A distribution network voltage monitoring method and system based on adaptive gain adjustment double second-order generalized integrator

Abstract

The application discloses a distribution network voltage monitoring method and system based on adaptive gain adjustment double second-order generalized integrator, the method comprising: sampling and Clarke transformation of the three-phase voltage signal to be detected, using double second-order generalized integrator with adaptive gain adjustment factor to process alpha axis and beta axis components in stationary coordinate system, when power grid frequency fluctuates, the frequency can still be locked in real time and the steady-state accuracy is ensured; based on the high-precision output of the improved DSOGI, using sequence component decoupling algorithm to separate positive and negative sequence voltage components, accurately calculating voltage amplitude, effective value and phase information; comparing the accurate voltage obtained by calculation with the dynamic threshold to identify voltage out-of-limit. The application effectively overcomes the problem of decreased detection accuracy of the traditional method under frequency fluctuation, significantly improves the real-time performance and accuracy of voltage out-of-limit monitoring, and lays a foundation for multi-modal management of distribution networks.

Description

Technical Field

[0001] This application belongs to the field of power system power quality detection technology, specifically involving a distribution network voltage monitoring method and system based on an adaptive gain-adjusted dual second-order generalized integrator. Background Technology

[0002] In recent years, with the large-scale integration of new energy power generation, distributed power sources, and nonlinear loads into power systems, grid voltage quality issues have become increasingly prominent. Voltage sags, swells, undervoltage, overvoltage, and imbalances occur frequently. If voltage over-limit phenomena are not detected and responded to in a timely manner, they may lead to delayed equipment protection actions, power outages, or even damage. Therefore, rapid and accurate detection of voltage over-limit phenomena has become a key research direction in power quality and smart power supply technologies.

[0003] Traditional voltage limit detection methods are mostly based on real-time monitoring of voltage amplitude. This involves filtering the sampled signal, extracting the amplitude, and comparing it with the rated voltage threshold to determine if a limit has been exceeded. To achieve high-precision amplitude estimation, the Second-Order Generalized Integrator (SOGI) structure is widely used for fundamental frequency extraction and phase synchronization of voltage signals. SOGI can simultaneously generate components in phase and quadrature with the input signal in a single-phase system, and achieves frequency and phase tracking through a phase-locked loop, thereby obtaining a stable fundamental voltage amplitude. Its simple structure and strong noise immunity have made it a standard solution for single-phase grid-connected detection and phase synchronization.

[0004] However, with the widespread use of three-phase systems and the increasing prominence of voltage imbalance problems, traditional SOGI structures are prone to cross-coupling of output components when faced with voltage signals containing negative sequence components or harmonics. This leads to deviations in the extracted fundamental amplitude, thus affecting the accuracy of over-limit detection. To address this issue, researchers proposed a Dual Second-Order Generalized Integrator (DSOGI) structure. By constructing two positive channels to extract positive and negative sequence components respectively, it achieves the separation and synchronous detection of unbalanced voltages.

[0005] The existing technology has the following drawbacks: First, during voltage surges, the internal resonant element of the DSOGI exhibits inertia, resulting in a long signal steady-state establishment time and a delay in amplitude detection. For transient voltage exceedances (such as millisecond-level voltage drops or rises), the response speed still falls short of requirements. Second, when the grid frequency fluctuates or contains negative-sequence disturbances, the fixed parameters of the traditional DSOGI lead to increased estimation errors, easily causing false exceedances. Third, the integral structure is sensitive to DC and low-frequency components; if a DC bias exists in the sampled signal, it will lead to integral saturation and amplitude shift. Finally, the DSOGI parameters are difficult to adaptively adjust under different operating conditions, making it difficult to simultaneously achieve steady-state filtering and transient tracking performance. Summary of the Invention

[0006] The purpose of this application is to provide a distribution network voltage monitoring method and system based on an adaptive gain-adjusted dual second-order generalized integrator, which can realize the rapid and accurate identification and classification of voltage over-limit events.

[0007] To achieve the above objectives, the technical solution provided in this application is as follows:

[0008] In a first aspect, this application provides a distribution network voltage monitoring method based on an adaptive gain-adjusted dual second-order generalized integrator, comprising:

[0009] Step S1: Sample and perform Clarke transform on the three-phase voltage signal to be detected to obtain the α-axis component in the stationary coordinate system. and β-axis components ;

[0010] Step S2: Convert the α-axis component and β-axis components The improved second-order generalized integrator DSOGI, constructed for the α channel and β channel respectively, is input to obtain the corresponding output signals;

[0011] The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability.

[0012] Step S3: Based on the output signal of the improved DSOGI, the positive sequence voltage component and the negative sequence voltage component are separated using the sequence component decoupling algorithm, and the corresponding voltage amplitude is calculated.

[0013] Step S4: Calculate the effective voltage value based on the voltage amplitude; compare the effective voltage value with the dynamic threshold to determine whether a voltage over-limit has occurred;

[0014] Step S5: If a voltage over-limit occurs, trigger an alarm and record the voltage over-limit type and duration.

[0015] In one possible implementation, in step S2, the state equation of the improved DSOGI is:

[0016] ;

[0017] ;

[0018] in, for Channel input error, ; As Channel input, for Channel output, for Channel lag 90 ° Output, for Adaptive gain adjustment factor for the channel. The instantaneous angular frequency for dynamic adjustment of the phase-locked loop; ;in, , , , , , All of these change over time, implicitly containing a time factor. .

[0019] Specifically, for the improved DSOGI constructed for the α channel, the state equation is:

[0020] ;

[0021] ;

[0022] in, for Channel input error, ; As Channel input, for Channel output, for Channel lag 90 ° Output, for The adaptive gain adjustment factor for the channel;

[0023] The state equation for the improved DSOGI constructed for the β channel is:

[0024] ;

[0025] ;

[0026] in, for Channel input error, ; As Channel input, for Channel output.

[0027] In one possible implementation, in step S3, based on the output signal of the improved DSOGI, the positive-sequence voltage component and the negative-sequence voltage component are separated using a sequence component decoupling algorithm, and the calculation formula is as follows:

[0028] ;

[0029] ;

[0030] in, and These are the positive-sequence voltage component and the negative-sequence voltage component, respectively. It is the imaginary unit.

[0031] The formula for calculating the corresponding voltage amplitude is as follows:

[0032] ;

[0033] ;

[0034] in, and These represent the positive-sequence voltage amplitude and the negative-sequence voltage amplitude, respectively. This represents the modulo value.

[0035] In one possible implementation, in step S4, the effective voltage value is calculated based on the voltage amplitude, using the following formula:

[0036] ;

[0037] in, This is the effective value of the voltage;

[0038] The formula for calculating the dynamic threshold is: ;

[0039] in, for Threshold of time, This is the effective value of the rated voltage. The standard deviation of historical voltage RMS data. These are adaptive coefficients.

[0040] In one possible implementation, step S5 specifically includes:

[0041] S51: When a voltage over-limit is detected, the over-limit event is classified as a sag, swell, overvoltage, or undervoltage based on the magnitude and duration of the over-limit.

[0042] S52: Triggers an alarm signal and uploads the over-limit event information to the monitoring system via the communication interface;

[0043] S53: Record the start time, end time, extent of the violation, and type of the violation event.

[0044] In one possible implementation, the method further includes calculating the phase synchronization error based on the output signal of the improved DSOGI, and dynamically adjusting the angular frequency of the phase-locked loop of the DSOGI through a phase synchronization error feedforward compensation mechanism to shorten the response time.

[0045] The formula for calculating the phase synchronization error is as follows: In the formula, This refers to phase synchronization error;

[0046] The dynamic adjustment formula is:

[0047] ;

[0048] ;

[0049] in, This is the angular frequency compensation amount. and These are the proportional coefficient and the integral coefficient, respectively. This is the rated angular frequency; This is the compensated angular frequency.

[0050] In one possible implementation, the adaptive gain adjustment factor and proportional coefficient are dynamically adjusted according to the voltage change rate and the degree of power system disturbance to achieve a balance between steady-state and transient performance.

[0051] In one possible implementation, the adaptive adjustment mechanism of the adaptive gain adjustment factor is as follows:

[0052] ;

[0053] in The reference gain value is usually set to... ; It is an adaptive gain adjustment based on voltage error changes, driven by the voltage error;

[0054] The calculation method is as follows:

[0055] ;

[0056] in, This is the gain adjustment factor.

[0057] This gain adjustment mechanism can automatically adjust the SOGI gain according to the rate and magnitude of voltage change, thereby optimizing the detection accuracy and response speed for voltage over-limit.

[0058] Secondly, this application provides a distribution network voltage monitoring system based on an adaptive gain-adjustable dual second-order generalized integrator, comprising:

[0059] The voltage sampling module is used to sample and perform Clarke transformation on the three-phase voltage signal to be detected, so as to obtain the α and β components in the stationary coordinate system.

[0060] An improved DSOGI processing module is used to input the α and β components into an improved second-order generalized integrator DSOGI constructed for the α and β channels respectively, and obtain the corresponding output signals.

[0061] The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability.

[0062] The amplitude calculation and limit violation judgment module is used to separate the positive-sequence voltage component and the negative-sequence voltage component based on the output signal of the improved DSOGI using a sequence component decoupling algorithm, and calculate the corresponding voltage amplitude; calculate the effective voltage value based on the voltage amplitude; and compare the effective voltage value with a dynamic threshold to determine whether a voltage limit violation has occurred.

[0063] The alarm and recording module triggers an alarm and records the type and duration of the voltage over-limit if a voltage over-limit occurs.

[0064] The system employs the aforementioned voltage over-limit detection method based on an improved dual second-order generalized integrator to achieve voltage over-limit detection.

[0065] In one possible implementation, the system further includes an adaptive parameter adjustment module for dynamically adjusting the gain and frequency parameters.

[0066] In one possible implementation, the system further includes: a communication interface module for uploading limit violation information to the monitoring system; and a data storage module for storing historical limit violation event data.

[0067] Thirdly, this application provides an electronic device, including: a memory and a processor;

[0068] The memory is used to store computer programs;

[0069] The processor is used to invoke the computer program to execute the method described above.

[0070] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed on an electronic device, causes the electronic device to perform the method described above.

[0071] Fifthly, this application provides a computer program product, including a computer program that, when run on an electronic device, causes the electronic device to perform the method described above.

[0072] The specific implementation methods of the second to fourth aspects of this application can refer to the implementation methods of the first aspect, and will not be elaborated here.

[0073] Beneficial effects:

[0074] This application discloses a distribution network voltage monitoring method and system based on an adaptive gain-adjusted dual second-order generalized integrator, belonging to the field of power system power quality detection technology. The method samples and performs Clarke transform on the three-phase voltage signal to be detected. It utilizes a dual second-order generalized integrator with an adaptive gain adjustment factor to process the α-axis and β-axis components in the stationary coordinate system, ensuring real-time frequency locking and steady-state accuracy even when the grid frequency fluctuates. Based on the high-precision output of the improved DSOGI, a sequence component decoupling algorithm is used to separate the positive-sequence and negative-sequence voltage components, accurately calculating the voltage amplitude, RMS value, and phase information. The calculated accurate voltage is compared with a dynamic threshold to identify voltage exceedances. This method addresses the issues of low accuracy and slow response in voltage limit detection caused by renewable energy integration, nonlinear loads, and voltage imbalance in power grids. Based on the traditional DSOGI structure, it introduces an adaptive gain adjustment mechanism and a phase synchronization error feedforward correction mechanism to construct a fast and accurate voltage amplitude extraction and limit judgment model. An improved DSOGI state equation is established to enhance robustness against voltage imbalance and harmonic interference. A sequence component decoupling algorithm and a dynamic threshold adjustment strategy are designed to achieve independent detection of positive and negative sequence voltages and accurate limit judgment. Through adaptive parameter adjustment, both steady-state filtering accuracy and transient tracking speed are considered.

[0075] This application effectively overcomes the problem of decreased detection accuracy under frequency fluctuations in traditional methods, significantly improves the real-time performance and accuracy of voltage over-limit detection, shortens response time, reduces false positive rate, and enables rapid identification and classification of various power quality events such as voltage dips, voltage spikes, overvoltage, and undervoltage, laying the foundation for multimodal governance of distribution networks. It is applicable to modern power grid systems with a high proportion of renewable energy integration and has significant engineering application value. Attached Figure Description

[0076] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0077] Figure 1 This is a flowchart of a method in one embodiment of this application.

[0078] Figure 2 This is a block diagram of an improved DSOGI structure in one embodiment of this application. Detailed Implementation

[0079] The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0080] Example 1:

[0081] like Figure 1 As shown in the figure, this application provides a distribution network voltage monitoring method based on an adaptive gain-adjusted dual second-order generalized integrator, including:

[0082] Step S1: Sample and perform Clarke transform on the three-phase voltage signal to be detected to obtain the α-axis component in the stationary coordinate system. and β-axis components .

[0083] In some embodiments, step S1 includes:

[0084] Acquisition of three-phase voltage signals , and The α-axis components in the two-phase stationary coordinate system are obtained by Clarke transformation. and β-axis components The transformation formula is:

[0085] ;

[0086] .

[0087] Step S2: Convert the α-axis component and β-axis components The improved second-order generalized integrator DSOGI, constructed for the α channel and β channel respectively, is input to obtain the corresponding output signals.

[0088] The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability.

[0089] In some embodiments, the α and β channels are respectively constructed as follows Figure 2 The improved DSOGI shown has the following state equation:

[0090] ;

[0091] ;

[0092] in, for Channel input error, ; As Channel input (state variable). for Channel output, for Channel lag 90 ° Output, for Adaptive gain adjustment factor for the channel. The instantaneous angular frequency for dynamic adjustment of the phase-locked loop; ;in, , , , , , Both change over time, implicitly containing a time factor. .

[0093] Specifically, for the improved DSOGI constructed for the α channel, the state equation is:

[0094] ;

[0095] ;

[0096] in, for Channel input error, ; As Channel input, for Channel output, for Channel lag 90 ° Output, for The adaptive gain adjustment factor for the channel;

[0097] The state equation for the improved DSOGI constructed for the β channel is:

[0098] ;

[0099] ;

[0100] in, for Channel input error, ; As Channel input, for Channel output.

[0101] Step S3: Based on the output signal of the improved DSOGI, the positive sequence voltage component and the negative sequence voltage component are separated using the sequence component decoupling algorithm, and the corresponding voltage amplitude is calculated.

[0102] In some embodiments, in step S3, based on the output signal of the improved DSOGI, the positive-sequence voltage component and the negative-sequence voltage component are separated using a sequence component decoupling algorithm, and the calculation formula is as follows:

[0103] ;

[0104] ;

[0105] in, and These are the positive-sequence voltage component and the negative-sequence voltage component, respectively. It is the imaginary unit.

[0106] The formula for calculating the corresponding voltage amplitude is as follows:

[0107] ;

[0108] ;

[0109] in, and These represent the positive-sequence voltage amplitude and the negative-sequence voltage amplitude, respectively. This represents the modulo value.

[0110] This step enables accurate characterization of unbalanced voltages and enhances the decoupling capability of unbalanced signals.

[0111] Step S4: Calculate the effective voltage value based on the voltage amplitude; compare the effective voltage value with the dynamic threshold to determine whether a voltage over-limit has occurred.

[0112] In some embodiments, in step S4, the effective voltage value is calculated based on the voltage amplitude, and the calculation formula is as follows:

[0113] ;

[0114] in, This is the effective value of the voltage;

[0115] The formula for calculating the dynamic threshold is: ;

[0116] in, For the threshold, This is the effective value of the rated voltage. The standard deviation of historical voltage RMS data is used to reflect the normal fluctuation of grid voltage under steady-state conditions. The dynamic threshold is adjusted based on this standard deviation to avoid misjudging normal fluctuations as voltage over-limits. represents the adaptive coefficient. Wherein, Values ​​can be chosen based on experience, for example, The value range can be set from 0.05 to 0.30, with a preferred value of 0.05 to 0.10 under steady-state conditions, and can be increased to 0.15 to 0.30 under conditions of rapid voltage change or unbalanced operation.

[0117] Step S5: If a voltage over-limit occurs, trigger an alarm and record the voltage over-limit type and duration.

[0118] In some embodiments, step S5 may include:

[0119] S51: When a voltage over-limit is detected, the over-limit event is classified as a sag, swell, overvoltage, or undervoltage based on the magnitude and duration of the over-limit.

[0120] S52: Triggers an alarm signal, records over-limit event information, including: start time, end time, over-limit range and type; and uploads the over-limit event information to the monitoring system through the communication interface.

[0121] In some embodiments, the method further includes calculating the phase synchronization error based on the output signal of the improved DSOGI, and dynamically adjusting the angular frequency of the phase-locked loop of the DSOGI through a phase synchronization error feedforward compensation mechanism to shorten the response time.

[0122] The formula for calculating the phase synchronization error is as follows: In the formula, This refers to phase synchronization error;

[0123] The dynamic adjustment formula is:

[0124] ;

[0125] ;

[0126] in, This is the angular frequency compensation amount. and These are the proportional coefficient and the integral coefficient, respectively. This is the rated angular frequency; is the compensated angular frequency. Wherein, and Values ​​can be chosen based on experience. For example, Based on the fluctuations in power grid frequency and the system response requirements, a value of 1 to 3 is generally chosen to balance response speed and steady-state accuracy. The value is usually set between 0.1 and 0.5 to correct for long-term phase deviations and to avoid slow response.

[0127] Experiments show that the response time of the above scheme can be shortened to less than 8ms.

[0128] In some embodiments, the adaptive gain adjustment factor and proportional coefficient are dynamically adjusted according to the voltage change rate and the disturbance level of the power system (such as distribution network, industrial power grid, etc.) to achieve a balance between steady-state low noise and transient fast speed.

[0129] In some embodiments, the adaptive adjustment mechanism of the adaptive gain adjustment factor is as follows:

[0130] ;

[0131] in The reference gain value is usually set to... ; It is an adaptive gain adjustment based on voltage error changes, driven by the voltage error;

[0132] The calculation method is as follows:

[0133] ;

[0134] in, This is the gain adjustment factor. Values ​​can be chosen based on experience, generally between [0.1, 2]. The selection is mainly based on the system's response requirements: in scenarios with high dynamic response, increasing... The value (e.g.) =1.5~2), which can enable the system to respond more quickly to voltage abrupt changes and rapidly changing voltage signals. For steady-state priority scenarios, reducing... The value ( =0.5~1), which can reduce the over-response caused by short-term voltage fluctuations.

[0135] This gain adjustment mechanism can automatically adjust the SOGI gain according to the rate and magnitude of voltage change, thereby optimizing the detection accuracy and response speed for voltage over-limit.

[0136] This application is applicable to power grid systems containing new energy access, nonlinear loads, and voltage imbalance. It can solve the problems of large detection delay, low accuracy, and poor robustness of existing technologies under complex operating conditions such as voltage surges, frequency fluctuations, and DC bias. It enables rapid and accurate detection and classification of voltage limit-crossing events such as voltage sags, overvoltages, and undervoltages.

[0137] Example 2:

[0138] This application provides a distribution network voltage monitoring system based on an adaptive gain-adjustable dual second-order generalized integrator, comprising:

[0139] The voltage sampling module is used to sample and perform Clarke transformation on the three-phase voltage signal to be detected, so as to obtain the α and β components in the stationary coordinate system.

[0140] An improved DSOGI processing module is used to input the α and β components into an improved second-order generalized integrator DSOGI constructed for the α and β channels respectively, and obtain the corresponding output signals.

[0141] The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability.

[0142] The amplitude calculation and limit violation judgment module is used to separate the positive-sequence voltage component and the negative-sequence voltage component based on the output signal of the improved DSOGI using a sequence component decoupling algorithm, and calculate the corresponding voltage amplitude; calculate the effective voltage value based on the voltage amplitude; and compare the effective voltage value with a dynamic threshold to determine whether a voltage limit violation has occurred.

[0143] The alarm and recording module triggers an alarm and records the type and duration of the voltage over-limit if a voltage over-limit occurs.

[0144] The system employs the aforementioned voltage over-limit detection method based on an improved dual second-order generalized integrator to achieve voltage over-limit detection.

[0145] In some embodiments, the system further includes an adaptive parameter adjustment module for dynamically adjusting gain and frequency parameters.

[0146] In some embodiments, the system further includes: a communication interface module for uploading limit violation information to a monitoring system; and a data storage module for storing historical limit violation event data.

[0147] Example 3:

[0148] This embodiment provides an electronic device, including: a memory and a processor;

[0149] The memory is used to store computer programs;

[0150] The processor is configured to invoke the computer program to execute the method as described in Embodiment 1.

[0151] Example 4:

[0152] This embodiment provides a computer-readable storage medium storing a computer program. When the computer program is run on an electronic device, it causes the electronic device to perform the method described in Embodiment 1.

[0153] Example 5:

[0154] This embodiment provides a computer program product, including a computer program that, when run on an electronic device, causes the electronic device to perform the method described in Embodiment 1.

[0155] The specific implementation of the system, electronic device, computer-readable storage medium, and computer program product provided in this application can be referred to the specific embodiments of the above methods, and will not be repeated here.

[0156] Obviously, those skilled in the art should understand that the various units or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps into a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0157] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A distribution network voltage monitoring method based on an adaptive gain-adjustable dual second-order generalized integrator, characterized in that, include: Step S1: Sample and perform Clarke transform on the three-phase voltage signal to be detected to obtain the α-axis component in the stationary coordinate system. and β-axis components ; Step S2: Convert the α-axis component and β-axis components The improved second-order generalized integrator DSOGI, constructed for the α channel and β channel respectively, is input to obtain the corresponding output signals; The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability. Step S3: Based on the output signal of the improved DSOGI, the positive sequence voltage component and the negative sequence voltage component are separated using the sequence component decoupling algorithm, and the corresponding voltage amplitude is calculated. Step S4: Calculate the effective voltage value based on the voltage amplitude; compare the effective voltage value with the dynamic threshold to determine whether a voltage over-limit has occurred; Step S5: If a voltage over-limit occurs, trigger an alarm and record the voltage over-limit type and duration.

2. The method according to claim 1, characterized in that, In step S2, the state equation of the improved DSOGI is: ； ； in, for Channel input error, ; As Channel input, for Channel output, for Channel lag 90 ° Output, for Adaptive gain adjustment factor for the channel. The instantaneous angular frequency for dynamic adjustment of the phase-locked loop; .

3. The method according to claim 2, characterized in that, In step S3, based on the output signal of the improved DSOGI, the positive-sequence voltage component and the negative-sequence voltage component are separated using a sequence component decoupling algorithm. The calculation formula is as follows: ； ； in, and These are the positive-sequence voltage component and the negative-sequence voltage component, respectively. The imaginary unit; The formula for calculating the corresponding voltage amplitude is as follows: ； ； in, and These represent the positive-sequence voltage amplitude and the negative-sequence voltage amplitude, respectively. This represents the modulo value.

4. The method according to claim 3, characterized in that, In step S4, the effective voltage value is calculated based on the voltage amplitude, using the following formula: ； in, This is the effective value of the voltage; The formula for calculating the dynamic threshold is: ; in, for Threshold of time, This is the effective value of the rated voltage. The standard deviation of historical voltage RMS data. These are adaptive coefficients.

5. The method according to claim 4, characterized in that, The method further includes calculating the phase synchronization error based on the output signal of the improved DSOGI, and dynamically adjusting the angular frequency of the phase-locked loop of the DSOGI through a phase synchronization error feedforward compensation mechanism to shorten the response time. The formula for calculating the phase synchronization error is as follows: In the formula, This refers to phase synchronization error; The dynamic adjustment formula is: ； ； in, This is the angular frequency compensation amount. and These are the proportional coefficient and the integral coefficient, respectively. This is the rated angular frequency; This is the compensated angular frequency.

6. The method according to claim 5, characterized in that, The adaptive gain adjustment factor and proportional coefficient are dynamically adjusted according to the voltage change rate and the degree of power system disturbance.

7. The method according to any one of claims 3 to 6, characterized in that, The adaptive adjustment mechanism of the adaptive gain adjustment factor is as follows: ； in This is the reference gain value; This is an adaptive gain adjustment based on voltage error changes; The calculation method is as follows: ； in, This is the gain adjustment factor.

8. A distribution network voltage monitoring system based on an adaptive gain-adjustable dual second-order generalized integrator, characterized in that, include: The voltage sampling module is used to sample and perform Clarke transformation on the three-phase voltage signal to be detected, so as to obtain the α and β components in the stationary coordinate system. An improved DSOGI processing module is used to input the α and β components into an improved second-order generalized integrator DSOGI constructed for the α and β channels respectively, and obtain the corresponding output signals. The improved DSOGI, based on the traditional DSOGI, introduces an adaptive gain adjustment factor into the state equation to balance transient response speed and steady-state stability. The amplitude calculation and limit violation judgment module is used to separate the positive-sequence voltage component and the negative-sequence voltage component based on the output signal of the improved DSOGI using a sequence component decoupling algorithm, and calculate the corresponding voltage amplitude; calculate the effective voltage value based on the voltage amplitude; and compare the effective voltage value with a dynamic threshold to determine whether a voltage limit violation has occurred. The alarm and recording module triggers an alarm and records the type and duration of the voltage over-limit if a voltage over-limit occurs.

9. An electronic device, characterized in that, include: Memory and processor; The memory is used to store computer programs; The processor is configured to invoke the computer program to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed on an electronic device, causes the electronic device to perform the method as described in any one of claims 1 to 7.

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