Method, system and device for diagnosing live faults of a valve control system of a direct current converter valve

Abstract

This invention provides a method, system, and device for diagnosing live faults in a DC converter valve control system. The method includes: acquiring measured fault characteristic waveforms based on a converter valve secondary measurement system; extracting a typical fault waveform that is closest to the measured fault characteristic waveform as the initial analysis waveform; and fine-tuning the parameters of a simulation model of the converter valve system based on the initial analysis waveform, so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform, thereby determining the fault in the valve control system. This invention establishes a new fault data acquisition path independent of the valve control system's own waveform recording function using a converter valve secondary measurement system, avoiding the risk of single-point failure, improving the reliability of fault diagnosis and the overall safety redundancy of the system; and fine-tuning the simulation model parameters based on the initial analysis waveform reduces the workload of general diagnostic surveys, improves efficiency, and makes the diagnostic results more accurate.

Description

Technical Field

[0001] This invention belongs to the field of DC power transmission technology, specifically relating to a method, system, and equipment for diagnosing live faults in a DC converter valve control system. Background Technology

[0002] As a core component of the power transmission system, the ultra-high voltage direct current (UHVDC) converter valve plays a crucial role in converting AC to DC power. In a typical structure, each converter bridge arm constitutes an independent single valve, and high-voltage configuration is achieved through series and parallel connection of multiple valve groups. Power electronic devices switch between rectification and inversion operating modes through precise triggering control, completing the bidirectional energy transfer between the AC system and the UHVDC system.

[0003] As a core solution for large-capacity, long-distance power transmission and inter-regional power grid interconnection, the reliability of DC transmission systems directly affects the safe and stable operation of the power grid. The converter valve control system (referred to as the valve control system) is the core control unit of DC transmission, undertaking the critical tasks of precise triggering and status monitoring at the thyristor level; its operating status directly impacts the reliability of DC transmission.

[0004] A significant problem with valve control systems is their weakness in diagnosing optical link faults. Existing solutions rely heavily on the system's own waveform recording function, resulting in a limited approach. Hardware or software failures in the waveform recording system directly lead to the inability to locate the fault, creating a major safety hazard. This not only significantly increases the risk of converter valve commutation failure but also necessitates time-consuming and laborious manual checks of each optical link during troubleshooting, easily leading to unplanned converter valve shutdowns and substantial power losses. Summary of the Invention

[0005] To overcome the shortcomings of the prior art, this invention proposes a method for diagnosing live faults in a DC converter valve control system, comprising: Based on the secondary measurement system of the converter valve, the measured fault characteristic waveforms of the valve control system under energized conditions are obtained; Among the various typical fault waveforms of the pre-generated valve control system, the typical fault waveform that is closest to the measured fault characteristic waveform is extracted and used as the initial analysis waveform. Based on the initial fault parameters corresponding to the initial analysis waveform, the parameters of the pre-constructed simulation model of the converter valve system are fine-tuned so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. The fault of the valve control system is determined based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent.

[0006] Preferably, the step of fine-tuning the parameters of the pre-constructed simulation model of the converter valve system based on the fault parameters corresponding to the initial analysis waveform includes: By comparing the waveform differences between the initial analysis waveform and the measured fault characteristic waveform, key parameters of the difference are determined; the key parameters of the difference include trigger delay, trigger angle and / or optical link connection status parameters. Based on the fault parameters corresponding to the initial analysis waveform, the key parameters of the difference are fine-tuned in the pre-constructed simulation model of the converter valve system.

[0007] Preferably, the comparison of the waveform differences between the initial analysis waveform and the measured fault characteristic waveform includes: The timing synchronization, amplitude integrity, and frequency characteristics of the initial analysis waveform and the measured fault characteristic waveform are compared.

[0008] Preferably, the generation process of the various typical fault waveforms includes: Based on various typical fault types of valve control systems, the simulation model is used to generate various typical fault waveforms; the various typical fault types include trigger signal link faults, control signal link faults, and internal faults of the valve control device.

[0009] Preferably, the converter valve system includes the valve control system, a control and protection system that interacts with the valve control system, and an ultra-high voltage direct current converter valve.

[0010] Preferably, the simulation model includes: a simulation model in electromagnetic transient simulation software that simulates the optical link signal transmission path, valve control logic, and main circuit topology construction of the converter valve system.

[0011] Preferably, the acquisition of the measured fault characteristic waveform of the valve control system under energized conditions based on the secondary measurement system of the converter valve includes: The real-time data of the valve control system under energized conditions is obtained based on the measurement of the secondary measurement system of the converter valve to determine the fault status of the valve control system; the secondary measurement system of the converter valve includes a valve-side bushing voltage transformer; When the valve control system fails, the control and protection system is controlled to record waveforms to obtain the measured waveform of the valve control system at the time of the failure. Using the reference waveform of the valve control system during normal operation as a reference, the measured fault feature waveform is extracted from the measured waveform.

[0012] Based on the same inventive concept, the present invention also provides a live fault diagnosis system for a DC converter valve control system, comprising: The data acquisition module is used to acquire the measured fault characteristic waveforms of the valve control system under energized conditions based on the secondary measurement system of the converter valve. The analysis module is used to extract the typical fault waveform that is closest to the measured fault characteristic waveform from a variety of pre-generated typical fault waveforms of the valve control system, and use it as the initial analysis waveform. The model fine-tuning module is used to fine-tune the parameters of the pre-constructed simulation model of the converter valve system based on the initial fault parameters corresponding to the initial analysis waveform, so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. The fault determination module is used to determine the fault of the valve control system based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent.

[0013] Preferably, the model fine-tuning module includes: The comparison unit is used to compare the waveform differences between the initial analysis waveform and the measured fault characteristic waveform to determine the key parameters of the difference; the key parameters of the difference include trigger delay, trigger angle and / or optical link connection status parameters. The fine-tuning unit is used to fine-tune the key parameters of the difference in the pre-built simulation model of the converter valve system based on the fault parameters corresponding to the initial analysis waveform.

[0014] Preferably, the comparison unit is specifically used for: The timing synchronization, amplitude integrity, and frequency characteristics of the initial analysis waveform and the measured fault characteristic waveform are compared.

[0015] Preferably, the generation process of the various typical fault waveforms includes: Based on various typical fault types of valve control systems, the simulation model is used to generate various typical fault waveforms; the various typical fault types include trigger signal link faults, control signal link faults, and internal faults of the valve control device.

[0016] Preferably, the converter valve system includes the valve control system, a control and protection system that interacts with the valve control system, and an ultra-high voltage direct current converter valve.

[0017] Preferably, the simulation model includes: a simulation model in electromagnetic transient simulation software that simulates the optical link signal transmission path, valve control logic, and main circuit topology construction of the converter valve system.

[0018] Preferably, the data acquisition module is specifically used for: The real-time data of the valve control system under energized conditions is obtained based on the measurement of the secondary measurement system of the converter valve to determine the fault status of the valve control system; the secondary measurement system of the converter valve includes a valve-side bushing voltage transformer; When the valve control system fails, the control and protection system is controlled to record waveforms to obtain the measured waveform of the valve control system at the time of the failure. Using the reference waveform of the valve control system during normal operation as a reference, the measured fault feature waveform is extracted from the measured waveform.

[0019] Based on the same inventive concept, the present invention also provides a computer device, comprising: one or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, a live fault diagnosis method for a DC converter valve control system as described above is implemented.

[0020] Based on the same inventive concept, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, it implements the above-described method for diagnosing live faults in a DC converter valve control system.

[0021] Compared with the closest existing technology, the present invention has the following beneficial effects: This invention provides a method, system, and device for diagnosing live faults in a DC converter valve control system. The method includes: acquiring measured fault characteristic waveforms of the valve control system under energized conditions based on a secondary measurement system of the converter valve; extracting the typical fault waveform closest to the measured fault characteristic waveform from a variety of pre-generated typical fault waveforms of the valve control system, using it as the initial analysis waveform; fine-tuning the parameters of a pre-constructed simulation model of the converter valve system based on the initial fault parameters corresponding to the initial analysis waveform, so that the simulated fault waveform output by the simulation model tends to be consistent with the measured fault characteristic waveform; and determining the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent. The invention identifies faults in the valve control system. It employs a secondary measurement system for the converter valve to establish a novel fault data acquisition path independent of the valve control system's own waveform recording function. This facilitates cross-verification between subsequently measured fault characteristic waveforms and the valve control system's own waveform recording conclusions, effectively solving the single-point failure risk caused by the existing technology's reliance on valve control waveform recording. This significantly improves the reliability, accuracy, and overall safety redundancy of fault diagnosis. Furthermore, fine-tuning the simulation model parameters based on the initial fault parameters greatly reduces the workload of conducting optical link surveys, improving fault diagnosis efficiency. Simultaneously, the parameter fine-tuning makes the simulation model's results more accurate, thereby enhancing the precision of fault diagnosis. Attached Figure Description

[0022] Figure 1 A schematic flowchart of a live fault diagnosis method for a DC converter valve control system provided by the present invention; Figure 2A schematic diagram of a live fault diagnosis system for a DC converter valve control system provided by the present invention; Figure 3 This is a schematic diagram of an electronic device structure provided by the present invention. Detailed Implementation

[0023] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0024] Example 1: This invention provides a method for diagnosing live faults in a DC converter valve control system, such as... Figure 1 As shown, it includes: S1. Based on the secondary measurement system of the converter valve, obtain the measured fault characteristic waveform of the valve control system under energized condition; S2. Among the various typical fault waveforms of the pre-generated valve control system, extract the typical fault waveform that is closest to the measured fault characteristic waveform and use it as the initial analysis waveform. S3. Based on the initial fault parameters corresponding to the initial analysis waveform, fine-tune the parameters of the pre-constructed simulation model of the converter valve system so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. S4. Based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent, determine the fault of the valve control system.

[0025] Considering that fault diagnosis in existing valve control systems relies too heavily on the system's own waveform recording function, and that a malfunction in the waveform recording system makes it impossible to locate the fault point, requiring manual troubleshooting which is inefficient and risky, this invention establishes a new fault data acquisition path independent of the valve control system's own waveform recording function using a secondary measurement system for converter valves. This facilitates cross-verification between the measured fault characteristic waveforms and the waveform recording conclusions of the valve control system, effectively solving the single-point failure risk caused by the reliance on valve control waveform recording in existing technologies. This significantly improves the reliability, accuracy, and overall safety redundancy of fault diagnosis. Furthermore, fine-tuning the simulation model parameters based on the initial fault parameters greatly reduces the workload of conducting a comprehensive optical link survey, improving fault diagnosis efficiency. Simultaneously, the parameter fine-tuning makes the simulation model's results more accurate, thereby enhancing the precision of fault diagnosis.

[0026] Any physical fault will produce unique transient characteristics in electrical quantities. This method can effectively isolate the distortion mode introduced by optical link anomalies by comparing the differences between measured waveforms and ideal model simulation waveforms, i.e., typical fault waveforms. The core lies in constructing a high-precision fault diagnosis system driven by both simulation models and measured data. This system achieves accurate identification and location of optical link faults through the deep integration of real-time monitoring data and high-fidelity simulation models.

[0027] Considering that the purpose of this invention is to perform fault diagnosis without shutting down the system, it is necessary to rely on a measurement system that can continuously and safely collect data while the system is energized. Directly relying on the internal waveform data of the valve control system itself poses a risk of single-point failure. Therefore, in S1 above, an independent diagnostic data chain is established through the secondary measurement system of the converter valve.

[0028] In this embodiment, obtaining the measured fault characteristic waveform of the valve control system under energized conditions in step S1 above may include: The real-time data of the valve control system under energized conditions is obtained based on the measurement of the secondary measurement system of the converter valve to determine the fault status of the valve control system; the secondary measurement system of the converter valve includes a valve-side bushing voltage transformer; When the valve control system fails, the control and protection system is controlled to record waveforms to obtain the measured waveform of the valve control system at the time of the failure. Using the reference waveform of the valve control system during normal operation as a reference, the measured fault feature waveform is extracted from the measured waveform.

[0029] Specifically, the system quickly locates and acquires high-frequency transient waveform data recorded by the converter valve-related secondary measurement system before and after the fault. The converter valve-related secondary measurement system is a measuring device installed at key nodes of the converter valve to perform electrical isolation and signal conversion between the high-voltage main circuit and the low-voltage control and protection system. Its core function is to convert the high-voltage, high-current primary signal into a standard low-voltage, low-current secondary signal that can be used by the control and protection equipment and the diagnostic system of this invention.

[0030] In this embodiment, the secondary measurement system for the converter valve mainly includes a valve-side bushing PT (voltage transformer). The valve-side bushing PT is a secondary device used to monitor the voltage of the converter valve. It is a key measuring device installed on the valve side of the converter transformer, primarily used to monitor the voltage and current data of the converter valve in real time. When a fault occurs in the converter valve, the control and protection system determines the fault in both the converter valve and the valve control system based on the data sent by the valve-side bushing PT. It then activates the waveform recording function to record the valve-side voltage and DC voltage data at the time of the fault. Simultaneously, the control and protection system also activates the waveform recording function of the valve control system to record the self-recorded waveform signal data, providing a basis for subsequent judgment.

[0031] Subsequently, the recorded waveforms of the valve-side voltage and DC voltage at the time of the fault are precisely compared with the reference waveforms during normal operation to extract the fault characteristic waveforms that meet the fault criteria. For example, the effective value of the three-phase fundamental voltage on the valve side is too small for a long time or the effective value of the negative sequence fundamental voltage is too large.

[0032] In order to quickly narrow down the scope of fault investigation and improve diagnostic efficiency, in S2 above, by quickly matching the measured fault waveform with a feature library (including a variety of typical fault waveforms) that covers common fault modes, the initial indication of the fault type and the starting point for simulation adjustment, i.e., the initial analysis waveform, can be obtained quickly.

[0033] The multiple typical fault waveforms are a pre-generated fault feature reference database, in which each waveform data corresponds to a known, typical fault mode and its set parameters in the simulation model.

[0034] In this embodiment, the converter valve system includes the valve control system, a control and protection system that interacts with the valve control system, and an ultra-high voltage direct current converter valve.

[0035] In this embodiment, the simulation model includes: a simulation model that simulates the optical link signal transmission path, valve control logic, and main circuit topology construction of the converter valve system in electromagnetic transient simulation software.

[0036] The electromagnetic transient simulation software uses PSCAD simulation software. As an authoritative electromagnetic transient simulation software for power systems, PSCAD's core value lies in its ability to accurately simulate everything from simple circuits to large-scale AC / DC hybrid power grids through intuitive graphical modeling. Relying on a rich component model library and a powerful calculation engine, the software can accurately reproduce the microsecond-level dynamic response of the system during transient processes such as lightning, faults, and switching operations. It is widely used in key areas such as renewable energy grid connection, HVDC / FACTS system design, power quality management, and protection system testing. It is an indispensable core tool for power engineers to conduct system design analysis, fault diagnosis, and controller verification.

[0037] In the professional electromagnetic transient simulation software PSCAD, a detailed simulation model is constructed that can accurately reproduce the optical link signal transmission path, valve control logic, and main circuit topology of the converter valve system. This simulation model needs to be verified by actual operating data to ensure that it can highly reproduce the actual electromagnetic transient response of the equipment under normal and various typical fault conditions.

[0038] Specifically, equivalent models of three devices are established in the electromagnetic transient simulation software according to the connection relationship of the converter valve system. The control and protection system connects to the valve control system through interface signals. The control and protection system issues control signals according to the actual engineering situation, and the interface signals conform to the State Grid standard. The valve control system interacts with the control and protection system upwards and with the converter valve downwards. Based on the signals issued by the control and protection system and the logic of the valve control system, it issues trigger signals to the converter valve and reports status signals to the control and protection system. The system logic and interface signals of the valve control system are set according to the standard. The converter valve model receives the trigger signals from the valve control system and replies with trigger status signals. Based on the trigger signals and the converter valve circuit topology, it generates voltage and current simulation data for the converter valve.

[0039] In this embodiment, the generation process of the various typical fault waveforms in S2 above includes: Based on various typical fault types of valve control systems, the simulation model is used to generate various typical fault waveforms; the various typical fault types include trigger signal link faults, control signal link faults, and internal faults of the valve control device.

[0040] Specifically, in the PSCAD simulation model, various triggering and operating parameters of the converter valve can be set, such as the connection sequence of the triggering optical fiber. The simulation model can precisely set the actual boundary conditions of the system at the moment of fault occurrence (such as system voltage, firing angle, load current, etc.), simulating the voltage and current conditions of the converter valve under different typical fault conditions, and recording the voltage and current data at the moment of fault (i.e., various typical fault waveforms), establishing a fault database for quick comparison and fault location.

[0041] In addition to using simulation models for generation, various typical fault types can also be extracted from historical fault databases.

[0042] In addition, during the initial waveform extraction process, eigenvector distance matching or waveform morphology correlation analysis can be used for extraction. Specifically: Feature vector distance matching method: Extract the same feature vectors, such as quantized values ​​of timing, amplitude, and frequency features, from both the measured fault feature waveform and all pre-stored typical fault waveforms. Then, calculate the Euclidean distance or cosine similarity between the feature vector of the measured fault feature waveform and the feature vector of each typical fault waveform, and extract the typical fault waveform with the highest similarity or the smallest distance as the initial analysis waveform.

[0043] Waveform morphology correlation analysis method: Directly perform sliding window cross-correlation calculation on the measured fault characteristic waveform and each typical fault waveform, or use dynamic time warping algorithm to calculate the similarity of the overall waveform morphology, and extract the typical fault waveform with the highest correlation coefficient as the initial analysis waveform.

[0044] Due to individual differences in real-world systems, variations in operating conditions, and the complexity of faults, pre-stored typical fault waveforms are unlikely to perfectly match measured waveforms. Therefore, a dynamic adjustment process is needed to enable the simulation model to reproduce fault scenarios that highly match the measured fault characteristic waveforms, thereby deriving fault parameters that best reflect the actual situation.

[0045] In this embodiment, when fine-tuning the parameters in S3 above, it may include: S301. Compare the waveform differences between the initial analysis waveform and the measured fault characteristic waveform to determine the key difference parameters; the key difference parameters include trigger delay, trigger angle and / or optical link connection status parameters. S302. Based on the fault parameters corresponding to the initial analysis waveform, fine-tune the key parameters of the difference in the pre-constructed simulation model of the converter valve system.

[0046] Since the theoretical simulation model contains ideal equivalents, and the waveform recording results are limited by the sampling frequency of the monitoring equipment, it is necessary to remove noise and glitches from the waveform recording.

[0047] In this embodiment, S301 specifically includes: The timing synchronization, amplitude integrity, and frequency characteristics of the initial analysis waveform and the measured fault characteristic waveform are compared.

[0048] Among these, timing synchronization is crucial, particularly the rise and fall delays of the pulses and the timing differences at critical points. A timing synchronization failure in the converter valve indicates a fault in the triggering link, resulting in control signal transmission delays, which may suggest a device-related fault on the circuit board.

[0049] Amplitude integrity, with voltage and current amplitudes within the specified range, is a characteristic of normal operation of the converter valve. If the voltage or current is too low or too high, it means that the conduction of the thyristor in the converter valve is faulty, which may be due to wiring problems in the converter valve or a fault in the secondary monitoring equipment.

[0050] Frequency characteristics: Changes in the frequency of current and voltage changes affect the power of the converter valve. When the frequency of voltage and current changes is abnormal, it indicates a problem with the commutation angle of the converter valve. This may be due to a fault in the secondary equipment used to measure the status of the converter valve or a fault in the control and protection system that sends commutation commands.

[0051] In the above S302, by fine-tuning key parameters in the simulation model, such as trigger delay, trigger angle, and wiring method, the simulated waveform gradually approximates the measured fault characteristic waveform in terms of its main features. Specific fine-tuning methods can employ manual / semi-automatic optimization or automatic iterative optimization. Manual / Semi-automatic optimization: The diagnostic system will prompt the engineer with the key parameters of the difference and the suggested adjustment direction (such as "increase the trigger delay by 10μs"), and the engineer can manually modify them in the simulation model interface and re-simulate to observe the waveform changes.

[0052] Automatic Iterative Optimization: The diagnostic system incorporates optimization algorithms (such as gradient descent and genetic algorithms). The algorithm uses the reduction of the difference between the simulated waveform and the measured waveform as the objective function, and the key difference parameters as optimization variables. It automatically performs the steps of modifying parameters, running simulations, and calculating differences in the simulation model in a loop until the objective function reaches its minimum value (i.e., the difference tends to be consistent).

[0053] In S4 above, when the two converge, the nature of the fault can be accurately determined based on the extracted feature differences, combined with the pre-established fault feature library, the fault simulation parameters corresponding to the adjusted simulated fault waveform, and the equipment or optical link corresponding to the fault simulation parameters. Ultimately, the system can pinpoint the fault to the specific fiber optic channel or control board level, providing clear guidance for subsequent maintenance work.

[0054] Optical link faults in valve control systems can be categorized into trigger signal faults and control signal faults. Both types of faults can cause the converter valve to mis-trigger or fail to trigger, resulting in commutation failure and power loss. A trigger signal fault indicates that the signal link between the valve control system and the control and protection system is normal, but the signal link between the valve control system and the converter valve is faulty. A control signal fault indicates that the signal link between the valve control system and the converter valve is normal, but the signal link between the valve control system and the control and protection system is faulty. A device-related fault indicates that both the uplink and downlink signal links of the valve control system are normal, but the valve control system itself malfunctions, causing it to send incorrect trigger pulses and resulting in commutation failure.

[0055] Trigger signal fault simulation typically involves simulating faults on different trigger optical links of the converter valve to determine which optical link is causing the failure. Generally, a trigger signal fault only affects one thyristor trigger link. Based on the simulation results showing that only one thyristor link is faulty, the fault can be identified as a trigger signal fault.

[0056] Control signal fault simulation typically involves simulating a fault in one phase of a converter valve. For example, if the YY1 valve in a twelve-pulse converter valve fails to trigger, the fault may be due to a control signal failure.

[0057] In the specific implementation of fault determination, parameter mapping method or logical reasoning method can be used: Parameter mapping method: Establish a mapping rule table for abnormal values ​​of simulation model parameters to actual physical faults. For example, "the delay parameter of the No. 3 trigger fiber of the upper bridge arm of phase A is set to infinity" is mapped to "the No. 3 trigger fiber of the upper bridge arm of phase A is broken"; "all trigger angles of the YY valve group are offset by 30 degrees" is mapped to "the control signal receiving board of the YY valve group is faulty".

[0058] Logical reasoning method: Based on the adjusted parameter combination and the working principle of the converter valve, logical reasoning is performed. For example, if only the trigger parameter of a single thyristor level is abnormal, it is inferred that the trigger signal link is faulty; if the control parameters of the entire valve group are abnormal, it is inferred that the control signal link is faulty; if the parameter abnormality pattern does not conform to any known link fault, but causes erroneous triggering, it is inferred that the internal logic of the valve control device is faulty.

[0059] In summary, this invention, through precise simulation of the converter valve system, can accurately locate specific optical fiber positions, significantly reducing the workload of optical fiber surveys. When a specific link fails, the system can immediately pinpoint the fault point to the specific physical optical link by retrieving the timing position of the missing signal based on the fault diagnosis results. Furthermore, it establishes a novel diagnostic path independent of the valve control system's own waveform recording function, enabling live diagnosis without interrupting system operation. Subsequent findings can be strongly corroborated by the waveform recording conclusions of the valve control system itself, effectively solving the single-point failure risk caused by the reliance on valve control waveform recording in existing technologies, and greatly improving the reliability, accuracy, and overall safety redundancy of the system.

[0060] Example 2: Based on the same inventive concept, this invention also provides a live fault diagnosis system for a DC converter valve control system, such as... Figure 2 As shown, it includes: The data acquisition module is used to acquire the measured fault characteristic waveforms of the valve control system under energized conditions based on the secondary measurement system of the converter valve. The analysis module is used to extract the typical fault waveform that is closest to the measured fault characteristic waveform from a variety of pre-generated typical fault waveforms of the valve control system, and use it as the initial analysis waveform. The model fine-tuning module is used to fine-tune the parameters of the pre-constructed simulation model of the converter valve system based on the initial fault parameters corresponding to the initial analysis waveform, so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. The fault determination module is used to determine the fault of the valve control system based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent.

[0061] In this embodiment, the model fine-tuning module includes: The comparison unit is used to compare the waveform differences between the initial analysis waveform and the measured fault characteristic waveform to determine the key parameters of the difference; the key parameters of the difference include trigger delay, trigger angle and / or optical link connection status parameters. The fine-tuning unit is used to fine-tune the key parameters of the difference in the pre-built simulation model of the converter valve system based on the fault parameters corresponding to the initial analysis waveform.

[0062] In this embodiment, the comparison unit is specifically used for: The timing synchronization, amplitude integrity, and frequency characteristics of the initial analysis waveform and the measured fault characteristic waveform are compared.

[0063] In this embodiment, the generation process of the various typical fault waveforms includes: Based on various typical fault types of valve control systems, the simulation model is used to generate various typical fault waveforms; the various typical fault types include trigger signal link faults, control signal link faults, and internal faults of the valve control device.

[0064] In this embodiment, the converter valve system includes the valve control system, a control and protection system that interacts with the valve control system, and an ultra-high voltage direct current converter valve.

[0065] In this embodiment, the simulation model includes: a simulation model that simulates the optical link signal transmission path, valve control logic, and main circuit topology construction of the converter valve system in electromagnetic transient simulation software.

[0066] In this embodiment, the data acquisition module is specifically used for: The real-time data of the valve control system under energized conditions is obtained based on the measurement of the secondary measurement system of the converter valve to determine the fault status of the valve control system; the secondary measurement system of the converter valve includes a valve-side bushing voltage transformer; When the valve control system fails, the control and protection system is controlled to record waveforms to obtain the measured waveform of the valve control system at the time of the failure. Using the reference waveform of the valve control system during normal operation as a reference, the measured fault feature waveform is extracted from the measured waveform.

[0067] Example 3 like Figure 3As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0068] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the live fault diagnosis method of a DC converter valve control system in the above embodiments.

[0069] Example 4 Based on the same inventive concept, this invention also provides a readable storage device, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both built-in storage media within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can implement the steps of the live fault diagnosis method for a DC converter valve control system in the above embodiments.

[0070] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0072] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit its protection scope. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the protection scope of the claims of the present invention.

Claims

1. A method for diagnosing live faults in a DC converter valve control system, characterized in that, include: Based on the secondary measurement system of the converter valve, the measured fault characteristic waveforms of the valve control system under energized conditions are obtained; Among the various typical fault waveforms of the pre-generated valve control system, the typical fault waveform that is closest to the measured fault characteristic waveform is extracted and used as the initial analysis waveform. Based on the initial fault parameters corresponding to the initial analysis waveform, the parameters of the pre-constructed simulation model of the converter valve system are fine-tuned so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. The fault of the valve control system is determined based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent.

2. The method as described in claim 1, characterized in that, The step of fine-tuning the parameters of the pre-constructed simulation model of the converter valve system based on the fault parameters corresponding to the initial analysis waveform includes: By comparing the waveform differences between the initial analysis waveform and the measured fault characteristic waveform, key parameters of the difference are determined; the key parameters of the difference include trigger delay, trigger angle and / or optical link connection status parameters. Based on the fault parameters corresponding to the initial analysis waveform, the key parameters of the difference are fine-tuned in the pre-constructed simulation model of the converter valve system.

3. The method as described in claim 2, characterized in that, The comparison of the waveform differences between the initial analysis waveform and the measured fault characteristic waveform includes: The timing synchronization, amplitude integrity, and frequency characteristics of the initial analysis waveform and the measured fault characteristic waveform are compared.

4. The method according to any one of claims 1-3, characterized in that, The generation process of the various typical fault waveforms includes: Based on various typical fault types of valve control systems, the simulation model is used to generate various typical fault waveforms; the various typical fault types include trigger signal link faults, control signal link faults, and internal faults of the valve control device.

5. The method according to any one of claims 1-3, characterized in that, The converter valve system includes the valve control system, a control and protection system that interacts with the valve control system, and an ultra-high voltage direct current converter valve.

6. The method as described in claim 5, characterized in that, The simulation model includes a simulation model in electromagnetic transient simulation software that simulates the optical link signal transmission path, valve control logic, and main circuit topology construction of the converter valve system.

7. The method as described in claim 5, characterized in that, The secondary measurement system based on the converter valve acquires the measured fault characteristic waveforms of the valve control system under energized conditions, including: The real-time data of the valve control system under energized conditions is obtained based on the measurement of the secondary measurement system of the converter valve to determine the fault status of the valve control system; the secondary measurement system of the converter valve includes a valve-side bushing voltage transformer; When the valve control system fails, the control and protection system is controlled to record waveforms to obtain the measured waveform of the valve control system at the time of the failure. Using the reference waveform of the valve control system during normal operation as a reference, the measured fault feature waveform is extracted from the measured waveform.

8. A live fault diagnosis system for a DC converter valve control system, characterized in that, include: The data acquisition module is used to acquire the measured fault characteristic waveforms of the valve control system under energized conditions based on the secondary measurement system of the converter valve. The analysis module is used to extract the typical fault waveform that is closest to the measured fault characteristic waveform from a variety of pre-generated typical fault waveforms of the valve control system, and use it as the initial analysis waveform. The model fine-tuning module is used to fine-tune the parameters of the pre-constructed simulation model of the converter valve system based on the initial fault parameters corresponding to the initial analysis waveform, so that the simulated fault waveform output by the simulation model is consistent with the measured fault characteristic waveform. The fault determination module is used to determine the fault of the valve control system based on the fault simulation parameters corresponding to the simulated fault waveform when they tend to be consistent.

9. An electronic device, characterized in that, include: At least one processor and memory; The memory and processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the live fault diagnosis method for the DC converter valve control system as described in any one of claims 1 to 7 is implemented.

10. A readable storage device, characterized in that, It contains an execution program, which, when executed, implements the live fault diagnosis method for the DC converter valve control system as described in any one of claims 1 to 7.

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