Commutation failure probability information generation method and device, computer device, and storage medium

Abstract

The application relates to a commutation failure probability information generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring fault information of different electrical nodes of an alternating current power grid, node information, alternating current bus information and structure data information of each structure information of the alternating current power grid, and constructing a power grid structure model of the alternating current power grid; identifying each target fault information of the alternating current bus corresponding to the fault information of each electrical node, and generating a simulation test working condition list of the alternating current bus; identifying the fault probability of each fault information of each electrical node, and determining the fault probability of each target fault information of the alternating current bus based on the fault probability of each fault information of each electrical node; simulating the simulation test working condition list of the alternating current bus to obtain commutation record information of the alternating current bus, and generating target commutation failure probability information of the alternating current power grid based on the above information. The method can improve the accuracy of the identified commutation failure probability.

Description

Technical Field

[0001] The present application relates to the technical field of high-voltage direct current transmission, and in particular to a method, apparatus, computer equipment, and storage medium for generating commutation failure probability information. Background Art

[0002] Commutation failure is an inherent risk factor in HVDC transmission technology and one of the most common faults in HVDC projects. When a commutation failure occurs, the AC and DC voltages at the converter station drop, leading to overcurrent and a drop in transmitted DC power. This causes large power fluctuations in both the transmitting and receiving power grids, impacting grid safety. Therefore, detecting the probability of commutation failure is a current research priority.

[0003] Currently, the method for detecting the probability of commutation failure uses a voltage drop on the receiving AC grid as a predictor of commutation failure. Specifically, if the voltage of the AC grid where the inverter station is located drops, the system is considered to have a possibility of commutation failure, and this is then used to determine whether the system has failed. However, commutation failure can still occur even when the AC voltage is distorted but the effective value does not drop significantly. Therefore, simply detecting voltage drops to identify whether a system has failed has significant limitations, resulting in low accuracy in the identified commutation failure probability. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium and computer program product for generating commutation failure probability information in order to address the above technical issues.

[0005] In a first aspect, the present application provides a method for generating commutation failure probability information. The method comprises:

[0006] Acquiring fault information of different electrical nodes of an AC power grid, node information of each of the electrical nodes, AC bus information of the AC power grid, and structural data information of each structural information of the AC power grid, and constructing a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid;

[0007] Based on the node information and the AC bus information, identifying the fault information of the AC bus corresponding to the fault information of each electrical node, obtaining target fault information of the AC bus, and generating a simulation test operating condition list of the AC bus based on the target fault information of the AC bus;

[0008] Identifying a failure probability of each piece of fault information of each electrical node, and determining a failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node;

[0009] The power grid structure model is used to simulate the simulation test operating condition list of the AC bus to obtain commutation record information of the AC bus, and based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus, target commutation failure probability information of the AC power grid is generated.

[0010] Optionally, constructing the grid structure model of the AC grid based on the structural data information of each structural information of the AC grid includes:

[0011] Filtering the structural information of the AC bus and the structural information of each electrical node from the structural information, and collecting the position information between each electrical node and the AC bus;

[0012] A grid structure model of the AC power grid is constructed based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus.

[0013] Optionally, the fault information includes a fault type and a voltage drop depth, and identifying the fault information of the AC bus corresponding to the fault information of each electrical node based on the node information and the AC bus information to obtain target fault information of the AC bus includes:

[0014] For each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depth of each electrical node;

[0015] Based on the equivalent impedance, respectively calculating a first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determining each first fault type of the AC bus based on each fault type corresponding to the node information;

[0016] Based on each first voltage drop depth of the AC bus corresponding to each electrical node and each first fault type of the AC bus corresponding to each electrical node, each target fault information of the AC bus is determined.

[0017] Optionally, generating a simulation test condition list for the AC bus based on each target fault information of the AC bus includes:

[0018] For each fault type, averaging and summing the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type;

[0019] The comprehensive voltage drop depths of the AC bus corresponding to each fault type are sorted in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0020] Optionally, identifying the failure probability of each fault information of each electrical node includes:

[0021] In the historical database, the number of each fault information of each electrical node in the target historical period is queried, and the number of each fault information of each electrical node is divided by the number of operations of the AC power grid in the historical period to obtain the failure probability of each fault information of each electrical node.

[0022] Optionally, determining the failure probability of each target fault information of the AC bus based on the failure probability of each fault information of each electrical node includes:

[0023] For each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying a proportional relationship between each piece of fault information of the electrical node and each piece of target fault information of the AC bus;

[0024] Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated respectively.

[0025] Optionally, simulating the simulation test operating condition list of the AC bus by using the power grid structure model to obtain the commutation record information of the AC bus includes:

[0026] Dividing the simulation test condition list into sublists of different fault types, and then simulating grid operation information of different comprehensive voltage drop depths using the grid structure model in ascending order of the comprehensive voltage drop depths of the AC bus;

[0027] For each piece of grid operation information, identifying commutation information of a bridge arm current waveform in the grid operation information, and using the commutation information as sub-commutation record information of the grid operation information;

[0028] The sub-commutation record information of all types of comprehensive voltage drop depths is used as the commutation record information of the AC bus.

[0029] Optionally, generating target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus includes:

[0030] Using the fault probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information; the commutation result information includes commutation failure and commutation failure;

[0031] Adding the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and adding the target commutation result of each sub-commutation record information to the simulation test working condition list of the AC bus to obtain the commutation result list of the AC bus;

[0032] The number of sub-commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-commutation record information of commutation failure to obtain the sub-commutation failure probability of each sub-commutation, and the sum of all sub-commutation failure probabilities is divided by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

[0033] In a second aspect, the present application further provides a device for generating commutation failure probability information. The device comprises:

[0034] an acquisition module, configured to acquire fault information of different electrical nodes of an AC power grid, node information of each of the electrical nodes, AC bus information of the AC power grid, and structural data information of each structural information of the AC power grid, and construct a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid;

[0035] a generating module configured to identify, based on the node information and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node, obtain target fault information of the AC bus, and generate a simulation test operating condition list of the AC bus based on the target fault information of the AC bus;

[0036] an identification module, configured to identify a failure probability of each piece of fault information of each electrical node, and determine a failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node;

[0037] A determination module is used to simulate the simulation test operating condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus, and generate the target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus.

[0038] Optionally, the acquisition module is specifically configured to:

[0039] Filtering the structural information of the AC bus and the structural information of each electrical node from the structural information, and collecting the position information between each electrical node and the AC bus;

[0040] A grid structure model of the AC power grid is constructed based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus.

[0041] Optionally, the generating module is specifically configured to:

[0042] For each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depth of each electrical node;

[0043] Based on the equivalent impedance, respectively calculating a first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determining each first fault type of the AC bus based on each fault type corresponding to the node information;

[0044] Based on each first voltage drop depth of the AC bus corresponding to each electrical node and each first fault type of the AC bus corresponding to each electrical node, each target fault information of the AC bus is determined.

[0045] Optionally, the generating module is specifically configured to:

[0046] For each fault type, averaging and summing the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type;

[0047] The comprehensive voltage drop depths of the AC bus corresponding to each fault type are sorted in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0048] Optionally, the identification module is specifically configured to:

[0049] In the historical database, the number of each fault information of each electrical node in the target historical period is queried, and the number of each fault information of each electrical node is divided by the number of operations of the AC power grid in the historical period to obtain the failure probability of each fault information of each electrical node.

[0050] Optionally, the identification module is specifically configured to:

[0051] For each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying a proportional relationship between each piece of fault information of the electrical node and each piece of target fault information of the AC bus;

[0052] Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated respectively.

[0053] Optionally, the determining module is specifically configured to:

[0054] Dividing the simulation test condition list into sublists of different fault types, and then simulating grid operation information of different comprehensive voltage drop depths using the grid structure model in ascending order of the comprehensive voltage drop depths of the AC bus;

[0055] For each piece of grid operation information, identifying commutation information of a bridge arm current waveform in the grid operation information, and using the commutation information as sub-commutation record information of the grid operation information;

[0056] The sub-commutation record information of all types of comprehensive voltage drop depths is used as the commutation record information of the AC bus.

[0057] Optionally, the determining module is specifically configured to:

[0058] Using the fault probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information; the commutation result information includes commutation failure and commutation failure;

[0059] Adding the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and adding the target commutation result of each sub-commutation record information to the simulation test working condition list of the AC bus to obtain the commutation result list of the AC bus;

[0060] The number of sub-commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-commutation record information of commutation failure to obtain the sub-commutation failure probability of each sub-commutation, and the sum of all sub-commutation failure probabilities is divided by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

[0061] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0062] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0063] In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0064] The above-mentioned method, device, computer equipment and storage medium for generating commutation failure probability information obtain the fault information of different electrical nodes of the AC power grid, the node information of each of the electrical nodes, the AC bus information of the AC power grid, and the structural data information of each structural information of the AC power grid, and construct a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid; identify the fault information of the AC bus corresponding to the fault information of each electrical node based on the node information and the AC bus information, obtain each target fault information of the AC bus, and generate a simulation test condition list of the AC bus based on each target fault information of the AC bus; identify the failure probability of each fault information of each electrical node, and determine the failure probability of each target fault information of the AC bus based on the failure probability of each fault information of each electrical node; simulate the simulation test condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus, and generate the target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus. This solution converts the fault information of each electrical node related to the AC bus, which is the main factor affecting the commutation failure of the AC power grid, into the target fault information of the AC bus, thereby constructing a simulation test condition list for the AC bus and the failure probability of each target fault information of the AC bus, thereby improving the comprehensiveness of the constructed simulation test condition list and avoiding the situation where fault information is ignored, thereby affecting the accuracy of the identified commutation failure probability. Then, the terminal simulates the commutation record information of the AC bus that has the most significant impact on the commutation failure in the AC power grid under various fault information conditions, and according to the failure probability of each target fault information of the AC bus, adds the influencing factors of the fault probability to the commutation failure situation corresponding to each commutation record information, and obtains the target commutation failure probability information of the AC power grid, thereby improving the accuracy of the identified commutation failure probability. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 1 is a flow chart of a method for generating commutation failure probability information in one embodiment;

[0066] Figure 2 1 is a flow chart of an example of generating commutation failure probability information in one embodiment;

[0067] Figure 3 is a structural block diagram of a device for generating commutation failure probability information in one embodiment;

[0068] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0070] The method for generating commutation failure probability information provided in the embodiments of the present application can be applied to the application environment of commutation failure probability prediction in a high-voltage direct current (HVDC) power grid. The method can be applied to a terminal, a server, or a system including a terminal and a server, and implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablet computers, and the like. The server can be implemented as a standalone server or a server cluster consisting of multiple servers. Among them, the terminal converts the fault information of each electrical node related to the AC bus, which is the main factor affecting the commutation failure of the AC power grid, into the target fault information of the AC bus, thereby constructing a simulation test working condition list for the AC bus and the failure probability of each target fault information of the AC bus, thereby improving the comprehensiveness of the constructed simulation test working condition list and avoiding the situation where fault information is ignored, thereby affecting the accuracy of the identified commutation failure probability. Then, the terminal simulates the commutation record information of the AC bus that has the most important impact on the commutation failure in the AC power grid under various fault information conditions, and according to the failure probability of each target fault information of the AC bus, adds the influencing factors of the fault probability in the commutation failure situation corresponding to each commutation record information, and obtains the target commutation failure probability information of the AC power grid, thereby improving the accuracy of the identified commutation failure probability.

[0071] In one embodiment, Figure 1 As shown, a method for generating commutation failure probability information is provided, which is described by taking the application of the method to a terminal as an example, including the following steps:

[0072] Step S101: Acquire fault information of different electrical nodes of the AC power grid, node information of each electrical node, AC bus information of the AC power grid, and structural data information of various structural information of the AC power grid, and construct a power grid structure model of the AC power grid based on the structural data information of various structural information of the AC power grid.

[0073] In this embodiment, in response to a user's information upload operation, the terminal obtains fault information for each electrical node in the AC power grid that needs to be identified and has a failure probability, as well as node information for each electrical node, where the node information includes impedance information and resistance information of the electrical node. The terminal can then obtain AC bus information for the AC power grid, where the AC bus information includes load information for the AC bus of the DC power transmission system inverter station (hereinafter referred to as the AC bus) of the AC power grid, the electrical nodes carried by the AC bus, and the comprehensive impedance information of the AC bus. The terminal then obtains structural information for each hardware structure that constitutes the AC power grid, as well as structural data information for each structural information. The structural data information includes structural parameters for the hardware structure. The terminal then constructs a grid structure model for the AC power grid based on the structural data information for each structural information of the AC power grid. The grid structure model is constructed by using a finite element model construction strategy. Fault information includes the fault type and voltage dip depth. Fault types include single-phase ground fault, two-phase ground fault, two-phase interphase short circuit fault, and three-phase short circuit fault. Voltage dip depth refers to when the AC voltage drops to 90% to 10% of the rated voltage. Within this range, a voltage dip depth is set for every 10% drop in voltage.

[0074] Step S102: Based on the information of each node and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node is identified to obtain the target fault information of the AC bus, and based on the target fault information of the AC bus, a simulation test condition list of the AC bus is generated.

[0075] In this embodiment, based on the information of each node and the AC bus, the terminal first calculates the equivalent impedance between each electrical node and the AC bus. It then uses this equivalent impedance to calculate the AC bus fault information corresponding to each fault information at each electrical solution point, obtaining target fault information for the AC bus. The specific calculation process will be described in detail later. The terminal then arranges and combines the target fault information to obtain a list of simulated test conditions for the AC bus. The specific arrangement process will be described in detail later.

[0076] Step S103 : identifying the failure probability of each piece of fault information of each electrical node, and determining the failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node.

[0077] In this embodiment, the terminal identifies the failure probability of each piece of fault information for each electrical node, and based on the failure probability of each piece of fault information for each electrical node, determines the failure probability of each piece of target fault information for the AC bus. The failure probability of each piece of fault information for each electrical node can be identified by querying historical AC grid operation information to identify the failure probability of each piece of fault information for each electrical node. In another embodiment, the terminal identifies the failure probability of each piece of fault information for each electrical node by simulating the operation of an AC grid. The specific process of determining the failure probability of each piece of target fault information for the AC bus will be described in detail later. The failure probability of each piece of fault information for each electrical node can also be set to the same failure probability.

[0078] Step S104: simulating the AC busbar's simulation test condition list through the power grid structure model to obtain the AC busbar's commutation record information, and generating target commutation failure probability information of the AC power grid based on the AC busbar's commutation record information and the failure probability of each target fault information of the AC busbar.

[0079] In this embodiment, the terminal simulates the simulation test condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus, and generates the target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus.

[0080] Based on the above scheme, by converting the fault information of each electrical node related to the AC bus, which is the main factor affecting the commutation failure of the AC power grid, into the target fault information of the AC bus, a simulation test working condition list of the AC bus and the failure probability of each target fault information of the AC bus are constructed, thereby improving the comprehensiveness of the constructed simulation test working condition list and avoiding the situation where the fault information is ignored and the accuracy of the identified commutation failure probability is affected. Then, the terminal simulates the commutation record information of the AC bus that has the most important impact on the commutation failure in the AC power grid under various fault information conditions, and according to the failure probability of each target fault information of the AC bus, the influencing factors of the fault probability are added to the commutation failure situation corresponding to each commutation record information to obtain the target commutation failure probability information of the AC power grid, thereby improving the accuracy of the identified commutation failure probability.

[0081] Optionally, based on the structural data information of each structural information of the AC power grid, a grid structure model of the AC power grid is constructed, including: screening the structural information of the AC bus and the structural information of each electrical node in each structural information, and collecting the position information between each electrical node and the AC bus; based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus, the grid structure model of the AC power grid is constructed.

[0082] In this embodiment, the terminal filters the structural information of the AC bus and the structural information of each electrical node from the various structural information, and collects the positional information between each electrical node and the AC bus. The terminal then constructs a grid structure model of the AC power grid based on the structural data of the AC bus, the structural data of each electrical node, and the positional information between each electrical node and the AC bus. The positional information includes the connection method of each electrical node at the connection point of the AC bus and the spatial relative position of the electrical node with respect to the AC bus.

[0083] Based on the above scheme, a grid structure model is constructed by screening the main factors affecting commutation failure - the AC bus and each electrical node. This improves the accuracy of the constructed grid structure model in identifying the probability of commutation failure.

[0084] Optionally, the fault information includes a fault type and a voltage drop depth. Based on the information of each node and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node is identified to obtain target fault information of the AC bus, including: for each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depths of the electrical nodes; based on the equivalent impedance, calculating the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determining the first fault types of the AC bus based on the fault types corresponding to the node information; and determining the target fault information of the AC bus based on the first voltage drop depths of the AC bus corresponding to each electrical node and the first fault types of the AC bus corresponding to each electrical node.

[0085] In this embodiment, the terminal calculates the equivalent impedance of the AC bus information corresponding to each node information and identifies the voltage drop depth of each electrical node. The equivalent impedance is calculated by identifying the connection mode of each electrical node to the AC grid, which is either parallel or series. The terminal then calculates the equivalent impedance of the AC bus corresponding to the resistance value of each electrical node based on the equivalent impedance calculation formula corresponding to each connection mode. The equivalent impedance calculation formula for parallel nodes is different from that for series nodes.

[0086] The equivalent impedance calculation formula of the series node is:

[0087] Zeq=R1+R2+R3+R4+…+Rn

[0088] Among them, R1, R2, R3, R4, ..., Rn are resistance values ​​of different electrical nodes, and the resistance value number of each electrical node is a virtual number.

[0089] The equivalent impedance calculation formula of the parallel node is:

[0090] 1 / Zeq=1 / R1+1 / R2+1 / R3+1 / R4+…+1 / Rn

[0091] Among them, R1, R2, R3, R4, ..., Rn are resistance values ​​of different electrical nodes, and the resistance value number of each electrical node is a virtual number.

[0092] The terminal then calculates the first voltage sag depth of the AC bus corresponding to each voltage sag depth at each electrical node using a geometric ratio algorithm based on the equivalent impedance of each electrical node and the AC bus. The terminal also determines the first fault type of the AC bus based on the fault type corresponding to the node information. The fault type of the node information and the fault type of the AC bus are directly proportional.

[0093] Finally, the terminal determines target fault information of the AC bus based on the first voltage drop depths of the AC bus corresponding to each electrical node and the first fault types of the AC bus corresponding to each electrical node.

[0094] Based on the above solution, each target fault information of the AC bus corresponding to each electrical node is calculated by equivalent impedance, thereby improving the accuracy of identifying the fault information of the AC bus.

[0095] Optionally, based on the target fault information of the AC bus, a simulation test condition list of the AC bus is generated, including: for each fault type, averaging the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain the comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type; sorting the comprehensive voltage drop depths of the AC bus corresponding to each fault type in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0096] In this embodiment, for each fault type, the terminal averages and sums the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type, and obtains the comprehensive voltage drop depths of the AC bus corresponding to the different voltage drop depths of all electrical nodes of the fault type. For example, the voltage drop depths include 0.9, 0.5, and 0.1, and there are three electrical nodes, namely, a, b, and c. Then, the comprehensive voltage drop depths obtained after permutation and combination are: 1. When a is 0.9, b is 0.9, and c is 0.9, the comprehensive voltage drop depth is (0.9+0.9+0.9) / 3=0.9; 2. When a is 0.9, b is 0.5, and c is 0.9, the comprehensive voltage drop depth is (0.9+0.5+0.9) / 3=0.77; 3. When a is 0.9, b is 0.9, and c is 0.5 , the comprehensive voltage dip depth is (0.9+0.9+0.5) / 3=0.77; 4. When a is 0.5, b is 0.9, and c is 0.9, the comprehensive voltage dip depth is (0.5+0.9+0.9) / 3=0.77; 5. When a is 0.5, b is 0.5, and c is 0.9, the comprehensive voltage dip depth is (0.5+0.5+0.9) / 3=0.63; ... 27. When a is 0.1, b is 0.1, and c is 0.1, the comprehensive voltage dip depth is (0.1+0.1+0.1) / 3=0.3. The same voltage dip depth value is distinguished by adding the voltage drop depth value of each electrical node corresponding to each voltage dip depth value as the identification information of each same voltage dip depth value.

[0097] The terminal sorts the comprehensive voltage drop depths of the AC bus corresponding to each fault type in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0098] Based on the above scheme, by arranging the voltage drop depths of each electrical node, the comprehensive voltage drop depths of the AC bus are obtained, thereby determining the simulation test condition list of the AC bus, thereby improving the comprehensiveness of the determined simulation test condition list of the AC bus.

[0099] Optionally, identifying the failure probability of each fault information of each electrical node includes: querying the number of each fault information of each electrical node in the historical period in a historical database, and dividing the number of each fault information of each electrical node by the number of times the AC power grid operates in the historical period to obtain the failure probability of each fault information of each electrical node.

[0100] In this embodiment, the terminal queries the historical database for the number of fault messages for each electrical node during a historical period, and divides the number of fault messages for each electrical node by the number of AC grid operations during the historical period to obtain the failure probability of each fault message for each electrical node. The historical period is a time period preset by the operator at the terminal.

[0101] Based on the above solution, the failure probability of each fault information is obtained by calculating the number of occurrences of each fault information in the historical time period, thereby improving the practicality, accuracy and efficiency of the determined fault probability.

[0102] Optionally, based on the failure probability of each fault information of each electrical node, the failure probability of each target fault information of the AC bus is determined, including: for each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying the proportional relationship between each fault information of the electrical node and each target fault information of the AC bus; based on the proportional relationship, respectively calculating the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node.

[0103] In this embodiment, for each electrical node, the terminal identifies the proportional relationship between each piece of fault information at the electrical node and each piece of target fault information for the AC bus based on the ratio between the resistance value of the node information and the equivalent impedance of the AC bus information corresponding to the node information. The proportional relationship is the proportional relationship between each piece of fault information and the target fault information.

[0104] Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated. The failure probabilities of the electrical nodes and AC buses corresponding to equivalent impedances are determined by the terminal determining the proportional relationship between the fault information of the electrical node and the target fault information of the AC bus based on the proportional relationship between the equivalent impedance of the AC bus and the resistance value of the electrical node. The failure probability of each target fault information of the AC bus is then calculated using this proportional relationship and the failure probability of the fault information of the electrical node.

[0105] Based on the above solution, the failure probability of each target fault information of the AC bus is calculated through the failure probability of the fault information of each electrical node, thereby improving the accuracy and efficiency of determining the failure probability of each target fault information of the AC bus.

[0106] Optionally, a simulation test condition list of the AC bus is simulated through a power grid structure model to obtain the commutation record information of the AC bus, including: dividing the simulation test condition list into sub-lists of different fault types, and then simulating the power grid operation information of different comprehensive voltage drop depths through the power grid structure model in order from small to large according to the comprehensive voltage drop depth of the AC bus; for each power grid operation information, identifying the commutation information of the bridge arm current waveform in the power grid operation information, and using the commutation information as the sub-commutation record information of the power grid operation information; using the sub-commutation record information of all types of comprehensive voltage drop depths as the commutation record information of the AC bus.

[0107] In this embodiment, the terminal divides the simulated test condition list into sub-lists of different fault types. Then, in ascending order of the AC bus's integrated voltage drop depth, the terminal simulates grid operation information for different integrated voltage drop depths using a grid structure model. Next, the terminal identifies the commutation information of the bridge arm current waveform within each grid operation information, and uses the commutation information as sub-commutation record information for the grid operation information. Finally, the terminal uses the sub-commutation record information for all types of integrated voltage drop depths as the AC bus's commutation record information. Commutation failure is determined by determining whether the bridge arm current waveforms commutate in the correct order during the simulated fault information. If the bridge arm current waveforms exhibit a disordered commutation sequence, the terminal determines that a commutation failure has occurred in the AC grid corresponding to the target fault information. The commutation record information includes commutation result information for each target fault information, and the commutation structure information includes information indicating no failure and commutation failure.

[0108] Based on the above scheme, by simulating various fault information, the commutation information of the AC power grid corresponding to each target fault information of the AC bus is determined. While ensuring that the normal operation of the AC power grid is not affected, the efficiency and accuracy of identifying the commutation information of the AC power grid corresponding to each target fault information of the AC bus are improved.

[0109] Optionally, based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus, target commutation failure probability information of the AC power grid is generated, including: taking the failure probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information; the commutation result information includes no failure and commutation failure; adding the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and adding the target commutation result of each sub-commutation record information to the simulation test working condition list of the AC bus to obtain the commutation result list of the AC bus; multiplying the number of sub-commutation record information with commutation failure in the commutation result list by the probability weight corresponding to each sub-commutation record information with commutation failure to obtain the failure probability of each sub-commutation, and summing all sub-commutation failure probabilities and dividing the sum by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

[0110] In this embodiment, the terminal uses the failure probability information of each target fault information of the AC bus as a probability weight and identifies the commutation result information of each sub-commutation record information. This commutation result information includes non-failure and commutation failure. The terminal then adds the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information. The terminal also adds the target commutation result of each sub-commutation record information to the simulation test operating condition list of the AC bus to obtain the commutation result list of the AC bus. The commutation result list is used to represent the commutation failure situations corresponding to different fault information situations of the AC bus, as well as the probability of commutation failure under normal operation.

[0111] The terminal multiplies the number of sub-commutation record information of commutation failure in the commutation result list by the probability weight corresponding to each sub-commutation record information of commutation failure to obtain the failure probability of each sub-commutation. After summing up all sub-commutation failure probabilities, the terminal divides the sum of the probability weights of all sub-commutation record information by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

[0112] Based on the above solution, by multiplying the commutation failure probability by the probability of each fault information, the commutation failure probability of the AC power grid under normal operation of the AC power grid is identified, thereby improving the practicality and accuracy of the identified commutation failure probability.

[0113] This application also provides an example of generating commutation failure probability information, such as Figure 2 As shown, the specific processing process includes the following steps:

[0114] Step S201 : Acquire fault information of different electrical nodes of an AC power grid, node information of each electrical node, AC bus information of the AC power grid, and structural data information of various structural information of the AC power grid.

[0115] Step S202 : filtering the structural information of the AC bus and the structural information of each electrical node from among the structural information, and collecting the position information between each electrical node and the AC bus.

[0116] Step S203 : constructing a grid structure model of the AC power grid based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus.

[0117] Step S204 : for each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depth of each electrical node.

[0118] Step S205 : calculating the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node based on the equivalent impedance, and determining each first fault type of the AC bus based on each fault type corresponding to the node information.

[0119] Step S206 : determining target fault information of the AC bus based on the first voltage drop depths of the AC bus corresponding to each electrical node and the first fault types of the AC bus corresponding to each electrical node.

[0120] Step S207 , for each fault type, average and sum the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type.

[0121] Step S208 , sorting the comprehensive voltage drop depths of the AC bus corresponding to each fault type in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0122] Step S209: In the historical database, the number of each fault information of each electrical node in the target historical period is queried, and the number of each fault information of each electrical node is divided by the number of operations of the AC power grid in the historical period to obtain the failure probability of each fault information of each electrical node.

[0123] Step S210 , for each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying the proportional relationship between each fault information of the electrical node and each target fault information of the AC bus.

[0124] Step S211 : Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated respectively.

[0125] In step S212, the simulation test condition list is divided into sub-lists of different fault types. Then, in the order of the integrated voltage drop depth of the AC bus from small to large, the grid operation information of different integrated voltage drop depths is simulated through the grid structure model.

[0126] Step S213 : for each grid operation information, identifying the commutation information of the bridge arm current waveform in the grid operation information, and using the commutation information as sub-commutation record information of the grid operation information.

[0127] Step S214: Sub-commutation record information of all types of comprehensive voltage drop depths is used as commutation record information of the AC bus.

[0128] Step S215 : Using the fault probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information.

[0129] Step S216: Add the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and add the target commutation result of each sub-commutation record information to the simulation test condition list of the AC bus to obtain the commutation result list of the AC bus.

[0130] In step S217, the number of sub-commutation failure records in the commutation result list is multiplied by the probability weight corresponding to each sub-commutation failure record to obtain the failure probability of each sub-commutation. The sum of all sub-commutation failure probabilities is then divided by the sum of the probability weights of all sub-commutation records to obtain the target commutation failure probability information of the AC power grid.

[0131] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0132] Based on the same inventive concept, embodiments of the present application further provide a device for generating commutation failure probability information for implementing the aforementioned method for generating commutation failure probability information. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for generating commutation failure probability information provided below can be found in the aforementioned method for generating commutation failure probability information, and will not be further elaborated here.

[0133] In one embodiment, Figure 3 As shown, a device for generating commutation failure probability information is provided, including: an acquisition module 310, a generation module 320, an identification module 330 and a determination module 340, wherein:

[0134] an acquisition module 310 configured to acquire fault information of different electrical nodes of an AC power grid, node information of each electrical node, AC bus information of the AC power grid, and structural data information of each structural information of the AC power grid, and construct a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid;

[0135] A generating module 320 is configured to identify, based on the node information and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node, obtain target fault information of the AC bus, and generate a simulation test operating condition list of the AC bus based on the target fault information of the AC bus;

[0136] an identification module 330 for identifying a failure probability of each piece of fault information of each electrical node, and determining a failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node;

[0137] The determination module 340 is used to simulate the simulation test condition list of the AC bus through the grid structure model to obtain the commutation record information of the AC bus, and generate the target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus.

[0138] Optionally, the acquisition module 310 is specifically configured to:

[0139] Filtering the structural information of the AC bus and the structural information of each electrical node from the structural information, and collecting the position information between each electrical node and the AC bus;

[0140] A grid structure model of the AC power grid is constructed based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus.

[0141] Optionally, the generating module 320 is specifically configured to:

[0142] For each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depth of each electrical node;

[0143] Based on the equivalent impedance, respectively calculating a first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determining each first fault type of the AC bus based on each fault type corresponding to the node information;

[0144] Based on each first voltage drop depth of the AC bus corresponding to each electrical node and each first fault type of the AC bus corresponding to each electrical node, each target fault information of the AC bus is determined.

[0145] Optionally, the generating module 320 is specifically configured to:

[0146] For each fault type, averaging and summing the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type;

[0147] The comprehensive voltage drop depths of the AC bus corresponding to each fault type are sorted in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

[0148] Optionally, the identification module 330 is specifically configured to:

[0149] In the historical database, the number of each fault information of each electrical node in the target historical period is queried, and the number of each fault information of each electrical node is divided by the number of operations of the AC power grid in the historical period to obtain the failure probability of each fault information of each electrical node.

[0150] Optionally, the identification module 330 is specifically configured to:

[0151] For each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying a proportional relationship between each piece of fault information of the electrical node and each piece of target fault information of the AC bus;

[0152] Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated respectively.

[0153] Optionally, the determining module 340 is specifically configured to:

[0154] Dividing the simulation test condition list into sublists of different fault types, and then simulating grid operation information of different comprehensive voltage drop depths using the grid structure model in ascending order of the comprehensive voltage drop depths of the AC bus;

[0155] For each piece of grid operation information, identifying commutation information of a bridge arm current waveform in the grid operation information, and using the commutation information as sub-commutation record information of the grid operation information;

[0156] The sub-commutation record information of all types of comprehensive voltage drop depths is used as the commutation record information of the AC bus.

[0157] Optionally, the determining module 340 is specifically configured to:

[0158] Using the fault probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information; the commutation result information includes commutation failure and commutation failure;

[0159] Adding the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and adding the target commutation result of each sub-commutation record information to the simulation test working condition list of the AC bus to obtain the commutation result list of the AC bus;

[0160] The number of sub-commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-commutation record information of commutation failure to obtain the sub-commutation failure probability of each sub-commutation, and the sum of all sub-commutation failure probabilities is divided by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

[0161] Each module in the aforementioned apparatus for generating commutation failure probability information may be implemented in whole or in part via software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0162] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for generating commutation failure probability information is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0163] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0164] In one embodiment, a computer device is provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0165] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0166] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of any one of the methods of the first aspect when executed by a processor.

[0167] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0168] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0169] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0170] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for generating commutation failure probability information, characterized in that: The method comprises: Acquiring fault information of different electrical nodes of an AC power grid, node information of each of the electrical nodes, AC bus information of the AC power grid, and structural data information of each structural information of the AC power grid, and constructing a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid; Based on the node information and the AC bus information, identifying the fault information of the AC bus corresponding to the fault information of each electrical node, obtaining target fault information of the AC bus, and generating a simulation test operating condition list of the AC bus based on the target fault information of the AC bus; Identifying a failure probability of each piece of fault information of each electrical node, and determining a failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node; The power grid structure model is used to simulate a simulation test operating condition list of the AC bus to obtain commutation record information of the AC bus, and based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus, target commutation failure probability information of the AC power grid is generated.

2. The method according to claim 1, characterized in that The step of constructing a grid structure model of the AC grid based on the structural data information of each structural information of the AC grid includes: Filtering the structural information of the AC bus and the structural information of each electrical node from the structural information, and collecting the position information between each electrical node and the AC bus; A grid structure model of the AC power grid is constructed based on the structural data information of the AC bus, the structural data information of each electrical node, and the position information between each electrical node and the AC bus.

3. The method according to claim 1, characterized in that The fault information includes a fault type and a voltage drop depth. The identifying, based on the node information and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node, and obtaining target fault information of the AC bus includes: For each node information, calculating the equivalent impedance of the AC bus information corresponding to the node information, and identifying the voltage drop depth of each electrical node; Based on the equivalent impedance, respectively calculating a first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determining each first fault type of the AC bus based on each fault type corresponding to the node information; Based on each first voltage drop depth of the AC bus corresponding to each electrical node and each first fault type of the AC bus corresponding to each electrical node, each target fault information of the AC bus is determined.

4. The method according to claim 3, characterized in that The generating of the simulation test operating condition list of the AC bus based on each target fault information of the AC bus includes: For each fault type, averaging and summing the first voltage drop depths of the AC bus corresponding to each electrical node of the fault type to obtain comprehensive voltage drop depths of the AC bus corresponding to different voltage drop depths of all electrical nodes of the fault type; The comprehensive voltage drop depths of the AC bus corresponding to each fault type are sorted in ascending order of voltage drop depth to obtain a simulation test condition list of the AC bus.

5. The method according to claim 1, wherein Identify the failure probability of each fault information for each electrical node, including: In the historical database, the number of each fault information of each electrical node in the target historical period is queried, and the number of each fault information of each electrical node is divided by the number of operations of the AC power grid in the historical period to obtain the failure probability of each fault information of each electrical node.

6. The method according to claim 3, characterized in that The determining the failure probability of each target fault information of the AC bus based on the failure probability of each fault information of each electrical node includes: For each electrical node, based on the equivalent impedance of the AC bus information of the AC bus corresponding to the node information of the electrical node, identifying a proportional relationship between each piece of fault information of the electrical node and each piece of target fault information of the AC bus; Based on the proportional relationship, the failure probability of each target fault information of the AC bus corresponding to the failure probability of each fault information of the electrical node is calculated respectively.

7. The method according to claim 4, characterized in that The step of simulating the AC busbar's simulation test condition list using the power grid structure model to obtain commutation record information of the AC busbar includes: Dividing the simulation test condition list into sublists of different fault types, and then simulating grid operation information of different comprehensive voltage drop depths using the grid structure model in ascending order of the comprehensive voltage drop depths of the AC bus; For each piece of grid operation information, identifying commutation information of a bridge arm current waveform in the grid operation information, and using the commutation information as sub-commutation record information of the grid operation information; The sub-commutation record information of all types of comprehensive voltage drop depths is used as the commutation record information of the AC bus.

8. The method according to claim 1, characterized in that Generating target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus includes: Using the fault probability information of each target fault information of the AC bus as a probability weight, and identifying the commutation result information of each sub-commutation record information; the commutation result information includes commutation failure and commutation failure; Adding the probability weight of the target fault information corresponding to each sub-commutation record information to the commutation result information of each sub-commutation record information to obtain the target commutation result of each sub-commutation record information, and adding the target commutation result of each sub-commutation record information to the simulation test working condition list of the AC bus to obtain the commutation result list of the AC bus; The number of sub-commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-commutation record information of commutation failure to obtain the sub-commutation failure probability of each sub-commutation, and the sum of all sub-commutation failure probabilities is divided by the sum of the probability weights of all sub-commutation record information to obtain the target commutation failure probability information of the AC power grid.

9. A device for generating commutation failure probability information, characterized in that: The device comprises: an acquisition module, configured to acquire fault information of different electrical nodes of an AC power grid, node information of each of the electrical nodes, AC bus information of the AC power grid, and structural data information of each structural information of the AC power grid, and construct a power grid structure model of the AC power grid based on the structural data information of each structural information of the AC power grid; a generating module configured to identify, based on the node information and the AC bus information, the fault information of the AC bus corresponding to the fault information of each electrical node, obtain target fault information of the AC bus, and generate a simulation test operating condition list of the AC bus based on the target fault information of the AC bus; an identification module, configured to identify a failure probability of each piece of fault information of each electrical node, and determine a failure probability of each piece of target fault information of the AC bus based on the failure probability of each piece of fault information of each electrical node; A determination module is used to simulate the simulation test operating condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus, and generate the target commutation failure probability information of the AC power grid based on the commutation record information of the AC bus and the failure probability of each target fault information of the AC bus.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

12. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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