A method, system, medium, and equipment for assessing the lightning strike risk of power transmission lines.

Abstract

This invention relates to the field of power equipment risk assessment technology, and discloses a method, system, medium, and equipment for assessing lightning strike risk of transmission lines. The method includes: acquiring three-dimensional laser point cloud data and lightning statistics data of the transmission line; the three-dimensional laser point cloud data includes the geometric parameters of the towers and the terrain parameters of the tower locations; correcting the tower attraction range according to the terrain correction coefficients corresponding to the geometric and terrain parameters; determining the transmission line tripping rate based on the corrected tower attraction range and lightning statistics data; and determining the lightning strike risk level of the transmission line based on the transmission line tripping rate. This invention improves the accuracy and reliability of risk assessment by integrating multi-source data, and achieves effective management of lightning strike risk of transmission lines.

Description

Technical Field

[0001] This invention relates to the field of power equipment risk assessment technology, and in particular to a method, system, medium and equipment for assessing lightning strike risk of transmission lines. Background Technology

[0002] Lightning strikes are one of the main causes of power transmission line tripping, seriously affecting the safe and stable operation of the power grid. Statistics show that 40%-70% of high-voltage transmission line faults are caused by lightning strikes. Lightning mainly occurs in two forms: backflashover and lightning strikes. When lightning directly strikes the ground wire erected above a tower or the nearby ground, the lightning current is conducted to the ground through the down conductor. Due to the resistance and inductance of the conductor, the lightning current generates an extremely high instantaneous voltage in the grounding system. If the tower's grounding resistance is too high or the insulation strength is insufficient, a large potential difference will form across the insulator, causing the insulator to flashover and trip—a phenomenon known as lightning backflashover tripping.

[0003] Existing methods for assessing lightning risk in transmission lines primarily rely on standardized procedures, such as CN102156787B, "Method for Assessing Lightning Flashover Risk in Regional Transmission Lines," which calculates backflashover trip rates based on lightning parameters, tower parameters, topographic parameters, and line parameters. However, this approach fails to reflect the impact of specific micro-topographical and dynamic meteorological factors. Furthermore, CN116579617A, "A Method and System for Power Grid Risk Assessment," calculates the average lightning trip rate for each tower section based on meteorological data, transmission line information, and topographic information. However, this method lacks real-time accuracy and a comprehensive multi-source data fusion mechanism. Summary of the Invention

[0004] Based on this, it is necessary to propose a method, device, medium and equipment for assessing the lightning strike risk of transmission lines to address the above problems.

[0005] A method for assessing the lightning strike risk of power transmission lines, the method comprising:

[0006] Acquire three-dimensional laser point cloud data and lightning statistics of transmission lines. The three-dimensional laser point cloud data includes the geometric parameters of the towers and the terrain parameters of the tower locations.

[0007] The tower attraction range is corrected based on the terrain correction coefficients corresponding to the geometric and terrain parameters, and the transmission line tripping rate is determined based on the corrected tower attraction range and lightning statistics.

[0008] The lightning strike risk level of the transmission line is determined based on the tripping rate of the transmission line.

[0009] The lightning statistics include impulse grounding resistance, annual average flashover density, and lightning current amplitude. The process of correcting the tower attraction range based on the terrain correction coefficients corresponding to geometric and terrain parameters, and determining the transmission line tripping rate based on the corrected tower attraction range and lightning statistics, specifically includes:

[0010] The tower attraction range is corrected based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters, and the corrected tower attraction range is determined.

[0011] Lightning overvoltage simulation was performed on the transmission line to determine the critical lightning current amplitude.

[0012] Determine the probability of a backflashover critical lightning current where the lightning current amplitude is greater than the critical lightning current amplitude;

[0013] The transmission line tripping rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range. The transmission line tripping rate includes the backflashover tripping rate.

[0014] Specifically, the step of correcting the tower attraction range based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters, and determining the corrected tower attraction range, includes:

[0015] according to Determine the attraction range of the tower, where, For the attraction range of the tower, The tower height is a geometric parameter. To reduce the grounding resistance, This is the terrain correction factor.

[0016] Wherein, the backflashover critical lightning current probability of the critical lightning current amplitude is:

[0017] ;

[0018] Where Icrit is the critical lightning current amplitude. I represents the critical lightning current probability for counter-flashover, and I is the lightning current amplitude.

[0019] The step of determining the transmission line tripping rate based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range includes the backflashover tripping rate, specifically:

[0020] according to Determine the back-off trip rate, where, To counter the tripping rate, The annual average lightning density (times / km²·year). For the attraction range of the tower, P(I>I)crit ) represents the critical lightning current probability of counter-flashover.

[0021] Specifically, determining the lightning risk level of a transmission line based on its tripping rate includes:

[0022] The weighting coefficient for the tripping rate of the transmission line is determined based on the current voltage level of the transmission line.

[0023] The overall tripping rate is determined by combining the weighting coefficients and the transmission line tripping rate.

[0024] The lightning risk level of the transmission line is determined based on the matching of the comprehensive tripping rate with the preset risk level range.

[0025] Specifically, determining the weighting coefficient for the tripping rate of the transmission line based on its current voltage level includes:

[0026] according to The weighting coefficients for determining the transmission line tripping rate, which includes the backflashover tripping rate, are determined. , where a0 is the weighting coefficient for the backflashover trip rate, V is the baseline weight for the backflashover trip rate, and V is the line voltage level.

[0027] Specifically, determining the overall tripping rate by combining the weighting coefficients and the transmission line tripping rate includes:

[0028] according to Determine the overall trip rate, where, Here, a(V) is the weighting coefficient for the overall weighting, and a(V) is the weighting coefficient for the counter-attack tripping rate. For environmental weighting factors, f(X) env () is a meteorological environment correction factor.

[0029] A lightning strike risk assessment system for power transmission lines, the system comprising:

[0030] The data acquisition module is used to acquire three-dimensional laser point cloud data and lightning statistics of the transmission line. The three-dimensional laser point cloud data includes the geometric parameters of the tower and the terrain parameters of the tower's location.

[0031] The transmission line tripping rate determination module is used to correct the tower attraction range based on the terrain correction coefficient corresponding to the geometric parameters and terrain parameters, and to determine the transmission line tripping rate based on the corrected tower attraction range and lightning statistics.

[0032] The lightning strike risk level determination module is used to determine the lightning strike risk level of the transmission line based on the tripping rate of the transmission line.

[0033] A computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of the method described above.

[0034] A computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method described above.

[0035] The embodiments of the present invention have the following beneficial effects:

[0036] As described above, 3D laser point cloud data provides precise geometric parameters of transmission line towers and terrain parameters of their locations, enabling accurate acquisition of the tower's 3D shape and surrounding terrain information. Lightning statistics provide detailed information on historical lightning activity, including the frequency and intensity of lightning strikes. By correcting the tower's attraction range using a terrain correction coefficient, the actual attraction range of lightning under terrain influence can be analyzed more accurately, thus improving the accuracy of risk assessment. Based on this, the tripping rate of the transmission line is calculated according to the corrected attraction range and lightning statistics, quantifying the impact of lightning on the transmission line. Finally, the lightning strike risk level is determined based on the transmission line tripping rate, helping maintenance personnel to take timely measures to prevent line faults caused by lightning. In summary, this invention overcomes the limitations of single data sources and static models by integrating multi-source data for comprehensive evaluation, improving the accuracy and reliability of risk assessment and achieving effective management of lightning strike risks for transmission lines. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] in:

[0039] Figure 1 This is a flowchart illustrating an embodiment of a method for assessing the lightning strike risk of transmission lines provided by the present invention.

[0040] Figure 2 This is a flowchart illustrating another embodiment of the lightning strike risk assessment method for power transmission lines provided by the present invention.

[0041] Figure 3 This is a schematic diagram of an embodiment of a power transmission line lightning strike risk assessment system provided by the present invention;

[0042] Figure 4A schematic diagram of the structure of an embodiment of the device provided by the present invention;

[0043] Figure 5 A schematic diagram of the structure of an embodiment of the medium provided by the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] like Figure 1 As shown, Figure 1 This is a flowchart illustrating an embodiment of a method for assessing lightning strike risk of transmission lines provided by the present invention. The method includes:

[0046] S101: Acquire 3D laser point cloud data and lightning statistics of transmission lines. The 3D laser point cloud data includes the geometric parameters of the towers and the terrain parameters of the tower locations.

[0047] In one implementation scenario, three-dimensional laser point cloud data and lightning statistics of a power transmission line are acquired. The three-dimensional laser point cloud data includes the geometric parameters of the tower and the terrain parameters of the tower's location.

[0048] S102: The tower attraction range is corrected according to the terrain correction coefficients corresponding to the geometric parameters and terrain parameters. The transmission line tripping rate is determined based on the corrected tower attraction range and lightning statistics.

[0049] In one implementation scenario, the tower attraction range is corrected based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters to determine the corrected tower attraction range; lightning overvoltage simulation is performed on the transmission line to determine the critical lightning current amplitude; the critical lightning current probability of backflashover when the lightning current amplitude is greater than the critical lightning current amplitude is determined; and the transmission line tripping rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range, including the backflashover tripping rate.

[0050] In another implementation scenario, transmission line tripping rates include backflashover tripping rate and backflashover tripping rate. The tower attraction range can be corrected based on the terrain correction coefficients corresponding to the geometric and terrain parameters. The backflashover tripping rate is then calculated based on the corrected tower attraction range and lightning statistics. Alternatively, the conductor spatial position of the transmission line's electrical geometry model under dynamic wind deflection can be calculated based on meteorological data, along with the dynamic wind deflection correction coefficient for the electrical geometry model. The backflashover tripping rate is then calculated based on the conductor spatial position, the dynamic wind deflection correction coefficient, and lightning statistics.

[0051] Specifically, when calculating the backflashover trip rate, the tower attraction range is corrected based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters to determine the corrected tower attraction range; lightning overvoltage simulation is performed on the transmission line to determine the critical lightning current amplitude; the critical lightning current probability of backflashover when the lightning current amplitude is greater than the critical lightning current amplitude is determined; and the backflashover trip rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range.

[0052] When calculating the tripping rate due to wind shunting, meteorological data for the transmission line is first obtained, including wind amplitude and wind speed. Based on this data, the spatial position of the conductors in the electrical geometric model of the transmission line under the influence of dynamic wind deflection is calculated, along with the dynamic wind deflection correction coefficient for the electrical geometric model. The spatial position of the conductors in the electrical geometric model of the transmission line under the influence of dynamic wind deflection is calculated using the formula shown below:

[0053]

[0054] in, The conductor spatial position in the electrical geometry model under dynamic wind deflection is given by: t = time, where the conductor spatial position changes over time; H = horizontal tension; w = weight per unit length; A = wind deflection amplitude; x = ... The projected coordinates of the conductor on the horizontal plane:

[0055] ;

[0056] Where R(I) is the leader attraction radius corresponding to the lightning current amplitude I. Let K be the polar coordinate angle centered on the tower. proj ( ) represents the terrain projection distortion correction factor.

[0057] The dynamic wind deflection correction factor for the electrical geometry model is calculated using the formula shown below:

[0058]

[0059] in, This represents the dynamic wind deflection correction coefficient for the electrical geometry model. For real-time wind speed, As the reference wind speed, The angle between the wind direction and the line.

[0060] Furthermore, based on the spatial location of the conductor and the equivalent radius of the exposed arc in the rotating coordinate system, the projected area of ​​the exposed arc in the electrical geometry model is determined, as shown in the following formula:

[0061] ;

[0062] in, The starting angle of the exposed arc. The termination angle of the exposed arc, Let r0 be the projected area of ​​the exposed arc in the electrical geometry model, and r0 be the equivalent radius of the conductor in the rotating coordinate system. ,t) represents the spatial position of the conductor in the electrical geometry model under dynamic wind deflection, h g (I) is the leading development level, K curve This is the sag correction factor.

[0063] Furthermore, the probability distribution function of the lightning current amplitude is determined, and the maximum likelihood estimation method is used to correct the probability distribution function of the lightning current amplitude. The corrected probability distribution function is shown in the following equation:

[0064] ;

[0065] Wherein, α is the overall amplitude level control parameter, and β is the lightning current amplitude distribution concentration control parameter. Parameters α and β are updated once per quarter.

[0066] Furthermore, the tripping rate due to lightning strikes is determined based on the terrain correction coefficient, the projected area of ​​the exposed arc, the dynamic wind deflection correction coefficient, the probability distribution function of the corrected lightning current amplitude, and the annual average ground flash density, as shown in the following formula:

[0067] ;

[0068] Among them, I max I is the maximum lightning current amplitude. min This is the minimum lightning current amplitude. For the tripping rate due to the circuit breaker, This represents the annual average ground flash density. For the projected area of ​​the exposed arc, This is the dynamic wind deflection correction factor. is the terrain correction coefficient, and P(I) is the corrected probability distribution function of lightning current amplitude.

[0069] Terrain correction factor The slope calculation is expressed as follows:

[0070]

[0071] J represents the slope angle.

[0072] S103: Determine the lightning risk level of a transmission line based on its tripping rate.

[0073] In one implementation scenario, the weighting coefficient for the transmission line tripping rate is determined based on the current voltage level of the transmission line. Specifically, the voltage level adjustment range for the transmission line is shown in the table below:

[0074]

[0075] Furthermore, the comprehensive tripping rate is determined by combining weighting coefficients and transmission line tripping rates; the lightning risk level of the transmission line is determined based on the matching between the comprehensive tripping rate and the preset risk level range. Specifically, the preset risk level range is constructed using the comprehensive tripping rate, in units of trips / (100km·year).

[0076] The first preset risk level range is [0, 0.05).

[0077] The second preset risk level range is [0.05, 0.15).

[0078] The third preset risk level range is: [0.15, 0.30).

[0079] The fourth preset risk level range is [0.30, +∞).

[0080] If the overall tripping rate is within the first preset risk level range, the lightning strike risk level of the transmission line is Level I (low risk); if the overall tripping rate is within the second preset risk level range, the lightning strike risk level of the transmission line is Level II (moderate risk); if the overall tripping rate is within the third preset risk level range, the lightning strike risk level of the transmission line is Level III (higher risk); if the overall tripping rate is within the fourth preset risk level range, the lightning strike risk level of the transmission line is Level IV (high risk).

[0081] For areas with severe lightning activity (more than 90 thunderstorm days per year), the threshold range between Level III and Level IV is narrowed by 50%.

[0082] For important power transmission corridors (lines that fail the N-1 check), the lightning strike risk level is automatically increased by 1 level.

[0083] Furthermore, based on the preset rule base for matching measures, differentiated lightning protection upgrade strategies corresponding to lightning risk levels I-IV are determined. The rule base for matching measures is shown in the table below:

[0084]

[0085] As described above, 3D laser point cloud data provides precise geometric parameters of transmission line towers and terrain parameters of their locations, enabling accurate acquisition of the tower's 3D shape and surrounding terrain information. Lightning statistics provide detailed information on historical lightning activity, including the frequency and intensity of lightning strikes. By correcting the tower's attraction range using a terrain correction coefficient, the actual attraction range of lightning under terrain influence can be analyzed more accurately, thus improving the accuracy of risk assessment. Based on this, the tripping rate of the transmission line is calculated according to the corrected attraction range and lightning statistics, quantifying the impact of lightning on the transmission line. Finally, the lightning strike risk level is determined based on the transmission line tripping rate, helping maintenance personnel to take timely measures to prevent line faults caused by lightning. In summary, this invention overcomes the limitations of single data sources and static models by integrating multi-source data for comprehensive evaluation, improving the accuracy and reliability of risk assessment and achieving effective management of lightning strike risks for transmission lines.

[0086] like Figure 2 As shown, Figure 2 This is a flowchart illustrating another embodiment of the lightning strike risk assessment method for transmission lines provided by the present invention. The method includes:

[0087] S201: Acquire three-dimensional laser point cloud data and lightning statistics of transmission lines. The three-dimensional laser point cloud data includes the geometric parameters of the towers and the terrain parameters of the tower locations.

[0088] S202: The attraction range of the tower is corrected based on the terrain correction coefficient corresponding to the impulse grounding resistance, geometric parameters and terrain parameters, and the corrected attraction range of the tower is determined.

[0089] In one implementation scenario, geometric parameters include tower height, conductor height, phase-to-phase distance, ground wire height, and insulator string length; terrain parameters include slope, aspect, and relative elevation.

[0090] The attraction range of the tower is determined according to the formula shown below:

[0091] ;

[0092] in, For the attraction range of the tower, The tower height is a geometric parameter. To reduce the grounding resistance, This is the terrain correction factor.

[0093] S203: Perform lightning overvoltage simulation on transmission lines to determine the critical lightning current amplitude.

[0094] S204: Determine the critical lightning current probability of backflashover when the lightning current amplitude is greater than the critical lightning current amplitude.

[0095] In one implementation scenario, the critical lightning current probability for backflashover is shown in the following equation:

[0096] ;

[0097] Among them, I crit This is the critical lightning current amplitude. I represents the critical lightning current probability for counter-flashover, and I is the lightning current amplitude.

[0098] S205: Determine the transmission line tripping rate based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range. The transmission line tripping rate includes the backflashover tripping rate.

[0099] In one implementation scenario, the transmission line tripping rate includes the backflashover tripping rate, which is determined according to the following formula:

[0100] ;

[0101] in, To counter the tripping rate, The annual average lightning density (times / km²·year). For the attraction range of the tower, P(I>I) crit ) represents the critical lightning current probability for counter-flashover.

[0102] In another implementation scenario, the transmission line tripping rate includes the backflashover tripping rate and the backflashover tripping rate. When calculating the backflashover tripping rate, it is determined based on the annual average ground flashover density, the critical lightning current probability for backflashover, and the tower's attraction range.

[0103] When calculating the backflashover trip rate, meteorological data for the transmission line is first obtained, including wind deflection amplitude and wind speed. Based on the meteorological data, the spatial position of the conductor in the electrical geometric model of the transmission line under the influence of dynamic wind deflection is calculated, as well as the dynamic wind deflection correction coefficient of the electrical geometric model. The projected area of ​​the exposed arc in the electrical geometric model is determined according to the conductor spatial position and the equivalent radius of the exposed arc in the rotating coordinate system. The probability distribution function of the lightning current amplitude is determined, and the probability distribution function of the lightning current amplitude is corrected using the maximum likelihood estimation method. The backflashover trip rate is determined based on the terrain correction coefficient, the projected area of ​​the exposed arc, the dynamic wind deflection correction coefficient, the corrected probability distribution function of the lightning current amplitude, and the annual average ground flash density, as shown in the following formula:

[0104] ;

[0105] Among them, I max I is the maximum lightning current amplitude.min This is the minimum lightning current amplitude. For the tripping rate due to the circuit breaker, This represents the annual average ground flash density. For the projected area of ​​the exposed arc, This is the dynamic wind deflection correction factor. is the terrain correction coefficient, and P(I) is the corrected probability distribution function of lightning current amplitude.

[0106] S206: Determine the weighting coefficient of the transmission line tripping rate based on the current voltage level of the transmission line.

[0107] In one implementation scenario, the transmission line trip rate includes the backflashover trip rate, which is the transmission line trip rate. The weighting coefficient of the transmission line trip rate is determined according to the following formula:

[0108] ;

[0109] in, , where a0 is the weighting coefficient for the backflashover trip rate, V is the baseline weight for the backflashover trip rate, and V is the line voltage level.

[0110] In another implementation scenario, the transmission line tripping rate includes backflashover tripping rate and backflashover tripping rate.

[0111] The weighting coefficient for the back-off trip rate is determined according to the following formula:

[0112] ;

[0113] in, , where a0 is the weighting coefficient for the backflashover trip rate, V is the base weight for the backflashover trip rate, and V is the line voltage level.

[0114] The weighting coefficient for the tripping rate due to shunting is determined according to the following formula:

[0115]

[0116] Among them, b is the weighting coefficient for the tripping rate caused by the inrush, b0 is the benchmark weight for the tripping rate caused by the inrush, and V is the line voltage level.

[0117] S207: Determine the overall tripping rate by combining the weighting coefficient and the transmission line tripping rate.

[0118] In one implementation scenario, the transmission line tripping rate includes the backflashover tripping rate, and the overall tripping rate is determined according to the following formula:

[0119] ;

[0120] in, This is the comprehensive weighting coefficient. Let V be the backflashover trip rate, and a(V) be the weighting coefficient for the backflashover trip rate. For environmental weighting factors, f(X) env () is a meteorological environment correction factor.

[0121] In another implementation scenario, the transmission line tripping rate includes backflashover tripping rate and backflashover tripping rate.

[0122] The overall trip rate is determined according to the following formula:

[0123] ;

[0124] Where a(V) is the weighting coefficient for the backflashover tripping rate, and b(V) is the weighting coefficient for the bypass tripping rate. For environmental weighting factors, f(X) env ) is a meteorological environment correction factor. To counter the tripping rate, This refers to the tripping rate due to the circuit breaker.

[0125] S208: Determine the lightning risk level of the transmission line based on the matching of the comprehensive tripping rate and the preset risk level range.

[0126] It should be noted that step S208 is in Figure 1 The implementation scenarios shown have been discussed in detail and will not be repeated here.

[0127] As described above, this invention extracts tower geometry and micro-topographical features from collected 3D laser point cloud data, and accurately calculates backflashover and bypass tripping rates by combining lightning statistical distribution data and meteorological data. A dynamic weighting algorithm is used to comprehensively assess tripping risk and match it with a preset lightning risk level threshold matrix to output differentiated lightning protection upgrade strategies. By dynamically adjusting the weighting coefficients of backflashover and bypass tripping rates to adapt to the characteristics of different voltage levels and matching them with a preset lightning risk level threshold matrix, accurate risk assessment and standardized upgrades are achieved. Overall, this invention effectively integrates multi-source data, improves the accuracy and economy of transmission line lightning risk assessment, and significantly enhances the safe and stable operation capability of the power grid.

[0128] like Figure 3 As shown, Figure 3 This is a schematic diagram of an embodiment of a power transmission line lightning strike risk assessment system provided by the present invention. A power transmission line lightning strike risk assessment system 10, the system includes:

[0129] The data acquisition module 11 is used to acquire three-dimensional laser point cloud data and lightning statistics data of the transmission line. The three-dimensional laser point cloud data includes the geometric parameters of the tower and the terrain parameters of the tower's location.

[0130] In one implementation scenario, the data acquisition module 11 acquires three-dimensional laser point cloud data and lightning statistics of the transmission line. The three-dimensional laser point cloud data includes the geometric parameters of the tower and the terrain parameters of the tower's location.

[0131] The transmission line tripping rate determination module 12 is used to correct the tower attraction range based on the terrain correction coefficient corresponding to the geometric parameters and terrain parameters, and to determine the transmission line tripping rate based on the corrected tower attraction range and lightning statistics.

[0132] In one implementation scenario, in the transmission line tripping rate determination module 12, the tower attraction range is corrected based on the terrain correction coefficient corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters to determine the corrected tower attraction range; lightning overvoltage simulation is performed on the transmission line to determine the critical lightning current amplitude; the critical lightning current probability of backflashover when the lightning current amplitude is greater than the critical lightning current amplitude is determined; and the transmission line tripping rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range. The transmission line tripping rate includes the backflashover tripping rate.

[0133] In another implementation scenario, transmission line tripping rates include backflashover tripping rate and backflashover tripping rate. The tower attraction range can be corrected based on the terrain correction coefficients corresponding to the geometric and terrain parameters. The backflashover tripping rate is then calculated based on the corrected tower attraction range and lightning statistics. Alternatively, the conductor spatial position of the transmission line's electrical geometry model under dynamic wind deflection can be calculated based on meteorological data, along with the dynamic wind deflection correction coefficient for the electrical geometry model. The backflashover tripping rate is then calculated based on the conductor spatial position, the dynamic wind deflection correction coefficient, and lightning statistics.

[0134] The lightning strike risk level determination module 13 is used to determine the lightning strike risk level of a transmission line based on the transmission line tripping rate.

[0135] In one implementation scenario, the weighting coefficient of the transmission line tripping rate is determined based on the current voltage level of the transmission line; the comprehensive tripping rate is determined by combining the weighting coefficient and the transmission line tripping rate; and the lightning risk level of the transmission line is determined based on the matching of the comprehensive tripping rate with the preset risk level range.

[0136] like Figure 4 As shown, Figure 4 This is a schematic diagram of an embodiment of the device provided by the present invention. The device 20 includes a memory 21 and a processor 22. The memory 21 stores a computer program, and the processor 22 executes the computer program during operation to achieve, for example... Figure 1 and Figure 2 The method shown.

[0137] The specific technical details of the method for assessing the risk of lightning strikes on transmission lines implemented by the aforementioned device 20 when executing a computer program have been discussed in detail in the above method steps, and therefore will not be repeated here.

[0138] like Figure 5 As shown, Figure 5 This is a schematic diagram of the structure of an embodiment of the medium provided by the present invention. The medium 30 stores at least one computer program 31, which is executed by the processor 22 to perform the following... Figure 1 and Figure 2 The method shown is detailed above and will not be repeated here. In one embodiment, the medium 30 can be a storage chip, hard disk, portable hard disk, USB flash drive, optical disk, or other read / write storage device, or even a server, etc.

[0139] Furthermore, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific or sequential order shown to achieve the desired result. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0140] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer-readable storage media are basically similar to the method embodiments, and therefore described more simply; relevant parts can be referred to the descriptions of the method embodiments.

[0141] The apparatus, device, non-volatile computer-readable storage medium and method provided in the embodiments of this specification are corresponding. Therefore, the apparatus, device and non-volatile computer storage medium also have similar beneficial technical effects as the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding apparatus, device and non-volatile computer storage medium will not be repeated here.

[0142] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0143] For ease of description, the above apparatus is described by dividing it into various functional units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware components. Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0144] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0145] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0146] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0147] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0148] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0149] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0150] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0151] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0152] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0153] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for assessing the lightning strike risk of transmission lines, characterized in that, The method includes: Acquire three-dimensional laser point cloud data and lightning statistics of transmission lines. The three-dimensional laser point cloud data includes the geometric parameters of the towers and the terrain parameters of the tower locations. The lightning statistics include impulse grounding resistance, annual average ground flashover density, and lightning current amplitude. The tower attraction range is corrected based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters to determine the corrected tower attraction range. Lightning overvoltage simulation is performed on the transmission line to determine the critical lightning current amplitude. The probability of backflashover critical lightning current when the lightning current amplitude exceeds the critical lightning current amplitude is determined. Based on the annual average ground flashover density, the probability of backflashover critical lightning current, and the tower attraction range, the transmission line tripping rate is determined, including the backflashover tripping rate. The process of correcting the tower's attraction range based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters, and determining the corrected tower attraction range, specifically includes: based on... Determine the attraction range of the tower, where, For the attraction range of the tower, The tower height is a geometric parameter. To reduce the grounding resistance, This refers to the terrain correction factor. The slope calculation is expressed as follows: J is the slope angle; The probability of the backflashover critical lightning current for the critical lightning current amplitude is: Where Icrit is the critical lightning current amplitude. I represents the critical lightning current probability for counter-flashover, and I is the lightning current amplitude. The transmission line tripping rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range. The transmission line tripping rate includes the backflashover tripping rate, specifically including: based on... Determine the back-off trip rate, where, To counter the tripping rate, This represents the annual average ground flash density. Let P(I>Icrit) be the attraction range of the tower, and let P(I>Icrit) be the critical lightning current probability of backflashover. The lightning strike risk level of the transmission line is determined based on the tripping rate of the transmission line.

2. The method for assessing the lightning strike risk of transmission lines according to claim 1, characterized in that, The determination of the lightning risk level of the transmission line based on the transmission line tripping rate specifically includes: The weighting coefficient for the tripping rate of the transmission line is determined based on the current voltage level of the transmission line; The overall tripping rate is determined by combining the weighting coefficients and the transmission line tripping rate. The lightning risk level of the transmission line is determined based on the matching of the comprehensive tripping rate with the preset risk level range.

3. The method for assessing the lightning strike risk of transmission lines according to claim 2, characterized in that, The weighting coefficient for determining the tripping rate of the transmission line based on the current voltage level of the transmission line specifically includes: according to The weighting coefficients for determining the transmission line tripping rate, which includes the backflashover tripping rate, are determined. , where a0 is the weighting coefficient for the backflashover trip rate, V is the baseline weight for the backflashover trip rate, and V is the line voltage level.

4. The method for assessing the lightning strike risk of transmission lines according to claim 3, characterized in that, The determination of the overall tripping rate by combining the weighting coefficients and the transmission line tripping rate specifically includes: according to Determine the overall trip rate, where, Here, a(V) is the weighting coefficient for the overall weighting, and a(V) is the weighting coefficient for the counter-attack tripping rate. For environmental weighting factors, f(X) env () is a meteorological environment correction factor.

5. A lightning strike risk assessment system for power transmission lines, characterized in that, The system includes: The data acquisition module is used to acquire three-dimensional laser point cloud data and lightning statistics data of the transmission line. The three-dimensional laser point cloud data includes the geometric parameters of the tower and the terrain parameters of the tower's location. The lightning statistics data includes impulse grounding resistance, annual average ground flash density and lightning current amplitude. The transmission line tripping rate determination module is used to correct the tower attraction range based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters, and determine the corrected tower attraction range; to perform lightning overvoltage simulation on the transmission line and determine the critical lightning current amplitude; to determine the backflashover critical lightning current probability when the lightning current amplitude is greater than the critical lightning current amplitude; and to determine the transmission line tripping rate based on the annual average ground flashover density, the backflashover critical lightning current probability, and the tower attraction range, wherein the transmission line tripping rate includes the backflashover tripping rate. The process of correcting the tower's attraction range based on the terrain correction coefficients corresponding to the impulse grounding resistance, geometric parameters, and terrain parameters, and determining the corrected tower attraction range, specifically includes: based on... Determine the attraction range of the tower, where, For the attraction range of the tower, The tower height is a geometric parameter. To reduce the grounding resistance, This refers to the terrain correction factor. The slope calculation is expressed as follows: J is the slope angle; The probability of the backflashover critical lightning current for the critical lightning current amplitude is: Where Icrit is the critical lightning current amplitude. I represents the critical lightning current probability for counter-flashover, and I is the lightning current amplitude. The transmission line tripping rate is determined based on the annual average ground flashover density, the critical lightning current probability of backflashover, and the tower attraction range. The transmission line tripping rate includes the backflashover tripping rate, specifically including: based on... Determine the back-off trip rate, where, To counter the tripping rate, This represents the annual average ground flash density. Let P(I>Icrit) be the attraction range of the tower, and let P(I>Icrit) be the critical lightning current probability of backflashover. The lightning strike risk level determination module is used to determine the lightning strike risk level of the transmission line based on the tripping rate of the transmission line.

6. A computer-readable storage medium, characterized in that, The device stores a computer program that, when executed by a processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 4.

7. A computer device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 4.

Images