Protection state self-diagnosis method, system and equipment for energy storage variable flow test equipment and storage medium

Abstract

The invention discloses a self-diagnosis method, system and device for the protection state of energy storage variable flow test equipment and a storage medium. The self-diagnosis method comprises the steps that a controlled perturbation excitation signal is injected into the input end of a protection link of the energy storage variable flow test equipment; performing synchronous sampling on response signals of all levels of function units in the protection link, performing baseline correction on the sampled signals, and performing in-phase filtering processing on the sampled signals to obtain preprocessed response signals; extracting a protection time sequence response fingerprint parameter corresponding to each level of function unit; performing energy calculation on the pre-processing response signal of each level of function unit to obtain an energy characteristic parameter of the protection link; constructing a protection link structure invariant parameter based on the protection time sequence response fingerprint parameter and the energy characteristic parameter; and performing consistency calculation on the structure invariant parameter and a pre-established structure baseline parameter to obtain a structure deviation parameter, and generating a protection state diagnosis result and corresponding link section identification information.

Description

Technical Field

[0001] This invention belongs to the field of power electronics and relates to a method, system, device and storage medium for self-diagnosis of the protection status of energy storage converter test equipment. Background Technology

[0002] With the rapid development of power electronics technology, energy storage converter systems are being used more and more widely in fields such as new energy grid connection, grid peak shaving, and distributed energy utilization. As the core device for verifying the performance of energy storage converter systems and ensuring the safe and stable operation of the system, the reliability and status monitorability of the energy storage converter test equipment's own protection link have become key technical requirements.

[0003] Currently, the status diagnosis of the protection link of energy storage converter test equipment mainly relies on two existing technical solutions: one is a passive diagnosis solution based on fault trigger threshold determination. This solution sets a fixed electrical parameter threshold at the output of the protection link execution stage. Only when the protection link triggers protection action due to a real fault and the output signal exceeds the preset threshold is it determined that there is an anomaly in the protection link. Its core is to infer the link status by reverse analysis of the terminal output result. The other is an offline static detection solution. This solution requires suspending the normal testing of the energy storage converter test equipment and using external instruments to disconnect and disassemble the functional units of each level of the protection link for testing. The static parameters of each unit are collected and compared with standard parameters to determine whether the unit has failed.

[0004] However, existing technologies can only respond passively after a fault occurs or trace the problem through offline detection, which is difficult to meet the needs of energy storage converter test equipment for real-time monitoring of the status of the protection link. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method, system, device and storage medium for self-diagnosis of the protection status of energy storage converter test equipment, so that the protection link can obtain complete propagation delay, response mode and stability parameters without triggering actual protection action, thereby realizing the observability of the dynamic response process inside the protection link.

[0006] To achieve the above objectives, the present invention employs the following technical solution: A self-diagnostic method for the protection status of an energy storage converter test device includes the following steps: S1. Inject a controlled perturbation excitation signal into the input end of the protection link of the energy storage converter test equipment; S2. Synchronously sample the response signals of each functional unit in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals; S3. Based on the timing relationship between the preprocessed response signal and the perturbation excitation signal, extract the protection timing response fingerprint parameters corresponding to each functional unit. S4. Within the time window corresponding to the protection timing response fingerprint parameters, perform energy calculation on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link. S5. Based on the protection timing response fingerprint parameters and energy characteristic parameters, construct the protection link structure invariant parameters; S6. Perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters; S7. Based on the distribution of each invariant component in the structural deviation parameters, generate the protection status diagnosis results and the corresponding link segment identification information.

[0007] Optionally, the functional units at each level in the protection link include sampling level, criterion level, isolation level, driver level, and execution level; Baseline correction and in-phase filtering are performed on the sampled signal to obtain a preprocessed response signal, including: Obtain the static level of each functional unit when no controlled perturbation excitation signal is injected, and use it as the baseline value; Subtract the corresponding baseline value from the sampled signals of each functional unit obtained by synchronous sampling to eliminate static bias; The sampling signal after eliminating static bias is denoised using an in-phase filter, while retaining the dynamic response component that is in phase and frequency with the controlled perturbation excitation signal, thus obtaining the preprocessed response signal.

[0008] Optionally, the protection timing response fingerprint parameters include propagation delay parameters, response morphology parameters, and stability parameters; Based on the timing relationship between the preprocessed response signal and the perturbation excitation signal, the protection timing response fingerprint parameters corresponding to each functional unit are extracted, including: Calculate the initial change time difference between the preprocessed response signal and the perturbation excitation signal, and use it as the propagation delay parameter; Extract the slope variation characteristics of the preprocessed response signal at the rising and falling edges as response morphology parameters; The variance of the preprocessed response signal during the plateau period is calculated and used as a stability parameter.

[0009] Optionally, within the time window corresponding to the protection timing response fingerprint parameters, energy calculation is performed on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link, including: Based on the start and end times of the perturbation excitation signal, and combined with the propagation delay parameter, the time window corresponding to each functional unit is determined; The preprocessed response signal is integrated within a time window to obtain the response energy value corresponding to each functional unit. Calculate the ratio of response energy values ​​between adjacent functional units at each level, construct the inter-level energy transfer ratio parameter, and use the inter-level energy transfer ratio parameter as an energy characteristic parameter.

[0010] Optionally, the structural invariant parameters are a one-dimensional vector consisting of propagation delay parameters and interstage energy transfer ratio parameters; The structural invariant parameters are compared with the pre-established structural baseline parameters to obtain the structural deviation parameters, including: Obtain the structural baseline parameters obtained during testing when the protective link is in a healthy state; Calculate the difference between each component in the structural invariant parameters and the corresponding component in the structural baseline parameters to form a deviation vector; The structural deviation parameter is obtained by multiplying each component in the deviation vector by its corresponding weighting coefficient. The weighting coefficient is preset according to the sensitivity of each component to the protection status.

[0011] Optionally, based on the distribution of each invariant component in the structural deviation parameters, a protection status diagnosis result and corresponding link segment identification information are generated, including: The structural deviation parameters are classified into propagation delay ratio components, energy transfer ratio components, and consistency difference components according to parameter type. Within each type of component, sort them by amplitude and filter out abnormal components whose amplitude is greater than a preset threshold; Based on the index position of the abnormal component in the structural invariant parameters, determine the corresponding functional level number or the adjacent functional level interval number; The functional level number or adjacent functional level interval number is output as the link segment identification information, and the protection status diagnosis result is generated by combining the amplitude of the abnormal component.

[0012] Optionally, the controlled perturbation excitation signal is a high-frequency pulse sequence with an amplitude within a preset safe range; Inject controlled perturbation excitation signals into the input of the protection link of the energy storage converter test equipment, including: Determine a preset safety zone without triggering actual protection actions in the protection link; Generate a high-frequency pulse sequence and adjust the amplitude of the high-frequency pulse sequence to make it fall within a preset safe range; The adjusted high-frequency pulse sequence is injected into the input of the protection link as a controlled perturbation excitation signal.

[0013] A self-diagnostic system for the protection status of an energy storage converter test device includes: The signal injection module is used to inject controlled perturbation excitation signals into the input end of the protection link of the energy storage converter test equipment; The sampling module is used to synchronously sample the response signals of functional units at all levels in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals. The fingerprint parameter extraction module is used to extract the protection timing response fingerprint parameters corresponding to each functional unit based on the timing relationship between the preprocessed response signal and the perturbation excitation signal. The energy calculation module is used to perform energy calculation on the preprocessed response signals of each functional unit within the time window corresponding to the protection timing response fingerprint parameters, so as to obtain the energy characteristic parameters of the protection link. The invariant parameter construction module is used to construct invariant parameters of the protection link structure based on the protection time-series response fingerprint parameters and energy characteristic parameters; The consistency calculation module is used to perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters. The diagnostic module is used to generate protection status diagnostic results and corresponding link segment identification information based on the distribution of each invariant component in the structural deviation parameters.

[0014] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the self-diagnosis method for the protection status of the energy storage converter test equipment.

[0015] A computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the self-diagnosis method for the protection status of the energy storage converter test equipment.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention breaks through the limitations of traditional methods that rely on passive alarms only after a fault occurs by actively injecting controlled perturbation excitation into the protection link and simultaneously observing the responses at each level. By extracting time-series response fingerprints and energy features, and fusing them to construct structural invariants reflecting the inherent physical connectivity attributes of the system, these invariants are then compared with a health baseline. This mechanism effectively isolates interference from external operating condition fluctuations and random noise, fundamentally achieving quantitative assessment and precise location of latent degradation within the protection link (such as device aging and increased contact resistance), greatly improving the reliability, sensitivity, and depth of self-diagnosis.

[0017] Furthermore, by acquiring the static level for baseline correction without injected excitation, and then performing in-phase filtering, DC bias, power frequency background noise, and non-co-frequency noise interference during system operation can be effectively filtered out. This signal preprocessing mechanism based on static elimination and dynamic frequency selection significantly purifies the perturbation response signal at the algorithm level, significantly improves the signal-to-noise ratio of weak high-frequency dynamic response components, and lays a solid and reliable data foundation for subsequent high-precision feature parameter extraction.

[0018] Furthermore, by deconstructing the complex response signal into fingerprint parameters of three dimensions—propagation delay, response morphology (slope), and stability (variance variance)—it is possible to accurately map and correspond to the physical-level component degradation mechanisms. For example, the delay parameter reflects the response hysteresis of optocouplers or logic gates, the morphology slope reflects changes in parasitic capacitance or impedance of the driving circuit, and the stability reflects signal jitter caused by contact oxidation or poor soldering. This multi-dimensional timing feature extraction method enables the algorithm to keenly capture extremely subtle physical performance distortions, thereby significantly improving the identification rate of early-stage hidden faults.

[0019] Furthermore, by utilizing the precise time window determined by the time-series fingerprint, the response signal is integrated to convert the transient voltage / current amplitude into a smooth integrated energy value, and the inter-stage energy transfer ratio is calculated. This evaluation method, based on energy conservation and transmission attenuation laws, can effectively smooth and cancel random interference caused by transient glitches or high-frequency spikes. It is more robust than simple peak detection, thus more stably and objectively reflecting the true loss and attenuation of perturbation signals during transmission across isolation or driver stages.

[0020] Furthermore, the time delay parameter and energy transfer ratio parameter are fused to construct a one-dimensional structural invariant vector, and weight coefficients linked to the sensitivity of each component are introduced to calculate the baseline deviation, thus constructing a feature evaluation benchmark that is highly sensitive to the device's own structure but robust to the external environment. The weighted deviation calculation mechanism can specifically amplify the minute abnormal signals of key weak links (such as optical decay on the isolation side and aging of contact points), so that the final output structural deviation parameter can accurately and objectively characterize the true degree of health degradation in different dimensions of the entire link.

[0021] Furthermore, by classifying and sorting structural deviation parameters by amplitude and applying threshold filtering, and then mapping the index positions of anomalous components back to the physical topology model, a precise mapping from abstract data deviations to specific physical locations is achieved. This scheme eliminates the need for additional hardware detectors at every minute node of the protection link. By analyzing the deep-dimensional distortions of the response signals from a few key nodes using algorithms, the specific functional level or adjacent intervals where the fault occurred can be deduced. This achieves a deep integration of condition diagnosis and fault location, reducing hardware costs and system complexity.

[0022] Furthermore, a high-frequency pulse sequence with amplitude within a preset safety range is used as a perturbation excitation, cleverly utilizing the low-pass filtering characteristics of the protection link or its inherent anti-jitter threshold (i.e., high-frequency, low-amplitude signals are insufficient to trigger actual relay disconnection or isolation actions). This perturbation-without-action excitation mechanism ensures that the diagnostic testing process is completely independent of the normal operation and safety protection logic of the equipment, achieving true online, non-destructive self-diagnosis and guaranteeing the safety protection of the energy storage converter testing equipment under uninterrupted operation. Attached Figure Description

[0023] Figure 1 This is a flowchart of the self-diagnosis method for the protection status of the energy storage converter test equipment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] like Figure 1 As shown, this embodiment provides a self-diagnostic method for the protection status of an energy storage converter test device, including the following steps: S1. Inject a controlled perturbation excitation signal into the input end of the protection link of the energy storage converter test equipment; S2. Synchronously sample the response signals of each functional unit in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals; S3. Based on the timing relationship between the preprocessed response signal and the perturbation excitation signal, extract the protection timing response fingerprint parameters corresponding to each functional unit. S4. Within the time window corresponding to the protection timing response fingerprint parameters, perform energy calculation on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link. S5. Based on the protection timing response fingerprint parameters and energy characteristic parameters, construct the protection link structure invariant parameters; S6. Perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters; S7. Based on the distribution of each invariant component in the structural deviation parameters, generate the protection status diagnosis results and the corresponding link segment identification information.

[0027] Specifically, the S1 controlled perturbation excitation signal is generated by a preset waveform template, and after amplitude limiting and duration clipping, it is superimposed on the input node of the protection link through the injection interface; the perturbation excitation signal is associated with the synchronous sampling trigger signal so as to determine the time window corresponding to the perturbation excitation in subsequent steps.

[0028] The response signals of each functional unit in S2 are synchronously sampled under a unified trigger clock to form a multi-channel discrete time series. Baseline correction is completed through steady-state acquisition and bias subtraction. In-phase filtering is performed by using a linear phase digital filter to process each channel in a consistent manner, and boundary compensation is used to obtain the preprocessed response signal.

[0029] Based on the temporal correspondence between the preprocessed response signal and the perturbation excitation signal, S3 extracts the protection timing response fingerprint parameters that reflect the propagation process of the protection link. The protection timing response fingerprint parameters include at least the propagation delay related parameters, the correlation consistency related parameters, the rising edge arrival time related parameters, the oscillation related parameters, and the attenuation pattern related parameters.

[0030] S4 performs a square and time accumulation operation on the preprocessed response signal within a unified time window corresponding to the perturbation excitation to obtain the energy characteristic parameters of each functional unit, and further obtains the inter-stage energy transfer ratio parameter from the energy characteristic parameters of adjacent stages.

[0031] S5 selects a reference-level functional unit as the normalization benchmark, performs normalization operations on the propagation delay-related parameters and energy characteristic parameters of each level, and performs differential operations on the correlation and consistency-related parameters of adjacent levels to obtain the relative delay ratio parameter, the relative energy ratio parameter, and the consistency difference parameter; the above parameters are combined in a preset order to form the structural invariant parameters.

[0032] The S6 structural baseline parameters are obtained by repeatedly executing S1 to S5 and statistically modeling the structural invariant parameters when the protection link is in the confirmed state; the consistency calculation performs statistical distance calculation or difference weighting calculation between the current structural invariant parameters and the structural baseline parameters to obtain the structural deviation parameters.

[0033] S7 processes and sorts the components in the structural deviation parameters corresponding to the propagation delay ratio parameter, energy transfer ratio parameter, and consistency difference parameter, and outputs the link segment identification information based on the correspondence between the components and the functional level number; at the same time, it generates the protection status diagnosis result corresponding to the link segment identification information.

[0034] Through the above steps, a self-diagnostic process for the protection link based on perturbation excitation response, temporal fingerprint parameters, energy characteristic parameters, and structural invariant parameters was established. This process enables the propagation characteristics and energy transfer relationships of functional units at all levels in the protection link to be quantitatively described under a unified mathematical model, and can generate diagnostic output results corresponding to the functional level positions.

[0035] Furthermore, in step S1, the step of injecting a controlled perturbation excitation signal into the input of the protection link of the energy storage converter test equipment includes: Generate step, pulse, or modulation excitation sequences according to preset waveform templates; The excitation sequence is subjected to amplitude limiting and duration pruning. The processed excitation sequence is superimposed onto the input node of the protection link through the injection interface.

[0036] Specifically, the perturbation excitation signal is generated by the signal generation unit under unified clock control. The signal generation unit is connected to the input terminal of the protection link via a controllable input interface circuit. The waveform template is stored in the control unit, and the waveform template parameters include at least the initial amplitude, rising edge slope, steady-state duration, and falling edge slope. The continuous-time excitation signal generated based on the signal template parameters is expressed as: ; in, This represents the amplitude envelope function that varies with time. Waveform basis functions representing unit amplitude; It is a time variable.

[0037] In a step-type excitation sequence, It is a unit step function; in a pulse-type excitation sequence, A rectangular function that takes non-zero values ​​within a finite time interval; in a modulated excitation sequence, A continuous waveform composed of a sine function or a linear frequency modulation function. Amplitude envelope function. The settings should be based on the rated input range of the protection link, and its maximum value should not exceed the preset safety limit. ,satisfy ;in, To incentivize the starting moment, To incentivize the termination time.

[0038] When performing amplitude limiting on the generated excitation signal, signal components exceeding the amplitude constraint range are truncated to the boundary value; when performing duration clipping, the excitation signal is limited to a preset time window. Within this range, a smooth transition segment is introduced at the start and end boundaries to avoid transient jumps at the injection node. The excitation signal after limiting and trimming is denoted as... The injection interface includes a DC blocking coupling unit and an impedance matching unit. The DC blocking coupling unit is used to superimpose the perturbation excitation signal onto the input node of the protection link via AC coupling. The impedance matching unit is used to limit the load impact of the injection circuit on the original protection signal channel. The excitation signal processed by the injection interface and the original input signal of the protection link form a linear superposition relationship at the input node. The superposition relationship can be expressed as: ; in, To protect the actual input signal of the link, To protect the original working signals of the link.

[0039] In discrete implementations, the excitation signal is within the sampling period. The following forms a discrete sequence ;in, This represents the length of the excitation sequence. The starting sampling point of the excitation sequence is aligned with the synchronous sampling trigger signal, and is used to determine the time window boundary corresponding to the perturbation excitation in subsequent steps.

[0040] Through the above steps, a micro-perturbation excitation signal with controlled amplitude, controlled duration, and aligned with the sampling timing is generated at the input end of the protection link. This allows the protection link to superimpose a controllable small-amplitude perturbation signal under its original working state, providing a unified excitation reference condition for subsequent extraction of timing response parameters, calculation of energy characteristics, and construction of structural invariants.

[0041] Furthermore, in step S2, the step of synchronously sampling the response signals of each functional unit in the protection link includes: Configure sampling channels for sampling level, criterion level, isolation level, driver level, and execution level respectively; Data acquisition from each sampling channel is initiated simultaneously by a unified trigger clock. The discrete time series output from each sampling channel are timestamped and aligned.

[0042] In step S2, the baseline correction step for the sampled signal includes: Steady-state signals from each sampling channel are acquired when no perturbation excitation is injected; The bias is obtained by performing a time-averaged calculation on the steady-state signal; The bias is subtracted point by point from the corresponding synchronous sampling signal.

[0043] In step S2, the step of performing in-phase filtering on the sampled signal includes: Linear phase digital filters of the same order and coefficients are used for the synchronous sampling signals of each channel; Boundary compensation is applied to the filtered signal to eliminate the initial transient. Output a preprocessed response signal that maintains relative phase consistency between channels.

[0044] Specifically, in the protection link, the outputs of the sampling stage, criterion stage, isolation stage, driver stage, and execution stage are respectively led out as voltage signals, current signals, or logic level signals, and connected to a multi-channel synchronous sampling module. Let the unified sampling period be... The unified trigger time is Then the first The discrete sequence obtained from each sampling channel is represented as: Where k=1,2,…,K represents the function level number, and N represents the number of sampling points within a single sampling window. The sampling start time of each channel is latched by the same trigger signal, thereby ensuring the sequence... Consistency on time base.

[0045] In the timestamp alignment process, a uniform time index vector is assigned to each sampled sequence. This time index is used as the unified time reference for subsequent cross-correlation analysis, energy calculation, and time window selection. During baseline correction, with the perturbation excitation not superimposed on the input of the protection link, the acquisition length is... steady-state sequence The time average is used as the bias of the k-th channel: Subsequently, a subtraction operation is performed point-by-point on the sequence obtained by synchronous sampling to obtain the baseline-corrected signal: This eliminates the DC component introduced by zero drift, bias voltage, or static error in each sampling channel.

[0046] In in-phase filtering, the baseline correction signal for all channels is... Linear phase finite impulse response digital filters with the same structure are used, and the filter impulse response is denoted as... If its order is M, then the filtering result is: ; Because each channel uses the exact same set of filter coefficients Each channel signal has the same group delay after filtering, thus maintaining the relative timing relationship between the response signals of different functional levels. At the beginning and end of the filtered sequence, boundary compensation is performed using symmetrical extension or zero-filling to eliminate the initial transients and truncation distortions introduced by convolution operations, ensuring the obtained preprocessed response signal... Within the effective time window, there is a continuous and stable data segment that can be used for subsequent cross-correlation and energy calculations.

[0047] Through the above-mentioned synchronous sampling, baseline correction and in-phase filtering, the response signals from different functional levels are made into a multi-channel preprocessed response signal sequence with consistent amplitude reference, unchanged phase relationship and eliminated DC bias under a unified time reference, providing a unified data basis for subsequent extraction of protection timing response fingerprint parameters and calculation of energy characteristic parameters.

[0048] Furthermore, in step S3, the step of extracting the protection timing response fingerprint parameters corresponding to each functional unit includes: Calculate the cross-correlation sequence between the response signals of each functional unit and the perturbation excitation signal; Extract the propagation delay parameter corresponding to the position of maximum correlation from the cross-correlation sequence; Extract the rising edge arrival time parameter from the response signal; Perform differential operations on the response signal and calculate the oscillation parameter; The envelope of the response signal is fitted and the attenuation morphology parameters are extracted.

[0049] Specifically, after completing step S2, the preprocessed response signals of each functional unit are obtained. and the corresponding perturbation excitation signal Then, using a unified time index As independent variables, the discrete cross-correlation sequence between each functional unit and the perturbation excitation signal is calculated. The cross-correlation sequence is expressed as follows: ; in, Indicates the functional level number. It is a discrete-time shift amount. This represents the number of sampling points involved in the calculation. To eliminate the influence of amplitude scale differences on the correlation amplitudes, the cross-correlation sequences are further normalized to ensure the comparability of correlation results between different functional levels.

[0050] Search for the shift position with the largest amplitude in the normalized cross-correlation sequence. and the time corresponding to the shift position. As the propagation delay parameter of the k-th level functional unit relative to the perturbation excitation signal, where This is the synchronous sampling period. This propagation delay parameter reflects the time delay experienced by the perturbation signal as it propagates along the guard link from the input to the output of this functional unit.

[0051] Within the same time window, the preprocessed response signal of the k-th level functional unit Amplitude normalization is performed, and a fixed threshold ratio is set. The sampling point number corresponding to the first time the signal amplitude exceeds the threshold ratio is recorded as follows: ,but As a parameter for the arrival time of the rising edge, it is used to characterize the moment when the response signal of this level first undergoes a significant change.

[0052] Perform first-order difference operation on the preprocessed response signal The oscillation parameter is obtained by summing or mean square statistics of the difference amplitudes within the time window. It is used to characterize the distribution of high-frequency components in the response signal.

[0053] The amplitude envelope of the preprocessed response signal is extracted, which can be obtained through moving root mean square or peak hold methods. An exponential function is then fitted to the envelope sequence within a selected decay interval; the fitting model is expressed as: ; in, Let be the envelope function of the response signal of the k-th functional unit. The amplitude coefficient, These are the attenuation morphology parameters. This is used to characterize the decay characteristics of the response amplitude of this level of functional unit under perturbation excitation over time. Therefore, a set of protection timing response fingerprint parameters is formed for the k-th level functional unit. The parameter set sequentially reflects the propagation delay characteristics, the initial response time characteristics, the short-term fluctuation characteristics, and the envelope attenuation characteristics.

[0054] Through the above processing, the time delay relationship, initial change position, transient fluctuation degree and amplitude decay law of each functional unit under the perturbation excitation are uniformly described in the form of parameters, forming a set of protection time-series response fingerprint parameters with time consistency and structural comparability, providing basic data support for subsequent energy characteristic calculation and structural invariant parameter construction.

[0055] Furthermore, in step S4, the step of performing energy calculations on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link includes: The preprocessed response signals of each functional unit are squared within the time window corresponding to the perturbation excitation; The energy characteristic parameters of each functional unit are obtained by summing the squared results over time. The ratio of energy characteristic parameters of adjacent stages is calculated to form the energy transfer ratio parameter between stages.

[0056] Specifically, after step S3 is completed, the preprocessed response signals of each functional unit under a unified time reference have been obtained. Where k=1,2,…,K represents the functional level number, and n represents the discrete sampling point number. The corresponding analysis time window is determined based on the start and end times of the perturbation excitation signal. This time window is defined by the starting sampling point. and the termination sampling point Confirmed, satisfied ; within the time window Within this process, a point-by-point squaring operation is performed on the preprocessed response signal of each functional unit to obtain the instantaneous energy sequence: ; in, This represents the instantaneous energy density of the k-th functional unit at the nth sampling time.

[0057] The instantaneous energy sequence is accumulated within a time window to obtain the energy characteristic parameters corresponding to the k-th level functional unit. ;in, This indicates that during the perturbation excitation period, the first... The total energy characteristic of the output signal of each functional unit. After obtaining the energy characteristic parameters of each functional unit, a ratio calculation is performed on two adjacent functional units along the signal propagation direction of the protection link to obtain the inter-stage energy transfer ratio parameter: ; in, This represents the energy transfer ratio from the k-th level functional unit to the (k+1)-th level functional unit.

[0058] During the calculation process, a lower threshold is set for the energy characteristic parameters involved in the ratio calculation. When the energy is less than the preset minimum energy threshold, the corresponding interstage energy transfer ratio parameter is marked or removed according to a fixed rule to ensure the numerical stability of the subsequent structural invariant parameter construction process.

[0059] Through the above energy calculation and inter-level ratio construction process, the amplitude changes of the functional units at each level in the protection link to the perturbation excitation response and their transmission relationship between levels are quantitatively described in the form of energy. This enables the amplitude attenuation, amplification and distribution characteristics between different functional levels in the protection link to be compared on a unified scale and for subsequent structural parameter modeling.

[0060] Furthermore, in step S5, the step of constructing the protection link structure invariant parameters based on the protection timing response fingerprint parameters and energy characteristic parameters includes: Using the selected reference-level functional unit as a benchmark, the propagation delay parameters of the remaining levels are normalized to generate the relative delay ratio parameter; Using the energy characteristic parameters of the reference level as a benchmark, the energy characteristic parameters of other levels are normalized to generate relative energy ratio parameters; Perform differential operations on the consistency parameters of adjacent levels to generate consistency difference parameters; The relative delay ratio parameter, relative energy ratio parameter, and consistency difference parameter are combined to form a structural invariant parameter vector.

[0061] Specifically, after S3 and S4 are completed, the propagation delay parameters of each functional unit have been obtained. Relevant consistency parameters and energy characteristic parameters Where k = 1, 2, ..., K represents the sequence number of the functional unit in the protection link. First, a reference-level functional unit is selected in the protection link, and its number is denoted as... The reference-level functional unit can be selected as the sampling level, criterion level, or any preset level according to fixed rules.

[0062] The propagation delay parameter of the reference level functional unit As a normalization benchmark, ratio calculations are performed on the remaining propagation delay parameters to obtain the relative delay ratio parameters: The relative delay ratio parameter is used to characterize the propagation ratio of each functional unit relative to the reference level in the time dimension. This is based on the energy characteristic parameters of the reference level functional units. As a normalization benchmark, ratio calculations are performed on the energy characteristic parameters of other functional units at all levels to obtain the relative energy ratio parameters. The relative energy ratio parameter is used to characterize the proportional relationship between the response energy of each functional unit in the protection link and the reference level.

[0063] In the process of processing relevant consistency parameters, the peak cross-correlation parameters of adjacent functional units are considered. and Perform the difference operation to obtain the consistent difference parameters. The consistency difference parameter is used to characterize the changing relationship between adjacent functional units in terms of timing response correlation. Subsequently, the relative delay ratio parameter at each level... Relative energy ratio parameter and consistency difference parameters The parameters are concatenated according to a preset hierarchical order to form a structural invariant parameter vector. ; In the above construction process, all parameters are expressed in the form of ratios or differences. Their values ​​do not depend on the absolute amplitude and duration of the perturbation excitation signal, but only on the relative temporal relationship, relative energy distribution relationship, and adjacent level correlation relationship between functional units at each level of the protection link. By unifying the various types of normalized parameters into a structural invariant parameter vector, a parameterized expression of the structural characteristics of the protection link is realized, providing a unified feature input for subsequent structural baseline modeling and consistency calculation.

[0064] Furthermore, in step S6, the step of performing consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters includes: S1 to S5 are executed repeatedly while the protection link is in an acknowledged state. Statistical modeling is performed on the structural invariant parameter vectors obtained multiple times; The statistically obtained mean and dispersion parameters are stored together as structural baseline parameters.

[0065] Specifically, once the energy storage converter test equipment has been installed and commissioned, or when the protection link is manually confirmed to be in the specified state, this state is set as the confirmed state of the protection link. In this confirmed state, controlled perturbation excitation is periodically applied to the protection link according to the aforementioned S1 to S5, and the corresponding structural invariant parameter vector is obtained. Where J represents the number of data collections. Let represent the structural invariant parameter vector formed in the j-th diagnostic cycle, with the dimensions and parameter order of each vector remaining consistent.

[0066] Statistical processing is performed on the above multiple sets of structural invariant parameter vectors to calculate the mean parameter of each component, forming a mean vector. ;in, Each element corresponds to the statistical mean of the relative delay ratio parameter, relative energy ratio parameter, and consistency difference parameter in the structural invariant parameter vector. Simultaneously, the dispersion of the structural invariant parameter vector is modeled, and a covariance matrix is ​​constructed: ; in, This is used to describe the joint discrete properties among the structural invariant components. To ensure matrix invertibility, a preset regularization factor can be superimposed on the diagonal in practical implementations to obtain the modified covariance matrix. ;in, The regularization coefficient is . It is the identity matrix. Mean vector. With the modified covariance matrix Together, they constitute the structural baseline parameters and are stored in the diagnostic control unit as a reference model for subsequent consistency calculations.

[0067] In any actual diagnostic cycle, obtain the current structural invariant parameter vector. Then, consistency calculations are performed between these parameters and the structural baseline parameters. The consistency calculation uses a statistical distance method based on covariance weighting, and the structural deviation parameter is defined as: ; in, The structural deviation parameter reflects the overall degree of deviation of the current protection link structural invariant parameter vector from the structural baseline parameters.

[0068] Through the above statistical modeling and consistency calculation process, a stable structural parameter distribution model is formed in the confirmed state of the protection link. In the subsequent diagnosis process, the real-time structural invariant parameters are mapped to the same statistical space for distance measurement, thereby describing the deviation of the protection link structural parameters from the baseline state with a unified dimension.

[0069] Furthermore, in step S7, the steps of generating the protection status diagnosis result and the corresponding link segment identification information include: Perform a difference calculation between the current structural invariant parameters and the structural baseline parameters; The difference results are weighted and combined to form the structural deviation parameter; The components of the structural deviation parameters corresponding to the propagation delay ratio parameter, energy transfer ratio parameter, and consistency difference parameter are sorted respectively. Based on the functional level number corresponding to the component with the highest proportion in the sorting results, output the corresponding link segment identification information.

[0070] Specifically, after completing step S6, the structural invariant parameter vector for the current diagnostic cycle is obtained. After the corresponding structural baseline parameters, where the structural baseline parameters are mean vectors, and the corrected covariance matrix First, perform component level difference operations on the structural invariant parameters to form a deviation vector: ;in, The deviations of each component in the parameters are relative delay ratio, relative energy ratio, and consistency difference.

[0071] Subsequently, a weighted combination operation is performed on the deviation vector using a covariance weighting matrix. Let the weighting matrix be... The weighted bias vector is then expressed as: ;in, For matrix The symmetric square root matrix. The structural deviation parameter is constructed based on the L2 norm of the weighted deviation vector. The structural deviation parameter is the quantified result of the aforementioned consistency calculation, used to characterize the overall degree of deviation of the current structural invariant parameters from the structural baseline parameters.

[0072] To achieve link segment localization, in the weighted bias vector In the process, the component sets corresponding to the relative delay ratio parameter, the component sets corresponding to the relative energy ratio parameter, and the component sets corresponding to the consistency difference parameter are extracted respectively, and sorted within their respective sets according to the magnitude of the absolute value of the components. Let the i-th component after sorting be... Then its square value As a measure of the contribution of the structural invariant components to the structural deviation parameters.

[0073] Based on the preset mapping relationship between each component in the structural invariant parameter vector and the functional level number of the protection link, the functional level number corresponding to the component with the largest contribution is extracted, and the link segment range to which it belongs is determined according to the hierarchical position of the protection link, thus forming the link segment identification information. The link segment identification information is output in the form of functional level number or adjacent functional level interval number, and together with the current structural deviation parameter, it forms the protection status diagnosis result.

[0074] Through the above component-level weighted analysis and sorting process, the overall deviation of the structural invariant parameters is decomposed into component contributions corresponding to the specific propagation delay ratio, energy transfer ratio, and related consistency relationship, and further mapped to the functional level position of the protection link, thereby providing the corresponding link segment identification information while outputting the structural deviation.

[0075] Furthermore, in this embodiment, a perturbation signal generation unit and an injection interface are first configured at the input end of the protection link. The control unit calls a preset excitation waveform template to generate a perturbation excitation sequence with controlled amplitude and duration. After amplitude limiting and time clipping, the excitation sequence is superimposed on the original input signal of the protection link through the injection interface and aligned with the synchronous sampling trigger signal, thereby introducing controlled perturbation while maintaining the original working state of the protection link. Subsequently, synchronous sampling channels are set at the output ends of the sampling stage, criterion stage, isolation stage, drive stage, and execution stage of the protection link, respectively. All sampling channels are triggered by a unified clock to form a multi-channel discrete signal sequence with a consistent time base. The acquired channel signals first obtain steady-state data under no perturbation excitation conditions, calculate the DC bias of each channel by time averaging, and subtract the bias amount point by point in subsequent sampling sequences to complete baseline correction. The baseline-corrected channel signals are then uniformly filtered by a linear phase digital filter for in-phase filtering, and boundary compensation is performed at the start and end positions of the sequence to obtain a preprocessed response signal that maintains the relative timing relationship between channels.

[0076] After obtaining the preprocessed response signal, the analysis time window is determined based on the start and end times of the perturbation excitation signal. Correlation analysis is performed on the preprocessed response signal and the perturbation excitation signal of each functional unit level to obtain a correlation sequence that changes over time. The propagation delay parameter of that functional unit level relative to the excitation signal is determined by the position of the maximum value of the correlation sequence. Simultaneously, within the same time window, the amplitude of each level's response signal is normalized, and the position where it first exceeds a set threshold is detected to determine the rising edge arrival time parameter. Differential operations are performed on the response signal, and its variation amplitude is statistically analyzed to obtain the oscillation parameter reflecting short-term fluctuation characteristics. The envelope curve of the response signal is fitted, and its attenuation trend parameter is extracted. This forms a set of protection timing response fingerprint parameters corresponding to each functional unit level. During energy characteristic calculation, the preprocessed response signal of each functional unit level is squared point-by-point within the time window and accumulated over time to obtain the energy characteristic parameters of each functional unit level. Along the propagation direction of the protection link signal, the ratio of the energy characteristic parameters of adjacent functional units is calculated to form the inter-level energy transfer ratio parameter, which describes the amplitude transfer relationship of the perturbation response between functional levels.

[0077] In the process of constructing structural invariant parameters, a functional level in the protection link is pre-selected as a reference level. Using the propagation delay parameter of this reference level as a benchmark, the propagation delay parameters of the remaining levels are normalized to obtain relative delay ratio parameters. Using the energy characteristic parameters of this reference level as a benchmark, the energy characteristic parameters of the remaining levels are normalized to obtain relative energy ratio parameters. Differential operations are performed on the relevant consistency parameters of adjacent functional units to obtain consistency difference parameters. The relative delay ratio parameters, relative energy ratio parameters, and consistency difference parameters are combined in a predetermined order to form a structural invariant parameter vector. During the structural baseline parameter establishment phase, the protection link is placed in a confirmed state, and the perturbation excitation injection, synchronous sampling, fingerprint parameter extraction, energy characteristic calculation, and structural invariant construction processes are repeatedly executed according to the same procedure to obtain multiple sets of structural invariant parameter vectors. These parameter vectors are statistically processed to calculate the mean and dispersion of each component, and the statistical results are stored as structural baseline parameters.

[0078] In the actual diagnostic cycle, the currently obtained structural invariant parameter vector and the structural baseline parameters are subjected to component-level difference calculations to form a deviation vector. This deviation vector is then weighted and combined with the baseline dispersion to obtain structural deviation parameters characterizing the overall structural deviation. Subsequently, the weighted deviation vector is categorized by parameter type into propagation delay ratio components, energy transfer ratio components, and consistency difference components, and then sorted by amplitude within each category. Based on the component with the largest amplitude in the sorting result and its index position in the structural invariant parameter vector, the corresponding functional level number or adjacent functional level interval number is determined and output as link segment identification information.

[0079] Through the above process, without changing the normal working state of the protection link, a quantitative description of the overall state of the protection link is achieved by using controlled perturbation excitation, synchronous sampling, time-series fingerprint analysis, energy feature modeling, and structural invariant consistency calculation. At the same time as outputting the structural deviation results, the functional level position identifiers corresponding to the deviation components are given, thus forming the protection state diagnosis results and link segment identification information.

[0080] This embodiment injects a controlled perturbation excitation signal at the input end of the protection link and performs synchronous sampling and in-phase filtering on the response signals of the sampling level, criterion level, isolation level, drive level and execution level to construct the protection timing response fingerprint parameters of each functional unit. This allows the protection link to obtain complete propagation delay, response form and stability parameters without triggering actual protection actions, thereby achieving observability of the dynamic response process inside the protection link.

[0081] This embodiment performs energy calculation on the preprocessed response signals of each functional unit within a unified time window and constructs an inter-level energy transfer ratio parameter. It quantifies the signal amplitude changes, attenuation, and transmission losses in the protection link in the form of energy, so that amplitude anomalies caused by changes in contact resistance, device aging, or isolation channel attenuation in the protection link can be directly reflected through energy characteristic parameters.

[0082] This embodiment constructs a structural invariant parameter vector based on propagation delay parameters, energy characteristic parameters, and related consistency parameters, and performs consistency calculations with structural baseline parameters to obtain structural deviation parameters. At the same time, it obtains link segment identification information by decomposing the contribution of invariant components, so that the state judgment of the protection link changes from a single signal threshold judgment to a judgment based on multi-parameter structural relationships, and can output the corresponding functional level position, thereby realizing quantitative indication of abnormal position of the protection link.

[0083] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not omitted in the apparatus embodiments, please refer to the embodiments of the method of the present invention.

[0084] In another embodiment of the present invention, a self-diagnostic system for the protection status of an energy storage converter test device is provided. This self-diagnostic system can be used to implement the above-mentioned self-diagnostic method for the protection status of an energy storage converter test device. Specifically, the self-diagnostic system includes a signal injection module, a sampling module, a fingerprint parameter extraction module, an energy calculation module, an invariant parameter construction module, a consistency calculation module, and a diagnostic module.

[0085] The signal injection module is used to inject controlled perturbation excitation signals into the input end of the protection link of the energy storage converter test equipment.

[0086] The sampling module is used to synchronously sample the response signals of functional units at all levels in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals.

[0087] The fingerprint parameter extraction module is used to extract the protection timing response fingerprint parameters corresponding to each functional unit based on the timing relationship between the preprocessed response signal and the perturbation excitation signal.

[0088] The energy calculation module is used to perform energy calculations on the preprocessed response signals of each functional unit within the time window corresponding to the protection timing response fingerprint parameters, so as to obtain the energy characteristic parameters of the protection link.

[0089] The invariant parameter construction module is used to construct invariant parameters of the protection link structure based on the protection timing response fingerprint parameters and energy characteristic parameters.

[0090] The consistency calculation module is used to perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters.

[0091] The diagnostic module is used to generate protection status diagnostic results and corresponding link segment identification information based on the distribution of each invariant component in the structural deviation parameters.

[0092] In another embodiment of the present invention, a terminal device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to achieve a corresponding method flow or corresponding function. The processor described in this embodiment can be used in the operation of a self-diagnostic method for the protection status of energy storage converter test equipment, including: S1, injecting a controlled perturbation excitation signal into the input end of the protection link of the energy storage converter test equipment; S2, synchronously sampling the response signals of each functional unit in the protection link, performing baseline correction on the sampled signals, and performing in-phase filtering on the sampled signals to obtain... S3. Based on the temporal relationship between the preprocessed response signal and the perturbation excitation signal, extract the protection temporal response fingerprint parameters corresponding to each functional unit; S4. Within the time window corresponding to the protection temporal response fingerprint parameters, perform energy calculation on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link; S5. Based on the protection temporal response fingerprint parameters and the energy characteristic parameters, construct the structural invariant parameters of the protection link; S6. Perform consistency calculation between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters; S7. Based on the distribution of each invariant component in the structural deviation parameters, generate the protection status diagnosis results and the corresponding link segment identification information.

[0093] In another embodiment, the present invention also provides a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understood that the computer-readable storage medium here may include both the built-in storage medium in the terminal device and extended storage media supported by the terminal device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor, which may be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here may be high-speed RAM or non-volatile memory, such as at least one disk storage device.

[0094] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the self-diagnosis method for the protection status of the energy storage converter test equipment in the above embodiments; one or more instructions in the computer-readable storage medium are loaded and executed by the processor to perform the following steps: S1, injecting a controlled perturbation excitation signal into the input end of the protection link of the energy storage converter test equipment; S2, synchronously sampling the response signals of each functional unit in the protection link, performing baseline correction on the sampled signals, and performing in-phase filtering on the sampled signals to obtain a preprocessed response signal; S3, based on the preprocessed response signal and the perturbation excitation... S4. Extract the protection timing response fingerprint parameters corresponding to each functional unit at each level based on the temporal relationship between the signals; S5. Perform energy calculation on the preprocessed response signals of each functional unit at each level within the time window corresponding to the protection timing response fingerprint parameters to obtain the energy characteristic parameters of the protection link; S6. Construct the structural invariant parameters of the protection link based on the protection timing response fingerprint parameters and the energy characteristic parameters; S7. Perform consistency calculation between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters; S8. Generate the protection status diagnosis results and the corresponding link segment identification information based on the distribution of each invariant component in the structural deviation parameters.

[0095] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0098] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0099] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0100] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0101] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0102] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

[0104] It should be understood that the above description is for illustrative purposes and not for limitation. Many embodiments and applications beyond the provided examples will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined by reference to the above description, but rather by reference to the foregoing claims and the full scope of their equivalents. For purposes of completeness, all articles and references, including patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the foregoing claims is not intended as a waiver of that subject matter, nor should it be construed as an indication that the applicant has not considered that subject matter as part of the disclosed inventive subject matter.

Claims

1. A self-diagnostic method for the protection status of an energy storage converter testing device, characterized in that, Includes the following steps: S1. Inject a controlled perturbation excitation signal into the input end of the protection link of the energy storage converter test equipment; S2. Synchronously sample the response signals of each functional unit in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals; S3. Based on the timing relationship between the preprocessed response signal and the perturbation excitation signal, extract the protection timing response fingerprint parameters corresponding to each functional unit. S4. Within the time window corresponding to the protection timing response fingerprint parameters, perform energy calculation on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link. S5. Based on the protection timing response fingerprint parameters and energy characteristic parameters, construct the protection link structure invariant parameters; S6. Perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters; S7. Based on the distribution of each invariant component in the structural deviation parameters, generate the protection status diagnosis results and the corresponding link segment identification information.

2. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, The functional units at each level in the protection link include the sampling level, the criterion level, the isolation level, the driver level, and the execution level; Baseline correction and in-phase filtering are performed on the sampled signal to obtain a preprocessed response signal, including: Obtain the static level of each functional unit when no controlled perturbation excitation signal is injected, and use it as the baseline value; Subtract the corresponding baseline value from the sampled signals of each functional unit obtained by synchronous sampling to eliminate static bias; The sampling signal after eliminating static bias is denoised using an in-phase filter, while retaining the dynamic response component that is in phase and frequency with the controlled perturbation excitation signal, thus obtaining the preprocessed response signal.

3. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, The protection timing response fingerprint parameters include propagation delay parameters, response morphology parameters, and stability parameters; Based on the timing relationship between the preprocessed response signal and the perturbation excitation signal, the protection timing response fingerprint parameters corresponding to each functional unit are extracted, including: Calculate the initial change time difference between the preprocessed response signal and the perturbation excitation signal, and use it as the propagation delay parameter; Extract the slope variation characteristics of the preprocessed response signal at the rising and falling edges as response morphology parameters; The variance of the preprocessed response signal during the plateau period is calculated and used as a stability parameter.

4. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, Within the time window corresponding to the protection timing response fingerprint parameters, energy calculations are performed on the preprocessed response signals of each functional unit to obtain the energy characteristic parameters of the protection link, including: Based on the start and end times of the perturbation excitation signal, and combined with the propagation delay parameter, the time window corresponding to each functional unit is determined; The preprocessed response signal is integrated within a time window to obtain the response energy value corresponding to each functional unit. Calculate the ratio of response energy values ​​between adjacent functional units at each level, construct the inter-level energy transfer ratio parameter, and use the inter-level energy transfer ratio parameter as an energy characteristic parameter.

5. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, The structural invariant parameters are a one-dimensional vector consisting of propagation delay parameters and interstage energy transfer ratio parameters. The structural invariant parameters are compared with the pre-established structural baseline parameters to obtain the structural deviation parameters, including: Obtain the structural baseline parameters obtained during testing when the protective link is in a healthy state; Calculate the difference between each component in the structural invariant parameters and the corresponding component in the structural baseline parameters to form a deviation vector; The structural deviation parameter is obtained by multiplying each component in the deviation vector by its corresponding weighting coefficient. The weighting coefficient is preset according to the sensitivity of each component to the protection status.

6. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, Based on the distribution of each invariant component in the structural deviation parameters, protection status diagnosis results and corresponding link segment identification information are generated, including: The structural deviation parameters are classified into propagation delay ratio components, energy transfer ratio components, and consistency difference components according to parameter type. Within each type of component, sort them by amplitude and filter out abnormal components whose amplitude is greater than a preset threshold; Based on the index position of the abnormal component in the structural invariant parameters, determine the corresponding functional level number or the adjacent functional level interval number; The functional level number or adjacent functional level interval number is output as the link segment identification information, and the protection status diagnosis result is generated by combining the amplitude of the abnormal component.

7. The self-diagnostic method for the protection status of energy storage converter testing equipment according to claim 1, characterized in that, The controlled perturbation excitation signal is a high-frequency pulse sequence with an amplitude within a preset safe range; Inject controlled perturbation excitation signals into the input of the protection link of the energy storage converter test equipment, including: Determine a preset safety zone without triggering actual protection actions in the protection link; Generate a high-frequency pulse sequence and adjust the amplitude of the high-frequency pulse sequence to make it fall within a preset safe range; The adjusted high-frequency pulse sequence is injected into the input of the protection link as a controlled perturbation excitation signal.

8. A self-diagnostic system for the protection status of an energy storage converter testing device, characterized in that, include: The signal injection module is used to inject controlled perturbation excitation signals into the input end of the protection link of the energy storage converter test equipment; The sampling module is used to synchronously sample the response signals of functional units at all levels in the protection link, perform baseline correction on the sampled signals, and perform in-phase filtering on the sampled signals to obtain preprocessed response signals. The fingerprint parameter extraction module is used to extract the protection timing response fingerprint parameters corresponding to each functional unit based on the timing relationship between the preprocessed response signal and the perturbation excitation signal. The energy calculation module is used to perform energy calculation on the preprocessed response signals of each functional unit within the time window corresponding to the protection timing response fingerprint parameters, so as to obtain the energy characteristic parameters of the protection link. The invariant parameter construction module is used to construct invariant parameters of the protection link structure based on the protection time-series response fingerprint parameters and energy characteristic parameters; The consistency calculation module is used to perform consistency calculations between the structural invariant parameters and the pre-established structural baseline parameters to obtain the structural deviation parameters. The diagnostic module is used to generate protection status diagnostic results and corresponding link segment identification information based on the distribution of each invariant component in the structural deviation parameters.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the self-diagnosis method for the protection status of the energy storage converter test equipment as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the self-diagnosis method for the protection status of the energy storage converter test equipment as described in any one of claims 1 to 7.

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