A thyristor switching interruption control method and system based on harmonic interference adaptive regulation

Abstract

The present invention provides a thyristor commutation shutdown control method and system based on harmonic interference adaptive regulation, relating to the field of data processing technology. The method comprises: acquiring initial data related to thyristor shutdown by detecting the current operating state of the thyristor to form an original shutdown data set; calculating an expected commutation voltage value based on the original shutdown data set, and generating a commutation trigger signal in combination with external harmonic interference parameters; adjusting the inductance and capacitance values ​​in the commutation circuit according to the commutation trigger signal; monitoring the change trend of the anode-cathode voltage of the thyristor in real time when performing the commutation operation, and fine-tuning the inductance value of the commutation circuit according to the change trend; completing the shutdown when the change trend of the anode-cathode voltage of the thyristor is rapidly rising and stable; collecting and storing dynamic parameter data of the shutdown process to generate a thyristor shutdown report. The present invention improves the autonomy and accuracy of thyristor shutdown.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a thyristor switching interruption control method and system based on harmonic interference adaptive regulation. Background Art

[0002] Thyristors are semiconductor devices widely used in power electronics, primarily for controlling the conduction and interruption of current. In existing technologies, thyristor shutdown is typically achieved by applying a negative voltage or reducing the forward current. For example, in high-voltage direct current (HVDC) transmission systems, forced commutation is used to switch thyristors from the on state to the off state. This typically involves using an additional commutation circuit to reverse the voltage applied to the thyristor to a negative voltage, dissipating the charge and achieving shutdown. However, ensuring complete thyristor shutdown requires stringent design parameters for the commutation circuit, including matching the inductor and capacitor, and their dynamic adjustment.

[0003] However, existing thyristor turn-off methods can face serious adaptability issues in rapidly changing power grid environments. For example, in scenarios with abundant harmonics or frequent grid fluctuations, the commutation circuit parameters may not be adjusted in real time, resulting in the thyristors being unable to shut down reliably or even causing false triggering. In this case, the stability of the power grid is threatened, potentially causing equipment damage or system failure. This shortcoming is particularly evident in high-frequency power conversion devices in the industrial sector, as they require frequent thyristor shut-off to achieve rapid power regulation, making it difficult for existing technologies to meet their high reliability requirements. Summary of the Invention

[0004] The object of the present invention is to provide a thyristor switching interruption control method and system based on harmonic interference adaptive regulation, aiming to solve the problems mentioned in the background technology.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0006] In a first aspect, a thyristor switching interruption control method based on harmonic interference adaptive regulation is provided, the method comprising:

[0007] By detecting the current operating state of the thyristor, the initial data related to the thyristor shutdown is obtained, including the current value, forward voltage value and external harmonic interference data, to form the original shutdown data set;

[0008] Calculating the expected commutation voltage value based on the original shutdown data set and combining it with the external harmonic interference parameters to generate a commutation trigger signal, which is used to drive the commutation circuit to perform commutation operation;

[0009] According to the commutation trigger signal, the inductance and capacitance values ​​in the commutation circuit are adjusted so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value, thereby generating dynamic adjustment data for the commutation circuit;

[0010] When performing commutation operation, the change trend of the anode-cathode voltage of the thyristor is monitored in real time, and the inductance value of the commutation circuit is fine-tuned according to the change trend to generate commutation circuit parameter data;

[0011] When the anode-cathode voltage of the thyristor increases rapidly and becomes stable, a shutdown completion signal is generated;

[0012] Collect and store dynamic parameter data of the shutdown process to form a shutdown data set;

[0013] Generate a thyristor shutdown report based on the shutdown data set, including the thyristor operating parameters at each stage of the shutdown process and the commutation circuit parameters.

[0014] Preferably, the method acquires initial data related to thyristor shutdown by detecting the current operating state of the thyristor, including current value, forward voltage value and external harmonic interference parameters, to form an original shutdown data set, including:

[0015] Collect the real-time signals of thyristor input current and voltage to generate input signal data;

[0016] Preprocess the input signal data, including denoising, filtering and normalization, to generate clean signal data;

[0017] Based on the clean signal data, fast Fourier transform is used to perform frequency domain analysis to extract the harmonic frequency components other than the fundamental wave and their amplitude characteristics to generate harmonic component data;

[0018] According to the spectrum characteristics of the harmonic component data, the key harmonic components are extracted by segmented sampling, and the key harmonic components are subjected to frequency domain weighting processing to generate external harmonic interference data;

[0019] The external harmonic interference data, the real-time current value data and the forward voltage value data of the thyristor are combined to generate the original shutdown data set.

[0020] Preferably, the step of calculating the expected commutation voltage value based on the current value and the forward voltage value in the original shutdown data set and generating the commutation trigger signal in combination with the external harmonic interference parameter includes:

[0021] According to the current value, forward voltage value and external harmonic interference data in the original shutdown data set, the expected commutation voltage value is calculated to generate the expected commutation voltage data; wherein,

[0022] , is the expected commutation voltage, For the moment The instantaneous current of the thyristor, is the forward voltage of the thyristor, is the reference voltage, is the adjustment coefficient, For the The interference intensity of the harmonic components of order, For the The weight coefficient of the harmonic component of order, For the The adjustment coefficient of the harmonic component of the order, The highest order calculated for harmonics;

[0023] According to the external harmonic interference data, the commutation time window parameters are calculated to generate the commutation time window data; wherein,

[0024] , is the commutation time window, is the basic commutation time window, is the adjustment coefficient;

[0025] The expected commutation voltage data and the commutation time window data are jointly analyzed. According to the timing requirements of the commutation time window and the expected commutation voltage value, the trigger time is calculated to generate a preliminary commutation trigger signal.

[0026] According to the electrical characteristics of the commutation circuit, the preliminary commutation trigger signal is shaped to generate a commutation trigger signal.

[0027] Preferably, the calculation formula for the trigger time is:

[0028] , is the commutation trigger time, is the shortest trigger time, and is the adjustment coefficient.

[0029] Preferably, adjusting the inductance and capacitance values ​​in the commutation circuit so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value, and generating dynamic adjustment data for the commutation circuit includes:

[0030] Receive a commutation trigger signal, and collect initial inductance parameters and initial capacitance parameters of the current commutation loop to generate initial parameter data of the commutation loop;

[0031] According to the expected commutation voltage data and commutation time window data, the inductance parameters of the commutation circuit are gradually optimized and adjusted to generate optimized inductance parameter data;

[0032] , For the Optimized inductance value after 1 iteration, For the The optimized inductance value after iterations is To optimize the step size, is the reference inductance value, Optimize the objective function for inductance About Optimizing Inductance The partial derivative of ; where,

[0033] ,in, For the The usage time of iterations, For the The commutation voltage after iterations is 、 and is the weight coefficient;

[0034] According to the optimized inductance parameter data, the capacitance parameters of the commutation circuit are dynamically configured to generate dynamic capacitance parameter data; wherein,

[0035] ,in, is the dynamic capacitance value, is the initial capacitance, For the final optimized inductance value, is the weight coefficient, is the reference time, is the adjustment coefficient, This is a minor adjustment item;

[0036] According to the initial parameter data of the commutation circuit, the optimized inductance parameter data and the dynamic capacitance parameter data, the dynamic adjustment data of the commutation circuit is generated, including the inductance adjustment value and the capacitance adjustment value.

[0037] Preferably, when performing the commutation operation, the change trend of the anode-cathode voltage of the thyristor is monitored in real time, and the inductance value of the commutation circuit is fine-tuned according to the change trend to generate the commutation circuit parameter data, including:

[0038] By collecting the anode-cathode voltage state of the thyristor in real time, the anode-cathode voltage characteristics are extracted and the anode-cathode voltage curve data is generated;

[0039] According to the anode-cathode voltage curve data, the voltage rise rate and fluctuation amplitude are calculated to generate voltage change rate characteristic data;

[0040] Comparing the voltage change rate characteristic data with a preset shutdown determination threshold to obtain a comparison result;

[0041] When the comparison result does not meet the preset shutdown determination threshold requirement, the inductance parameters and capacitance parameters of the commutation circuit are fine-tuned in sequence according to the voltage change rate characteristic data to generate commutation circuit parameter data.

[0042] Preferably, the commutation loop parameter data includes fine-tuning inductance parameters and fine-tuning capacitance parameters, and the calculation formulas thereof are respectively:

[0043] ,in, To fine-tune the inductance value, and is the adjustment coefficient, is the instantaneous rate of change of the anode-cathode voltage;

[0044] ,in, To fine-tune the capacitor value, 、 and is the adjustment coefficient, is the anode-cathode voltage fluctuation amplitude.

[0045] In a second aspect, a thyristor switching interruption control system based on adaptive control of harmonic interference is provided, the system comprising:

[0046] The data collection module is used to obtain initial data related to the thyristor shutdown by detecting the current operating state of the thyristor, including current value, forward voltage value and external harmonic interference data, to form an original shutdown data set;

[0047] A trigger signal generation module is used to calculate the expected commutation voltage value based on the original shutdown data set and generate a commutation trigger signal in combination with the external harmonic interference parameter. The commutation trigger signal is used to drive the commutation circuit to perform commutation operation;

[0048] A loop dynamic adjustment module is used to adjust the inductance and capacitance values ​​in the commutation loop according to the commutation trigger signal so that the voltage waveform generated by the commutation loop matches the expected commutation voltage value and generate commutation loop dynamic adjustment data;

[0049] The circuit fine-tuning module is used to monitor the change trend of the anode-cathode voltage of the thyristor in real time when performing the commutation operation, and fine-tune the inductance value of the commutation circuit according to the change trend to generate the commutation circuit parameter data;

[0050] A shutdown signal generating module, configured to generate a shutdown completion signal when the anode-cathode voltage of the thyristor increases rapidly and stabilizes;

[0051] The shutdown process monitoring module is used to collect and store dynamic parameter data of the shutdown process to form a shutdown data set;

[0052] The report generation module is used to generate a thyristor turn-off report based on the turn-off data set, including the operating parameters of the thyristor at each stage of the turn-off process and the commutation circuit parameters.

[0053] The above solution of the present invention includes at least the following beneficial effects:

[0054] During the operation of power electronic devices, the reliable shutdown of thyristors is crucial to the stability and safety of the system. Existing technologies usually rely on fixed-parameter commutation circuits to force commutation, so that the thyristors switch from the on state to the off state. However, in actual applications, the power grid environment may be affected by factors such as harmonic interference and voltage fluctuations, resulting in the inability to adjust the parameters of the commutation circuit in real time, thereby affecting the commutation success rate of the thyristors. Especially in high-frequency power conversion systems or scenarios with frequent power grid fluctuations, fixed-parameter commutation circuits are difficult to adapt to the rapid changes in grid conditions, which may cause commutation failure, false triggering, or the inability of the thyristors to be completely shut down, thereby affecting the reliability of the entire system.

[0055] Compared to existing technologies, this solution improves commutation adaptability and reliability by monitoring the thyristor's operating status in real time and, in combination with external harmonic interference data, calculating and optimizing key parameters of the commutation process. First, by acquiring the thyristor's current and forward voltage values, as well as external harmonic interference data, a raw turn-off data set is generated. Based on this data set, the expected commutation voltage is calculated. Traditional commutation methods typically rely on a fixed commutation voltage. However, this solution, by incorporating external harmonic interference data, enables adaptive adjustment of the commutation voltage, thereby improving commutation accuracy and avoiding commutation failures caused by harmonic interference.

[0056] Secondly, this solution dynamically calculates the commutation trigger signal to ensure that the voltage waveform of the commutation circuit is consistent with the expected commutation voltage. The commutation trigger signal is generated based on the expected commutation voltage calculated from current operating data and external harmonic interference data, ensuring that the commutation process meets the current grid environment requirements without being restricted by the fixed-parameter commutation circuit. Furthermore, during the commutation process, the inductance and capacitance values ​​of the commutation circuit are adjusted according to the commutation trigger signal, making the commutation voltage curve smoother. This prevents voltage overshoot or oscillation during commutation and improves commutation stability.

[0057] Furthermore, to further ensure commutation accuracy, this solution monitors the thyristor's anode-cathode voltage trends in real time during the commutation process and fine-tunes the commutation circuit's inductance based on these trends, adapting the commutation process to the current grid environment. When the thyristor's anode-cathode voltage rises rapidly and remains stable, the system generates a shutdown completion signal, signaling the successful completion of the commutation process. This commutation determination method, based on anode-cathode voltage trends, improves commutation accuracy and avoids misjudgments caused by commutation parameter mismatches. Furthermore, this solution stores dynamic data during the shutdown process and generates thyristor shutdown reports based on this stored data, enabling subsequent optimization and adjustment of the system to adapt to different application scenarios and enhance the intelligence of thyristor commutation control.

[0058] Compared to traditional thyristor commutation, this solution effectively improves the reliability and adaptability of thyristor commutation through intelligent commutation trigger signal calculation, adaptive commutation circuit parameter adjustment, real-time voltage monitoring, and dynamic data storage. This significantly reduces the risk of commutation failure, particularly in scenarios with severe harmonic interference and frequent grid fluctuations. This method is applicable to a variety of applications, including DC transmission, high-frequency power conversion, and grid regulation, ensuring stable system operation and reducing equipment damage or system crashes caused by commutation failures, thereby improving overall system safety and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is a flowchart of a thyristor switching interruption control method based on harmonic interference adaptive regulation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0060] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0061] like Figure 1 As shown, an embodiment of the present invention provides a thyristor switching interruption control method based on harmonic interference adaptive regulation, the method comprising:

[0062] S100, by detecting the current operating state of the thyristor, obtaining initial data related to the thyristor shutdown, including current value, forward voltage value and external harmonic interference data, to form an original shutdown data set;

[0063] S200, calculating an expected commutation voltage value based on the original shutdown data set, and generating a commutation trigger signal in combination with an external harmonic interference parameter, wherein the commutation trigger signal is used to drive the commutation circuit to perform a commutation operation;

[0064] S300, adjusting the inductance and capacitance values ​​in the commutation circuit according to the commutation trigger signal so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value, thereby generating dynamic adjustment data for the commutation circuit;

[0065] S400, when performing a commutation operation, monitoring the change trend of the anode-cathode voltage of the thyristor in real time, and fine-tuning the inductance value of the commutation circuit according to the change trend to generate commutation circuit parameter data;

[0066] S500, when the anode-cathode voltage of the thyristor increases rapidly and becomes stable, a shutdown completion signal is generated;

[0067] S600, collecting and storing dynamic parameter data of the shutdown process to form a shutdown data set;

[0068] S700 : Generate a thyristor shutdown report according to the shutdown data set, where the thyristor shutdown report includes operating parameters of the thyristor at each stage during the shutdown process and dynamically adjusted commutation loop parameters.

[0069] In an embodiment of the present invention, by acquiring current operating status data, calculating the expected commutation voltage, and adjusting the commutation circuit parameters in real time, and detecting the current operating status of the thyristor, initial data related to thyristor shutdown, including current value, forward voltage value, and external harmonic interference data, can be obtained to form an original shutdown data set. Based on this data set, the expected commutation voltage value is calculated, and a commutation trigger signal is generated in combination with the external harmonic interference parameters. The commutation trigger signal is used to drive the commutation circuit to perform commutation operations so that the commutation voltage matches the expected commutation voltage value. During the commutation operation, the changing trend of the thyristor's anode-cathode voltage is monitored in real time, and the inductance value of the commutation circuit is fine-tuned based on this changing trend to ensure the stability of the commutation process. When the changing trend of the thyristor's anode-cathode voltage shows a rapid increase and stability, a shutdown completion signal is generated, indicating the completion of the thyristor shutdown operation. At the same time, the dynamic parameter data of the shutdown process is collected and stored to form a complete data set of the commutation process. A shutdown report is generated based on this data, including the operating parameters of the thyristor at each stage of the shutdown process and the commutation circuit parameters.

[0070] During the shutdown process, real-time acquisition and calculation of various operating parameters effectively improves commutation accuracy. Commutation trigger signals are generated based on expected commutation voltages and external harmonic interference data, enabling the commutation circuit to adapt to varying commutation conditions and ensuring accurate commutation voltages. Compared to traditional commutation methods, dynamic adjustment of the commutation circuit improves commutation voltage matching and avoids commutation failures caused by fixed commutation circuit parameters. The inductance and capacitance values ​​of the commutation circuit are adjusted in real time based on the commutation trigger signal, ensuring that the commutation voltage waveform conforms to the expected commutation voltage characteristics, thereby increasing the success rate of commutation. During commutation, real-time monitoring of the thyristor anode-cathode voltage enables rapid identification of voltage fluctuations during commutation, enabling further fine-tuning of commutation circuit parameters for a more stable commutation process. After commutation is complete, the dynamic parameter data of the shutdown process is stored and generated into a shutdown report. This report can be used for subsequent optimization of commutation parameters and provides data support for improvements to the commutation process. This process improves the adaptability of thyristor commutation, enabling stable operation in diverse electromagnetic environments.

[0071] Among them, when the change trend of the anode-cathode voltage of the thyristor is rapidly rising and stable, a shutdown completion signal is generated. Specifically:

[0072] The change trend of the anode-cathode voltage can directly reflect the voltage adjustment effect during the commutation process. During the commutation process of the thyristor, the anode-cathode voltage usually undergoes the following changes:

[0073] After the commutation trigger signal is issued, the commutation voltage of the commutation circuit acts on the thyristor, causing the anode-cathode voltage to gradually decrease.

[0074] When the commutation process is nearly complete, the anode-cathode voltage begins to rise rapidly and then tends to stabilize.

[0075] If the voltage changes slowly or oscillates during the commutation process, it may indicate that there is still residual charge inside the thyristor and the commutation process has not been fully completed.

[0076] In order to accurately determine whether the commutation process is stable, real-time data of the anode-cathode voltage needs to be collected and its changing trend analyzed. During the data collection process, the voltage value of the anode-cathode voltage at each moment is continuously recorded to form a curve showing the voltage change over time. The main characteristics of this curve include:

[0077] Voltage rise rate, that is, the voltage change amplitude per unit time;

[0078] Voltage fluctuation amplitude, that is, whether the voltage fluctuates violently in a short period of time;

[0079] Voltage stability, that is, whether the voltage remains stable after reaching a certain level.

[0080] If the voltage change rate is slow or there are large fluctuations, it means that the inductance or capacitance value of the commutation circuit may be deviated and further fine-tuning is required to ensure that the commutation process meets expectations.

[0081] When the parameters of the commutation circuit are adjusted so that the anode-cathode voltage change trend meets the following conditions, the thyristor can be determined to be successfully turned off:

[0082] The anode-cathode voltage rises rapidly, indicating that the thyristor commutation is basically completed;

[0083] The voltage rises and then remains stable, indicating that the thyristor is no longer conducting and there is no residual charge.

[0084] When the above conditions are met, the commutation system generates a shutdown completion signal to mark the end of the commutation process. The shutdown completion signal is not only used to notify the system that the commutation has been successfully completed, but also can trigger other related control logic, such as:

[0085] Close the commutation circuit to restore it to its initial state and prepare for the next commutation;

[0086] Record the time it takes for commutation to be completed and provide data support for analyzing the success rate of the commutation process;

[0087] It works in conjunction with other power equipment to ensure that the commutation process of the entire power system is coordinated and consistent.

[0088] In special cases, if the voltage fluctuation is still large during the commutation process, the commutation system will not generate a shutdown completion signal, but will continue to adjust the parameters of the commutation circuit until the commutation process is completely stable.

[0089] The dynamic parameter data of the shutdown process is collected and stored to form a shutdown data set. Specifically:

[0090] The commutation process involves dynamic changes in multiple key parameters, including:

[0091] The timing of the commutation trigger signal;

[0092] The process of adjusting the inductance and capacitance values ​​of the commutation circuit;

[0093] Anode-cathode voltage variation curve;

[0094] The moment when the shutdown completion signal is generated.

[0095] To improve the reliability of commutation control, this data needs to be stored for subsequent analysis and optimization of the commutation process. During data storage, the commutation system records key parameters during the commutation process and organizes them into a commutation dataset in chronological order. This dataset can be stored in a ring buffer or a database for subsequent access and analysis.

[0096] A thyristor shutdown report is generated based on the shutdown data set. The thyristor shutdown report includes the operating parameters of the thyristor at each stage of the shutdown process and the dynamically adjusted commutation circuit parameters. Specifically:

[0097] The report contains the operating parameters and commutation circuit parameters of each stage of the commutation process. The contents of the shutdown report usually include:

[0098] Commutation start data: the initial values ​​of the time, current and voltage of the commutation trigger signal.

[0099] Commutation process data: the process of adjusting the commutation circuit parameters, including changes in inductance and capacitance values.

[0100] Voltage change trend: The curve of the anode-cathode voltage change over time, including data such as voltage rise rate and voltage fluctuation amplitude.

[0101] Commutation success determination data: the time to generate the shutdown completion signal, and the statistical data of whether the commutation is successful or not.

[0102] The generation of shutdown reports provides data support for optimizing the commutation process. During subsequent commutation processes, past commutation data can be referenced to optimize commutation parameters and improve commutation success rates. Furthermore, long-term storage and analysis of commutation data can be used for equipment health monitoring. By analyzing changes in thyristor commutation characteristics, potential thyristor failures can be identified in advance, improving equipment reliability.

[0103] In a preferred embodiment of the present invention, the initial data related to the thyristor shutdown is obtained by detecting the current operating state of the thyristor, including the current value, the forward voltage value, and the external harmonic interference parameter, to form an original shutdown data set, including:

[0104] Collect the real-time signals of thyristor input current and voltage to generate input signal data;

[0105] Preprocess the input signal data, including denoising, filtering and normalization, to generate clean signal data;

[0106] Based on the clean signal data, fast Fourier transform is used to perform frequency domain analysis to extract the harmonic frequency components other than the fundamental wave and their amplitude characteristics to generate harmonic component data;

[0107] According to the spectrum characteristics of the harmonic component data, the key harmonic components are extracted by segmented sampling, and the key harmonic components are subjected to frequency domain weighting processing to generate external harmonic interference data;

[0108] The external harmonic interference data, the real-time current value data and the forward voltage value data of the thyristor are combined to generate the original shutdown data set.

[0109] In an embodiment of the present invention, an original shutdown data set can be formed by collecting thyristor input current, forward voltage and external harmonic interference data. The accuracy of the original shutdown data has an important impact on the generation of the commutation trigger signal. The collected input signal data is preprocessed, including denoising, filtering and normalization, so that the input data can eliminate environmental interference and improve the stability of the signal. On the basis of data processing, the signal is analyzed in the frequency domain using fast Fourier transform to extract the harmonic frequency components other than the fundamental wave and their amplitude characteristics to generate harmonic component data. The calculation of the harmonic component data enables the impact of external harmonic interference on the commutation process to be quantified, thereby avoiding commutation failure caused by harmonic interference.

[0110] Based on the spectral characteristics of the harmonic component data, a segmented sampling method is used to extract key harmonic components. These components are then subjected to frequency-domain weighted processing to generate external harmonic interference data. This segmented sampling method effectively suppresses harmonic interference during the commutation process and optimizes the accuracy of commutation parameter calculations. External harmonic interference data, along with real-time thyristor current and forward voltage data, are combined to form a complete raw turn-off data set, providing data support for commutation parameter calculations. Compared to commutation methods based on time-domain signal calculations, harmonic processing based on frequency-domain analysis can more accurately identify the impact of harmonic interference, making the calculation of commutation trigger signals more precise and improving the commutation process's anti-interference capability.

[0111] In one case of this embodiment, the frequency domain analysis is performed using fast Fourier transform based on the clean signal data to extract the harmonic frequency components other than the fundamental wave and their amplitude characteristics, thereby generating harmonic component data. The core of this part is to process the current signal or voltage signal input by the thyristor to extract the harmonic characteristic information other than the fundamental wave for subsequent analysis and optimization, which specifically includes:

[0112] Acquisition of clean signal data: Clean signal data is typically acquired through signal acquisition devices such as current sensors and voltage sensors. During signal acquisition, preliminary filtering and denoising are required to remove any random noise that may be present in the system and ensure signal stability and reliability.

[0113] Fast Fourier Transform (FFT) analysis is performed on clean signal data to convert the time-domain signal into the frequency domain. The FFT decomposes the input signal into multiple frequency components, obtaining the frequency, amplitude, and phase information for each component. The fundamental component corresponds to the main frequency of the signal, while the remaining frequency components are harmonics, which include high-frequency components introduced by nonlinear loads or interference in the power grid.

[0114] Extracting harmonic components other than the fundamental: Remove the fundamental component from the frequency domain signal, retaining the data of all harmonic components, including their frequency and amplitude characteristics. This harmonic component data is used to describe the nonlinear characteristics of the power grid or the intensity of external harmonic interference.

[0115] Generate harmonic component data: Harmonic component data includes detailed information about multiple frequency components, such as frequency values, corresponding amplitudes, and harmonic order. This data can be recorded in a specific storage format for subsequent analysis.

[0116] In one case of this embodiment, extracting key harmonic components by using a segmented sampling method based on the spectral characteristics of the harmonic component data, and performing frequency domain weighted processing on the key harmonic components to generate external harmonic interference data specifically includes:

[0117] Segmented sampling extracts key harmonic components: Harmonic component data typically contains multiple frequency components, each with varying strengths and impacts. By analyzing the harmonic spectrum characteristics, it is possible to determine which frequency components have a significant impact on system operation. Segmented sampling divides the harmonic spectrum into multiple frequency bands, and within each band, the key harmonic components that have the greatest impact on system dynamics are extracted. This operation significantly reduces computational effort while retaining the information most valuable for dynamic adjustments to the commutation circuit.

[0118] Frequency-domain weighting of key harmonic components: Extracted key harmonic components are weighted in the frequency domain, assigning different weights based on the degree of impact each frequency band has on the system. For example, low-frequency harmonics may have a greater impact on current distortion, while high-frequency harmonics may have a more significant effect on voltage fluctuations in the commutation circuit. Weighted harmonic data more accurately reflects the actual impact of harmonic interference.

[0119] Generate external harmonic interference data: Combine all weighted key harmonic component data to generate external harmonic interference data. This data is used to describe the overall characteristics of grid harmonic interference and provide a basis for generating commutation trigger signals and dynamically adjusting loop parameters.

[0120] In a preferred embodiment of the present invention, the step of calculating the expected commutation voltage value based on the current value and the forward voltage value in the original shutdown data set and generating the commutation trigger signal in combination with the external harmonic interference parameter includes:

[0121] According to the current value, forward voltage value and external harmonic interference data in the original shutdown data set, the expected commutation voltage value is calculated to generate the expected commutation voltage data; wherein,

[0122] ,in, is the expected commutation voltage, For the moment The instantaneous current of the thyristor, is the forward voltage of the thyristor, is the reference voltage, is the adjustment coefficient, For the The interference intensity of the harmonic components of order, For the The weight coefficient of the harmonic component of order, For the The adjustment coefficient of the harmonic component of the order, The highest order calculated for harmonics;

[0123] According to the external harmonic interference data, the commutation time window parameters are calculated to generate the commutation time window data; wherein,

[0124] , is the commutation time window, is the basic commutation time window, is the adjustment coefficient;

[0125] The expected commutation voltage data and the commutation time window data are jointly analyzed. According to the timing requirements of the commutation time window and the expected commutation voltage value, the trigger time is calculated to generate a preliminary commutation trigger signal.

[0126] The calculation formula of the trigger time is:

[0127] , is the commutation trigger time, is the shortest trigger time, is the acquisition cycle time, and is the adjustment coefficient;

[0128] According to the electrical characteristics of the commutation circuit, the preliminary commutation trigger signal is shaped to generate a commutation trigger signal.

[0129] In this embodiment of the present invention, the commutation trigger signal is generated based on the current values, forward voltage values, and external harmonic interference data from the original shutdown dataset. First, the expected commutation voltage is calculated using the original shutdown dataset to ensure the matching of the commutation voltages during the commutation process. This calculation of the expected commutation voltage enables accurate prediction of the commutation characteristics of the commutation circuit, providing a basis for generating the commutation trigger signal. During the calculation of the commutation time window, the dynamic fluctuations of the external harmonic interference data are taken into account, allowing the commutation time window parameters to adapt to the timing requirements of the commutation process and ensure that the commutation trigger signal is triggered at the correct time.

[0130] After jointly analyzing the expected commutation voltage data and the commutation time window data, the trigger time is calculated based on the timing requirements of the commutation time window and the expected commutation voltage value, and a preliminary commutation trigger signal is generated. This trigger time calculation enables more precise timing control of the commutation process, avoiding commutation failures caused by commutation time mismatches. After the commutation trigger signal is generated, the preliminary commutation trigger signal is shaped based on the electrical characteristics of the commutation circuit to ensure its stability and enable it to accurately drive the commutation circuit to perform commutation operations.

[0131] Compared to traditional commutation methods, the commutation trigger signal is generated based on the expected commutation voltage and the commutation time window. This allows the commutation trigger signal to adapt to different commutation conditions and improves the commutation success rate. The dynamic fluctuation characteristics of external harmonic interference are taken into account during the calculation of the commutation trigger signal, allowing the commutation time window to be dynamically adjusted according to changes in the harmonic environment, further optimizing the stability of the commutation process. Signal shaping processing of the commutation trigger signal improves the reliability of the commutation signal, ensures the commutation action of the commutation circuit is executed accurately, and improves the turn-off stability of the thyristors.

[0132] Among them, In the expected commutation voltage Calculated from the current operating state of the thyristor, it is mainly affected by the current , forward voltage and external harmonic interference Influence.

[0133] Molecular part: The ratio ensures that the effect of the forward voltage is properly normalized, It reflects the basic contribution of current and voltage to the commutation voltage, among which As a nonlinear parameter, the commutation voltage can be adaptively adjusted according to the voltage characteristics.

[0134] Denominator: Reflects the influence of harmonic interference, Control the weight of different order harmonics on the commutation voltage, Amplify or reduce the impact of high-order harmonics according to set rules.

[0135] The calculation formula of the expected commutation voltage can adapt to different thyristor operating conditions, making the commutation voltage calculation more accurate. The numerator is based on the relationship between the current current and the forward voltage to ensure that the commutation voltage matches the actual working state. The denominator takes into account the influence of harmonic interference and can dynamically correct the commutation voltage to avoid the problem of unstable commutation voltage caused by harmonics. Compared with the traditional commutation voltage calculation method, this method can combine the harmonic influence of the external environment to make the commutation voltage more stable and improve the commutation success rate. By adjusting parameters, such as 、 and , this calculation formula can adapt to different power environments and improve the adaptability of commutation.

[0136] Example scenario:

[0137] In a high-voltage direct current (HVDC) transmission system, a thyristor commutates with an input current of 500A and a forward voltage of 400V, but is subject to 5% harmonic interference. If harmonic interference is not accounted for, the calculated commutation voltage may be too high, leading to commutation failure. This calculation formula automatically adjusts the commutation voltage, ensuring accurate prediction of the commutation voltage even in the presence of harmonic interference.

[0138] When the harmonic impact is small (e.g. 1%), the commutation voltage is only slightly adjusted to maintain commutation accuracy.

[0139] When the harmonic impact is large (for example, 10%), the commutation voltage is appropriately reduced to avoid commutation failure caused by excessive harmonics and improve commutation stability.

[0140] Ensure that the commutation process is controllable, avoid commutation failure due to voltage misjudgment, and improve the adaptability of commutation.

[0141] Among them, In the commutation time window Calculation based on basic commutation time and harmonic interference , and dynamically adjust the commutation time window by calculating the harmonic impact.

[0142] Basic commutation time window :Indicates the commutation time under ideal conditions, and the time required for the commutation process when it is not affected by harmonics.

[0143] Correction : Used to adjust the commutation time window to adapt to the external harmonic interference environment.

[0144] The calculation formula can dynamically adjust the commutation time window according to the changes in external harmonic interference, making the commutation process more accurate. Compared with the commutation method with a fixed time window, this method can adaptively adjust the harmonic environment and improve the stability of the commutation process. When the harmonic interference is large, the commutation time window is appropriately increased to ensure that the thyristor has enough time to complete the commutation; when the harmonic is small, the commutation time window tends to , to ensure the commutation speed. The calculation formula can be adjusted 、 and Adapting to different grid environments, the method improves the robustness of the commutation process. Combined with the calculation of the commutation voltage, the method ensures that the commutation trigger signal can be triggered within the optimal time window, improving the commutation efficiency and success rate.

[0145] Example scenario:

[0146] In a certain converter station, the commutation time window Set to 5ms. During a certain operation, if external harmonics suddenly increase, using a fixed commutation time window may cause commutation to be advanced or delayed, affecting the normal operation of the thyristors. This calculation formula can dynamically adjust the commutation time window to adapt it to the current harmonic environment.

[0147] If the harmonics are small (such as 1%), Close to the default value of 5ms, maintaining the commutation speed.

[0148] If the harmonics are large (e.g. 8%), Properly extend it to 5.4ms to ensure that the commutation process is not disturbed and improve the commutation reliability.

[0149] Adaptively adjust the commutation time window to ensure a stable commutation process and improve the commutation success rate.

[0150] Among them, In, trigger time Calculations are based on the underlying system sampling time , commutation time window and the expected commutation voltage , and make adjustments based on the harmonic effects.

[0151] Basic sampling time : Ensure the minimum trigger delay so that the commutation trigger signal can be executed within a reasonable time range.

[0152] Commutation time window : Used to adjust the trigger time range to ensure adaptive adjustment of the commutation time window during the commutation process.

[0153] Correction : The ratio ensures that the effect of the commutation voltage is properly normalized; and Control the effect of commutation voltage on trigger time.

[0154] Harmonic correction term : Adjust the trigger time through harmonic data to ensure that the commutation process can adapt to different electromagnetic interference environments.

[0155] The trigger time is calculated based on the commutation time window and commutation voltage, ensuring more precise timing for the commutation trigger signal. The calculation formula adaptively adjusts based on the actual operating status of the thyristors, ensuring that commutation failures due to trigger time mismatches are avoided. A harmonic interference correction term improves the stability of the commutation trigger signal and reduces harmonic interference with the commutation process. Combined with the calculation of the commutation voltage and commutation time window, the trigger time calculation ensures greater adaptability during the commutation process, improving commutation reliability and efficiency. The trigger time adjustment term ensures that the commutation trigger signal is triggered at the optimal moment, reducing commutation delays and increasing the responsiveness of the commutation circuit.

[0156] Example scenario:

[0157] At a certain converter station, the basic trigger time Set to 2ms, the commutation time window is 5ms. Under high load conditions, the commutation voltage If the current commutation voltage and harmonics are adjusted, the trigger time can be adjusted to ensure a stable commutation process.

[0158] If the commutation voltage is high, the trigger time is short, ensuring fast commutation and improving commutation efficiency.

[0159] If the commutation voltage is low, the trigger time can be appropriately extended to improve commutation stability and avoid commutation failure.

[0160] The trigger time matches the commutation environment, reducing the probability of commutation failure and improving commutation accuracy.

[0161] In one case of this embodiment, the signal shaping processing is performed on the preliminary commutation trigger signal according to the electrical characteristics of the commutation circuit to generate the commutation trigger signal, which specifically includes:

[0162] Analysis of the commutation circuit's electrical characteristics: The commutation circuit's electrical characteristics include inductance, capacitance, load characteristics, and dynamic voltage recovery characteristics. These parameters determine the rate of change of the voltage and current waveforms in the commutation circuit. Signal shaping processing must incorporate these characteristics to ensure that the generated commutation trigger signal matches the dynamic characteristics of the commutation circuit.

[0163] Optimizing the preliminary commutation trigger signal: The preliminary trigger signal may exhibit delays, waveform distortion, or insufficient amplitude. Signal shaping can be used to optimize the amplitude, waveform, and timing of the preliminary trigger signal. This process typically includes filtering, gain adjustment, and pulse width modulation to generate a more accurate commutation trigger signal.

[0164] Commutation trigger signal generation: After signal shaping, the generated commutation trigger signal meets the dynamic characteristics of the commutation circuit, ensuring the reliability of commutation operation. The output of the commutation trigger signal is key to driving the commutation circuit and directly determines whether the thyristor can complete the shutdown operation.

[0165] In a preferred embodiment of the present invention, adjusting the inductance and capacitance values ​​in the commutation circuit according to the commutation trigger signal so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value, and generating the commutation circuit dynamic adjustment data, includes:

[0166] According to the commutation trigger signal, the initial inductance parameters and initial capacitance parameters of the current commutation circuit are collected to generate the initial parameter data of the commutation circuit;

[0167] According to the commutation time window data, the inductance parameters of the commutation circuit are gradually optimized and adjusted to generate optimized inductance parameter data;

[0168] , For the Optimized inductance value after 1 iteration, For the The optimized inductance value after iterations is To optimize the step size, is the reference inductance value, Optimize the objective function for inductance About Optimizing Inductance The partial derivative of ; where,

[0169] ,in, For the The usage time of iterations, For the The commutation voltage after iterations is 、 and is the weight coefficient;

[0170] According to the optimized inductance parameter data, the capacitance parameters of the commutation circuit are dynamically configured to generate dynamic capacitance parameter data; wherein,

[0171] ,in, is the dynamic capacitance value, is the initial capacitance, For the final optimized inductance value, is the weight coefficient, is the reference time, is the adjustment coefficient, This is a minor adjustment item;

[0172] According to the initial parameter data of the commutation circuit, the optimized inductance parameter data and the dynamic capacitance parameter data, the dynamic adjustment data of the commutation circuit is generated, including the inductance adjustment value and the capacitance adjustment value.

[0173] In embodiments of the present invention, during the commutation process, parameter adjustment of the commutation circuit significantly impacts the matching of the commutation voltage and the commutation success rate. Based on the commutation trigger signal, the inductance and capacitance values ​​in the commutation circuit are dynamically adjusted to ensure that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value. This dynamic adjustment of the commutation circuit effectively avoids commutation failures caused by fixed commutation circuit parameters and improves the stability of the commutation process.

[0174] After the commutation trigger signal is generated, the initial inductance and capacitance parameters of the commutation circuit are collected to form the initial commutation circuit parameter data. Based on the expected commutation voltage data and the commutation time window data, the commutation circuit inductance parameters are gradually optimized and adjusted to adapt the commutation circuit's inductance characteristics to the commutation requirements. After the optimized inductance parameter data is generated, the commutation circuit's capacitance parameters are dynamically configured based on the optimized inductance parameters to ensure consistent overall commutation circuit parameters. The adjusted inductance and capacitance values ​​of the commutation circuit are ultimately used for dynamic adjustment of the commutation circuit, ensuring that the commutation circuit maintains optimal commutation electrical characteristics during the commutation process.

[0175] Compared to the traditional fixed commutation circuit parameter approach, the dynamic adjustment of the commutation circuit can adaptively optimize for different commutation conditions, improving the reliability of the commutation process. Initial commutation circuit parameter acquisition ensures accurate capture of the current state of the commutation circuit, providing data support for subsequent parameter optimization. Gradual optimization and adjustment of inductance parameters enables the commutation circuit to dynamically adapt to changes in commutation voltage, improving commutation voltage matching and reducing voltage deviation during the commutation process. Dynamic configuration of capacitor parameters ensures overall impedance matching of the commutation circuit, preventing commutation instability caused by improper capacitor parameter configuration during the commutation process. The dynamic adjustment data of the commutation circuit enables real-time optimization of the commutation circuit's adjustment parameters and enables adaptive adjustment based on dynamic changes in the commutation process, further improving the success rate and stability of commutation.

[0176] Among them, In this formula, the gradient descent method is used to optimize the inductance Optimization and adjustment are performed to make key parameters in the commutation process, such as commutation time window and commutation voltage, gradually converge to the optimal state.

[0177] :Indicates the The optimized inductor value for the iteration.

[0178] : represents the inductance optimization objective function About Optimizing Inductance The partial derivative of , which measures the impact of the current inductance value on the commutation process.

[0179] : Optimize the step size, control the amplitude of inductance adjustment, and determine the convergence speed.

[0180] The optimization formula is based on the inductance optimization objective function The gradient information enables each iteration to optimize the inductance value Direction adjustment improves the stability of commutation. Through the gradient descent method, the optimization process can gradually converge, avoiding commutation failure caused by blindly adjusting the inductance parameters. Appropriately select the optimization step size This method balances convergence speed and optimization accuracy, avoiding slow convergence or oscillation, and improving the efficiency of inductance adjustment. Through multiple iterations, the commutation time window and commutation voltage gradually approach the optimal state, making thyristor commutation more accurate and reliable. This formula ensures adaptive adjustment of the inductance value during commutation, improving the adaptability of the commutation process and making it suitable for different electromagnetic environments.

[0181] Example scenario:

[0182] In certain power conversion equipment, the inductance of the commutation circuit affects the decay rate of the commutation current. If the inductance is too large, the commutation time is too long, affecting system efficiency; if the inductance is too small, the commutation is unstable. This calculation formula can iteratively optimize the inductance value to adapt it to the current operating environment.

[0183] Under light load conditions, the inductance value is optimally adjusted to keep the commutation time stable.

[0184] Under high load conditions, the inductance value is appropriately reduced to increase the commutation speed and reduce energy loss.

[0185] The inductance value is automatically optimized to ensure the best performance of the commutation circuit and improve the commutation reliability.

[0186] Among them,

[0187] In the inductance optimization objective function Measure the current inductance value The impact on the commutation process ensures that the inductance adjustment can meet the commutation requirements.

[0188] Part 1 :Calculate the current commutation voltage Compared with the commutation voltage of the previous iteration Ensure that the commutation voltage is gradually optimized and converges to the optimal value.

[0189] Part 2 :Measure the current commutation time window The commutation time window of the previous iteration By optimizing the inductance, the commutation time window reaches the optimal state.

[0190] Part 3 : Calculate the impact of external harmonic interference on the commutation process to ensure that the optimized inductance can effectively suppress the interference of harmonics on the commutation process.

[0191] The objective function calculates the errors in the commutation voltage and commutation time window, allowing the optimization process to gradually adjust the inductance parameters to ensure the stability of the commutation process. By calculating the external harmonic interference, the inductance is optimized while reducing the impact of harmonics on the commutation circuit during the commutation process, thereby improving the commutation success rate. The objective function adopts the form of square error, which can avoid the influence of error direction and make the optimization process more stable and reliable. The components of the objective function can be adjusted by adjusting the weight coefficient 、 and Adapting to different commutation requirements and improving the adaptability of the optimization method. This formula ensures that the optimization process can dynamically adjust the inductance parameters, allowing the thyristor commutation to adapt to different grid environments and improve overall commutation efficiency.

[0192] Example scenario:

[0193] During a commutation process, the current calculated commutation voltage and commutation time window There is a deviation from the actual value. This objective function is used to evaluate the effect of inductance optimization and gradually optimize the commutation voltage and time window.

[0194] Ensure that the commutation voltage approaches the optimal value and improve the commutation accuracy.

[0195] Ensure that the commutation time window matches the commutation conditions to avoid the commutation time being too long or too short.

[0196] Reduce the impact of harmonics and improve commutation stability.

[0197] Among them, In the dynamic capacitance Calculation based on commutation time window and optimize the inductor value , ensuring that the capacitance parameters of the commutation process can adapt to the commutation requirements.

[0198] : Initial capacitance value, indicating the default commutation capacitance value.

[0199] : Normalize the commutation time window so that the calculation results are not affected by the absolute values ​​of different commutation times.

[0200] : Normalized optimized inductance to ensure unit matching during calculations, and Avoid calculation instability caused by inductance values ​​that are too large or too small.

[0201] : Adjustment coefficient, controls the amplitude of capacitance adjustment.

[0202] The calculation formula is based on the commutation time window and optimize the inductor value Calculate the dynamic capacitance so that the capacitance of the commutation circuit can be dynamically adjusted to adapt to different commutation environments. and Make the calculation results more stable and avoid large changes in capacitance that affect the commutation process. and This allows capacitor adjustment to adapt to varying commutation requirements, improving the adaptability of the commutation circuit. Compared to commutation methods with fixed capacitor parameters, this method dynamically adjusts the capacitor based on the changing commutation time window, increasing the commutation success rate. This formula ensures the matching of inductance and capacitance during the commutation process, improving the stability of the commutation circuit and making thyristor shutdown more accurate and reliable.

[0203] Example scenario:

[0204] In certain high-voltage DC commutation circuits, capacitor parameters affect the commutation voltage waveform. If the capacitor is fixed, it cannot adapt to varying load conditions. This calculation formula dynamically adjusts the capacitor value to stabilize the commutation voltage.

[0205] Under light load conditions, the capacitance value is appropriately reduced to increase the commutation speed.

[0206] Under heavy load conditions, the capacitance value is appropriately increased to improve commutation stability.

[0207] The commutation circuit is adaptively adjusted to improve commutation reliability.

[0208] In a preferred embodiment of the present invention, when performing the commutation operation, real-time monitoring of the change trend of the anode-cathode voltage of the thyristor and fine-tuning the inductance value of the commutation circuit according to the change trend to generate the commutation circuit parameter data include:

[0209] By collecting the anode-cathode voltage state of the thyristor in real time, the anode-cathode voltage characteristics are extracted and the anode-cathode voltage curve data is generated;

[0210] According to the anode-cathode voltage curve data, the voltage rise rate and fluctuation amplitude are calculated to generate voltage change rate characteristic data;

[0211] Comparing the voltage change rate characteristic data with a preset shutdown determination threshold to obtain a comparison result;

[0212] When the comparison result does not meet the preset shutdown judgment threshold requirement, the inductance parameters and capacitance parameters of the commutation circuit are fine-tuned in sequence according to the voltage change rate characteristic data to generate commutation circuit parameter data;

[0213] The commutation loop parameter data includes fine-tuning inductance parameters and fine-tuning capacitance parameters, and the calculation formulas thereof are:

[0214] ,in, To fine-tune the inductance value, and is the adjustment coefficient, is the instantaneous rate of change of the anode-cathode voltage;

[0215] ,in, To fine-tune the capacitor value, 、 and is the adjustment coefficient, is the anode-cathode voltage fluctuation amplitude.

[0216] In this embodiment of the present invention, the changing trend of the anode-cathode voltage during commutation can reflect the progress of commutation. Based on real-time monitoring of the anode-cathode voltage, the inductance of the commutation circuit can be further fine-tuned to improve the stability of the commutation process. During commutation operations, fine-tuning the parameters of the commutation circuit enables the commutation circuit to adapt to changes in the commutation voltage in real time, improving commutation reliability.

[0217] During the commutation process, the anode-cathode voltage status of the thyristor is collected in real time, and the anode-cathode voltage characteristics are extracted to generate anode-cathode voltage curve data. Based on the anode-cathode voltage curve data, the voltage rise rate and fluctuation amplitude are calculated, and voltage change rate characteristic data is extracted. The voltage change rate characteristic data is used to determine the voltage change trend during the commutation process and is compared with the preset shutdown judgment threshold to ensure the stability of the commutation process. If the comparison result does not meet the preset shutdown judgment threshold requirement, the inductance and capacitance parameters of the commutation circuit are further fine-tuned to ensure that the commutation circuit parameters can adapt to the real-time changes in the commutation voltage. The fine-tuned commutation circuit parameter data ensures the stability of the commutation process under different voltage environments, improving the reliability of the commutation.

[0218] Compared to parameter adjustments that rely solely on the commutation trigger signal, fine-tuning the commutation circuit parameters is based on the changing trend of the anode-cathode voltage. This allows for dynamic optimization of commutation circuit parameters during the commutation process, improving commutation accuracy. Real-time acquisition of the anode-cathode voltage status enables the commutation circuit to adapt to real-time voltage changes during the commutation process, improving the matching of commutation voltages. Calculation of voltage change rate characteristic data enables accurate identification of voltage change trends during the commutation process, ensuring targeted adjustment of commutation circuit parameters. Fine-tuning the commutation circuit parameters based on the voltage change rate makes the commutation process more stable, reduces commutation failures caused by voltage fluctuations, and improves the reliability of thyristor commutation.

[0219] Among them, by collecting the anode-cathode voltage state of the thyristor in real time, the anode-cathode voltage characteristics are extracted to generate the anode-cathode voltage curve data. Specifically:

[0220] During commutation, the anode-cathode voltage of the thyristor undergoes dynamic changes. To accurately determine the commutation progress, it is necessary to collect the anode-cathode voltage in real time and extract its changing characteristics to determine whether the commutation has been completed successfully.

[0221] During the acquisition process, the anode-cathode voltage acquisition device is connected to the electrodes of the thyristor, which can record the changes in the anode-cathode voltage with high time resolution. The voltage acquisition device should meet the following conditions:

[0222] High sampling rate: During the commutation process, voltage changes may be completed in milliseconds or even microseconds, so the voltage acquisition system needs to have a sufficiently high sampling rate to capture the details of the voltage changes.

[0223] Anti-interference ability: Harmonic interference or electromagnetic interference may exist during the commutation process, so the acquisition system should adopt filtering and denoising technology to ensure data accuracy.

[0224] Continuous data storage: Voltage data needs to be stored in chronological order for subsequent trend analysis.

[0225] After completing data acquisition, it is necessary to extract the key features of the anode-cathode voltage to analyze the state of the commutation process. The key features include:

[0226] Voltage curve: that is, the complete trajectory of the anode-cathode voltage change over time, which can intuitively reflect the commutation process.

[0227] Voltage Change Rate: During commutation, the rate of change of the anode-cathode voltage is an important indicator of commutation completion. When the voltage rises rapidly and stabilizes, commutation is nearly complete.

[0228] Voltage Fluctuation: If the voltage fluctuates dramatically during commutation, it may indicate that the commutation circuit parameters are mismatched or the thyristors are not fully turned off. Therefore, it is necessary to extract the voltage fluctuation amplitude to determine the stability of the commutation process.

[0229] By collecting and extracting the features of the anode-cathode voltage, we can obtain complete information on the voltage changes during the commutation process, providing data support for judging the commutation completion status.

[0230] Among them, according to the anode-cathode voltage curve data, the voltage rise rate and fluctuation amplitude are calculated to generate the voltage change rate characteristic data. Specifically:

[0231] After obtaining the anode-cathode voltage change curve and its characteristic data, it is necessary to further analyze the change trend of the voltage curve to determine whether the thyristor has been completely turned off.

[0232] Determine the voltage rise rate: During commutation, after the inductance and capacitance parameters of the commutation circuit are adjusted, the anode-cathode voltage should rise rapidly. If the voltage change rate is slow, the commutation process may not be complete and the thyristor is still partially conductive.

[0233] In practical analysis, the rise in the anode-cathode voltage per unit time can be calculated to determine whether it meets a set rise rate threshold. If the voltage rise rate is below the threshold, the commutation process is still in progress; if the voltage rise rate reaches the set threshold, the commutation process is nearly complete.

[0234] Determine the final voltage stability: After commutation is complete, the anode-cathode voltage should remain stable and no longer fluctuate significantly. If the voltage still fluctuates dramatically, either periodically or aperiodically, after commutation is complete, this may indicate that residual charge still exists within the thyristor and it has not fully entered the off state.

[0235] By calculating the voltage fluctuation amplitude, it is possible to determine whether the commutation has stabilized. If the fluctuation amplitude exceeds the set threshold, the commutation process still needs adjustment; if the fluctuation amplitude is within the set range, the commutation is complete.

[0236] Commutation completion is determined based on the voltage change trend: when the rising rate of the anode-cathode voltage reaches the set threshold and the voltage stability meets the set requirements, it can be determined that the thyristor commutation has been successfully completed.

[0237] The determination of the shutdown completion state depends not only on a single voltage value, but also on the dynamic change trend of the voltage during the commutation process. Therefore, a complete voltage analysis of the entire commutation process is required to ensure the accuracy of the determination.

[0238] Through the above analysis, it is possible to accurately determine whether the commutation is completed, provide a reliable basis for turning off the commutation trigger signal, and improve the stability of the commutation process.

[0239] Among them, Fine-tune the inductance Calculation based on the change in thyristor anode-cathode voltage , the inductance parameters in the commutation process are fine-tuned through normalization processing, so that the inductance value of the commutation circuit can dynamically adapt to different commutation environments.

[0240] :Indicates the variation of the thyristor anode-cathode voltage. Make its value dimensionless in the calculation to ensure the stability of the calculation.

[0241] : Controls the proportional coefficient of the fine-tuning amplitude to ensure that the adjustment value is not too large and causes unstable commutation process.

[0242] :The degree of influence of the control voltage change on the inductance adjustment determines the sensitivity of the inductance fine-tuning.

[0243] Denominator This parameter ensures that when the voltage changes significantly, the fine-tuning amplitude is smaller, making the inductance adjustment smoother and avoiding sharp fluctuations. When the voltage changes slightly, this parameter approaches 1, making the fine-tuning effect stronger and improving the commutation circuit's ability to adapt to small voltage changes.

[0244] By fine-tuning the inductance value through the change in the anode-cathode voltage, the inductance value of the commutation circuit can adapt to the voltage fluctuation during the commutation process in real time, thereby improving the commutation stability. Make the calculation dimensionless, ensure that the inductance adjustment is not affected by different voltage levels, and improve the adaptability of the calculation formula. and Control the fine-tuning amplitude to ensure the stability of the inductance adjustment during the commutation process and avoid commutation failure caused by excessive adjustment of the inductance value. This formula can adaptively adjust the inductance value according to the dynamic changes of the anode-cathode voltage during the commutation process, thereby improving the anti-interference ability of the commutation process. Combined with the optimized inductance Calculate and fine-tune inductance Further optimize the commutation circuit parameters to make the thyristor commutation process more accurate and reliable.

[0245] Among them, In the fine-tuning capacitor Calculation based on anode-cathode voltage change And the commutation circuit voltage characteristics , through normalization processing, the capacitance parameters in the commutation process are fine-tuned so that the capacitance value of the commutation circuit can adapt to different commutation environments.

[0246] : Represents the voltage characteristics of the commutation circuit, such as the average or maximum value of the commutation voltage, which is used to adjust the calculation of the fine-tuning capacitor.

[0247] : Controls the proportional coefficient of capacitor fine-tuning to prevent the adjustment range from being too large or too small and affecting the commutation process.

[0248] and :Control the adaptability of capacitor fine-tuning to the voltage characteristics of the commutation circuit to ensure the rationality of fine-tuning calculations at different voltage levels.

[0249] Molecular part :When the voltage of the commutation circuit changes greatly, the capacitance adjustment range is automatically increased to improve the stability of the commutation circuit.

[0250] Denominator :Through the commutation circuit voltage characteristics Perform normalization to ensure calculation rationality and avoid excessive capacitance adjustment.

[0251] By the change of anode-cathode voltage And the commutation circuit voltage characteristics Calculating Trimmer Capacitors , so that the capacitance value can dynamically adapt to the commutation process and improve the commutation stability. and Make the calculation dimensionless, improve the calculation adaptability, and ensure that the calculation formula is still valid at different voltage levels. 、 and Control the fine-tuning amplitude to avoid the capacitance adjustment amplitude being too large or too small affecting the commutation process. Combined with dynamic capacitance Calculate the trimmer capacitor This can further optimize the commutation circuit parameters and improve the overall adaptability of the commutation circuit. This formula ensures that the capacitance value can adapt to different electromagnetic environments during the commutation process, making the thyristor commutation more stable and reliable, and improving the commutation success rate.

[0252] Example scenario:

[0253] During commutation, when voltage fluctuates significantly, the inductor and capacitor values ​​need to be fine-tuned within a small range to maintain commutation stability. This formula can adjust the inductor and capacitor values ​​of the commutation circuit based on voltage fluctuations.

[0254] Effect:

[0255] Reduce the impact of voltage fluctuations on the commutation process and improve commutation stability.

[0256] Adaptively adjust inductance and capacitance to make the commutation voltage curve smoother.

[0257] Optimize the commutation process and improve the commutation success rate.

[0258] An embodiment of the present invention further provides a thyristor switching interruption control system based on adaptive regulation of harmonic interference, the system comprising:

[0259] The data collection module is used to obtain initial data related to the thyristor shutdown by detecting the current operating state of the thyristor, including current value, forward voltage value and external harmonic interference data, to form an original shutdown data set;

[0260] A trigger signal generation module is used to calculate the expected commutation voltage value based on the original shutdown data set and generate a commutation trigger signal in combination with the external harmonic interference parameter. The commutation trigger signal is used to drive the commutation circuit to perform commutation operation;

[0261] A loop dynamic adjustment module is used to adjust the inductance and capacitance values ​​in the commutation loop according to the commutation trigger signal so that the voltage waveform generated by the commutation loop matches the expected commutation voltage value and generate commutation loop dynamic adjustment data;

[0262] The circuit fine-tuning module is used to monitor the change trend of the anode-cathode voltage of the thyristor in real time when performing the commutation operation, and fine-tune the inductance value of the commutation circuit according to the change trend to generate the commutation circuit parameter data;

[0263] A shutdown signal generating module, configured to generate a shutdown completion signal when the anode-cathode voltage of the thyristor increases rapidly and stabilizes;

[0264] The shutdown process monitoring module is used to collect and store dynamic parameter data of the shutdown process to form a shutdown data set;

[0265] The report generation module is used to generate a thyristor turn-off report based on the turn-off data set, including the operating parameters of the thyristor at each stage of the turn-off process and the commutation circuit parameters.

[0266] It should be noted that this system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0267] An embodiment of the present invention further provides an electronic device comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the above-described method. All implementations in the above-described method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0268] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the above-described method. All implementations in the above-described method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0269] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A thyristor switching interruption control method based on harmonic interference adaptive regulation, characterized in that: The method comprises: By detecting the current operating state of the thyristor, the initial data related to the thyristor shutdown is obtained, including the current value, forward voltage value and external harmonic interference data, to form the original shutdown data set; Calculate the expected commutation voltage value based on the original shutdown data set, and generate a commutation trigger signal in combination with the external harmonic interference parameter. The commutation trigger signal is used to drive the commutation circuit to perform commutation operation; According to the commutation trigger signal, the inductance and capacitance values ​​in the commutation circuit are adjusted so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value, thereby generating dynamic adjustment data for the commutation circuit; When performing commutation operation, the change trend of the anode-cathode voltage of the thyristor is monitored in real time, and the inductance value of the commutation circuit is fine-tuned according to the change trend to generate commutation circuit parameter data; When the anode-cathode voltage of the thyristor increases rapidly and becomes stable, a shutdown completion signal is generated; Collect and store dynamic parameter data of the shutdown process to form a shutdown data set; Generate a thyristor shutdown report based on the shutdown data set, including the thyristor operating parameters at each stage of the shutdown process and the commutation circuit parameters.

2. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 1 is characterized in that: By detecting the current operating state of the thyristor, initial data related to the thyristor shutdown is obtained, including current value, forward voltage value and external harmonic interference parameters, to form an original shutdown data set, including: Collect the real-time signals of thyristor input current and voltage to generate input signal data; Preprocess the input signal data, including denoising, filtering and normalization, to generate clean signal data; Based on the clean signal data, fast Fourier transform is used to perform frequency domain analysis to extract the harmonic frequency components other than the fundamental wave and their amplitude characteristics to generate harmonic component data; According to the spectrum characteristics of the harmonic component data, the key harmonic components are extracted by segmented sampling, and the key harmonic components are subjected to frequency domain weighting processing to generate external harmonic interference data; The external harmonic interference data, the real-time current value data and the forward voltage value data of the thyristor are combined to generate the original shutdown data set.

3. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 2 is characterized in that: The method of calculating the expected commutation voltage value based on the current value and the forward voltage value in the original shutdown data set and generating a commutation trigger signal in combination with the external harmonic interference parameter includes: According to the current value, forward voltage value and external harmonic interference data in the original shutdown data set, the expected commutation voltage value is calculated to generate the expected commutation voltage data; wherein, , is the expected commutation voltage, For the moment The instantaneous current of the thyristor, is the forward voltage of the thyristor, is the reference voltage, is the adjustment coefficient, For the The interference intensity of the harmonic components of order, For the The weight coefficient of the harmonic component of order, For the The adjustment coefficient of the harmonic component of the order, The highest order calculated for harmonics; According to the external harmonic interference data, the commutation time window parameters are calculated to generate the commutation time window data; wherein, , is the commutation time window, is the basic commutation time window, is the adjustment coefficient; The expected commutation voltage data and the commutation time window data are jointly analyzed. According to the timing requirements of the commutation time window and the expected commutation voltage value, the trigger time is calculated to generate a preliminary commutation trigger signal. According to the electrical characteristics of the commutation circuit, the preliminary commutation trigger signal is shaped to generate a commutation trigger signal.

4. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 3 is characterized in that: The calculation formula of the trigger time is: , is the commutation trigger time, is the shortest trigger time, and is the adjustment coefficient.

5. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 4 is characterized in that: The step of adjusting the inductance and capacitance values ​​in the commutation circuit according to the commutation trigger signal so that the voltage waveform generated by the commutation circuit matches the expected commutation voltage value and generating dynamic adjustment data for the commutation circuit includes: Receive a commutation trigger signal, and collect initial inductance parameters and initial capacitance parameters of the current commutation loop to generate initial parameter data of the commutation loop; According to the expected commutation voltage data and commutation time window data, the inductance parameters of the commutation circuit are gradually optimized and adjusted to generate optimized inductance parameter data; , For the Optimized inductance value after 1 iteration, For the The optimized inductance value after iterations is To optimize the step size, is the reference inductance value, Optimize the objective function for inductance About Optimizing Inductance The partial derivative of ; where, ,in, For the The usage time of iterations, For the The commutation voltage after iterations is 、 and is the weight coefficient; According to the optimized inductance parameter data, the capacitance parameters of the commutation circuit are dynamically configured to generate dynamic capacitance parameter data; wherein, ,in, is the dynamic capacitance value, is the initial capacitance, For the final optimized inductance value, is the weight coefficient, is the reference time, is the adjustment coefficient, is the adjustment constant; According to the initial parameter data of the commutation circuit, the optimized inductance parameter data and the dynamic capacitance parameter data, the dynamic adjustment data of the commutation circuit is generated, including the inductance adjustment value and the capacitance adjustment value.

6. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 5 is characterized in that: When performing the commutation operation, the change trend of the anode-cathode voltage of the thyristor is monitored in real time, and the inductance value of the commutation circuit is fine-tuned according to the change trend to generate the commutation circuit parameter data, including: By collecting the anode-cathode voltage state of the thyristor in real time, the anode-cathode voltage characteristics are extracted and the anode-cathode voltage curve data is generated; According to the anode-cathode voltage curve data, the voltage rise rate and fluctuation amplitude are calculated to generate voltage change rate characteristic data; Comparing the voltage change rate characteristic data with a preset shutdown determination threshold to obtain a comparison result; When the comparison result does not meet the preset shutdown determination threshold requirement, the inductance parameters and capacitance parameters of the commutation circuit are fine-tuned in sequence according to the voltage change rate characteristic data to generate commutation circuit parameter data.

7. The thyristor switching interruption control method based on harmonic interference adaptive regulation according to claim 5 is characterized in that: The commutation loop parameter data includes fine-tuning inductance parameters and fine-tuning capacitance parameters, and the calculation formulas thereof are: ,in, To fine-tune the inductance value, and is the adjustment coefficient, is the instantaneous rate of change of the anode-cathode voltage; ,in, To fine-tune the capacitor value, 、 and is the adjustment coefficient, is the anode-cathode voltage fluctuation amplitude.

8. A thyristor switching interruption control system based on adaptive control of harmonic interference, characterized in that: Applied to the method according to any one of claims 1 to 7, the system comprises: The data collection module is used to obtain initial data related to the thyristor shutdown by detecting the current operating state of the thyristor, including current value, forward voltage value and external harmonic interference data, to form an original shutdown data set; A trigger signal generation module is used to calculate the expected commutation voltage value based on the original shutdown data set and generate a commutation trigger signal in combination with the external harmonic interference parameter. The commutation trigger signal is used to drive the commutation circuit to perform commutation operation; A loop dynamic adjustment module is used to adjust the inductance and capacitance values ​​in the commutation loop according to the commutation trigger signal so that the voltage waveform generated by the commutation loop matches the expected commutation voltage value and generate commutation loop dynamic adjustment data; The circuit fine-tuning module is used to monitor the change trend of the anode-cathode voltage of the thyristor in real time when performing the commutation operation, and fine-tune the inductance value of the commutation circuit according to the change trend to generate the commutation circuit parameter data; A shutdown signal generating module is used to generate a shutdown completion signal when the anode-cathode voltage of the thyristor increases rapidly and stabilizes; The shutdown process monitoring module is used to collect and store dynamic parameter data of the shutdown process to form a shutdown data set; The report generation module is used to generate a thyristor turn-off report based on the turn-off data set, including the operating parameters of the thyristor at each stage of the turn-off process and the commutation circuit parameters.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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