Virtual standard algorithm-based cvt error calculation method, device and storage medium

Abstract

This invention relates to the field of online power metering monitoring technology. It discloses a CVT error calculation method, device, and storage medium based on a virtual standard algorithm. The CVT error calculation method includes: real-time acquisition of raw voltage waveform data from multiple CVTs under the same source state, and calculation of their amplitude and phase; construction of a steady-state data set; calculation of an initial virtual standard; calculation of the initial voltage ratio difference and initial voltage angle difference; inversion of the real-time virtual standard; calculation of the overall virtual standard; calculation of the instantaneous voltage ratio difference and instantaneous voltage angle difference; and output of the CVT status judgment result. This method effectively improves the accuracy of CVT error calculation, enables more precise judgment of transformer status, and provides strong support for the stable operation of the power system.

Description

Technical Field

[0001] This invention relates to the field of online power metering and monitoring technology, specifically to a CVT error calculation method, device, and storage medium based on a virtual standard algorithm. Background Technology

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

[0003] On the one hand, the internal structure of a CVT is relatively complex, consisting of multiple components such as a capacitive voltage divider, an intermediate transformer, and a compensating reactor. The performance parameters of each component are prone to change during long-term operation, which can affect the overall measurement accuracy. For example, the capacitance value of the capacitive voltage divider may drift due to environmental factors such as temperature and humidity, and the core loss and winding resistance of the intermediate transformer will also change with the increase of operating time. All of 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 variable. Frequent occurrences of load fluctuations, system short-circuit faults, and harmonic interference create an extremely harsh electromagnetic environment for CVTs. Under these complex electromagnetic conditions, CVTs are subject to various interferences such as electromagnetic coupling and electromagnetic induction, further increasing the likelihood of errors. For example, the presence of harmonics can distort CVT measurement results, making it impossible 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 influence of the aforementioned complex factors. This leads to significant deviations between the calculated error results and the actual error in practical applications, failing to meet the growing demand for high-precision operation of power systems. For example, traditional methods may not accurately capture CVT error changes under extreme operating conditions, thus affecting the correct operation of relay protection devices and threatening the safe and stable operation of the power system.

[0006] As power systems continue to evolve towards larger capacity, higher voltage, and greater intelligence, higher demands are being placed on the accuracy and real-time performance of CVT error calculation. Accurate error calculation not only helps in the timely detection of potential CVT faults, enabling early maintenance and replacement and preventing power outages caused by equipment failures, but also provides reliable data support for optimized power system dispatching, improving the operational efficiency and economic benefits of the power system. Therefore, developing a high-precision, real-time CVT error calculation method that can adapt to complex operating environments has become a crucial problem urgently needing to be solved in the power sector. Summary of the Invention

[0007] The purpose of this invention 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, can more accurately judge the state of the transformer, and provides a strong guarantee for the stable operation of the power system.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] A CVT error calculation method based on a virtual standard algorithm includes the following steps:

[0010] S1: Real-time acquisition of raw voltage waveform data of multiple CVTs under the same source condition, and calculation of their amplitude and phase;

[0011] 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;

[0012] S3: Extract the voltage amplitude of each CVT from the aforementioned steady-state dataset;

[0013] 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.

[0014] 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.

[0015] 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.

[0016] 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.

[0017] 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.

[0018] 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.

[0019] 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:

[0020] (1) If the initial virtual standard is required to be correlated with the ratio difference, then we have Formula 1: ;

[0021] (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula 2: .

[0022] 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: .

[0023] 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:

[0024] (1) If the real-time virtual standard of each CVT is required to be related to the ratio difference, then we have Formula 3: ;

[0025] (2) If the real-time virtual standard of each CVT is required to be related to the angle difference, then we have Formula 4: .

[0026] 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:

[0027] (1) If the overall virtual standard is required to be correlated with the ratio difference, then we have Formula 5:

[0028] ;

[0029] (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula Six:

[0030] .

[0031] Further, in step S8, the formula for calculating the instantaneous voltage ratio difference is:

[0032] ,

[0033] The formula for calculating the instantaneous voltage angle difference is as follows: .

[0034] 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:

[0035] ,in, This refers to the number of CVTs.

[0036] 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.

[0037] 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.

[0038] An electronic device includes a memory and a processor. The memory stores program code and transmits the program code to the processor. The processor executes the aforementioned CVT error calculation method based on the virtual standard algorithm according to the instructions in the program code.

[0039] A computer-readable storage medium for storing program code for executing the above-described CVT error calculation method based on the virtual standard algorithm.

[0040] The beneficial effects of this invention are:

[0041] 1. Improve the accuracy of error calculation: This method constructs an algorithm based on the law of large numbers and establishes an error distribution model through a large amount of data from similar mutual inductors. As the amount of data in the error distribution model increases, the sample mean gets closer to the theoretical expected value, and the final calculated ratio difference and angle difference will be closer to the true value. Compared with traditional methods, it effectively reduces the error caused by data limitations and can more accurately reflect the actual error of CVT, providing a reliable basis for the precise measurement and control of power systems.

[0042] 2. Real-time Dynamic Monitoring: This method employs moving average processing combined with current and previously measured voltage amplitude data to calculate the average voltage amplitude in real time, retrieve the real-time virtual standard, and calculate the ratio difference and angle difference. This dynamic calculation method can promptly track changes in the operating status of the instrument transformer (CVT), quickly respond to dynamic operating conditions in the power system, such as sudden load changes and voltage fluctuations, and monitor CVT errors in real time. This provides strong support for real-time monitoring and adjustment of the power system, enhancing the stability and reliability of system operation.

[0043] 3. Optimized Abnormal Data Handling: During the calculation process, a conventional CVT error detection algorithm is incorporated. For CVTs identified as abnormal, if their corresponding real-time virtual standard is not within the range of extreme value data elimination, that value is excluded before calculating the overall virtual standard. This mechanism effectively avoids interference from abnormal data on the calculation results, ensures the reliability of error calculation, and makes the final CVT status judgment result more accurate. This helps to promptly detect and handle potential CVT faults, ensuring the safe operation of the power system.

[0044] 4. Enhanced reliability of calculation results: When known calibration voltage amplitude data exists, the corresponding ratio difference and angle difference values ​​can be directly substituted as the initial ratio difference and initial angle difference values ​​for the current CVT error calculation, and participate in the calculation output of subsequent steps. Fully utilizing known accurate calibration data reduces the uncertainty of initial calculations, making the calculation results more stable and reliable, further improving the accuracy of error calculation, and enhancing the credibility of CVT status judgment. Attached Figure Description

[0045] Figure 1 This is an overall judgment flowchart of a CVT error calculation method based on a virtual standard algorithm according to the present invention.

[0046] Figure 2 This is a curve of the ratio difference data obtained when Embodiment 1 of the present invention is applied to a substation.

[0047] Figure 3 This is a table of judgment data obtained when Embodiment 1 of the present invention is applied to a substation.

[0048] Figure 4 This is a curve of the angle difference data obtained when Embodiment 2 of the present invention is applied to a substation.

[0049] Figure 5 This is a table of judgment data obtained when Embodiment 2 of the present invention is applied to a substation. Detailed Implementation

[0050] The technical solutions in the embodiments of the present invention will now be described with reference to the accompanying drawings.

[0051] like Figure 1 As shown, a CVT error calculation method based on a virtual standard algorithm includes the following steps:

[0052] S1: Real-time acquisition of raw voltage waveform data of multiple CVTs under the same source condition, and calculation of their amplitude and phase;

[0053] 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;

[0054] S3: Extract the voltage amplitude of each CVT from the aforementioned steady-state dataset;

[0055] 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.

[0056] 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.

[0057] 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.

[0058] 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.

[0059] 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.

[0060] 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.

[0061] 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:

[0062] (1) If the initial virtual standard is required to be correlated with the ratio difference, then we have Formula 1:

[0063] ;

[0064] (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula 2:

[0065] .

[0066] Furthermore, in step S5, the formula for calculating the initial voltage ratio difference is set as follows:

[0067] ,

[0068] The formula for calculating the initial voltage angle difference is set as follows: .

[0069] 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:

[0070] (1) If the real-time virtual standard of each CVT is required to be related to the ratio difference, then we have Formula 3:

[0071] ;

[0072] (2) If the real-time virtual standard of each CVT is required to be related to the angle difference, then we have Formula 4:

[0073] .

[0074] 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:

[0075] (1) If the overall virtual standard is required to be correlated with the ratio difference, then we have Formula 5:

[0076] ;

[0077] (2) If the initial virtual standard is required to be related to the angle difference, then we have Formula Six:

[0078] .

[0079] Further, in step S8, the formula for calculating the instantaneous voltage ratio difference is:

[0080] ,

[0081] The formula for calculating the instantaneous voltage angle difference is as follows: .

[0082] 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:

[0083] ,in, This refers to the number of CVTs.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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

[0088] like Figure 2 and Figure 3 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 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

[0089] 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 5As 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.

[0090] Overall, this method depends on the amount of data, and the calculation results generally meet expectations.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing 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.

[0098] 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.

[0099] 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 embodiments of the present invention.

[0100] 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.

[0101] 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 by: The method comprises the following steps: S1: collecting voltage raw waveform data of multiple branches of CVT in a homologous state in real time, and calculating the amplitude and phase thereof; S2: for each branch of CVT, selecting a section of data reflecting the stable operation state of the CVT to construct a steady-state data set; S3: extracting the voltage amplitude of each branch of CVT from the steady-state data set; S4: according to the voltage amplitude of each branch of CVT obtained in step S3, sorting the voltage amplitude from small to large to obtain a basic data sequence, and constructing an error distribution model after removing the extreme value data of the basic data sequence, and calculating an initial virtual standard; S5: according to the basic data sequence and the initial virtual standard obtained in step S4, calculating the initial voltage ratio difference and the initial voltage angle difference of each branch of CVT; S6: for each branch of CVT, taking the current and previous measurement voltage amplitude, calculating the voltage amplitude mean value in real time through sliding average processing, sorting the voltage amplitude mean value sequence according to the arrangement order of the CVT corresponding to the basic data sequence, and then inverting the real-time virtual standard of each branch of CVT related to the ratio difference and the angle difference; S7: for each branch of CVT, sorting the real-time virtual standard related to the ratio difference and the angle difference in order from small to large to obtain the real-time virtual standard sequence related to the ratio difference and the angle difference, and then removing the extreme value data to calculate the overall virtual standard related to the ratio difference and the angle difference; S8: according to the real-time voltage amplitude mean value sequence obtained in step S6 and the overall virtual standard obtained in step S7, calculating the instantaneous voltage ratio difference and the instantaneous voltage angle difference of each branch of CVT; S9: comparing the instantaneous voltage ratio difference and the instantaneous voltage angle difference of each branch of CVT obtained in step S8 with the corresponding calibration standard, and outputting the state judgment result of the CVT.

2. The virtual standard algorithm based CVT error calculation method of claim 1, wherein: In the step S4, the base data sequence is respectively recorded as a first difference mark sequence , a first angle difference mark sequence , the number of removed extreme values is set as k, and the correlation calculation of the initial virtual standard is established. The calculation formula of the initial virtual standard is set as two items, and the details are as follows: (1) If the initial virtual standard is required to be related to the difference ratio, there is formula one: ; (2) If the initial virtual standard is required to be related to the angular difference, there is formula two: .

3. The virtual standard algorithm based CVT error calculation method of claim 2, wherein: In the step S5, the initial voltage ratio difference is calculated according to the formula: , and the initial voltage angle difference is calculated according to the formula: .

4. The virtual standard algorithm based CVT error calculation method of claim 3, wherein: In the step S6, the real-time voltage amplitude mean sequence is respectively marked as a second difference ratio mark sequence , a second angle difference mark sequence , and the correlation calculation of the real-time virtual standard of each branch CVT is established. The calculation formula of the real-time virtual standard of each branch CVT is set as two items, 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 angular difference, there is formula four: .

5. The virtual standard algorithm based CVT error calculation method of claim 4, wherein: 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, and the correlation calculation of the overall virtual standard is established. The calculation formula of the overall virtual standard is set as two items, and the details are as follows: (1) If the overall virtual standard is required to be related to the difference ratio, there is formula five: ; (2) If the initial virtual standard is required to be related to the angular difference, there is formula six: .

6. The virtual standard algorithm based CVT error calculation method of claim 5, wherein: In the step S8, the formula for calculating the difference of the instantaneous voltage ratio is: The formula for calculating the difference of the instantaneous voltage angle is: .

7. The virtual standard algorithm based CVT error calculation method of claim 5, wherein: In the step S4, S7, the first ratio difference mark sequence, the first angle difference mark sequence, the third ratio difference mark sequence, the third angle difference mark sequence are all removing k extreme value data according to the proportion p, the calculation formula of the removing number k of the extreme value data is: Wherein, is the number of CVT.

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

9. The virtual standard algorithm based CVT error calculation method according to any one of claims 1-8, characterized in that: The CVT error calculation method is executed for 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 of CVT extracted at present is the same as the historical record, jump to step S6, and step S6 calls the corresponding recorded initial voltage angle difference and initial voltage angle difference, otherwise, execute according to the original steps.

10. An electronic device, comprising: The electronic device comprises 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 CVT error calculation method based on the virtual standard algorithm according to the instructions in the program code.

11. A computer-readable storage medium, characterized in that: The computer readable storage medium is used to store program code, and the program code is used to execute the CVT error calculation method based on the virtual standard algorithm.

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