Centralized time mark alignment method and system for power distribution master station

Abstract

The invention provides a centralized time mark alignment method and system for a power distribution master station, and the method comprises the steps: taking a measurement device at the low-voltage side of a distribution transformer in a transformer substation as a standard clock source, and determining calibration reference time; performing similarity comparison on the frequency time sequence data and the phase time sequence data of the power distribution terminal and a reference sequence, matching a time sequence consistent with a standard clock source frequency, further determining the calibration time of the power distribution terminal, and determining the calibration time of the power distribution terminal based on the uploading time of the matched frequency time sequence data center point. And determining the time offset of the power distribution terminal. According to the alignment scheme, the accuracy and reliability of the data can be remarkably improved, it is ensured that the data collected by the terminals are re-aligned by means of the time offset when being applied to the master station, and it is ensured that the data of the terminals are consistent in time, so that more accurate information support is provided for fault positioning, system monitoring and data analysis, and the accuracy and reliability of the data are improved. And the fault diagnosis efficiency and the power supply reliability are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field related to power systems, and in particular relates to a centralized time scale alignment method and system for a power distribution master station. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] The current distribution station monitoring has the following technical bottlenecks: ‌1) Time synchronization misalignment is a significant issue: Due to complex geographical conditions, existing Beidou / GPS-based timing systems have blind spots. Low-cost power distribution network PMUs experience increased time drift and poor timekeeping due to variations in crystal oscillator stability, leading to significant time deviations at distribution terminals. Furthermore, insufficient communication channel bandwidth and fluctuating network latency cause the time dispersion of measured data at each node to exceed standard requirements, with synchronization errors reaching up to 500ms, resulting in significant time alignment errors in uploaded data.

[0004] 2) Data coordination between different power distribution terminals is difficult: When multi-source terminal equipment (FTU / DTU / TTU) experiences communication interruptions (which occur more frequently in mountainous areas), the existing time synchronization mechanism takes a long time to resynchronize, which cannot meet the requirements for rapid recovery.

[0005] Although there are relevant improvement plans, they mostly focus on communication network optimization and fiber optic transformation. However, due to the complexity of mountainous terrain and the high cost of laying optical cables, their economy and implementation progress are difficult to meet actual needs.

[0006] In summary, when the existing distribution master station receives data sent from the terminal, there is a time mark misalignment phenomenon, which will cause the master station to make false fault diagnosis and frequent refusal to operate when making judgments based on multi-terminal data, and the accuracy of protection and section positioning actions will decrease. Summary of the Invention

[0007] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a centralized time scale alignment method and system for a distribution master station. The alignment scheme of the present invention can significantly improve the accuracy and reliability of the data, ensure that the data collected by each terminal is realigned using the time offset when applied in the master station, and ensure that the data of each terminal is consistent in time.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a centralized time-scale alignment method for a power distribution master station, comprising: The calibration reference time is determined by using the measurement device on the low-voltage side of the distribution transformer in the substation as the standard clock source; Collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; Based on the similarity comparison results, the frequency time series data and phase time series data closest to the frequency reference sequence data and phase reference sequence data of the power distribution terminal are obtained, and the time series consistent with the standard clock source frequency is matched; The calibration time of the distribution terminal is determined based on the matched frequency time series data and phase time series data, and the time offset of the distribution terminal is determined based on the upload time of the matched frequency time series data center.

[0009] In a second aspect, the present invention provides a centralized time-scale alignment system for a power distribution master station, comprising: A determination module is configured to: determine a calibration reference time using a measurement device on the low-voltage side of a distribution transformer in a substation as a standard clock source; a comparison module configured to: collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; A matching module is configured to: obtain frequency time series data and phase time series data of the power distribution terminal that are closest to the frequency reference sequence data and phase reference sequence data based on the similarity comparison result, and match a time series that is consistent with the standard clock source frequency; The alignment module is configured to determine the calibration time of the distribution terminal based on the matched frequency time series data and phase time series data, and determine the time offset of the distribution terminal based on the upload time of the matched frequency time series data center.

[0010] In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the method described in the first aspect.

[0011] In a fourth aspect, the present invention provides a computer-readable storage medium for storing computer instructions, wherein when the computer instructions are executed by a processor, the method described in the first aspect is performed.

[0012] One or more of the above technical solutions have the following beneficial effects: In the present invention, the low-voltage side measurement device of the distribution transformer in the substation is used as the standard clock source to determine the calibration reference time; the frequency time series data and phase time series data of the distribution terminal are compared with the reference sequence for similarity, and a time series consistent with the frequency of the standard clock source is matched to thereby determine the calibration time of the distribution terminal, and the time offset of the distribution terminal is determined based on the upload time of the matched frequency time series data center. The alignment scheme of the present invention can significantly improve the accuracy and reliability of the data, ensuring that the data collected by each terminal is realigned using the time offset when applied by the master station, ensuring that the data of each terminal is consistent in time, thereby providing more accurate information support for fault location, system monitoring and data analysis, and effectively improving the efficiency of fault diagnosis and power supply reliability.

[0013] The alignment scheme of the present invention can ensure that each terminal can still achieve time calibration alignment at the master station by utilizing the frequency dynamic characteristics even if there is no clock or the clock is lost, thereby improving the application effect of data.

[0014] The solution of this invention allows for flexible configuration of the synchronization interval and data window length based on different grid characteristics. This ensures more synchronizations when frequency changes slowly, reduces interference caused by frequency measurement errors, and improves synchronization accuracy. Test results demonstrate that synchronization accuracy within 10ms can be achieved using existing networks, meeting general application requirements.

[0015] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0017] Figure 1 This is the measured frequency fluctuation of a typical distribution network; Figure 2 It is a schematic diagram of the distribution network measurement configuration; Figure 3 This is a flow chart of the centralized time scale alignment method for the power distribution master station in the first embodiment of the present invention.

[0018] FIG4 (a) is a schematic diagram of frequency measurement data and a starting point, taking the frequency timing correction time scale as an example in the first embodiment of the present invention; FIG4( b ) is a schematic diagram of the fitting results of the reference device, taking the frequency timing correction time scale as an example in the first embodiment of the present invention; FIG4( c ) is a schematic diagram of a time offset calibration fitting result, taking the frequency timing correction time scale as an example in the first embodiment of the present invention. DETAILED DESCRIPTION

[0019] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0020] It should be noted that the terms used herein are for describing particular embodiments only and are not intended to limit the exemplary embodiments according to the present invention.

[0021] In the absence of conflict, the embodiments of the present invention and the features thereof may be combined with each other.

[0022] Example 1 like Figure 3 As shown, this embodiment discloses a centralized time scale alignment method for a power distribution master station, including: The calibration reference time is determined by using the measurement device on the low-voltage side of the distribution transformer in the substation as the standard clock source; Collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; Based on the similarity comparison results, the frequency time series data and phase time series data closest to the frequency reference sequence data and phase reference sequence data of the power distribution terminal are obtained, and the time series consistent with the standard clock source frequency is matched; The calibration time of the distribution terminal is determined based on the matched frequency time series data and phase time series data, and the time offset of the distribution terminal is determined based on the upload time of the matched frequency time series data center.

[0023] This embodiment takes into account that the power frequency value of the distribution network is constantly changing, and the frequency values ​​collected and calculated by different feeder terminals at the same time are the same. Based on this, this embodiment designs a method for estimating the time-scale offset of the distribution terminal based on the joint auxiliary correction of the power frequency and phase angle. According to the principle of power grid frequency regulation and through statistical analysis of the measured frequency data of the distribution network, the frequency is usually not stable at a fixed value, but fluctuates periodically around the power frequency, such as Figure 1 As shown, minute-level frequency fluctuations typically reach ±0.06Hz. Due to the frequency modulation dead zone, frequency fluctuations are typically symmetrically offset in positive and negative directions around the power frequency of 50.00Hz. Phase also changes due to cumulative effects, reaching a local extreme point—a maximum or minimum—at 50.00Hz.

[0024] like Figure 2Figure 2 shows a typical busbar measurement diagram for a multi-outlet substation. PMUs or other distribution terminals upload measurement data directly to the data master via fiber optic / 4G / 5G communication methods. Due to the close electrical distance between measurement points, the measured frequency dynamics are identical at all measurement points. Assume that PMU1 is a measurement device on the low-voltage side of the distribution transformer within the substation. Installed within the substation, it has direct access to multiple clock sources within the substation, such as Beidou / GPS, and therefore uses a selector as the reference source. PMUs 2 through 13 are PMUs or other distribution terminals installed on the feeders. Their clock sources may be poor or even nonexistent, requiring only their own clocks or network synchronization. All terminals periodically transmit measured electrical quantity information from the data master, including voltage frequency, phase, current amplitude, power, and other physical quantities.

[0025] The following is a detailed description of a centralized time-scale alignment method for a power distribution master station proposed in this embodiment: Step 1: The master station triggers the synchronization command when it detects that the frequency change rate uploaded by PMU1 is greater than the set value for five consecutive times to avoid interference from single-point glitches or sudden disturbances. The set value is set to 0.002Hz / s.

[0026] Step 2: After a time interval of Time Interval, which is usually 30s, according to the frequency timing value uploaded by PMU1, within the time interval [T0, T0+Time Interval], the skewness and variance index test is used to select the frequency with the power frequency. A subset of the frequency sequence centered on , to avoid the accidental occurrence of test results of a single test indicator.

[0027] Assume that the data upload cycle is , then the time window length of the sequence subset is , if 10s≤ If the time is ≤30s, the frequency offset is considered to meet the calibration conditions and the process goes to step 3. Otherwise, the process abandons the current detection and returns to step 1 to re-detect the next frequency offset opportunity.

[0028] in, is 50.00Hz.

[0029] Step 3: Use weighted least squares method to perform the frequency sequence subset Perform linear fitting and increase the power frequency Nearby The weight of each data point is twice that of other data points, where: , taking the smallest integer not less than x, thereby increasing the importance of the 0 offset frequency, thereby improving the estimation accuracy of the 0 offset moment.

[0030] Among them, the weighted least squares method is used to perform frequency sequence subset The theoretical calculation formula for linear fitting is as follows: Assumptions The linear model is: (1) Where, f i is the observed value of the dependent variable, x i is the observed value of the independent variable, 、 is the parameter to be estimated, is a random error term, satisfying (heteroskedasticity).

[0031] Weight definition: Assign a weight to each observation (inversely proportional to heteroskedasticity) and satisfies: (2) Where, , , k 0 indicates the power frequency The corresponding timing number.

[0032] The objective function is constructed by minimizing the weighted residual sum of squares: (3) right 、 Taking partial derivatives and setting them to zero gives the normal equations: (4) Find the closed-form solution and you can get the slope ,intercept They are: (5) (6) Where, 、 .

[0033] The fitted curve and the power frequency The intersection of the frequency offset and the zero crossing of the frequency offset are used as the calibration time mark, which is recorded as .

[0034] Step 4: Use weighted least squares method to perform the frequency sequence subset Phase data sequence within the corresponding time window Perform quadratic polynomial fitting, and take the same value of each phase data weight as the power frequency weight, so as to increase the importance of the phase extreme value data. The extreme value moment of the fitted curve is used as the phase angle calibration reference time scale, which is recorded as .

[0035] Step 5: Calculate the calibration reference time by taking the average of the two calibration reference time stamps .

[0036] Step 6: For the data uploaded by other distribution terminals, time stamp verification is performed in sequence. If the terminal time flag is normal and the time error with the reference terminal PMU1 is within 10ms, no processing is performed; if the terminal time flag is abnormal, it means that the terminal has no synchronous clock, or the time error is greater than 10ms, then go to step 7 for time calibration.

[0037] Step 7: Assume that the kth terminal needs to be time-calibrated. According to the data transmission period of terminal k (usually fixed), the reference sequence The time window is used as a reference and the cubic spline interpolation method is used to form a sliding frequency time series to be tested for the frequency data of terminal k. , use the same method as step 3 to Fitting is performed; similarly, a sliding phase time series to be tested is formed for the phase data of terminal k , use the same method as step 4 to Perform fitting and obtain a quadratic function curve.

[0038] Step 8: The sampling period of terminal k is 30s before and after the reference. As the step length, a sliding time window is used to obtain the total frequency and phase time series, denoted as and , respectively and is the reference sequence data, and the above The similarity comparison of the interpolated sampling data is performed on the sequence. For the frequency sequence, the Euclidean distance is used for comparison. For the phase sequence, the eccentricity consistency of the curve is used for comparison. In this way, the sequence closest to the reference sequence is obtained, which is recorded as and If And record it as , which means that within the same sliding time window, after comparing the Euclidean distance of the frequency sequence and the eccentricity of the phase sequence, the calculated values ​​are both minimized, that is, the closest sequences are obtained at the same time. Then, the device to be calibrated m can match the time series with the measurement frequency of the reference device.

[0039] Among them, The 30s before and after reference time is set here because the clock of the measurement device to be calibrated may exceed or lag behind the standard clock source for a certain period of time, such as 10s ahead or 15s behind, and generally it will not exceed 30s. A sliding time window is set within 30 seconds before and after, and the frequency and phase sequences are compared to match the closest sequence, thereby calculating the time difference of overdue / delayed.

[0040] by and Take comparison as an example to illustrate the Euclidean distance calculation formula: (7) Where, 、 Represents frequency series and A single point value in Smaller values ​​indicate more similar frequency sequences.

[0041] by and Taking comparison as an example, the eccentricity calculation formula is explained: For each phase sequence, calculate its coordinates on the unit circle: (8) sequence and The coordinates can be expressed as: (9) Compute the covariance matrix: (10) Where, , , , 、 is the sequence mean, k is the sequence length.

[0042] Eigenvalue calculation: (11) In the formula, since the covariance matrix is ​​semi-positive definite, .

[0043] Eccentricity calculation: (12) Compare the eccentricity of two sequences and express it by calculating the absolute difference: (13) Where, 、 Respectively and eccentricity.

[0044] Step 9: Match the frequency sequence successfully Curve and The intersection point of is used as the calibration time mark of terminal k, which is recorded as ; to match the successful phase sequence The extreme value moment of the curve is used as the phase angle calibration time scale, which is recorded as ; Using the average of the calibration time stamps of the two sequences, the calibration time of terminal k is calculated as: .

[0045] Assume that the time series uploaded by terminal k is The device time corresponding to the center point is , then the time offset of terminal k after calibration is - .

[0046] Step 10: Execute steps 7 to 9 for all terminals, and the time offset of each terminal device can be formed, which is ; Scrolling through the above steps ensures that each terminal can still use the frequency dynamic characteristics to achieve time alignment at the master station even if there is no clock or the clock is lost, thereby improving the application effect of the data.

[0047] Time-scale alignment of distribution system terminals has significant beneficial effects in many aspects. First, it can significantly improve the accuracy and reliability of data, ensuring that the data collected by each terminal is realigned using the time offset when applied at the master station, ensuring that the data of each terminal is consistent in time, thereby providing more accurate information support for fault location, system monitoring and data analysis, effectively improving fault diagnosis efficiency and power supply reliability; secondly, time-scale alignment helps optimize the scheduling and control of the power system, and by more realistically reflecting the system's operating status, it helps achieve accurate load forecasting and economic scheduling, and improves system operating efficiency. In addition, this technology can reduce system construction and maintenance costs, avoid equipment modification and frequent maintenance caused by time asynchrony, and at the same time enhance the system's anti-interference ability and stability, and reduce problems such as protection misoperation caused by time errors.

[0048] As shown in Figures 4(a)-4(c), the feasibility of the algorithm is demonstrated using frequency sequence comparison and simulation data. The idea of ​​phase sequence comparison is the same and will not be repeated here.

[0049] Example 2 The purpose of this embodiment is to provide a centralized time-scale alignment system for a power distribution master station, including: A determination module is configured to: determine a calibration reference time using a measurement device on the low-voltage side of a distribution transformer in a substation as a standard clock source; a comparison module configured to: collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; A matching module is configured to: obtain frequency time series data and phase time series data of the power distribution terminal that are closest to the frequency reference sequence data and phase reference sequence data based on the similarity comparison result, and match a time series that is consistent with the standard clock source frequency; The alignment module is configured to determine the calibration time of the distribution terminal based on the matched frequency time series data and phase time series data, and determine the time offset of the distribution terminal based on the upload time of the matched frequency time series data center.

[0050] In further embodiments, there is also provided: An electronic device includes a memory and a processor, and computer instructions stored in the memory and executed by the processor. When the computer instructions are executed by the processor, the method described in Example 1 is performed. For the sake of brevity, no further details are given here.

[0051] It should be understood that in this embodiment, the processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), off-the-shelf field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0052] The memory may include a read-only memory and a random access memory, and provides instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0053] A computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the method described in embodiment 1 is performed.

[0054] The method in Example 1 can be directly implemented as being executed by a hardware processor, or by a combination of hardware and software modules within the processor. The software module can be located in a storage medium well-established in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. The storage medium is located in the memory, and the processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not given here.

[0055] A computer program product includes a computer program, and when the computer program is executed by a processor, the method described in embodiment 1 is implemented.

[0056] The present invention also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions contained in program modules, which are executed in a device on a real or virtual processor of a target to perform the process / method described above. Generally, program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided between program modules as needed. The machine-executable instructions for the program modules can be executed in local or distributed devices. In distributed devices, program modules can be located in local and remote storage media.

[0057] The computer program code for implementing the method of the present invention can be written in one or more programming languages. These computer program codes can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the computer or other programmable data processing device, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on a computer, partially on a computer, as an independent software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0058] In the context of the present invention, computer program code or related data can be carried by any appropriate carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and the like. Examples of signals include electrical, optical, radio, acoustic, or other forms of propagated signals, such as carrier waves, infrared signals, and the like.

[0059] Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0060] Although the above describes the specific embodiments of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without any creative work are still within the scope of protection of the present invention.

Claims

1. A centralized time scale alignment method for a power distribution master station, characterized in that: include: The calibration reference time is determined by using the measurement device on the low-voltage side of the distribution transformer in the substation as the standard clock source; Collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; Based on the similarity comparison results, the frequency time series data and phase time series data closest to the frequency reference sequence data and phase reference sequence data of the power distribution terminal are obtained, and the time series consistent with the standard clock source frequency is matched; The calibration time of the distribution terminal is determined based on the matched frequency time series data and phase time series data, and the time offset of the distribution terminal is determined based on the upload time of the matched frequency time series data center.

2. A method for aligning centralized time scales at a power distribution master station according to claim 1, characterized in that: The determination of the frequency reference sequence data and the phase reference sequence data is specifically as follows: Based on the frequency time series values ​​uploaded by the measurement device on the low-voltage side of the distribution transformer in the substation, a skewness index test is used within the time interval to select a positive and negative symmetrical frequency sequence subset centered on the power frequency as the frequency reference sequence data; The phase data sequence within the time window corresponding to the frequency reference sequence data is used as the phase reference sequence data.

3. A method for aligning centralized time scales at a power distribution master station according to claim 1, characterized in that: The frequency time series data and phase time series data collected from the distribution terminal are compared with the frequency reference sequence data and phase reference sequence data for similarity, specifically: Perform similarity comparison based on the Euclidean distance between the collected frequency time series data of the distribution terminal and the frequency reference series data; The eccentricity consistency of the curve is used to compare the similarity between the collected phase time series data of the distribution terminal and the phase reference sequence data.

4. A method for aligning centralized time scales at a power distribution master station according to claim 1, characterized in that: Obtain the frequency time series data and phase time series data closest to the frequency reference sequence data and phase reference sequence data of the power distribution terminal, and match the time series that is consistent with the standard clock source frequency, specifically: If the frequency reference sequence data obtained that is closest to the frequency reference sequence data corresponds to the same time as the phase time series data obtained that is closest to the phase reference sequence data, then it is determined that the closest frequency reference sequence data and the closest phase time series data are time series consistent with the standard clock source frequency.

5. A method for aligning centralized time scales at a power distribution master station according to claim 1, characterized in that: According to the matched frequency time series data and phase time series data, the calibration time of the distribution terminal is determined as follows: The intersection of the corresponding curve of the matched frequency time series data and the power frequency is used as the calibration time scale of the distribution terminal; The corresponding curve extreme value moment of the matched phase time series data is used as the phase angle calibration time scale of the distribution terminal; The average value of the calibration time mark and the phase angle calibration time mark of the power distribution terminal is calculated to determine the calibration time of the power distribution terminal.

6. A method for aligning centralized time scales at a power distribution master station according to claim 5, characterized in that: Determine the corresponding curve of the frequency time series data and the corresponding curve of the phase time series data, specifically: Performing linear fitting on the frequency time series data using weighted least squares method to obtain a corresponding curve; The phase time series data are linearly fitted using a weighted least squares method to obtain a corresponding curve.

7. A method for aligning centralized time scales at a power distribution master station according to claim 1, characterized in that: The measurement device on the low-voltage side of the distribution transformer in the substation is used as the standard clock source to determine the calibration reference time, specifically: Collect frequency sequence subsets and phase data sequences of corresponding time windows of measurement devices on the low-voltage side of distribution transformers in substations; The frequency sequence subset is linearly fitted using the weighted least squares method, and the intersection of the fitted curve and the power frequency is used as the calibration time scale of the standard clock source; The phase data sequence is linearly fitted using the weighted least squares method, and the extreme value of the fitted curve is used as the reference time scale for phase angle calibration of the standard clock source. The calibration time scale of the standard clock source and the average value of the phase angle calibration reference time scale are calculated to determine the calibration reference time.

8. A centralized time scale alignment system for a power distribution master station, characterized in that: include: A determination module is configured to: determine a calibration reference time using a measurement device on the low-voltage side of a distribution transformer in a substation as a standard clock source; a comparison module configured to: collect frequency time series data and phase time series data of the distribution terminal in each time interval before and after the calibration reference time, and compare the collected frequency time series data and phase time series data of the distribution terminal with the frequency reference sequence data and phase reference sequence data respectively for similarity; A matching module is configured to: obtain frequency time series data and phase time series data of the power distribution terminal that are closest to the frequency reference sequence data and phase reference sequence data based on the similarity comparison result, and match a time series that is consistent with the standard clock source frequency; The alignment module is configured to determine the calibration time of the distribution terminal based on the matched frequency time series data and phase time series data, and determine the time offset of the distribution terminal based on the upload time of the matched frequency time series data center.

9. An electronic device, characterized in that: The method comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method according to any one of claims 1 to 7 is completed.

10. A computer-readable storage medium, characterized in that Used to store computer instructions, which, when executed by a processor, complete the method according to any one of claims 1 to 7.

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