Data screening and sorting method and device for power system

Abstract

The embodiment of the specification provides a data screening and sorting method and device of a power system, wherein the data screening and sorting method of the power system comprises the following steps: determining an initial power system, determining an observation bus based on the initial power system; wherein the initial power system comprises at least two buses; determining an initial power parameter based on the observation bus, determining a target power system based on the initial power parameter; simulating the target power system based on the reactive power parameter, determining a power simulation result; sorting and screening data of the at least two buses based on the power simulation result, and determining a sorting result and a screening result. By determining how close the load at the nodes of the buses is to the limit of the system that can be powered before voltage collapse occurs, the fault screening problem is solved, and the sorting accuracy is improved.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of power technology, and in particular to data filtering and sorting methods for power systems. Background Technology

[0002] During the design process, power and transmission systems may have been overly "idealistic" in terms of system capacity. However, these systems now face more problems and pressures than before. These problems arise from various causes, such as the expansion of electricity usage areas and the adverse environmental impacts of transmission line expansion. Because the system operates at high voltage for extended periods, voltage may decrease slowly with increasing load or rapidly due to sudden line or generator tripping. In either case, if the system's low voltage reaches its limit, protection devices will activate, potentially leading to load shedding at certain points in the system (partial load shedding) or a complete power outage.

[0003] Therefore, a better solution is urgently needed. Summary of the Invention

[0004] In view of this, embodiments of this specification provide a method for data filtering and sorting in power systems. One or more embodiments of this specification also relate to a data filtering and sorting apparatus for power systems, a computing device, a computer-readable storage medium, and a computer program, to address the technical deficiencies existing in the prior art.

[0005] According to a first aspect of the embodiments of this specification, a data filtering and sorting method for a power system is provided, comprising:

[0006] Determine the initial power system, and determine the observation buses based on the initial power system; wherein the initial power system includes at least two buses;

[0007] Initial power parameters are determined based on the observed bus, and the target power system is determined based on the initial power parameters.

[0008] The target power system is simulated based on reactive power parameters to determine the power simulation results.

[0009] Based on the power simulation results, at least two buses are sorted and their data is filtered to determine the sorting and filtering results.

[0010] In one possible implementation, the observation bus is determined based on the initial power system, including:

[0011] Add bus components to the initial power system and determine the observation bus based on the bus components.

[0012] In one possible implementation, initial power parameters are determined based on the observed bus, including:

[0013] Determine the Jacobian matrix;

[0014] Determine the target reactive power parameters and the target actual power parameters;

[0015] The initial power parameters are determined by making the Jacobian matrix singular based on the target reactive power parameters and the target actual power parameters.

[0016] In one possible implementation, the target power system is simulated based on reactive power parameters to determine the power simulation results, including:

[0017] The target reactive power parameters are adjusted to determine the appropriate reactive power parameters.

[0018] The target power system is simulated by adjusting the reactive power parameters, and the power simulation results are determined.

[0019] In one possible implementation, adjusting the target reactive power parameter involves determining the adjusted reactive power parameter, including:

[0020] Determine the iteration step, and adjust the target reactive power parameters based on the iteration step to determine the adjusted reactive power parameters;

[0021] Substitute the adjusted reactive power parameters into the Jacobian matrix to determine the adjusted Jacobian matrix;

[0022] The matrix determinant is determined based on the adjusted Jacobian matrix;

[0023] The result of the determinant change is determined based on the matrix determinant, and the reactive power parameter is adjusted based on the result of the determinant change and the set accuracy.

[0024] In one possible implementation, at least two buses are sorted based on power simulation results, and the sorting result is determined, including:

[0025] If the power simulation result indicates that any busbar has collapsed, determine the simulation data before the collapse.

[0026] At least two buses are sorted based on simulation data to determine the sorting result.

[0027] In one possible implementation, data screening is performed on at least two buses based on power simulation results to determine the screening results, including:

[0028] If the power simulation result indicates that any busbar has collapsed, determine the simulation data before the collapse.

[0029] Data screening is performed based on simulation data to determine the screening results.

[0030] According to a second aspect of the embodiments of this specification, a data filtering and sorting apparatus for a power system is provided, comprising:

[0031] The bus determination module is configured to determine the initial power system and, based on the initial power system, determine the observation buses; wherein the initial power system includes at least two buses;

[0032] The parameter determination module is configured to determine the initial power parameters based on the observed bus and to determine the target power system based on the initial power parameters.

[0033] The power simulation module is configured to simulate the target power system based on reactive power parameters and determine the power simulation results.

[0034] The data determination module is configured to sort and filter data for at least two buses based on power simulation results, and determine the sorting and filtering results.

[0035] According to a third aspect of the embodiments of this specification, a computing device is provided, comprising:

[0036] Memory and processor;

[0037] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the data filtering and sorting method of the power system described above.

[0038] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided that stores computer-executable instructions, which, when executed by a processor, implement the steps of the data filtering and sorting method for the power system described above.

[0039] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, it causes the computer to perform the steps of the data filtering and sorting method of the power system described above.

[0040] This specification provides a method and apparatus for data filtering and sorting in power systems. The method includes: determining an initial power system; determining observation buses based on the initial power system; wherein the initial power system includes at least two buses; determining initial power parameters based on the observation buses; determining a target power system based on the initial power parameters; simulating the target power system based on reactive power parameters; and determining the power simulation results; sorting and filtering the data on the at least two buses based on the power simulation results; and determining the sorting and filtering results. By considering how close the load at the nodes of these buses is to the limit that the system can supply power before voltage collapse occurs, the fault screening problem is solved, and the sorting accuracy is improved. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating a data filtering and sorting method for a power system according to one embodiment of this specification;

[0042] Figure 2 This is a schematic diagram of the structure of a data filtering and sorting device for a power system provided in one embodiment of this specification;

[0043] Figure 3 This is a structural block diagram of a computing device provided in one embodiment of this specification. Detailed Implementation

[0044] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0045] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0046] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0047] This specification provides a method for filtering and sorting data in a power system. It also relates to a data filtering and sorting apparatus for a power system, a computing device, and a computer-readable storage medium, which are described in detail in the following embodiments.

[0048] See Figure 1 , Figure 1 A flowchart is shown of a data filtering and sorting method for a power system according to an embodiment of this specification, which specifically includes the following steps.

[0049] Step 101: Determine the initial power system and determine the observation bus based on the initial power system; wherein, the initial power system includes at least two buses.

[0050] In one possible implementation, determining the observation bus based on the initial power system includes: adding a bus component to the initial power system and determining the observation bus based on the bus component.

[0051] In practical applications, the initial power system can be an IEEE 14-bus system or an IEEE 30-bus system. An observation bus is added to these systems for data observation; this is called the observation bus.

[0052] Since voltage collapse is significantly affected by reactive power consumption, the value of Qs, the system's reactive power critical value, must first be determined. These limiting values ​​are observed by successively increasing the reactive power load (Qd) of one bus until the system fails to converge using the Newton-Raphson (NR) iterative method. The value of Qd is the actual value that determines the limits, and it can be compared with the obtained Qs value using this method. Similar simulation experiments can be performed on actual power loads. Finally, the apparent power of one bus is gradually increased until the power flow fails to converge. This determines the limits under constant power factor load before power flow failure.

[0053] The determinant of the Jacobian matrix shows that the voltage collapse point is zero. The elements of the Jacobian matrix are the nodal voltage magnitudes, nodal voltage angles, and system parameters. However, it can be seen that the diagonal elements of these four sub-Jacobi matrices can be obtained from the calculated nodal active and reactive power.

[0054]

[0055] Where P, Q, and V represent active power, reactive power, and voltage, respectively; i represents the initial state; and ii represents the state after one calculation. ii Admittance after one iteration; This represents the voltage phase angle after one iteration.

[0056] Step 102: Determine the initial power parameters based on the observed bus, and determine the target power system based on the initial power parameters.

[0057] In one possible implementation, the initial power parameters are determined based on the observed bus, including: determining the Jacobian matrix; determining the target reactive power parameters and the target actual power parameters; and singularizing the Jacobian matrix based on the target reactive power parameters and the target actual power parameters to determine the initial power parameters.

[0058] In practical applications, if we assume that the actual power and reactive power of the load change with a constant power factor, then to find how much the load (P and Q) on the load bus can increase before voltage collapse occurs, we first need to find the values ​​of P and Q on the bus that make the Jacobian matrix singular, thus finding the maximum load.

[0059] First, substituting equation (2) into equation (3), equation (3) can be obtained as follows:

[0060] det(A) = A ii ‧det(B ii )-A i,i+k ‧det(B i,i+k )+X(5)

[0061] Where X is the remainder after each iteration. , .

[0062] Set det(A) to zero, see formula (8), equation (2) is expressed as A ii+k_s Equation (1) is expressed as A i,i_s Equation (3) is expressed as B i,i+k Equations (6) and (7) are obtained using the assumption of a constant power factor. Aii_s, Ai,i+k_s, Pi (active power) and Qi (reactive power) can all be obtained from the following equations:

[0063]

[0064] Equations (5), (6), (7), and (8) have four unknowns: Aii_s, Ai,i+k_s, Pi, and Qi. Substituting the obtained Pi and Qi into equations (3) and (4) yields new equations, and this process is repeated. Ultimately, the limiting values ​​of Pi and Qi, i.e., the initial electrical parameters, can be determined.

[0065] Step 103: Simulate the target power system based on reactive power parameters and determine the power simulation results.

[0066] In one possible implementation, the target power system is simulated based on reactive power parameters to determine the power simulation results, including: adjusting the target reactive power parameters to determine the adjusted reactive power parameters; and simulating the target power system based on the adjusted reactive power parameters to determine the power simulation results.

[0067] Specifically, adjusting the target reactive power parameters to determine the adjusted reactive power parameters includes: determining the iteration step; adjusting the target reactive power parameters based on the iteration step to determine the adjusted reactive power parameters; substituting the adjusted reactive power parameters into the Jacobian matrix to determine the adjusted Jacobian matrix; determining the matrix determinant based on the adjusted Jacobian matrix; determining the determinant change result based on the matrix determinant; and determining the adjusted reactive power parameters based on the determinant change result and the set precision.

[0068] In practical applications, using power flow calculations and the Pi and Qi obtained above, a more accurate result can be obtained through an iterative process. and (The Jacobian matrix includes two diagonal terms of Qi) to make the determinant of the Jacobian matrix closer to zero. A determinant closer to zero makes the limits of Pi and Qi more accurate.

[0069] Furthermore, the obtained new Qs (the final Qi) is substituted into equation (1) to calculate the new... Next, calculate the determinant of the Newton-Raphson matrix based on Qs. Compare the changes in the determinant values; if the change is less than the specified precision, the program stops. If the change in the new determinant value is greater than the precision, the calculation is repeated, and this loop continues. The precision is the threshold of the dead zone.

[0070] Table 1

[0071]

[0072] See Table 1, the values ​​of det(A) are arranged according to 10. 7 The pattern is a change from positive to negative. This means that the determinant of the Jacobian matrix is ​​very sensitive in this region, even if the elements determining the determinant change very little. Therefore, the precision of this iterative process is set to 10. 7 Another criterion for stopping the iteration process is when the sign of the Newton-Ra matrix changes.

[0073] Table 2

[0074]

[0075] Refer to Table 2, using multiples of 3 to simulate the system under high summer load. The original load is multiplied by 3 to simulate heavy load conditions. The Newton-Raphson (NR) iterative method is used to solve the IEEE 14-bus system, utilizing the Matlab function `maximum power mismatch = 2.66772 e`. -5 The number of iterations is 4.

[0076] If the entire system cannot be recovered when the number of iterations is 4, then the data from the number of iterations is taken when the number of iterations is 3, and used for subsequent sorting and filtering.

[0077] Step 104: Based on the power simulation results, sort and filter at least two buses to determine the sorting and filtering results.

[0078] In one possible implementation, at least two buses are sorted based on power simulation results to determine the sorting result, including: if the power simulation result indicates that any bus has collapsed, determining the simulation data before the collapse; and sorting at least two buses based on the simulation data to determine the sorting result.

[0079] In practical applications, voltage collapse occurs when P and Q reach their limits. However, it's necessary to determine whether these limits are overly conservative by comparing them with actual limits. Actual limits refer to the boundary between convergent and non-convergent states of the system. To obtain these actual limits, multiple power flow calculations must be performed. For example, under certain load conditions, what is the maximum Q load the system can withstand on bus 2? The Q load on bus 2 can be gradually increased until the power flow cannot converge. This Q load value is the limit obtained using theoretical methods. See Table 3 for a comparison of actual and obtained limits.

[0080] Table 3

[0081]

[0082] It should be noted that since bus 1 is the reference bus (also known as the balance bus or benchmark bus), it is usually used as a reference point for voltage, and its voltage amplitude and phase are fixed. Buses 9-14 are load buses, which connect to loads and are mainly used to consume power. Bus 9 represents 12-14, and bus 10 represents 11. The results are only referenced to bus 9 and bus 10.

[0083] Furthermore, see Table 4, where index A is obtained from data obtained through actual and simulation calculations.

[0084] Table 4

[0085]

[0086] The original Qd value is the specified value Qd. The actual result Qs is the value obtained from the third simulation of the above-mentioned summer high load.

[0087] Furthermore, referring to Table 5, the ranking results are obtained based on index A. These ranking results can be used to adjust buses that are unlikely to affect the system in practical applications. Here, index A represents the ranking result of this scheme, while the index represents the ranking result of the traditional scheme. The larger the values ​​of index A and the index, the less likely the corresponding bus is to affect the system.

[0088] Table 5

[0089]

[0090] In one possible implementation, data screening is performed on at least two buses based on power simulation results to determine the screening results, including: determining the simulation data before the collapse if the power simulation results indicate that any bus has collapsed; and performing data screening based on the simulation data to determine the screening results.

[0091] In practical applications, screening can be performed based on the aforementioned indicator A. For example, a screening threshold can be set, and screening can be performed based on the screening threshold and indicator A to obtain buses that are unlikely to have an impact on the system. In practice, the power parameters of these buses that are unlikely to have an impact on the system can be adjusted to achieve the goal of not affecting the entire power system.

[0092] This specification provides a method and apparatus for data filtering and sorting in power systems. The method includes: determining an initial power system; determining observation buses based on the initial power system; wherein the initial power system includes at least two buses; determining initial power parameters based on the observation buses; determining a target power system based on the initial power parameters; simulating the target power system based on reactive power parameters; and determining the power simulation results; sorting and filtering the data on the at least two buses based on the power simulation results; and determining the sorting and filtering results. By considering how close the load at the nodes of these buses is to the limit that the system can supply power before voltage collapse occurs, the fault screening problem is solved, and the sorting accuracy is improved.

[0093] Corresponding to the above method embodiments, this specification also provides embodiments of a data filtering and sorting device for power systems. Figure 2 A schematic diagram of a data filtering and sorting device for a power system according to one embodiment of this specification is shown. Figure 2 As shown, the device includes:

[0094] The bus determination module 201 is configured to determine the initial power system and determine the observation bus based on the initial power system; wherein the initial power system includes at least two buses;

[0095] The parameter determination module 202 is configured to determine the initial power parameters based on the observed bus and to determine the target power system based on the initial power parameters.

[0096] The power simulation module 203 is configured to simulate the target power system based on reactive power parameters and determine the power simulation results.

[0097] The data determination module 204 is configured to sort and filter data for at least two buses based on power simulation results, and determine the sorting and filtering results.

[0098] In one possible implementation, the observation bus is determined based on the initial power system, including:

[0099] Add bus components to the initial power system and determine the observation bus based on the bus components.

[0100] In one possible implementation, initial power parameters are determined based on the observed bus, including:

[0101] Determine the Jacobian matrix;

[0102] Determine the target reactive power parameters and the target actual power parameters;

[0103] The initial power parameters are determined by making the Jacobian matrix singular based on the target reactive power parameters and the target actual power parameters.

[0104] In one possible implementation, the target power system is simulated based on reactive power parameters to determine the power simulation results, including:

[0105] The target reactive power parameters are adjusted to determine the appropriate reactive power parameters.

[0106] The target power system is simulated by adjusting the reactive power parameters, and the power simulation results are determined.

[0107] In one possible implementation, adjusting the target reactive power parameter involves determining the adjusted reactive power parameter, including:

[0108] Determine the iteration step, and adjust the target reactive power parameters based on the iteration step to determine the adjusted reactive power parameters;

[0109] Substitute the adjusted reactive power parameters into the Jacobian matrix to determine the adjusted Jacobian matrix;

[0110] The matrix determinant is determined based on the adjusted Jacobian matrix;

[0111] The result of the determinant change is determined based on the matrix determinant, and the reactive power parameter is adjusted based on the result of the determinant change and the set accuracy.

[0112] In one possible implementation, at least two buses are sorted based on power simulation results, and the sorting result is determined, including:

[0113] If the power simulation result indicates that any busbar has collapsed, determine the simulation data before the collapse.

[0114] At least two buses are sorted based on simulation data to determine the sorting result.

[0115] In one possible implementation, data screening is performed on at least two buses based on power simulation results to determine the screening results, including:

[0116] If the power simulation result indicates that any busbar has collapsed, determine the simulation data before the collapse.

[0117] Data screening is performed based on simulation data to determine the screening results.

[0118] This specification provides a method and apparatus for data filtering and sorting in power systems. The data filtering and sorting apparatus includes: determining an initial power system; determining observation buses based on the initial power system; wherein the initial power system includes at least two buses; determining initial power parameters based on the observation buses; determining a target power system based on the initial power parameters; simulating the target power system based on reactive power parameters; and determining the power simulation results; sorting and filtering the data of the at least two buses based on the power simulation results; and determining the sorting results and the filtering results. By considering how close the load at the nodes of these buses is to the limit that the system can supply power before voltage collapse occurs, the fault screening problem is solved, and the sorting accuracy is improved.

[0119] The above is a schematic scheme of a data filtering and sorting device for a power system according to this embodiment. It should be noted that the technical solution of this data filtering and sorting device for a power system belongs to the same concept as the technical solution of the data filtering and sorting method for a power system described above. For details not described in detail in the technical solution of the data filtering and sorting device for a power system, please refer to the description of the technical solution of the data filtering and sorting method for a power system described above.

[0120] Figure 3 A structural block diagram of a computing device 300 according to one embodiment of this specification is shown. The components of the computing device 300 include, but are not limited to, a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and a database 340 is used to store data.

[0121] The computing device 300 also includes an access device 340, which enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device 340 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, or a Near Field Communication (NFC) interface.

[0122] In one embodiment of this specification, the aforementioned components of the computing device 300 and Figure 3 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 3 The block diagram of the computing device shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0123] The computing device 300 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). The computing device 300 can also be a mobile or stationary server.

[0124] The processor 320 executes computer-executable instructions, which, when executed by the processor, implement the steps of the data filtering and sorting method for the power system described above. The above is an illustrative scheme of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the data filtering and sorting method for the power system described above belong to the same concept. Details not described in detail in the technical solution of the computing device can be found in the description of the technical solution of the data filtering and sorting method for the power system described above.

[0125] An embodiment of this specification also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the data filtering and sorting method for the power system described above.

[0126] The above is an illustrative scheme of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium belongs to the same concept as the technical solution of the data filtering and sorting method for power systems described above. Details not described in detail in the technical solution of the storage medium can be found in the description of the technical solution of the data filtering and sorting method for power systems described above.

[0127] An embodiment of this specification also provides a computer program, wherein when the computer program is executed in a computer, it causes the computer to perform the steps of the data filtering and sorting method of the power system described above.

[0128] The above is an illustrative example of a computer program according to this embodiment. It should be noted that the technical solution of this computer program belongs to the same concept as the technical solution of the data filtering and sorting method for power systems described above. Details not described in detail in the computer program's technical solution can be found in the description of the technical solution of the data filtering and sorting method for power systems described above.

[0129] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0130] The computer instructions include computer program code, which may be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0131] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments in this specification are not limited to the described order of actions, because according to the embodiments in this specification, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments in this specification.

[0132] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0133] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for data filtering and sorting in a power system, characterized in that, include: An initial power system is determined, and observation buses are determined based on the initial power system; wherein the initial power system includes at least two buses; Initial power parameters are determined based on the observed bus, and the target power system is determined based on the initial power parameters. The target power system is simulated based on reactive power parameters to determine the power simulation results. Based on the power simulation results, sort and filter the data of the at least two buses to determine the sorting and filtering results. The determination of the observation bus based on the initial power system includes: A busbar component is added to the initial power system, and the observation busbar is determined based on the busbar component; The determination of initial power parameters based on the observed bus includes: Determine the Jacobian matrix; Determine the target reactive power parameters and the target actual power parameters; Based on the target reactive power parameters and the target actual power parameters, the Jacobian matrix is ​​made singular to determine the initial power parameters; The simulation of the target power system based on reactive power parameters, and the determination of the power simulation results, include: The target reactive power parameter is adjusted to determine the adjusted reactive power parameter; Based on the adjusted reactive power parameters, the target power system is simulated to determine the power simulation results. Adjusting the target reactive power parameters and determining the adjusted reactive power parameters includes: Determine the iteration step, and adjust the target reactive power parameter based on the iteration step to determine the adjusted reactive power parameter; Substitute the adjusted reactive power parameters into the Jacobian matrix to determine the adjusted Jacobian matrix; The matrix determinant is determined based on the adjusted Jacobian matrix; The determinant change result is determined based on the matrix determinant, and the reactive power parameter is adjusted based on the determinant change result and the set accuracy. The process of sorting the at least two buses based on the power simulation results and determining the sorting result includes: In the event that any of the busbars collapses as determined by the power simulation result, the simulation data prior to the collapse is determined. Based on the simulation data, sort the at least two buses and determine the sorting result; Based on the simulation data, data filtering is performed to determine the filtering results.

2. A data filtering and sorting device for a power system, characterized in that, The steps for implementing the data filtering and sorting method for the power system according to claim 1 include: A bus determination module is configured to determine an initial power system and, based on the initial power system, determine observation buses; wherein the initial power system includes at least two buses; The parameter determination module is configured to determine initial power parameters based on the observation bus and to determine the target power system based on the initial power parameters. The power simulation module is configured to simulate the target power system based on reactive power parameters and determine the power simulation results. The data determination module is configured to sort and filter the data of the at least two buses based on the power simulation results, and determine the sorting results and the filtering results.

3. A computing device, characterized in that, include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the data filtering and sorting method for the power system according to claim 1.

4. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the data filtering and sorting method for the power system of claim 1.

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