Power transmission channel-oriented local strong wind identification method, system, device and medium

Abstract

The application discloses a power transmission channel-oriented local strong wind identification method, system, device and medium, comprising: acquiring basic information of a power transmission channel and a gridded numerical weather prediction; calculating wind speeds of each section of power transmission lines in the power transmission channel at a height of h and at a preset integral time step according to the basic information of the power transmission channel and the gridded numerical weather prediction; calculating local strong wind speeds of each section of power transmission lines at the preset integral time step according to the wind speeds of each section of power transmission lines at the height of h and at the preset integral time step; and determining a local strong wind speed of the power transmission channel according to the local strong wind speeds of each section of power transmission lines at the preset integral time step, which can identify the local strong wind speed of the power transmission channel.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of local strong wind prediction and warning of power transmission channel, and relates to a local strong wind identification method, system, device and medium for power transmission channel. BACKGROUND

[0002] The power transmission channel refers to a plurality of important power transmission lines in a limited space. The power transmission channel is of great significance to the stable transmission of electricity and the safe operation of the power system. In recent years, with the intensification of global climate change, extreme weather occurs frequently, especially local strong wind weather, which is easy to cause damage to power grid equipment in the power transmission channel, damage to dense power transmission channel equipment, and even serious economic losses and social effects. Therefore, how to accurately identify the local strong wind for the power transmission channel directly affects the prediction and warning accuracy of the local strong wind for the power transmission channel and the safety level of the power transmission channel. At present, the accurate identification of the local strong wind for the power transmission channel still has technical challenges. First, the identification of the strong wind for the power transmission channel usually uses the wind speed of the numerical weather prediction at 10 meters from the ground, which cannot accurately reflect the wind field at the height of the power transmission line. Second, the local strong wind usually occurs simultaneously with the gusty wind and the deep convection system such as strong convection, and the convection activity contributes to the development of the strong wind, but the convection activity has strong local nature and short life history, which brings great challenges to accurate prediction. SUMMARY

[0003] The purpose of the application is to overcome the shortcomings of the prior art and provide a local strong wind identification method, system, device and medium for power transmission channel, which can identify the local strong wind speed of the power transmission channel.

[0004] To achieve the above purpose, the application discloses a local strong wind identification method for power transmission channel, which comprises the following steps:

[0005] Obtaining the basic information of the power transmission channel and the grid-based numerical weather prediction;

[0006] According to the basic information of the power transmission channel and the grid-based numerical weather prediction, the wind speed of each section of the power transmission line at the height of h in the preset integral time step is calculated;

[0007] According to the wind speed of each section of the power transmission line at the height of h in the preset integral time step, the local strong wind speed of each section of the power transmission line in the preset integral time step is calculated;

[0008] According to the local strong wind speed of each section of the power transmission line in the preset integral time step, the local strong wind speed of the power transmission channel is determined.

[0009] The further improvement of the local strong wind identification method for the power transmission channel is that:

[0010] Further, the wind speed u of any section of the power transmission line in the power transmission channel at the height h in the preset integral time step is h For:

[0011]

[0012] Wherein, u 10 is the wind speed of the corresponding grid point of the section of the power transmission line at the height of 10 meters, z0 is the roughness of the corresponding grid point of the section of the power transmission line, L is the M-O length of the corresponding grid point of the section of the power transmission line, and Ψ(h / L) represents the atmospheric stability function of the section of the power transmission line at the height h.

[0013] Further, the atmospheric stability function is represented as:

[0014]

[0015] Wherein, K is the Karman constant.

[0016] Further, the wind speed u of any section of the power transmission line at the height h in the preset integral time step is gust For:

[0017] u gust = u h + c conv max(0, u 850 -u 950 ) (3)

[0018] Wherein, c conv represents the convective mixing parameter at the corresponding space and time point, u 850 and u 950 respectively represent the wind speed of the corresponding grid point of the numerical weather prediction at the 850hPa and 950hPa isobaric surfaces.

[0019] Further, the process of determining the local strong wind speed of the power transmission channel according to the local strong wind speed of each section of the power transmission line in the preset integral time step is:

[0020] Determine the maximum value of the local strong wind speed of each section of the power transmission line in the preset integral time step, and take the maximum value as the local strong wind speed of the power transmission channel.

[0021] The application discloses a local strong wind identification system for a power transmission channel, comprising:

[0022] An acquisition module is configured to acquire basic information of the power transmission channel and a gridded numerical weather prediction.

[0023] The first calculation module is used for calculating the wind speed of each section of transmission line at the height of h on the preset integral time step according to the basic information of the power transmission channel and the gridded numerical weather forecast.

[0024] The second calculation module is used for calculating the local strong wind speed of each section of transmission line on the preset integral time step according to the wind speed of each section of transmission line at the height of h on the preset integral time step.

[0025] The determining module is used for determining the local strong wind speed of the power transmission channel according to the local strong wind speed of each section of transmission line on the preset integral time step.

[0026] The local strong wind identification system for the power transmission channel further improves in that:

[0027] Further, the wind speed u of any section of transmission line in the power transmission channel at the height of h on the preset integral time step is: h

[0028]

[0029] Wherein, u 10 is the wind speed of the corresponding grid point of the section of transmission line at the height of 10 meters, z0 is the roughness of the corresponding grid point of the section of transmission line, L is the M-O length of the corresponding grid point of the section of transmission line, and ψ (h / L) represents the atmospheric stability function of the section of transmission line at the height of h.

[0030] Further, the atmospheric stability function is represented as:

[0031]

[0032] Wherein, k is the Karman constant.

[0033] Further, the wind speed u of any section of transmission line at the height of h on the preset integral time step is: gust

[0034] u gust = u h +c conv max (0, u 850 -u 950 ) (3)

[0035] Wherein, c conv represents the convective mixing parameter at the corresponding space and time point, u 850 and u 950 respectively represent the wind speed of the corresponding grid point of the numerical weather forecast at the isobaric surface of 850 hPa and 950 hPa.

[0036] ​​Further, the process of determining the local strong wind speed of the power transmission channel according to the local strong wind speed of each section of the power transmission line at the preset integral time step is:

[0037] determining the maximum value of the local strong wind speed of each section of the power transmission line at the preset integral time step, and taking the maximum value as the local strong wind speed of the power transmission channel.

[0038] The application discloses a computer device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the local strong wind identification method for the power transmission channel when executing the computer program.

[0039] The application discloses a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the local strong wind identification method for the power transmission channel when executed by a processor.

[0040] The application has the following beneficial effects:

[0041] The local strong wind identification method for the power transmission channel, the system, the device and the medium have the following beneficial effects:

[0042] The application calculates the wind speed of each section of the power transmission line at the height of h at the preset integral time step according to the basic information of the power transmission channel and the grid numerical weather prediction, so that the wind field at the height of the power transmission line is accurately reflected, and the local strong wind speed of each section of the power transmission line at the preset integral time step is calculated according to the wind speed of each section of the power transmission line at the height of h at the preset integral time step, and the local strong wind speed of the power transmission channel is determined, that is, the maximum value obtained by iterative calculation of each integral time step in the numerical prediction is taken as the local strong wind speed in the period, so that the local strong wind speed of the power transmission channel is identified. BRIEF DESCRIPTION OF DRAWINGS

[0043] The drawings constituting a part of the specification of the application are used to provide a further understanding of the application, the illustrative embodiments of the application and the description thereof are used to explain the application, and do not constitute an improper limitation on the application. In the drawings:

[0044] Figure 1 The method flowchart of the application;

[0045] Figure 2 The system structure diagram of the application. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0047] In the description of the present invention, it is to be understood that the terms “include” and “comprise” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0048] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0049] It should be further understood that the term "and / or" as used in the present specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0050] It should be understood that although the terms "first," "second," and "third" may be used to describe preset ranges in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are merely used to distinguish one preset range from another. For example, without departing from the scope of embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0051] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0052] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the drawings of the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0053] Various structural schematic diagrams according to the disclosed embodiments of the present application are shown in the drawings. These diagrams are not drawn to scale, in which some details are enlarged for the purpose of clear expression, and some details can be omitted. The shapes of various regions, layers and their relative size and positional relationship shown in the drawings are only exemplary, and in actuality, there can be deviations due to manufacturing tolerances or technical limitations, and regions / layers with different shapes, sizes and relative positions can be additionally designed by those skilled in the art according to actual needs.

[0054] Embodiment one

[0055] Reference Figure 1 The local strong wind identification method for the power transmission channel according to the present application includes the following steps:

[0056] 1) Obtain the basic information of the power transmission channel and the gridded numerical weather prediction, the basic information of the power transmission channel includes the terrain, latitude and longitude information and the height information of the power transmission line, and the matching relationship is established with the gridded numerical weather prediction through the latitude and longitude information, and the wind speed at 10m height, 100m height, roughness and M-O length of the corresponding grid points are extracted.

[0057] The specific operation of step 1) is:

[0058] 11) For the power transmission channel area, obtain the height of the power transmission line in the power transmission channel, the longitude and latitude information of the tower, and the terrain data, set h i is the height of the power transmission line, x i , y i is the longitude and latitude of the line tower, wherein the subscript i represents the number of the line tower, and the longitude and latitude information sequence of each tower in the line is constructed.

[0059] 12) Based on the gridded numerical weather prediction data of the power transmission channel, according to the latitude and longitude information sequence of each line in step 11), the matching relationship between the tower of the power transmission line and the gridded numerical weather prediction is established respectively, and the wind speed u 10 , roughness z0 and M-O length L at the height of 10 meters is extracted from the numerical weather prediction.

[0060] It should be noted that the prediction data is a two-dimensional matrix, the first dimension is the spatial dimension, indicating that there are multiple line tower records in the power transmission channel, and the second dimension is the time dimension, that is, it contains multiple time sequence data within a prediction validity period. The present application iteratively calculates each integral time step of the numerical weather prediction for each line tower, so as to simplify the form, and the above form is used instead of the two-dimensional matrix form, and the spatial and time dimensions are complicated.

[0061] 2) Construct a reference wind speed diagnostic model at the height of the power transmission line under unstable atmospheric conditions. Strong winds affecting the power transmission line generally occur under unstable atmospheric conditions, so the logarithmic interpolation or simple linear interpolation of the atmosphere under the assumption of neutrality cannot be used to obtain the wind speed at the height of the power transmission line. The present application applies the Monin-Obukhov similarity theory, and focuses on the influence of atmospheric stability on the vertical wind profile to construct a wind speed model at the height of the power transmission line.

[0062] The specific process of step 2) is as follows:

[0063] 21) Through weather analysis, it is known that strong winds that adversely affect the power transmission line occur under unstable atmospheric conditions. Therefore, the wind speed model at the height of the power transmission line cannot be used for logarithmic wind profile or linear interpolation under the assumption of neutral atmosphere. The Monin-Obukhov similarity theory is applied, and a wind speed calculation model at the height of the power transmission line is proposed based on the consideration of the influence of atmospheric stability on the vertical wind profile. The wind speed calculation model at the height of the power transmission line is represented as:

[0064]

[0065] Wherein, u h represents the wind speed of a certain section of the power transmission line at a height h at a certain integral time step, u 10 is the wind speed at the height of 10 meters, z0 is the roughness corresponding to the grid and time extracted in step 12), L is the M-O length extracted in step 12), and Ψ represents the atmospheric stability function.

[0066] 22) The preceding analysis shows that strong winds all occur under unstable atmospheric conditions, therefore, the present application only focuses on the atmospheric stability function Ψ under unstable conditions, which is related to the M-O length and height, then the atmospheric stability function Ψ(h / L) under unstable conditions is:

[0067]

[0068] Wherein, κ is Karman constant, κ is about 0.4.

[0069] 3) Establish a local strong wind identification method considering the contribution of the middle and low layer atmosphere convection, the generation of the local strong wind of the power transmission channel cannot be separated from the convection contribution of the deep convection system corresponding to the gust and strong convection event, the present application adopts the vertical wind shear as the convection contribution term to establish a local strong wind identification scheme for the power transmission channel.

[0070] The process of step 3) is:

[0071] The local strong wind which has an adverse effect on the power transmission channel often occurs simultaneously with the local gusty wind or strong convection event, that is, the local strong wind all occurs in the deep convection system, therefore, the present application adopts the function of the vertical wind shear to represent the convection contribution term, which is added to the calculation of the local gust, that is:

[0072] u gust =u h +c conv max(0,u 850 -u 950 ) (3)

[0073] Wherein, ust represents the wind speed of the local strong wind of a certain section of the power transmission line in a certain integral time step, u h represents the reference wind speed, c conv represents the convection mixing parameter corresponding to the space and time point, the value range of c conv is [0.3, 0.6], u 850 and u 950 respectively represent the wind speed of 850hPa and 950hPa isobaric surface on the corresponding grid point of the numerical weather prediction, the wind speed of 850hPa represents the wind field of the middle layer atmosphere, the wind speed of 950hPa represents the wind field of the low layer atmosphere, and the vertical shear between the two layers of wind field represents the intensity of the convection activity between the middle and low layer atmospheres.

[0074] 32) For each line section and tower in the concerned power transmission channel, and each integral time step of the numerical weather prediction, once calculation according to formula (3) is needed. Finally, u gust of each section of the power transmission line in the prediction time limit is calculated. gustThe maximum value is taken as the local strong wind speed of the power transmission channel within the current forecast time limit.

[0075] It should be noted that the present application adopts the Monin-Obukhov similarity theory, and proposes a wind speed diagnosis model at the height of the power transmission line under unstable atmospheric conditions; further, the contribution of deep convection systems to local strong winds is pointed out, a convection contribution term is proposed to represent the vertical wind shear function of the middle and low layers, and a local strong wind identification method is established which considers both atmospheric stability conditions and convection contribution; finally, through iterative calculation of each line section tower within the forecast time limit, the maximum value in the forecast period is obtained as the local strong wind in the period. The present application combines the basic information of the power transmission channel and the conventional data of numerical weather prediction, adopts the Monin-Obukhov similarity theory and the vertical wind shear of deep convection systems and other related theories in meteorology, and constructs a local strong wind identification model for power transmission line towers. Not only can it perfectly solve all the current calculation problems, but also it is more in line with the actual situation, and the model is more theoretical and has higher fitting precision.

[0076] Embodiment two

[0077] Reference Figure 2 The local strong wind identification system for the power transmission channel comprises:

[0078] The acquisition module is configured to acquire the basic information of the power transmission channel and the grid-based numerical weather prediction.

[0079] The first calculation module is configured to calculate the wind speed at the height h of each section of the power transmission line in the power transmission channel within a preset integral time step according to the basic information of the power transmission channel and the grid-based numerical weather prediction.

[0080] The second calculation module is configured to calculate the local strong wind speed of each section of the power transmission line within the preset integral time step according to the wind speed at the height h of each section of the power transmission line within the preset integral time step.

[0081] The determination module is configured to determine the local strong wind speed of the power transmission channel according to the local strong wind speed of each section of the power transmission line within the preset integral time step.

[0082] The local strong wind identification system for the power transmission channel further improves in that:

[0083] Further, the wind speed u h is:

[0084]

[0085] wherein, u 10is the wind speed at the height of 10 meters of the corresponding grid point of the section of transmission line, z0 is the roughness of the corresponding grid point of the section of transmission line, L is the M-O length of the corresponding grid point of the section of transmission line, and Ψ(h / L) represents the atmospheric stability function of the section of transmission line at the height of h.

[0086] Further, the atmospheric stability function is represented as:

[0087]

[0088] wherein k is the Karman constant.

[0089] Further, the wind speed u of any section of transmission line at the height of h over the preset integral time step is represented as: gus t is:

[0090] u gust = u h +c conv max(0, u 850 -u 950 ) (3)

[0091] wherein c conv represents the convective mixing parameter at the corresponding space and time point, u 850 and u 950 respectively represent the wind speed at the isobaric surface of 850 hPa and 950 hPa of the corresponding grid point of the numerical weather prediction.

[0092] Further, the process of determining the local strong wind speed of the transmission channel according to the local strong wind speed of each section of transmission line over the preset integral time step is:

[0093] determining the maximum value of the local strong wind speed of each section of transmission line over the preset integral time step, and taking the maximum value as the local strong wind speed of the transmission channel.

[0094] The division of the modules in the embodiments of the present application is illustrative, and is merely a logical function division, and another division mode can be used in actual implementation, and in addition, each function module in each embodiment of the present application can be integrated in one processor, or can be physically separated, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware, or in the form of a software function module.

[0095] Embodiment three

[0096] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for identifying local strong winds for a transmission channel are implemented, for example, including: obtaining basic information of the transmission channel and a gridded numerical weather forecast; calculating the wind speed of each section of the transmission line in the transmission channel at a height h at a preset integration time step based on the basic information of the transmission channel and the gridded numerical weather forecast; calculating the local strong wind speed of each section of the transmission line at the preset integration time step based on the wind speed of each section of the transmission line at a height h at the preset integration time step; and determining the local strong wind speed of the transmission channel based on the local strong wind speed of each section of the transmission line at the preset integration time step. The memory may include internal memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus. This internal bus may be an Industry Standard Architecture bus, a Peripheral Component Interconnect Standard bus, an Extended Industry Standard Architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operating instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.

[0097] Example 4

[0098] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for identifying local strong winds for a transmission channel, for example, including: obtaining basic information of the transmission channel and a gridded numerical weather forecast; calculating the wind speed of each section of the transmission line in the transmission channel at a height h at a preset integration time step based on the basic information of the transmission channel and the gridded numerical weather forecast; calculating the local strong wind speed of each section of the transmission line at a preset integration time step based on the wind speed of each section of the transmission line at a height h at a preset integration time step; determining the local strong wind speed of the transmission channel based on the local strong wind speed of each section of the transmission line at a preset integration time step. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0099] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code thereon for use by or in connection with an instruction execution system. For the purposes of this description, a computer usable or computer readable storage medium can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer usable or computer readable storage medium can be electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system (or apparatus or device) including a propagation medium. Examples of a computer-readable medium include a semiconductor or solid state memory, magnetic tape, a removable computer diskette, a random access memory (RAM), a read-only memory (ROM), a rigid magnetic disc, and an optical disk. Current examples of optical disks include compact disk - read only memory (CD-ROM), compact disk - read / write (CD-R / W), and DVD.

[0100] The present application is described in reference to the flowchart illustrations and / or block diagrams of the methods, apparatus (systems) and computer program products according to embodiments of the application. 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 processing system 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 means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0101] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0102] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0103] Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. The present application is intended to cover any and all variations of the application which come within the scope of the application and including those variations which are within the common general knowledge of the art or which are obvious to one skilled in the art. The specification and examples are illustrative of the application and are not intended to be limiting. The true scope of the application is indicated by the appended claims.

[0104] It should be understood that the application is not limited to the precise construction which has been described above and illustrated in the accompanying drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application should only be limited by the appended claims.

[0105] The above description is only the preferred embodiment of the present application, not any limitation to the present application, any simple modification, change and equivalent structure change to the above embodiment according to the technical essence of the present application are still within the protection scope of the present application technical solution.

Claims

1. A method for identifying local strong winds in power transmission channels, characterized in that: include: Obtain basic information on power transmission channels and gridded numerical weather forecasts; According to the basic information of the transmission channel and the gridded numerical weather forecast, the power transmission lines in each section of the transmission channel are calculated. Wind speed at altitude over a preset integration time step; According to the various sections of the transmission line The wind speed at the preset integration time step is calculated, and the local strong wind speed of each section of the transmission line is calculated at the preset integration time step; Determining the local strong wind speed of the transmission channel according to the local strong wind speed of each section of the transmission line at a preset integration time step; Any section of the transmission line in the transmission channel Wind speed at altitude over the preset integration time step for: (1) in, is the wind speed at the grid point corresponding to the transmission line at a height of 10 meters, is the roughness of the grid point corresponding to the line during this period, is the MO length of the grid point corresponding to the line during this period, Indicates that the transmission line is High atmospheric stability function; Any section of transmission line Wind speed at altitude over the preset integration time step for: （3） in, represents the convective mixing parameters at the corresponding space and time points, and They represent the wind speeds at the 850hPa and 950hPa isobaric surfaces at the corresponding grid points of the numerical weather forecast respectively; The process of determining the local strong wind speed of the transmission channel based on the local strong wind speed of each section of the transmission line at the preset integration time step is as follows: The maximum value of the local strong wind speed of each section of the transmission line at a preset integration time step is determined, and the maximum value is used as the local strong wind speed of the transmission channel.

2. The method for identifying local strong winds in a power transmission channel according to claim 1, characterized in that: The atmospheric stability function is expressed as: (2) in, is the Karman constant.

3. A local strong wind identification system for power transmission channels, characterized by: include: Acquisition module, used to obtain basic information of transmission channels and gridded numerical weather forecasts; The first calculation module is used to calculate the power transmission line of each section in the transmission channel according to the basic information of the transmission channel and the gridded numerical weather forecast. Wind speed at altitude over a preset integration time step; The second calculation module is used to calculate the The wind speed at the preset integration time step is calculated, and the local strong wind speed of each section of the transmission line is calculated at the preset integration time step; a determination module, configured to determine the local strong wind speed of the transmission channel according to the local strong wind speed of each section of the transmission line at a preset integration time step; Any section of the transmission line in the transmission channel Wind speed at altitude over the preset integration time step for: (1) in, is the wind speed at the grid point corresponding to the transmission line at a height of 10 meters, is the roughness of the grid point corresponding to the line during this period, is the MO length of the grid point corresponding to the line during this period, Indicates that the transmission line is High atmospheric stability function; Any section of transmission line Wind speed at altitude over the preset integration time step for: （3） in, represents the convective mixing parameters at the corresponding space and time points, and They represent the wind speeds at the 850hPa and 950hPa isobaric surfaces at the corresponding grid points of the numerical weather forecast respectively; The process of determining the local strong wind speed of the transmission channel based on the local strong wind speed of each section of the transmission line at the preset integration time step is as follows: The maximum value of the local strong wind speed of each section of the transmission line at a preset integration time step is determined, and the maximum value is used as the local strong wind speed of the transmission channel.

4. The local strong wind identification system for power transmission channels according to claim 3 is characterized in that: The atmospheric stability function is expressed as: (2) in, is the Karman constant.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for identifying local strong winds for power transmission channels as described in any one of claims 1-2 are implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for identifying local strong winds for power transmission channels as described in any one of claims 1-2 are implemented.

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