Method and device for generating commutation failure probability information, computer equipment and storage medium

Abstract

The invention 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, information of each node, information of an alternating current bus and structural data information of structural information of the alternating current power grid, and constructing a power grid structural model of the alternating current power grid; identifying each piece of 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 piece of fault information of each electrical node, and determining the fault probability of each piece of target fault information of the AC bus based on the fault probability of each piece of fault information of each electrical node; and simulating the simulation test working condition list of the AC bus to obtain commutation record information of the AC bus, and generating target commutation failure probability information of the AC power grid according to the above information. By adopting the method, the accuracy of identifying the commutation failure probability can be improved.

Description

Technical Field

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

[0002] Commutation failure is an inherent risk factor of HVDC transmission technology and one of the most common faults in the operation of HVDC transmission projects. When commutation failure occurs, the AC and DC voltages of the converter station are low, the current is overcurrent, and the DC power transmitted decreases, causing large-scale power fluctuations in both the transmitting and receiving power grids, affecting the safety of power grid operation. Therefore, how to detect the probability of commutation failure is the current research focus.

[0003] At present, the method for detecting the probability of commutation failure is to use the voltage drop of the receiving AC power grid as the basis for predicting commutation failure. That is, once the voltage of the AC power grid where the inverter station is located drops, it is considered that there is a possibility of commutation failure in the system, and then judge whether the system has commutation failure. However, commutation failure may still occur when the AC voltage is distorted but the effective value does not drop significantly. Therefore, the method of simply detecting voltage drop to identify whether the system has commutation failure is very limited, resulting in low accuracy of the identified commutation failure probability. Summary of the invention

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

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

[0006] 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 structural 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, identify the fault information of the AC bus corresponding to the fault information of each electrical node, 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;

[0008] Identifying the failure probability of each fault information of each electrical node, and 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;

[0009] The simulation test condition list of the AC bus is simulated through the power grid structure model to obtain the 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, the target commutation failure probability information of the AC power grid is generated.

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

[0011] In each of the structural information, the structural information of the AC bus and the structural information of each of the electrical nodes are screened, and the position information between each electrical node and the AC bus is collected;

[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 of the electrical nodes, 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 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 each 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 each voltage drop depth of the electrical node;

[0015] Based on the equivalent impedance, respectively calculate the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determine 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 of the AC bus based on each target fault information of the AC bus includes:

[0018] 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 the comprehensive voltage drop depths of the AC bus corresponding to the 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, 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:

[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 the proportional relationship between each fault information of the electrical node and each 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 condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus includes:

[0026] The simulation test condition list is divided into sub-lists of different fault types, and then, in the order of the comprehensive voltage drop depth of the AC bus from small to large, the grid operation information of different comprehensive voltage drop depths is simulated by the grid structure model respectively;

[0027] 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;

[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, the 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] Taking 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 not failed and commutation failure;

[0031] 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;

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

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

[0034] an acquisition module, used 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 structural 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 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;

[0036] An identification module, used to 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;

[0037] A determination module is used to simulate the simulation test condition list of the AC bus through the power grid structure model, 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 used to:

[0039] In each of the structural information, the structural information of the AC bus and the structural information of each of the electrical nodes are screened, and the position information between each electrical node and the AC bus is collected;

[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 of the electrical nodes, and the position information between each electrical node and the AC bus.

[0041] Optionally, the generating module is specifically used for:

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

[0043] Based on the equivalent impedance, respectively calculate the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determine 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 used for:

[0046] 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 the comprehensive voltage drop depths of the AC bus corresponding to the 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 used 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 used 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 the proportional relationship between each fault information of the electrical node and each 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 used to:

[0054] The simulation test condition list is divided into sub-lists of different fault types, and then, in the order of the comprehensive voltage drop depth of the AC bus from small to large, the grid operation information of different comprehensive voltage drop depths is simulated by the grid structure model respectively;

[0055] 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;

[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 used to:

[0058] Taking 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 not failed and commutation failure;

[0059] 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;

[0060] The number of sub-phase commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-phase commutation record information of commutation failure to obtain the failure probability of each sub-phase commutation, and the sum of all sub-phase commutation failure probabilities is divided by the sum of the probability weights of all sub-phase 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, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

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

[0063] In a fifth aspect, the present application provides a computer program product. The computer program product includes 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 scheme 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 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 impact on the commutation failure in the AC power grid under various fault information conditions, and according to the fault probability of each target fault information of the AC bus, adds the influencing factors of the fault probability in each commutation failure situation corresponding to the 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. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0066] Figure 2 A schematic diagram of 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. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0070] The method for generating commutation failure probability information provided by the embodiment of the present application can be applied to the application environment of commutation failure probability prediction of high-voltage direct current power grid. Among them, the method can be applied to a terminal, and can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. The server can be implemented with an independent 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 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 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 fault probability of each target fault information of the AC bus, adds the influencing factors of the fault probability in each commutation failure situation corresponding to the 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.

[0071] In one embodiment, Figure 1 As shown, a method for generating commutation failure probability information is provided, and the method is applied to a terminal as an example for description, including the following steps:

[0072] Step S101, acquiring 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 constructing 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, the terminal responds to the user's information upload operation to obtain the fault information of each electrical node of the AC power grid that needs to be identified and the failure probability, as well as the node information of each electrical node, wherein the node information includes the impedance information of the electrical node, and the resistance information of the electrical node, etc. Then, the terminal can obtain the AC bus information of the AC power grid, wherein the AC bus information is the load information of the AC bus (hereinafter referred to as the AC bus) of the DC transmission system inverter station of the AC power grid, the electrical nodes carried by the AC bus, and the comprehensive impedance information of the AC bus. Then, the terminal obtains the structural information of each hardware structure constituting the AC power grid, and the structural data information of each structural information. The structural data information is the structural parameters of the hardware structure. Then, the terminal constructs 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. Among them, the way to construct the power grid structure model is to construct the power grid structure model of the AC power grid through a finite element model construction strategy. The fault information includes the fault type and the voltage drop depth, wherein the fault type includes single-phase grounding fault type, two-phase grounding fault type, two-phase short circuit fault type, and three-phase short circuit fault type. The voltage drop depth includes the AC voltage dropping to 90% to 10% of the normal rated voltage, and a drop depth is set for each 10% drop in the voltage within this range.

[0074] Step S102, based on the information of each node and the AC bus information, identify the fault information of the AC bus corresponding to the fault information of each electrical node, 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.

[0075] In this embodiment, based on the information of each node and the AC bus information, the terminal first calculates the equivalent impedance between each electrical node and the AC bus, and then calculates the fault information of the AC bus corresponding to each fault information of each electrical solution point through the equivalent impedance, and obtains each target fault information of the AC bus. The specific calculation process will be described in detail later. After that, the terminal arranges and combines each target fault information to obtain a list of simulation 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 fault information of each electrical node, and determines 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. The method of identifying the failure probability of each fault information of each electrical node can be through querying the historical operation information of the historical AC power grid to identify the failure probability of each fault information of each electrical node. In another embodiment, the terminal identifies the failure probability of each fault information of each electrical node by simulating the operation process of the AC power grid. The specific process of determining the failure probability of each target fault information of the AC bus will be described in detail later. The failure probability of each fault information of each electrical node can also be set to the same failure probability.

[0078] Step S104, simulating the simulation test condition list of the AC bus through the power grid structure model, obtaining the commutation record information of the AC bus, and generating 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.

[0079] In this embodiment, the terminal simulates the simulation test condition list of the AC bus through the power grid structure model, obtains 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 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 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 impact on the commutation failure in the AC power grid under various fault information conditions, and according to the fault 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: in each structural information, screening the structural information of the AC bus and the structural information of each electrical node, 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 selects the structural information of the AC bus and the structural information of each electrical node from each structural information, and collects the position information between each electrical node and the AC bus. Then, the terminal constructs the grid structure model of the AC 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. The position information includes the connection mode of each electrical node at the connection point of the AC bus, and the spatial relative position information of the electrical node and the AC bus.

[0083] Based on the above scheme, the main factors affecting commutation failure, namely the AC bus and each electrical node, are screened to construct a grid structure model, thereby improving 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; 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 with the AC power grid, which are parallel mode and series mode. Then, the terminal 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 the different connection modes. The equivalent impedance calculation formula of the parallel node is different from the equivalent impedance calculation formula of the series node.

[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] Then, based on the equivalent impedance of each electrical node and the AC bus, the terminal calculates the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node through a geometric ratio algorithm, and determines each first fault type of the AC bus based on each fault type corresponding to the node information. The fault type of the node information and the fault type of the AC bus are in direct proportional relationship.

[0093] Finally, the terminal determines each target fault information of the AC bus 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.

[0094] Based on the above scheme, 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 each 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, and obtaining the comprehensive voltage drop depths of the AC bus corresponding to the 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 the voltage drop depth, and obtaining 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 drop 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 drop 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 drop 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 drop depth is (0.1+0.1+0.1) / 3=0.3. The same voltage drop depth value is added by adding the voltage drop depth value of each electrical node corresponding to each voltage drop depth value as the distinguishing identification information of each same voltage drop 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, and obtains a list of simulation test conditions for the AC bus.

[0098] Based on the above scheme, by arranging the voltage drop depth of each electrical node, the comprehensive voltage drop depth of the AC bus is 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 searches the history database for the number of fault information of each electrical node in the history period, and divides the number of fault information of each electrical node by the number of operations of the AC power grid in the history period to obtain the fault probability of each fault information of each electrical node. The history period is a time period preset in the terminal by the staff.

[0101] Based on the above scheme, 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, the terminal identifies the proportional relationship between each fault information of the electrical node and each target fault information of the AC bus based on the ratio between the resistance value of the node information of the electrical node and the equivalent impedance of the AC bus information corresponding to the node information for each electrical node. The proportional relationship is the proportional relationship between each 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 respectively. The fault probability of the electrical node and the AC bus corresponding to the equivalent impedance is determined in the following manner: the terminal determines the proportional relationship between the fault information of the electrical node and the target fault information of the AC bus based on the proportional value relationship between the equivalent impedance of the AC bus and the resistance value of the electrical node, and then calculates the failure probability of each target fault information of the AC bus through the proportional relationship and the failure probability of the fault information of the electrical node.

[0105] Based on the above scheme, 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 of the comprehensive voltage drop depth of the AC bus from small to large; 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 all types of sub-commutation record information of each comprehensive voltage drop depth as the commutation record information of the AC bus.

[0107] In this embodiment, the terminal divides the simulation test condition list into sub-lists of different fault types, and then simulates the grid operation information of different comprehensive voltage drop depths through the grid structure model in the order of the comprehensive voltage drop depth of the AC bus from small to large. After that, the terminal identifies the commutation information of the bridge arm current waveform in the grid operation information for each grid operation information, and uses the commutation information as the sub-commutation record information of the grid operation information. Finally, the terminal uses all types of sub-commutation record information of each comprehensive voltage drop depth as the commutation record information of the AC bus. Among them, the determination method of commutation failure is that the terminal judges whether the bridge arm current waveform is orderly commutated in the correct order during the occurrence of the simulation fault information, and when the commutation order of the bridge arm current waveform is disordered, the terminal determines that the AC grid corresponding to the target fault information has a commutation failure. Among them, the commutation record information contains the commutation result information of each target fault information, and the commutation structure information includes 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 is 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 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 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 fault probability information of each target fault information of the AC bus as the probability weight, and identifies the commutation result information of each sub-commutation record information, wherein the commutation result information includes no failure and commutation failure. Then, the terminal 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, obtains the target commutation result of each sub-commutation record information, and adds the target commutation result of each sub-commutation record information to the simulation test condition list of the AC bus, and obtains the commutation result list of the AC bus. The commutation result list is used to characterize the commutation failure corresponding to the AC bus under different fault information conditions, and the probability of the commutation failure under normal operation.

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

[0112] Based on the above scheme, 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] The present 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 , acquiring 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.

[0115] Step S202 : screening 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, calculate the equivalent impedance of the AC bus information corresponding to the node information, and identify the voltage drop depth of each electrical node.

[0118] Step S205 , based on the equivalent impedance, respectively calculate the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determine 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 first voltage drop depths of the AC bus corresponding to each electrical node and 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 the 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, query the historical database for the number of fault information of each electrical node in the target historical period, and divide the number of fault information of each electrical node by the number of operations of the AC power grid in the historical period to obtain the fault 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, respectively calculate 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.

[0125] Step S212, divide the simulation test condition list into sub-lists of different fault types, and then simulate the grid operation information of different comprehensive voltage drop depths through the grid structure model in order of the comprehensive voltage drop depth of the AC bus from small to large.

[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: taking sub-commutation record information of all types of comprehensive voltage drop depths as commutation record information of the AC bus.

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

[0129] Step S216, 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, obtaining 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 condition list of the AC bus to obtain the commutation result list of the AC bus.

[0130] Step S217, multiplying the number of sub-phase commutation record information of commutation failure in the commutation result list by the probability weight corresponding to each sub-phase commutation record information of commutation failure to obtain the failure probability of each sub-phase commutation, and summing up all sub-phase commutation failure probabilities and dividing by the sum of the probability weights of all sub-phase commutation record information 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 above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed 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 part of the steps or stages in other steps.

[0132] Based on the same inventive concept, the embodiment of the present application also provides a device for generating commutation failure probability information for implementing the method for generating commutation failure probability information involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more commutation failure probability information generation devices provided below can refer to the limitations of the method for generating commutation failure probability information above, and will not be repeated 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 is used 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 to construct a power grid structural 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 used to 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;

[0136] An identification module 330, configured to 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;

[0137] The determination module 340 is used to simulate the simulation test condition list of the AC bus through the power grid structure model, 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] In each of the structural information, the structural information of the AC bus and the structural information of each of the electrical nodes are screened, and the position information between each electrical node and the AC bus is collected;

[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 of the electrical nodes, 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 each voltage drop depth of the electrical node;

[0143] Based on the equivalent impedance, respectively calculate the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determine 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, average and sum 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 the 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 used 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 used 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 the proportional relationship between each fault information of the electrical node and each 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] The simulation test condition list is divided into sub-lists of different fault types, and then, in the order of the comprehensive voltage drop depth of the AC bus from small to large, the grid operation information of different comprehensive voltage drop depths is simulated by the grid structure model respectively;

[0155] 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;

[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] Taking 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 not failed and commutation failure;

[0159] 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;

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

[0161] Each module in the above-mentioned commutation failure probability information generation device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[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 through a system bus. Among them, 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, and 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, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[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 those shown in the figure, or combine certain components, or have a different arrangement of components.

[0164] In one embodiment, a computer device is provided, including 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, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[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 can understand that all or part of the processes in the above-mentioned embodiment methods can be completed 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 the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an 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 each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0169] The technical features of the above embodiments may 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 only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for generating commutation failure probability information, characterized in that: The method comprises: 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 structural 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, identify the fault information of the AC bus corresponding to the fault information of each electrical node, 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; Identifying the failure probability of each fault information of each electrical node, and 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; The simulation test condition list of the AC bus is simulated through the power grid structure model to obtain the 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, the 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: In each of the structural information, the structural information of the AC bus and the structural information of each of the electrical nodes are screened, and the position information between each electrical node and the AC bus is collected; 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 of the electrical nodes, 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. 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 is identified to obtain each 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 each voltage drop depth of the electrical node; Based on the equivalent impedance, respectively calculate the first voltage drop depth of the AC bus corresponding to each voltage drop depth of the electrical node, and determine 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 condition list of the AC bus based on each target fault information of the AC bus includes: 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 the comprehensive voltage drop depths of the AC bus corresponding to the 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, characterized in that Identify the failure probability of each fault information of 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 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, 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 simulation test condition list of the AC bus through the power grid structure model to obtain the commutation record information of the AC bus includes: The simulation test condition list is divided into sub-lists of different fault types, and then, in the order of the comprehensive voltage drop depth of the AC bus from small to large, the grid operation information of different comprehensive voltage drop depths is simulated by the grid structure model respectively; 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; 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 The 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: Taking 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 not failed and commutation failure; 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; The number of sub-phase commutation record information of commutation failure in the commutation result list is multiplied by the probability weight corresponding to each sub-phase commutation record information of commutation failure to obtain the failure probability of each sub-phase commutation, and the sum of all sub-phase commutation failure probabilities is divided by the sum of the probability weights of all sub-phase 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, used 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 structural 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 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; An identification module, used to 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; A determination module is used to simulate the simulation test condition list of the AC bus through the power grid structure model, 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, characterized in that: 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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