Zinc oxide arrester control method, device and equipment and storage medium

Abstract

The embodiment of the invention provides a zinc oxide arrester control method and device, equipment and a storage medium. The method comprises the steps of obtaining environmental parameters and operating parameters of a power system during working, generating a dynamic safety threshold value based on historical operating parameters, environmental parameters and operating parameters which are obtained in advance, and controlling a zinc oxide arrester to be connected to a power grid when the operating parameters exceed the safety threshold value and the environmental parameters meet preset conditions. And when the operation parameters are continuously lower than the safety threshold within the preset time period, controlling to cut off the connection of the zinc oxide arrester, and adaptively adjusting a generation strategy of the dynamic safety threshold according to the operation state of the zinc oxide arrester and the change of the environmental parameters. Through the method, the power grid is effectively protected from being damaged by overvoltage such as lightning stroke, the stability and safety of the power grid are improved, energy loss and equipment abrasion are reduced, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] This application relates to the technical field of power facilities, and particularly to a control method, device, equipment, and storage medium for a zinc oxide arrester. Background Art

[0002] As an indispensable overvoltage protection device in modern power systems, when a zinc oxide arrester encounters lightning strikes, switching overvoltages, and other abnormal voltage conditions, it can quickly and effectively limit excessive voltage values within a safe and controllable range with its excellent performance, thereby ensuring that various power equipment is not damaged and maintaining the stable and safe operation of the entire power system.

[0003] In the prior art, when the arrester is operating in the power system, it needs to continuously bear the AC voltage. This continuous voltage-bearing state inevitably leads to the generation of leakage current, thereby increasing the energy consumption of the power system. In addition, being in this continuous working state for a long time will cause the gradual aging of the arrester, thus shortening its service life. Summary of the Invention

[0004] This application provides a control method, device, equipment, and storage medium for a zinc oxide arrester, which is used to improve the usage mode of the arrester, thereby reducing the energy consumption of the power system while extending the service life of the arrester.

[0005] In a first aspect, an embodiment of this application provides a control method for a zinc oxide arrester, including:

[0006] Obtain the environmental parameters and operating parameters of the power system during operation;

[0007] Generate a dynamic safety threshold based on the pre-acquired historical operating parameters, the environmental parameters, and the operating parameters;

[0008] When the operating parameter exceeds the safety threshold and the environmental parameter meets the preset condition, control the zinc oxide arrester to be connected to the power grid.

[0009] In a possible implementation manner, the method further includes:

[0010] When the operating parameter continuously remains below the safety threshold within a preset time period, control to cut off the connection of the zinc oxide arrester.

[0011] In a possible implementation manner, the method further includes:

[0012] Adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide arrester and the change of the environmental parameter.

[0013] In a possible implementation manner, the environmental parameters include atmospheric humidity and atmospheric temperature, and the operating parameters include voltage, current, frequency, and phase difference.

[0014] In a possible implementation manner, generating a dynamic safety threshold based on the pre-acquired historical operating parameters, the environmental parameters, and the operating parameters includes:

[0015] Establishing a safety threshold reference value based on the historical operating parameters;

[0016] Calculating a dynamic adjustment amount according to the deviation degree between the operating parameters and the reference value;

[0017] Correcting the dynamic adjustment amount through the environmental parameters to obtain a corrected dynamic adjustment amount;

[0018] Generating the dynamic safety threshold according to the safety threshold reference value and the corrected dynamic adjustment amount.

[0019] In a possible implementation manner, correcting the dynamic adjustment amount through the environmental parameters includes:

[0020] Calculating a threshold correction factor through the environmental parameters;

[0021] Correcting the dynamic adjustment amount based on the threshold correction factor.

[0022] In a possible implementation manner, adaptively adjusting the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide arrester and the change of the environmental parameters includes:

[0023] Recording the operating parameters, environmental parameters, and threshold deviation amount each time the zinc oxide arrester operates, and establishing a switching event database;

[0024] Dynamically updating the calculation rule of the safety reference value and the weight of the threshold correction factor by analyzing the switching event database.

[0025] In a second aspect, an embodiment of the present application provides a control device for a zinc oxide arrester, and the device includes:

[0026] An acquisition module, configured to acquire environmental parameters and operating parameters of a power system during operation;

[0027] A generation module, configured to generate a dynamic safety threshold based on pre-acquired historical operating parameters, the environmental parameters, and the operating parameters;

[0028] An access module, configured to control the zinc oxide arrester to be connected to the power grid when the operating parameters exceed the safety threshold and the environmental parameters meet a preset condition.

[0029] In a possible implementation manner, the device further includes:

[0030] A cut-off module, configured to control the disconnection of the connection of the zinc oxide lightning arrester when the operating parameter continuously falls below the safety threshold within a preset period.

[0031] In a possible implementation manner, the device further includes:

[0032] An adjustment module, configured to adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide lightning arrester and the change of the environmental parameters. In a possible implementation manner,

[0033] In a possible implementation manner, the environmental parameters include atmospheric humidity and atmospheric temperature, and the operating parameters include voltage, current, frequency, and phase difference.

[0034] In a possible implementation manner, the generation module is specifically configured to:

[0035] Establish a safety threshold reference value based on the historical operating parameters;

[0036] Calculate a dynamic adjustment amount according to the deviation degree between the operating parameter and the reference value;

[0037] Correct the dynamic adjustment amount through the environmental parameters to obtain a corrected dynamic adjustment amount;

[0038] Generate the dynamic safety threshold according to the safety threshold reference value and the corrected dynamic adjustment amount.

[0039] In a possible implementation manner, the generation module corrects the dynamic adjustment amount through the environmental parameters, specifically including:

[0040] Calculate a threshold correction factor through the environmental parameters;

[0041] Correct the dynamic adjustment amount based on the threshold correction factor.

[0042] In a possible implementation manner, the adjustment module is specifically configured to:

[0043] Record the operating parameters, environmental parameters, and threshold deviation amount each time the zinc oxide lightning arrester acts, and establish a switching event database;

[0044] Dynamically update the calculation rule of the safety reference value and the weight of the threshold correction factor by analyzing the switching event database.

[0045] In a third aspect, an embodiment of the present application provides a computer device, including: a memory and a processor;

[0046] The memory stores computer-executable instructions;

[0047] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementation manners of the first aspect.

[0048] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the above first aspect and / or various possible implementation manners of the first aspect.

[0049] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the above first aspect and / or various possible implementation manners of the first aspect.

[0050] The control method, device, equipment and storage medium of the zinc oxide arrester provided by the embodiments of the present application acquire the environmental parameters and operating parameters of the power system during operation, generate a dynamic safety threshold based on the previously acquired historical operating parameters, environmental parameters and operating parameters, and when the operating parameters exceed the safety threshold and the environmental parameters meet the preset conditions, control the zinc oxide arrester to be connected to the power grid. When the operating parameters are continuously lower than the safety threshold within a preset period, control to cut off the connection of the zinc oxide arrester, and adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide arrester and the change of the environmental parameters. Through the above method, not only the power grid is effectively protected from overvoltage hazards such as lightning strikes, the stability and safety of the power grid are improved, but also the energy loss and equipment wear are reduced, and the operation and maintenance cost is lowered. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0052] Figure 1 It is a schematic structural diagram of the control system of the zinc oxide arrester provided by the present application;

[0053] Figure 2 It is a schematic flow chart of the control method of the zinc oxide arrester provided by the present application Figure 1 ;

[0054] Figure 3 It is a schematic flow chart of the control method of the zinc oxide arrester provided by the present application Figure 2 ;

[0055] Figure 4 Schematic diagram of the control method of the zinc oxide arrester provided in this application Figure 3 ;

[0056] Figure 5 Schematic diagram of the control method of the zinc oxide arrester provided in this application Figure 4 ;

[0057] Figure 6 A schematic diagram of the structure of the control device of the zinc oxide lightning arrester provided in this application;

[0058] Figure 7 A schematic diagram of the structure of the electronic device provided in this application.

[0059] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0060] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0061] Zinc oxide lightning arresters, as an indispensable overvoltage protection device in modern power systems, are of self-evident importance. In the event of lightning strikes, operational overvoltages, and other abnormal voltage conditions, the device can rely on its excellent performance to quickly and effectively limit excessive voltage values to a safe and controllable range, thereby ensuring that all types of power equipment are protected from damage and maintaining the stability and safe operation of the entire power system. However, despite the outstanding contributions of zinc oxide lightning arresters in protecting power facilities, their traditional operating mode is not perfect. Under normal working conditions, lightning arresters need to continuously withstand the action of power frequency voltage, and leakage current will inevitably be generated in this process, which will not only increase the overall loss of the power system, but also cause irreversible aging effects on the zinc oxide lightning arrester itself in the long run, shortening its service life.

[0062] In view of the above problems, the present application provides a control method, device, equipment and storage medium for zinc oxide lightning arresters, which effectively protects the power grid from overvoltages such as lightning strikes, improves the stability and security of the power grid, reduces energy loss and equipment wear, and lowers the operation and maintenance costs. Specifically, in the prior art, the lightning arrester needs to continuously bear the AC voltage during the operation of the power system. This continuous voltage-bearing state inevitably leads to the generation of leakage current, thereby increasing the energy consumption of the power system. In addition, being in this continuous working state for a long time will cause the gradual aging of the lightning arrester, thereby shortening its service life. Considering these problems, the inventor studied whether an intelligent system could be designed to realize the automatic switching of the lightning arrester through an intelligent algorithm, so as to improve the accuracy and extend the service life of the lightning arrester. Based on this, the solution of the present application is proposed.

[0063] Figure 1 It is a schematic structural diagram of the control system for the zinc oxide lightning arrester provided by the present application, as Figure 1 shown, the control system for the zinc oxide lightning arrester provided by the application includes a monitoring module, a control module, an execution module, and a communication module.

[0064] Monitoring module: This module serves as the frontline sentry of the entire intelligent power system, equipped with a high-precision sensor network. These sensors are carefully selected and arranged to ensure that various key parameters of the power system can be monitored in real time. The monitoring scope is extensive, including but not limited to voltage fluctuations, current intensity, frequency changes, and phase information, etc.

[0065] And the sensors are usually selected with high precision:

[0066] Voltage sensor: A voltage transformer with high sensitivity and wide measurement range is selected, which can accurately capture the minute voltage fluctuations, including instantaneous overvoltage and undervoltage conditions.

[0067] Current sensor: A closed-loop Hall sensor is deployed, which has the characteristics of high precision and low power consumption, and can monitor the current intensity in real time, effectively distinguishing normal load current from abnormal current (such as short-circuit current).

[0068] Frequency and phase sensor: A frequency and phase measurement module integrating digital signal processing (DSP) technology can accurately record the frequency changes and phase differences of the power system, which helps to analyze the system stability.

[0069] The data collected by the sensors is transmitted to the core processor of the monitoring module through a high-speed communication interface (such as CAN bus or Ethernet).

[0070] The core processor performs data preprocessing, and uses a filtering algorithm to remove noise interference to ensure the accuracy and reliability of the data.

[0071] The core processor uses a microcontroller or an embedded system, which has data processing capabilities, can process and analyze the collected data in real time, identify abnormal patterns, and calculate the safety thresholds of key parameters.

[0072] Optionally, the monitoring module can also be built with an intelligent early warning system. When any parameter is detected to exceed the preset safety range, the early warning mechanism is immediately triggered to remind the operation and maintenance personnel through means such as audible and visual alarms, SMS notifications, or remote monitoring platforms.

[0073] At the same time, the module can automatically generate detailed monitoring reports, including historical data trend analysis, abnormal event records, system health status assessment, etc., providing a scientific basis for subsequent maintenance decisions.

[0074] The monitoring module supports multiple communication protocols (such as Modbus, IEC 60870-5-104, etc.), facilitating integration with the power system intelligent system or other intelligent devices to achieve seamless data sharing and remote monitoring. It provides open interfaces to allow third-party applications to access and expand the functions and application scenarios of the monitoring system.

[0075] Control module: As the "brain" of the system, the control module integrates advanced processing units, responsible for receiving the real-time data transmitted by the monitoring module and performing fast and accurate analysis through built-in algorithms. The following is a further supplement to the functions and implementation solutions of this module:

[0076] Core functions of the control module:

[0077] Receive high-precision sensor data from the monitoring module, including parameters such as voltage, current, frequency, phase, and possibly temperature and humidity.

[0078] Apply advanced algorithms (such as machine learning, deep learning, or expert systems) to perform intelligent analysis on the processed data. According to the analysis results, intelligently judge whether the zinc oxide arrester needs to be put into operation or cut off to cope with abnormal situations such as overvoltage or lightning strikes in the power system.

[0079] Continuously optimize the control strategy based on the historical data and current status of the power system to improve the usage efficiency and protection effect of the zinc oxide arrester.

[0080] Implement adaptive control, which can automatically adjust the control parameters according to the dynamic changes of the power system to ensure the stability and safety of the system.

[0081] Optionally, select a high-performance embedded processor or DSP (Digital Signal Processor) as the core processing unit of the control module. Configure sufficient memory and storage space to support big data processing and algorithm operation.

[0082] Design a reliable power management system to ensure that the control module can still work properly in a harsh environment.

[0083] Develop control software based on a real-time operating system to achieve real-time data acquisition, processing, and analysis. Integrate advanced algorithm libraries, including machine learning algorithms, deep learning models, etc., for intelligent analysis and decision-making. Design a user-friendly human-machine interface to facilitate operations such as parameter setting, status query, and fault diagnosis for users.

[0084] It can also provide standard communication interfaces (such as CAN bus, Ethernet, etc.) to achieve seamless connection with monitoring modules, execution modules, and other intelligent devices.

[0085] Support multiple communication protocols (such as Modbus, IEC 60870-5-104, etc.) to ensure compatibility with devices and systems from different manufacturers.

[0086] Design security protection measures at the hardware and software levels, such as encrypted communication, permission management, fault detection and isolation, etc., to ensure the security and reliability of the control module.

[0087] Regularly perform system maintenance and upgrades to promptly repair potential security vulnerabilities and performance issues.

[0088] Implement remote monitoring and control functions through the communication module, allowing users to remotely access the status information and historical data of the control module.

[0089] Provide remote fault diagnosis and recovery functions to help users quickly locate and solve problems, improving operation and maintenance efficiency.

[0090] Execution module: This module consists of precise mechanical structures and power electronic components, and can accurately and efficiently execute the instructions issued by the control module. Whether it is to insert or remove the lightning arrester, the execution module can complete the operation in a short time to ensure that the stability and security of the power system are not affected at all. The following is a further supplement to the functions and implementation solutions of this module:

[0091] Core functions of the execution module

[0092] Design a highly sensitive driving mechanism, optimize the transmission path of the mechanical structure, reduce energy loss and time delay during movement, improve the operation speed, and ensure that it can quickly respond after receiving the instructions from the control module to perform the operation of inserting or removing the lightning arrester.

[0093] Adopt high-precision position sensors or current sensors to continuously monitor the status of the lightning arrester to ensure the accuracy of the operation results. Through a closed-loop control system, fine-tune the actuator according to the feedback signal of the sensor to achieve precise control.

[0094] Select high-quality power electronic components and mechanical parts to ensure that the execution module can still work stably in harsh environments. Design a fault detection and redundant backup mechanism so that when a component or part fails, it can automatically switch to the standby state to ensure the continuous operation of the system.

[0095] Optionally, use high-strength and corrosion-resistant materials to manufacture the main structure of the actuator to ensure long-term stable operation. Design a reasonable transmission mechanism, such as gear transmission, lead screw transmission, etc., to meet the requirements of rapid response and precise control. Consider the installation method and operating space of the lightning arrester, and design a compact actuator structure for easy installation and maintenance.

[0096] Select high-performance power electronic components such as relays, contactors or solid-state relays to ensure the reliability and stability of the operation.

[0097] Design a reasonable circuit protection mechanism, such as overcurrent protection, overvoltage protection, etc., to prevent power electronic components from being damaged under abnormal conditions.

[0098] Develop a control system based on a microcontroller or DSP to achieve precise control and status monitoring of the actuator.

[0099] Integrate sensor interfaces and communication interfaces to achieve seamless connection with the control module and other intelligent devices.

[0100] Design a user-friendly human-machine interface to facilitate users to perform operations such as parameter setting, status query and fault diagnosis.

[0101] Design electrical isolation and grounding protection measures to prevent safety accidents such as electric shock and short circuit.

[0102] Equip with an emergency stop button and a fault alarm device to ensure that the operation of the execution module can be quickly stopped and an alarm signal can be issued in case of an emergency.

[0103] Implement remote monitoring and control functions through the communication module, allowing users to remotely access the status information and historical data of the execution module. Provide remote fault diagnosis and recovery functions to help users quickly locate and solve problems and improve the operation and maintenance efficiency.

[0104] Communication module: The communication module can not only achieve seamless connection between various modules inside the device, but also communicate efficiently with other intelligent devices in the power system. This not only promotes information sharing, but also makes remote control and parameter adjustment possible. Adopt the following solutions:

[0105] Core functions of the communication module:

[0106] Design a standardized communication protocol to ensure that various modules inside the system (such as control module, execution module, monitoring module, etc.) can accurately and quickly exchange data and information.

[0107] Adopt high-speed and reliable communication buses (such as CAN bus, Modbus bus, etc.) to achieve seamless connection and data synchronization between modules.

[0108] Support multiple communication protocols (such as IEC 61850, DL / T 860, etc.) to be compatible with different intelligent devices and systems in the power system.

[0109] Provide wired (such as Ethernet, RS-485, etc.) and wireless (such as Wi-Fi, Zigbee, LoRa, etc.) communication interfaces to meet the communication requirements in different scenarios.

[0110] Implement data encryption and authentication functions to ensure information security during communication.

[0111] Optionally, formulate an internal communication protocol to clarify the format, rate, and priority of data exchange between modules.

[0112] Research and select a protocol suitable for external communication in the power system to ensure compatibility and interoperability with other intelligent devices.

[0113] According to the actual requirements and deployment environment of the system, select appropriate communication interfaces and connection methods.

[0114] For wired communication, ensure the stability and anti-interference ability of the communication line; for wireless communication, consider factors such as communication range, power consumption, and spectrum resources.

[0115] Design an efficient and reliable communication bus structure to achieve high-speed data transmission and synchronization between modules within the system.

[0116] Develop a communication gateway to achieve protocol conversion and data forwarding between different communication protocols, ensuring smooth communication between the system and other intelligent devices in the power system.

[0117] Use advanced encryption algorithms (such as AES, RSA, etc.) to encrypt communication data to prevent data leakage and tampering.

[0118] Implement an authentication mechanism (such as digital signature, certificate authentication, etc.) to ensure the legitimacy and credibility of both communication parties.

[0119] Develop remote control and parameter adjustment functions to allow users to perform real-time monitoring, parameter configuration, and fault diagnosis on the device through a remote terminal (such as a PC, mobile phone, etc.).

[0120] Provide a user-friendly graphical interface and rich operation options to reduce the operation difficulty and learning cost for users.

[0121] Comprehensive tests and verifications can also be carried out on the communication module, including functional tests, performance tests, security tests, compatibility tests, etc.

[0122] Optimize and improve the communication module according to the test results to ensure its stability and reliability in the power system.

[0123] In a possible implementation, the control module is the core component of the control system of the entire zinc oxide arrester and has a set of intelligent judgment algorithms built in. This algorithm not only has data processing capabilities but also can achieve accurate intelligent decision-making based on the complexity and variability of the power system.

[0124] The operation of the algorithm is based on the historical data and real-time conditions of the power system. First, it will obtain the real-time data of key parameters such as voltage, current, frequency, and phase of the power system from the monitoring module. At the same time, the algorithm will also use the stored historical data to conduct in-depth learning and analysis on these parameters. By comparing the differences between historical data and real-time data, the algorithm can identify the normal fluctuation range and abnormal fluctuation patterns of the power system, thereby dynamically setting the safety thresholds of key parameters such as voltage and current.

[0125] The setting of these safety thresholds is not fixed but will be continuously adjusted and optimized according to the actual situation of the power system. The algorithm will use machine learning techniques to continuously learn the operating rules of the power system and dynamically adjust the thresholds according to the learning results. This adaptive learning and optimization process ensure that the safety thresholds can always accurately reflect the actual safety needs of the power system, providing a strong guarantee for the stable operation of the power system.

[0126] When the monitoring module detects that any parameter of the power system exceeds the preset safety threshold, the control module will immediately activate the response mechanism. It will quickly analyze the source and nature of the abnormal data to determine whether it is necessary to put the zinc oxide arrester into protection. Once it is confirmed that the arrester needs to be put in, the control module will immediately send an instruction to the execution module, and the execution module will complete the operation of putting in the arrester within a very short time, thus effectively preventing the power system from being damaged due to overvoltage.

[0127] Similarly, when the parameters of the power system return to the normal level, the control module will also quickly make a judgment. It will analyze the real-time data again to confirm that the power system is in a safe and stable state. Once it is confirmed that there is no need to keep the arrester in the input state, the control module will immediately send an instruction to the execution module to cut off the arrester. This operation not only reduces unnecessary energy consumption but also helps to extend the service life of the arrester and reduce the overall maintenance cost of the power system.

[0128] Optionally, the system also has an adaptive adjustment ability and can dynamically adjust according to the operating conditions of the power system. By analyzing the historical data and real-time trends of the power system, the device can automatically adjust the safety threshold and switching strategy to adapt to different operating environments and load conditions. This adaptive adjustment not only improves the accuracy and flexibility of protection but also ensures that the device can perform optimally in various complex situations.

[0129] Moreover, with the help of the communication module, users can remotely monitor the operating status of the device anytime and anywhere. Through a dedicated monitoring interface or a mobile application, users can view the parameters of the power system in real time, including key data such as voltage, current, and frequency. Users can also perform remote control operations, such as adjusting the safety threshold, modifying the switching strategy, or activating emergency protection. In addition, the system supports parameter setting functions, allowing users to customize the device according to actual needs to meet the requirements of different application scenarios.

[0130] It should be noted that the various modules of the above system cooperate with each other to implement the control method of the zinc oxide arrester provided in the embodiments of the present application.

[0131] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0132] Figure 2 Flow schematic of the control method of the zinc oxide arrester provided for the present application Figure 1 , as Figure 2 shown, the method includes:

[0133] S201: Obtain the environmental parameters and operating parameters of the power system during operation.

[0134] In this step, in order to accurately control the switching state of the zinc oxide arrester through intelligent means to optimize the operating efficiency of the power system and extend the service life of the arrester, it is necessary to obtain the environmental parameters and operating parameters of the power system during operation in advance.

[0135] Specifically, the environmental parameters include atmospheric humidity and atmospheric temperature, and the operating parameters include voltage, current, frequency, and phase difference.

[0136] Optionally, the above environmental parameters and operating parameters are merely an example. The environmental parameters may also include wind speed and weather conditions (such as sunny, rainy, snowy, etc.), and the operating parameters may also include power factor, etc. The embodiments of the present application do not make specific limitations, and the environmental parameters and operating parameters can be adjusted according to the actual application scenario.

[0137] It should be noted that the above parameters are monitored in real time by sensors installed at key nodes of the power grid and sent to the central control system through a data transmission network.

[0138] Optionally, high-precision sensors can be selected, such as:

[0139] Voltage sensor: Select a voltage transformer with high sensitivity and wide measurement range, which can accurately capture small voltage fluctuations, including instantaneous overvoltage and undervoltage conditions.

[0140] Current sensor: Deploy a closed-loop Hall sensor, which has the characteristics of high precision and low power consumption, can monitor the current intensity in real time, and effectively distinguish normal load current from abnormal current (such as short-circuit current).

[0141] Frequency and phase sensor: A frequency and phase measurement module integrating digital signal processing (DSP) technology can accurately record the frequency change and phase difference of the power system, which helps to analyze the system stability.

[0142] Exemplarily, in a 500 kV substation, temperature and humidity sensors, wind speed sensors, and voltage and current sensors are installed. These sensors collect data once a minute and send the data to the central control system. At a certain moment, the environmental parameters obtained by the system are: temperature 25°C, humidity 60%, wind speed 2 m / s, and the weather condition is sunny; at the same time, the operating parameters obtained are: grid voltage 502 kV, current 1000 A.

[0143] S202: Generate a dynamic safety threshold based on the pre-acquired historical operating parameters, environmental parameters, and operating parameters.

[0144] In this step, in order to accurately and intelligently control the switching of zinc oxide arresters, after the environmental parameters and operating parameters of the power system during operation are obtained in real time, the dynamic safety threshold is determined.

[0145] Specifically, establish a safety threshold reference value based on historical operating parameters, calculate the dynamic adjustment amount according to the deviation degree between the operating parameters and the reference value, correct the dynamic adjustment amount through environmental parameters to obtain the corrected dynamic adjustment amount, and generate a dynamic safety threshold according to the safety threshold reference value and the corrected dynamic adjustment amount.

[0146] Exemplarily, based on the historical data of the past year, through the processing of the above method, the safety voltage thresholds under different temperatures, humidities, and wind speeds are obtained. For example, under the conditions of a temperature of 25°C, a humidity of 60%, and a wind speed of 2 m / s, the safety voltage threshold predicted by the model is 520 kV.

[0147] S203: When the operating parameters exceed the safety threshold and the environmental parameters meet the preset conditions, then control the zinc oxide arrester to be connected to the power grid.

[0148] In this step, the system monitors the operating parameters in real time and compares them with the dynamic safety threshold.

[0149] When the operating parameters exceed the safety threshold and the environmental parameters (such as temperature, humidity, etc.) meet the preset dangerous conditions, the system automatically controls the zinc oxide arrester to be connected to the power grid.

[0150] Exemplarily, in the above example, when the grid voltage rises to 525 kV (exceeding the safety voltage threshold of 520 kV) and the environmental parameters (temperature, humidity, wind speed) remain within the preset dangerous range, the system automatically controls the zinc oxide arrester to be connected to the power grid to protect the power grid from overvoltage hazards such as lightning strikes.

[0151] An example of the preset conditions is as follows:

[0152] Temperature condition:

[0153] When the ambient temperature exceeds a certain specific value, such as 35°C, the power grid equipment may become more vulnerable due to the high temperature, so lightning protection measures need to be prepared in advance.

[0154] Humidity condition:

[0155] In the case where the humidity exceeds 80%, the moisture in the air may increase the conductivity, thereby increasing the risk of lightning strikes. At this time, if the operating parameters are close to the safety threshold, it may be necessary to connect the arrester.

[0156] Wind speed condition:

[0157] When the wind speed exceeds a certain threshold, such as 10 m / s (equivalent to the strong wind level), it may cause the power grid equipment to sway, increasing the risk of accidents such as wire breaks. At the same time, there may also be thunderstorm weather, so the arrester needs to intervene for protection.

[0158] Weather condition:

[0159] When thunderclouds are detected to be gathering or the weather radar shows that there will be thunderstorm weather soon, even if the current operating parameters do not exceed the safety threshold, it may be necessary to connect the arrester in advance for preparation.

[0160] Combined conditions:

[0161] Sometimes a single condition is not sufficient to trigger the connection of the lightning arrester, and multiple conditions may need to be met simultaneously. For example, both the temperature and humidity exceed a certain threshold, or in the case of simultaneous high wind speed and thunderstorm weather.

[0162] It should be noted that the preset conditions are usually set according to the specific power grid layout, equipment characteristics, and historical data to ensure that the lightning arrester is connected in a timely manner to protect the power grid safety in the most likely situation of being struck by lightning or power grid fluctuations. In actual applications, these conditions may be adjusted and optimized according to the actual situation.

[0163] Optionally, the method further includes:

[0164] S204: When the operating parameters continuously fall below the safety threshold within a preset period, control the disconnection of the zinc oxide lightning arrester connection.

[0165] In this step, to avoid unnecessary energy loss and equipment wear, when the operating parameters continuously fall below the safety threshold for a period of time (such as 30 minutes), the system will automatically disconnect the zinc oxide lightning arrester from the power grid.

[0166] Exemplarily, if the grid voltage continuously falls below 500 kV (below the safety voltage threshold of 520 kV) within 30 minutes, the system automatically disconnects the zinc oxide lightning arrester from the power grid.

[0167] In a possible implementation manner, the method further includes:

[0168] S205: Adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide lightning arrester and the changes in environmental parameters.

[0169] In this step, to improve the switching accuracy and flexibility and extend the service life of the lightning arrester, the system will adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide lightning arrester (such as leakage current, temperature, etc.) and the changes in environmental parameters.

[0170] Specifically, record the operating parameters, environmental parameters, and threshold deviation amounts each time the zinc oxide lightning arrester operates, establish a switching event database, and dynamically update the calculation rules of the safety reference value and the weights of the threshold correction factors by analyzing the switching event database.

[0171] The control method of the zinc oxide arrester provided by the embodiment of the present application obtains the environmental parameters and operating parameters of the power system during operation. Based on the previously obtained historical operating parameters, environmental parameters and operating parameters, a dynamic safety threshold is generated. When the operating parameters exceed the safety threshold and the environmental parameters meet the preset conditions, the zinc oxide arrester is controlled to be connected to the power grid. When the operating parameters are continuously lower than the safety threshold within a preset period, the connection of the zinc oxide arrester is controlled to be cut off. According to the operating state of the zinc oxide arrester and the change of the environmental parameters, the generation strategy of the dynamic safety threshold is adaptively adjusted. Through the above method, not only can the power grid be effectively protected from the harm of overvoltage such as lightning strikes, the stability and safety of the power grid are improved, but also energy loss and equipment wear are reduced, and the operation and maintenance cost is lowered.

[0172] Figure 3 It is a schematic flow of the control method of the zinc oxide arrester provided by the present application Figure 2 , such as Figure 3 shown. On the basis of the above embodiment, step S202 specifically includes:

[0173] S301: Establish a safety threshold reference value based on historical operating parameters.

[0174] In this step, first, the system collects and analyzes the operating parameters of the power grid over a past period (such as one year or longer).

[0175] Using statistical methods such as mean, median, standard deviation, etc., the historical data is processed to determine a safety threshold reference value representing the normal operating state.

[0176] Optionally, the normal operating data of the power grid in the past few seconds (excluding abnormal event periods such as lightning strikes and short circuits) can also be extracted, and the sliding average filter (for example, window = 1 hour) is used to eliminate random fluctuations. The data set is divided by season (spring / summer / autumn / winter) and independently modeled.

[0177] Exemplarily, the voltage probability density distribution is calculated for summer data, and the 99% quantile value is taken as the reference value. For winter data, the correlation between the load rate and voltage is analyzed, and a linear regression model is established.

[0178] It should be noted that the above reference value reflects the stability and safety requirements of the power grid under normal operating conditions.

[0179] S302: Calculate the dynamic adjustment amount according to the deviation degree between the operating parameters and the reference value.

[0180] In this step, the system monitors the current operating parameters in real time, compares them with the safety threshold reference value, and calculates the deviation degree.

[0181] The deviation degree can be calculated by the difference between the current operating parameters and the reference value, or the ratio of the difference to the reference value, etc.

[0182] According to the magnitude of the deviation degree, the system will calculate a dynamic adjustment amount to adjust the safety threshold to better reflect the current operating state of the power grid.

[0183] Exemplarily, if the current power grid voltage is 510 kV, while the reference value is 505 kV, the deviation degree is 5 kV. The system can calculate a dynamic adjustment amount based on this deviation degree, such as 50% of the deviation degree, that is, 2.5 kV.

[0184] Optionally, the dynamic adjustment amount can also be calculated based on the sensitivity coefficient and the real-time monitored data. For example, taking voltage as an example, the calculation formula can be designed as:

[0185]

[0186] where represents the sensitivity coefficient, which can generally be defaulted to 1.2, represents the voltage value of real-time monitoring, represents the reference value obtained by the calculation in the above steps.

[0187] In a possible implementation manner, when rises rapidly, a derivative enhancement strategy can be adopted for k, for example: .

[0188] S303: Correct the dynamic adjustment amount through environmental parameters to obtain the corrected dynamic adjustment amount.

[0189] In this step, the system will also consider environmental parameters such as temperature, humidity, wind speed, etc. These parameters may affect the stability and safety of the power grid.

[0190] According to these environmental parameters, the system will correct the previously calculated dynamic adjustment amount. For example, under high temperature or high humidity conditions, power grid equipment may be more vulnerable, so the adjustment amount of the safety threshold needs to be increased.

[0191] The correction algorithm can be based on rules, fuzzy logic or machine learning models, etc. to ensure that the corrected dynamic adjustment amount is more in line with the actual situation.

[0192] Specifically, through environmental parameters, a threshold correction factor is calculated, and the dynamic adjustment amount is corrected based on the threshold correction factor.

[0193] Exemplarily, assume that the current ambient temperature is 38°C, which belongs to a high-temperature environment. According to the preset rules or models, the system decides to increase the dynamic adjustment amount in the high-temperature environment, so the original adjustment amount of 2.5 kV is increased to 3 kV.

[0194] S304: Generate a dynamic safety threshold based on the safety threshold reference value and the corrected dynamic adjustment amount.

[0195] In this step, the system adds (or subtracts, depending on the sign of the adjustment amount) the safety threshold reference value and the corrected dynamic adjustment amount to generate a dynamic safety threshold.

[0196] This dynamic safety threshold can more accurately reflect the safety and stability requirements of the power grid under the current operating parameters and external environmental conditions.

[0197] The control method of the zinc oxide arrester provided by the embodiment of the present application establishes a safety threshold reference value based on historical operating parameters, calculates the dynamic adjustment amount according to the deviation degree between the operating parameters and the reference value, corrects the dynamic adjustment amount through environmental parameters to obtain the corrected dynamic adjustment amount, and generates a dynamic safety threshold based on the safety threshold reference value and the corrected dynamic adjustment amount. Through the above method, the system can more flexibly respond to the changes in the operating state of the power grid and the external environment, improve the safety and stability of the power grid, and reduce the subjectivity and error of manual setting, making the dynamic safety threshold closer to the actual situation and improving the accuracy of early warning and protection.

[0198] Figure 4 It is a schematic flow of the control method of the zinc oxide arrester provided by the present application Figure 3 , as Figure 4 shown, on the basis of the above embodiment, step S303 specifically includes:

[0199] S401: Calculate the threshold correction factor through environmental parameters.

[0200] In this step, according to the environmental parameters, the system will use a preset algorithm or model to calculate a threshold correction factor. This factor is a numerical value used to reflect the influence degree of the current environment on the power grid safety threshold.

[0201] The calculation of the threshold correction factor can be based on historical data, experimental data or expert experience, and obtained through methods such as regression analysis and machine learning. For example, high temperature may cause the performance of the equipment to decline, so the threshold correction factor calculated in the high-temperature environment may be greater than 1.

[0202] Exemplarily, assume that the reference temperature is 40 degrees (rated operating temperature of the arrester), and the correction amount driven by the difference between the actual temperature and the reference temperature can be designed as:

[0203]

[0204] Among them, represents the temperature threshold correction factor, T represents the actual temperature, represents the reference temperature.

[0205] High temperature accelerates the aging of the lightning arrester → reduces the protection sensitivity ( >1 → increases the threshold).

[0206] Low temperature improves the insulation strength → allows the threshold to be appropriately reduced ( <1 → reduces the threshold).

[0207] S402: Correct the dynamic adjustment amount based on the threshold correction factor.

[0208] In this step, after obtaining the threshold correction factor, the system will apply it to the previously calculated dynamic adjustment amount for correction.

[0209] The correction method is usually to multiply the dynamic adjustment amount by the threshold correction factor. If the correction factor is greater than 1, the dynamic adjustment amount will increase; if the correction factor is less than 1, the dynamic adjustment amount will decrease.

[0210] The corrected dynamic adjustment amount will more accurately reflect the impact of the current environment on the safety of the power grid, thus ensuring that the setting of the safety threshold is more reasonable.

[0211] The control method of the zinc oxide lightning arrester provided by the embodiment of the present application calculates the threshold correction factor through environmental parameters and corrects the dynamic adjustment amount based on the threshold correction factor. By introducing the threshold correction factor, the system can more accurately adjust the safety threshold of the power grid according to the current environmental parameters, improving the safety and stability of the power grid under different environmental conditions. The application of the threshold correction factor makes the setting of the dynamic safety threshold more flexible and accurate, and can adapt to various complex and changeable environmental conditions. By correcting the dynamic adjustment amount in real time, the system can timely discover and respond to potential safety risks, thus ensuring the stable operation of the power grid and power supply safety.

[0212] Figure 5 is a schematic flow chart of the control method of the zinc oxide lightning arrester provided by the present application Figure 4 , as Figure 5 shown, on the basis of the above embodiment, step S205 specifically includes:

[0213] S501: Record the operating parameters, environmental parameters and threshold deviation amount each time the zinc oxide lightning arrester operates, and establish a switching event database.

[0214] In this step, the data recording includes:

[0215] Operating parameters: Include key electrical parameters such as current, voltage, power, etc. when the arrester operates. These parameters can reflect the working state of the arrester during switching.

[0216] Environmental parameters: Such as temperature, humidity, atmospheric pressure, etc. These environmental factors may affect the performance and operating characteristics of the arrester.

[0217] Threshold deviation: Record the deviation between the actual threshold and the set threshold when the arrester operates. This helps analyze the performance changes and potential problems of the arrester.

[0218] Create a database specifically for storing the switching event data of zinc oxide arresters to ensure the structured storage and efficient retrieval of data.

[0219] The database design should consider the integrity, security, and scalability of data to adapt to the future growth of data volume and the changes in analysis requirements.

[0220] Exemplarily, assume that during a certain lightning weather, the zinc oxide arrester operates successfully. At this time, the system will automatically record the following data:

[0221] Operating time: 2025-03-11 11:45:00

[0222] Operating current: 2000A

[0223] Operating voltage: 1000V

[0224] Ambient temperature: 25°C

[0225] Ambient humidity: 60%

[0226] Threshold deviation: +5% (the actual operating threshold is 5% higher than the set threshold)

[0227] These data will be automatically stored in the switching event database for subsequent analysis.

[0228] S502: Dynamically update the calculation rules of the safety reference value and the weight of the threshold correction factor by analyzing the switching event database.

[0229] In this step, use data analysis tools to deeply mine and analyze the data in the switching event database, and identify the change trends and potential risks of the arrester performance.

[0230] By comparing the arrester operating data under different environmental conditions, analyze the influence of environmental factors on the arrester performance. Based on the data analysis results, re-evaluate and adjust the calculation rules of the safety reference value to ensure that it is more in line with the actual performance state of the current arrester.

[0231] For example, if it is found that the performance of the lightning arrester deteriorates in a high-temperature environment, a temperature correction factor needs to be added when calculating the safety reference value.

[0232] According to the data analysis results, optimize the weight distribution of the threshold correction factor to improve the accuracy and reliability of the lightning arrester operation.

[0233] For example, if the data shows that a certain type of environmental factor has a greater impact on the lightning arrester operation threshold, the weight of this type of environmental factor can be increased accordingly.

[0234] Exemplarily, the threshold deviation distribution under different load rates can be statistically analyzed, a load-reference value correction curve can be established, the K-means clustering can be used to identify the season-sensitive deviation patterns, the seasonal weights can be updated, a loss function can be defined, and the weights of the correction factors can be adjusted through backpropagation.

[0235] The control method of the zinc oxide lightning arrester provided by the embodiment of the present application records the operating parameters, environmental parameters, and threshold deviation amounts each time the zinc oxide lightning arrester operates, establishes a switching event database, and dynamically updates the calculation rule of the safety reference value and the weights of the threshold correction factors by analyzing the switching event database. Through the above method, not only the accuracy of the lightning arrester performance monitoring is improved, but also the security of the system is enhanced.

[0236] Figure 6 It is a schematic structural diagram of the control device of the zinc oxide lightning arrester provided by the present application. As Figure 6 shown, the control device 600 of the zinc oxide lightning arrester provided by this embodiment includes:

[0237] An acquisition module 601, configured to acquire the environmental parameters and operating parameters of the power system during operation.

[0238] A generation module 602, configured to generate a dynamic safety threshold based on the previously acquired historical operating parameters, environmental parameters, and operating parameters.

[0239] An access module 603, configured to control the zinc oxide lightning arrester to be connected to the power grid when the operating parameters exceed the safety threshold and the environmental parameters meet the preset conditions.

[0240] In a possible implementation manner, the control device 600 of the zinc oxide lightning arrester further includes:

[0241] A cut-off module 604, configured to control the disconnection of the zinc oxide lightning arrester connection when the operating parameters continuously fall below the safety threshold within a preset period.

[0242] In a possible implementation manner, the control device 600 of the zinc oxide lightning arrester further includes:

[0243] An adjustment module 605 is configured to adaptively adjust the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide lightning arrester and the changes in environmental parameters.

[0244] In a possible implementation manner, the environmental parameters include atmospheric humidity and atmospheric temperature, and the operating parameters include voltage, current, frequency, and phase difference.

[0245] In a possible implementation manner, the generation module 602 is specifically configured to:

[0246] Establish a safety threshold reference value based on historical operating parameters;

[0247] Calculate the dynamic adjustment amount according to the deviation degree between the operating parameters and the reference value;

[0248] Correct the dynamic adjustment amount through the environmental parameters to obtain the corrected dynamic adjustment amount;

[0249] Generate a dynamic safety threshold according to the safety threshold reference value and the corrected dynamic adjustment amount.

[0250] In a possible implementation manner, when the generation module 602 corrects the dynamic adjustment amount through the environmental parameters, it specifically includes:

[0251] Calculate a threshold correction factor through the environmental parameters;

[0252] Correct the dynamic adjustment amount based on the threshold correction factor.

[0253] In a possible implementation manner, the adjustment module 605 is specifically configured to:

[0254] Record the operating parameters, environmental parameters, and threshold deviation amounts when the zinc oxide lightning arrester operates each time, and establish a switching event database;

[0255] Dynamically update the calculation rule of the safety reference value and the weight of the threshold correction factor by analyzing the switching event database.

[0256] The control device of the zinc oxide lightning arrester provided in this embodiment can execute the control method of the zinc oxide lightning arrester provided in the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here in this embodiment.

[0257] Figure 7 It is a schematic structural diagram of the electronic device provided in this application. As Figure 7 shown, the electronic device 700 provided in this embodiment includes: at least one processor 701 and a memory 702. Optionally, the device 700 further includes a communication component 703. Among them, the processor 701, the memory 702, and the communication component 703 are connected through a bus 704.

[0258] In a specific implementation process, at least one processor 701 executes computer-executable instructions stored in a memory 702, so that the at least one processor 701 executes the above-mentioned method.

[0259] For the specific implementation process of the processor 701, reference may be made to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, so they will not be elaborated here in this embodiment.

[0260] This application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the processor executes the computer-executable instructions, the above-mentioned method is implemented.

[0261] This application also provides a computer program product, including a computer program, which implements the above-mentioned method when executed by a processor.

[0262] Finally, it should be noted that: After considering the specification and practicing the invention disclosed here, those skilled in the art will easily think of other implementation schemes of the present invention. The present invention aims to cover any variations, uses or adaptations of the present invention. These variations, uses or adaptations follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structure described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A control method for a zinc oxide lightning arrester, characterized in that, Including: Obtain the environmental parameters and operating parameters of the power system during operation; Generate a dynamic safety threshold based on the pre-obtained historical operating parameters, the environmental parameters, and the operating parameters; When the operating parameter exceeds the safety threshold and the environmental parameter meets the preset condition, control the zinc oxide arrester to be connected to the power grid.

2. The method according to claim 1, wherein The method further includes: When the operating parameter continuously falls below the safety threshold within a preset period, control to cut off the connection of the zinc oxide arrester.

3. The method according to claim 1 or 2, characterized in that, The method further includes: According to the operating state of the zinc oxide arrester and the change of the environmental parameter, adaptively adjust the generation strategy of the dynamic safety threshold.

4. The method according to any one of claims 1-3, characterized in that, The environmental parameter includes atmospheric humidity and atmospheric temperature, and the operating parameter includes voltage, current, frequency, and phase difference.

5. The method according to claim 4, characterized in that, The generating a dynamic safety threshold based on the pre-obtained historical operating parameters, the environmental parameters, and the operating parameters includes: Establish a safety threshold reference value based on the historical operating parameters; Calculate the dynamic adjustment amount according to the deviation degree between the operating parameter and the reference value; Correct the dynamic adjustment amount through the environmental parameter to obtain the corrected dynamic adjustment amount; Generate the dynamic safety threshold according to the safety threshold reference value and the corrected dynamic adjustment amount.

6. The method according to claim 5, wherein The correcting the dynamic adjustment amount through the environmental parameter includes: Calculate a threshold correction factor through the environmental parameter; Correct the dynamic adjustment amount based on the threshold correction factor.

7. The method according to claim 6, wherein The adaptively adjusting the generation strategy of the dynamic safety threshold according to the operating state of the zinc oxide arrester and the change of the environmental parameter includes: Record the operating parameters, environmental parameters, and threshold deviation amount each time the zinc oxide arrester operates, and establish a switching event database; Dynamically update the calculation rule of the safety reference value and the weight of the threshold correction factor by analyzing the switching event database.

8. A control device for a zinc oxide lightning arrester, characterized in that, The device includes: An acquisition module for acquiring the environmental parameters and operating parameters of the power system during operation; A generation module for generating a dynamic safety threshold based on the pre-obtained historical operating parameters, the environmental parameters, and the operating parameters; An access module for controlling the zinc oxide arrester to be connected to the power grid when the operating parameter exceeds the safety threshold and the environmental parameter meets the preset condition.

9. An electronic device, characterized in that, Including: A memory and a processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory, so that the processor executes the control method of the zinc oxide arrester according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, Computer execution instructions are stored in the computer-readable storage medium, and when the computer execution instructions are executed by the processor, they are used to implement the control method of the zinc oxide arrester according to any one of claims 1-7.

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