Risk assessment method and system for operation state of lightning conductor of extra-high voltage line

Abstract

The invention discloses an extra-high voltage line lightning conductor operation state risk assessment method and system, and particularly relates to the technical field of lightning conductor risk assessment, and the technical key points are as follows: obtaining a plurality of first transient current waveforms of an extra-high voltage line in different strong magnetic field environments, and extracting first data features to construct a feature data set; inputting the line information, the environment information and the feature data set into an initial state sensing factor calculation function to obtain an initial state sensing factor; optimizing an initial state sensing factor calculation function by using the feature data set and the initial state sensing factors in different strong magnetic field environments; acquiring a plurality of second transient current waveforms of the to-be-evaluated ultra-high voltage line in the current strong magnetic field environment, extracting second data features, and inputting the second data features into the optimized state sensing factor calculation function to calculate and obtain a current state sensing factor; and performing operation state evaluation on the lightning conductor of the extra-high voltage line by using the operation state risk evaluation factor to obtain a state risk evaluation result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lightning protection line risk assessment, and particularly relates to a method and system for evaluating the operating state risk of a lightning protection line of an ultra-high voltage line. BACKGROUND

[0002] The Sichuan-Chongqing 1000kV ultra-high voltage alternating current project provides an important guarantee for stable and reliable power supply to support the industry, commerce and residential life of the Chengdu-Chongqing economic circle. As an important lightning protection device of the ultra-high voltage transmission line, the safe and stable operation of the lightning protection line is directly related to the power supply reliability of the power grid system. The lightning protection line of the ultra-high voltage line has been serving in a strong magnetic field and a strong electric field environment for a long time. Under the action of lightning pulses, the transient current monitoring device of the lightning protection line is affected by the strong magnetic field and the strong electric field, resulting in a decrease in monitoring accuracy, which directly affects the effectiveness of the operating state risk assessment of the lightning protection line and threatens the safe and stable operation of the ultra-high voltage line. In addition, the ultra-high voltage line in Sichuan and Chongqing passes through the plateau and mountainous areas. The complex and harsh climate environment of high altitude, low temperature, strong ultraviolet rays and snow and frost will significantly accelerate the aging process of the lightning protection line. Therefore, it is extremely important to carry out operating state risk assessment on the lightning protection line of the ultra-high voltage line.

[0003] At present, the risk assessment of lightning protection lines at home and abroad mainly measures the insulation resistance between the lightning protection line and the grounding device, tests the thermal stress, and manually observes surface cracks or defects. There is no related research on the operating state risk assessment method of the lightning protection line of the ultra-high voltage line considering the strong magnetic field environment. SUMMARY

[0004] The technical problem to be solved by the present application is that the existing lightning protection line risk assessment does not consider the strong magnetic field environment, resulting in inaccurate assessment results. The purpose is to provide a method and system for evaluating the operating state risk of a lightning protection line of an ultra-high voltage line. By constructing a simulation model of the ultra-high voltage line, data characteristics of the ultra-high voltage line under different strong magnetic field environments are obtained to construct a feature data set under the influence of different strong magnetic field environments. The initial state perception factor calculation function is iteratively optimized using the feature data set, so that the optimized state perception factor calculation function can calculate the state perception factor considering the strong magnetic field environment. Therefore, the operating service risk of the lightning protection line of the ultra-high voltage line under the strong magnetic field environment can be effectively evaluated, and the safe and reliable operation of the ultra-high voltage line is ensured.

[0005] The present application is implemented by the following technical solutions: A method for evaluating the operating state risk of a lightning protection line of an ultra-high voltage line, the method comprising: obtaining a plurality of first transient current waveforms of the ultra-high voltage line under different strong magnetic field environments, and extracting first data characteristics of each of the plurality of first transient current waveforms to construct a feature data set; the different strong magnetic field environments refer to different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents; An initial state perception factor calculation function is constructed, and line information and environmental information of the UHV line are obtained, and the line information, the environmental information and a feature data set are input into the initial state perception factor calculation function to obtain the initial state perception factor under different strong magnetic field environments; The initial state perception factor calculation function is optimized by using the feature data set and the initial state perception factor under different strong magnetic field environments to obtain an optimized state perception factor calculation function; A plurality of second transient current waveforms under the current strong magnetic field environment of the UHV line to be evaluated are obtained, and second data features of the plurality of second transient current waveforms are extracted, and the plurality of second data features are input into the optimized state perception factor calculation function to calculate a current state perception factor; A lightning arrester limit pulse reference value is obtained, and a running state risk evaluation factor is calculated in combination with the current state perception factor, and the UHV line lightning arrester is evaluated in running state by using the running state risk evaluation factor to obtain a state risk evaluation result.

[0006] Further, a plurality of first transient current waveforms of the UHV line under different strong magnetic field environments are obtained, and first data features of the plurality of first transient current waveforms are extracted to construct a feature data set, specifically: A UHV line simulation model including two lightning arresters and three transmission lines is constructed, one of the lightning arresters into which a lightning pulse current is injected is taken as a first lightning arrester, and the other lightning arrester is taken as a second lightning arrester; The UHV line simulation model is used to obtain a plurality of first transient current waveforms of the first lightning arrester and the second lightning arrester, a plurality of first transient current waveforms of a grounding lead close to a lightning stroke pulse current injection position, and a plurality of magnetic induction intensity change curves of the three transmission lines under different strong magnetic field environments, and the plurality of magnetic induction intensity change curves are decoupled to calculate a plurality of first transient current waveforms; The amplitudes of the plurality of first transient current waveforms are extracted to construct the feature data set.

[0007] Further, the line information includes an average height of the lightning arrester to the ground, a conductor radius of the lightning arrester, a total length of a grounding conductor of the grounding device, a burial depth of the grounding device, a diameter of the grounding conductor of the grounding device, a tower span, a tower height, an equivalent inductance per unit length of the tower, a horizontal distance between the lightning arrester and the transmission line, and a vertical distance between the lightning arrester and the transmission line; and the environmental information includes an average temperature of the environment.

[0008] Further, the initial state perception factor calculation function is constructed, specifically:

[0009] wherein, Represents the initial state perception factor; Indicates the average ambient temperature; , , gamma All represent Gaussian error coefficients; , These represent the amplitudes of the transient current waveforms corresponding to the second lightning protection wire and the grounding lead, respectively. Indicates the total length of the grounding conductor of the grounding device; Indicates the burial depth of the grounding device; Indicates the diameter of the grounding conductor of the grounding device; eta , theta Both represent the shape factor of the lightning pulse current; Represents a time variable; lambda Represents the integral variable; This represents the equivalent inductance per unit length of the tower; Indicates the height of the tower; Indicates the permeability of free space; This indicates the average height of the first lightning protection wire above the ground; Indicates the conductor radius of the first lightning protection wire; Indicates relative permeability; , , Indicates the weighting factor; , , These represent the amplitudes of the transient current waveforms corresponding to the three transmission lines, respectively. , , These represent the horizontal distances between the first lightning protection wire and the three transmission lines, respectively. This indicates the vertical distance between the first lightning protection wire and the transmission line.

[0010] Furthermore, the initial state sensing factor calculation function is optimized using the feature dataset and initial state sensing factors under different strong magnetic field environments, resulting in the optimized state sensing factor calculation function. Specifically: By utilizing the amplitude of multiple transient current waveforms of the lightning protection wire under different strong magnetic field environments, as well as the initial state sensing factor under different strong magnetic field environments, the Gaussian error coefficient in the initial state sensing factor calculation function is iteratively optimized until the termination condition is met, thus obtaining the optimal solution of the Gaussian error coefficient. The optimal solution of the Gaussian error coefficients is input into the initial state perception factor calculation function to obtain the optimized state perception factor calculation function.

[0011] Furthermore, the baseline value of the lightning protection wire's limit pulse is obtained, and the operational status risk assessment factor is calculated by combining it with the current status perception factor. Specifically: ;in, Indicates operational status risk assessment factors; This indicates the reference value for the limit pulse of the lightning protection wire; This represents the current state perception factor.

[0012] This invention also provides a risk assessment system for the operating status of lightning protection wires on ultra-high voltage power lines. This system is used in any of the above-described methods for assessing the operating status of lightning protection wires on ultra-high voltage power lines, and the system includes: The feature dataset construction module is used to acquire multiple first transient current waveforms of UHV lines under different strong magnetic field environments, and extract the first data features of each of the multiple first transient current waveforms to construct a feature dataset; the different strong magnetic field environments refer to the different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents; The state perception factor calculation module is used to construct the initial state perception factor calculation function and obtain the line information and environmental information of the UHV line. The line information, environmental information and feature dataset are input into the initial state perception factor calculation function to obtain the initial state perception factor under different strong magnetic field environments. The calculation function optimization module is used to optimize the initial state sensing factor calculation function using the feature dataset and the initial state sensing factor under different strong magnetic field environments, so as to obtain the optimized state sensing factor calculation function. The state perception factor calculation module is also used to obtain multiple second transient current waveforms under the current strong magnetic field environment of the UHV line to be evaluated, extract the second data features of each of the multiple transient current waveforms, and input the multiple second data features into the optimized state perception factor calculation function to calculate the current state perception factor. The status risk assessment module is used to obtain the reference value of the lightning protection line's limit pulse, calculate the operation status risk assessment factor by combining it with the current status perception factor, and use the operation status risk assessment factor to assess the operation status of the UHV line's lightning protection line to obtain the status risk assessment result.

[0013] This invention also provides a risk assessment device for the operating status of lightning protection wires of ultra-high voltage power lines. This device is used in any of the above-described methods for risk assessment of the operating status of lightning protection wires of ultra-high voltage power lines. The device includes: A control processing module, connected to a data acquisition and transmission module, is used to receive monitoring data transmitted by the data acquisition and transmission module and to assess the operational risk of the UHV line's lightning protection wires based on the monitoring data. The monitoring data includes transient current waveforms of the UHV line under different strong magnetic field environments, line information of the UHV line, and environmental information. A current monitoring module is installed on two lightning protection wires and three transmission lines in the ultra-high voltage line to collect the transient current waveform of each lightning protection wire and the magnetic induction intensity change curve of each transmission line. Temperature monitoring module, which is installed on multiple towers in the UHV line, is used to collect ambient temperature data for each tower. The data acquisition and transmission module is connected to the control processing module, the current monitoring module, and the temperature monitoring module, respectively. It is used to receive the monitoring data collected by the current monitoring module and the temperature monitoring module, and transmit the monitoring data to the control processing module.

[0014] The present invention also provides a computer device, including a system memory and a processor, wherein the system memory stores a computer program, and the processor executes the computer program to implement the steps of any of the methods described above.

[0015] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods described above.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: In this invention, a simulation model of an ultra-high voltage (UHV) line is constructed to obtain data characteristics of the UHV line under different strong magnetic field environments, thereby constructing a feature dataset under the influence of different strong magnetic field environments. The initial state perception factor calculation function is then iteratively optimized using this feature dataset, so that the optimized state perception factor calculation function can calculate the state perception factor under the consideration of the strong magnetic field environment. This enables an effective assessment of the operational and service risks of UHV line lightning arresters under strong magnetic field environments, thereby ensuring the safe and reliable operation of UHV lines. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings: Figure 1 This is a schematic diagram of the module connection of a risk assessment device for the operation status of a lightning protection wire of an ultra-high voltage line in this embodiment; Figure 2 This is a schematic diagram of the process flow for a method of risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines in this embodiment; Figure 3This is a schematic diagram of the module connection of a risk assessment system for the operation status of lightning protection wires of ultra-high voltage lines in this embodiment; Figure 4 This is a schematic diagram of the structure of a computer device in this embodiment. Detailed Implementation

[0018] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0019] In this disclosure, unless otherwise stated, the use of terms such as "first," "second," etc., to describe various elements is not intended to define the positional, temporal, or importance relationships of these elements; such terms are merely used to distinguish one element from another. In some examples, the first element and the second element may refer to the same instance of that element, while in other cases, based on the context, they may refer to different instances.

[0020] The terminology used in the description of the various examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context explicitly indicates otherwise, an element may be one or more unless the number of elements is specifically limited. Furthermore, the term "and / or" as used in this disclosure covers any one of the listed items and all possible combinations thereof.

[0021] Example 1 In this embodiment, see Figure 1 , Figure 1A schematic diagram of the module connection of a risk assessment device for the operation status of a UHV line lightning protection wire is shown. This device is used in the risk assessment method for the operation status of a UHV line lightning protection wire described in this embodiment. The device includes: a control processing module, which is connected to a data acquisition and transmission module, for receiving monitoring data transmitted by the data acquisition and transmission module, and assessing the risk of the operation status of the UHV line lightning protection wire based on the monitoring data; the monitoring data includes transient current waveforms of the UHV line under different strong magnetic field environments, line information of the UHV line, and environmental information; it should be noted that in this embodiment, the control processing module is a host computer, which can be a computer device or a mobile terminal. The mobile terminal can be a mobile phone, but in this embodiment it is not limited to a mobile phone. It can also be any mobile terminal that needs to perform communication and current carrying capacity assessment, such as a tablet computer (PAD), portable communication device, etc. In addition, the computer device can be a desktop computer, but in this embodiment it is not limited to a desktop computer.

[0022] The current monitoring module is installed on two lightning protection wires and three transmission lines in the UHV line. It is used to collect the transient current waveform of each lightning protection wire and the magnetic induction intensity change curve of each transmission line. It should be noted that in this embodiment, the current monitoring module uses five non-contact current monitoring devices. In other embodiments, other current monitoring devices may be used, and no further restrictions are imposed here.

[0023] A temperature monitoring module is installed on multiple towers in the UHV line to collect ambient temperature data for each tower. It should be noted that in this embodiment, the temperature monitoring module uses a wireless temperature sensing device, and the number of devices depends on the actual situation. In other embodiments, other temperature monitoring devices can also be used, and there are no major restrictions on storage.

[0024] The data acquisition and transmission module is connected to the control processing module, the current monitoring module, and the temperature monitoring module, respectively. It is used to receive the monitoring data collected by the current monitoring module and the temperature monitoring module, and transmit the monitoring data to the control processing module.

[0025] See Figure 2 , Figure 2 A flowchart illustrating a method for risk assessment of the operational status of lightning protection wires on ultra-high voltage power lines is shown. The method includes: S1: Obtain multiple first transient current waveforms of the UHV line under different strong magnetic field environments, and extract the first data features of each of the multiple first transient current waveforms to construct a feature dataset; the different strong magnetic field environments refer to the different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents; Specifically, in this embodiment, a simulation model of an ultra-high voltage (UHV) line, comprising two lightning protection wires and three transmission lines, is first constructed. One lightning protection wire injected with lightning pulse current is designated as the first lightning protection wire, and the other lightning protection wire is designated as the second lightning protection wire. Using the UHV line simulation model, multiple first transient current waveforms of the first and second lightning protection wires, multiple first transient current waveforms of the grounding lead near the lightning pulse current injection location, and multiple magnetic induction intensity variation curves of the three transmission lines are obtained. These magnetic induction intensity variation curves are then decoupled and calculated to obtain multiple first transient current waveforms. The amplitudes of each of the multiple first transient current waveforms are extracted to construct a feature dataset. It should be noted that, in this embodiment, the constructed UHV line simulation model includes two lightning protection wires, three transmission lines (phase A, phase B, and phase C, respectively), and multiple towers. By constructing the UHV line simulation model, a lightning pulse current is injected into one of the lightning protection wires to simulate the UHV line under different strong magnetic field environments, resulting in multiple first transient current waveforms. One of the lightning protection wires injected with the lightning pulse current is designated as the first lightning protection wire, and the other lightning protection wire is designated as the second lightning protection wire. Simultaneously, the line voltage under different strong magnetic field environments does not exceed 1.1 times the power frequency voltage. The model simulation method is a conventional technique in this field and will not be elaborated further here.

[0026] S2: Construct the initial state sensing factor calculation function, and obtain the line information and environmental information of the UHV line. Input the line information, environmental information and feature dataset into the initial state sensing factor calculation function to obtain the initial state sensing factor under different strong magnetic field environments. Specifically, in this embodiment, the initial state perception factor calculation function is first constructed as follows:

[0027] in, Represents the initial state perception factor; Indicates the average ambient temperature; , , gamma All represent Gaussian error coefficients; , These represent the amplitudes of the transient current waveforms corresponding to the second lightning protection wire and the grounding lead, respectively. Indicates the total length of the grounding conductor of the grounding device; Indicates the burial depth of the grounding device; Indicates the diameter of the grounding conductor of the grounding device; eta , theta Both represent the shape factor of the lightning pulse current; Represents a time variable;lambda Represents the integral variable; This represents the equivalent inductance per unit length of the tower; Indicates the height of the tower; Indicates the permeability of free space; This indicates the average height of the first lightning protection wire above the ground; Indicates the conductor radius of the first lightning protection wire; Indicates relative permeability; , , Indicates the weighting factor; , , These represent the amplitudes of the transient current waveforms corresponding to phase A, phase C, and phase B transmission lines, respectively. , , These represent the horizontal distances between the first lightning protection wire and the A-phase transmission line, C-phase transmission line, and B-phase transmission line, respectively. This indicates the vertical distance between the first lightning protection wire and the transmission line.

[0028] It should be noted that, in this embodiment, the obtained UHV line information includes: the average height of the lightning protection wire to the ground, the conductor radius of the lightning protection wire, the total length of the grounding conductor of the grounding device, the burial depth of the grounding device, the diameter of the grounding conductor of the grounding device, the tower span, the tower height, the equivalent inductance per unit length of the tower, the horizontal distance between the lightning protection wire and the transmission line, and the vertical distance between the lightning protection wire and the transmission line; the environmental information includes the average ambient temperature.

[0029] S3: Optimize the initial state sensing factor calculation function using the feature dataset and the initial state sensing factor under different strong magnetic field environments to obtain the optimized state sensing factor calculation function. Specifically, in this embodiment, the amplitudes of multiple transient current waveforms of the lightning protection wire under different strong magnetic field environments, as well as the initial state sensing factors under different strong magnetic field environments, are used to iteratively optimize the Gaussian error coefficient in the initial state sensing factor calculation function until the termination condition is met, thus obtaining the optimal solution of the Gaussian error coefficient. The optimal solution of the Gaussian error coefficient is then input into the initial state sensing factor calculation function to obtain the optimized state sensing factor calculation function.

[0030] It should be noted that in this embodiment, the amplitudes of multiple transient current waveforms of the lightning protection wire under different strong magnetic field environments are used, combined with the initial state sensing factor of the lightning protection wire under different strong magnetic field environments, to iteratively optimize the Gaussian error coefficient in the initial state sensing factor calculation function. Specifically, a set of initial solutions is randomly generated. alpha, beta, gamma Establish fitness function ,in, Imi For the first i The amplitude of the transient current waveform of the lightning protection wire to be evaluated under a strong magnetic field environment. I ji For the first i The state perception factors of the lightning protection wire to be evaluated under a strong magnetic field environment; and then based on the current solution alpha, beta, gamma Using the position update rules of the particle swarm optimization algorithm, a new set of perturbation solutions, i.e., Gaussian error coefficients, is calculated. alpha', beta', gamma' and judge F ( α' , β' , gamma' Does it satisfy? F ( α' , β' , gamma' )≥ F ( α , β , gamma If satisfied, then alpha, beta, gamma As a new solution; if not satisfied, then alpha', beta', gamma' As a new solution; determine if the termination condition is met. If it is met, the operation ends and the optimal solution is output. α 0 、β 0 gamma 0, otherwise return to continue iterative optimization; it should be noted that, in this embodiment, the termination condition is that the number of iterations reaches a preset maximum value. T max or F ( α' , β' , gamma' )- F ( α , β , gamma )< , T max and The values ​​are determined based on the actual situation and will not be elaborated on here. Then, the optimal solution of the Gaussian error coefficients is substituted into the initial state perception factor calculation function for optimization, resulting in the optimized state perception factor calculation function, as follows:

[0031] S4: Obtain multiple second transient current waveforms under the current strong magnetic field environment of the UHV line to be evaluated, extract the second data features of each of the multiple transient current waveforms, and input the multiple second data features into the optimized state perception factor calculation function to calculate the current state perception factor. It should be noted that, in this embodiment, the second transient current waveform of the lightning protection wire to be evaluated, the second transient current waveform of the grounding lead near the lightning pulse current injection location, and the magnetic induction intensity change curves of the three transmission lines are obtained under the current actual strong magnetic field environment of the UHV line to be evaluated. Then, multiple second transient current waveforms are obtained by decoupling multiple magnetic induction intensity change curves, and the amplitude of each of the multiple second transient current waveforms is extracted. At the same time, the average ambient temperature and line information of the UHV line are obtained. The amplitude of the second transient current waveform, the average ambient temperature and line information of the UHV line are input into the optimized state perception factor calculation function according to the evaluation object to calculate the current state perception factor.

[0032] S5: Obtain the reference value of the lightning protection line's limit pulse, calculate the operation status risk assessment factor by combining it with the current status perception factor, and use the operation status risk assessment factor to assess the operation status of the UHV line's lightning protection line to obtain the status risk assessment result.

[0033] Specifically, in this embodiment, the reference value of the lightning protection wire's limit pulse is obtained, and the operational status risk assessment factor is calculated by combining it with the current status perception factor. ;in, Indicates operational status risk assessment factors; This indicates the reference value for the limit pulse of the lightning protection wire; This represents the current state perception factor.

[0034] It should be noted that, in this embodiment, when chi When (0, 0.6703), it indicates that the lightning protection wire is in excellent operating condition; when chi When the value is (0.6703, 0.99), it indicates that the lightning protection wire is in good operating condition and the frequency of operation and maintenance needs to be increased; when chi When the value is (0.99, +∞), it indicates that the lightning protection wire is in poor condition and needs to be inspected or replaced.

[0035] Specifically, in this embodiment, a simulation model of the UHV line is constructed to obtain data characteristics of the UHV line under different strong magnetic field environments, so as to construct a feature dataset under the influence of strong magnetic field environment; and the initial state perception factor calculation function is iteratively optimized using this feature dataset, so that the optimized state perception factor calculation function can calculate the state perception factor under the consideration of strong magnetic field environment, thereby realizing the effective assessment of the operation and service risk of UHV line lightning protection wire under strong magnetic field environment, and thus ensuring the safe and reliable operation of UHV line.

[0036] Example 2 SeeFigure 3 The present invention also provides a risk assessment system for the operating status of lightning protection wires of ultra-high voltage power lines. This system is used in any of the above-described methods for risk assessment of the operating status of lightning protection wires of ultra-high voltage power lines, and the system includes: The feature dataset construction module 100 is used to acquire multiple first transient current waveforms of UHV lines under different strong magnetic field environments, and extract the first data features of each of the multiple first transient current waveforms to construct a feature dataset; the different strong magnetic field environments refer to the different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents. The state perception factor calculation module 200 is used to construct the initial state perception factor calculation function and obtain the line information and environmental information of the UHV line. The line information, environmental information and feature dataset are input into the initial state perception factor calculation function to obtain the initial state perception factor under different strong magnetic field environments. The calculation function optimization module 300 is used to optimize the initial state sensing factor calculation function using the feature dataset and the initial state sensing factor under different strong magnetic field environments, so as to obtain the optimized state sensing factor calculation function. The state perception factor calculation module 200 is also used to acquire multiple second transient current waveforms under the current strong magnetic field environment of the UHV line to be evaluated, extract the second data features of each of the multiple transient current waveforms, and input the multiple second data features into the optimized state perception factor calculation function to calculate the current state perception factor. The status risk assessment module 400 is used to obtain the reference value of the lightning protection line's limit pulse, calculate the operation status risk assessment factor by combining it with the current status perception factor, and use the operation status risk assessment factor to assess the operation status of the UHV line's lightning protection line to obtain the status risk assessment result.

[0037] It should be noted that the modules in the system of Embodiment 2 correspond to the steps in the method of Embodiment 1. The steps in the method of Embodiment 1 have been described in detail in Embodiment 1, and the module content in the system will not be described in detail in this Embodiment 2.

[0038] Example 3 This embodiment also provides a computer device, including a system memory 1005 and a processor 1001. The system memory 1005 stores a computer program, and the processor 1001 executes the computer program to implement the steps of any of the methods described above.

[0039] It should be noted that the processor 1001 is used to execute the steps in the above method embodiments according to the instructions in the program code. Alternatively, when the processor 1001 executes the computer program, it implements the functions of each module / unit in the above system / device embodiments.

[0040] Specifically, in this embodiment, the computer program can be divided into one or more modules / units. One or more modules / units are stored in the system memory 1005 and executed by the processor 1001 to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0041] The terminal device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor 1001 and a system memory 1005. Those skilled in the art will understand that this does not constitute a limitation on the terminal device, which may include more or fewer components than shown, or a combination of certain components, or different components. For example, the terminal device may also include an input / output device 1003, a network access device 1002, a bus 1006, etc.

[0042] The processor 1001 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0043] System memory 1005 can be an internal storage unit of the terminal device, such as a hard drive or RAM. System memory 1005 can also be a storage device 1004 of the terminal device, such as an external hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or FlashCard. Furthermore, system memory 1005 can include both internal storage units and storage device 1004. System memory 1005 is used to store computer programs and other programs and data required by the terminal device. System memory 1005 can also be used to temporarily store data that has been output or will be output.

[0044] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0045] Example 4 This embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0046] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), registers, hard disks, optical fibers, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof, or any other form of computer-readable storage medium in the art.

[0047] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside within an application-specific integrated circuit (ASIC). In embodiments of the invention, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device.

[0048] Example 5 This embodiment also provides a computer program product containing instructions that, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method described in Embodiment 1.

[0049] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines, characterized in that, The methods include: Multiple first transient current waveforms of ultra-high voltage lines under different strong magnetic field environments are obtained, and the first data features of each of the multiple first transient current waveforms are extracted to construct a feature dataset; The different strong magnetic field environments refer to the different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents. An initial state sensing factor calculation function is constructed, and the line information and environmental information of the UHV line are obtained. The line information, environmental information and feature dataset are input into the initial state sensing factor calculation function to obtain the initial state sensing factor under different strong magnetic field environments. The initial state sensing factor calculation function is optimized by using the feature dataset and the initial state sensing factor under different strong magnetic field environments, resulting in the optimized state sensing factor calculation function. Multiple second transient current waveforms of the UHV line to be evaluated under the current strong magnetic field environment are obtained, and the second data features of each of the multiple transient current waveforms are extracted. The multiple second data features are input into the optimized state perception factor calculation function to calculate the current state perception factor. The baseline value of the lightning protection line's limit pulse is obtained, and the operational status risk assessment factor is calculated by combining it with the current status perception factor. The operational status risk assessment factor is then used to assess the operational status of the UHV line's lightning protection line, and the operational status risk assessment result is obtained.

2. The method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines according to claim 1, characterized in that, Multiple first transient current waveforms of ultra-high voltage (UHV) transmission lines under different strong magnetic field environments are obtained, and the first data features of each first transient current waveform are extracted to construct a feature dataset, specifically: A simulation model of an ultra-high voltage line containing two lightning protection wires and three transmission lines was constructed. One of the lightning protection wires injected with lightning pulse current was designated as the first lightning protection wire, and the other lightning protection wire was designated as the second lightning protection wire. Using a simulation model of an ultra-high voltage line, multiple first transient current waveforms of the first and second lightning protection wires, multiple first transient current waveforms of the grounding lead near the lightning pulse current injection location, and multiple magnetic induction intensity variation curves of the three transmission lines were obtained. Multiple first transient current waveforms were obtained by decoupling and calculating the multiple magnetic induction intensity variation curves. The amplitudes of multiple first transient current waveforms are extracted to construct a feature dataset.

3. The method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines according to claim 1, characterized in that, Line information includes: average height of the lightning protection wire to the ground, conductor radius of the lightning protection wire, total length of the grounding conductor of the grounding device, burial depth of the grounding device, diameter of the grounding conductor of the grounding device, tower span, tower height, equivalent inductance per unit length of the tower, horizontal distance between the lightning protection wire and the transmission line, and vertical distance between the lightning protection wire and the transmission line; environmental information includes average ambient temperature.

4. The method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines according to claim 2, characterized in that, Construct the initial state perception factor calculation function as follows: in, Represents the initial state perception factor; Indicates the average ambient temperature; , , γ All represent Gaussian error coefficients; , These represent the amplitudes of the transient current waveforms corresponding to the second lightning protection wire and the grounding lead, respectively. Indicates the total length of the grounding conductor of the grounding device; Indicates the burial depth of the grounding device; Indicates the diameter of the grounding conductor of the grounding device; η , θ Both represent the shape factor of the lightning pulse current; Represents a time variable; λ Represents the integral variable; This represents the equivalent inductance per unit length of the tower; Indicates the height of the tower; Indicates the permeability of free space; This indicates the average height of the first lightning protection wire above the ground; Indicates the conductor radius of the first lightning protection wire; Indicates relative permeability; , , Indicates the weighting factor; , , These represent the amplitudes of the transient current waveforms corresponding to the three transmission lines, respectively. , , These represent the horizontal distances between the first lightning protection wire and the three transmission lines, respectively. This indicates the vertical distance between the first lightning protection wire and the transmission line.

5. The method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines according to claim 4, characterized in that, The initial state sensing factor calculation function is optimized using a feature dataset and initial state sensing factors under different strong magnetic field environments, resulting in an optimized state sensing factor calculation function. Specifically: By utilizing the amplitude of multiple transient current waveforms of the lightning protection wire under different strong magnetic field environments, as well as the initial state sensing factor under different strong magnetic field environments, the Gaussian error coefficient in the initial state sensing factor calculation function is iteratively optimized until the termination condition is met, thus obtaining the optimal solution of the Gaussian error coefficient. The optimal solution of the Gaussian error coefficients is input into the initial state perception factor calculation function to obtain the optimized state perception factor calculation function.

6. The method for risk assessment of the operating status of lightning protection wires for ultra-high voltage power lines according to claim 4, characterized in that, Obtain the baseline value of the lightning protection wire's extreme pulse, and calculate the operational status risk assessment factor by combining it with the current status perception factor. Specifically: ;in, Indicates operational status risk assessment factors; This indicates the reference value for the limit pulse of the lightning protection wire; This represents the current state perception factor.

7. A risk assessment system for the operational status of lightning protection wires on ultra-high voltage power lines, characterized in that, This system is used in the risk assessment method for the operating status of lightning protection wires of ultra-high voltage power lines as described in any one of claims 1-6, wherein the system comprises: The feature dataset construction module is used to acquire multiple first transient current waveforms of UHV lines under different strong magnetic field environments, and extract the first data features of each of the multiple first transient current waveforms to construct a feature dataset; the different strong magnetic field environments refer to the different comprehensive strong magnetic field environments generated under the combined action of lightning pulse current and different line currents; The state perception factor calculation module is used to construct the initial state perception factor calculation function and obtain the line information and environmental information of the UHV line. The line information, environmental information and feature dataset are input into the initial state perception factor calculation function to obtain the initial state perception factor under different strong magnetic field environments. The calculation function optimization module is used to optimize the initial state sensing factor calculation function using the feature dataset and the initial state sensing factor under different strong magnetic field environments, so as to obtain the optimized state sensing factor calculation function. The state perception factor calculation module is also used to obtain multiple second transient current waveforms under the current strong magnetic field environment of the UHV line to be evaluated, extract the second data features of each of the multiple transient current waveforms, and input the multiple second data features into the optimized state perception factor calculation function to calculate the current state perception factor. The status risk assessment module is used to obtain the reference value of the lightning protection line's limit pulse, calculate the operation status risk assessment factor by combining it with the current status perception factor, and use the operation status risk assessment factor to assess the operation status of the UHV line's lightning protection line to obtain the status risk assessment result.

8. A risk assessment device for the operating status of lightning protection wires of ultra-high voltage power lines, characterized in that, This device is used in the risk assessment method for the operating status of lightning protection wires of ultra-high voltage power lines as described in any one of claims 1-6. The device includes: A control processing module, connected to a data acquisition and transmission module, is used to receive monitoring data transmitted by the data acquisition and transmission module and to assess the operational risk of the UHV line's lightning protection wires based on the monitoring data. The monitoring data includes transient current waveforms of the UHV line under different strong magnetic field environments, line information of the UHV line, and environmental information. A current monitoring module is installed on two lightning protection wires and three transmission lines in the ultra-high voltage line to collect the transient current waveform of each lightning protection wire and the magnetic induction intensity change curve of each transmission line. Temperature monitoring module, which is installed on multiple towers in the UHV line, is used to collect ambient temperature data for each tower. The data acquisition and transmission module is connected to the control processing module, the current monitoring module, and the temperature monitoring module, respectively. It is used to receive the monitoring data collected by the current monitoring module and the temperature monitoring module, and transmit the monitoring data to the control processing module.

9. A computer device comprising a system memory and a processor, wherein the system memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method described in any one of claims 1 to 6.

Images