Power grid dispatching method, device and equipment and storage medium

Abstract

The invention discloses a power grid dispatching method, device and equipment and a storage medium, and relates to the technical field of power dispatching. By utilizing the method, the fault point is set in the dispatching automation simulation system, the action states of all switches and circuit breakers in the transformer substation where the fault point is located and among the transformer substations are obtained, all switches in the transformer substations, among the transformer substations and among the connected transformer substations are traversed, and the influence condition on the fault point when each switch acts is obtained. Then, a weighting method is adopted to set weights for switch action scoring judgment basis, in-station and between-station switch actions of a fault point are permutated and combined, N pre-selection schemes are formed, the scheme with the large score peak-valley difference is filtered out, the scheme with the minimum mean square error in the pre-selection schemes after filtering out is calculated, and therefore the current optimal power grid dispatching scheme is screened out; and convenience, rapidness, time saving and labor saving are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power dispatching, and in particular to a power grid dispatching method, device, equipment and storage medium. Background Art

[0002] Grid dispatching is an integrated grid dispatching mode that organizes the entire grid system. When grid equipment has defects or abnormalities due to external environmental factors, it is necessary to make grid dispatching operations in a timely and accurate manner according to the location of the accident.

[0003] In the prior art, when a sudden failure occurs in power equipment, people usually manually come up with a dispatch plan, which is time-consuming, labor-intensive, and inefficient. Summary of the invention

[0004] The main purpose of the present invention is to provide a power grid dispatching method, device, equipment and storage medium, aiming to solve the technical problem in the prior art that when power equipment suddenly fails, people usually manually come up with a dispatching plan, which is time-consuming, labor-intensive and inefficient to deal with.

[0005] To achieve the above object, the present invention proposes a power grid dispatching method for computer equipment; the method comprises the following steps:

[0006] S101, establishing a power database based on electrical parameters, and importing the power database into a dispatch simulation system; the electrical parameters include substation information, line load information, switch information, and circuit breaker information;

[0007] S102, setting a plurality of fault points in the dispatch simulation system, and obtaining the operating status of all switches and circuit breakers in and between substations where the fault points are located;

[0008] S103, traversing all switches in the substation, between substations and connected stations, and obtaining the impact of each switch action on the fault point;

[0009] S104, scoring the action state of each switch using a weighting method, and selecting the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions;

[0010] S105, repeat step S103 and step S104 (N-1) times until the fault of the scheduling simulation system disappears; each time select the two switching actions with the highest scores as the Nth switching actions of the two pre-selected solutions; use N switching actions in total to obtain 2 N the pre-selected options;

[0011] S106, based on the score of each switch action, calculating the score peaks and valleys of all the decision solutions, filtering out the pre-selected solutions whose score peak-to-valley differences are greater than a threshold, and obtaining a rough screening solution group;

[0012] S107, calculating the mean square error of each of the pre-selected solutions in the rough screening solution group, screening the pre-selected solution with the smallest mean square error value, and obtaining a target solution.

[0013] Optionally, step S101 includes:

[0014] S1011. Obtain information on power equipment and equipment interconnection in the first-level, second-level and third-level substations, including important digital quantities and analog quantities of primary equipment and secondary equipment in the first-level, second-level and third-level substations;

[0015] S1012. Establish the power database based on the digital quantity and the analog quantity, and then import the power database into the scheduling simulation system.

[0016] Optionally, in step S103, the impact conditions include the power outage rate of important users, the power outage rate of ordinary users, the main transformer load rate and the line load rate, and a switch action impact matrix is ​​formed based on the impact conditions.

[0017] Optionally, the switch action affects the matrix A x The following relationship is satisfied:

[0018]

[0019] Among them, A y represents the switch action influence matrix formed by traversing all switches in the substation, between substations and connected stations for the yth time; It represents the power outage rate of important users after the first switch action in the substation where the fault point is located in the yth traversal; It represents the power outage rate of ordinary users after the second switch action in the substation where the fault point is located for the yth time; It represents the load rate of the main transformer after the fourth switch in the substation where the fault point is located is operated for the yth time; It indicates the line load rate after the nth switch in the substation where the fault point is located is actuated during the yth traversal.

[0020] Optionally, the step of scoring the action state of each switch by using a weighting method includes:

[0021] S1041, performing standardization processing on each element of the switch action influence matrix:

[0022]

[0023] S1042. Extract all parameters x from step S1041 ij , calculate the mean value e of the jth index j ;

[0024]

[0025] Wherein, i=1, 2, ...m; j=1, 2;

[0026] S1043. Calculate the mean square error s of the j-th indicator j ;

[0027]

[0028] S1044. Calculate the coefficient of difference g of the jth indicator j ;

[0029]

[0030] S1045. Calculate the weight value W of the j-th indicator j ;

[0031]

[0032] S1046, calculating the comprehensive scores of the n pre-selected solutions, and extracting the data corresponding to the highest comprehensive score of the pre-selected solutions;

[0033]

[0034] Among them, i=1, 2, ...m.

[0035] Optionally, in step S106, the fractional peak-to-valley τ is calculated f (f = 1, 2, ..., 2 N ) satisfies the following relationship:

[0036]

[0037] in, represents the highest score of the steps in the f-th solution; represents the minimum score of the steps in the f-th solution.

[0038] Optionally, the mean square error ε of the preselected solution k (k=1, 2, ..., n) satisfies the following relationship:

[0039]

[0040] Among them, θ krepresents the score of the i-th step in the k-th solution; μ represents the arithmetic mean of the scores of all steps in the k-th solution.

[0041] In addition, to achieve the above-mentioned purpose, the present invention also proposes a power grid dispatching device, comprising:

[0042] An import module is used to establish a power database based on electrical parameters and import the power database into the dispatch simulation system; the electrical parameters include substation information, line load information, switch information and circuit breaker information;

[0043] A first acquisition module is used to set multiple fault points in the dispatch simulation system and obtain the action status of all switches and circuit breakers in and between substations where the fault points are located;

[0044] The second acquisition module is used to traverse all switches in the substation, between substations and connected stations to obtain the impact of each switch action on the fault point;

[0045] A scoring module is used to score the action state of each switch by using a weighting method, and select the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions;

[0046] The third acquisition module is used to repeat step S103 and step S104 (N-1) times until the fault of the scheduling simulation system disappears; each time, the two switching actions with the highest scores are selected as the Nth switching actions of the two pre-selected solutions; a total of N switching actions are used to obtain 2 N the pre-selected options;

[0047] A fourth acquisition module is used to calculate the score peaks and valleys of all the decision plans based on the score of each switch action, filter out the pre-selected plans whose score peak-valley differences are greater than a threshold, and obtain a rough screening plan group;

[0048] The fifth acquisition module is used to calculate the mean square error of each of the pre-selected solutions in the rough screening solution group, screen the pre-selected solution with the smallest mean square error value, and obtain the target solution.

[0049] In addition, to achieve the above-mentioned purpose, the present invention also proposes a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the power grid dispatching method.

[0050] In addition, to achieve the above-mentioned purpose, the present invention also proposes a computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and a processor executes the computer program to implement the steps of the power grid dispatching method.

[0051] In the existing methods, when a power equipment fails, the technicians need to come up with a dispatching plan, which is time-consuming and labor-intensive, and inefficient. However, using the method of the present invention, a fault point is set in the dispatching automation simulation system, the action status of all switches and circuit breakers in and between the substations where the fault point is located is obtained, all switches in the substation, between substations and connected stations are traversed, and the impact of each switch action on the fault point is obtained. Then, a weighting method is used to set the weights for the switch action scoring and judgment basis, and the switch actions in the fault point station and between two stations are arranged and combined to form 2 N The method can filter out the schemes with large peak-to-valley difference in scores, and calculate the scheme with the smallest mean square error among the pre-selected schemes after filtering, so as to screen out the current optimal power grid dispatching scheme, which is convenient, fast, time-saving and labor-saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0053] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention;

[0054] Figure 2 It is a schematic diagram of the flow of the method for arranging measurement points of a narrow and long patch according to an embodiment of the present invention;

[0055] Figure 3 Schematic diagram of the structure of a narrow and long noodle piece according to an embodiment of the present invention.

[0056] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0059] like Figure 1As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0060] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0061] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an electronic program.

[0062] exist Figure 1 In the electronic device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the electronic device of the present invention can be set in the electronic device, and the electronic device calls the power grid dispatching device stored in the memory 1005 through the processor 1001, and executes the power grid dispatching method provided in the embodiment of the present application.

[0063] Reference Figure 2 , an embodiment of the present application provides a power grid scheduling method for a computer device; the method comprises:

[0064] S101. Based on electrical parameters, establish a power database, and import the power database into a dispatch simulation system; the electrical parameters include substation information, line load information, switch information, and circuit breaker information.

[0065] Step S101 includes:

[0066] S1011. Obtain the power equipment and equipment interconnection information within the first-level, second-level and third-level substations, including important digital and analog quantities of primary and secondary equipment within the first-level, second-level and third-level substations.

[0067] The first-level substation may be a 110KV substation, the second-level substation may be a 35KV substation, and the third-level substation may be a 10KV substation.

[0068] The digital quantities of primary equipment may include the actual values ​​of 110KV, 35KV, and 10KV bus three-phase voltage and line voltage, 110KV, 35KV, and 10KV main transformer capacity, rated current, actual current and load rate, transformer N-1 load rate, line rated current, actual current and load rate, and line N-1 load rate; substation three-phase voltage and line voltage values, substation capacity, rated current, actual current and load rate.

[0069] The analog quantity of primary equipment may include the start and stop status, operation status, contact switch, circuit breaker, disconnector and fuse switch status of the generator in the station.

[0070] The digital quantities of the secondary equipment may include 10KV DC current measurement value and DC voltage measurement value.

[0071] The analog quantities of secondary equipment may include relay protection mode, relay protection status, and communication status of each power equipment.

[0072] S1012. Based on digital and analog quantities, a power database is established. The first-level, second-level and third-level substations can interconnect the power database; and then the power database is imported into the dispatching simulation system.

[0073] S102. Set multiple fault points in the dispatch simulation system, and obtain the operating status of all switches and circuit breakers in and between substations where the fault points are located.

[0074] S103, traverse all switches in the substation, between substations and connected stations, and obtain the impact of each switch action on the fault point;

[0075] The impact situation can include the power outage rate of important users α g , power outage rate for ordinary users β g , main transformer load factor γ g and line load factor π g , based on the impact situation, a switch action impact matrix is ​​formed. Among them, the power outage rate of important users ( represents the number of important users served by the line corresponding to the g-th switch; W represents the number of important users involved in the substation in the entire region); the power outage rate of ordinary users (Qg represents the number of ordinary users carried by the line corresponding to the g-th switch; E represents the number of ordinary users involved in the substation in the entire region); main transformer load rate (D gis Indicates the actual current carrying value of the ith main transformer involved in the gth switch action; D gie Indicates the rated current value of the ith main transformer involved in the gth switch action); Line load rate (π gis Indicates the actual current value of the i-th line involved in the g-th switching action; π gie Indicates the rated current carrying value of the i-th line involved in the g-th switch action). If the switch action causes an accident trip (system prompt), this switch cannot be used as a step in the solution.

[0076] Switch action impact matrix A x The following relationship is satisfied:

[0077]

[0078] Among them, A y represents the switch action influence matrix formed by traversing all switches in the substation, between substations and connected stations for the yth time; It represents the power outage rate of important users after the first switch action in the substation where the fault point is located in the yth traversal; It represents the power outage rate of ordinary users after the second switch action in the substation where the fault point is located for the yth time; It represents the load rate of the main transformer after the fourth switch in the substation where the fault point is located is operated for the yth time; It indicates the line load rate after the nth switch in the substation where the fault point is located is actuated during the yth traversal.

[0079] For example, the switch action influence matrix formed by the first traversal of all switches in the substation, between substations and connected stations is:

[0080]

[0081] S104, using a weighting method to score the action state of each switch, and selecting the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions.

[0082] The steps of scoring the action state of each switch using the weighting method include:

[0083] S1041. Standardize each element of the switch action influence matrix:

[0084]

[0085] S1042. Extract all parameters x from step S1041 ij , calculate the mean value e of the jth index j ;

[0086]

[0087] Wherein, i=1, 2, ...m; j=1, 2;

[0088] S1043. Calculate the mean square error s of the j-th indicator j ;

[0089]

[0090] S1044. Calculate the coefficient of difference g of the jth indicator j ;

[0091]

[0092] S1045. Calculate the weight value W of the j-th indicator j ;

[0093]

[0094] S1046, calculating the comprehensive scores of the n pre-selected solutions, and extracting the data corresponding to the highest comprehensive score among the pre-selected solutions;

[0095]

[0096] Among them, i=1, 2, ...m.

[0097] S105, repeat step S103 and step S104 (N-1) times until the fault of the scheduling simulation system disappears; each time, select the two switching actions with the highest scores as the Nth switching actions of the two pre-selected solutions; use N switching actions in total to obtain 2 N Pre-selected options.

[0098] S106. Based on the score of each switch action, calculate the score peaks and valleys of all decision plans, filter out pre-selected plans whose score peak-valley differences are greater than a threshold, and obtain a coarse screening plan group.

[0099] Calculate the fractional peak-valley τ f (f = 1, 2, ..., 2 N ) satisfies the following relationship:

[0100]

[0101] in, represents the highest score of the steps in the f-th solution; represents the minimum score of the steps in the f-th solution.

[0102] The pre-selected solution for filtering out the score peak-to-valley difference greater than a threshold may be a solution for eliminating the score peak-to-valley difference rate greater than 40%.

[0103] S107, calculating the mean square error of each pre-selected solution in the rough screening solution group, screening the pre-selected solution with the smallest mean square error value, and obtaining the target solution.

[0104] The mean square error of the pre-selected solution ε k (k=1, 2, ..., n) satisfies the following relationship:

[0105]

[0106] Among them, θ k represents the score of the i-th step in the k-th solution; μ represents the arithmetic mean of the scores of all steps in the k-th solution.

[0107] Based on the same inventive concept as the above embodiment, Figure 3 The embodiment of the present invention further provides a power grid dispatching device, which is used for computer equipment and includes:

[0108] The import module is used to establish a power database based on electrical parameters and import the power database into the dispatch simulation system; the electrical parameters include substation information, line load information, switch information and circuit breaker information;

[0109] The first acquisition module is used to set multiple fault points in the dispatch simulation system and obtain the action status of all switches and circuit breakers in and between substations where the fault points are located;

[0110] The second acquisition module is used to traverse all switches in the substation, between substations and connected stations to obtain the impact of each switch action on the fault point;

[0111] A scoring module is used to score the action state of each switch by using a weighting method, and select the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions;

[0112] The third acquisition module is used to repeat step S103 and step S104 (N-1) times until the fault of the scheduling simulation system disappears; each time, the two switching actions with the highest scores are selected as the Nth switching actions of the two pre-selected solutions; a total of N switching actions are used to obtain 2 N Pre-selected options;

[0113] The fourth acquisition module is used to calculate the score peaks and valleys of all decision plans based on the score of each switch action, filter out the pre-selected plans whose score peak-valley differences are greater than a threshold, and obtain a rough screening plan group;

[0114] The fifth acquisition module is used to calculate the mean square error of each pre-selected solution in the rough screening solution group, screen the pre-selected solution with the smallest mean square error value, and obtain the target solution.

[0115] It should be noted that, since the steps executed by the device of this embodiment are the same as the steps of the aforementioned method embodiment, its specific implementation method and the technical effects that can be achieved can refer to the aforementioned embodiment and will not be repeated here.

[0116] In addition, in one embodiment, the present application also provides a computer storage medium, on which a computer program is stored, and a processor executes the computer program to implement the steps of the power grid dispatching method.

[0117] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or various devices including one or any combination of the above memories. The computer may be various computing devices including intelligent terminals and servers.

[0118] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0119] As an example, executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0120] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.

[0121] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0122] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0123] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a multimedia terminal device (which can be a mobile phone, a computer, a television receiver, or a network device, etc.) to execute the methods of each embodiment of the present application.

[0124] The above are only optional embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A power grid dispatching method, characterized in that: For use in a computer device; the method comprises the following steps: S101, establishing a power database based on electrical parameters, and importing the power database into a dispatching simulation system; the electrical parameters include substation information, line load information, switch information, and circuit breaker information; S102, setting a plurality of fault points in the dispatch simulation system, and obtaining the operating status of all switches and circuit breakers in and between substations where the fault points are located; S103, traversing all switches in the substation, between substations and connected stations, and obtaining the impact of each switch action on the fault point; S104, scoring the action state of each switch using a weighting method, and selecting the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions; S105, repeating step S103 and step S104 N-1 times until the fault of the scheduling simulation system disappears; each time selecting the two switching actions with the highest scores as the Nth switching actions of the two pre-selected solutions; using a total of N switching actions to obtain 2 N the pre-selected options; S106, based on the score of each switch action, calculating the score peaks and valleys of all the pre-selected solutions, filtering out the pre-selected solutions whose score peak-to-valley differences are greater than a threshold, and obtaining a rough screening solution group; S107, calculating the mean square error of each of the pre-selected solutions in the rough screening solution group, screening the pre-selected solution with the smallest mean square error value, and obtaining a target solution.

2. The power grid dispatching method according to claim 1, characterized in that: Step S101 includes: S1011. Obtain information on power equipment and equipment interconnection in the first-level, second-level and third-level substations, including important digital quantities and analog quantities of primary equipment and secondary equipment in the first-level, second-level and third-level substations; S1012. Establish the power database based on the digital quantity and the analog quantity, and then import the power database into the scheduling simulation system.

3. The power grid dispatching method according to claim 1, characterized in that: In step S103, the impact conditions include the power outage rate of important users, the power outage rate of ordinary users, the main transformer load rate and the line load rate, and a switch action impact matrix is ​​formed based on the impact conditions.

4. The power grid dispatching method according to claim 3, characterized in that: The switching action affects the matrix A y The following relationship is satisfied: Among them, A y represents the switch action influence matrix formed by traversing all switches in the substation, between substations and connected stations for the yth time; It represents the power outage rate of important users after the first switch action in the substation where the fault point is located in the yth traversal; It represents the power outage rate of ordinary users after the second switch action in the substation where the fault point is located for the yth time; It represents the load rate of the main transformer after the fourth switch in the substation where the fault point is located is operated for the yth time; It indicates the line load rate after the nth switch in the substation where the fault point is located is actuated during the yth traversal.

5. The power grid dispatching method according to claim 4, characterized in that: The step of scoring the action state of each switch by using a weighting method comprises: S1041, performing standardization processing on each element of the switch action influence matrix: S1042. Extract all parameters x from step S1041 ij , calculate the mean value e of the jth indicator j ; Wherein, i=1, 2, ...m; j=1, 2; S1043. Calculate the mean square error s of the j-th indicator j ; S1044. Calculate the coefficient of difference g of the jth indicator j ; S1045. Calculate the weight value W of the j-th indicator j ; S1046, calculating the comprehensive scores of the n pre-selected solutions, and extracting the data corresponding to the highest comprehensive score of the pre-selected solutions; Among them, i=1, 2, ...m.

6. The power grid dispatching method according to claim 1, characterized in that: In step S106, the fractional peak-to-valley τ is calculated. f , satisfying the following relationship: in, represents the highest score of the steps in the f-th solution; Denotes the minimum score of the steps in the f-th solution.

7. The power grid dispatching method according to claim 1, characterized in that: The mean square error ε of the preselected solutions k , k = 1, 2, ..., n, satisfying the following relationship: Among them, θ k represents the score of the i-th step in the k-th solution; μ represents the arithmetic mean of the scores of all steps in the k-th solution.

8. A power grid dispatching device, characterized in that: include: An import module, used for establishing a power database based on electrical parameters, and importing the power database into a dispatch simulation system; The electrical parameters include substation information, line load information, switch information and circuit breaker information; A first acquisition module is used to set multiple fault points in the dispatch simulation system and acquire the action status of all switches and circuit breakers in and between substations where the fault points are located; The second acquisition module is used to traverse all switches in the substation, between substations and connected stations to obtain the impact of each switch action on the fault point; A scoring module is used to score the action state of each switch by using a weighting method, and select the two switch actions with the highest scores as the first switch actions of the two pre-selected solutions; The third acquisition module is used to repeat step S103 and step S104 (N-1) times until the fault of the scheduling simulation system disappears; each time, the two switching actions with the highest scores are selected as the Nth switching actions of the two pre-selected solutions; a total of N switching actions are used to obtain 2 N the pre-selected options; A fourth acquisition module is used to calculate the score peaks and valleys of all the pre-selected solutions based on the score of each switch action, filter out the pre-selected solutions whose score peak-to-valley differences are greater than a threshold, and obtain a rough screening solution group; The fifth acquisition module is used to calculate the mean square error of each of the pre-selected solutions in the rough screening solution group, screen the pre-selected solution with the smallest mean square error value, and obtain the target solution.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 7.

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