A data-driven intelligent measurement circuit breaker control method

Abstract

The present application relates to the technical field of electric power operation and maintenance, and provides a control method of an intelligent measurement circuit breaker based on data driving, aiming at improving the efficiency and safety of electric power system operation and maintenance, by acquiring real-time and historical electric power system operation data, combining with user demand, automatically dividing monitoring partitions and distributing measurement circuit breakers. The circuit breaker monitors overload and short-circuit protection objects in the partition in real time according to the measurement task, and simulates the operation of the circuit breaker by using a mirror virtual system, improves the accuracy of protection action, verifies the correctness in the virtual system, and executes the protection action in real time, effectively preventing the expansion of faults. The present application realizes fine management of the electric power system, improves the predictive and maintenance capabilities, and reduces the operation and maintenance cost.

Description

Technical Field

[0001] This invention relates to the field of power operation and maintenance technology, and in particular to a control method for a data-driven intelligent measurement circuit breaker. Background Technology

[0002] Intelligent measurement circuit breakers not only provide overload and short-circuit protection like traditional circuit breakers, but also incorporate intelligent measurement technology. Through built-in sensors such as current transformers and voltage transformers, intelligent measurement circuit breakers monitor parameters such as current, voltage, and power in the power system in real time, transmitting this data to a host computer for processing and analysis. When an abnormality is detected (such as overload or short circuit), the intelligent measurement circuit breaker can quickly disconnect the circuit, preventing the fault from escalating and ensuring the safe and stable operation of the power system.

[0003] The control method of intelligent circuit breakers is mainly based on their integrated advanced sensing, data processing, and communication technologies. Leveraging artificial intelligence and big data analytics, intelligent circuit breakers can automatically learn and adapt to the load characteristics of the power system, optimize operating parameters, and improve energy efficiency. For example, they can predict future load changes based on historical data and adjust circuit breaker settings in advance to cope with potential overloads. Through analysis of operating data, intelligent circuit breakers can also perform predictive maintenance. When certain parameters deviate from the normal range, the intelligent circuit breaker will issue an early warning, prompting the user to perform maintenance or replace components, thereby preventing sudden failures.

[0004] Intelligent circuit breakers (ICBs) rely on artificial intelligence and big data analytics to automatically learn and adapt to the load characteristics of power systems. However, in practical applications, data-driven ICB control methods face challenges. When monitoring renewable energy loads, including residential solar PV systems, energy storage stations, and charging stations, ICBs continuously process both new and old data. If errors occur during data processing, the power system may malfunction. For example, data inconsistency is a common problem; discrepancies may exist between real-time and historical data, or between data collected from different sensors, leading to misjudgments in protection decisions. Furthermore, data loss is another concern. Sensor malfunctions, communication interruptions, or other reasons can cause data loss, affecting the comprehensive analysis and accurate judgment of the ICB. Meanwhile, new energy loads may generate significant data fluctuations and noise, such as the intermittency of wind or solar power. If this noise data is not effectively processed, it can interfere with the normal operation of intelligent measurement circuit breakers. If these technical challenges are not addressed promptly, they will affect the safe and stable operation of the power system, for example, causing circuit breakers to fail to operate accurately at critical moments, thus leading to power outages or accidents. To avoid this situation, this invention provides a data-driven control method for intelligent measurement circuit breakers. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a data-driven control method for intelligent measurement circuit breakers, solving the following problems;

[0006] In existing power systems, intelligent measurement circuit breakers combine the overload and short-circuit protection functions of traditional circuit breakers with intelligent measurement technology. They monitor power system parameters in real time through built-in sensors. However, existing data-driven control methods may produce errors in data processing, which can seriously affect the normal operation of the power system.

[0007] To address this issue, this invention provides a data-driven control method for intelligent measurement circuit breakers. First, by acquiring real-time data, historical data, system status data, and user demand data from the power system, a foundation is laid for subsequent analysis and processing. Based on the user demand data, protected objects and monitoring zones are determined. Relevant information is retrieved using a geographic information system or equipment management system, and the power system is divided into several monitoring zones, with measurement circuit breakers assigned to each zone.

[0008] In terms of generating measurement tasks and real-time monitoring, the intelligent measurement circuit breaker generates specific measurement tasks based on user needs data, including monitoring objects, parameters, thresholds, and conditions. Then, the measurement circuit breaker monitors the protected objects in the corresponding monitoring zone in real time, collects and processes data, and improves the accuracy and timeliness of the data.

[0009] Furthermore, this invention also establishes a mirrored virtual circuit breaker simulation system, which is constructed based on the hardware configuration and software algorithm of the actual circuit breaker being measured. It can input real-time monitoring data into the virtual system to simulate the judgment and protection process of the circuit breaker. By generating simulated execution commands and verifying them in the virtual system, the accuracy of the system operation status and command execution results can be improved. If the virtual system is operating normally and the command execution results meet expectations, the simulated execution commands are converted into real-time execution commands and sent to the actual circuit breaker for execution.

[0010] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows:

[0011] This invention provides a data-driven control method for an intelligent measurement circuit breaker, comprising:

[0012] Step S101: Obtain power system operation data, which includes real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data.

[0013] Step S102: Based on user demand data, determine the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker, retrieve the location information of the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker in the power system and the line connection relationship information in the power system, and use the location information and the line connection relationship information in the power system as the basis for dividing the monitoring area of ​​the intelligent measuring circuit breaker to obtain the monitoring zone corresponding to the intelligent measuring circuit breaker.

[0014] Step S103: Load user demand data into the intelligent measurement circuit breaker. The intelligent measurement circuit breaker generates measurement tasks based on the user demand data. Establish a matching relationship between the measurement tasks and the monitoring zones corresponding to the measurement circuit breaker. The intelligent measurement circuit breaker monitors the overload protection objects and short circuit protection objects of the corresponding monitoring zones in real time according to the measurement tasks, and obtains real-time monitoring data of the measurement circuit breaker.

[0015] Step S104: Establish a matching relationship between the measurement task and the monitoring zone corresponding to the measurement circuit breaker, establish a mirror virtual measurement circuit breaker simulation system, substitute the real-time monitoring data of the measurement circuit breaker into the mirror virtual measurement circuit breaker simulation system, and generate the measurement circuit breaker simulation execution command.

[0016] Step S105: Execute the circuit breaker simulation command in the circuit breaker simulation system to obtain the circuit breaker simulation command execution result. If the mirrored virtual circuit breaker simulation system is running normally in the circuit breaker simulation command execution result, convert the circuit breaker simulation command corresponding to the circuit breaker simulation command execution result into a real-time circuit breaker execution command. The real-time circuit breaker execution command includes overload protection action or short-circuit protection action.

[0017] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S101 includes:

[0018] Determine the type of power system operation data to be acquired. The types of power system operation data include real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data.

[0019] Configure data acquisition equipment according to the data acquisition range. The data acquisition equipment includes current sensors, voltage sensors, and power meters.

[0020] Using the configured data acquisition equipment, the current, voltage, and power of the power system are collected in real time.

[0021] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S101 includes:

[0022] Retrieve historical operating data of the power system stored in the database. The historical operating data includes historical current, historical voltage, historical power data, and historical status records of the system.

[0023] Real-time monitoring of the power system status, which includes the operating status of equipment and the connection status of lines;

[0024] Acquire user demand data, which includes users' monitoring needs for the power system and the settings for protected objects.

[0025] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S102 includes:

[0026] Read and analyze user demand data, and based on the user demand data, identify the objects in the power system that require overload protection and short circuit protection from the user;

[0027] Using the power system's geographic information system or equipment management system, retrieve the location information of objects in the power system that require overload protection and short-circuit protection;

[0028] Confirm the coordinates, area, and relative position to other equipment or lines of each object in the power system that requires overload and short-circuit protection.

[0029] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S102 includes:

[0030] By analyzing the power system database, we can determine the line connection relationships between objects in the power system that require overload protection and short-circuit protection.

[0031] Identify lines that are directly connected to or indirectly affected by objects in the power system that require overload and short-circuit protection, as well as information on the line's route and load status.

[0032] Based on the location information and line connection relationship of objects requiring overload and short-circuit protection in the power system, the dividing criteria for the monitoring area of ​​intelligent measuring circuit breakers are set.

[0033] Based on the established dividing criteria, the power system is divided into several monitoring zones.

[0034] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S102 includes:

[0035] Each monitoring zone includes one or more protected objects. Based on the division of the monitoring zones, a corresponding measuring circuit breaker is assigned to each zone.

[0036] Each measuring circuit breaker is used to monitor the protected object in its corresponding monitoring zone, and to execute overload protection actions and short-circuit protection actions for the protected object in the monitoring zone.

[0037] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S103 includes:

[0038] The intelligent measurement circuit breaker automatically generates corresponding measurement tasks based on the loaded user demand data;

[0039] The measurement task should clearly include the object to be monitored, the parameters to be monitored, and the thresholds and conditions to be monitored. The objects to be monitored include equipment and lines, the parameters to be monitored include current, voltage and power, the thresholds to be monitored include overload thresholds, and the conditions to be monitored include short circuit judgment conditions.

[0040] Establish a clear matching relationship between the generated measurement tasks and the corresponding monitoring zones.

[0041] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S103 includes:

[0042] Based on the established matching relationship, the measuring circuit breaker monitors the overload protection objects and short circuit protection objects in the corresponding monitoring zone in real time;

[0043] By utilizing the sensors and data processing modules built into the power system, the current, voltage, and power parameters of the monitored objects are collected in real time.

[0044] The collected data is processed in real time to determine whether the monitored object is in a normal state or whether the protection condition has been triggered.

[0045] The real-time monitored data is recorded in the storage module of the intelligent measuring circuit breaker, and the real-time monitoring data and anomaly handling results are fed back to the power system control center or user terminal through the communication module.

[0046] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S104 includes:

[0047] Confirm the matching relationship between the measurement task and the monitoring zone corresponding to the measured circuit breaker, and construct the corresponding mirror virtual measured circuit breaker simulation system based on the actual measured circuit breaker's hardware configuration, software algorithm and configuration parameters;

[0048] A stable data interface is established between the virtual system and the actual measured circuit breaker. Real-time monitoring data, including real-time current, real-time voltage, and real-time power data, obtained from the actual measured circuit breaker are then input into the mirrored virtual measured circuit breaker simulation system.

[0049] Initialize the simulation environment in the virtual system, including setting power system parameters and simulating line connection status. Based on the measurement tasks and real-time monitoring data, execute the corresponding simulation tasks in the mirrored virtual measurement circuit breaker simulation system.

[0050] By utilizing the preset algorithms and logic in the virtual system, real-time monitoring data is analyzed and processed to simulate the judgment and protection process of the actual circuit breaker.

[0051] Based on the execution results of the simulation task, a simulation execution command for the measurement circuit breaker is generated, which includes the corresponding action instructions for overload protection and short circuit protection.

[0052] Furthermore, in the data-driven intelligent measurement circuit breaker control method provided by the present invention, step S105 includes:

[0053] Based on the execution results of the circuit breaker measurement simulation command, determine whether the mirror virtual circuit breaker measurement simulation system is operating normally.

[0054] If the mirrored virtual circuit breaker simulation system is operating normally and the execution results of the simulation commands meet expectations, proceed to the next step.

[0055] After confirming that the mirror virtual measurement circuit breaker simulation system is operating normally, the execution result of the measurement circuit breaker simulation command is converted into the real-time measurement circuit breaker execution command.

[0056] The converted real-time measurement circuit breaker execution command is sent to the actual measurement circuit breaker.

[0057] The beneficial effects of this invention are mainly reflected in the following aspects:

[0058] Improving the accuracy and reliability of data processing: By introducing a mirrored virtual circuit breaker simulation system, real-time monitoring data can be simulated without affecting the actual operation of the power system. This effectively avoids the risk of power system failures caused by errors in actual data processing and improves the accuracy and reliability of data processing.

[0059] Enhancing the safety and stability of power systems: Real-time monitoring of the power system's operating status and rapid circuit disconnection upon detection of abnormalities (such as overloads and short circuits) prevents fault escalation, thereby ensuring the safe and stable operation of the power system. Thorough testing of circuit breaker operation in a simulated environment reduces the risk of erroneous execution in actual operation, further enhancing the safety of the power system.

[0060] Personalized and refined management: Overload and short-circuit protection targets are set according to user needs data to meet the personalized protection requirements of the power system. The power system is divided into multiple monitoring zones, and corresponding intelligent measuring circuit breakers are assigned to each zone, enabling refined management of the power system and improving resource utilization efficiency.

[0061] Enhanced predictability and maintainability: By combining historical and real-time operating data, intelligent measurement circuit breakers can predict future load changes and adjust settings in advance to cope with potential overloads, achieving predictive protection. When certain parameters are detected to deviate from the normal range, the intelligent measurement circuit breaker can issue an early warning, prompting the user to perform maintenance or replace components, thus preventing sudden failures.

[0062] Reduced operation and maintenance costs: Precise monitoring and protection strategies reduce power outage time and repair costs caused by faults. Zoned management and personalized settings improve system flexibility and adaptability, reducing unnecessary resource waste.

[0063] In summary, this invention, through various technical means such as data acquisition, simulation verification, real-time monitoring, and zone management, not only improves the operational accuracy and reliability of intelligent measurement circuit breakers, but also enhances the safety, stability, and predictive maintenance capabilities of power systems, reduces operation and maintenance costs, and provides an effective solution for the operation and maintenance of smart grids. Attached Figure Description

[0064] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0065] Figure 1 This is a schematic flowchart of a control method for a data-driven intelligent measurement circuit breaker provided in an embodiment of the present invention. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings.

[0067] To better understand the purpose of this invention, the invention will now be described in further detail.

[0068] Please see Figure 1 This invention provides a data-driven control method for intelligent measurement circuit breakers, comprising:

[0069] Step S101: Obtain power system operation data, which includes real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data.

[0070] In step S101, acquiring power system operation data is the foundation and starting point of the entire control method. Step S101 covers various data types generated during power system operation, as follows:

[0071] Real-time current data: Real-time current data reflects the current status of each line or device in the power system and is an important basis for judging whether the system is overloaded or has other current anomalies.

[0072] Real-time voltage data: Voltage is another key parameter in a power system. Real-time voltage data can display the voltage status at various points in the system, helping to determine whether the voltage is stable and whether there are any abnormalities.

[0073] Real-time power data: Power data provides information on the efficiency of energy conversion and utilization in the power system, which is of great significance for assessing the system's operating status, predicting future load changes, and optimizing operating parameters.

[0074] Historical operating data: Historical data records the past operating conditions of the power system, including historical current, voltage, and power data, as well as historical system status records. Historical operating data is helpful for analyzing long-term system operating trends, predicting future conditions, and identifying potential problems.

[0075] System status data: System status data includes the operating status of equipment (such as on / off status), the connection status of lines, etc.

[0076] User demand data: User demand data reflects users' specific monitoring needs and protection requirements for the power system. This includes users' monitoring needs for specific equipment or lines, the setting of protection objects, etc., and is an important basis for smart measuring circuit breakers to generate measurement tasks and divide monitoring zones.

[0077] To obtain power system operation data, appropriate data acquisition equipment, such as current sensors, voltage sensors, and power meters, needs to be configured to collect real-time current, voltage, and power data of the power system. Simultaneously, a database needs to be established to store historical operation data, and a real-time monitoring mechanism is required to obtain current system status data and user demand data.

[0078] Step S102: Based on user demand data, determine the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker, retrieve the location information of the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker in the power system and the line connection relationship information in the power system, and use the location information and the line connection relationship information in the power system as the basis for dividing the monitoring area of ​​the intelligent measuring circuit breaker to obtain the monitoring zone corresponding to the intelligent measuring circuit breaker.

[0079] In step S102, the main task is to determine the overload protection and short-circuit protection targets of the smart circuit breakers based on user demand data, and further divide the monitoring areas using the location information and line connection information of these targets in the power system, thereby obtaining the monitoring zone corresponding to each smart circuit breaker. The following is a detailed analysis of this step:

[0080] Analyzing user requirement data: First, it is necessary to read and analyze user requirement data, which includes the specific requirements of users for overload protection and short-circuit protection of specific equipment or lines in the power system.

[0081] Identify the protected objects: Based on user demand data, identify which equipment or lines in the power system require overload and short-circuit protection. These objects will become the key targets for monitoring and protection by the intelligent measurement circuit breaker.

[0082] Location information retrieval: Using the power system's Geographic Information System (GIS) or equipment management system, retrieve the location information of the protected object within the power system. Location information includes the coordinates of each protected object, its region, and its relative position to other equipment or lines.

[0083] Analyze line connection relationships: Through the power system database, analyze the line connection relationships between these protected objects, identify the lines that are directly connected to or indirectly affected by the protected objects, and obtain key information such as the route and load status of these lines.

[0084] Establish monitoring area division criteria: Based on the location information of the protected objects and the line connection relationships, establish the division criteria for the monitoring areas of intelligent measuring circuit breakers. The criteria include various factors such as the distribution density of the protected objects, the complexity of the lines, and the load conditions.

[0085] Monitoring Zone Division: Based on the established division criteria, the power system is divided into several monitoring zones. Each zone contains one or more protected objects, and corresponding intelligent measurement circuit breakers are assigned to each zone according to actual needs.

[0086] Assignment of measurement circuit breakers: Assign one or more intelligent measurement circuit breakers to each monitoring zone. These circuit breakers will be responsible for real-time monitoring of overload and short-circuit protected objects within that zone. The allocation process must consider factors such as the circuit breaker's performance parameters, monitoring range, and compatibility with other systems.

[0087] Through the steps described above, the intelligent measurement circuit breaker can accurately divide monitoring areas according to user needs and assign appropriate circuit breakers to each area for real-time monitoring and protection. This not only improves the accuracy of monitoring and protection but also helps optimize circuit breaker resource allocation and reduce operating costs.

[0088] Step S103: Load user demand data into the intelligent measurement circuit breaker. The intelligent measurement circuit breaker generates measurement tasks based on the user demand data. Establish a matching relationship between the measurement tasks and the monitoring zones corresponding to the measurement circuit breaker. The intelligent measurement circuit breaker monitors the overload protection objects and short circuit protection objects of the corresponding monitoring zones in real time according to the measurement tasks, and obtains real-time monitoring data of the measurement circuit breaker.

[0089] In step S103, the control method of the present invention further refines the process of how the intelligent measurement circuit breaker performs specific operations based on user demand data. The following is a detailed analysis of this step:

[0090] Loading User Requirement Data: First, the user requirement data is loaded into the smart measurement circuit breaker. This data includes the user's monitoring needs for specific equipment or lines in the power system, the settings for protected objects, etc. This user requirement data forms the basis for the circuit breaker's subsequent operations.

[0091] Measurement task generation: The intelligent measurement circuit breaker automatically generates corresponding measurement tasks based on the loaded user demand data. The task clearly defines the object to be monitored (such as a specific device or line), the parameters to be monitored (such as current, voltage, power, etc.), and the monitoring thresholds and conditions (such as overload thresholds, short circuit judgment conditions, etc.).

[0092] Establish matching relationships: Establish explicit matching relationships between the generated measurement tasks and the corresponding monitoring zones. This means that each measurement task clearly specifies the specific zone that needs to be monitored, enabling the circuit breaker to accurately monitor the zone it is responsible for in real time.

[0093] Real-time monitoring: Based on the established matching relationship, the intelligent measuring circuit breaker monitors the overload protection and short-circuit protection objects within the corresponding monitoring zone in real time. Utilizing the power system's built-in sensors (such as current transformers and voltage transformers) and data processing modules, it collects real-time data on the current, voltage, and power parameters of the monitored objects.

[0094] Data processing and judgment: The collected data is processed in real time, including preprocessing steps such as filtering and calibration to remove noise and interference. Then, based on preset thresholds and conditions, it is determined whether the monitored object is in a normal state or has triggered protection conditions (such as overload, short circuit, etc.).

[0095] Recording and Feedback: Real-time monitored data is recorded in the storage module of the intelligent measuring circuit breaker for subsequent analysis and retrieval. Simultaneously, real-time monitoring data and anomaly handling results are promptly fed back to the power system control center or user terminal via the communication module, enabling users or system administrators to promptly grasp the operating status of the power system and take appropriate measures.

[0096] Through the above steps, the intelligent measurement circuit breaker can accurately generate and execute measurement tasks based on user demand data, and monitor overload and short-circuit protection objects within a specific monitoring zone in real time. This not only improves the accuracy and efficiency of monitoring, but also helps to promptly detect and handle abnormal situations in the power system, ensuring the safe and stable operation of the power system.

[0097] Step S104: Establish a matching relationship between the measurement task and the monitoring zone corresponding to the measurement circuit breaker, establish a mirror virtual measurement circuit breaker simulation system, substitute the real-time monitoring data of the measurement circuit breaker into the mirror virtual measurement circuit breaker simulation system, and generate the measurement circuit breaker simulation execution command.

[0098] In step S104, the control method of the present invention further improves the accuracy and reliability of the operation of the intelligent measurement circuit breaker by introducing a mirrored virtual measurement circuit breaker simulation system. The following is a detailed analysis of this step:

[0099] Establish matching relationship: Based on the matching relationship between the measurement tasks and the monitoring zones corresponding to the measured circuit breakers established in step S103, the system can clearly know which monitoring tasks each circuit breaker should be responsible for.

[0100] Constructing a Mirrored Virtual Circuit Breaker Simulation System: Based on the hardware configuration, software algorithms, and configuration parameters of the actual circuit breaker being measured, a corresponding mirrored virtual circuit breaker simulation system is constructed. This virtual system can simulate the operating environment and behavior of the actual circuit breaker, allowing for simulation testing without affecting the operation of the actual system.

[0101] Establish a data interface: Establish a stable data interface between the virtual system and the actual measured circuit breaker. This interface is used to transmit real-time monitoring data (such as real-time current, real-time voltage, real-time power, etc.) obtained from the actual measured circuit breaker to the mirrored virtual measured circuit breaker simulation system.

[0102] Initialize the simulation environment: Initialize the simulation environment in the mirrored virtual measurement circuit breaker simulation system. This includes setting relevant parameters of the power system (such as voltage level, frequency, etc.) and the connection status of the simulated lines, so that the virtual system can accurately reflect the operation of the actual power system.

[0103] Perform simulation tasks: Based on the measurement tasks and real-time monitoring data, execute corresponding simulation tasks in the mirrored virtual measurement circuit breaker simulation system. These tasks include overload protection judgment, short-circuit protection judgment, etc., designed to simulate the reaction and action of an actual circuit breaker when encountering abnormal conditions.

[0104] Generating Simulated Execution Commands: Utilizing preset algorithms and logic within the virtual system, real-time monitoring data is analyzed and processed to simulate the judgment and protection processes of an actual circuit breaker. Based on the execution results of the simulation task, simulated execution commands for the measured circuit breaker are generated. These commands include overload protection action commands and short-circuit protection action commands.

[0105] Through the implementation of step S104, this invention conducts a comprehensive simulation test of the operation of an actual circuit breaker using a mirrored virtual measurement circuit breaker simulation system without affecting the actual operation of the power system. The test not only helps verify the correctness and reliability of the actual circuit breaker's operation but also identifies potential problems and faults in a virtual environment, thereby avoiding the risk of power system shutdown due to erroneous analysis during actual operation. Simultaneously, this simulation testing method also provides valuable data support and reference for subsequent optimization and improvement.

[0106] Step S105: Execute the circuit breaker simulation command in the circuit breaker simulation system to obtain the circuit breaker simulation command execution result. If the mirrored virtual circuit breaker simulation system is running normally in the circuit breaker simulation command execution result, convert the circuit breaker simulation command corresponding to the circuit breaker simulation command execution result into a real-time circuit breaker execution command. The real-time circuit breaker execution command includes overload protection action or short-circuit protection action.

[0107] In step S105, the control method of the present invention improves the accuracy and reliability of actual circuit breaker operation by testing and verifying the simulated execution commands generated in the mirrored virtual circuit breaker simulation system. The following is a detailed analysis of this step:

[0108] Execute simulation commands: Execute simulation commands for the measurement circuit breaker in the mirrored virtual measurement circuit breaker simulation system. These commands are generated in the virtual environment based on real-time monitoring data and preset algorithms and logic, and are designed to simulate the actions that an actual circuit breaker should take when encountering abnormal conditions (such as overload protection, short circuit protection, etc.).

[0109] Evaluating Simulation Results: The system evaluates the execution results of simulation commands, primarily checking whether the mirrored virtual circuit breaker simulation system is operating normally and whether the execution results of the simulation commands meet expectations. This step is crucial for improving the accuracy of virtual environment simulations.

[0110] Command Conversion: If the mirrored virtual circuit breaker simulation system operates normally and the execution results of the simulation commands meet expectations, the system will convert the simulation execution command corresponding to the simulation command into a real-time circuit breaker execution command. This means that once the test results in the virtual environment are verified as valid, they will be used to guide the operation of the actual circuit breaker.

[0111] Sending Real-Time Execution Commands: The converted real-time measurement circuit breaker execution commands are sent to the actual measurement circuit breaker. These commands include overload protection action instructions, short-circuit protection action instructions, etc., designed to guide the actual circuit breaker to take the correct protective measures when encountering abnormal conditions.

[0112] Real-time action execution: After receiving a real-time execution command, the actual measurement circuit breaker performs the corresponding overload protection or short-circuit protection action according to the command requirements. For example, when an overload or short circuit is detected, the circuit breaker will quickly disconnect the circuit to prevent the fault from escalating and ensure the safe and stable operation of the power system.

[0113] Through the implementation of step S105, this invention comprehensively tests and verifies the operation of the measured circuit breaker in a mirrored virtual environment, improving the accuracy and reliability of the actual circuit breaker when performing protection actions. This method not only improves the safety and stability of the power system but also reduces the risk of power outages caused by misoperation or erroneous analysis. Simultaneously, it demonstrates the enormous potential and application value of data-driven control methods in smart grid operation and maintenance.

[0114] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S101, which comprises:

[0115] Determine the type of power system operation data to be acquired. The types of power system operation data include real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data.

[0116] Configure data acquisition equipment according to the data acquisition range. The data acquisition equipment includes current sensors, voltage sensors, and power meters.

[0117] Using the configured data acquisition equipment, the current, voltage, and power of the power system are collected in real time.

[0118] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S101, which comprises:

[0119] Retrieve historical operating data of the power system stored in the database. The historical operating data includes historical current, historical voltage, historical power data, and historical status records of the system.

[0120] Real-time monitoring of the power system status, which includes the operating status of equipment and the connection status of lines;

[0121] Acquire user demand data, which includes users' monitoring needs for the power system and the settings for protected objects.

[0122] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S102, which comprises:

[0123] Read and analyze user demand data, and based on the user demand data, identify the objects in the power system that require overload protection and short circuit protection from the user;

[0124] Using the power system's geographic information system or equipment management system, retrieve the location information of objects in the power system that require overload protection and short-circuit protection;

[0125] Confirm the coordinates, area, and relative position to other equipment or lines of each object in the power system that requires overload and short-circuit protection.

[0126] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S102, which comprises:

[0127] By analyzing the power system database, we can determine the line connection relationships between objects in the power system that require overload protection and short-circuit protection.

[0128] Identify lines that are directly connected to or indirectly affected by objects in the power system that require overload and short-circuit protection, as well as information on the line's route and load status.

[0129] Based on the location information and line connection relationship of objects requiring overload and short-circuit protection in the power system, the dividing criteria for the monitoring area of ​​intelligent measuring circuit breakers are set.

[0130] Based on the established dividing criteria, the power system is divided into several monitoring zones.

[0131] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S102, which comprises:

[0132] Each monitoring zone includes one or more protected objects. Based on the division of the monitoring zones, a corresponding measuring circuit breaker is assigned to each zone.

[0133] Each measuring circuit breaker is used to monitor the protected object in its corresponding monitoring zone, and to execute overload protection actions and short-circuit protection actions for the protected object in the monitoring zone.

[0134] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S103, which comprises:

[0135] The intelligent measurement circuit breaker automatically generates corresponding measurement tasks based on the loaded user demand data;

[0136] The measurement task should clearly include the object to be monitored, the parameters to be monitored, and the thresholds and conditions to be monitored. The objects to be monitored include equipment and lines, the parameters to be monitored include current, voltage and power, the thresholds to be monitored include overload thresholds, and the conditions to be monitored include short circuit judgment conditions.

[0137] Establish a clear matching relationship between the generated measurement tasks and the corresponding monitoring zones.

[0138] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S103, which comprises:

[0139] Based on the established matching relationship, the measuring circuit breaker monitors the overload protection objects and short circuit protection objects in the corresponding monitoring zone in real time;

[0140] By utilizing the sensors and data processing modules built into the power system, the current, voltage, and power parameters of the monitored objects are collected in real time.

[0141] The collected data is processed in real time to determine whether the monitored object is in a normal state or whether the protection condition has been triggered.

[0142] The real-time monitored data is recorded in the storage module of the intelligent measuring circuit breaker, and the real-time monitoring data and anomaly handling results are fed back to the power system control center or user terminal through the communication module.

[0143] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S104, which comprises:

[0144] Confirm the matching relationship between the measurement task and the monitoring zone corresponding to the measured circuit breaker, and construct the corresponding mirror virtual measured circuit breaker simulation system based on the actual measured circuit breaker's hardware configuration, software algorithm and configuration parameters;

[0145] A stable data interface is established between the virtual system and the actual measured circuit breaker. Real-time monitoring data, including real-time current, real-time voltage, and real-time power data, obtained from the actual measured circuit breaker are then input into the mirrored virtual measured circuit breaker simulation system.

[0146] Initialize the simulation environment in the virtual system, including setting power system parameters and simulating line connection status. Based on the measurement tasks and real-time monitoring data, execute the corresponding simulation tasks in the mirrored virtual measurement circuit breaker simulation system.

[0147] By utilizing the preset algorithms and logic in the virtual system, real-time monitoring data is analyzed and processed to simulate the judgment and protection process of the actual circuit breaker.

[0148] Based on the execution results of the simulation task, a simulation execution command for the measurement circuit breaker is generated, which includes the corresponding action instructions for overload protection and short circuit protection.

[0149] Specifically, the control method for a data-driven intelligent measurement circuit breaker provided by the present invention includes step S105, which comprises:

[0150] Based on the execution results of the circuit breaker measurement simulation command, determine whether the mirror virtual circuit breaker measurement simulation system is operating normally.

[0151] If the mirrored virtual circuit breaker simulation system is operating normally and the execution results of the simulation commands meet expectations, proceed to the next step.

[0152] After confirming that the mirror virtual measurement circuit breaker simulation system is operating normally, the execution result of the measurement circuit breaker simulation command is converted into the real-time measurement circuit breaker execution command.

[0153] The converted real-time measurement circuit breaker execution command is sent to the actual measurement circuit breaker.

[0154] This invention proposes a data-driven control method for intelligent measurement circuit breakers, effectively solving the problem that the power system may cease normal operation when the intelligent measurement circuit breaker encounters errors in data processing. The specific technical solution and implementation steps are as follows:

[0155] The control method of the present invention mainly includes the following five steps:

[0156] Acquire power system operation data (step S101): Acquire various operation data of the power system in real time, including real-time current, voltage, and power data, as well as historical operation data, system status data, and user demand data. Key parameters of the power system are collected in real time by configuring devices such as current sensors, voltage sensors, and power meters.

[0157] Determine the protected objects and monitoring zones (step S102): Based on user demand data, determine the objects requiring overload and short-circuit protection. Utilize the power system's geographic information system or equipment management system to retrieve the location information and line connection information of these protected objects within the power system. Divide the power system into several monitoring zones and assign corresponding intelligent measuring circuit breakers to each zone.

[0158] Generate measurement tasks and monitor in real time (step S103): Load user requirement data into the intelligent measurement circuit breaker and generate corresponding measurement tasks. Measurement tasks include clearly defined monitoring objects, monitoring parameters, monitoring thresholds, and conditions. The intelligent measurement circuit breaker monitors the overload protection objects and short-circuit protection objects within the corresponding monitoring zone in real time according to the measurement tasks.

[0159] Establish a mirror virtual measurement circuit breaker simulation system (step S104): Based on the hardware configuration, software algorithm and configuration parameters of the actual measurement circuit breaker, construct a mirror virtual measurement circuit breaker simulation system.

[0160] Real-time monitoring data is input into the simulation system to simulate the judgment and protection process of the actual circuit breaker, generating a simulation execution command. The simulation command is executed and feedback is provided (step S105): The simulation command is executed in the simulation system, and the operating status of the simulation system and the command execution result are verified. If the simulation system operates normally and the command execution result meets expectations, the simulation execution command is converted into a real-time measurement circuit breaker execution command and sent to the actual measurement circuit breaker for execution.

[0161] Specific implementation plans for solving technical problems;

[0162] Data preprocessing and validation: By comprehensively collecting and validating data before processing, the accuracy and completeness of the data are improved, reducing the possibility of erroneous analysis. The combined use of real-time and historical data enhances the robustness of data analysis.

[0163] Simulation verification mechanism: A mirrored virtual circuit breaker simulation system is introduced to simulate real-time monitoring data without affecting the actual operation of the power system. Verification through the simulation system ensures that the actual circuit breaker is thoroughly tested before execution, reducing the risk of erroneous execution.

[0164] Real-time monitoring and feedback: Intelligent measurement circuit breakers monitor the power system status in real time and provide immediate feedback when anomalies are detected, reducing the risk of fault escalation. Timely feedback of real-time monitoring data and anomaly handling results facilitates rapid response and problem resolution.

[0165] Zonal management and personalized settings: By dividing the power system into different monitoring zones and assigning measurement circuit breakers to each zone according to user needs, refined management of the power system is achieved. Users can set protection objects and monitoring parameters according to actual needs, improving the system's flexibility and adaptability.

[0166] In summary, this invention effectively solves the problem of power system shutdown caused by erroneous analysis during data processing in intelligent measurement circuit breakers by employing multiple technical means such as data acquisition, simulation verification, real-time monitoring, and partition management.

[0167] The data-driven intelligent measurement circuit breaker control method provided by this invention has significant practical applications in the field of power operation and maintenance technology. The following are examples of its main practical applications:

[0168] This invention introduces a mirrored virtual circuit breaker simulation system, which can simulate the processing of real-time monitoring data without affecting the actual operation of the power system. This effectively avoids the risk of power system failures caused by errors in actual data processing and improves the accuracy of data processing. It monitors the operating status of the power system in real time and quickly disconnects the circuit when abnormal conditions (such as overload or short circuit) are detected to prevent the fault from escalating, thereby ensuring the safe and stable operation of the power system.

[0169] Overload and short-circuit protection targets are configured based on user needs data to meet personalized protection requirements of the power system. The power system is divided into multiple monitoring zones, and each zone is assigned a corresponding intelligent measuring circuit breaker, enabling refined management of the power system and improving resource utilization efficiency. Combining historical and real-time operating data, the intelligent measuring circuit breakers can predict future load changes and adjust settings in advance to cope with potential overloads, achieving predictive protection. When certain parameters deviate from normal ranges, warnings can be issued in advance, prompting users to perform maintenance or replace components, avoiding sudden faults. Through precise monitoring and protection strategies, power outage time and maintenance costs caused by faults are reduced. Zone management and personalized settings improve the system's flexibility and adaptability, reducing unnecessary resource waste.

[0170] The following is a specific embodiment based on the technical solution of the present invention:

[0171] The power grid of a certain city frequently faces power instability issues due to large fluctuations in renewable energy loads (such as photovoltaic and energy storage stations). Traditional circuit breakers are insufficient in data processing and anomaly detection, making it difficult to respond accurately and promptly to these complex situations.

[0172] Implementation steps;

[0173] Acquire power system operation data (step S101): Configure current sensors, voltage sensors, and power meters to collect real-time current, voltage, and power data of the power system. Retrieve historical operation data stored in the database, including historical current, voltage, and power data, as well as historical system status records. Monitor the power system status in real time, including equipment operating status and line connection status. Obtain user requirement data, including user monitoring needs for the power system and protection object settings.

[0174] Determine the protected objects and monitoring zones (step S102): Read and analyze user demand data to identify objects requiring overload and short-circuit protection. Utilize the power system's Geographic Information System (GIS) to retrieve the location information and line connection information of these protected objects within the power system. Based on the location information and line connection relationships, establish the grading criteria for the intelligent circuit breaker monitoring areas, dividing the power system into several monitoring zones, and assigning corresponding intelligent circuit breakers to each zone.

[0175] Generate measurement tasks and monitor in real time (step S103): Load user requirement data into the intelligent measurement circuit breaker to generate specific measurement tasks, including monitoring objects, monitoring parameters (such as current, voltage, and power), monitoring thresholds, and conditions. The intelligent measurement circuit breaker monitors the overload protection objects and short-circuit protection objects in the corresponding monitoring zone in real time according to the measurement tasks, and collects and processes real-time data.

[0176] Establish a mirrored virtual circuit breaker simulation system (step S104): Based on the hardware configuration, software algorithm, and configuration parameters of the actual circuit breaker being measured, construct a mirrored virtual circuit breaker simulation system. Input real-time monitoring data into the simulation system to simulate the judgment and protection process of the actual circuit breaker and generate simulated execution commands.

[0177] Execute simulation commands and provide feedback (step S105): Execute simulation commands in the simulation system and verify the operating status of the simulation system and the command execution results. If the simulation system is operating normally and the command execution results meet expectations, convert the simulation execution command into a real-time measurement circuit breaker execution command and send it to the actual measurement circuit breaker for execution.

[0178] Implementation results;

[0179] Through the above implementation steps, the city's power grid successfully introduced a data-driven intelligent measurement circuit breaker control method. In actual operation, the intelligent measurement circuit breaker can accurately and promptly monitor and handle abnormal situations in the power system, effectively preventing power instability caused by fluctuations in new energy loads. Simultaneously, this invention significantly improves the security and stability of the power system, reduces operation and maintenance costs, and provides strong support for the development of smart grids.

[0180] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations. The above-described embodiments of this invention do not constitute a limitation on the scope of protection of this invention.

Claims

1. A control method for a data-driven intelligent measurement circuit breaker, characterized in that, include: Step S101: Obtain power system operation data, which includes real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data. Step S102: Based on user demand data, determine the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker, retrieve the location information of the overload protection objects and short circuit protection objects of the intelligent measuring circuit breaker in the power system and the line connection relationship information in the power system, and use the location information and the line connection relationship information in the power system as the basis for dividing the monitoring area of ​​the intelligent measuring circuit breaker to obtain the monitoring zone corresponding to the intelligent measuring circuit breaker. Step S103: Load user demand data into the intelligent measurement circuit breaker. The intelligent measurement circuit breaker generates measurement tasks based on the user demand data. Establish a matching relationship between the measurement tasks and the monitoring zones corresponding to the measurement circuit breaker. The intelligent measurement circuit breaker monitors the overload protection objects and short circuit protection objects of the corresponding monitoring zones in real time according to the measurement tasks, and obtains real-time monitoring data of the measurement circuit breaker. Step S104: Establish a matching relationship between the measurement task and the monitoring zone corresponding to the measurement circuit breaker, establish a mirror virtual measurement circuit breaker simulation system, substitute the real-time monitoring data of the measurement circuit breaker into the mirror virtual measurement circuit breaker simulation system, and generate the measurement circuit breaker simulation execution command. Step S105: Execute the circuit breaker simulation command in the circuit breaker simulation system to obtain the circuit breaker simulation command execution result. If the mirrored virtual circuit breaker simulation system is running normally in the circuit breaker simulation command execution result, convert the circuit breaker simulation command corresponding to the circuit breaker simulation command execution result into a real-time circuit breaker execution command. The real-time circuit breaker execution command includes overload protection action or short-circuit protection action.

2. The control method for a data-driven intelligent measurement circuit breaker as described in claim 1, characterized in that, Step S101 includes: Determine the type of power system operation data to be acquired. The types of power system operation data include real-time current data, real-time voltage data, real-time power data, historical operation data, system status data, and user demand data. Configure data acquisition equipment according to the data acquisition range. The data acquisition equipment includes current sensors, voltage sensors, and power meters. Using the configured data acquisition equipment, the current, voltage, and power of the power system are collected in real time.

3. The control method for a data-driven intelligent measurement circuit breaker as described in claim 2, characterized in that, Step S101 includes: Retrieve historical operating data of the power system stored in the database. The historical operating data includes historical current, historical voltage, historical power data, and historical status records of the system. Real-time monitoring of the power system status, which includes the operating status of equipment and the connection status of lines; Acquire user demand data, which includes users' monitoring needs for the power system and the settings for protected objects.

4. The control method for a data-driven intelligent measurement circuit breaker as described in claim 1, characterized in that, Step S102 includes: Read and analyze user demand data, and based on the user demand data, identify the objects in the power system that require overload protection and short circuit protection from the user; Using the power system's geographic information system or equipment management system, retrieve the location information of objects in the power system that require overload protection and short-circuit protection; Confirm the coordinates, area, and relative position to other equipment or lines of each object in the power system that requires overload and short-circuit protection.

5. The control method for a data-driven intelligent measurement circuit breaker as described in claim 4, characterized in that, Step S102 includes: By analyzing the power system database, we can determine the line connection relationships between objects in the power system that require overload protection and short-circuit protection. Identify lines that are directly connected to or indirectly affected by objects in the power system that require overload and short-circuit protection, as well as information on the line's route and load status. Based on the location information and line connection relationship of objects requiring overload and short-circuit protection in the power system, the dividing criteria for the monitoring area of ​​intelligent measuring circuit breakers are set. Based on the established dividing criteria, the power system is divided into several monitoring zones.

6. The control method for a data-driven intelligent measurement circuit breaker as described in claim 5, characterized in that, Step S102 includes: Each monitoring zone includes one or more protected objects. Based on the division of the monitoring zones, a corresponding measuring circuit breaker is assigned to each zone. Each measuring circuit breaker is used to monitor the protected object in its corresponding monitoring zone, and to execute overload protection actions and short-circuit protection actions for the protected object in the monitoring zone.

7. The control method for a data-driven intelligent measurement circuit breaker as described in claim 1, characterized in that, Step S103 includes: The intelligent measurement circuit breaker automatically generates corresponding measurement tasks based on the loaded user demand data; The measurement task should clearly include the object to be monitored, the parameters to be monitored, and the thresholds and conditions to be monitored. The objects to be monitored include equipment and lines, the parameters to be monitored include current, voltage and power, the thresholds to be monitored include overload thresholds, and the conditions to be monitored include short circuit judgment conditions. Establish a clear matching relationship between the generated measurement tasks and the corresponding monitoring zones.

8. The control method for a data-driven intelligent measurement circuit breaker as described in claim 7, characterized in that, Step S103 includes: Based on the established matching relationship, the measuring circuit breaker monitors the overload protection objects and short circuit protection objects in the corresponding monitoring zone in real time; By utilizing the sensors and data processing modules built into the power system, the current, voltage, and power parameters of the monitored objects are collected in real time. The collected data is processed in real time to determine whether the monitored object is in a normal state or whether the protection condition has been triggered. The real-time monitored data is recorded in the storage module of the intelligent measuring circuit breaker, and the real-time monitoring data and anomaly handling results are fed back to the power system control center or user terminal through the communication module.

9. The control method for a data-driven intelligent measurement circuit breaker as described in claim 1, characterized in that, Step S104 includes: Confirm the matching relationship between the measurement task and the monitoring zone corresponding to the measured circuit breaker, and construct the corresponding mirror virtual measured circuit breaker simulation system based on the actual measured circuit breaker's hardware configuration, software algorithm and configuration parameters; A stable data interface is established between the virtual system and the actual measured circuit breaker. Real-time monitoring data, including real-time current, real-time voltage, and real-time power data, obtained from the actual measured circuit breaker are then input into the mirrored virtual measured circuit breaker simulation system. Initialize the simulation environment in the virtual system, including setting power system parameters and simulating line connection status. Based on the measurement tasks and real-time monitoring data, execute the corresponding simulation tasks in the mirrored virtual measurement circuit breaker simulation system. By utilizing the preset algorithms and logic in the virtual system, real-time monitoring data is analyzed and processed to simulate the judgment and protection process of the actual circuit breaker. Based on the execution results of the simulation task, a simulation execution command for the measurement circuit breaker is generated, which includes the corresponding action instructions for overload protection and short circuit protection.

10. The control method for a data-driven intelligent measurement circuit breaker as described in claim 1, characterized in that, Step S105 includes: Based on the execution results of the circuit breaker measurement simulation command, determine whether the mirror virtual circuit breaker measurement simulation system is operating normally. If the mirrored virtual circuit breaker simulation system is operating normally and the execution results of the simulation commands meet expectations, proceed to the next step. After confirming that the mirror virtual measurement circuit breaker simulation system is operating normally, the execution result of the measurement circuit breaker simulation command is converted into the real-time measurement circuit breaker execution command. The converted real-time measurement circuit breaker execution command is sent to the actual measurement circuit breaker.

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