CVT error calculation method and device based on virtual standard algorithm and storage medium

Abstract

The invention relates to the technical field of electric power measurement online monitoring. The invention discloses a CVT error calculation method and device based on a virtual standard algorithm and a storage medium, and the method comprises the steps: collecting the voltage original waveform data of a plurality of CVTs in a homologous state in real time, and calculating the amplitude and phase of the data; constructing a steady-state data set; calculating an initial virtual standard; calculating an initial voltage ratio difference value and an initial voltage angle difference value; inverting a real-time virtual standard; calculating an overall virtual standard; calculating an instantaneous voltage ratio difference value and an instantaneous voltage angle difference value; and outputting a CVT state judgment result. According to the method, the accuracy of CVT error calculation is effectively improved, the state of the mutual inductor can be more accurately judged, and a powerful guarantee is provided for stable operation of a power system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power metering online monitoring, and in particular to a CVT error calculation method based on a virtual standard algorithm, a device and a storage medium. BACKGROUND

[0002] In modern power systems, capacitor voltage transformers (CVTs) are widely used in voltage measurement, relay protection, and electric energy metering, as key devices. The measurement accuracy of CVTs directly affects the safe and stable operation of power systems, economic dispatch, and the accuracy of electric energy metering. However, due to various factors, CVTs inevitably produce errors during actual operation.

[0003] On the one hand, the internal structure of CVTs is relatively complex, consisting of multiple components such as capacitive dividers, intermediate transformers, and compensation reactors. The performance parameters of each component can change over time, affecting the overall measurement accuracy. For example, the capacitance of the capacitive divider may drift due to environmental factors such as temperature and humidity, and the core loss and winding resistance of the intermediate transformer may change over time. These factors can cause deviations between the CVT output voltage and the actual input voltage.

[0004] On the other hand, the operating conditions of power systems are complex and changeable. Frequent fluctuations in load, system short-circuit faults, and harmonic interference make the electromagnetic environment of CVTs extremely harsh. In these complex electromagnetic environments, CVTs are subject to electromagnetic coupling, electromagnetic induction, and other disturbances, further increasing the likelihood of errors. For example, the presence of harmonics can distort the measurement results of CVTs, making it difficult to accurately reflect the actual voltage value.

[0005] Traditional CVT error calculation methods are mostly based on simple models and fixed parameters, making it difficult to fully consider the impact of the above complex factors. This results in a large deviation between the calculated error results and the actual error in practical applications, which cannot meet the growing demand for high-precision operation of power systems. For example, traditional methods may not accurately capture the error changes of CVTs under extreme conditions, affecting the correct action of relay protection devices and threatening the safe and stable operation of power systems.

[0006] With the continuous development of power systems towards large capacity, high voltage and intelligentization, higher requirements are put forward for the accuracy and real-time performance of CVT error calculation. Accurate error calculation not only helps to discover potential faults of CVT in time, and to maintain and replace in advance, avoiding power outages caused by equipment failure, but also provides reliable data support for the optimization of power system scheduling, and improves the operation efficiency and economic benefit of power system. Therefore, developing a CVT error calculation method that can adapt to complex operating environment, high precision and strong real-time performance has become an important problem to be solved in the field of electric power. SUMMARY

[0007] The purpose of the present application is to provide a CVT error calculation method, device and storage medium based on a virtual standard algorithm, which effectively improves the accuracy of CVT error calculation and can more accurately judge the state of the mutual inductor, providing strong protection for the stable operation of the power system.

[0008] In order to achieve the above purpose, the present application adopts the following technical scheme: A CVT error calculation method based on a virtual standard algorithm, comprising the following steps: S1: Real-time acquisition of voltage original waveform data of multiple CVTs in the same state, and calculation of the amplitude and phase thereof; S2: For each CVT, select a section of data that can reflect the stable operation state of the CVT to construct a steady-state data set; S3: Extract the voltage amplitude of each CVT from the steady-state data set; S4: According to the voltage amplitude of each CVT obtained in step S3, sort it from small to large to obtain a basic data sequence, and after removing the extreme value data, construct an error distribution model and calculate an initial virtual standard; S5: According to the basic data sequence and the initial virtual standard obtained in step S4, calculate the initial voltage ratio difference and the initial voltage angle difference of each CVT; S6: For each CVT, take the current and pre-measured voltage amplitude, and calculate the voltage amplitude mean value in real time through sliding average processing, sort according to the CVT arrangement order corresponding to the basic data sequence to obtain a real-time voltage amplitude mean value sequence, and then inverse the real-time virtual standard of each CVT related to the ratio difference and the angle difference; S7: For each CVT, sort the real-time virtual standard related to the ratio difference and the angle difference in order from small to large to obtain a real-time virtual standard sequence related to the ratio difference and the angle difference, and then remove the extreme value data to calculate the overall virtual standard related to the ratio difference and the angle difference; S8: Calculate the instantaneous voltage ratio difference and the instantaneous voltage angle difference of each branch CVT according to the real-time voltage amplitude mean sequence obtained in step S6 and the overall virtual standard obtained in step S7; S9: Compare the instantaneous voltage ratio difference and the instantaneous voltage angle difference of each branch CVT obtained in step S8 with the corresponding calibration standard, and output the state judgment result of the CVT.

[0009] Further, in the step S4, the base data sequence is respectively recorded as a first ratio difference mark sequence and a first angle difference mark sequence , the number of removed extreme value data is set as k, the related calculation of the initial virtual standard is established, and the calculation formula of the initial virtual standard is set as two terms, which are specifically as follows: (1) If the initial virtual standard is required to be related to the ratio difference, there is formula one: ; (2) If the initial virtual standard is required to be related to the angle difference, there is formula two: .

[0010] Further, in the step S5, the calculation formula of the initial voltage ratio difference is set as: , and the calculation formula of the initial voltage angle difference is set as: .

[0011] Further, in the step S6, the real-time voltage amplitude mean sequence is respectively recorded as a second ratio difference mark sequence and a second angle difference mark sequence , the related calculation of the real-time virtual standard of each branch CVT is established, and the calculation formula of the real-time virtual standard of each branch CVT is set as two terms, which are specifically as follows: (1) If the real-time virtual standard of each branch CVT is required to be related to the ratio difference, there is formula three: ; (2) If the real-time virtual standard of each branch CVT is required to be related to the angle difference, there is formula four: .

[0012] Further, in the step S7, for each branch CVT, the real-time virtual standard sequence related to the ratio difference is recorded as a third ratio difference mark sequence , the real-time virtual standard sequence related to the angle difference is recorded as a third angle difference mark sequence , the number of removed extreme value data is k, the related calculation of the overall virtual standard is established, and the calculation formula of the overall virtual standard is set as two terms, which are specifically as follows: (1) If the overall virtual standard is required to be related to the ratio difference, there is formula five: ; (2) If the initial virtual standard is required to be related to the angle difference, there is formula six: .

[0013] Further, in the step S8, the formula for calculating the instantaneous voltage ratio difference value is: , The formula for calculating the instantaneous voltage angle difference value is: .

[0014] Further, in the steps S4, S7, the first ratio difference mark sequence, the first angle difference mark sequence, the third ratio difference mark sequence, and the third angle difference mark sequence are all removed by a proportion p and k extreme value data, and the formula for calculating the number k of removed extreme value data is: , wherein, is the number of CVTs.

[0015] Further, in the step S7, the abnormal state of each branch CVT is detected in real time, and when a certain branch CVT is determined to be abnormal, if the real-time virtual standard corresponding to the branch CVT is not within the removal range of extreme value data, the real-time virtual standard corresponding to the branch CVT is removed, and the overall virtual standard is recalculated.

[0016] Further, the CVT error calculation method is executed multiple times, and relevant data is recorded, wherein, in each CVT error calculation process except the initial CVT error calculation, in the step S3, if the voltage amplitude of each branch CVT extracted at present is the same as the historical recorded voltage amplitude, jump to step S6, step S6 calls the corresponding recorded initial voltage angle difference value and initial voltage angle difference value, otherwise execute according to the original steps.

[0017] An electronic device, comprising a memory and a processor, the memory is used to store program code and transmit the program code to the processor, and the processor is used to execute the above-mentioned CVT error calculation method based on virtual standard algorithm according to the instructions in the program code.

[0018] A computer readable storage medium, the computer readable storage medium is used to store program code, and the program code is used to execute the above-mentioned CVT error calculation method based on virtual standard algorithm.

[0019] The beneficial effects of the present application are:

[0020] 1. Improve the accuracy of error calculation: This method is based on the law of large numbers to construct the algorithm, through a large number of homologous mutual inductor data to establish error distribution model, with the increase of error distribution model data, the sample mean is closer to the theoretical expectation value, the final calculated ratio difference, angle difference is closer to the true value, compared with the traditional method, effectively reduces the error caused by data limitation, can more accurately reflect the actual error of CVT, provides reliable basis for accurate measurement and control of power system.

[0021] 2. Real-time dynamic monitoring: This method uses moving average processing and combines the current and pre-measured voltage amplitude data to calculate the voltage amplitude mean, inverse real-time virtual standard and calculate the ratio difference and angle difference. This dynamic calculation method can track the mutual inductor running state change in time, quickly respond to dynamic working conditions in power system, such as load mutation, voltage fluctuation, etc., can master the CVT error in real time, provides strong support for real-time monitoring and adjustment of power system, enhances the stability and reliability of system operation.

[0022] 3. Optimize abnormal data processing: In the calculation process, combined with the conventional CVT error detection algorithm, for the CVT judged as abnormal, if its corresponding real-time virtual standard is not in the elimination range of extreme value data, then exclude the value and calculate the overall virtual standard. This mechanism effectively avoids the interference of abnormal data on the calculation result, ensures the reliability of error calculation, makes the final CVT state judgment result more accurate, helps to find and handle the potential fault of CVT in time, and ensures the safe operation of power system.

[0023] 4. Enhance the reliability of calculation results: When there is known calibration voltage amplitude data, the corresponding ratio difference and angle difference can be directly substituted as the initial ratio difference and initial angle difference of the current CVT error calculation, and participate in the calculation output of the subsequent steps. Make full use of the known accurate calibration data, reduce the uncertainty of initial calculation, make the calculation result more stable and reliable, further improve the accuracy of error calculation, and improve the credibility of CVT state judgment. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 It is the overall judgment flowchart of the CVT error calculation method based on virtual standard algorithm.

[0025] Figure 2 It is the ratio difference data curve diagram obtained when the embodiment 1 of the present application is applied to a certain substation.

[0026] Figure 3 It is the judgment data table diagram obtained when the embodiment 1 of the present application is applied to a certain substation.

[0027] Figure 4This is a curve of the angle difference data obtained when Embodiment 2 of the present invention is applied to a substation.

[0028] Figure 5 This is a table of judgment data obtained when Embodiment 2 of the present invention is applied to a substation. Detailed Implementation

[0029] The technical solutions in the embodiments of the present invention will now be described with reference to the accompanying drawings.

[0030] like Figure 1 As shown, a CVT error calculation method based on a virtual standard algorithm includes the following steps: S1: Real-time acquisition of raw voltage waveform data of multiple CVTs under the same source condition, and calculation of their amplitude and phase; S2: For each CVT, select a segment of data that can reflect the stable operating state of the CVT and construct a steady-state dataset; S3: Extract the voltage amplitude of each CVT from the aforementioned steady-state dataset; S4: Based on the voltage amplitude of each CVT obtained in step S3, sort them from smallest to largest to obtain a basic data sequence. After removing extreme value data from the basic data sequence, construct an error distribution model and calculate the initial virtual standard. S5: Based on the basic data sequence and initial virtual standard obtained in step S4, calculate the initial voltage ratio difference and initial voltage angle difference of each CVT. S6: For each CVT, take the current and previous measured voltage amplitudes, calculate the average voltage amplitude in real time through moving average processing, sort according to the CVT arrangement order corresponding to the basic data sequence to obtain the real-time average voltage amplitude sequence, and then invert the real-time virtual standard of each CVT related to ratio difference and angle difference. S7: For each CVT, sort the real-time virtual standards related to the ratio difference and angle difference in ascending order to obtain the real-time virtual standard sequence related to the ratio difference and angle difference. Then remove the extreme value data and calculate the overall virtual standard related to the ratio difference and angle difference. S8: Based on the real-time voltage amplitude average sequence obtained in step S6 and the overall virtual standard obtained in step S7, calculate the instantaneous voltage ratio difference and instantaneous voltage angle difference of each CVT. S9: Compare the instantaneous voltage ratio difference and instantaneous voltage angle difference of each CVT obtained in step S8 with the corresponding verification standard, and output the CVT status judgment result.

[0031] Further, in step S4, the basic data sequences are respectively denoted as the first ratio difference label sequence. First angle difference marker sequence The number of extreme value data to be removed is set to k. The calculation of the initial virtual standard is established, and the calculation formula for the initial virtual standard consists of two parts, as follows: (1) If the initial virtual standard is required to be correlated with the ratio difference, then we have Formula 1: ; (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula 2: .

[0032] Furthermore, in step S5, the formula for calculating the initial voltage ratio difference is set as follows: , The formula for calculating the initial voltage angle difference is set as follows: .

[0033] Further, in step S6, the real-time voltage amplitude mean sequence is denoted as the second ratio difference label sequence. Second angle difference marker sequence The relevant calculations for the real-time virtual standard of each CVT are established. The calculation formula for the real-time virtual standard of each CVT is set to two items, as follows: (1) If the real-time virtual standard of each CVT is required to be related to the ratio difference, then we have Formula 3: ; (2) If the real-time virtual standard of each CVT is required to be related to the angle difference, then we have Formula 4: .

[0034] Furthermore, in step S7, for each CVT, the real-time virtual standard sequence related to the ratio difference is denoted as the third ratio difference label sequence. The real-time virtual standard sequence related to the angle difference is denoted as the third angle difference label sequence. The number of extreme value data removed is k. The calculation of the overall virtual standard is established, and the calculation formula for the overall virtual standard consists of two parts, as follows: (1) If the overall virtual standard is required to be correlated with the ratio difference, then we have Formula 5: ; (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula Six: .

[0035] Further, in step S8, the formula for calculating the instantaneous voltage ratio difference is: , The formula for calculating the instantaneous voltage angle difference is as follows: .

[0036] Furthermore, in steps S4 and S7, the first ratio difference label sequence, the first angle difference label sequence, the third ratio difference label sequence, and the third angle difference label sequence are all obtained by removing k extreme value data points according to a ratio p. The formula for calculating the number of extreme value data points removed, k, is as follows: ,in, This refers to the number of CVTs.

[0037] Furthermore, in step S7, the abnormal state of each CVT is detected in real time. When a CVT is determined to be abnormal, if the real-time virtual standard corresponding to that CVT is not within the range of extreme value data removal, the real-time virtual standard corresponding to that CVT is removed, and then the overall virtual standard is calculated.

[0038] Furthermore, the CVT error calculation method is executed multiple times and relevant data is recorded. In each CVT error calculation process other than the initial CVT error calculation, in step S3, if the voltage amplitude of each CVT sampled is the same as the voltage amplitude recorded in the history, then the process jumps to step S6. Step S6 calls the corresponding recorded initial voltage angle difference value and initial voltage angle difference value; otherwise, the original steps are executed.

[0039] It's important to understand that this method, based on the law of large numbers, leverages the approximate ratio of positive to negative bias in CVTs, and the theoretical expectation of the overall error being zero, when the number of CVTs is sufficient. It constructs an error distribution model for CVTs of the same origin and phase, and calculates virtual standard values. Initial voltage ratio difference and initial voltage angle difference are calculated using voltage amplitude data and the initial virtual standard. Then, real-time virtual standard is retrieved by combining real-time and pre-measurement data, allowing for real-time calculation of instantaneous voltage ratio difference and instantaneous voltage angle difference. Finally, the calculated instantaneous voltage ratio difference and instantaneous voltage angle difference are compared with the corresponding verification standards to output the CVT status judgment result. The more data in the error distribution model, the closer the final calculated ratio difference and angle difference values ​​are to the true values. This method effectively improves the accuracy of CVT error calculation, enabling more precise judgment of transformer status and providing strong support for the stable operation of the power system.

[0040] The following will provide a detailed description of the CVT error calculation method based on the virtual standard algorithm provided by the present invention, in conjunction with embodiments and experimental data. Example 1

[0041] like Figure 2 and Figure 3As shown, this is based on two sets of power data provided by a substation, combined with the CVT status judgment results obtained by this method. Taking the real-time calculation of the instantaneous voltage ratio difference of CVTs from the same source as an example, the corresponding verification standard value is used as the initial error data for calculation to enhance the accuracy of the calculated data; Figure 2 and Figure 3 It can be seen that the results of some calculations based on the virtual standard algorithm are close to the verification standard values. In terms of the difference, the results show that the difference between C and A is consistent with the verification standard value, while the difference between A and C is biased. Example 2

[0042] like Figure 4 and Figure 5 As shown, this is based on two sets of power data provided by a substation, combined with the CVT status judgment results obtained by this method. Taking the real-time calculation of the instantaneous voltage angle difference of the same CVT as an example, the corresponding verification standard value is used as the initial error data for calculation to enhance the accuracy of the calculated data; Figure 4 and Figure 5 As can be seen, regarding the angle difference, the results show that the angle difference value of phase B is close to the verification standard value, and some data have certain deviations, such as the angle difference values ​​of phase A and phase C. Overall, it meets the requirements of the 0.2 level metrological accuracy assessment.

[0043] Overall, this method depends on the amount of data, and the calculation results generally meet expectations.

[0044] This invention also provides an electronic device, which includes a memory and a processor. The memory stores program code and transmits the program code to the processor. The processor is used to perform CVT error calculation based on the virtual standard algorithm according to the instructions in the program code.

[0045] This application also provides a computer-readable storage medium for storing program code, which is used to execute the CVT error calculation method based on the virtual standard algorithm of this invention.

[0046] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0047] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0048] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented 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.

[0049] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0050] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate 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.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal 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.

[0052] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0053] It should be noted that in this invention, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0054] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A CVT error calculation method based on a virtual standard algorithm, characterized in that: Includes the following steps: S1: Real-time acquisition of raw voltage waveform data of multiple CVTs under the same source condition, and calculation of their amplitude and phase; S2: For each CVT, select a segment of data that can reflect the stable operating state of the CVT and construct a steady-state dataset; S3: Extract the voltage amplitude of each CVT from the aforementioned steady-state dataset; S4: Based on the voltage amplitude of each CVT obtained in step S3, sort them from smallest to largest to obtain a basic data sequence. After removing extreme value data from the basic data sequence, construct an error distribution model and calculate the initial virtual standard. S5: Based on the basic data sequence and initial virtual standard obtained in step S4, calculate the initial voltage ratio difference and initial voltage angle difference of each CVT. S6: For each CVT, take the current and previous measured voltage amplitudes, calculate the average voltage amplitude in real time through moving average processing, sort according to the CVT arrangement order corresponding to the basic data sequence to obtain the real-time average voltage amplitude sequence, and then invert the real-time virtual standard of each CVT related to ratio difference and angle difference. S7: For each CVT, sort the real-time virtual standards related to the ratio difference and angle difference in ascending order to obtain the real-time virtual standard sequence related to the ratio difference and angle difference. Then remove the extreme value data and calculate the overall virtual standard related to the ratio difference and angle difference. S8: Based on the real-time voltage amplitude average sequence obtained in step S6 and the overall virtual standard obtained in step S7, calculate the instantaneous voltage ratio difference and instantaneous voltage angle difference of each CVT. S9: Compare the instantaneous voltage ratio difference and instantaneous voltage angle difference of each CVT obtained in step S8 with the corresponding verification standard, and output the CVT status judgment result.

2. The CVT error calculation method based on the virtual standard algorithm according to claim 1, characterized in that: In step S4, the basic data sequences are respectively denoted as the first ratio difference label sequence. First angle difference marker sequence The number of extreme value data to be removed is set to k. The calculation of the initial virtual standard is established, and the calculation formula for the initial virtual standard consists of two parts, as follows: (1) If the initial virtual standard is required to be correlated with the ratio difference, then we have Formula 1: ; (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula 2: .

3. The CVT error calculation method based on the virtual standard algorithm according to claim 2, characterized in that: In step S5, the formula for calculating the initial voltage ratio difference is set as follows: The formula for calculating the initial voltage angle difference is set as follows: .

4. The CVT error calculation method based on the virtual standard algorithm according to claim 3, characterized in that: In step S6, the real-time voltage amplitude mean sequence is denoted as the second ratio difference label sequence. Second angle difference marker sequence The relevant calculations for the real-time virtual standard of each CVT are established. The calculation formula for the real-time virtual standard of each CVT is set to two items, as follows: (1) If the real-time virtual standard of each CVT is required to be related to the ratio difference, then we have Formula 3: ; (2) If the real-time virtual standard of each CVT is required to be related to the angle difference, then we have Formula 4: .

5. The CVT error calculation method based on the virtual standard algorithm according to claim 4, characterized in that: In step S7, for each CVT, the real-time virtual standard sequence related to the ratio difference is denoted as the third ratio difference label sequence. The real-time virtual standard sequence related to the angle difference is denoted as the third angle difference label sequence. The number of extreme value data removed is k. The calculation of the overall virtual standard is established, and the calculation formula for the overall virtual standard consists of two parts, as follows: (1) If the overall virtual standard is required to be correlated with the ratio difference, then we have Formula 5: ; (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula Six: .

6. The CVT error calculation method based on the virtual standard algorithm according to claim 5, characterized in that: In step S8, the formula for calculating the instantaneous voltage ratio difference is: The formula for calculating the instantaneous voltage angle difference is as follows: .

7. The CVT error calculation method based on the virtual standard algorithm according to claim 5, characterized in that: In steps S4 and S7, the first ratio difference label sequence, the first angle difference label sequence, the third ratio difference label sequence, and the third angle difference label sequence all involve removing k extreme value data points according to a ratio p. The formula for calculating the number of extreme value data points removed, k, is as follows: ,in, This refers to the number of CVTs.

8. The CVT error calculation method based on the virtual standard algorithm according to claim 5, characterized in that: In step S7, the abnormal state of each CVT is detected in real time. When a CVT is determined to be abnormal, if the real-time virtual standard corresponding to that CVT is not within the range of extreme value data removal, the real-time virtual standard corresponding to that CVT is removed, and then the overall virtual standard is calculated.

9. The CVT error calculation method based on the virtual standard algorithm according to any one of claims 1-8, characterized in that: The CVT error calculation method is executed multiple times and relevant data is recorded. In each CVT error calculation process except for the initial CVT error calculation, in step S3, if the voltage amplitude of each CVT sampled is the same as the voltage amplitude recorded in the history, then the process jumps to step S6. Step S6 calls the corresponding recorded initial voltage angle difference value and initial voltage angle difference value; otherwise, the original steps are executed.

10. An electronic device, characterized in that: The electronic device includes a memory and a processor. The memory is used to store program code and transmit the program code to the processor. The processor is used to execute the CVT error calculation method based on the virtual standard algorithm according to the instructions in the program code as described in any one of claims 1-9.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program code, which is used to execute the CVT error calculation method based on the virtual standard algorithm according to any one of claims 1-9.

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