A method and system for planning fault recovery paths for electric power equipment

Abstract

The present invention relates to a method and system for planning a fault recovery path of electric equipment, comprising the following steps: collecting communication link data of electric equipment, and constructing a communication network model of electric equipment based on the communication link data of electric equipment; collecting real-time fault data of electric equipment, and the communication network model of electric equipment outputs a basic planning path for restoration of electric equipment; constructing a fault prediction model for communication link of electric equipment, and inputting historical fault data of communication link of electric equipment into the model for training, and the communication link fault prediction model of electric equipment outputs a fault coefficient of each communication link; collecting operating status data of electric equipment, and calculating an aging degree coefficient of electric equipment based on the operating status data of electric equipment; optimizing the basic planning path for restoration of electric equipment by the fault coefficient of the communication link and the aging coefficient of the electric equipment, and obtaining a final recovery planning path.

Description

Technical Field

[0001] The invention relates to a method and system for planning a fault recovery path for electric power equipment, belonging to the technical field of electric power fault recovery. Background Art

[0002] The power system, especially the distribution network, is easily affected by natural disasters (such as typhoons, floods, earthquakes, etc.) and human factors (such as equipment failures, operational errors, etc.), resulting in large-scale power outages, which ultimately affect people's production and life. Therefore, it is necessary to speed up the repair and restoration of the distribution network. Traditional fault recovery methods usually rely on expert systems and heuristic algorithms. These methods require a lot of expert knowledge and experience, have high computational complexity, and poor real-time performance;

[0003] The invention patent with announcement number "CN115800270B" discloses a method and device for coordinated restoration of power and communication in a distribution network, wherein the method includes the following steps: dividing the area to be restored into a number of first-level areas to be restored and second-level areas to be restored; taking the first-level area to be restored where the faulty base station is located as the emergency communication restoration area, and determining all emergency communication restoration areas where the faulty base station is located; calculating the restoration return of the faulty base station in each emergency communication restoration area according to the power parameters of the second-level area to be restored and the communication parameters of the emergency communication restoration area, and restoring the communication failure of the emergency communication restoration area in the order of restoration return from large to small; constructing a two-layer optimization model of power communication in the area to be restored with the overall goal of quickly restoring power supply to important load level areas; solving the two-layer optimization model of power communication using a depth-first traversal path search algorithm to determine the final repair plan; the method can significantly shorten the emergency repair time of the distribution network after a disaster and reduce the power outage losses of the distribution network.

[0004] However, the above scheme does not take into account the aging degree of power equipment and the failure of communication links. Power equipment with a high degree of aging may be the key nodes in the distribution network. Once these nodes fail, it may cause large-scale power failures. Therefore, they need to be restored as a priority. At the same time, the stability of the communication link also affects the transmission efficiency of the communication and the overall stability of the distribution network. All communication links should also be considered in the repair plan. Summary of the invention

[0005] In order to solve the above problems existing in the prior art, the present invention proposes a method and system for planning a fault recovery path for electric power equipment.

[0006] The technical solution of the present invention is as follows:

[0007] In one aspect, the present invention provides a method for planning a fault recovery path for an electric power device, comprising the following steps:

[0008] Collecting power equipment communication link data, and building a power equipment communication network model based on the power equipment communication link data;

[0009] Collecting real-time fault data of power equipment and inputting the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic planning path for power equipment restoration;

[0010] Collect historical fault data of the communication link of the power equipment, and build a fault prediction model for the communication link of the power equipment. Input the historical fault data of the communication link of the power equipment into the model for training to obtain a trained fault prediction model for the communication link of the power equipment. The fault prediction model for the communication link of the power equipment outputs the fault coefficient of each communication link.

[0011] Collecting the operating status data of the electric equipment, and calculating the aging degree coefficient of the electric equipment based on the operating status data of the electric equipment;

[0012] After optimizing the basic planning path for power equipment restoration by the failure coefficient of the communication link and the aging coefficient of the power equipment, the final restoration planning path is obtained.

[0013] As a preferred embodiment of the present invention, the power equipment communication network model includes a plurality of nodes and edges, wherein the nodes in the power equipment communication network model represent power equipment, and the edges represent communication links between power equipment;

[0014] According to the real-time fault data of the power equipment, the node corresponding to the faulty power equipment is used as the target point;

[0015] Calculate restoration priority of failed power equipment , as shown in the following formula:

[0016]

[0017] in: Indicates the no-load loss of power equipment; Indicates the utilization rate of power equipment; Indicates the load loss of the power equipment; Indicates the power cost of electric equipment; Indicates the upper limit of the service life of the power equipment; Indicates that the power equipment is used until Year, ; represents the power cost growth rate; represents the weighted average cost of capital; represents the cost of electrical equipment;

[0018] The restoration priority of each faulty power equipment is calculated by the above formula, and the faulty power equipment with the highest priority is selected as the starting point;

[0019] Calculate the maintenance cost of all faulty power equipment except the starting point, combine the restoration priority and maintenance cost of each faulty power equipment except the starting point to obtain the comprehensive cost of each faulty power equipment, and select the node corresponding to the faulty power equipment with the lowest comprehensive cost as the next starting point;

[0020] Repeat the above steps until all faulty power equipment is restored, completing the basic planning path for power equipment restoration.

[0021] As a preferred embodiment of the present invention, the maintenance cost of all faulty power equipment except the starting point is The specific calculation formula is:

[0022]

[0023] in: Indicates the total number of components of the power equipment; Indicates the first parts, ; Indicates the travel cost to reach the power equipment; Indicates Importance weight of each component; Indicates The repair cost of each component.

[0024] As a preferred embodiment of the present invention, the power equipment communication link fault prediction model is constructed based on the Informer model and the LSTM model;

[0025] The failure probability of each communication link is predicted by the power equipment communication link failure prediction model, and the failure coefficient of each communication link is calculated by the following formula: :

[0026]

[0027] in: Indicates the total communication duration of the communication link; represents the probability of communication link failure; Indicates the communication link bandwidth; Indicates the historical maintenance frequency of the communication link; Indicates the number of historical failures of the communication link; Indicates the communication link delay; Represents the communication link congestion coefficient.

[0028] As a preferred embodiment of the present invention, the specific calculation steps of the aging degree coefficient of the power equipment are:

[0029] Collect the average load of the power equipment per unit time, the average temperature value of the power equipment per unit time, and the average air temperature, and calculate the aging degree coefficient of the power equipment by the following formula :

[0030]

[0031] in: Indicates the rated maximum load of the power equipment; Indicates that the power equipment is The load of the moment; represents an empirical constant; Indicates the maximum operating temperature of the power equipment; Indicates that the power equipment is Temperature value at the moment; represents the average temperature; represents the seasonal coefficient; , are load and temperature weight coefficients respectively.

[0032] As a preferred embodiment of the present invention, the optimization steps of the basic planning path for power equipment restoration are:

[0033] Comprehensively consider the power equipment restoration priority and the power equipment aging degree coefficient, recalculate the restoration priority of each power equipment, and thus determine a new starting point;

[0034] When calculating the maintenance costs of all faulty power equipment except the starting point at the same time, the restoration priority and maintenance cost of each faulty power equipment except the starting point are combined to obtain the comprehensive cost of each faulty power equipment, and the node corresponding to the faulty power equipment with the lowest comprehensive cost is selected as the next starting point, thereby obtaining the optimal path for power equipment restoration;

[0035] A communication link failure coefficient threshold is preset, and the edges corresponding to the communication links with failure coefficients greater than the threshold are used as maintenance edges. The maintenance edges in the power equipment recovery optimization path are repaired along the way, and the remaining maintenance edges are independently repaired after completing the maintenance plan of the power equipment recovery optimization path.

[0036] On the other hand, the present invention also provides a power equipment fault recovery path planning system, including a power equipment communication network model building module, a recovery basic path planning module, a communication link fault prediction module, a power equipment aging assessment module and a recovery basic path optimization module;

[0037] The power equipment communication network model building module is used to collect power equipment communication link data and build a power equipment communication network model based on the power equipment communication link data;

[0038] The basic restoration path planning module is used to collect real-time fault data of power equipment and input the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic restoration planning path of the power equipment;

[0039] The communication link failure prediction module is used to collect historical failure data of the communication link of the power equipment, and to construct a communication link failure prediction model for the power equipment. The historical failure data of the communication link of the power equipment is input into the model for training to obtain a trained communication link failure prediction model for the power equipment. The communication link failure prediction model for the power equipment outputs a failure coefficient of each communication link.

[0040] The power equipment aging assessment module is used to collect the operating status data of the power equipment and calculate the power equipment aging degree coefficient based on the operating status data of the power equipment;

[0041] The basic restoration path optimization module is used to optimize the basic restoration planning path of the power equipment through the failure coefficient of the communication link and the aging coefficient of the power equipment to obtain the final restoration planning path.

[0042] On the other hand, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0043] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the present invention.

[0044] The present invention has the following beneficial effects:

[0045] The present invention additionally considers the aging degree of the power equipment and the possibility of failure of the communication link between the power equipment and designs a power equipment fault recovery path planning method, so that maintenance personnel can perform efficient and accurate maintenance according to the planned path. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0049] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0050] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0051] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0052] Embodiment 1:

[0053] See also Figure 1 , a method for planning a fault recovery path for an electric power device, comprising the following steps:

[0054] Collecting power equipment communication link data, and building a power equipment communication network model based on the power equipment communication link data;

[0055] Collect real-time fault data of power equipment, and input the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic planning path for power equipment restoration;

[0056] Collect historical fault data of the communication link of the power equipment, and build a fault prediction model for the communication link of the power equipment. Input the historical fault data of the communication link of the power equipment into the model for training to obtain a trained fault prediction model for the communication link of the power equipment. The fault prediction model for the communication link of the power equipment outputs the fault coefficient of each communication link.

[0057] Collecting the operating status data of the electric equipment, and calculating the aging degree coefficient of the electric equipment based on the operating status data of the electric equipment;

[0058] After optimizing the basic planning path for power equipment restoration by the failure coefficient of the communication link and the aging coefficient of the power equipment, the final restoration planning path is obtained.

[0059] As a preferred implementation of this embodiment, the power equipment communication network model includes multiple nodes and edges, the nodes in the power equipment communication network model represent power equipment, and the edges represent communication links between power equipment;

[0060] According to the real-time fault data of the power equipment, the node corresponding to the faulty power equipment is used as the target point;

[0061] Calculate restoration priority of failed power equipment , as shown in the following formula:

[0062]

[0063] in: Indicates the no-load loss of power equipment; Indicates the utilization rate of power equipment; Indicates the load loss of the power equipment; Indicates the power cost of electric equipment; Indicates the upper limit of the service life of the power equipment, which is the maximum operating life set by the manufacturer when the power equipment leaves the factory; Indicates that the power equipment is used until Year, ; represents the power cost growth rate; represents the weighted average cost of capital; Represents the cost of electrical equipment, including the cost of purchase, installation and initial commissioning;

[0064] The power cost is calculated as:

[0065]

[0066] in: Indicates the rated power of electrical equipment; Indicates the operating time of the power equipment;

[0067] Indicates the electricity cost per kilowatt-hour;

[0068] The power cost growth rate is calculated as:

[0069]

[0070] The formula for calculating the weighted average cost of capital is:

[0071]

[0072] in: It represents the market value of the company’s equity; represents the total market value of the company, i.e. ; represents the cost of equity, i.e. the rate of return required by shareholders; Represents the market value of a company’s debt; represents the cost of debt, i.e. the rate of return required by creditors; represents the corporate tax rate;

[0073] The restoration priority of each faulty power equipment is calculated by the above formula, and the faulty power equipment with the highest priority is selected as the starting point;

[0074] Calculate the maintenance cost of all faulty power equipment except the starting point, combine the restoration priority and maintenance cost of each faulty power equipment except the starting point to obtain the comprehensive cost of each faulty power equipment, and select the node corresponding to the faulty power equipment with the lowest comprehensive cost as the next starting point;

[0075] Repeat the above steps until all faulty power equipment is restored, completing the basic planning path for power equipment restoration.

[0076] As a preferred implementation of this embodiment, the maintenance cost of all faulty power equipment except the starting point is The specific calculation formula is:

[0077]

[0078] in: Indicates the total number of components of the power equipment; Indicates the first parts, ; Indicates the travel cost to reach the power equipment; Indicates Importance weight of each component; Indicates Repair cost of each component.

[0079] The calculation formula for the journey cost is:

[0080]

[0081] As a preferred implementation of this embodiment, the power equipment communication link fault prediction model is constructed based on the Informer model and the LSTM model;

[0082] The collected historical fault data of the power equipment communication link includes link status (normal / faulty), timestamp, environmental parameters (temperature, humidity, etc.) and network parameters (bandwidth, delay, packet loss rate, etc.);

[0083] The loss function of this model is as follows:

[0084]

[0085] in: Indicates that the Informer model outputs The predicted value of samples; Indicates that the LSTM model outputs The predicted value of samples; , are weight coefficients, used to balance the losses of the two parts; is the sample size; Indicates actual sample labels;

[0086] The failure probability of each communication link is predicted by the power equipment communication link failure prediction model, and the failure coefficient of each communication link is calculated by the following formula: :

[0087]

[0088] in: Indicates the total communication duration of the communication link; represents the probability of communication link failure; Indicates the communication link bandwidth; Indicates the historical maintenance frequency of the communication link; Indicates the number of historical failures of the communication link; Indicates the communication link delay; Indicates the communication link congestion coefficient, which is an empirical coefficient and is set manually;

[0089] As a preferred implementation of this embodiment, the specific calculation steps of the aging degree coefficient of the power equipment are:

[0090] Collect the average load of the power equipment per unit time, the average temperature value of the power equipment per unit time, and the average air temperature, and calculate the aging degree coefficient of the power equipment by the following formula :

[0091]

[0092] in: Indicates the rated maximum load of the power equipment; Indicates that the power equipment is The load of the moment; It represents the empirical constant, and different values ​​are set according to different power equipment; Indicates the maximum operating temperature of the power equipment; Indicates that the power equipment is Temperature value at the moment; represents the average temperature; represents the seasonal coefficient; , are load and temperature weight coefficients respectively;

[0093] The calculation formula of the seasonal coefficient is:

[0094]

[0095] in: , Respectively represent the average temperature and humidity of a season; , Indicates the average temperature and humidity of the base season.

[0096] As a preferred implementation of this embodiment, the optimization steps of the basic planning path for power equipment restoration are:

[0097] Comprehensively consider the power equipment restoration priority and the power equipment aging degree coefficient, recalculate the restoration priority of each power equipment, and thus determine a new starting point;

[0098] When calculating the maintenance costs of all faulty power equipment except the starting point at the same time, the restoration priority and maintenance cost of each faulty power equipment except the starting point are combined to obtain the comprehensive cost of each faulty power equipment, and the node corresponding to the faulty power equipment with the lowest comprehensive cost is selected as the next starting point, thereby obtaining the optimal path for power equipment restoration;

[0099] A communication link failure coefficient threshold is preset, and the edges corresponding to the communication links with failure coefficients greater than the threshold are used as maintenance edges. The maintenance edges in the power equipment recovery optimization path are repaired along the way, and the remaining maintenance edges are independently repaired after completing the maintenance plan of the power equipment recovery optimization path.

[0100] Embodiment 2:

[0101] A power equipment fault recovery path planning system, comprising a power equipment communication network model building module, a recovery basic path planning module, a communication link fault prediction module, a power equipment aging assessment module and a recovery basic path optimization module;

[0102] The power equipment communication network model building module is used to collect power equipment communication link data and build a power equipment communication network model based on the power equipment communication link data;

[0103] The basic restoration path planning module is used to collect real-time fault data of power equipment and input the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic restoration planning path of the power equipment;

[0104] The communication link failure prediction module is used to collect historical failure data of the communication link of the power equipment, and to construct a communication link failure prediction model for the power equipment. The historical failure data of the communication link of the power equipment is input into the model for training to obtain a trained communication link failure prediction model for the power equipment. The communication link failure prediction model for the power equipment outputs a failure coefficient of each communication link.

[0105] The power equipment aging assessment module is used to collect the operating status data of the power equipment and calculate the power equipment aging degree coefficient based on the operating status data of the power equipment;

[0106] The basic restoration path optimization module is used to optimize the basic restoration planning path of the power equipment through the failure coefficient of the communication link and the aging coefficient of the power equipment to obtain the final restoration planning path.

[0107] This system is used to implement the functions in the first embodiment, which will not be described in detail here.

[0108] Embodiment three:

[0109] This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for planning a fault recovery path for electric power equipment as described in any embodiment of the present invention is implemented.

[0110] Embodiment 4:

[0111] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for planning a fault recovery path for electric power equipment as described in any embodiment of the present invention is implemented.

[0112] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0113] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0115] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0116] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for planning a fault recovery path for power equipment, It is characterized in that The following steps are involved: Collecting power equipment communication link data, and building a power equipment communication network model based on the power equipment communication link data; Collecting real-time fault data of power equipment and inputting the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic planning path for power equipment restoration; Collect historical fault data of the communication link of the power equipment, and build a fault prediction model for the communication link of the power equipment. Input the historical fault data of the communication link of the power equipment into the model for training to obtain a trained fault prediction model for the communication link of the power equipment. The fault prediction model for the communication link of the power equipment outputs the fault coefficient of each communication link. Collecting the operating status data of the electric equipment, and calculating the aging degree coefficient of the electric equipment based on the operating status data of the electric equipment; After optimizing the basic planning path for power equipment restoration by the failure coefficient of the communication link and the aging coefficient of the power equipment, the final restoration planning path is obtained; The power equipment communication network model comprises a plurality of nodes and edges, wherein the nodes in the power equipment communication network model represent power equipment, and the edges represent communication links between power equipment; According to the real-time fault data of the power equipment, the node corresponding to the faulty power equipment is used as the target point; Calculate restoration priority of failed power equipment , as shown in the following formula: in: Indicates the no-load loss of power equipment; Indicates the utilization rate of power equipment; Indicates the load loss of the power equipment; Indicates the power cost of electric equipment; Indicates the upper limit of the service life of the power equipment; Indicates that the power equipment is used until Year; represents the power cost growth rate; represents the weighted average cost of capital; represents the cost of electrical equipment; The restoration priority of each faulty power equipment is calculated by the above formula, and the faulty power equipment with the highest priority is selected as the starting point; Calculate the maintenance cost of all faulty power equipment except the starting point, combine the restoration priority and maintenance cost of each faulty power equipment except the starting point to obtain the comprehensive cost of each faulty power equipment, and select the node corresponding to the faulty power equipment with the lowest comprehensive cost as the next starting point; Repeat the above steps until all faulty power equipment is restored, completing the basic planning path for power equipment restoration.

2. A method for planning a fault recovery path for electric power equipment according to claim 1, It is characterized in that The repair costs of all faulty electrical equipment except the starting point The specific calculation formula is: in: Indicates the total number of components of the power equipment; Indicates the first Parts; Indicates the travel cost to reach the power equipment; Indicates Importance weight of each component; Indicates Repair cost of each component.

3. A method for planning a fault recovery path for electric power equipment according to claim 1, It is characterized in that The power equipment communication link fault prediction model is constructed based on the Informer model and the LSTM model; The failure probability of each communication link is predicted by the power equipment communication link failure prediction model, and the failure coefficient of each communication link is calculated by the following formula: : in: Indicates the total communication duration of the communication link; represents the probability of communication link failure; Indicates the communication link bandwidth; Indicates the historical maintenance frequency of the communication link; Indicates the number of historical failures of the communication link; Indicates the communication link delay.

4. A method for planning a fault recovery path for electric power equipment according to claim 1, It is characterized in that The specific calculation steps of the aging degree coefficient of the power equipment are: Collect the average load of the power equipment per unit time, the average temperature value of the power equipment per unit time, and the average air temperature, and calculate the aging degree coefficient of the power equipment by the following formula : in: Indicates the rated maximum load of the power equipment; Indicates that the power equipment is The load of the moment; represents the empirical constant; Indicates the maximum operating temperature of the power equipment; Indicates that the power equipment is Temperature value at the moment; represents the average temperature; represents the seasonal coefficient; , are load and temperature weight coefficients respectively.

5. A method for planning a fault recovery path for electric power equipment according to claim 1, It is characterized in that The optimization steps of the basic planning path for power equipment restoration are: Comprehensively consider the power equipment restoration priority and the power equipment aging degree coefficient, recalculate the restoration priority of each power equipment, and thus determine a new starting point; When calculating the maintenance costs of all faulty power equipment except the starting point at the same time, the restoration priority and maintenance cost of each faulty power equipment except the starting point are combined to obtain the comprehensive cost of each faulty power equipment, and the node corresponding to the faulty power equipment with the lowest comprehensive cost is selected as the next starting point, thereby obtaining the optimal path for power equipment restoration; A communication link failure coefficient threshold is preset, and the edges corresponding to the communication links with failure coefficients greater than the threshold are used as maintenance edges. The maintenance edges in the power equipment recovery optimization path are repaired along the way, and the remaining maintenance edges are independently repaired after completing the maintenance plan of the power equipment recovery optimization path.

6. A power equipment fault recovery path planning system, It is characterized in that It includes a power equipment communication network model building module, a restoration basic path planning module, a communication link failure prediction module, a power equipment aging assessment module, and a restoration basic path optimization module; The power equipment communication network model building module is used to collect power equipment communication link data and build a power equipment communication network model based on the power equipment communication link data; The basic restoration path planning module is used to collect real-time fault data of power equipment and input the real-time fault data of power equipment into the power equipment communication network model, and the power equipment communication network model outputs the basic restoration planning path of the power equipment; The communication link failure prediction module is used to collect historical failure data of the communication link of the power equipment, and to construct a communication link failure prediction model for the power equipment. The historical failure data of the communication link of the power equipment is input into the model for training to obtain a trained communication link failure prediction model for the power equipment. The communication link failure prediction model for the power equipment outputs a failure coefficient of each communication link. The power equipment aging assessment module is used to collect the operating status data of the power equipment and calculate the power equipment aging degree coefficient based on the operating status data of the power equipment; The restoration basic path optimization module is used to optimize the power equipment restoration basic planning path through the failure coefficient of the communication link and the aging coefficient of the power equipment to obtain the final restoration planning path; The power equipment communication network model comprises a plurality of nodes and edges, wherein the nodes in the power equipment communication network model represent power equipment, and the edges represent communication links between power equipment; According to the real-time fault data of the power equipment, the node corresponding to the faulty power equipment is used as the target point; Calculate restoration priority of failed power equipment , as shown in the following formula: in: Indicates the no-load loss of power equipment; Indicates the utilization rate of power equipment; Indicates the load loss of the power equipment; Indicates the power cost of electric equipment; Indicates the upper limit of the service life of the power equipment; Indicates that the power equipment is used until Year; represents the power cost growth rate; represents the weighted average cost of capital; represents the cost of electrical equipment; The restoration priority of each faulty power equipment is calculated by the above formula, and the faulty power equipment with the highest priority is selected as the starting point; Calculate the maintenance cost of all faulty power equipment except the starting point, combine the restoration priority and maintenance cost of each faulty power equipment except the starting point to obtain the comprehensive cost of each faulty power equipment, and select the node corresponding to the faulty power equipment with the lowest comprehensive cost as the next starting point; Repeat the above steps until all faulty power equipment is restored, completing the basic planning path for power equipment restoration.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the program, the method according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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