Power distribution switch control method and device of new energy grid-connected system, terminal and medium

Abstract

The invention provides a power distribution switch control method and device of a new energy grid-connected system, a terminal and a medium, and belongs to the technical field of power distribution switch management and control. The method comprises the following steps: identifying an operation condition of the new energy grid-connected system based on an operation parameter of the new energy grid-connected system; based on the state parameter of the power distribution switch in the new energy grid-connected system, identifying the health condition of the power distribution switch in the new energy grid-connected system; determining a target control strategy of the power distribution switch in the new energy grid-connected system based on the operation condition and the health condition and the influence relationship on the health condition of the power distribution switch under the cooperation of each operation condition and each control strategy; and controlling a power distribution switch in the new energy grid-connected system based on the target control strategy. The service life of the power distribution switch can be effectively prolonged, and the maintenance cost is reduced.

Description

Technical Field

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

[0002] With the growth of global demand for clean energy and the improvement of environmental awareness, the large-scale access of new energy sources such as wind power 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 intermittent and uncertain characteristics, 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 section switches in the distribution network. By changing the state of these two switches, the topology of the distribution network can be adjusted to improve reliability, reduce line losses, balance loads and improve the quality of power supply voltage. In the context of large-scale access of new energy to the grid, the working environment of the distribution switch, one of the key components of the grid, has become more severe. Frequent operations, complex load changes and unstable power quality may cause premature aging or failure of the distribution switch. However, the current control strategies for distribution switches are all aimed at improving the stability, reliability and efficiency of the power system, while ignoring the impact of different control strategies on the life of the distribution switch itself in the context of large-scale access of new energy to the grid, which may increase 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 of a new energy grid-connected system to solve the problem of a reduction in the life of a distribution switch due to a control strategy in the context of reducing the large-scale access of new energy to the grid.

[0005] In a first aspect, an embodiment of the present invention provides a method for controlling a distribution switch of a new energy grid-connected system, comprising: Based on the operating parameters of the new energy grid-connected system, identify the operating conditions of the new energy grid-connected system; Based on the status parameters of the distribution switches in the renewable energy grid-connected system, identify the health status of the distribution switches in the renewable energy grid-connected system; Determine the target control strategy of the distribution switch in the renewable energy grid-connected system based on the operating conditions and health status, as well as the impact of each operating condition and each control strategy on the health status of the distribution switch; The distribution switches in the renewable energy grid-connected system are controlled based on the target control strategy.

[0006] 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 between each operating condition and each control strategy on the health status of the distribution switch, the method further includes: Based on the topological structure of the new energy grid-connected system, a simulation model of the new energy grid-connected system is constructed; The simulation model is controlled to operate in a first operating condition, and a first control strategy is adopted to control the distribution switch in the simulation model, so as to obtain simulation state parameters corresponding to 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 operating frequency, load degree and power quality of each distribution switch in the new energy grid-connected system; Based on the simulation state parameters corresponding to each operating condition and each control strategy, the influence relationship of each operating condition and each control strategy on the health status of the distribution switch is determined.

[0007] In a possible implementation, based on the simulation parameters corresponding to each operating condition and each control strategy, the influence relationship between each operating condition and each control strategy on the health of the distribution switch is determined, including: Based on the linear regression model, determine the first aging speed corresponding to the first operating frequency; wherein the first operating frequency is the operating 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; Based on the thermodynamic model, determining a second aging speed corresponding to a first load level; wherein the first load level is a load level corresponding to a first power distribution switch in a simulation model under a second operating condition and a second control strategy; Based on the support vector machine model, determining a third aging speed 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; The first aging rate, the second aging rate and the third aging rate are combined to obtain a comprehensive aging rate, which is used as the influence relationship on the health status of each distribution switch under the cooperation of the second operating condition and the second control strategy.

[0008] In a possible implementation, the state parameters include temperature, current and voltage; based on the state parameters of the distribution switch in the renewable energy grid-connected system, identifying the health status of the distribution switch in the renewable energy grid-connected system includes: For each power distribution switch, input the temperature, current, voltage and vibration signals of the power distribution switch into the trained neural network model to determine the health status score of the power distribution switch; Based on the health score and betweenness centrality of each distribution switch, the overall health status of the distribution switches in the renewable energy grid-connected system is calculated.

[0009] In a possible implementation, based on the operating conditions and health status, and the influence of each operating condition and each control strategy on the health status of the distribution switch, the target control strategy of the distribution switch in the new energy grid-connected system is determined, including: For each control strategy, based on the health status and the influence of the operating conditions and the control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch in the renewable energy grid-connected system after the renewable energy grid-connected system is controlled based on the control strategy; The control strategy with the best predicted health status is used as the target control strategy of the new energy grid-connected system.

[0010] In a possible implementation, for each control strategy, based on the health status and the influence relationship between the operating condition and the control strategy on the health status of the distribution switch, the predicted health status of the distribution switch in the new energy grid-connected system after the new energy grid-connected system is controlled based on the control strategy is determined, including: For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the influence relationship between the operating condition and the third control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch after the new energy grid-connected system is controlled based on the third control strategy; wherein the third control strategy is any control strategy; The predicted health status of the distribution switches in the renewable energy grid-connected system is calculated based on the predicted health status and betweenness centrality of each distribution switch.

[0011] In a possible implementation, the operating parameters include renewable energy power generation parameters, environmental parameters, and load parameters; based on the operating parameters of the renewable energy grid-connected system, identifying the operating conditions of the renewable energy grid-connected system includes: Normalizing the new energy power generation parameters, environmental parameters and load parameters of the new energy grid-connected system to obtain the normalized new energy power generation parameters, normalized environmental parameters and normalized load parameters of the new energy grid-connected system, and using them as the normalized operating parameters of the new energy grid-connected system; The cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition is calculated, and the operating condition with the largest cosine similarity is taken as the operating condition of the new energy grid-connected system.

[0012] In a second aspect, an embodiment of the present invention provides a power distribution switch control device for a new energy grid-connected system, comprising: A first identification module 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; A second identification module is used to identify the health status of the distribution switch in the renewable energy grid-connected system based on the state parameters of the distribution switch in the renewable energy grid-connected system; A strategy determination module is used to determine the target control strategy of the distribution switch in the new energy grid-connected system based on the operating conditions and health status, as well as the influence of each operating condition and each control strategy on the health status of the distribution switch; The switch control module is used to control the distribution switches in the renewable energy grid-connected system based on the target control strategy.

[0013] In a third aspect, an embodiment of the present invention provides a terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores 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 method of the first aspect are implemented.

[0015] The embodiments of the present invention provide a distribution switch control method, device, terminal and medium of a new energy grid-connected system. 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 the influence relationship of each predetermined operating condition on the health status of the distribution switch is combined with each control strategy. Based on the current health status of the distribution switch, the control strategy that is most favorable to the health status of the distribution switch can be selected, which effectively prolongs the service life of the distribution switch and reduces the maintenance cost while ensuring the stability and reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 This is a flow chart of an implementation method of a power distribution switch control method of a new energy grid-connected system provided by an embodiment of the present invention; Figure 2It is a structural schematic diagram of a power distribution switch control device of a new energy grid-connected system provided by an embodiment of the present invention; Figure 3 is a schematic diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may 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 prevent unnecessary details from obstructing the description of the present invention.

[0019] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0020] See also Figure 1 , which shows a flow chart of the implementation of the distribution switch control method of the new energy grid-connected system provided by an embodiment of the present invention, which is described in detail as follows: Step 101, identifying the operating condition of the new energy grid-connected system based on the operating parameters of the new energy grid-connected system.

[0021] In this embodiment, the new energy grid-connected system refers to a system that connects the electricity generated by renewable energy generation equipment such as solar energy and wind energy to the existing power network (usually the distribution network) through a specific technical interface, so that clean energy can be effectively integrated into the existing power supply system. This connection method requires the distribution network to have a certain degree of flexibility and intelligence in order to better accept and manage these intermittent energy inputs.

[0022] Distribution switches are key devices used to control and protect each node in the distribution network. They can cut off or restore power when necessary, prevent faults from spreading, and help maintain the quality and reliability of power supply. In the scenario of renewable energy grid connection, the role of distribution switches is particularly important, because they not only have to deal with the changes in traditional loads, but also need to adapt to the intermittent output characteristics of renewable energy, such as the volatility of wind power generation and the daily changes in photovoltaic power generation.

[0023] In view of the problem that the life of distribution switches may be affected in the context of large-scale access of new energy to the power grid, this embodiment analyzes the operating conditions of the new energy grid-connected system, thereby conducting a specific analysis of the impact on the life of the distribution switches, so as to control the distribution switches in a timely manner, extend the service life of the distribution switches, and reduce maintenance costs.

[0024] Specifically, the life of the distribution switch 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 life of the distribution switch can be classified.

[0025] Step 102: Identify the health status of the distribution switches in the renewable energy grid-connected system based on the status parameters of the distribution switches in the renewable energy grid-connected system.

[0026] In this embodiment, the current health status of the distribution switch also needs to be considered as the basis for selecting the distribution switch control strategy, and the life impact of each control strategy is quantitatively evaluated and compared.

[0027] Specifically, the actual working status of the distribution switch can be monitored by collecting the status parameters of the distribution switch (such as temperature, current, voltage, etc.) in real time or periodically. Combined with a pre-trained model (such as a neural network model), the current health status of the distribution switch can be accurately evaluated.

[0028] Understanding the health of distribution switches can help develop 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 a specific switch, extend its service life, and reduce the risk of power outages caused by switch failures.

[0029] Step 103, based on the operating conditions and health status, and the influence relationship between each operating condition and each control strategy on the health status of the distribution switch, determine the target control strategy of the distribution switch in the new energy grid-connected system.

[0030] In this embodiment, the influence of various operating conditions and various control strategies on the health status of the distribution switch can be analyzed in advance, and 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.

[0031] Step 104: Control the distribution switches in the new energy grid-connected system based on the target control strategy.

[0032] In this embodiment, common distribution switch control strategies include time-based control strategies, load forecasting-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, microgrid and island operation mode switching control, distributed energy resource integration control, automatic reclosing control, demand response management and other categories. Each control strategy has its applicable scenarios and limitations. In practical applications, it is often necessary to select a suitable solution based on the specific situation or to combine multiple strategies to achieve the best effect. With the development of technology, more and more intelligent means have been introduced into the field of distribution switch control, providing the possibility of building a more flexible and efficient modern power grid.

[0033] The embodiment of the present invention identifies the operating conditions of the system by analyzing the operating parameters, identifies the health status of the distribution switch by the state parameters of the distribution switch, and then combines the influence of each predetermined operating condition and each control strategy on the health status of the distribution switch. Based on the current health status of the distribution switch, the control strategy that is most favorable to the health status of the distribution switch can be selected, which effectively extends the service life of the distribution switch and reduces maintenance costs while ensuring the stability and reliability of the power system.

[0034] 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 between each operating condition and each control strategy on the health status of the distribution switch, the method further includes: Based on the topological structure of the new energy grid-connected system, a simulation model of the new energy grid-connected system is constructed; The simulation model is controlled to operate in a first operating condition, and a first control strategy is adopted to control the distribution switch in the simulation model, so as to obtain simulation state parameters corresponding to 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 operating frequency, load degree and power quality of each distribution switch in the new energy grid-connected system; Based on the simulation state parameters corresponding to each operating condition and each control strategy, the influence relationship of each operating condition and each control strategy on the health status of the distribution switch is determined.

[0035] In this embodiment, the simulation model can be used to predict the impact of different operating conditions and control strategies on the distribution switch, and the optimal control solution can be obtained without actual operation.

[0036] For example, for the new energy grid-connected system with wind power and photovoltaic access, a simulation model simulating the 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), and then observe the performance of the distribution switch under various operating conditions and control strategies (such as operating frequency, load level and power quality), and then combine the influence of operating frequency, load level and power quality on the life of the distribution switch to determine the influence of various operating conditions and various control strategies on the health of the distribution switch.

[0037] In a possible implementation, based on the simulation parameters corresponding to each operating condition and each control strategy, the influence relationship between each operating condition and each control strategy on the health of the distribution switch is determined, including: Based on the linear regression model, determine the first aging speed corresponding to the first operating frequency; wherein the first operating frequency is the operating 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; Based on the thermodynamic model, determining a second aging speed corresponding to a first load level; wherein the first load level is a load level corresponding to a first power distribution switch in a simulation model under a second operating condition and a second control strategy; Based on the support vector machine model, determining a third aging speed 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; The first aging rate, the second aging rate and the third aging rate are combined to obtain a comprehensive aging rate, which is used as the influence relationship on the health status of each distribution switch under the cooperation of the second operating condition and the second control strategy.

[0038] In this embodiment, linear regression is a statistical method used to establish a linear relationship between two variables. The relationship model between the operation frequency and aging speed of the distribution switch can be constructed through historical data or experimental data to quantify the impact of frequent operation on the life of the distribution switch and provide a basis for optimizing the control strategy.

[0039] Thermodynamic models take into account the effects of physical quantities such as temperature and current on material properties. By modeling the temperature rise of distribution switches under different load conditions, the impact of load levels on the aging rate of equipment can be evaluated.

[0040] Support vector machine (SVM) is a supervised learning algorithm suitable for classification and regression tasks. By processing the data set of the impact of power quality (such as voltage fluctuation, harmonic content, etc.) on the health of distribution switches through support vector machine, a model is established to predict the aging rate, which can accurately capture the impact of complex nonlinear power quality problems on equipment life and help formulate more detailed maintenance plans.

[0041] Finally, the aging rates caused by the above three factors can be combined into a comprehensive indicator by weighted summation or multiplication, which can comprehensively evaluate the changes in the life of distribution switches, allowing decision makers to take corresponding measures based on the overall aging situation.

[0042] Taking a wind power station as an example, the specific steps to determine the comprehensive aging rate of the distribution switch may include: Step 1: Collect the operation 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 certain period of time, if the distribution switch is operated 5 times per hour on average, its annual aging rate is 0.8% (assumed value). This is the first aging rate.

[0043] Step 2: Use a thermodynamic model to simulate the operating temperature changes 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.

[0044] Step 3: Collect and analyze power quality data, including parameters such as voltage fluctuation and total harmonic distortion. Use the support vector machine model to process these data and derive the aging rate under specific power quality conditions, assuming it is 0.7% per year (assumed value), which is the third aging rate.

[0045] Step 4: Finally, combining the above three aging speeds, 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 speed: Comprehensive aging rate = 0.4 × 0.8% + 0.3 × 0.5% + 0.3 × 0.7% = 0.68% In this way, the aging of the distribution switch under given operating conditions and control strategies can be quantitatively evaluated, and the control strategy can be optimized to reduce unnecessary losses, extend the service life of the equipment, and reduce maintenance costs. In addition, preventive maintenance activities can be planned in advance based on the changing trend of the comprehensive aging rate.

[0046] In a possible implementation, the state parameters include temperature, current and voltage; based on the state parameters of the distribution switch in the renewable energy grid-connected system, identifying the health status of the distribution switch in the renewable energy grid-connected system includes: For each power distribution switch, input the temperature, current, voltage and vibration signals of the power distribution switch into the trained neural network model to determine the health status score of the power distribution switch; Based on the health score and betweenness centrality of each distribution switch, the overall health status of the distribution switches in the renewable energy grid-connected system is calculated.

[0047] In this embodiment, betweenness centrality is used in network theory to measure the importance of nodes, and can also be used to indicate the criticality of distribution switches in the entire system.

[0048] To use a neural network model to assess the health of a distribution switch, it is first necessary to collect a large amount of data about the distribution switch under different working conditions (including temperature, current, voltage, vibration, etc.) and mark its corresponding health score as a training set. Then, use this data to train a neural network model that can predict the health score of the distribution switch based on the input parameters. This method can provide more accurate health assessment results than traditional threshold-based methods because it considers the complex relationship between multiple influencing factors and can adapt to new working environments or changes in equipment characteristics by continuously updating training data.

[0049] Betweenness centrality is a graph theory concept used to measure the importance of a node in a network. In this embodiment, it reflects the criticality of the distribution switch in the entire power supply network. By combining the health score of a single distribution switch and its betweenness centrality, an overall health score for the entire system can be derived. Specifically, for those distribution switches with higher betweenness centrality, even if their health scores are slightly lower, they will have a greater impact on the overall health of the system. Through betweenness centrality, it is helpful to identify those distribution switches that appear to be healthy at present but need special attention due to their critical role in the network.

[0050] Taking a small smart grid system that includes several distributed renewable energy generation units, including wind turbines and solar panels, as an example, the specific steps to determine the overall health of the distribution switches in the system are as follows: 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 ever failed or need maintenance to determine the health score and use it as label data.

[0051] Step 2: Use the above data to train a deep neural network model. During the training process, adjust the model parameters until a satisfactory level of accuracy is achieved. Once the model is trained, it can be used to monitor the status of the distribution switches in real time, and obtain the health score of each distribution switch by inputting the current temperature, current, voltage and vibration signals.

[0052] 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).

[0053] Step 4: Finally, the health score of each distribution switch is combined with its betweenness centrality to calculate the overall health of the entire system. For example, the betweenness centrality value is used as the weight of each distribution switch, and the health score of each distribution switch is weighted summed as the overall health score of the entire system. If there is a distribution switch with a high betweenness centrality but a low health score, it may indicate that this is a potential risk point that needs to be inspected or maintained as a priority.

[0054] In this way, not only can the status of a single distribution switch be effectively monitored, but the health level of the entire power supply network can also be fully understood, thereby formulating a more scientific and reasonable maintenance plan and improving the reliability and safety of the system.

[0055] In a possible implementation, based on the operating conditions and health status, and the influence of each operating condition and each control strategy on the health status of the distribution switch, the target control strategy of the distribution switch in the new energy grid-connected system is determined, including: For each control strategy, based on the health status and the influence of the operating conditions and the control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch in the renewable energy grid-connected system after the renewable energy grid-connected system is controlled based on the control strategy; The control strategy with the best predicted health status is used as the target control strategy of the new energy grid-connected system.

[0056] In this embodiment, for each optional control strategy, the previously established influence relationship model is used to predict how the health status of the distribution switch will change in the future under the current operating conditions and the known health status of the distribution switch if this strategy is adopted.

[0057] Among all the prediction results, the control strategies that can maintain the best health of the distribution switch or slow down the decline are selected as the final execution plan. This means not only considering the short-term operational convenience, but also focusing on long-term equipment health management.

[0058] Since the influence relationship between the calculated operating conditions and the control strategy on the health status of each distribution switch in the above embodiment is the aging speed, the predicted health status of the distribution switches in the new energy grid-connected system can also be predicted in combination with the duration of the control strategy.

[0059] Taking a small smart grid system containing several distributed renewable energy power generation units as an example, after determining that the renewable energy grid-connected system is controlled based on a certain control strategy, the specific steps for predicting the health status of the distribution switches in the renewable energy grid-connected system are as follows: Step 1: Collect current operating parameters (such as light intensity, wind speed, grid load) to identify the current operating conditions. At the same time, obtain the status parameters (temperature, current, voltage) of the distribution switch to evaluate its health score.

[0060] Step 2: Using the previously constructed influence relationship models (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 score of the distribution switch after applying these strategies under the current operating conditions.

[0061] Step 3: Compare the predicted health scores under each control strategy to find the strategy that can best maintain the health 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.

[0062] 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.

[0063] In a possible implementation, for each control strategy, based on the health status and the influence relationship between the operating condition and the control strategy on the health status of the distribution switch, the predicted health status of the distribution switch in the new energy grid-connected system after the new energy grid-connected system is controlled based on the control strategy is determined, including: For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the influence relationship between the operating condition and the third control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch after the new energy grid-connected system is controlled based on the third control strategy; wherein the third control strategy is any control strategy; The predicted health status of the distribution switches in the renewable energy grid-connected system is calculated based on the predicted health status and betweenness centrality of each distribution switch.

[0064] In this embodiment, in the same manner as in the above embodiments, the predicted health status of each distribution switch is integrated using the betweenness centrality of each distribution switch to obtain the overall predicted health status of the distribution switches in the new energy grid-connected system, thereby quantitatively evaluating the effect of the control strategy after application.

[0065] In a possible implementation, the operating parameters include renewable energy power generation parameters, environmental parameters, and load parameters; based on the operating parameters of the renewable energy grid-connected system, identifying the operating conditions of the renewable energy grid-connected system includes: Normalizing the new energy power generation parameters, environmental parameters and load parameters of the new energy grid-connected system to obtain the normalized new energy power generation parameters, normalized environmental parameters and normalized load parameters of the new energy grid-connected system, and using them as the normalized operating parameters of the new energy grid-connected system; The cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition is calculated, and the operating condition with the largest cosine similarity is taken as the operating condition of the new energy grid-connected system.

[0066] In this embodiment, when analyzing the new energy grid-connected system, various types of operating parameters are involved, including new energy power 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 dimensionless form, that is, to perform normalization processing, in order to facilitate subsequent calculations and comparisons.

[0067] Cosine similarity is a method to measure the difference between the directions of two vectors, and is often used in fields such as text mining. Here, it is used to compare the similarity between the operating parameters of the current renewable energy grid-connected system and the predefined standard operating conditions. By calculating the cosine similarity between the operating parameter vector 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.

[0068] 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 the new energy grid-connected system are as follows: Step 1: Data collection and preprocessing Collect the current renewable energy generation parameters (for example, the light intensity is 500 W / m², the wind speed is 8 m / s), environmental parameters (temperature is 25°C, humidity is 60%), and load parameters (grid load demand is 2 MW).

[0069] Normalize 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. The normalized values ​​are: Light intensity = (500 - 0) / (1000 - 0) = 0.5 Wind speed = (8 - 0) / (20 - 0) = 0.4 Temperature = (25 + 10) / (40 + 10) = 0.7 Humidity = 60 / 100 = 0.6 Load demand = 2 / 3 ≈ 0.67 Step 2: Calculate cosine similarity Assume that there are three standard operating conditions A, B, and C, and their corresponding normalized parameters are: A: [0.6, 0.3, 0.8, 0.5, 0.7] B: [0.4, 0.5, 0.6, 0.7, 0.5] C: [0.5, 0.4, 0.7, 0.6, 0.6] The normalized parameter vector of the current system is [0.5, 0.4, 0.7, 0.6, 0.67].

[0070] Calculate the cosine similarity between the current system and each standard operating condition.

[0071] After calculation, it is found that the cosine similarity with the standard operating condition C is the highest, so the operating condition of the current system is determined to be C.

[0072] Through the above method, the operating conditions of the system can be accurately identified, and the control strategy can be adjusted accordingly to optimize the system performance.

[0073] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0074] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0075] Figure 2The structure diagram of the power distribution switch control device of the new energy grid-connected system provided by the embodiment of the present invention is shown. For the convenience of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows: like Figure 2 As shown, the power distribution switch control device 2 of the new energy grid-connected system includes: A first identification module 21, 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; A second identification module 22, used to identify the health status of the distribution switch in the renewable energy grid-connected system based on the state parameters of the distribution switch in the renewable energy grid-connected system; A strategy determination module 23 is used to determine 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 between each operating condition and each control strategy on the health status of the distribution switch; The switch control module 24 is used to control the distribution switches in the new energy grid-connected system based on the target control strategy.

[0076] In a possible implementation, the policy determination module 23 is further configured to: Before determining the target control strategy of the distribution switch in the renewable energy grid-connected system based on the operating conditions and health conditions, as well as the influence of each operating condition and each control strategy on the health status of the distribution switch, a simulation model of the renewable energy grid-connected system is constructed based on the topological structure of the renewable energy grid-connected system. The simulation model is controlled to operate in a first operating condition, and a first control strategy is adopted to control the distribution switch in the simulation model, so as to obtain simulation state parameters corresponding to 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 operating frequency, load degree and power quality of each distribution switch in the new energy grid-connected system; Based on the simulation state parameters corresponding to each operating condition and each control strategy, the influence relationship of each operating condition and each control strategy on the health status of the distribution switch is determined.

[0077] In a possible implementation, the policy determination module 23 is specifically configured to: Based on the linear regression model, determine the first aging speed corresponding to the first operating frequency; wherein the first operating frequency is the operating 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; Based on the thermodynamic model, determining a second aging speed corresponding to a first load level; wherein the first load level is a load level corresponding to a first power distribution switch in a simulation model under a second operating condition and a second control strategy; Based on the support vector machine model, determining a third aging speed 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; The first aging rate, the second aging rate and the third aging rate are combined to obtain a comprehensive aging rate, which is used as the influence relationship on the health status of each distribution switch under the cooperation of the second operating condition and the second control strategy.

[0078] In a possible implementation, the state parameters include temperature, current and voltage; the second identification module 22 is specifically used for: For each power distribution switch, input the temperature, current, voltage and vibration signals of the power distribution switch into the trained neural network model to determine the health status score of the power distribution switch; Based on the health score and betweenness centrality of each distribution switch, the overall health status of the distribution switches in the renewable energy grid-connected system is calculated.

[0079] In a possible implementation, the policy determination module 23 is specifically configured to: For each control strategy, based on the health status and the influence of the operating conditions and the control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch in the renewable energy grid-connected system after the renewable energy grid-connected system is controlled based on the control strategy; The control strategy with the best predicted health status is used as the target control strategy of the new energy grid-connected system.

[0080] In a possible implementation, the policy determination module 23 is specifically configured to: For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the influence relationship between the operating condition and the third control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch after the new energy grid-connected system is controlled based on the third control strategy; wherein the third control strategy is any control strategy; The predicted health status of the distribution switches in the renewable energy grid-connected system is calculated based on the predicted health status and betweenness centrality of each distribution switch.

[0081] In a possible implementation, the first identification module 21 is specifically configured to: Normalizing the new energy power generation parameters, environmental parameters and load parameters of the new energy grid-connected system to obtain the normalized new energy power generation parameters, normalized environmental parameters and normalized load parameters of the new energy grid-connected system, and using them as the normalized operating parameters of the new energy grid-connected system; The cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition is calculated, and the operating condition with the largest cosine similarity is taken as the operating condition of the new energy grid-connected system.

[0082] The embodiment of the present invention identifies the operating conditions of the system by analyzing the operating parameters, identifies the health status of the distribution switch by the state parameters of the distribution switch, and then combines the influence of each predetermined operating condition and each control strategy on the health status of the distribution switch. Based on the current health status of the distribution switch, the control strategy that is most favorable to the health status of the distribution switch can be selected, which effectively extends the service life of the distribution switch and reduces maintenance costs while ensuring the stability and reliability of the power system.

[0083] Figure 3 is a schematic diagram of a terminal provided by an embodiment of the present invention. Figure 3 As 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, the steps in the above-mentioned distribution switch control method embodiments of each new energy grid-connected system are implemented, such as Figure 2 Alternatively, when the processor 30 executes the computer program 32, the functions of each module / unit in the above-mentioned device embodiments are realized, for example, Figure 2 Functions of the modules / units 21 to 24 are shown.

[0084] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 32 in the terminal 3. For example, the computer program 32 may be divided into Figure 2 Modules / units 21 to 24 are shown.

[0085] The terminal 3 may be a computing device such as a desktop computer, a notebook, a PDA, or 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 will appreciate that Figure 3It is only an example of terminal 3 and does not constitute a limitation on terminal 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal may also include input and output devices, network access devices, buses, etc.

[0086] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0087] The memory 31 may be an internal storage unit of the terminal 3, such as a 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, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal 3. 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 is to be output.

[0088] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0089] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0090] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0091] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If 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, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned distribution switch control method embodiments of 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 source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practices, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0095] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for controlling a power distribution switch of a new energy grid-connected system, characterized in that: include: Based on the operating parameters of the new energy grid-connected system, identifying the operating conditions of the new energy grid-connected system; Based on the state parameters of the distribution switches in the renewable energy grid-connected system, identifying the health status of the distribution switches in the renewable energy grid-connected system; Determine a target control strategy for the distribution switch in the new energy grid-connected system based on the operating conditions and the health conditions, and the influence relationship between each operating condition and each control strategy on the health conditions of the distribution switch; The distribution switches in the new energy grid-connected system are controlled based on the target control strategy.

2. The power distribution switch control method of the new energy grid-connected system according to claim 1, characterized in that: Before determining the target control strategy of the 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 distribution switch, the method further includes: Based on the topological structure of the new energy grid-connected system, construct a simulation model of the new energy grid-connected system; Control the simulation model to operate in a first operating condition, and adopt a first control strategy to control the distribution switch in the simulation model, and obtain simulation state parameters corresponding to 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 operating frequency, load level and power quality of each distribution switch in the new energy grid-connected system; Based on the simulation state parameters corresponding to each operating condition and each control strategy, the influence relationship of each operating condition and each control strategy on the health status of the distribution switch is determined.

3. The power distribution switch control method of the new energy grid-connected system according to claim 2, characterized in that: The determining of the influence relationship between each operating condition and each control strategy on the health status of the distribution switch based on the simulation parameters corresponding to each operating condition and each control strategy includes: Based on the linear regression model, determine a first aging speed corresponding to a first operating frequency; wherein the first operating frequency is an operating frequency corresponding to a first distribution switch in the simulation model under 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 the thermodynamic model, determining a second aging speed corresponding to a first load level; wherein the first load level is a load level corresponding to the first power distribution switch in the simulation model under the cooperation of the second operating condition and the second control strategy; Based on the support vector machine model, determining a third aging speed 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; The first aging rate, the second aging rate and the third aging rate are combined to obtain a comprehensive aging rate, which is used as the influence relationship on the health status of each distribution switch under the cooperation of the second operating condition and the second control strategy.

4. The power distribution switch control method of the new energy grid-connected system according to claim 1, characterized in that: The state 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 state 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 the trained neural network model to determine the health status score of the power distribution switch; Based on the health status score and betweenness centrality of each distribution switch, the overall health status of the distribution switches in the new energy grid-connected system is calculated.

5. The power distribution switch control method of the new energy grid-connected system according to claim 4, characterized in that: The determining of the target control strategy of the 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 distribution switch, includes: For each control strategy, based on the health status and the influence relationship between the operating condition and the control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch in the new energy grid-connected system after the new energy grid-connected system is controlled based on the control strategy; The control strategy with the best predicted health status is used as the target control strategy of the new energy grid-connected system.

6. The power distribution switch control method of the new energy grid-connected system according to claim 5, characterized in that: The method of determining, for each control strategy, based on the health status and the influence relationship between the operating condition and the control strategy on the health status of the distribution switch after the new energy grid-connected system is controlled based on the control strategy, the predicted health status of the distribution switch in the new energy grid-connected system includes: For each distribution switch in the new energy grid-connected system, based on the health status of the distribution switch and the influence relationship between the operating condition and the third control strategy on the health status of the distribution switch, determine the predicted health status of the distribution switch after the new energy grid-connected system is controlled based on the third control strategy; wherein the third control strategy is any control strategy; Based on the predicted health status and betweenness centrality of each distribution switch, the predicted health status of the distribution switches in the new energy grid-connected system is calculated.

7. The power distribution switch control method of the new energy grid-connected system according to claim 1, characterized in that: The operating parameters include new energy power generation parameters, environmental parameters and load parameters; the operating parameters based on the new energy grid-connected system, identifying the operating conditions of the new energy grid-connected system, includes: Normalizing the new energy power generation parameters, environmental parameters and load parameters of the new energy grid-connected system to obtain normalized new energy power generation parameters, normalized environmental parameters and normalized load parameters of the new energy grid-connected system, and using them as normalized operating parameters of the new energy grid-connected system; The cosine similarity between the normalized operating parameters of the new energy grid-connected system and the operating parameters of each standard operating condition is calculated, and the operating condition with the largest cosine similarity is used as the operating condition of the new energy grid-connected system.

8. A power distribution switch control device for a new energy grid-connected system, characterized in that: include: A first identification module, 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; A second identification module is used to identify the health status of the distribution switch in the renewable energy grid-connected system based on the state parameters of the distribution switch in the renewable energy grid-connected system; A strategy determination module, for determining a target control strategy for the 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 distribution switch; A switch control module is used to control the distribution switch in the new energy grid-connected system based on the target control strategy.

9. 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, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method as claimed in any one of claims 1 to 7 are implemented.

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