Distribution Switch Control Method, Device, Terminal and Medium for New Energy Grid-Connected System

Abstract

The present invention provides a control method, device, terminal and medium for a distribution switch of a new energy grid-connected system, belonging to the technical field of distribution switch control and management. The method includes: identifying the operating condition of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system; identifying the health status of the distribution switch in the new energy grid-connected system based on the status parameters of the distribution switch in the new energy grid-connected system; determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating condition and the health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy; and controlling the distribution switch in the new energy grid-connected system based on the target control strategy. The present invention can effectively extend the service life of the distribution switch and reduce the maintenance cost.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution switch control, and particularly to a method, device, terminal and medium for controlling a distribution switch in a new energy grid-connected system. Background Art

[0002] With the growth of the global demand for clean energy and the improvement of environmental awareness, the large-scale access of new energy sources such as wind energy and solar energy has become an important trend in the development of modern power systems. However, this transformation has also brought new challenges to traditional power grids. Specifically, new energy generation has significant characteristics of intermittency and uncertainty, which has led to increased fluctuations in power supply and put forward higher requirements for the stability, security and economy of the power grid.

[0003] There are a large number of tie switches and sectionalizing switches in the distribution network. By changing the states of these two types of switches, the distribution network topology can be adjusted to improve reliability, reduce line losses, balance loads and improve the quality of the supply voltage. In the context of the large-scale access of new energy to the power grid, as one of the key components of the power grid, the working environment of the distribution switch has become more severe. Frequent operations, complex load changes and unstable power quality may all lead to premature aging or failure of the distribution switch. However, current control strategies for distribution switches all aim to improve the stability, reliability and efficiency of the power system, while ignoring the impact of different control strategies on the lifespan of the distribution switch itself in the context of the large-scale access of new energy to the power grid, resulting in possible increases in the failure rate and maintenance cost of the distribution switch. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, terminal and medium for controlling a distribution switch in a new energy grid-connected system to solve the problem of the reduction in the lifespan of the distribution switch caused by control strategies in the context of the large-scale access of new energy to the power grid.

[0005] In a first aspect, embodiments of the present invention provide a method for controlling a distribution switch in a new energy grid-connected system, including:

[0006] Identifying the operating conditions of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system;

[0007] Identifying the health status of the distribution switch in the new energy grid-connected system based on the state parameters of the distribution switch in the new energy grid-connected system;

[0008] Determining the target control strategy for the distribution switch in the new energy grid-connected system based on the operating conditions and health status, and the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy;

[0009] Controlling the distribution switch in the new energy grid-connected system based on the target control strategy.

[0010] In a possible implementation, before determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating conditions and health status, and the influence relationship of each operating condition and each control strategy on the health status of the distribution switch, it further includes:

[0011] Based on the topological structure of the new energy grid-connected system, construct a simulation model of the new energy grid-connected system;

[0012] Control the simulation model to work in the first operating condition, and use the first control strategy to control the distribution switch in the simulation model to obtain the corresponding simulation state parameters under the cooperation of the first operating condition and the first control strategy; wherein, the first operating condition is any operating condition, the first control strategy is any control strategy, and the simulation state parameters include the operation frequency, load level, and power quality of each distribution switch in the new energy grid-connected system;

[0013] Based on the corresponding simulation state parameters under the cooperation of each operating condition and each control strategy, determine the influence relationship of each operating condition and each control strategy on the health status of the distribution switch.

[0014] In a possible implementation, based on the corresponding simulation parameters under the cooperation of each operating condition and each control strategy, determining the influence relationship of each operating condition and each control strategy on the health status of the distribution switch includes:

[0015] Based on the linear regression model, determine the first aging rate corresponding to the first operation frequency; wherein, the first operation frequency is the operation frequency corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy, the first distribution switch is any distribution switch, the second operating condition is any operating condition, and the second control strategy is any control strategy;

[0016] Based on the thermodynamic model, determine the second aging rate corresponding to the first load level; wherein, the first load level is the load level corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0017] Based on the support vector machine model, determine the third aging rate corresponding to the first power quality; wherein, the first power quality is the power quality corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0018] Combine the first aging rate, the second aging rate, and the third aging rate to obtain the comprehensive aging rate, and use it as the influence relationship of the second operating condition and the second control strategy on the health status of each distribution switch.

[0019] In a possible implementation, the state parameters include temperature, current, and voltage; based on the state parameters of the distribution switches in the new energy grid-connected system, identifying the health status of the distribution switches in the new energy grid-connected system includes:

[0020] For each distribution switch, input the temperature, current, voltage, and vibration signal of the distribution switch into a trained neural network model to determine the health status score of the distribution switch;

[0021] Based on the health status score and betweenness centrality of each distribution switch, calculate the overall health status of the distribution switches in the new energy grid-connected system.

[0022] In a possible implementation, based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, determining the target control strategy of the distribution switch in the new energy grid-connected system includes:

[0023] For each control strategy, based on the health status, as well as the influence relationship between the operating condition and the health status of the distribution switch under the cooperation of the control strategy, determine the predicted health status of the distribution switch in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy;

[0024] Take the control strategy with the optimal predicted health status as the target control strategy of the new energy grid-connected system.

[0025] In a possible implementation, for each control strategy, based on the health status, as well as the influence relationship between the operating condition and the health status of the distribution switch under the cooperation of the control strategy, determine the predicted health status of the distribution switch in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy, including:

[0026] For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch, as well as the influence relationship between the operating condition and the health status of the distribution switch under the cooperation of the third control strategy, determine the predicted health status of the distribution switch after controlling the new energy grid-connected system based on the third control strategy; where the third control strategy is any control strategy;

[0027] Based on the predicted health status and betweenness centrality of each distribution switch, calculate the predicted health status of the distribution switches in the new energy grid-connected system.

[0028] In a possible implementation, the operating parameters include new energy generation parameters, environmental parameters, and load parameters; based on the operating parameters of the new energy grid-connected system, identifying the operating conditions of the new energy grid-connected system includes:

[0029] Normalize the new energy generation parameters, environmental parameters, and load parameters of the new energy grid-connected system to obtain the normalized new energy generation parameters, normalized environmental parameters, and normalized load parameters of the new energy grid-connected system, and use them as the normalized operating parameters of the new energy grid-connected system;

[0030] Calculate the cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition, and use the operating condition with the maximum cosine similarity as the operating condition of the new energy grid-connected system.

[0031] In a second aspect, an embodiment of the present invention provides a distribution switch control device for a new energy grid-connected system, including:

[0032] A first identification module for identifying the operating condition of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system;

[0033] A second identification module for identifying the health status of the distribution switch in the new energy grid-connected system based on the status parameters of the distribution switch in the new energy grid-connected system;

[0034] A strategy determination module for determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating condition and health status, and the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy;

[0035] A switch control module for controlling the distribution switch in the new energy grid-connected system based on the target control strategy.

[0036] In a third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method described in the first aspect or any possible implementation manner of the first aspect are implemented.

[0037] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation manner of the first aspect are implemented.

[0038] An embodiment of the present invention provides a method, device, terminal, and medium for controlling a distribution switch in a new energy grid-connected system. By analyzing operating parameters, the operating conditions of the system are identified, and the health status of the distribution switch is identified through the status parameters of the distribution switch. Then, in combination with the influence relationship between each operating condition and the health status of the distribution switch under each control strategy determined in advance, the control strategy that is most beneficial to the health status of the distribution switch can be selected based on the current health status of the distribution switch, effectively extending the service life of the distribution switch and reducing maintenance costs while ensuring the stability and reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0040] Figure 1 is a flowchart of the implementation of the method for controlling a distribution switch in a new energy grid-connected system provided by an embodiment of the present invention;

[0041] Figure 2 is a schematic structural diagram of the device for controlling a distribution switch in a new energy grid-connected system provided by an embodiment of the present invention;

[0042] Figure 3 is a schematic diagram of the terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments in conjunction with the drawings.

[0045] See Figure 1 , which shows a flowchart of the implementation of the method for controlling a distribution switch in a new energy grid-connected system provided by an embodiment of the present invention, and is described in detail as follows:

[0046] Step 101: Based on the operating parameters of the new energy grid-connected system, identify the operating conditions of the new energy grid-connected system.

[0047] In this embodiment, a new energy grid-connected system refers to a system that connects the electric energy generated by renewable energy power generation equipment such as solar energy and wind energy to the existing power grid (usually the distribution grid) through specific technical interfaces, enabling clean energy to be effectively integrated into the existing power supply system. This connection method requires the distribution grid to have a certain degree of flexibility and intelligence to better accommodate and manage these intermittent energy inputs.

[0048] Distribution switches are key devices used to control and protect each node in the distribution grid. They can cut off or restore power supply when necessary, prevent the spread of faults, and help maintain the quality and reliability of power supply. In the scenario of new energy grid connection, the role of distribution switches is particularly important because they not only have to handle the changes in traditional loads but also need to adapt to the intermittent characteristics of new energy output, such as the volatility of wind power generation and the daily variation law of photovoltaic power generation.

[0049] In view of the problem that the lifespan of distribution switches may be affected under the background of large-scale access of new energy to the grid, in this embodiment, the operating conditions of the new energy grid-connected system are analyzed, and thus the impact on the lifespan of distribution switches is specifically analyzed to achieve the control of distribution switches and extend the service life of distribution switches and reduce the maintenance cost.

[0050] Specifically, the lifespan of distribution switches is mainly affected by the operating frequency, load level, and power quality during operation, and these parameters are related to the new energy power generation, environmental parameters, and user-side load of the new energy grid-connected system. Therefore, the operating conditions of the new energy grid-connected system can be determined based on the new energy power generation, environmental parameters, and user-side load, and the impacts on the lifespan of distribution switches can be classified.

[0051] Step 102: Based on the state parameters of the distribution switches in the new energy grid-connected system, identify the health status of the distribution switches in the new energy grid-connected system.

[0052] In this embodiment, it is also necessary to consider the current health status of the distribution switches as the basis for selecting the control strategy of the distribution switches, and quantitatively evaluate and compare the lifespan impact effects of each control strategy.

[0053] Specifically, the actual working state of the distribution switches can be monitored by collecting the state parameters (such as temperature, current, voltage, etc.) of the distribution switches in real time or regularly, and combined with a pre-trained model (such as a neural network model), the current health status of the distribution switches can be accurately evaluated.

[0054] Understanding the health status of the distribution switches helps to formulate more reasonable and effective control strategies. For example, in some cases, it may be necessary to adjust the operating frequency to reduce the stress on specific switches, extend their service life, and reduce the power outage risk caused by switch failures.

[0055] Step 103: Determine the target control strategy for the distribution switch in the new - energy grid - connected system based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy.

[0056] In this embodiment, the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy can be analyzed in advance. Then, based on the current operating conditions and health status, the effects after adopting each control strategy can be predicted, so as to select the control strategy that is most beneficial to the life of the distribution switch.

[0057] Step 104: Control the distribution switch in the new - energy grid - connected system based on the target control strategy.

[0058] In this embodiment, common distribution - switch control strategies include time - based control strategies, load - prediction - based control strategies, state - monitoring - based control strategies, adaptive control strategies combined with two - way communication, priority control strategies in emergency situations, intelligent scheduling algorithms, micro - grid and island - operation - mode switching control, distributed - energy - resource integration control, automatic reclosing control, demand - response management, etc. Each control strategy has its applicable scenarios and limitations. In actual applications, it is often necessary to select a suitable solution according to specific situations or combine multiple strategies to achieve the best effect. With the development of technology, more and more intelligent means are introduced into the field of distribution - switch control, providing the possibility for building a more flexible and efficient modern power grid.

[0059] In the embodiment of the present invention, the operating conditions of the system are identified by analyzing the operating parameters, the health status of the distribution switch is identified by the state parameters of the distribution switch, and then combined with the pre - determined influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, it is possible to select the control strategy that is most beneficial to the health status of the distribution switch based on the current health status of the distribution switch. While ensuring the stability and reliability of the power system, the service life of the distribution switch is effectively extended and the maintenance cost is reduced.

[0060] In a possible implementation manner, before determining the target control strategy for the distribution switch in the new - energy grid - connected system based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, it further includes:

[0061] Build a simulation model of the new - energy grid - connected system based on the topological structure of the new - energy grid - connected system;

[0062] Control the simulation model to operate in the first operating condition, and use the first control strategy to control the distribution switches in the simulation model to obtain the corresponding simulation state parameters under the cooperation of the first operating condition and the first control strategy; wherein, the first operating condition is any operating condition, the first control strategy is any control strategy, and the simulation state parameters include the operation frequency, load level, and power quality of each distribution switch in the new energy grid-connected system;

[0063] Based on the corresponding simulation state parameters under the cooperation of each operating condition and each control strategy, determine the influence relationship of each operating condition and each control strategy on the health status of the distribution switches.

[0064] In this embodiment, the simulation model can be used to predict the influence of different operating conditions and control strategies on the distribution switches, and the optimal control scheme can be obtained without actual operation.

[0065] For example, for a new energy grid-connected system with wind power and photovoltaic access, a simulation model simulating a hybrid system of wind power generation and solar power generation can be established. First, set different operating conditions (such as strong wind, weak light) and control strategies (such as fast switching, slow switching), then observe the performance of the distribution switches under the cooperation of various operating conditions and control strategies (such as operation frequency, load level, and power quality), and then combine the influence relationship of the operation frequency, load level, and power quality on the life of the distribution switches to determine the influence relationship of each operating condition and each control strategy on the health status of the distribution switches.

[0066] In a possible implementation manner, based on the corresponding simulation parameters under the cooperation of each operating condition and each control strategy, determining the influence relationship of each operating condition and each control strategy on the health status of the distribution switches includes:

[0067] Based on the linear regression model, determine the first aging rate corresponding to the first operation frequency; wherein, the first operation frequency is the operation frequency corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy, the first distribution switch is any distribution switch, the second operating condition is any operating condition, and the second control strategy is any control strategy;

[0068] Based on the thermodynamic model, determine the second aging rate corresponding to the first load level; wherein, the first load level is the load level corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0069] Based on the support vector machine model, determine the third aging rate corresponding to the first power quality; wherein, the first power quality is the power quality corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0070] Combine the first aging rate, the second aging rate, and the third aging rate to obtain a comprehensive aging rate, which serves as the relationship between the second operating condition and the impact on the health status of each distribution switch under the second control strategy.

[0071] In this embodiment, linear regression is a statistical method used to establish a linear relationship between two variables. The relationship model between the operating frequency of the distribution switch and the aging rate can be constructed through historical data or experimental data to quantify the impact of frequent operations on the lifespan of the distribution switch and provide a basis for optimizing the control strategy.

[0072] The thermodynamic model takes into account the influence of physical quantities such as temperature and current on material properties. By modeling the temperature rise of the distribution switch under different load conditions, the impact of the load level on the equipment aging rate can be evaluated.

[0073] Support Vector Machine (SVM) is a supervised learning algorithm suitable for classification and regression tasks. By processing the dataset of the impact of power quality (such as voltage fluctuations, harmonic content, etc.) on the health status of the distribution switch using SVM, a model can be established to predict the aging rate, which can accurately capture the impact of complex non-linear power quality problems on the equipment lifespan and help formulate a more detailed maintenance plan.

[0074] Finally, weighted summation or multiplication can be performed to combine the aging rates caused by the above three factors into a comprehensive index, which can comprehensively evaluate the change in the lifespan of the distribution switch, enabling decision-makers to take corresponding measures based on the overall aging situation.

[0075] Taking a wind power station as an example, the specific steps to determine the comprehensive aging rate of the distribution switch can include:

[0076] Step 1: Collect the operating frequency data of the distribution switch and the corresponding maintenance records in the past year, and use these data to train a linear regression model. For example, in a specific time period, if the distribution switch operates 5 times per hour on average, its annual aging rate is 0.8% (assumed value). This is the first aging rate.

[0077] Step 2: Use the thermodynamic model to simulate the working temperature change of the distribution switch under different load conditions. For example, when the load reaches 90% of the rated value, it is expected to cause an additional annual aging rate of 0.5% (assumed value), which is the second aging rate.

[0078] Step 3: Collect and analyze the power quality data, including parameters such as voltage fluctuations and total harmonic distortion rate. Use the support vector machine model to process these data and obtain the aging rate under specific power quality conditions, assumed to be 0.7% per year (assumed value), which is the third aging rate.

[0079] Step 4: Finally, combining the above three aging rates, set the weights to 0.4, 0.3, and 0.3 respectively (the specific values need to be adjusted according to the actual situation), and calculate the comprehensive aging rate:

[0080] Comprehensive aging rate = 0.4×0.8% + 0.3×0.5% + 0.3×0.7% = 0.68%

[0081] In this way, the aging condition of the distribution switch under the given operating conditions and control strategies can be quantitatively evaluated, and then the control strategy can be optimized to reduce unnecessary losses, extend the service life of the equipment, and reduce the maintenance cost. In addition, preventive maintenance activities can be planned in advance according to the change trend of the comprehensive aging rate.

[0082] In a possible implementation, the state parameters include temperature, current, and voltage; based on the state parameters of the distribution switch in the new energy grid-connected system, identify the health condition of the distribution switch in the new energy grid-connected system, including:

[0083] For each distribution switch, input the temperature, current, voltage, and vibration signals of the distribution switch into the trained neural network model to determine the health condition score of the distribution switch;

[0084] Based on the health condition score and betweenness centrality of each distribution switch, calculate the overall health condition of the distribution switch in the new energy grid-connected system.

[0085] In this embodiment, betweenness centrality is used in network theory to measure the importance of nodes and can also be used to represent the critical degree of the distribution switch in the entire system.

[0086] To evaluate the health condition of the distribution switch using the neural network model, first, a large amount of data on the distribution switch under different working conditions (including temperature, current, voltage, vibration, etc.) needs to be collected, and the corresponding health condition scores are marked as the training set. Then, use this data to train a neural network model so that it can predict the health condition score of the distribution switch according to the input parameters. This method can provide more accurate health assessment results than traditional threshold-based methods because it considers the complex relationships between multiple influencing factors and can adapt to new working environments or equipment characteristic changes by continuously updating the training data.

[0087] Betweenness centrality is a graph theory concept used to measure the importance of nodes in a network. In this embodiment, it reflects the criticality of distribution switches in the entire power supply network. By combining the health status score of an individual distribution switch with its betweenness centrality, an overall health status score for the entire system can be obtained. Specifically, for those distribution switches with relatively high betweenness centrality, even if their health status scores are slightly lower, they will have a greater impact on the overall health of the system. Through betweenness centrality, it helps to identify those distribution switches that, although currently appearing healthy, require special attention due to their critical role in the network.

[0088] Taking a small smart grid system containing several distributed new energy generation units as an example, the new energy generation units of this system include wind turbines and solar panels. The specific steps to determine the overall health status of the distribution switches in this system are as follows:

[0089] Step 1: Collect data on the temperature, current, voltage, and vibration signals of each distribution switch during normal operation from historical records. At the same time, record whether these distribution switches have experienced failures or require maintenance, so as to determine the health status score and use it as labeled data.

[0090] Step 2: Use the above data to train a deep neural network model. During the training process, adjust the model parameters until a satisfactory accuracy level is achieved. Once the model training is completed, it can be used to monitor the status of distribution switches in real time, and obtain the health status score of each distribution switch by inputting the current temperature, current, voltage, and vibration signals.

[0091] Step 3: Calculate the betweenness centrality of each distribution switch. Construct a topological structure diagram of the entire power network and apply an algorithm to calculate the betweenness centrality value of each node (i.e., distribution switch).

[0092] Step 4: Finally, combine the health status score of each distribution switch with its betweenness centrality to calculate the overall health status of the entire system. For example, use the betweenness centrality value as the weight of each distribution switch, and perform a weighted sum of the health status scores of each distribution switch as the overall health status score of the entire system. If there is a distribution switch with a relatively high betweenness centrality but a relatively low health status score, it may indicate that this is a potential risk point that needs to be inspected or maintained preferentially.

[0093] In this way, not only can the status of individual distribution switches be effectively monitored, but also the health level of the entire power supply network can be comprehensively understood, and then a more scientific and reasonable maintenance plan can be formulated to improve the reliability and safety of the system.

[0094] In a possible implementation manner, based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, determine the target control strategy of the distribution switch in the new energy grid-connected system, including:

[0095] For each control strategy, based on the health status, as well as the influence relationship between the operating condition and the health status of the distribution switch under the cooperation of this control strategy, determine the predicted health status of the distribution switch in the new energy grid-connected system after controlling the new energy grid-connected system based on this control strategy;

[0096] Take the control strategy with the optimal predicted health status as the target control strategy of the new energy grid-connected system.

[0097] In this embodiment, for each optional control strategy, use the previously established influence relationship model to predict how the health status of the distribution switch will change in the future for a period of time under the current operating conditions and the known health status of the distribution switch if this strategy is adopted.

[0098] Select the control strategies that can keep the health status of the distribution switch in the best state or decline the slowest among all the prediction results as the final execution plan. This means not only considering the operation convenience in the short term, but also focusing on the long-term equipment health management.

[0099] Since the influence relationship between the operating condition and the control strategy calculated in the above embodiment on the health status of each distribution switch is the aging speed, the predicted health status of the distribution switch in the new energy grid-connected system can also be predicted in combination with the duration of the control strategy.

[0100] Taking a small intelligent grid system including several distributed new energy generation units as an example, the specific steps to determine the predicted health status of the distribution switch in the new energy grid-connected system after controlling the new energy grid-connected system based on a certain control strategy are as follows:

[0101] Step 1: Collect the current operating parameters (such as light intensity, wind speed, grid load) to identify the current operating conditions. At the same time, obtain the state parameters (temperature, current, voltage) of the distribution switch to evaluate its health status score.

[0102] Step 2: Use the previously constructed influence relationship model (such as linear regression, thermodynamic model, and support vector machine model), for several different control strategies (such as adjusting load distribution, changing switch operation frequency, etc.), calculate the predicted health status scores of the distribution switch after applying these strategies under the current operating conditions respectively.

[0103] Step 3: Compare the predicted health status scores under each control strategy and find the strategy that can best maintain the health status of the distribution switch. For example, it is found that if a specific load balancing strategy is adopted, the aging rate of the distribution switch can be significantly slowed down without affecting the power output.

[0104] Step 4: Apply the selected optimal control strategy to the actual system, monitor the status of the distribution switch in real time, and adjust the strategy according to the actual situation to cope with any new changes.

[0105] In a possible implementation, for each control strategy, based on the health status and the relationship between the operating conditions and the impact on the health status of the distribution switch under the cooperation of the control strategy, determine the predicted health status of the distribution switch in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy, including:

[0106] For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the relationship between the operating conditions and the impact on the health status of the distribution switch under the cooperation of the third control strategy, determine the predicted health status of the distribution switch after controlling the new energy grid-connected system based on the third control strategy; where the third control strategy is any control strategy.

[0107] Calculate the predicted health status of the distribution switch in the new energy grid-connected system based on the predicted health status and betweenness centrality of each distribution switch.

[0108] In this embodiment, in the same way as in the above embodiment, use the betweenness centrality of each distribution switch to integrate the predicted health status of each distribution switch to obtain the overall predicted health status of the distribution switch in the new energy grid-connected system, so as to quantitatively evaluate the effect after the application of the control strategy.

[0109] In a possible implementation, the operating parameters include new energy generation parameters, environmental parameters, and load parameters; based on the operating parameters of the new energy grid-connected system, identify the operating conditions of the new energy grid-connected system, including:

[0110] Normalize the new energy generation parameters, environmental parameters, and load parameters of the new energy grid-connected system to obtain the normalized new energy generation parameters, normalized environmental parameters, and normalized load parameters of the new energy grid-connected system, and use them as the normalized operating parameters of the new energy grid-connected system.

[0111] Calculate the cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition, and use the operating condition with the largest cosine similarity as the operating condition of the new energy grid-connected system.

[0112] In this embodiment, when analyzing a new energy grid-connected system, various types of operating parameters are involved, including new energy generation parameters (such as light intensity, wind speed), environmental parameters (such as temperature, humidity), and load parameters (such as power demand). Since these parameters may have different units and magnitudes, direct comparison may lead to deviations. Therefore, it is necessary to convert these parameters into a dimensionless form, that is, perform normalization processing, in order to facilitate subsequent calculations and comparisons.

[0113] Cosine similarity is a method for measuring the difference in the directions of two vectors and is commonly used in fields such as text mining. Here, it is used to compare the operating parameters of the current new energy grid-connected system with the predefined standard operating conditions. By calculating the cosine similarity between the operating parameter vectors of each standard operating condition and the operating parameter vector of the current system, the one with the highest similarity can be selected as the operating condition of the current system.

[0114] Taking a small distributed power station including solar photovoltaic panels and wind turbines as an example, the specific steps for calculating the operating conditions of this new energy grid-connected system are as follows:

[0115] Step 1: Data collection and preprocessing

[0116] Collect the new energy generation parameters at the current moment (for example, light intensity is 500 W / m², wind speed is 8 m / s), environmental parameters (temperature is 25°C, humidity is 60%), and load parameters (grid load demand is 2 MW).

[0117] Perform normalization processing on the above data. Assume that the light intensity range is [0, 1000] W / m², the wind speed range is [0, 20] m / s, the temperature range is [-10, 40]°C, the humidity range is [0%, 100%], and the load demand range is [0, 3] MW. Then the normalized values are respectively:

[0118] Light intensity = (500 - 0) / (1000 - 0) = 0.5

[0119] Wind speed = (8 - 0) / (20 - 0) = 0.4

[0120] Temperature = (25 + 10) / (40 + 10) = 0.7

[0121] Humidity = 60 / 100 = 0.6

[0122] Load demand = 2 / 3 ≈ 0.67

[0123] Step 2: Calculate cosine similarity

[0124] Assume there are three standard operating conditions A, B, and C, and their corresponding normalized parameters are respectively:

[0125] A: [0.6, 0.3, 0.8, 0.5, 0.7]

[0126] B: [0.4, 0.5, 0.6, 0.7, 0.5]

[0127] C: [0.5, 0.4, 0.7, 0.6, 0.6]

[0128] The normalized parameter vector of the current system is [0.5, 0.4, 0.7, 0.6, 0.67].

[0129] Calculate the cosine similarity between the current system and each standard operating condition.

[0130] After calculation, it is found that the cosine similarity with the standard operating condition C is the highest. Therefore, it is determined that the operating condition of the current system is C.

[0131] Through the above method, the operating condition of the system can be accurately identified, and the control strategy can be adjusted accordingly to optimize the system performance.

[0132] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0133] The following is the device embodiment of the present invention. For the details not described in detail, reference can be made to the corresponding method embodiment above.

[0134] Figure 2 The structural schematic diagram of the distribution switch control device of the new energy grid-connected system provided by the embodiment of the present invention is shown. For the sake of convenience of description, only the parts related to the embodiment of the present invention are shown and are described in detail as follows:

[0135] As Figure 2 shown, the distribution switch control device 2 of the new energy grid-connected system includes:

[0136] The first identification module 21 is used to identify the operating condition of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system;

[0137] The second identification module 22 is used to identify the health status of the distribution switch in the new energy grid-connected system based on the status parameters of the distribution switch in the new energy grid-connected system;

[0138] A strategy determination module 23, configured to determine a target control strategy for a distribution switch in a new energy grid-connected system based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy;

[0139] A switch control module 24, configured to control the distribution switch in the new energy grid-connected system based on the target control strategy.

[0140] In a possible implementation manner, the strategy determination module 23 is further configured to:

[0141] Before determining the target control strategy for the distribution switch in the new energy grid-connected system based on the operating conditions and health status, as well as the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, construct a simulation model of the new energy grid-connected system based on the topological structure of the new energy grid-connected system;

[0142] Control the simulation model to operate in a first operating condition, and use a first control strategy to control the distribution switch in the simulation model to obtain corresponding simulation state parameters under the cooperation of the first operating condition and the first control strategy; wherein, the first operating condition is any operating condition, the first control strategy is any control strategy, and the simulation state parameters include the operation frequency, load level, and power quality of each distribution switch in the new energy grid-connected system;

[0143] Based on the corresponding simulation state parameters under the cooperation of each operating condition and each control strategy, determine the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy.

[0144] In a possible implementation manner, the strategy determination module 23 is specifically configured to:

[0145] Based on a linear regression model, determine a first aging rate corresponding to a first operation frequency; wherein, the first operation frequency is the operation frequency corresponding to a first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy, the first distribution switch is any distribution switch, the second operating condition is any operating condition, and the second control strategy is any control strategy;

[0146] Based on a thermodynamic model, determine a second aging rate corresponding to a first load level; wherein, the first load level is the load level corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0147] Based on a support vector machine model, determine a third aging rate corresponding to a first power quality; wherein, the first power quality is the power quality corresponding to the first distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy;

[0148] Combine the first aging speed, the second aging speed, and the third aging speed to obtain a comprehensive aging speed, which is used as the influence relationship of the second operating condition on the health status of each distribution switch in cooperation with the second control strategy.

[0149] In a possible implementation, the state parameters include temperature, current, and voltage; the second identification module 22 is specifically configured to:

[0150] For each distribution switch, input the temperature, current, voltage, and vibration signal of the distribution switch into a trained neural network model to determine the health status score of the distribution switch;

[0151] Based on the health status score and betweenness centrality of each distribution switch, calculate the overall health status of the distribution switches in the new energy grid-connected system.

[0152] In a possible implementation, the policy determination module 23 is specifically configured to:

[0153] For each control strategy, based on the health status and the influence relationship of the operating condition on the health status of the distribution switch in cooperation with the control strategy, determine the predicted health status of the distribution switches in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy;

[0154] Take the control strategy with the optimal predicted health status as the target control strategy of the new energy grid-connected system.

[0155] In a possible implementation, the policy determination module 23 is specifically configured to:

[0156] For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the influence relationship of the operating condition on the health status of the distribution switch in cooperation with the third control strategy, determine the predicted health status of the distribution switch after controlling the new energy grid-connected system based on the third control strategy; where the third control strategy is any control strategy;

[0157] Based on the predicted health status and betweenness centrality of each distribution switch, calculate the predicted health status of the distribution switches in the new energy grid-connected system.

[0158] In a possible implementation, the first identification module 21 is specifically configured to:

[0159] Normalize the new energy generation parameters, environmental parameters, and load parameters of the new energy grid-connected system to obtain the normalized new energy generation parameters, normalized environmental parameters, and normalized load parameters of the new energy grid-connected system, which are used as the normalized operating parameters of the new energy grid-connected system;

[0160] Calculate the cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition, and use the operating condition with the maximum cosine similarity as the operating condition of the new energy grid-connected system.

[0161] In the embodiment of the present invention, the operating condition of the system is identified by analyzing the operating parameters, the health condition of the distribution switch is identified by the state parameters of the distribution switch, and then combined with the influence relationship between each operating condition and the health condition of the distribution switch under each control strategy determined in advance, it is possible to select the control strategy that is most beneficial to the health condition of the distribution switch on the basis of the current health condition of the distribution switch, while ensuring the stability and reliability of the power system, effectively extending the service life of the distribution switch and reducing the maintenance cost.

[0162] Figure 3 It is a schematic diagram of the terminal provided by the embodiment of the present invention. As Figure 3 shown, the terminal 3 of this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. When the processor 30 executes the computer program 32, it implements the steps in the above-mentioned embodiments of the distribution switch control method for each new energy grid-connected system, such as Figure 2 the steps 101 to 104 shown. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the above-mentioned device embodiments, such as Figure 2 the functions of the modules / units 21 to 24 shown.

[0163] Exemplarily, the computer program 32 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 31 and executed by the processor 30 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 32 in the terminal 3. For example, the computer program 32 can be divided into Figure 2 the modules / units 21 to 24 shown.

[0164] The terminal 3 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art can understand that Figure 3 this is only an example of the terminal 3 and does not constitute a limitation on the terminal 3. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the terminal may further include input / output devices, network access devices, a bus, etc.

[0165] The so-called processor 30 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0166] The memory 31 may be an internal storage unit of the terminal 3, such as the hard disk or memory of the terminal 3. The memory 31 may also be an external storage device of the terminal 3, such as a plug-in hard disk equipped on the terminal 3, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 31 may also include both the internal storage unit of the terminal 3 and the external storage device. The memory 31 is used to store the computer program and other programs and data required by the terminal. The memory 31 may also be used to temporarily store data that has been output or will be output.

[0167] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0168] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0169] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0170] In the embodiments provided by the present invention, it should be understood that the disclosed device / terminal and method can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0171] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0172] In addition, the functional units in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0173] When the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described embodiments of the distribution switch control method for each new energy grid-connected system can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0174] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A control method for a distribution switch of a new energy grid-connected system, characterized in that, Including: Identifying the operating condition of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system; Identifying the health status of the distribution switch in the new energy grid-connected system based on the status parameters of the distribution switch in the new energy grid-connected system; Determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating condition and the health status, and the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy; Controlling the distribution switch in the new energy grid-connected system based on the target control strategy; Before determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating condition and the health status, and the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy, it further includes: Constructing a simulation model of the new energy grid-connected system based on the topological structure of the new energy grid-connected system; Controlling the simulation model to work in a first operating condition, and using a first control strategy to control the distribution switch in the simulation model, to obtain the corresponding simulation status parameters under the cooperation of the first operating condition and the first control strategy; wherein, the first operating condition is any operating condition, the first control strategy is any control strategy, and the simulation status parameters include the operation frequency, load degree and power quality of each distribution switch in the new energy grid-connected system; Determining the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy based on the corresponding simulation status parameters under the cooperation of each operating condition and each control strategy; The determining the influence relationship between each operating condition and the health status of the distribution switch under the cooperation of each control strategy based on the corresponding simulation parameters under the cooperation of each operating condition and each control strategy includes: Determining a first aging rate corresponding to a first operation frequency based on a linear regression model; wherein, the first operation frequency is the operation frequency corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy, the first distribution switch is any distribution switch, the second operating condition is any operating condition, and the second control strategy is any control strategy; Determining a second aging rate corresponding to a first load degree based on a thermodynamic model; wherein, the first load degree is the load degree corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy; Determining a third aging rate corresponding to a first power quality based on a support vector machine model; wherein, the first power quality is the power quality corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy; Combining the first aging rate, the second aging rate and the third aging rate to obtain a comprehensive aging rate, and using it as the influence relationship between the second operating condition and the second control strategy and the health status of each distribution switch; 2. The control method of the distribution switch of the new energy grid-connected system according to claim 1, wherein The status parameters include temperature, current and voltage; the identifying the health status of the distribution switch in the new energy grid-connected system based on the status parameters of the distribution switch in the new energy grid-connected system includes: For each power distribution switch, input the temperature, current, voltage, and vibration signals of the power distribution switch into a trained neural network model to determine the health status score of the power distribution switch; Based on the health status scores and betweenness centrality of each power distribution switch, calculate the overall health status of the power distribution switches in the new energy grid-connected system.

3. The power distribution switch control method of the new energy grid-connected system according to claim 2, characterized in that, The method for determining the target control strategy of the power distribution switch in the new energy grid-connected system based on the operating conditions and the health status, and the influence relationship between each operating condition and each control strategy on the health status of the power distribution switch includes: For each control strategy, based on the health status and the influence relationship between the operating conditions and the health status of the power distribution switch under the cooperation of the control strategy, determine the predicted health status of the power distribution switches in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy; Take the control strategy with the optimal predicted health status as the target control strategy of the new energy grid-connected system.

4. The method for controlling a power distribution switch of the new energy grid-connected system according to claim 3, characterized in that, The method for determining the predicted health status of the power distribution switches in the new energy grid-connected system after controlling the new energy grid-connected system based on the control strategy for each control strategy, based on the health status and the influence relationship between the operating conditions and the health status of the power distribution switch under the cooperation of the control strategy, includes: For each power distribution switch in the new energy grid-connected system, based on the health status of the power distribution switch and the influence relationship between the operating conditions and the health status of the power distribution switch under the cooperation of the third control strategy, determine the predicted health status of the power distribution switch after controlling the new energy grid-connected system based on the third control strategy; where the third control strategy is any control strategy; Based on the predicted health status scores and betweenness centrality of each power distribution switch, calculate the predicted health status of the power distribution switches in the new energy grid-connected system.

5. The method for controlling a distribution switch of a new energy grid-connected system according to claim 1, characterized in that The operating parameters include new energy generation parameters, environmental parameters, and load parameters; the method for identifying the operating conditions of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system includes: Perform normalization processing on the new energy generation parameters, environmental parameters, and load parameters of the new energy grid-connected system to obtain the normalized new energy generation parameters, normalized environmental parameters, and normalized load parameters of the new energy grid-connected system, and use them as the normalized operating parameters of the new energy grid-connected system; Calculate the cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition, and take the operating condition with the maximum cosine similarity as the operating condition of the new energy grid-connected system.

6. A distribution switch control device for a new energy grid-connected system, characterized in that, Includes: A first identification module for identifying the operating conditions of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system; A second identification module for identifying the health status of the power distribution switches in the new energy grid-connected system based on the status parameters of the power distribution switches in the new energy grid-connected system; A strategy determination module for determining the target control strategy of the power distribution switches in the new energy grid-connected system based on the operating conditions and the health status, and the influence relationship between each operating condition and each control strategy on the health status of the power distribution switch; A switch control module for controlling the distribution switch in the new energy grid-connected system based on the target control strategy; The strategy determination module is further configured to: Before determining the target control strategy of the distribution switch in the new energy grid-connected system based on the operating conditions, the health status, and the influence relationship between each operating condition and each control strategy on the health status of the distribution switch, construct a simulation model of the new energy grid-connected system based on the topological structure of the new energy grid-connected system; Control the simulation model to operate in a first operating condition, and use a first control strategy to control the distribution switch in the simulation model to obtain the corresponding simulation state parameters under the cooperation of the first operating condition and the first control strategy; wherein, the first operating condition is any operating condition, the first control strategy is any control strategy, and the simulation state parameters include the operation frequency, load level, and power quality of each distribution switch in the new energy grid-connected system; Based on the corresponding simulation state parameters under the cooperation of each operating condition and each control strategy, determine the influence relationship between each operating condition and each control strategy on the health status of the distribution switch; Specifically, the strategy determination module is configured to: Based on a linear regression model, determine a first aging rate corresponding to a first operation frequency; wherein, the first operation frequency is the operation frequency corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy, the first distribution switch is any distribution switch, the second operating condition is any operating condition, and the second control strategy is any control strategy; Based on a thermodynamic model, determine a second aging rate corresponding to a first load level; wherein, the first load level is the load level corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy; Based on a support vector machine model, determine a third aging rate corresponding to a first power quality; wherein, the first power quality is the power quality corresponding to the first distribution switch in the simulation model under the cooperation of a second operating condition and a second control strategy; Combine the first aging rate, the second aging rate, and the third aging rate to obtain a comprehensive aging rate, and use it as the influence relationship between the second operating condition and the second control strategy on the health status of each distribution switch.

7. A terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5 above.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 5 above.

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