A main grid-voltage checking method and system

Abstract

The application discloses a kind of main distribution network voltage checking method and system, method includes: first voltage data sequence is mapped to distribution network side and obtains main network inference voltage sequence, second voltage data sequence is inverse mapped to main network side and obtains distribution network inversion voltage sequence;Main network inference voltage sequence is compared point by point with second voltage data sequence and obtains first deviation sequence, distribution network inversion voltage sequence is compared point by point with first voltage data sequence and obtains second deviation sequence;According to the deviation sign and deviation amplitude of first deviation sequence and second deviation sequence at the same time node, construct bidirectional deviation state matrix, determine the deviation type of node to be checked, deviation type includes main network side deviation type, distribution network side deviation type and double-side collaborative deviation type;According to deviation type, generate collaborative checking strategy and check.Through bidirectional physical mapping and deviation type identification, the bidirectional collaborative checking of main distribution network voltage data is realized, and the interpretability and accuracy of checking result are improved.

Description

Technical Field

[0001] This invention belongs to the field of power system automation technology, and in particular relates to a method and system for verifying the voltage of the main distribution network. Background Technology

[0002] In power systems, voltage data between the main grid and distribution network is a crucial foundation for grid dispatching, operation monitoring, and power quality analysis. Because different voltage monitoring devices are deployed on the main grid and distribution network sides, and due to limitations such as sampling accuracy, communication delays, and equipment aging, inconsistencies often exist between the first voltage data collected by the main grid and the second voltage data collected by the distribution network. This inconsistency directly affects the accuracy of grid state estimation and the reliability of dispatching decisions.

[0003] In existing technologies, the verification methods for main and distribution network voltage data mainly adopt the following approaches: First, the distribution network data is corrected unidirectionally based on the main grid data; second, a statistical model is established through historical data to remove or interpolate abnormal data; and third, machine learning methods are used to predict and correct voltage data.

[0004] However, the existing technologies mentioned above have the following technical defects: First, the one-way correction method assumes that the main grid side data is accurate and reliable, but in actual operation, the main grid side data may also have acquisition errors or transmission anomalies. Using potentially problematic data as a benchmark will lead to systematic deviations in the verification results. Second, statistical models and machine learning methods lack physical mechanism support, resulting in poor interpretability of the verification results and difficulty in meeting the requirements of power grid operation for data reliability. Third, the existing methods fail to fully utilize the physical coupling relationship between the main grid side and the distribution network side, and cannot achieve bidirectional verification and collaborative verification, resulting in limited verification accuracy. Summary of the Invention

[0005] This invention provides a method and system for verifying the voltage of the main distribution network, which solves the technical problems in the prior art where the voltage verification of the main distribution network relies on a unidirectional reference, lacks bidirectional verification, and has poor interpretability of the verification results.

[0006] In a first aspect, the present invention provides a method for verifying the voltage of a main distribution network, comprising: Obtain the first voltage data sequence of the main grid at different time points, and the second voltage data sequence of the distribution network at the same time point; Based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, a voltage drop physical mapping relationship is established, and the first voltage data sequence is mapped to the distribution grid side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence. At the same time, the second voltage data sequence is inverted and mapped to the main grid side to obtain the distribution grid inverted voltage sequence. The main grid inferred voltage sequence is compared point by point with the second voltage data sequence to obtain the first deviation sequence, and the distribution network inverted voltage sequence is compared point by point with the first voltage data sequence to obtain the second deviation sequence. Based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, a two-way deviation state matrix is ​​constructed, and the deviation type of the node to be checked is determined based on the two-way deviation state matrix. The deviation types include main grid side deviation type, distribution network side deviation type and two-way coordinated deviation type. Based on the deviation type, a collaborative verification strategy corresponding to the node to be verified is generated, and the first voltage data or the second voltage data at the node to be verified is verified according to the collaborative verification strategy to obtain the verified voltage data sequence.

[0007] Secondly, the present invention provides a main distribution network voltage verification system, comprising: The acquisition module is configured to acquire the first voltage data sequence of the main grid side at different time nodes, and the second voltage data sequence of the distribution network side at the same time node; The construction module is configured to establish a voltage drop physical mapping relationship based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, and to map the first voltage data sequence to the distribution grid side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence. At the same time, the second voltage data sequence is inverted and mapped to the main grid side to obtain the distribution grid inverted voltage sequence. The comparison module is configured to perform point-by-point comparison between the main grid inferred voltage sequence and the second voltage data sequence to obtain a first deviation sequence, and to perform point-by-point comparison between the distribution network inverted voltage sequence and the first voltage data sequence to obtain a second deviation sequence; The determination module is configured to construct a bidirectional deviation state matrix based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, and determine the deviation type of the node to be checked based on the bidirectional deviation state matrix, wherein the deviation type includes main grid side deviation type, distribution network side deviation type and bidirectional coordinated deviation type. The verification module is configured to generate a collaborative verification strategy corresponding to the node to be verified based on the deviation type, and to verify the first voltage data or the second voltage data at the node to be verified based on the collaborative verification strategy to obtain a verified voltage data sequence.

[0008] Thirdly, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the main distribution network voltage verification method according to any embodiment of the present invention.

[0009] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the steps of the main distribution network voltage verification method according to any embodiment of the present invention.

[0010] This application presents a method and system for verifying voltage across the main grid and distribution network. By establishing a physical mapping relationship for voltage drops, it achieves bidirectional mapping and mutual verification of data between the main grid and distribution network. Based on the sign and amplitude of the bidirectional deviations, a deviation state matrix is ​​constructed to accurately identify the root cause of voltage deviations (main grid deviation, distribution network deviation, or bilateral collaborative deviation). Differentiated collaborative verification strategies are generated for different deviation types, thus realizing bidirectional collaborative verification of main grid and distribution network data. This method changes the unidirectionally dependent verification mode in existing technologies. Through physical model-driven and bidirectional verification mechanisms, it significantly improves the interpretability and accuracy of verification results. Furthermore, closed-loop iterative optimization further ensures the consistency of the verification results. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart of a main distribution network voltage verification method provided in an embodiment of the present invention; Figure 2 This is a structural block diagram of a main distribution network voltage verification system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] Please see Figure 1 The diagram shows a flowchart of a main distribution network voltage verification method according to this application.

[0015] like Figure 1 As shown, the main distribution network voltage verification method specifically includes the following steps: Step S101: Obtain the first voltage data sequence of the main grid side at different time nodes, and the second voltage data sequence of the distribution network side at the same time node.

[0016] In this step, a first voltage data sequence is acquired using a first voltage monitoring device installed on the main grid side, and a second voltage data sequence is acquired using a second voltage monitoring device installed on the distribution network side. Both the first and second voltage monitoring devices employ high-precision synchronous phasor measurement units (PMUs), with a voltage measurement accuracy of no less than 0.2% and a sampling frequency of no less than 50Hz, enabling them to acquire voltage amplitude, phase, and timestamp information in real time.

[0017] To ensure the time comparability of voltage data collected from the main grid and distribution network, both the first and second voltage monitoring devices are synchronized with high precision using the Global Positioning System (GPS) or the BeiDou Navigation Satellite System (BDS), with a synchronization accuracy better than 1 microsecond. This unified time reference ensures that voltage data collected from the main grid and distribution network are aligned to the same time points.

[0018] Step S102: Based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, establish a voltage drop physical mapping relationship, and map the first voltage data sequence to the distribution grid side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence. At the same time, invert and map the second voltage data sequence to the main grid side to obtain the distribution grid inverted voltage sequence.

[0019] In this step, the feeder topology between the main grid side and the distribution grid side is obtained, and the resistance and reactance parameters of each line segment in the feeder topology are extracted. Based on the resistance parameters and the reactance parameters, a forward voltage drop mapping function and a reverse voltage inversion mapping function are established. The forward voltage drop mapping function is used to characterize the forward physical correlation between the main grid voltage and the distribution grid voltage, and the reverse voltage inversion mapping function is used to characterize the reverse physical correlation between the distribution grid voltage and the main grid voltage. The forward voltage drop mapping function and the reverse voltage inversion mapping function are used together as the physical mapping relationship of the voltage drop.

[0020] Further, the first voltage data at each time node in the first voltage data sequence is obtained, and the active power data and reactive power data at the corresponding time nodes are obtained; Substituting the first voltage data, the active power data, and the reactive power data into the forward voltage drop mapping function, the main grid inferred voltage sequence is calculated, wherein the expression of the forward voltage drop mapping function is: , In the formula, Infer voltage from the main grid This is the first voltage data. This is active power data. This is reactive power data. This refers to the total resistance parameter of the line. This refers to the total reactance parameter of the line; Obtain the second voltage data at each time node in the second voltage data sequence, and obtain the active power data and reactive power data at the corresponding time nodes; Substituting the second voltage data, the active power data, and the reactive power data into the reverse voltage inversion mapping function, the distribution network inversion voltage sequence is calculated, wherein the expression of the reverse voltage inversion mapping function is: , In the formula, For distribution network inversion voltage, This is the second voltage data.

[0021] In one specific embodiment, the feeder topology between the main network side and the distribution network side is first obtained, and the resistance parameters of each segment of the line in the feeder topology are extracted. and reactance parameters Specifically, parameters such as the line type, length, and cross-sectional area of ​​the feeder between the main grid and distribution grid are obtained from the power system dispatch center. The resistance and reactance values ​​per unit length are obtained by looking up the table based on the line type, and then multiplied by the line length to obtain the total resistance and reactance parameters for that section of the line. If the feeder topology contains multiple line segments, the resistance and reactance parameters of each segment are added together to obtain the equivalent total resistance and reactance parameters.

[0022] Based on the total resistance and total reactance parameters of the line, a forward voltage drop mapping function and a reverse voltage inversion mapping function are established. The forward voltage drop mapping function characterizes the forward physical correlation between the main grid voltage and the distribution grid voltage, i.e., inferring the theoretical voltage value of the distribution grid from the main grid voltage data. The reverse voltage inversion mapping function characterizes the reverse physical correlation between the distribution grid voltage and the main grid voltage, i.e., reversing the theoretical voltage value of the main grid from the distribution grid voltage data. Both the forward voltage drop mapping function and the reverse voltage inversion mapping function are used together as the voltage drop physical mapping relationship.

[0023] In a specific application scenario, a 10kV feeder connects bus A on the main grid side and bus B on the distribution network side. The total resistance of the line is 0.5Ω, and the total reactance is 0.3Ω. The main grid side collects the first voltage data sequence at different time points, and simultaneously obtains the active power data at the corresponding time points through a power quality monitoring device. and reactive power data .

[0024] Obtain the first voltage data at each time point in the first voltage data sequence. And obtain the active power data at the corresponding time point. and reactive power data Substituting the first voltage data, the active power data, and the reactive power data into the forward voltage drop mapping function, the main grid inferred voltage sequence is calculated.

[0025] Further, the second voltage data at each time point in the second voltage data sequence is obtained. And obtain the active power data at the corresponding time point. and reactive power data Substituting the second voltage data, the active power data, and the reactive power data into the reverse voltage inversion mapping function, the distribution network inversion voltage sequence is calculated.

[0026] Through the above calculations, the main grid inferred voltage sequence and the distribution network inverted voltage sequence corresponding to the original data sequence were obtained. The main grid inferred voltage sequence reflects the theoretical voltage value that the distribution network should have if the main grid voltage data is accurate and the line parameters are known; the distribution network inverted voltage sequence reflects the theoretical voltage value that the main grid should have if the distribution network voltage data is accurate and the line parameters are known. The construction of these two sequences provides a data benchmark with physical mechanism support for subsequent bidirectional deviation comparison and deviation type determination.

[0027] In summary, a bidirectional physical connection is established between the main grid side and the distribution network side, enabling data from both sides to mutually verify and serve as benchmarks. The forward voltage drop mapping function maps the voltage from the main grid side to the distribution network side based on line impedance parameters, while the inverse mapping function reverses the voltage from the distribution network side back to the main grid side, forming a complete closed-loop physical constraint. The physical laws of the power system (voltage drop principle) are integrated into the data verification process, giving the verification benchmark clear physical meaning and interpretability. Compared to existing technologies that rely solely on statistical models or machine learning methods, the inferred voltage sequence and inverse voltage sequence generated by this scheme are both derived from the voltage drop physical equation, with each calculation step having a clear physical basis, significantly improving the reliability of the verification results.

[0028] Step S103: The main grid inferred voltage sequence is compared point by point with the second voltage data sequence to obtain the first deviation sequence; the distribution network inverted voltage sequence is compared point by point with the first voltage data sequence to obtain the second deviation sequence.

[0029] In this step, the main grid inferred voltage sequence and distribution network inverted voltage sequence calculated in step S102 are compared point by point with the original collected voltage data sequence to calculate the voltage deviation value and form the first deviation sequence and the second deviation sequence.

[0030] Specifically, for each time node t, the first deviation value Defined as the difference between the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence and the second voltage data at the corresponding time node in the second voltage data sequence, i.e.: , Second deviation value Defined as the difference between the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence and the first voltage data at the corresponding time node in the first voltage data sequence, i.e.: , The two deviation values ​​mentioned above reflect the degree of inconsistency between the voltage data from different perspectives: First deviation value The second deviation value reflects the difference between the theoretical voltage inferred from the main grid side and the actual measured voltage on the distribution grid side. This reflects the difference between the theoretical voltage on the main grid side, which is inverted based on the distribution network side, and the actual measured voltage on the main grid side.

[0031] Continuing with the specific application scenario in step S102, the total resistance of this 10kV feeder is 0.5Ω, and the total reactance is 0.3Ω. At five consecutive time points... to The first voltage data sequence obtained from the above data collection is 10.20kV, 10.18kV, 10.22kV, 10.19kV, and 10.21kV; the second voltage data sequence is 9.95kV, 9.98kV, 9.96kV, 9.97kV, and 9.99kV. The main grid inferred voltage sequence calculated through step S102 is 9.94kV, 9.92kV, 9.96kV, 9.93kV, and 9.95kV; the distribution network inverted voltage sequence is 10.28kV, 10.31kV, 10.29kV, 10.30kV, and 10.32kV.

[0032] Through the above point-by-point comparison calculation, the first deviation sequence and the second deviation sequence, which reflect the degree of bidirectional inconsistency between the voltage data of the main grid side and the distribution grid side, were obtained, providing a quantitative basis for subsequent steps to construct a bidirectional deviation state matrix and determine the deviation type.

[0033] In summary, a bidirectional deviation sequence was constructed to quantify the degree of inconsistency between the voltage data of the main grid side and the distribution grid side from two opposite directions. The first deviation sequence reflects the deviation of the distribution grid side data when the main grid side is used as the reference, and the second deviation sequence reflects the deviation of the main grid side data when the distribution grid side is used as the reference. This bidirectional comparison mechanism avoids the verification deviation caused by the error of the reference data itself in the traditional one-way comparison. The point-by-point comparison method allows the deviation value of each time node to be calculated independently, completely preserving the trajectory of voltage deviation changes over time, and providing rich time-series information for subsequent deviation type determination.

[0034] Step S104: Based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, construct a bidirectional deviation state matrix, and determine the deviation type of the node to be checked based on the bidirectional deviation state matrix, wherein the deviation type includes main grid side deviation type, distribution network side deviation type and bidirectional coordinated deviation type.

[0035] In this step, for a certain time point, the first deviation value in the first deviation sequence and the second deviation value in the second deviation sequence are obtained; When the first deviation value is positive and the second deviation value is negative, the deviation type of a certain time node is determined to be the main grid side deviation type, and the first voltage data of a certain time node is marked as data to be checked. When the first deviation value is negative and the second deviation value is positive, the deviation type of a certain time node is determined to be the distribution network side deviation type, and the second voltage data of the certain time node is marked as data to be checked; When both the first deviation value and the second deviation value are positive or both are negative, the deviation type at a certain time node is determined to be a two-sided cooperative deviation type, and both the first voltage data and the second voltage data at a certain time node are marked as data to be checked. The deviation types at each time point are arranged in chronological order to construct the bidirectional deviation state matrix, wherein the rows of the bidirectional deviation state matrix correspond to the time points and the columns correspond to the deviation type identifiers.

[0036] In one specific embodiment, based on the first deviation sequence and the second deviation sequence calculated in step S103, the deviation sign and deviation amplitude of each time node are analyzed to construct a state matrix that can characterize the bidirectional characteristics of voltage deviation, and the deviation type of the time node is determined according to the combination rules of the deviation signs.

[0037] Specifically, for a certain time node t, the first deviation value in the first deviation sequence is obtained. and the second deviation value in the second deviation sequence The sign of the deviation value (positive, negative, or zero) reflects the directional characteristics of the voltage deviation, while the absolute value of the deviation reflects the severity of the voltage deviation.

[0038] Based on the combination rules of deviation signs, the following judgment rules are used to determine the deviation type: When the first deviation value is positive and the second deviation value is negative, that is >0 and If the value is less than 0, the deviation type at this time point is determined to be a grid-side deviation. In this case, the grid-inferred voltage is greater than the actual distribution network voltage, while the distribution network-derived voltage is less than the actual grid-side voltage, indicating that the root cause of the voltage deviation lies in the anomaly in the grid-side data. In this situation, the first voltage data at this time point is marked as data to be verified.

[0039] When the first deviation value is negative and the second deviation value is positive, that is... <0 and If the value is >0, the deviation type at this time point is determined to be distribution network side deviation. In this case, the main grid inferred voltage is less than the actual distribution network voltage, while the distribution network inverted voltage is greater than the actual main grid voltage, indicating that the root cause of the voltage deviation lies in the abnormality of the distribution network side data. At this time, the second voltage data at this time point is marked as data to be verified.

[0040] When both the first deviation value and the second deviation value are positive or both are negative, that is... >0 and >0, or <0 and If the value is less than 0, the deviation at this time point is determined to be a two-sided coordinated deviation. In this case, the deviations in both directions point in the same direction, indicating that there may be a coordinated deviation between the main grid and distribution network data, or that there are errors in the line parameters. In this case, both the first and second voltage data at this time point are marked as data to be verified.

[0041] The deviation types at each time point are arranged in chronological order to construct the bidirectional deviation state matrix. Rows in the bidirectional deviation state matrix correspond to time points, and columns correspond to deviation type identifiers. Deviation type identifiers can use numerical encoding, for example, "1" represents a main grid-side deviation, "2" represents a distribution network-side deviation, "3" represents a two-sided coordinated deviation, and "0" represents no deviation.

[0042] Continuing with the specific application scenario in step S103, at five consecutive time nodes to The first deviation sequence has been calculated above. =[-0.01,-0.06,0,-0.04,-0.04]kV, Second Deviation Sequence =[0.08,0.13,0.07,0.11,0.11]kV.

[0043] for Time point, =-0.01<0, =0.08>0, which meets the condition of "the first deviation value is negative and the second deviation value is positive". Therefore, the deviation type at this time point is determined to be distribution network side deviation type. The second voltage data at the time node, 9.95kV, is marked as data to be verified.

[0044] for Time point, =-0.06<0, =0.13>0, which also meets the criteria for the distribution network side deviation type. The second voltage data at the time node, 9.98kV, is marked as data to be verified.

[0045] for Time point, =0, =0.07>0. When the first deviation value is zero, it is treated as a positive deviation, i.e. =0 is considered as ≥0, >0, does not meet the conditions for distribution network side deviation type (requires) <0 and >0), and does not meet the conditions for main network side deviation type (requires >0 and <0, which also does not meet the condition of "both positive or both negative" in the two-sided cooperative bias type. In fact, =0 indicates that the voltage inferred from the main grid is consistent with the actual voltage of the distribution network, while A value greater than 0 indicates that the distribution network inverted voltage is greater than the actual main grid voltage. Based on specific numerical analysis, the main grid inferred voltage (9.96kV) at the specified time point is equal to the second voltage data (9.96kV), while the distribution network inverted voltage (10.29kV) is greater than the first voltage data (10.22kV). The root cause of the deviation points to the distribution network side; therefore, it is still determined to be a distribution network-side deviation. The second voltage data at the time node, 9.96kV, is marked as data to be verified.

[0046] for Time point, =-0.04<0, =0.11>0, therefore it is determined to be a distribution network side deviation type, and will The second voltage data at the time node, 9.97kV, is marked as data to be verified.

[0047] for Time point, =-0.04<0, =0.11>0, therefore it is determined to be a distribution network side deviation type, and will The second voltage data at the time node, 9.99kV, is marked as data to be verified.

[0048] Arrange the above judgment results in chronological order to construct the two-way deviation state matrix as follows: The deviation type corresponding to the time node is identified as 2 (distribution network side deviation type). The deviation type identifier corresponding to the time node is 2; The deviation type identifier corresponding to the time node is 2; The deviation type identifier corresponding to the time node is 2; The deviation type identifier corresponding to the time node is 2.

[0049] The resulting bidirectional deviation state matrix is ​​[2,2,2,2,2], indicating that in this application scenario, the voltage deviation at all time points belongs to the distribution network side deviation type. That is, the root cause of the voltage deviation lies in the abnormality of the distribution network side data. Subsequent verification should focus on the second voltage data of the distribution network side.

[0050] Regarding the analysis of deviation magnitude, for multiple time points identified as belonging to the same deviation type, they can be prioritized according to the magnitude of the deviation. A larger deviation magnitude indicates a more severe degree of data anomaly at that time point, and should be given higher priority during the verification process. For example, in this scenario... The absolute values ​​of the first deviation (0.06 kV) and the second deviation (0.13 kV) at the time nodes are both at their maximum, therefore... The verification of time points has the highest priority.

[0051] In addition, when the absolute value of the first or second deviation value at a certain time point is less than the preset noise threshold (e.g., 0.005kV), the deviation at that point can be considered to be caused by measurement noise and will not be included in the node to be checked, so as to avoid over-checking small fluctuations.

[0052] Through the above steps, a state matrix that can intuitively reflect the bidirectional characteristics of voltage deviation is constructed, and the orientation type of the deviation root cause is accurately identified based on the physical meaning of the deviation sign, providing a clear decision basis for the subsequent generation of differentiated collaborative verification strategies.

[0053] Step S105: Generate a collaborative verification strategy corresponding to the node to be verified according to the deviation type, and verify the first voltage data or the second voltage data at the node to be verified according to the collaborative verification strategy to obtain the verified voltage data sequence.

[0054] In this step, when the deviation type is the main network side deviation type, a first collaborative verification strategy is generated. The first collaborative verification strategy is: based on the second voltage data, obtain the first difference between the second voltage data at the node to be verified and the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence, and use the first difference as the first correction amount to correct the first voltage data at the node to be verified. When the deviation type is distribution network side deviation type, a second collaborative verification strategy is generated. The second collaborative verification strategy is: based on the first voltage data, obtain the second difference between the first voltage data at the node to be verified and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence, and use the second difference as the second correction amount to correct the second voltage data at the node to be verified. When the deviation type is a two-sided collaborative deviation type, a third collaborative verification strategy is generated. The third collaborative verification strategy is as follows: obtain at least two historical verification nodes that are adjacent to the node to be verified and whose deviation type is either the main grid side deviation type or the distribution network side deviation type; fit a voltage correlation function based on the voltage data of the at least two historical verification nodes; generate a virtual reference voltage for the current time node through the voltage correlation function; and simultaneously perform fusion verification on the first voltage data and the second voltage data at the node to be verified based on the virtual reference voltage.

[0055] Further, when the first collaborative verification strategy is executed, the second voltage data at the node to be verified is obtained, and the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence is obtained. The first difference between the second voltage data and the main network inferred voltage is calculated, and the first difference is superimposed on the first voltage data at the node to be verified to obtain the verified first voltage data. When the second collaborative verification strategy is executed, the first voltage data at the node to be verified is obtained, and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage is calculated, and the second difference is superimposed on the second voltage data at the node to be verified to obtain the verified second voltage data. When the third collaborative verification strategy is executed, the virtual reference voltage is obtained, and the first deviation value between the first voltage data and the virtual reference voltage at the node to be verified and the second deviation value between the second voltage data and the virtual reference voltage are calculated respectively. The first fusion weight and the second fusion weight are allocated according to the ratio of the first deviation value and the second deviation value. The first voltage data and the second voltage data are weighted and averaged based on the first fusion weight and the second fusion weight to obtain the verified voltage data pair. The verified first voltage data and the verified second voltage data are stored in the verified first voltage data sequence and the verified second voltage data sequence respectively according to the chronological order of the time nodes.

[0056] It should be noted that the first voltage data sequence after verification is resubmitted into the voltage drop physical mapping relationship to obtain the updated main grid inferred voltage sequence, and the second voltage data sequence after verification is resubmitted into the voltage drop physical mapping relationship to obtain the updated distribution network inverted voltage sequence. The first update deviation sequence is calculated based on the updated main network inferred voltage sequence and the verified second voltage data sequence, and the second update deviation sequence is calculated based on the updated distribution network inverted voltage sequence and the verified first voltage data sequence. When the absolute value of the deviation at all time points in the first update deviation sequence and the second update deviation sequence is less than the preset convergence threshold, the verified voltage data sequence is output as the final verification result. Otherwise, the bidirectional deviation state matrix is ​​reconstructed based on the first and second updated deviation sequences, and deviation type determination and collaborative verification are performed iteratively.

[0057] In one specific embodiment, when the deviation type is a grid-side deviation, a first collaborative verification strategy is generated. The first collaborative verification strategy is as follows: using the second voltage data as a benchmark, the first voltage data is corrected. Specifically, the second voltage data at the node to be verified is obtained, and the grid-inferred voltage at the corresponding time node in the grid-inferred voltage sequence is obtained. A first difference between the second voltage data and the grid-inferred voltage is calculated. The first difference is then superimposed as a first correction amount onto the first voltage data at the node to be verified to obtain the verified first voltage data. The physical meaning of this strategy is that when there is a deviation in the grid-side data, the grid-side data is corrected in reverse using relatively reliable distribution network-side data, based on the physical mapping relationship.

[0058] When the deviation type is distribution network side deviation, a second collaborative verification strategy is generated. The second collaborative verification strategy is as follows: using the first voltage data as a benchmark, the second voltage data is corrected. Specifically, the first voltage data at the node to be verified is obtained, and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence is obtained. A second difference between the first voltage data and the distribution network inversion voltage is calculated. The second difference is then superimposed as a second correction amount onto the second voltage data at the node to be verified to obtain the verified second voltage data. The physical meaning of this strategy is that when there is a deviation in the distribution network side data, the distribution network side data is positively corrected using relatively reliable main grid side data, with the physical mapping relationship as the link.

[0059] When the deviation type is a two-sided collaborative deviation, a third collaborative verification strategy is generated. The third collaborative verification strategy is as follows: acquire at least two historical verification nodes adjacent to the node to be verified and whose deviation type is either a main grid side deviation or a distribution network side deviation; fit a voltage correlation function based on the voltage data of the at least two historical verification nodes; generate a virtual reference voltage for the current time node through the voltage correlation function; and simultaneously perform fusion verification on the first voltage data and the second voltage data at the node to be verified based on the virtual reference voltage.

[0060] Continuing with the specific application scenarios in steps S101 to S104, at five consecutive time nodes to Based on the deviation type determination in step S104, all time points are distribution network side deviations, meaning the root cause of the deviation points to anomalies in the distribution network side data. Therefore, in this scenario, the second collaborative verification strategy is executed to correct the second voltage data based on the first voltage data.

[0061] for At the specified time point, obtain the first voltage data (10.20kV) at the node to be verified, and obtain the distribution network inversion voltage (10.28kV) at the corresponding time point in the distribution network inversion voltage sequence. Calculate the second difference between the first voltage data and the distribution network inversion voltage (10.20-10.28=-0.08kV). Add the second difference as a second correction to the second voltage data at the node to be verified to obtain the verified second voltage data (9.95+(-0.08)=9.87kV).

[0062] for At the specified time point, the first voltage data (10.18kV) at the node to be verified is obtained, and the distribution network inversion voltage (10.31kV) at the corresponding time point in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage (10.18-10.31=-0.13kV) is calculated. The second difference is then added to the second voltage data at the node to be verified as a second correction value to obtain the verified second voltage data (9.98+(-0.13)=9.85kV).

[0063] for At the specified time point, the first voltage data (10.22kV) at the node to be verified is obtained, and the distribution network inversion voltage (10.29kV) at the corresponding time point in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage (10.22-10.29=-0.07kV) is calculated. The second difference is then added to the second voltage data at the node to be verified as a second correction value to obtain the verified second voltage data (9.96+(-0.07)=9.89kV).

[0064] for At the specified time point, the first voltage data (10.19kV) at the node to be verified is obtained, and the distribution network inversion voltage (10.30kV) at the corresponding time point in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage (10.19-10.30=-0.11kV) is calculated, and the second difference is added as the second correction amount to the second voltage data at the node to be verified to obtain the verified second voltage data (9.97+(-0.11)=9.86kV).

[0065] for At the specified time point, the first voltage data (10.21kV) at the node to be verified is obtained, and the distribution network inversion voltage (10.32kV) at the corresponding time point in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage (10.21-10.32=-0.11kV) is calculated. The second difference is then added to the second voltage data at the node to be verified as a second correction value to obtain the verified second voltage data (9.99+(-0.11)=9.88kV).

[0066] The verified second voltage data is stored in the verified second voltage data sequence according to the chronological order of the time nodes, resulting in... =[9.87, 9.85, 9.89, 9.86, 9.88]kV. The first voltage data sequence was not marked as to be checked, therefore the checked first voltage data sequence remains unchanged and is still [9.87, 9.85, 9.89, 9.86, 9.88]kV. =[10.20, 10.18, 10.22,10.19, 10.21]kV.

[0067] To fully illustrate the execution process of the third collaborative verification strategy, let's assume another application scenario exists, where at a certain time point... It was determined to be a two-sided coordinated deviation type. In this scenario, the main grid side voltage data... =10.15kV, distribution network voltage data =9.90kV, first deviation The value is 0.05kV (positive), the second deviation. The value is 0.08kV (positive), which meets the two-sided cooperative deviation judgment condition of "both are positive".

[0068] Get at a specific time point Two adjacent historical verification nodes with deviation types of either grid-side or distribution-side deviation are selected. For example, time node t-1 is grid-side deviation, with a verified grid-side voltage of 10.12kV and a distribution-side voltage of 9.88kV; time node t-2 is distribution-side deviation, with a verified grid-side voltage of 10.14kV and a distribution-side voltage of 9.89kV. A voltage correlation function is fitted based on the voltage data of these two historical verification nodes, and a linear fitting method is used to obtain... The calculated values ​​are k=0.975 and b=0.05. The first voltage data at the current time point is then used. Substituting 10.15kV into the fitting function generates a virtual reference voltage. =0.975×10.15+0.05=9.95kV.

[0069] Calculate the first deviation value δ1 between the first voltage data at the node to be checked and the virtual reference voltage. - =10.15-9.95=0.20kV, the second deviation value δ2 between the second voltage data and the virtual reference voltage is = - =9.90-9.95=-0.05kV. The fusion weights are assigned based on the ratio of the absolute values ​​of the first and second deviations. Let the first fusion weight w1=|δ2| / (|δ1|+|δ2|)=0.05 / (0.20+0.05)=0.2, and the second fusion weight w2=|δ1| / (|δ1|+|δ2|)=0.20 / (0.20+0.05)=0.8. A weighted average of the first and second voltage data is then performed based on the fusion weights to obtain the verified voltage data pair: =w1× +w2× =0.2×9.95+0.8×10.15=10.11kV, =w1× +w2× =0.2×9.90+0.8×9.95=9.94kV.

[0070] After completing the above verification operations, the verified first voltage data sequence and the verified second voltage data sequence are used as feedback inputs to re-execute voltage mapping and deviation calculation in order to verify whether the verification results meet the consistency requirements.

[0071] In summary, the method of this application acquires a first voltage data sequence on the main grid side and a second voltage data sequence on the distribution network side; establishes a physical mapping relationship for voltage drop based on topological connections and line impedance parameters, maps the first voltage data sequence to the distribution network side to obtain the inferred voltage sequence of the main grid, and inversely maps the second voltage data sequence to the main grid side to obtain the inverted voltage sequence of the distribution network; compares the inferred voltage sequence of the main grid with the second voltage data sequence point by point to obtain a first deviation sequence, and compares the inverted voltage sequence of the distribution network with the first voltage data sequence point by point to obtain a second deviation sequence; constructs a bidirectional deviation state matrix based on the deviation sign and deviation amplitude of the first and second deviation sequences at the same time node, determines the deviation type of the node to be checked, including main grid side deviation type, distribution network side deviation type, and bilateral collaborative deviation type; and generates a collaborative verification strategy based on the deviation type for verification. Through bidirectional physical mapping and deviation type identification, bidirectional collaborative verification of main and distribution network voltage data is achieved, improving the interpretability and accuracy of the verification results.

[0072] Please see Figure 2 The diagram shows a structural block diagram of a main distribution network voltage verification system according to this application.

[0073] like Figure 2 As shown, the main distribution network voltage verification system 200 includes an acquisition module 210, a construction module 220, a comparison module 230, a determination module 240, and a verification module 250.

[0074] The acquisition module 210 is configured to acquire a first voltage data sequence from the main grid side at different time points and a second voltage data sequence from the distribution network side at the same time point; the construction module 220 is configured to establish a voltage drop physical mapping relationship based on the topological connection relationship and line impedance parameters between the main grid side and the distribution network side, and map the first voltage data sequence to the distribution network side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence, and simultaneously invert and map the second voltage data sequence to the main grid side to obtain the distribution network inverted voltage sequence; the comparison module 230 is configured to perform point-by-point comparison between the main grid inferred voltage sequence and the second voltage data sequence to obtain a first deviation sequence, and invert the distribution network... The voltage sequence is compared point-by-point with the first voltage data sequence to obtain a second deviation sequence; the determination module 240 is configured to construct a bidirectional deviation state matrix based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, and determine the deviation type of the node to be checked based on the bidirectional deviation state matrix, wherein the deviation type includes main grid side deviation type, distribution network side deviation type and bilateral collaborative deviation type; the verification module 250 is configured to generate a collaborative verification strategy corresponding to the node to be checked based on the deviation type, and verify the first voltage data or the second voltage data at the node to be checked based on the collaborative verification strategy to obtain the verified voltage data sequence.

[0075] It should be understood that Figure 2 The modules and references described in the document Figure 1 The steps described in the text correspond to those in the method described above. Therefore, the operations, features, and corresponding technical effects described above also apply to the method described in the text. Figure 2 The various modules in the document will not be described in detail here.

[0076] In other embodiments, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the main distribution network voltage verification method in any of the above method embodiments; In one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, which are configured as follows: Obtain the first voltage data sequence of the main grid at different time points, and the second voltage data sequence of the distribution network at the same time point; Based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, a voltage drop physical mapping relationship is established, and the first voltage data sequence is mapped to the distribution grid side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence. At the same time, the second voltage data sequence is inverted and mapped to the main grid side to obtain the distribution grid inverted voltage sequence. The main grid inferred voltage sequence is compared point by point with the second voltage data sequence to obtain the first deviation sequence, and the distribution network inverted voltage sequence is compared point by point with the first voltage data sequence to obtain the second deviation sequence. Based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, a two-way deviation state matrix is ​​constructed, and the deviation type of the node to be checked is determined based on the two-way deviation state matrix. The deviation types include main grid side deviation type, distribution network side deviation type and two-way coordinated deviation type. Based on the deviation type, a collaborative verification strategy corresponding to the node to be verified is generated, and the first voltage data or the second voltage data at the node to be verified is verified according to the collaborative verification strategy to obtain the verified voltage data sequence.

[0077] Computer-readable storage media may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data created based on the use of the main distribution network voltage verification system, etc. Furthermore, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include memory remotely disposed relative to a processor, and these remote memories may be connected to the main distribution network voltage verification system via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0078] Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present invention, such as... Figure 3 As shown, the device includes a processor 310 and a memory 320. The electronic device may also include an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 can be connected via a bus or other means. Figure 3 Taking a bus connection as an example, the memory 320 is the computer-readable storage medium described above. The processor 310 executes various server functions and data processing by running non-volatile software programs, instructions, and modules stored in the memory 320, thereby implementing the main distribution network voltage verification method described in the above embodiment. The input device 330 can receive input digital or character information and generate key signal inputs related to user settings and function control of the main distribution network voltage verification system. The output device 340 may include a display screen or other display device.

[0079] The aforementioned electronic device can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in the embodiments of the present invention.

[0080] In one implementation, the above-described electronic device is applied in a main distribution network voltage verification system for a client, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to: Obtain the first voltage data sequence of the main grid at different time points, and the second voltage data sequence of the distribution network at the same time point; Based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, a voltage drop physical mapping relationship is established, and the first voltage data sequence is mapped to the distribution grid side based on the voltage drop physical mapping relationship to obtain the main grid inferred voltage sequence. At the same time, the second voltage data sequence is inverted and mapped to the main grid side to obtain the distribution grid inverted voltage sequence. The main grid inferred voltage sequence is compared point by point with the second voltage data sequence to obtain the first deviation sequence, and the distribution network inverted voltage sequence is compared point by point with the first voltage data sequence to obtain the second deviation sequence. Based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, a two-way deviation state matrix is ​​constructed, and the deviation type of the node to be checked is determined based on the two-way deviation state matrix. The deviation types include main grid side deviation type, distribution network side deviation type and two-way coordinated deviation type. Based on the deviation type, a collaborative verification strategy corresponding to the node to be verified is generated, and the first voltage data or the second voltage data at the node to be verified is verified according to the collaborative verification strategy to obtain the verified voltage data sequence.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for verifying the voltage of a main distribution network, characterized in that, include: Obtain the first voltage data sequence of the main grid at different time points, and the second voltage data sequence of the distribution network at the same time point; Based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, a physical mapping relationship for voltage drop is established. Then, based on this physical mapping relationship, the first voltage data sequence is mapped to the distribution grid side to obtain the main grid inferred voltage sequence. Simultaneously, the second voltage data sequence is inverted and mapped to the main grid side to obtain the distribution grid inverted voltage sequence. Specifically, establishing the physical mapping relationship for voltage drop includes: Obtain the feeder topology between the main grid side and the distribution network side, and extract the resistance and reactance parameters of each line segment in the feeder topology. Based on the resistance parameters and the reactance parameters, a forward voltage drop mapping function and a reverse voltage inversion mapping function are established. The forward voltage drop mapping function is used to characterize the forward physical correlation between the main grid voltage and the distribution grid voltage, and the reverse voltage inversion mapping function is used to characterize the reverse physical correlation between the distribution grid voltage and the main grid voltage. The expression for the forward voltage drop mapping function is: ， In the formula, Infer voltage from the main grid This is the first voltage data. This is active power data. This is reactive power data. This refers to the total resistance parameter of the line. This refers to the total reactance parameter of the line; The expression for the reverse voltage inversion mapping function is: ， In the formula, For distribution network inversion voltage, This is the second voltage data; The forward voltage drop mapping function and the reverse voltage inversion mapping function are used together as the physical mapping relationship of the voltage drop; The main grid inferred voltage sequence is compared point by point with the second voltage data sequence to obtain the first deviation sequence, and the distribution network inverted voltage sequence is compared point by point with the first voltage data sequence to obtain the second deviation sequence. Based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, a two-way deviation state matrix is ​​constructed, and the deviation type of the node to be checked is determined based on the two-way deviation state matrix. The deviation types include main grid side deviation type, distribution network side deviation type and two-way coordinated deviation type. A collaborative verification strategy corresponding to the node to be verified is generated based on the deviation type, and the first voltage data or the second voltage data at the node to be verified is verified according to the collaborative verification strategy to obtain a verified voltage data sequence. The collaborative verification strategy includes: When the deviation type is the main network side deviation type, a first collaborative verification strategy is generated. The first collaborative verification strategy is: based on the second voltage data, obtain the first difference between the second voltage data at the node to be verified and the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence, and use the first difference as the first correction amount to correct the first voltage data at the node to be verified. When the deviation type is distribution network side deviation type, a second collaborative verification strategy is generated. The second collaborative verification strategy is: based on the first voltage data, obtain the second difference between the first voltage data at the node to be verified and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence, and use the second difference as the second correction amount to correct the second voltage data at the node to be verified. When the deviation type is a two-sided collaborative deviation type, a third collaborative verification strategy is generated. The third collaborative verification strategy is as follows: obtain at least two historical verification nodes that are adjacent to the node to be verified and whose deviation type is either the main grid side deviation type or the distribution network side deviation type; fit a voltage correlation function based on the voltage data of the at least two historical verification nodes; generate a virtual reference voltage for the current time node through the voltage correlation function; and simultaneously perform fusion verification on the first voltage data and the second voltage data at the node to be verified based on the virtual reference voltage.

2. The method for verifying the voltage of a main distribution network according to claim 1, characterized in that, The step of constructing a bidirectional deviation state matrix based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, and determining the deviation type of the node to be checked based on the bidirectional deviation state matrix includes: For a given time point, obtain the first deviation value in the first deviation sequence and the second deviation value in the second deviation sequence; When the first deviation value is positive and the second deviation value is negative, the deviation type of a certain time node is determined to be the main grid side deviation type, and the first voltage data of a certain time node is marked as data to be checked. When the first deviation value is negative and the second deviation value is positive, the deviation type of a certain time node is determined to be the distribution network side deviation type, and the second voltage data of the certain time node is marked as data to be checked; When both the first deviation value and the second deviation value are positive or both are negative, the deviation type at a certain time node is determined to be a two-sided cooperative deviation type, and both the first voltage data and the second voltage data at a certain time node are marked as data to be checked. The deviation types at each time point are arranged in chronological order to construct the bidirectional deviation state matrix, wherein the rows of the bidirectional deviation state matrix correspond to the time points and the columns correspond to the deviation type identifiers.

3. The method for verifying the voltage of a main distribution network according to claim 1, characterized in that, The step of verifying the first voltage data or the second voltage data at the node to be verified according to the collaborative verification strategy, to obtain the verified voltage data sequence, includes: When the first collaborative verification strategy is executed, the second voltage data at the node to be verified is obtained, and the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence is obtained. The first difference between the second voltage data and the main network inferred voltage is calculated, and the first difference is superimposed on the first voltage data at the node to be verified to obtain the verified first voltage data. When the second collaborative verification strategy is executed, the first voltage data at the node to be verified is obtained, and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence is obtained. The second difference between the first voltage data and the distribution network inversion voltage is calculated, and the second difference is superimposed on the second voltage data at the node to be verified to obtain the verified second voltage data. When the third collaborative verification strategy is executed, the virtual reference voltage is obtained, and the first deviation value between the first voltage data and the virtual reference voltage at the node to be verified and the second deviation value between the second voltage data and the virtual reference voltage are calculated respectively. The first fusion weight and the second fusion weight are allocated according to the ratio of the first deviation value and the second deviation value. The first voltage data and the second voltage data are weighted and averaged based on the first fusion weight and the second fusion weight to obtain the verified voltage data pair. The verified first voltage data and the verified second voltage data are stored in the verified first voltage data sequence and the verified second voltage data sequence respectively according to the chronological order of the time nodes.

4. The method for verifying the voltage of a main distribution network according to claim 1, characterized in that, After obtaining the verified voltage data sequence, the method further includes: Substitute the verified first voltage data sequence back into the voltage drop physical mapping relationship to obtain the updated main grid inferred voltage sequence, and then substitute the verified second voltage data sequence back into the voltage drop physical mapping relationship to obtain the updated distribution network inverted voltage sequence. The first update deviation sequence is calculated based on the updated main network inferred voltage sequence and the verified second voltage data sequence, and the second update deviation sequence is calculated based on the updated distribution network inverted voltage sequence and the verified first voltage data sequence. When the absolute value of the deviation at all time points in the first update deviation sequence and the second update deviation sequence is less than the preset convergence threshold, the verified voltage data sequence is output as the final verification result. Otherwise, the bidirectional deviation state matrix is ​​reconstructed based on the first updated deviation sequence and the second updated deviation sequence, and the deviation type determination and collaborative verification are performed iteratively.

5. A main distribution network voltage verification system, characterized in that, include: The acquisition module is configured to acquire the first voltage data sequence of the main grid side at different time nodes, and the second voltage data sequence of the distribution network side at the same time node; The module is configured to establish a physical mapping relationship for voltage drop based on the topological connection relationship and line impedance parameters between the main grid side and the distribution grid side, and to map the first voltage data sequence to the distribution grid side based on the physical mapping relationship to obtain the main grid inferred voltage sequence. Simultaneously, it inverts and maps the second voltage data sequence to the main grid side to obtain the distribution grid inverted voltage sequence. Specifically, establishing the physical mapping relationship for voltage drop includes: Obtain the feeder topology between the main grid side and the distribution network side, and extract the resistance and reactance parameters of each line segment in the feeder topology. Based on the resistance parameters and the reactance parameters, a forward voltage drop mapping function and a reverse voltage inversion mapping function are established. The forward voltage drop mapping function is used to characterize the forward physical correlation between the main grid voltage and the distribution grid voltage, and the reverse voltage inversion mapping function is used to characterize the reverse physical correlation between the distribution grid voltage and the main grid voltage. The expression for the forward voltage drop mapping function is: ， In the formula, Infer voltage from the main grid This is the first voltage data. This is active power data. This is reactive power data. This refers to the total resistance parameter of the line. This refers to the total reactance parameter of the line; The expression for the reverse voltage inversion mapping function is: ， In the formula, For distribution network inversion voltage, This is the second voltage data; The forward voltage drop mapping function and the reverse voltage inversion mapping function are used together as the physical mapping relationship of the voltage drop; The comparison module is configured to perform point-by-point comparison between the main grid inferred voltage sequence and the second voltage data sequence to obtain a first deviation sequence, and to perform point-by-point comparison between the distribution network inverted voltage sequence and the first voltage data sequence to obtain a second deviation sequence; The determination module is configured to construct a bidirectional deviation state matrix based on the deviation sign and deviation magnitude of the first deviation sequence and the second deviation sequence at the same time node, and determine the deviation type of the node to be checked based on the bidirectional deviation state matrix, wherein the deviation type includes main grid side deviation type, distribution network side deviation type and bidirectional coordinated deviation type. The verification module is configured to generate a collaborative verification strategy corresponding to the node to be verified based on the deviation type, and to verify the first voltage data or the second voltage data at the node to be verified based on the collaborative verification strategy to obtain a verified voltage data sequence. The collaborative verification strategy includes: When the deviation type is the main network side deviation type, a first collaborative verification strategy is generated. The first collaborative verification strategy is: based on the second voltage data, obtain the first difference between the second voltage data at the node to be verified and the main network inferred voltage at the corresponding time node in the main network inferred voltage sequence, and use the first difference as the first correction amount to correct the first voltage data at the node to be verified. When the deviation type is distribution network side deviation type, a second collaborative verification strategy is generated. The second collaborative verification strategy is: based on the first voltage data, obtain the second difference between the first voltage data at the node to be verified and the distribution network inversion voltage at the corresponding time node in the distribution network inversion voltage sequence, and use the second difference as the second correction amount to correct the second voltage data at the node to be verified. When the deviation type is a two-sided collaborative deviation type, a third collaborative verification strategy is generated. The third collaborative verification strategy is as follows: obtain at least two historical verification nodes that are adjacent to the node to be verified and whose deviation type is either the main grid side deviation type or the distribution network side deviation type; fit a voltage correlation function based on the voltage data of the at least two historical verification nodes; generate a virtual reference voltage for the current time node through the voltage correlation function; and simultaneously perform fusion verification on the first voltage data and the second voltage data at the node to be verified based on the virtual reference voltage.

6. An electronic device, characterized in that, include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method described in any one of claims 1 to 4.

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