Power system and its tripping type judging device and method

Abstract

The application relates to a power system and a tripping type judgment device and method thereof. Basic power data of power equipment and a power transmission line are collected, and a tripping determination signal is sent when a tripping event occurs according to each basic power data. A data analysis module analyzes and determines a pending tripping type in a preset tripping type according to each basic power data. A simulation simulation module simulates according to each basic power data to obtain a simulation tripping type. Finally, a final decision module integrates and determines a target tripping type according to the pending tripping type and the simulation tripping type. The target tripping type is determined by comprehensively considering the performance of historical data of the system and the result of the simulation model. The accuracy of tripping type judgment is ensured, the repair rate is improved, and the reliability of judgment is improved.

Description

Technical Field

[0001] This application relates to the field of power system fault handling technology, and in particular to a power system and a device and method for determining its tripping type. Background Technology

[0002] In current power systems, effective fault monitoring of lines and equipment is a crucial aspect of ensuring safe system operation. For example, in a traction power supply system that supplies power to electric locomotives, once an accident occurs, the relay protection devices installed in the traction substation will activate, automatically disconnecting the circuit breaker supplying power to the accident point to minimize the scope of the accident and ensure the safe operation of other equipment. Furthermore, it is necessary to analyze the causes of the aforementioned equipment tripping events to prevent similar accidents from recurring.

[0003] However, the current method of analyzing the causes of equipment tripping events usually relies on the electrician's own experience. But traction power supply systems generally involve different voltage levels and numerous devices. Manual methods are not only inefficient but also highly dependent on experience, making it easy to make misjudgments and thus affecting the efficiency of emergency repairs to the traction power supply system. Summary of the Invention

[0004] Therefore, it is necessary to address the problem that relying on human experience to judge power equipment tripping events is prone to misjudgment, and to provide a device and method for judging power system tripping types, thereby improving the accuracy of power system tripping type judgment.

[0005] A tripping type determination device for a power system includes a data acquisition module, a data monitoring module, a data analysis module, a simulation module, and an integrated decision module. The data acquisition module is connected to power equipment and transmission lines in the power system. The data acquisition module is connected to the data monitoring module, the data analysis module, and the simulation module. The data monitoring module is connected to the data analysis module and the simulation module. The integrated decision module is connected to the data analysis module and the simulation module.

[0006] The data acquisition module is used to collect basic power data of the power equipment and the transmission line, and send each of the basic power data to the data monitoring module, the data analysis module and the simulation module;

[0007] The data monitoring module is used to determine whether a tripping event has occurred in the power system based on the basic power data, and when the tripping event is determined to have occurred, it sends a tripping confirmation signal to the data analysis module and the simulation module.

[0008] After receiving the trip confirmation signal, the data analysis module is used to analyze and determine the pending trip type from the preset trip types based on the basic power data, and send the pending trip type to the integrated decision module;

[0009] After receiving the trip confirmation signal, the simulation module performs simulation based on the basic power data to obtain the simulated trip type and sends the simulated trip type to the integrated decision module.

[0010] The integrated decision module is used to determine the target tripping type based on the pending tripping type and the simulated tripping type.

[0011] In one embodiment, a data storage module is further included, which is connected to the data acquisition module, the data monitoring module and the data analysis module;

[0012] The data storage module is used to store the normal operation database and the tripping factor database.

[0013] In one embodiment, the data monitoring module includes a data extraction unit and an anomaly detection unit, wherein the data extraction unit is connected to the data storage module and the anomaly detection unit, and the anomaly detection unit is connected to the data acquisition module and the data analysis unit;

[0014] The data extraction unit is used to extract normal power data from the normal operation database and send the normal power data to the anomaly detection unit.

[0015] The anomaly detection unit is used to determine whether the power system has experienced a tripping event based on the normal power data and the basic power data, and when the tripping event is determined to have occurred, it sends a tripping event type determination signal to the data analysis unit.

[0016] In one embodiment, the data analysis module includes a tripping factor extraction unit and a tripping factor matching unit. The tripping factor extraction unit is connected to the data storage module and the tripping factor matching unit, and the tripping factor matching unit is connected to the data acquisition module and the anomaly detection unit.

[0017] The tripping factor extraction unit is used to extract the preset tripping type and its corresponding historical power data from the tripping factor database, and send the preset tripping type and its corresponding historical power data to the tripping factor matching unit.

[0018] The tripping factor matching unit is used to perform matching analysis between the basic power data and the historical power data corresponding to the preset tripping type to determine the pending tripping type.

[0019] In one embodiment, the simulation module includes a power data input unit, a power system simulation unit, and a simulation result output unit. The power data input unit is connected to the data acquisition module and the power system simulation unit. The power system simulation unit is connected to the data monitoring module and the simulation result output unit. The simulation result output unit is connected to the integrated decision module.

[0020] In one embodiment, a method for determining the tripping type of a power system is provided, including:

[0021] Acquire basic power data for power equipment and transmission lines;

[0022] If a tripping event is determined based on the aforementioned basic power data, a pending tripping type is determined from the preset tripping types based on the aforementioned basic power data, and a simulation is performed based on the aforementioned basic power data to obtain the simulated tripping type.

[0023] The target trip type is determined based on the pending trip type and the simulated trip type.

[0024] In one embodiment, the step of analyzing and determining the pending trip type from the preset trip types based on the basic power data includes:

[0025] Extract preset tripping types and their corresponding historical power data from the tripping factor database;

[0026] The pending tripping type is determined by matching and analyzing the basic power data with the historical power data corresponding to the preset tripping type.

[0027] In one embodiment, after acquiring the basic power data of the power equipment and transmission lines, the method further includes:

[0028] Normal power data is extracted from the normally operating database;

[0029] Based on the normal power data and the aforementioned basic power data, it is determined whether a power system tripping event has occurred.

[0030] In one embodiment, determining the target trip type based on the undetermined trip type and the simulated trip type includes:

[0031] The target trip type is determined based on the pending trip type, the analysis weight factor, the simulated trip type, and the simulation weight factor.

[0032] In one embodiment, a power system is provided, including the tripping type determination device as described above.

[0033] The aforementioned power system and its tripping type determination device and method collect basic power data of power equipment and transmission lines. When a tripping event occurs based on the basic power data, a tripping determination signal is sent. The data analysis module analyzes the basic power data and determines the pending tripping type from the preset tripping types. The simulation module performs simulation based on the basic power data to obtain the simulated tripping type. Finally, the integration decision module integrates the pending tripping type and the simulated tripping type to determine the target tripping type. By combining the performance of historical system data and the results of the simulation model, the target tripping type is determined. This not only ensures the accuracy of tripping type determination and improves the repair rate, but also improves the reliability of the determination. Attached Figure Description

[0034] Figure 1 This is a system block diagram of a tripping type determination device for a power system in one embodiment;

[0035] Figure 2 This is a system block diagram of a tripping type determination device for a power system in another embodiment;

[0036] Figure 3 This is a flowchart illustrating a method for determining the tripping type of a power system in one embodiment;

[0037] Figure 4 This is a flowchart illustrating the steps for determining the type of trip to be determined in one embodiment. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0040] It is understood that the terms "first," "second," etc., used herein may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of this application, a first resistor may be referred to as a second resistor, and similarly, a second resistor may be referred to as a first resistor. Both the first resistor and the second resistor are resistors, but they are not the same resistor.

[0041] It is understood that the term "connection" in the following embodiments should be understood as "electrical connection," "communication connection," etc., if the connected circuits, modules, units, etc., have electrical signal or data transmission with each other.

[0042] When used herein, the singular forms of “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising,” “including,” or “having,” etc., specify the presence of the stated feature, whole, step, operation, component, part, or combination thereof, but do not preclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof.

[0043] As described in the background section, effective fault monitoring of lines and equipment is a crucial aspect of ensuring safe system operation in current power systems. For example, in a traction power supply system that supplies power to electric locomotives, once an accident occurs, the relay protection device installed in the traction substation will activate, automatically disconnecting the circuit breaker supplying power to the accident point to minimize the scope of the accident and ensure the safe operation of other equipment. Furthermore, it is necessary to analyze the causes of the aforementioned equipment tripping events to prevent similar accidents from recurring. However, current methods for analyzing the causes of equipment tripping events typically rely on the electrician's experience. But traction power supply systems generally involve different voltage levels and numerous devices; manual methods are not only inefficient but also highly susceptible to experience-based errors, easily leading to misjudgments and consequently affecting the efficiency of emergency repairs to the traction power supply system.

[0044] Based on this, in one embodiment, a tripping type determination device for a power system is provided, applied to a power system taking a traction power supply system as an example. Figure 1As shown, the system includes a data acquisition module 110, a data monitoring module 120, a data analysis module 130, a simulation module 140, and an integrated decision-making module 150. The data acquisition module 110 connects to the power equipment and transmission lines in the power system. The data acquisition module 110 is connected to the data monitoring module 120, the data analysis module 130, and the simulation module 140. The data monitoring module 120 is connected to the data analysis module 130 and the simulation module 140. The integrated decision-making module 150 is connected to the data analysis module 130 and the simulation module 140. The data acquisition module 110 is used to collect basic power data from the power equipment and transmission lines, and to send this basic power data to the data monitoring module 120, the data analysis module 130, and the simulation module 150. 40; The data monitoring module 120 is used to determine whether a tripping event has occurred in the power system based on various basic power data, and when a tripping event is determined to have occurred, it sends a tripping confirmation signal to the data analysis module 130 and the simulation module 140; After receiving the tripping confirmation signal, the data analysis module 130 is used to analyze and determine the pending tripping type from the preset tripping types based on various basic power data, and sends the pending tripping type to the integrated decision module 150; After receiving the tripping confirmation signal, the simulation module 140 is used to perform simulation based on various basic power data to obtain the simulated tripping type, and sends the simulated tripping type to the integrated decision module 150; The integrated decision module 150 is used to determine the target tripping type based on the pending tripping type and the simulated tripping type.

[0045] In this application, the traction power supply system for supplying power to electric locomotives is used as an example for explanation and description. The traction power supply system converts electrical energy transmitted from power plants via power transmission lines into a voltage suitable for the locomotive and rolling stock, and distributes it to the overhead contact line or contact rail to power the electric locomotive. The main electrical equipment within the traction power supply system includes transformers for voltage transformation, power distribution devices for receiving and distributing electrical energy, and switching devices for control and protection. The transmission lines correspondingly include power transmission lines connecting the aforementioned electrical equipment and overhead contact lines or contact rails. Of course, the power system mentioned in this application can also refer to AC / DC substation systems corresponding to various voltage levels, and the corresponding electrical equipment and transmission lines may include generator sets, AC lines, converter stations, and DC lines.

[0046] Specifically, the data acquisition module 110 is used to collect basic power data of various power equipment and transmission lines in the aforementioned traction power supply system, and then sends the basic power data to the data monitoring module 120, data analysis module 130, and simulation module 140 to determine the tripping type of the power system. It can be understood that the basic power data may include current data, voltage data, and temperature data, and may also include status data of equipment such as control switches, relay protection devices, circuit breakers, and air switches. For current data, devices such as shunts, current transmitters, and current sensors can be used for acquisition; for voltage data, devices such as voltage transmitters and voltage sensors can be used for acquisition; and for temperature data, devices such as temperature sensors can be used for acquisition. In addition, the status data of each power equipment can be acquired using devices such as PLC input modules and switch quantity acquisition boards.

[0047] Furthermore, the data monitoring module 120 can determine whether a tripping event has occurred in the power system based on basic power data, and issue a trip confirmation signal when a tripping event is determined to have occurred, so that subsequent modules can analyze the cause of the trip in a timely manner and ensure the efficiency of power system repair. The data monitoring module 120 can determine whether a tripping event has occurred in various ways. It can do so by comparing and analyzing the basic power data collected in two consecutive time periods to determine whether there has been a sudden change in analog data or a state transition in switch data. Alternatively, it can do so by comparing and analyzing the collected basic power data with the basic power data under normal operating conditions to determine whether there is a difference exceeding the allowable limit. The trip confirmation signal represents a signal confirming that a tripping event has occurred in the power system. It can be understood as an enable signal for the data analysis module 130 and the simulation module 140. Upon receiving this trip confirmation signal, the data analysis module 130 and the simulation module 140 initiate analysis of the tripping type.

[0048] The data analysis module 130 can be understood as using a large amount of historical data from the actual operation of the power system to determine the tripping type corresponding to the current tripping event. It can be understood that the data analysis module 130 has pre-stored possible preset tripping types, and then, based on various basic power data, analyzes and determines the tripping type with the highest probability among the preset tripping types as the pending tripping type. The method by which the data analysis module 130 analyzes tripping types based on historical data is not unique. It could be using a neural network classification model trained on each preset tripping type and its corresponding historical basic power data to obtain a tripping type classification model, and then inputting the collected basic power data into the tripping type classification module to obtain the corresponding pending tripping type. Alternatively, it could be using a similarity algorithm to calculate a distance index between the collected basic power data and the historical basic power data corresponding to each preset tripping type, and then using the preset tripping type with the smallest calculated distance index value as the pending tripping type.

[0049] In methods that determine trip type based on historical data, there may be occasional trip types that rarely occur in actual operation, or the current trip event may be of an unknown type. Therefore, the simulation module 140 can be understood as constructing a power system simulation model and injecting basic power data into the constructed power system simulation model according to their corresponding power equipment or transmission lines, thereby simulating the simulated trip type. It can be understood that the simulation module 140 determines the simulated trip type by using automated testing programs in different regions to achieve rapid batch verification of each power equipment and transmission line, thereby enabling targeted verification of trip types and optimizing the accuracy of judging occasional trip types.

[0050] Furthermore, the integrated decision module 150 can integrate the results output by the data analysis module 130 and the simulation module 140, combining the performance of historical system data and the results of the simulation model to determine the target tripping type, thereby improving the reliability of the judgment. It can be understood that when the pending tripping type output by the data analysis module 130 matches the simulated tripping type output by the simulation module 140, the target tripping type is obviously that same tripping type. When the pending tripping type and the simulated tripping type are inconsistent, the integrated decision module 150 needs to perform probability fusion calculations to determine the target tripping type. It can be understood that the tripping types output by the data analysis module 130 and the simulation module 140 both contain corresponding probability values. The target tripping type can then be selected based on the magnitude of the probability values. This can be achieved by setting weighting factors for the data analysis module 130 and the simulation module 140 based on human experience, and then combining the probability values ​​with the respective weighting factors to select the target tripping type.

[0051] It is understood that in the traction power supply system exemplified in this application, the preset tripping types may include overload tripping, short-circuit tripping, and leakage tripping. Correspondingly, the tripping type determination device for the power system provided in this application may also include an alert module, which is used to issue alert information based on the target tripping type. Specifically, when the target tripping type is determined to be an overload tripping type, an alert message may be output indicating that the wire needs to be thickened or the circuit load reduced at the corresponding location; when the target tripping type is determined to be a short-circuit tripping type, an alert message may be output indicating that the wire interface at the corresponding location needs to be reconnected; and when the target tripping type is determined to be a leakage tripping type, an alert message may be output indicating that the leakage wire at the corresponding location needs to be replaced.

[0052] The data monitoring module 120, data analysis module 130, simulation module 140, and integrated decision-making module 150 can be implemented in whole or in part through software, hardware, or a combination thereof. Specifically, they can be embedded in the processor of the computer equipment in the power system monitoring backend in hardware form or independent of it, or they can be stored in the memory of the computer equipment in the power system monitoring backend in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0053] The aforementioned power system tripping type determination device collects basic power data of power equipment and transmission lines. When a tripping event occurs based on the basic power data, it sends a tripping determination signal. The data analysis module 130 analyzes the basic power data from preset tripping types to determine the pending tripping type. The simulation module 140 performs simulation based on the basic power data to obtain the simulated tripping type. Finally, the integration decision module 150 integrates the pending tripping type and the simulated tripping type to determine the target tripping type. By combining the performance of historical system data and the results of the simulation model, the target tripping type is determined, which not only ensures the accuracy of tripping type determination and improves the repair rate, but also improves the reliability of the determination.

[0054] In one embodiment, such as Figure 2 As shown, the power system tripping type determination device also includes a data storage module 160, which is connected to the data acquisition module 110, the data monitoring module 120, and the data analysis module 130. The data storage module 160 stores a normal operation database and a tripping factor database. It can be understood that the data stored in the normal operation database is the basic power data under normal operating conditions; the data stored in the tripping factor database is the historical basic power data corresponding to the preset tripping type. The data storage module 160 stores historical data during the power system's operation, providing a data foundation for the data monitoring module 120 and the data analysis module 130.

[0055] In one embodiment, the data monitoring module 120 includes a data extraction unit and an anomaly detection unit. The data extraction unit is connected to the data storage module 160 and the anomaly detection unit, and the anomaly detection unit is connected to the data acquisition module 110 and the data analysis unit. The data extraction unit is used to extract normal power data from the normal operation database and send the normal power data to the anomaly detection unit. The anomaly detection unit is used to determine whether a tripping event has occurred in the power system based on the normal power data and various basic power data, and when a tripping event is determined to have occurred, it sends a tripping event type determination signal to the data analysis unit.

[0056] Specifically, the data extraction unit can extract normal power data from the normal operation database and send it to the anomaly detection unit for judgment. This data can be normal power data from the previous moment, the previous unit of time period, or any previous moment. Further, the anomaly detection unit can determine whether a power system tripping event has occurred based on whether the difference between the normal power data and each basic power data is within the allowable range, or whether the status data in each basic power data is opposite to the status data in the normal power data.

[0057] Furthermore, when the anomaly detection unit determines that no power system tripping event has occurred, it also marks the collected basic power data as normal power data and stores it in the normal operation database of the data storage module 160. When the anomaly detection unit determines that a power system tripping event has occurred, it also marks the collected basic power data as abnormal power data so that subsequent modules can determine the corresponding target tripping type and store it in the tripping factor database of the data storage module 160. It can be understood that the data monitoring module 120 can detect abnormal data, provide early warnings and marking, facilitate system identification and processing, and avoid confusion between abnormal and normal data, thus improving system processing efficiency.

[0058] In one embodiment, the data analysis module 130 includes a tripping factor extraction unit and a tripping factor matching unit. The tripping factor extraction unit is connected to the data storage module 160 and the tripping factor matching unit, and the tripping factor matching unit is connected to the data acquisition module 110 and the anomaly detection unit. The tripping factor extraction unit is used to extract a preset tripping type and its corresponding historical power data from the tripping factor database, and send the preset tripping type and its corresponding historical power data to the tripping factor matching unit. The tripping factor matching unit is used to perform matching analysis based on each basic power data and the historical power data corresponding to the preset tripping type to determine the pending tripping type.

[0059] Specifically, the tripping factor extraction unit stores various preset tripping types. Based on these preset tripping types as input parameters, it queries the required historical power data in the tripping factor database of the data storage module 160, thereby extracting the preset tripping types and their corresponding historical power data, and sending them to the tripping factor matching unit for judgment. The tripping factor matching unit can use a preset similarity algorithm to calculate the distance index between each basic power data and the historical power data corresponding to the preset tripping type, and match the preset tripping type with the smallest calculated distance index as the pending tripping type. The distance index is not unique; it can be an Euclidean distance index, a Mahalanobis distance index, or a cosine distance index, without limitation.

[0060] In one embodiment, the simulation module 140 includes a power data input unit, a power system simulation unit, and a simulation result output unit. The power data input unit is connected to the data acquisition module 110 and the power system simulation unit. The power system simulation unit is connected to the data monitoring module 120 and the simulation result output unit. The simulation result output unit is connected to the integrated decision module 150.

[0061] Specifically, the power system simulation unit has built-in real-time simulation and automatic testing programs, which can flexibly build electrical models corresponding to various power equipment and transmission lines in the power system. It can also perform millisecond-level simulation calculations of electrical parameters and, according to the IEC 61850 protocol requirements, use standardized testing procedures to test and verify the built electrical models. The power data input unit can be understood as an interface component, which can connect to the data acquisition module 110 to acquire the collected basic power data, and then inject the basic power data into the power equipment and transmission lines of the built electrical model according to their corresponding locations. The simulation result output unit can integrate the electrical parameters calculated in the electrical model and output the simulation trip type. Specifically, it can output the location of the corresponding trip fault and the system changes caused by the trip, for analysis by the integration decision module 150.

[0062] It is understood that in the tripping type determination device for the power system provided in this application, the integrated decision module 150 can also combine human experience to make a judgment, that is, the pending tripping type and the simulated tripping type are displayed to the technicians through the display module, so that the technicians can make a comprehensive judgment on the weighting factors corresponding to the input data analysis module 130 and the simulation module 140 based on the performance of the system's historical data and the results of the simulation model, so as to finally determine the target tripping type.

[0063] In one embodiment, such as Figure 3 As shown, a method for determining the tripping type of a power system is provided, including the following steps S200 to S600:

[0064] S200: Acquire basic power data of power equipment and transmission lines collected by the data acquisition module.

[0065] Specifically, the embodiments in this application all use a traction power supply system for supplying power to electric locomotives as an example for explanation and illustration. The traction power supply system is used to convert electrical energy transmitted from power plants via power transmission lines into a voltage suitable for the locomotive and rolling stock, and then distribute it to the overhead contact line or contact rail to supply power to the electric locomotive. The main electrical equipment within the traction power supply system includes transformers for voltage transformation, power distribution devices for receiving and distributing electrical energy, and switching devices for control and protection. The transmission lines correspondingly include power transmission lines connecting the aforementioned electrical equipment, as well as overhead contact lines or contact rails. Of course, the power system mentioned in this application can also refer to AC / DC substation systems corresponding to various voltage levels, and the corresponding electrical equipment and transmission lines may include generator sets, AC lines, converter stations, and DC lines.

[0066] The data acquisition module is used to collect basic power data from various power equipment and transmission lines in the aforementioned traction power supply system. This basic power data is then sent to the data monitoring module, data analysis module, and simulation module to determine the tripping type of the power system. The basic power data can include current, voltage, and temperature data, as well as status data from control switches, relay protection devices, circuit breakers, and air switches. Current data can be acquired using devices such as shunts, current transmitters, and current sensors; voltage data can be acquired using voltage transmitters and voltage sensors; and temperature data can be acquired using temperature sensors. Furthermore, the status data of each power device can be acquired using PLC input modules and switch quantity acquisition boards.

[0067] S400: When a tripping event is determined based on the basic power data, the pending tripping type is determined from the preset tripping types based on the basic power data, and the simulated tripping type is obtained by simulating the tripping event based on the basic power data.

[0068] The data analysis module can be understood as using a large amount of historical data from the actual operation of the power system to determine the tripping type corresponding to the current tripping event. Essentially, the data analysis module pre-stores possible preset tripping types and then analyzes and determines the tripping type with the highest probability among these preset types based on various basic power data as the potential tripping type. The method by which the data analysis module analyzes tripping types based on historical data is not unique. It could be to train a tripping type classification model using a neural network based on each preset tripping type and its corresponding historical basic power data, and then input the collected basic power data into the tripping type classification module to obtain the corresponding potential tripping type. Alternatively, it could sequentially compare the collected basic power data with the historical basic power data corresponding to each preset tripping type, calculate a distance index using a similarity algorithm, and use the preset tripping type with the smallest calculated distance index value as the potential tripping type.

[0069] In methods that determine trip type based on historical data, there may be occasional trip types that rarely occur in actual operation, or the current trip event may be of an unknown type. Therefore, the simulation module can be understood as constructing a power system simulation model and injecting basic power data into the model according to their corresponding power equipment or transmission lines to simulate the trip type. This can be understood as the simulation module determining the trip type by using automated testing programs in different regions to achieve rapid batch verification of each power device and transmission line, thereby enabling targeted verification of trip types and optimizing the accuracy of judging occasional trip types.

[0070] The power system simulation unit of the simulation module has built-in real-time simulation and automatic testing programs. It can flexibly build electrical models corresponding to various power equipment and transmission lines in the power system, perform millisecond-level simulation calculations of electrical parameters, and test and verify the built electrical models according to the IEC 61850 protocol requirements using standardized testing procedures. The power data input unit can be understood as an interface component, which can connect to the data acquisition module to acquire various basic power data, and then inject the basic power data into the power equipment and transmission lines of the built electrical model according to the corresponding positions. The simulation result output unit can integrate the electrical parameters calculated in the electrical model and output the simulation trip type. Specifically, it can output the location of the corresponding trip fault and the system changes caused by the trip, for analysis by the integration decision module.

[0071] S600: Determine the target trip type based on the pending trip type and the simulated trip type.

[0072] Specifically, the integrated decision-making module combines the outputs of the data analysis module and the simulation module, integrating the performance of historical system data and the results of the simulation model to determine the target tripping type, thereby improving the reliability of the judgment. It can be understood that when the pending tripping type output by the data analysis module matches the simulated tripping type output by the simulation module, the target tripping type is obviously that same tripping type. When the pending tripping type and the simulated tripping type do not match, the integrated decision-making module needs to perform probability fusion calculations to determine the target tripping type. It can be understood that the tripping types output by both the data analysis module and the simulation module contain corresponding probability values. The target tripping type can then be selected based on the magnitude of these probability values. This can be achieved by setting weighting factors for the data analysis module and the simulation module based on human experience, and then combining the probability values ​​with the respective weighting factors to select the target tripping type.

[0073] It is understood that in the traction power supply system exemplified in this application, the preset tripping types may include overload tripping, short-circuit tripping, and leakage tripping. Correspondingly, the tripping type determination device for the power system provided in this application may also include an alert module, which is used to issue alert information based on the target tripping type. Specifically, when the target tripping type is determined to be an overload tripping type, an alert message may be output indicating that the wire needs to be thickened or the circuit load reduced at the corresponding location; when the target tripping type is determined to be a short-circuit tripping type, an alert message may be output indicating that the wire interface at the corresponding location needs to be reconnected; and when the target tripping type is determined to be a leakage tripping type, an alert message may be output indicating that the leakage wire at the corresponding location needs to be replaced.

[0074] In this embodiment, basic power data of power equipment and transmission lines are collected. When a tripping event is determined based on the basic power data, a tripping confirmation signal is sent. The data analysis module analyzes the basic power data and determines the pending tripping type from the preset tripping types. The simulation module performs simulation based on the basic power data to obtain the simulated tripping type. Finally, the integration decision module integrates the pending tripping type and the simulated tripping type to determine the target tripping type. The target tripping type is determined by combining the performance of historical system data and the results of the simulation model. This not only ensures the accuracy of tripping type judgment and improves the repair rate, but also improves the reliability of judgment.

[0075] In one embodiment, such as Figure 4 As shown, S400 analyzes and determines the pending trip type from the preset trip types based on various basic power data, including S420 to S440, where:

[0076] S420: Extract preset tripping types and their corresponding historical power data from the tripping factor database. Specifically, the tripping factor extraction unit stores each preset tripping type and, based on each preset tripping type as an input parameter, queries the required historical power data in the tripping factor database of the data storage module, thereby extracting the preset tripping type and its corresponding historical power data, and sending it to the tripping factor matching unit for judgment.

[0077] S440: Based on the matching analysis between each basic power data and the historical power data corresponding to the preset tripping type, the pending tripping type is determined. Specifically, the tripping factor matching unit can use a preset similarity algorithm to calculate the distance index between each basic power data and the historical power data corresponding to the preset tripping type, and match the preset tripping type with the smallest calculated distance index as the pending tripping type. The distance index is not unique; it can be an Euclidean distance index, a Mahalanobis distance index, or a cosine distance index, without limitation.

[0078] In one embodiment, after S200, the method further includes: extracting normal power data from the normal operation database; and determining whether a power system tripping event has occurred based on the normal power data and the basic power data.

[0079] Specifically, the data extraction unit can extract normal power data from the normal operation database and send it to the anomaly detection unit for judgment. This data can be normal power data from the previous moment, the previous unit of time period, or any previous moment. Further, the anomaly detection unit can determine whether a power system tripping event has occurred based on whether the difference between the normal power data and each basic power data is within the allowable range, or whether the status data in each basic power data is opposite to the status data in the normal power data.

[0080] Furthermore, normal power data is extracted from the normal operation database and sent to the anomaly detection unit for judgment. This data can be normal power data from the previous moment, the previous unit of time period, or any previous moment. The anomaly detection unit can further determine whether a power system tripping event has occurred based on whether the difference between the normal power data and each basic power data is within the allowable range, or whether the status data in each basic power data is opposite to the status data in the normal power data.

[0081] In one embodiment, S600 includes: determining the target tripping type based on the pending tripping type, analysis weighting factor, simulated tripping type, and simulation weighting factor. It can be understood that in the power system tripping type determination device provided in this application, the integrated decision module can also combine human experience for judgment. That is, the pending tripping type and simulated tripping type are displayed to technicians through a display module, allowing technicians to comprehensively judge the analysis weighting factor and simulation weighting factor corresponding to the input data analysis module and simulation module based on the performance of historical system data and the results of the simulation model, to ultimately determine the target tripping type.

[0082] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0083] In one embodiment, a computer device, which may be a server, is provided. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for determining the tripping type of a power system.

[0084] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals. Wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for determining the tripping type of a power system. The display screen may be an LCD screen or an e-ink display screen. The input device may be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0085] Those skilled in the art will understand that the structure described above is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0086] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method for determining the tripping type of a power system.

[0087] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-described method for determining the tripping type of a power system.

[0088] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the above-described method for determining the tripping type of a power system.

[0089] In one embodiment, a power system is provided, including a tripping type determination device as described in any of the above embodiments.

[0090] For specific limitations of the one or more power systems and the tripping type determination method embodiments provided in this application, please refer to the limitations of the tripping type determination device of the power system above, which will not be repeated here.

[0091] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A tripping type determination device for a power system, characterized in that, It includes a data acquisition module, a data monitoring module, a data analysis module, a simulation module, and an integrated decision-making module. The data acquisition module is connected to the power equipment and transmission lines in the power system. The data acquisition module is connected to the data monitoring module, the data analysis module, and the simulation module. The data monitoring module is connected to the data analysis module and the simulation module. The integrated decision-making module is connected to the data analysis module and the simulation module. The data acquisition module is used to collect basic power data of the power equipment and the transmission line, and send each of the basic power data to the data monitoring module, the data analysis module and the simulation module; The data monitoring module is used to determine whether a tripping event has occurred in the power system based on the basic power data, and when the tripping event is determined to have occurred, it sends a tripping confirmation signal to the data analysis module and the simulation module. After receiving the trip confirmation signal, the data analysis module is used to analyze and determine the pending trip type from the preset trip types based on the basic power data, and send the pending trip type to the integrated decision module; After receiving the trip confirmation signal, the simulation module performs simulation based on the basic power data to obtain the simulated trip type and sends the simulated trip type to the integrated decision module. The integrated decision module is used to determine the target tripping type based on the pending tripping type and the simulated tripping type.

2. The tripping type determination device according to claim 1, characterized in that, It also includes a data storage module, which connects the data acquisition module, the data monitoring module and the data analysis module; The data storage module is used to store the normal operation database and the tripping factor database.

3. The tripping type determination device according to claim 2, characterized in that, The data monitoring module includes a data extraction unit and an anomaly detection unit. The data extraction unit is connected to the data storage module and the anomaly detection unit, and the anomaly detection unit is connected to the data acquisition module and the data analysis module. The data extraction unit is used to extract normal power data from the normal operation database and send the normal power data to the anomaly detection unit. The anomaly detection unit is used to determine whether the power system has experienced a tripping event based on the normal power data and the basic power data, and when the tripping event is determined to have occurred, it sends a tripping event type determination signal to the data analysis module.

4. The tripping type determination device according to claim 3, characterized in that, The data analysis module includes a tripping factor extraction unit and a tripping factor matching unit. The tripping factor extraction unit is connected to the data storage module and the tripping factor matching unit. The tripping factor matching unit is connected to the data acquisition module and the anomaly detection unit. The tripping factor extraction unit is used to extract the preset tripping type and its corresponding historical power data from the tripping factor database, and send the preset tripping type and its corresponding historical power data to the tripping factor matching unit. The tripping factor matching unit is used to perform matching analysis between the basic power data and the historical power data corresponding to the preset tripping type to determine the pending tripping type.

5. The tripping type determination device according to any one of claims 1-4, characterized in that, The simulation module includes a power data input unit, a power system simulation unit, and a simulation result output unit. The power data input unit is connected to the data acquisition module and the power system simulation unit. The power system simulation unit is connected to the data monitoring module and the simulation result output unit. The simulation result output unit is connected to the integrated decision module.

6. A method for determining the tripping type of a power system, characterized in that, include: Acquire basic power data for power equipment and transmission lines; If a tripping event is determined based on the aforementioned basic power data, a pending tripping type is determined from the preset tripping types based on the aforementioned basic power data, and a simulation is performed based on the aforementioned basic power data to obtain the simulated tripping type. The target trip type is determined based on the pending trip type and the simulated trip type.

7. The method for determining the tripping type of a power system according to claim 6, characterized in that, The step of determining the pending trip type from the preset trip types based on the aforementioned basic power data includes: Extract preset tripping types and their corresponding historical power data from the tripping factor database; The pending tripping type is determined by matching and analyzing the basic power data with the historical power data corresponding to the preset tripping type.

8. The method for determining the tripping type of a power system according to claim 6, characterized in that, After acquiring the basic power data of power equipment and transmission lines, the process also includes: Normal power data is extracted from the normally operating database; Based on the normal power data and the aforementioned basic power data, it is determined whether a power system tripping event has occurred.

9. The method for determining the tripping type of a power system according to any one of claims 6 to 8, characterized in that, The step of determining the target trip type based on the undetermined trip type and the simulated trip type includes: The target trip type is determined based on the pending trip type, the analysis weight factor, the simulated trip type, and the simulation weight factor.

10. An electric power system, characterized in that, Includes the tripping type determination device as described in any one of claims 1-5.

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