PMU amplitude anomaly detection method based on data at two ends of line and related device
Through the PMU amplitude anomaly detection method based on data from both ends of the line, and by utilizing active power, line voltage drop and active power loss indicators, the accuracy and error problems of PMU abnormal data detection in large power grid environments are solved, and efficient abnormal data identification is achieved.
Patent Information
- Application Number
- CN202510788020.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2025-09-23
AI Technical Summary
Existing PMU abnormal data detection methods have problems such as large errors, high false detection rates, and inability to distinguish between system disturbances and abnormal data in large power grid environments. Especially when multi-node PMUs are attacked, the residual flooding problem is serious.
A PMU amplitude anomaly detection method based on data from both ends of the line is adopted. By calculating the active power, line voltage drop and active power loss indicators at both ends of the line, and combining threshold comparison and table lookup method to determine whether the PMU amplitude is abnormal.
The accuracy of PMU abnormal data detection and the simplicity of operation are improved, the error and false detection rate are reduced, and the abnormal data type can be effectively identified.
Smart Images
Figure CN120687981A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power system operation control and protection, and relates to a PMU amplitude anomaly detection method based on data at both ends of a line and a related device. Background Art
[0002] With the development of large-capacity, long-distance, high-voltage power transmission, large-scale system interconnection, and highly automated power grids, my country's power system has entered the era of large power grids and large units. This has also brought about difficulties such as a large increase in the number of grid nodes, an increase in the amount of calculation, and an increase in the difficulty of safety monitoring. Among them, PMU data is the basis for correctly performing various power system calculations such as state estimation, relay protection setting calculation, fault analysis, and network loss calculation. Practice has proved that in power systems, the accuracy of PMU data directly affects the judgment of system operating status, thereby affecting the control of power systems. Therefore, it is necessary to detect abnormal PMU data. Traditionally, the main methods for monitoring abnormal data are: (1) local detection method; (2) regional (distributed) detection method; (3) system-level detection method.
[0003] Local detection methods use the distance between outliers and normal data as a metric to detect the degree of outlier measurements, and further search for outliers using algorithms such as DBSCAN and K-means clustering. However, this method only uses data from a single PMU channel and cannot distinguish between system disturbance data and outliers when the system state is unknown.
[0004] Regional monitoring methods decouple lines from the system by measuring at both ends of the line, enabling distributed detection of abnormal data based on the relationship between electrical quantities at both ends. However, this method uses offline line parameters. During system operation, actual line parameters can fluctuate and deviate from offline values due to factors such as geology, climate, and system operating conditions. This can introduce errors into this method.
[0005] Most system-level detection methods are based on power system state estimation. When the residual of the state estimation result exceeds a set threshold, the system is judged to have abnormal data. It is worth noting that residual-based detection is subject to residual contamination, which can lead to false detections. Furthermore, in the case of attacks on multi-node PMUs, residual flooding may occur.
[0006] In summary, the existing methods still have certain problems in PMU abnormal data detection methods. Therefore, it is urgent to develop a new method for PMU abnormal data detection to resist the influence of PMU abnormal data. Summary of the Invention
[0007] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a PMU amplitude anomaly detection method and related devices based on data at both ends of the line. The method and related devices can accurately calculate PMU anomaly data.
[0008] To achieve the above object, the present invention discloses a PMU amplitude anomaly detection method based on data at both ends of a line, comprising:
[0009] Get PMU data at both ends of the line;
[0010] Calculating, based on the PMU data at both ends of the line, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line;
[0011] The detection indicators calculated based on active power at both ends of the line, the detection indicators calculated based on line voltage drop at both ends of the line, and the detection indicators calculated based on active power loss at both ends of the line are compared with their corresponding thresholds respectively to obtain comparison results, and whether the PMU amplitude is abnormal is determined based on the comparison results.
[0012] The further improvement of the PMU amplitude anomaly detection method based on data from both ends of the line described in the present invention is:
[0013] Furthermore, the detection index calculated based on active power at line end m is:
[0014]
[0015] Among them, d 1m Indicates the detection index calculated based on active power at line m, U m Indicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
[0016] Furthermore, the detection index calculated based on the line voltage drop at line m is:
[0017]
[0018] in,
[0019]
[0020] Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, P m Indicates the active power at terminal m, Qm Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
[0021] Furthermore, the detection index calculated based on active power loss at line end m is:
[0022]
[0023] Among them, d 3m Indicates the detection index of the m-end based on power loss calculation, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, U m Indicates the voltage amplitude at terminal m, Y c It represents the admittance of the line to the ground, and R represents the resistance of the line.
[0024] Furthermore, it also includes:
[0025] According to the comparison result, the abnormal data type is determined by using a table lookup method.
[0026] The present invention discloses a PMU amplitude anomaly detection system based on data from both ends of a line, comprising:
[0027] Acquisition module, used to obtain PMU data at both ends of the line;
[0028] a calculation module, configured to calculate, based on the PMU data at both ends of the line, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line;
[0029] The detection module is used to compare the detection indicators calculated based on active power at both ends of the line, the detection indicators calculated based on line voltage drop at both ends of the line, and the detection indicators calculated based on active power loss at both ends of the line with their corresponding thresholds, obtain comparison results, and determine whether the PMU amplitude is abnormal based on the comparison results.
[0030] The further improvement of the PMU amplitude anomaly detection system based on data from both ends of the line according to the present invention is:
[0031] Furthermore, the detection index calculated based on active power at line end m is:
[0032]
[0033] Among them, d 1m Indicates the detection index calculated based on active power at line m, U mIndicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
[0034] Furthermore, the detection index calculated based on the line voltage drop at line m is:
[0035]
[0036] in,
[0037]
[0038] Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
[0039] The present invention discloses a computer device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, the steps of the PMU amplitude anomaly detection method based on data at both ends of a line are implemented.
[0040] The present invention discloses a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the steps of the PMU amplitude anomaly detection method based on data at both ends of a line are implemented.
[0041] The present invention has the following beneficial effects:
[0042] The PMU amplitude anomaly detection method and related device based on data from both ends of a line described in the present invention, during specific operation, diagnose whether the PMU amplitude is abnormal using multi-dimensional indicators. Specifically, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line are compared with their corresponding thresholds to obtain comparison results. Whether the PMU amplitude is abnormal is determined based on the comparison results. The operation is convenient and simple, and the accuracy is high. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:
[0044] Figure 1 It is the PI type equivalent model diagram of line parameters;
[0045] Figure 2 Flowchart of the PMU amplitude anomaly detection method based on data from both ends of the line;
[0046] Figure 3 This is the change diagram of each indicator when current and power contain abnormal data at the same time;
[0047] Figure 4 This is the distribution diagram of the measured data where the current amplitude has problems. DETAILED DESCRIPTION
[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.
[0049] In the description of the present invention, it is to be understood that the terms “include” and “comprise” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.
[0050] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.
[0051] It should be further understood that the term "and / or" as used in the present specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.
[0052] It should be understood that although the terms "first," "second," and "third" may be used to describe preset ranges in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are merely used to distinguish one preset range from another. For example, without departing from the scope of embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.
[0053] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.
[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0055] The accompanying drawings illustrate various schematic diagrams of structures according to embodiments disclosed herein. These figures are not drawn to scale; for clarity, some details are exaggerated and some details may be omitted. The shapes of the various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary and may deviate in practice due to manufacturing tolerances or technical limitations. Those skilled in the art may design regions / layers with different shapes, sizes, and relative positions as needed.
[0056] Example 1
[0057] The PMU amplitude anomaly detection method based on data at both ends of the line according to the present invention comprises the following steps:
[0058] 1) Obtain PMU data at both ends of the line and calculate the following indicators:
[0059] The detection index based on active power calculation at line end m is:
[0060]
[0061] Among them, d 1m Indicates the detection index based on active power at line m, U m Indicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
[0062] The detection index at line m end based on line voltage drop calculation is:
[0063]
[0064] in,
[0065]
[0066] Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
[0067] The detection index based on active power loss calculation at line end m is:
[0068]
[0069] Among them, d 3m Indicates the detection index of the m-end based on power loss calculation, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, U m Indicates the voltage amplitude at terminal m, Y c It represents the admittance of the line to the ground, and R represents the resistance of the line.
[0070] The above indicators are all for the PMU data of the m-end. The detection indicators of the PMU data of the n-end can be obtained by exchanging the m-end data and the n-end data.
[0071] 2) Calculate the threshold of each indicator and check whether the indicator exceeds the threshold;
[0072] Based on the error propagation principle, the index threshold is determined. Specifically, let the function y = f(x1, x2, x3, L, x n), where x1,x2,x3,L,x n is the direct measurement result, and y is the indirect measurement result obtained through calculation. Let x1, x2, x3, L, x n The limit errors are The limit error of y is σ y ,
[0073]
[0074] Specifically, in the present invention, the corresponding situations of each variable are as follows:
[0075] f is an indicator, including d 1m , d 1n , d 2m , d 3m ;x1,x2,x3,L,x n For all variables in the index, including the active power P at terminal m m , active power P at the n-terminal n , line-to-ground admittance Y c , line resistance R, line reactance X, etc.
[0076] σ y Indicates the limit error of the calculation result. In the actual production process, a certain margin is considered, generally 3σ y as the final threshold.
[0077] Calculate the indicator and the corresponding threshold, and determine whether the indicator exceeds the threshold.
[0078] 3) Check the indicator status and abnormal data type correspondence table to determine the abnormal data type;
[0079] Table 1
[0080]
[0081] "1" indicates that the indicator exceeds the threshold; "0" indicates that the indicator is within the threshold.
[0082] After consulting the table, determine the final abnormal data type.
[0083] Example 2
[0084] We take the measured data of a line in northwest China for analysis. The line length is 192.77km, and the offline values of the line parameters are R=2.659Ω, X=54.598Ω, and B=398.9S. The calculation of the indicators is shown in the attached figure. Figure 3 shown.
[0085] according to Figure 3The calculation results and Table 1 show that the current amplitude at the m-terminal of the PMU is abnormal. Further, the data is as follows Figure 4 shown.
[0086] Depend on Figure 4 It can be seen that there is a problem with the current amplitude at terminal m, which shows that the method is correct.
[0087] Example 3
[0088] The PMU amplitude anomaly detection system based on data from both ends of a line according to the present invention includes:
[0089] Acquisition module, used to obtain PMU data at both ends of the line;
[0090] a calculation module, configured to calculate, based on the PMU data at both ends of the line, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line;
[0091] The detection module is used to compare the detection indicators calculated based on active power at both ends of the line, the detection indicators calculated based on line voltage drop at both ends of the line, and the detection indicators calculated based on active power loss at both ends of the line with their corresponding thresholds, obtain comparison results, and determine whether the PMU amplitude is abnormal based on the comparison results.
[0092] In this embodiment, the detection index calculated based on active power at line m is:
[0093]
[0094] Among them, d 1m Indicates the detection index calculated based on active power at line m, U m Indicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
[0095] In this embodiment, the detection index calculated based on the line voltage drop at line m is:
[0096]
[0097] in,
[0098]
[0099] Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, Pm Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
[0100] The division of modules in the embodiments of the present application is illustrative and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the present application may be integrated into a single processor, or may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.
[0101] Example 4
[0102] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method implements the steps of a method for detecting abnormal PMU amplitude values based on data at both ends of a line. For example, the method includes: obtaining PMU data at both ends of the line; calculating detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line based on the PMU data at both ends of the line; comparing the detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line with their corresponding thresholds to obtain comparison results, and determining whether the PMU amplitude value is abnormal based on the comparison results. The memory may include a memory, such as a high-speed random access memory, or may also include a non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus. The internal bus may be an industrial standard architecture bus, a peripheral component interconnect standard bus, an extended industrial standard architecture bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the programs may include program codes, and the program codes include computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.
[0103] Example 5
[0104] A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of a method for detecting abnormal PMU amplitude values based on data at both ends of a line. The method includes, for example, obtaining PMU data at both ends of a line; calculating, based on the PMU data, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line; comparing the detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line with their corresponding thresholds, obtaining comparison results, and determining whether an abnormal PMU amplitude value is present based on the comparison results. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory and / or cache memory, etc. The non-volatile memory may include read-only memory, a hard disk, a flash memory, an optical disk, a magnetic disk, etc.
[0105] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.
[0106] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0107] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0109] Those skilled in the art will readily identify other embodiments of the present invention after considering the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.
[0110] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.
[0111] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention shall still fall within the scope of protection of the technical solution of the present invention.
Claims
1. A PMU amplitude anomaly detection method based on data from both ends of a line, characterized in that: include: Get PMU data at both ends of the line; Calculating, based on the PMU data at both ends of the line, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line; The detection indicators calculated based on active power at both ends of the line, the detection indicators calculated based on line voltage drop at both ends of the line, and the detection indicators calculated based on active power loss at both ends of the line are compared with their corresponding thresholds respectively to obtain comparison results, and whether the PMU amplitude is abnormal is determined based on the comparison results.
2. The PMU amplitude anomaly detection method based on line end data according to claim 1 is characterized in that: The detection index based on active power calculation at line end m is: Among them, d 1m Indicates the detection index calculated based on active power at line m, U m Indicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
3. The PMU amplitude anomaly detection method based on line end data according to claim 1 is characterized in that: The detection index at line m end based on line voltage drop calculation is: in, Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
4. The PMU amplitude anomaly detection method based on line end data according to claim 1, characterized in that: The detection index based on active power loss calculation at line end m is: Among them, d 3m Indicates the detection index of the m-end based on power loss calculation, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, U m Indicates the voltage amplitude at terminal m, Y c It represents the admittance of the line to the ground, and R represents the resistance of the line.
5. The PMU amplitude anomaly detection method based on line two-end data according to claim 1 is characterized in that: Also includes: According to the comparison result, the abnormal data type is determined by using a table lookup method.
6. A PMU amplitude anomaly detection system based on data from both ends of a line, characterized in that: include: Acquisition module, used to obtain PMU data at both ends of the line; a calculation module, configured to calculate, based on the PMU data at both ends of the line, detection indicators based on active power calculation at both ends of the line, detection indicators based on line voltage drop calculation at both ends of the line, and detection indicators based on active power loss calculation at both ends of the line; The detection module is used to compare the detection indicators calculated based on active power at both ends of the line, the detection indicators calculated based on line voltage drop at both ends of the line, and the detection indicators calculated based on active power loss at both ends of the line with their corresponding thresholds, obtain comparison results, and determine whether the PMU amplitude is abnormal based on the comparison results.
7. The PMU amplitude anomaly detection system based on line end data according to claim 6, characterized in that: The detection index based on active power calculation at line end m is: Among them, d 1m Indicates the detection index calculated based on active power at line m, U m Indicates the voltage amplitude at terminal m, I m represents the current amplitude at terminal m, and Represents the voltage phase angle and current phase angle at terminal m, P m Indicates the active power at terminal m.
8. The PMU amplitude anomaly detection system based on line end data according to claim 6, characterized in that: The detection index at line m end based on line voltage drop calculation is: in, Among them, d 2m Indicates the detection index calculated based on the line voltage drop at line m end, U m Represents the voltage amplitude at terminal m, P m Indicates the active power at terminal m, Q m Represents the reactive power at terminal m, Y c It represents the admittance of the line to ground, R represents the resistance of the line, X represents the reactance of the line, △U represents the longitudinal drop of the voltage at the m end, and δU represents the lateral drop of the voltage at the m end.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the PMU amplitude anomaly detection method based on data at both ends of the line as described in any one of claims 1 to 5 are implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the PMU amplitude anomaly detection method based on data at both ends of the line as described in any one of claims 1 to 5 are implemented.