to provide a basis for effectively balancing the target conflict between overvoltage and impulse surge current in the collaborative control process;

[0007] Step 3: Using the overvoltage weight, obtain the influence of the overvoltage on the coordinated control process, and quantify the influence of the overvoltage on the coordinated control process;

[0008] Step 4: Using the weight of the impact surge flow, obtain the impact degree of the impact surge flow on the collaborative control process, and quantify the impact degree of the impact surge flow on the collaborative control process;

[0009] Step 5: Construct a collaborative control monitoring model through a neural network algorithm;

[0010] Step 6: Combine the collaborative control monitoring model, analyze the collaborative control monitoring data, evaluate the collaborative control priority of overvoltage and surge current, determine which of overvoltage and surge current needs to be controlled first in the collaborative control process, and improve the overall collaborative control effect;

[0011] Step 7. Take corresponding measures according to the priority of the assessment and take targeted measures to improve the poor coordinated control of overvoltage and impact inrush current when the compound switch is closed.

[0012] A further improvement of the technical solution of the present invention is that in step 1, the process of collecting collaborative control monitoring data using the measuring equipment includes:

[0013] The measuring equipment includes a capacitive charging peak voltage meter, an oscilloscope and a current probe; the collaborative control monitoring data are peak voltage and peak current;

[0014] Through the capacitor charging peak voltmeter, the capacitor charging peak voltmeter has a built-in diode, capacitor and capacitor voltage to drive the meter pointer. Based on the energy storage characteristics of the capacitor, the capacitor is charged by a diode. When the capacitor voltage rises to a stable state, the capacitor voltage drives the meter pointer to deflect. The scale pointed to by the capacitor voltage drives the meter pointer represents the voltage peak.

[0015] A further improvement of the technical solution of the present invention is that in step 1, the process of collecting the peak current includes:

[0016] Turn on the oscilloscope power, wait for the oscilloscope self-test to complete, set the oscilloscope's vertical scale, horizontal time base, trigger mode and trigger level, select the peak measurement option, and use the current probe to collect the peak current.

[0017] A further improvement of the technical solution of the present invention is that in step 2, the process of preprocessing the collected data and calculating the overvoltage multiple and the impulse surge current multiple includes:

[0018] Median filtering is used to remove noise points in the peak voltage and peak current data and fill in the missing values ​​in the peak voltage and peak current;

[0019] The process of calculating the overvoltage multiple and the impulse surge current multiple using the pre-processed peak voltage and peak current includes:

[0020]

[0021] Among them, k is the overvoltage multiple, m is the impulse surge multiple, U peak is the peak voltage, I peak is the peak current, U n and I n They are the rated voltage and rated current respectively.

[0022] A further improvement of the technical solution of the present invention is that in step 2, the process of constructing the objective function and calculating the weights of the overvoltage and the impulse surge current includes:

[0023] Construct objective function F = w 1 k+w 2 m, according to the coordinated control target, the objective function value is set, and the process of calculating the weights of overvoltage and impulse inrush current is as follows:

[0024]

[0025] Among them, w 1 and w 2 are the weights of overvoltage and impulse surge current respectively, F is the objective function value, k is the overvoltage multiple, m is the impulse surge current multiple. In the two-variable linear equation system, F, k and m are known quantities. Substitute F, k and m into the two-variable linear equation system, solve the two-variable linear equation system, and obtain the weights of overvoltage and impulse surge current.

[0026] A further improvement of the technical solution of the present invention is that in step 3, the process of obtaining the influence of the overvoltage on the coordinated control process by using the overvoltage weight includes:

[0027] The overvoltage weight w 1 The process of converting it into percentage form to measure the influence of overvoltage on the coordinated control process is:

[0028] U d =w 1 ×100%

[0029] Among them, U d is the influence of overvoltage on the coordinated control process, w 1 is the overvoltage weight.

[0030] A further improvement of the technical solution of the present invention is that in step 4, the process of obtaining the influence of the impulse surge on the coordinated control process by using the weight of the impulse surge includes:

[0031] The weight of the surge current w 2 The process of converting it into percentage to measure the impact of the surge current on the coordinated control process is:

[0032] I d =w 2 ×100%

[0033] Among them, I d is the impact degree of the surge flow on the coordinated control process, w 2 is the weight of the impact surge.

[0034] A further improvement of the technical solution of the present invention is that in step 5, the process of constructing a collaborative control monitoring model by a neural network algorithm includes:

[0035] The overvoltage multiple, impulse surge current multiple, the influence of overvoltage on coordinated control and the influence of impulse surge current on coordinated control are taken as data sets and divided into training set and test set in a ratio of 7:3.

[0036] MLP is selected as the neural network structure. The input layer includes two neurons, which receive the overvoltage multiple and the impulse inrush current multiple. The hidden layer is equipped with Sigmoid function and MSE function. The output layer includes two neurons, which output the influence degree of overvoltage on cooperative control and the influence degree of impulse inrush current on cooperative control.

[0037] The neural network model is trained using the training set data, the learning rate is set to 0.01, and the number of iterations is set to 1000. Through iterative training, the nonlinear relationship between the overvoltage multiple and the degree of influence of the overvoltage on the coordinated control and the nonlinear relationship between the impulse surge current multiple and the degree of influence of the impulse surge current on the coordinated control are learned. The output value of the output layer is mapped to the [0,1] interval using the Sigmoid function to obtain the neural network model.

[0038] The test set data is input into the trained neural network model, and the MSE function is used to evaluate the error between the output value of the neural network model and the actual value. The parameters of the neural network model are adjusted according to the evaluation results, the performance of the neural network model is optimized, and the collaborative control monitoring model is obtained.

[0039] A further improvement of the technical solution of the present invention is that in step 6, the process of evaluating the priority of coordinated control of overvoltage and impulse surge current includes:

[0040] Combined with the collaborative control monitoring model, the collaborative control monitoring data is analyzed. When the impact of overvoltage on collaborative control is greater than that of impulse surge current, the overvoltage is given high priority and the impulse surge current is given low priority; when the impact of overvoltage on collaborative control is equal to that of impulse surge current, the overvoltage and impulse surge current have the same priority; when the impact of overvoltage on collaborative control is less than that of impulse surge current, the overvoltage is given low priority and the impulse surge current is given high priority.

[0041] A further improvement of the technical solution of the present invention is that in step seven, the process of taking corresponding measures to deal with the problem according to the priority of the evaluation includes:

[0042] When overvoltage is a high priority and surge current is a low priority, adjust the closing time of the composite switch to near the overvoltage zero point, increase the resistance of the pre-charge resistor, reduce the inductance of the reactor, and monitor the change of the surge current multiple in real time;

[0043] When overvoltage and inrush current have the same priority, the closing time of the composite switch, the pre-charging resistance value and the inductance value of the reactor are adjusted through simulation, and the simulation adjustment scheme is applied in the actual coordinated control process to control overvoltage and inrush current at the same time;

[0044] When overvoltage is of low priority and inrush current is of high priority, shorten the closing time of the composite switch, reduce the resistance of the pre-charging resistor, increase the inductance of the reactor, and monitor the changes in the overvoltage multiple in real time.

[0045] The beneficial effects of the present invention are as follows: a method for coordinated control of closing overvoltage and impulse surge current of a composite switch in the present invention, compared with a traditional method for coordinated control of closing overvoltage and impulse surge current of a composite switch, the data acquisition technology, neural network algorithm technology and modern information technology in the method of the present invention are closely combined, the peak voltage and peak current are accurately captured, the overvoltage multiple, the impulse surge current multiple, the overvoltage weight and the impulse surge current weight are obtained by calculation, and then the influence of the overvoltage and the impulse surge current on the coordinated control process is obtained, so as to achieve real-time and comprehensive monitoring of the closing overvoltage and the impulse surge current, and to construct a coordinated control monitoring model by using the neural network algorithm, evaluate the coordinated control priority of the overvoltage and the impulse surge current, and then take corresponding control measures according to the coordinated control priority of the overvoltage and the impulse surge current, so as to solve the problem that there is a target conflict between the overvoltage control and the impulse surge current control and the coordinated control effect is not good, so as to ensure that the method in the present invention can refine the dynamic monitoring standard in the closing process of the composite switch within a more accurate range, so that the monitored data becomes a more accurate indicator under the same conditions, and the development and application of this method significantly enhance the intelligence level in the coordinated control process of the closing overvoltage and the impulse surge current of the composite switch. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0047] Figure 1 The present invention is a flow chart of a method for coordinated control of closing overvoltage and impulse inrush current of a composite switch. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] like Figure 1 As shown, the present invention provides a method for coordinated control of closing overvoltage and impulse inrush current of a composite switch, which comprises the following steps:

[0050] Step 1: Use measurement equipment to collect collaborative control monitoring data to provide basic data support for subsequent analysis of collaborative control priorities of overvoltage and surge current;

[0051] Step 2: Preprocess the collected data, calculate the overvoltage multiple and the impulse surge current multiple, construct the objective function, calculate the weights of the overvoltage and the impulse surge current, process and analyze the collaborative control monitoring data, and quantify the evaluation factors by constructing the objective function to provide a basis for effectively balancing the target conflict between overvoltage and impulse surge current in the collaborative control process;

[0052] Step 3: Using the overvoltage weight, obtain the influence of the overvoltage on the coordinated control process, and quantify the influence of the overvoltage on the coordinated control process;

[0053] Step 4: Using the weight of the impact surge flow, obtain the impact degree of the impact surge flow on the collaborative control process, and quantify the impact degree of the impact surge flow on the collaborative control process;

[0054] Step 5: Construct a collaborative control monitoring model through a neural network algorithm;

[0055] Step 6: Combine the collaborative control monitoring model, analyze the collaborative control monitoring data, evaluate the collaborative control priority of overvoltage and surge current, determine which of overvoltage and surge current needs to be controlled first in the collaborative control process, and improve the overall collaborative control effect;

[0056] Step 7. Take corresponding measures according to the priority of the assessment and take targeted measures to improve the poor coordinated control of overvoltage and impact inrush current when the compound switch is closed.

[0057] In step 1, the process of collecting collaborative control monitoring data using measurement equipment includes:

[0058] Among them, the measuring equipment includes a capacitor charging peak voltage meter, an oscilloscope and a current probe; the coordinated control monitoring data are peak voltage and peak current;

[0059] Through the capacitor charging peak voltmeter, the capacitor charging peak voltmeter has a built-in diode, capacitor and capacitor voltage to drive the meter pointer. Based on the energy storage characteristics of the capacitor, the capacitor is charged by a diode. When the capacitor voltage rises to a stable state, the capacitor voltage drives the meter pointer to deflect. The scale pointed to by the capacitor voltage drives the meter pointer represents the voltage peak.

[0060] In step 1, the process of collecting the peak current includes:

[0061] Turn on the oscilloscope power, wait for the oscilloscope self-test to complete, set the oscilloscope's vertical scale, horizontal time base, trigger mode and trigger level, select the peak measurement option, and use the current probe to collect the peak current.

[0062] In step 2, the collected data is preprocessed, and the process of calculating the overvoltage multiple and the impulse surge current multiple includes:

[0063] Median filtering is used to remove noise points in the peak voltage and peak current data and fill in the missing values ​​in the peak voltage and peak current;

[0064] The process of calculating the overvoltage multiple and the impulse surge current multiple using the pre-processed peak voltage and peak current includes:

[0065]

[0066] Among them, k is the overvoltage multiple, m is the impulse surge multiple, U peak is the peak voltage, I peak is the peak current, U n and I n They are rated voltage and rated current respectively.

[0067] In step 2, the objective function is constructed and the process of calculating the weights of overvoltage and surge current includes:

[0068] Construct the objective function F = w 1 k+w 2 m, according to the coordinated control target, the objective function value is set, and the process of calculating the weights of overvoltage and impulse inrush current is as follows:

[0069]

[0070] Among them, w 1 and w 2 are the weights of overvoltage and impulse surge current respectively, F is the objective function value, k is the overvoltage multiple, m is the impulse surge current multiple. In the two-variable linear equation system, F, k and m are known quantities. Substitute F, k and m into the two-variable linear equation system, solve the two-variable linear equation system, and obtain the weights of overvoltage and impulse surge current.

[0071] In step 3, the process of obtaining the influence of the overvoltage on the coordinated control process by using the overvoltage weight includes:

[0072] The overvoltage weight w 1 The process of converting it into percentage form to measure the influence of overvoltage on the coordinated control process is:

[0073] U d =w 1 ×100%

[0074] Among them, U d is the influence of overvoltage on the coordinated control process, w 1 is the overvoltage weight.

[0075] In step 4, the process of using the weight of the impulse flow to obtain the influence of the impulse flow on the coordinated control process includes:

[0076] The weight of the surge current w 2 The process of converting it into percentage to measure the impact of the surge current on the coordinated control process is:

[0077] I d =w 2 ×100%

[0078] Among them, I d is the impact degree of the surge flow on the coordinated control process, w 2 is the weight of the impact surge.

[0079] In step 5, the process of building a collaborative control monitoring model through a neural network algorithm includes:

[0080] The overvoltage multiple, impulse surge current multiple, the influence of overvoltage on coordinated control and the influence of impulse surge current on coordinated control are taken as data sets and divided into training set and test set in a ratio of 7:3.

[0081] MLP is selected as the neural network structure. The input layer includes two neurons, which receive the overvoltage multiple and the impulse inrush current multiple. The hidden layer is equipped with Sigmoid function and MSE function. The output layer includes two neurons, which output the influence degree of overvoltage on cooperative control and the influence degree of impulse inrush current on cooperative control.

[0082] The neural network model is trained using the training set data, the learning rate is set to 0.01, and the number of iterations is set to 1000. Through iterative training, the nonlinear relationship between the overvoltage multiple and the degree of influence of the overvoltage on the coordinated control and the nonlinear relationship between the impulse surge current multiple and the degree of influence of the impulse surge current on the coordinated control are learned. The output value of the output layer is mapped to the [0,1] interval using the Sigmoid function to obtain the neural network model.

[0083] The test set data is input into the trained neural network model, and the MSE function is used to evaluate the error between the output value of the neural network model and the actual value. The parameters of the neural network model are adjusted according to the evaluation results, the performance of the neural network model is optimized, and the collaborative control monitoring model is obtained.

[0084] In step 6, the process of evaluating the priority of coordinated control of overvoltage and surge current includes:

[0085] Combined with the collaborative control monitoring model, the collaborative control monitoring data is analyzed. When the impact of overvoltage on collaborative control is greater than that of impulse surge current, the overvoltage is given high priority and the impulse surge current is given low priority; when the impact of overvoltage on collaborative control is equal to that of impulse surge current, the overvoltage and impulse surge current have the same priority; when the impact of overvoltage on collaborative control is less than that of impulse surge current, the overvoltage is given low priority and the impulse surge current is given high priority.

[0086] In step 7, the process of taking appropriate measures based on the assessment priority includes:

[0087] When overvoltage is a high priority and surge current is a low priority, adjust the closing time of the composite switch to near the overvoltage zero point, increase the resistance of the pre-charge resistor, reduce the inductance of the reactor, and monitor the change of the surge current multiple in real time;

[0088] When overvoltage and inrush current have the same priority, the closing time of the composite switch, the pre-charging resistance value and the inductance value of the reactor are adjusted through simulation, and the simulation adjustment scheme is applied in the actual coordinated control process to control overvoltage and inrush current at the same time;

[0089] When overvoltage is of low priority and inrush current is of high priority, shorten the closing time of the composite switch, reduce the resistance of the pre-charging resistor, increase the inductance of the reactor, and monitor the changes in the overvoltage multiple in real time.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for coordinated control of closing overvoltage and surge current of a composite switch, characterized in that: The following steps are involved: Step 1: Collect collaborative control monitoring data using measurement equipment; Step 2: pre-process the collected data, calculate the overvoltage multiple and the impulse surge current multiple, construct the objective function, and calculate the weights of the overvoltage and the impulse surge current; Step 3: Using the overvoltage weight, obtain the influence of the overvoltage on the coordinated control process; Step 4: Using the weight of the impact surge flow, obtain the impact degree of the impact surge flow on the collaborative control process; Step 5: Construct a collaborative control monitoring model through a neural network algorithm; Step 6: Combine the coordinated control monitoring model, analyze the coordinated control monitoring data, and evaluate the coordinated control priority of overvoltage and surge current; Step 7: Take appropriate measures based on the assessment priority.

2. The method for coordinated control of closing overvoltage and impulse inrush current of a composite switch according to claim 1, characterized in that: In step 1, the process of collecting collaborative control monitoring data using measurement equipment includes: The measuring equipment includes a capacitive charging peak voltage meter, an oscilloscope and a current probe; the collaborative control monitoring data are peak voltage and peak current; Through the capacitor charging peak voltmeter, the capacitor charging peak voltmeter has a built-in diode, capacitor and capacitor voltage to drive the meter pointer. Based on the energy storage characteristics of the capacitor, the capacitor is charged by a diode. When the capacitor voltage rises to a stable state, the capacitor voltage drives the meter pointer to deflect. The scale pointed to by the capacitor voltage drives the meter pointer represents the voltage peak.

3. The method for coordinated control of closing overvoltage and impulse inrush current of a composite switch according to claim 2, characterized in that: In step 1, the process of collecting the peak current includes: Turn on the oscilloscope power, wait for the oscilloscope self-test to complete, set the oscilloscope's vertical scale, horizontal time base, trigger mode and trigger level, select the peak measurement option, and use the current probe to collect the peak current.

4. The method for coordinated control of closing overvoltage and impulse inrush current of a composite switch according to claim 3, characterized in that: In the step 2, the process of preprocessing the collected data and calculating the overvoltage multiple and the impulse surge current multiple includes: Median filtering is used to remove noise points in the peak voltage and peak current data and fill in the missing values ​​in the peak voltage and peak current; The process of calculating the overvoltage multiple and the impulse surge current multiple using the pre-processed peak voltage and peak current includes: Among them, k is the overvoltage multiple, m is the impulse surge multiple, U peak is the peak voltage, I peak is the peak current, U n and I n They are rated voltage and rated current respectively.

5. The method for coordinated control of closing overvoltage and surge current of a composite switch according to claim 4, characterized in that: In the step 2, the process of constructing the objective function and calculating the weights of the overvoltage and the impulse surge current includes: The objective function F = w1k + w2m is constructed, and the objective function value is set according to the coordinated control target. The process of calculating the weights of overvoltage and impulse inrush current is as follows: Among them, w1 and w2 are the weights of overvoltage and impulse surge current respectively, F is the objective function value, k is the overvoltage multiple, and m is the impulse surge current multiple. In the two-variable linear equation system, F, k and m are known quantities. Substitute F, k and m into the two-variable linear equation system, solve the two-variable linear equation system, and obtain the weights of overvoltage and impulse surge current.

6. The method for coordinated control of closing overvoltage and surge current of a composite switch according to claim 5, characterized in that: In step 3, the process of obtaining the influence of the overvoltage on the coordinated control process by using the overvoltage weight includes: The process of converting the overvoltage weight w1 into a percentage to measure the impact of overvoltage on the coordinated control process is: IN d =w1×100% Among them, U d is the influence of overvoltage on the cooperative control process, and w1 is the weight of overvoltage.

7. The method for coordinated control of closing overvoltage and surge current of a composite switch according to claim 6, characterized in that: In step 4, the process of obtaining the influence of the impulse surge on the coordinated control process by using the weight of the impulse surge includes: The process of converting the weight w2 of the impact surge into a percentage form and measuring the impact of the impact surge on the collaborative control process is: I d =w2×100% Among them, I d is the influence of the surge flow on the cooperative control process, and w2 is the weight of the surge flow.

8. The method for coordinated control of closing overvoltage and impulse inrush current of a composite switch according to claim 7, characterized in that: In step 5, the process of constructing a collaborative control monitoring model through a neural network algorithm includes: The overvoltage multiple, impulse surge current multiple, the influence of overvoltage on coordinated control and the influence of impulse surge current on coordinated control are taken as data sets and divided into training set and test set in a ratio of 7:

3. MLP is selected as the neural network structure. The input layer includes two neurons, which receive the overvoltage multiple and the impulse inrush current multiple. The hidden layer is equipped with Sigmoid function and MSE function. The output layer includes two neurons, which output the influence degree of overvoltage on cooperative control and the influence degree of impulse inrush current on cooperative control. The neural network model is trained using the training set data, the learning rate is set to 0.01, and the number of iterations is set to 1000. Through iterative training, the nonlinear relationship between the overvoltage multiple and the degree of influence of the overvoltage on the coordinated control and the nonlinear relationship between the impulse surge current multiple and the degree of influence of the impulse surge current on the coordinated control are learned. The output value of the output layer is mapped to the [0,1] interval using the Sigmoid function to obtain the neural network model. The test set data is input into the trained neural network model, and the MSE function is used to evaluate the error between the output value of the neural network model and the actual value. The parameters of the neural network model are adjusted according to the evaluation results, the performance of the neural network model is optimized, and the collaborative control monitoring model is obtained.

9. The method for coordinated control of closing overvoltage and surge current of a composite switch according to claim 8, characterized in that: In step 6, the process of evaluating the priority of coordinated control of overvoltage and surge current includes: Combined with the collaborative control monitoring model, the collaborative control monitoring data is analyzed. When the impact of overvoltage on collaborative control is greater than that of impulse surge current, the overvoltage is given high priority and the impulse surge current is given low priority; when the impact of overvoltage on collaborative control is equal to that of impulse surge current, the overvoltage and impulse surge current have the same priority; when the impact of overvoltage on collaborative control is less than that of impulse surge current, the overvoltage is given low priority and the impulse surge current is given high priority.

10. The method for coordinated control of closing overvoltage and surge current of a composite switch according to claim 9, characterized in that: In step 7, the process of taking corresponding measures according to the priority of the assessment includes: When overvoltage is a high priority and surge current is a low priority, adjust the closing time of the composite switch to near the overvoltage zero point, increase the resistance of the pre-charge resistor, reduce the inductance of the reactor, and monitor the change of the surge current multiple in real time; When overvoltage and inrush current have the same priority, the closing time of the composite switch, the pre-charging resistance value and the inductance value of the reactor are adjusted through simulation, and the simulation adjustment scheme is applied in the actual coordinated control process to control overvoltage and inrush current at the same time; When overvoltage is of low priority and inrush current is of high priority, shorten the closing time of the composite switch, reduce the resistance of the pre-charging resistor, increase the inductance of the reactor, and monitor the changes in the overvoltage multiple in real time.

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