An overhead power transmission line transverse wind prediction method and system

Abstract

The application belongs to the technical field of power weather forecast, and discloses an overhead transmission line transverse wind prediction method and system. The method comprises the following steps: acquiring the position and line height information of the overhead transmission line, and numerical weather prediction data, and calculating the predicted meridional wind and zonal wind at the line height; establishing a coordinate system coordinated with the numerical prediction wind field of the transmission line; combining the coordinated coordinate system, the meridional wind and zonal wind data at the line height, and the position information of the overhead transmission line, constructing an analysis model of the predicted wind direction and the direction of the transmission line section; based on the analysis model of the predicted wind direction and the direction of the transmission line section, combining the predicted meridional wind and zonal wind at the line height, establishing a line section-oriented transverse wind size prediction model, and performing overhead transmission line transverse wind prediction. The application can more accurately calculate the meridional wind and zonal wind at the line height of the transmission line, thereby providing accurate basic data for subsequent wind direction and transverse wind size calculation.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power meteorological forecasting, and in particular relates to a method and system for predicting lateral wind of overhead transmission lines. Background Art

[0002] Crosswinds (i.e., winds perpendicular to the line section, also known as sidewinds or crosswinds) facing a transmission line segment have the most significant impact on line wind load calculations. The force of these winds can cause transmission towers to tilt or collapse, and even trigger widespread power outages. High wind events in numerous locations have caused significant damage to transmission lines, demonstrating that the potential harm of crosswinds to transmission lines cannot be ignored. Crosswind speeds not only directly impact wind load calculations for transmission lines, affecting line vibration and stability, but can also cause tower tilt and fracture, as well as damage to critical equipment such as insulators. This can lead to power outages and system failures, ultimately impacting the reliable supply of electricity and the overall safe operation of the power grid. Furthermore, the frequent occurrence of extreme crosswind speed events increases the maintenance and repair costs of power grid facilities, resulting in significant economic losses and social impacts. Therefore, accurate crosswind prediction for overhead transmission lines is a crucial technology for ensuring the safe operation of power grid facilities.

[0003] However, the current crosswind forecasting for line sections has the following shortcomings. First, the wind speed and wind direction output height of the numerical weather forecast model is not sufficiently compatible with the height of the transmission line. It fails to effectively convert the wind force to the line height and cannot accurately reflect the magnitude of the wind force received by the line, resulting in low forecast accuracy. Second, there is a serious lack of consideration of the direction of the line section and its angle with the wind direction at the line height. The lack of a coordinated coordinate system and an analysis model for the direction angle of the line section and its angle with the wind direction seriously affects the accuracy of the crosswind forecast. These shortcomings lead to low accuracy in extreme wind speed forecasts, which cannot fully meet the requirements for safe operation of the power grid. Summary of the Invention

[0004] The object of the present invention is to provide a method and system for predicting lateral wind of overhead transmission lines, so as to solve the problem of low accuracy of prediction in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for predicting lateral wind of an overhead transmission line, comprising:

[0007] Obtain the location and height information of overhead transmission lines, as well as numerical weather forecast data, and calculate the predicted meridional and zonal winds at the height of the lines;

[0008] Establish a coordinate system for transmission lines and numerically predicted wind fields;

[0009] Combining the coordinated coordinate system, meridional and zonal wind data at line height, and the location information of overhead transmission lines, an analytical model for forecasting wind direction and transmission line segment orientation is constructed.

[0010] Based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal wind and latitudinal wind at the line height, a lateral wind prediction model for the line section is established to predict the lateral wind of overhead transmission lines.

[0011] Furthermore, the acquisition of the location and height information of the overhead transmission line, as well as numerical weather forecast data, includes:

[0012] The location and height information of the overhead transmission line includes the longitude x and latitude y of each tower of the transmission line, and the height h of the transmission line section;

[0013] Extract the conventional data of the numerical weather forecast for the grid corresponding to the line segment: Based on the gridded numerical weather forecast covering the transmission line, according to the longitude and latitude information of the line towers, establish a matching relationship between each line segment and the numerical weather forecast grid, and extract the conventional data of the corresponding grid points from the numerical weather forecast results.

[0014] Furthermore, the calculation of the predicted meridional wind and zonal wind at the line height includes:

[0015] The linear interpolation method is used to calculate the wind component at the height of the transmission line, as shown in formula (1):

[0016] (1.)

[0017] in, Indicates the height of the transmission line The wind component at the location, i.e., meridional wind or zonal wind; and Two known heights and The wind component at

[0018] The meridional wind and zonal wind at the line segment are interpolated and calculated respectively. According to the different heights of each line segment, the meridional wind and zonal wind at the line height are calculated respectively. The specific calculation is shown in formula (2):

[0019] (2.)

[0020] in, and Transmission line height Meridional and zonal winds at and Two known heights and The meridian wind, and There are two known heights and The zonal wind.

[0021] Furthermore, the establishment of a coordinate system for coordinating the transmission line and the numerical wind forecasting field includes:

[0022] The wind component based on numerical weather forecast, i.e., the meridional wind and zonal winds , establish the coordinate system for calculation, as follows: Meridional wind and zonal winds Orthogonal, meridian wind is the wind component along the Earth's longitude, the zonal wind The wind direction is the direction of the wind. The wind direction arrow points to the north at 0°, and when it moves clockwise, the wind direction arrow points to the east at 90°. When the wind direction is 0°, ; When the wind direction is 90°, ;

[0023] Based on the coordinate system of the wind component of numerical weather forecast, the longitude and latitude information of the transmission line tower is placed on the wind component coordinate system, and the longitude is specified. Changes on the horizontal axis of the coordinate system, latitude Changes on the vertical axis of the coordinate system; when the longitude and latitude changes of adjacent towers are used to represent the direction of the line, the wind direction is agreed to be the direction of the wind, the wind direction arrow points to due north for 0°, and moves clockwise. When the wind direction arrow points to due east, it is 90°. When the wind direction is 0°, ; When the wind direction is 90°, .

[0024] Furthermore, the analysis model for predicting wind direction and transmission line segment direction is constructed by combining the coordinated coordinate system, the longitudinal wind and latitudinal wind data at the line height, and the location information of the overhead transmission line, including:

[0025] The wind direction at the line height is calculated based on the wind component coordinate system, and the transmission line height is calculated by Meridional wind and zonal winds , the wind direction corresponding to the line height for:

[0026] (3.)

[0027] in, is the inverse tangent function;

[0028] Calculate the direction of each line segment based on the wind component coordinate system, and set any line segment By the tower and composed of towers The longitude and latitude coordinates are marked as Tower The longitude and latitude coordinates are marked as ; Line segment Trend for:

[0029] (4.)

[0030] in, is the inverse tangent function, Represents the change in longitude of the line segment, is the dimensional change of the line segment, which can be calculated from the longitude and latitude coordinates of the towers at both ends of the line segment;

[0031] Convert the wind direction angle and line segment strike angle to the [0,360] interval and introduce the four-quadrant inverse tangent function Calculate the angle:

[0032] (5.)

[0033] in, , so that the function's value range becomes On this basis, by adjusting the value range and the conversion between radians and angles, the angle falls between The interval is as shown in formula (6):

[0034] (6.)

[0035] in, The return result is in radians, multiplied by It will be converted to an angle.

[0036] Furthermore, the analysis model based on the predicted wind direction and the direction of the transmission line section is combined with the predicted longitudinal wind and latitudinal wind at the height of the line to establish a lateral wind prediction model for the line section, including:

[0037] The calculation of the synthetic wind speed at the transmission line height is based on the calculated transmission line height Meridional wind and zonal winds , calculate the size of the composite wind speed based on its orthogonality:

[0038] (7.)

[0039] The calculation of the angle between the transmission line section and the wind direction is based on the wind direction angle and the transmission line section strike angle , and its values ​​are adjusted Within the interval, in the same coordinate system, the angle α between the transmission line section and the wind direction is calculated as:

[0040] (8.)

[0041] The angle between the transmission line section and the wind direction is adjusted to Within the range, specifically:

[0042] (9.)

[0043] The calculation of the lateral wind size facing the transmission line is based on the synthetic wind speed and the angle between the transmission line section and the wind direction. Size:

[0044] (10.).

[0045] Furthermore, the above-mentioned prediction of the lateral wind of the overhead transmission line includes:

[0046] A time- and space-based dual-loop iterative lateral wind forecast is conducted based on the lateral wind model. This dual-loop iterative process is performed for each integral time step of the numerical weather forecast and each section of the transmission line, calculating the lateral wind results for each tower at each forecast moment.

[0047] For tower-level and minute-level lateral wind forecasts for transmission lines, the system uses the calculated lateral wind results of each integral time step and tower-by-tower iteration to make size judgments based on the wind protection parameters of the line design. When the lateral wind exceeds the design parameters, a refined high wind warning will be issued for that line section and integral time step.

[0048] In a second aspect, the present invention provides a system for predicting lateral wind of an overhead transmission line, comprising:

[0049] A data acquisition module is used to obtain the location and line height information of the overhead transmission line, as well as numerical weather forecast data, and calculate the predicted longitudinal and zonal winds at the line height;

[0050] A coordinate system construction module is used to establish a coordinate system that coordinates the transmission line and the numerical forecast wind field;

[0051] An analytical model building module is used to combine the coordinated coordinate system, the longitudinal and zonal wind data at the line height, and the location information of the overhead transmission line to build an analytical model for forecasting wind direction and transmission line segment direction;

[0052] The prediction module is used to establish a line-section-oriented lateral wind prediction model based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal wind and latitudinal wind at the line height, to predict the lateral wind of the overhead transmission line.

[0053] In a third aspect, the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for predicting lateral wind of an overhead transmission line when executing the computer program.

[0054] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for predicting lateral wind of an overhead transmission line.

[0055] Compared with the prior art, the present invention has the following technical effects:

[0056] The present invention effectively solves this problem by performing linear interpolation on the meridional and zonal winds, ensuring the accuracy of wind direction. Through this linear interpolation method, the present invention can more accurately calculate the meridional and zonal winds at the height of the transmission line, thus providing accurate basic data for subsequent calculations of wind direction and crosswind magnitude.

[0057] This paper proposes a coordinate system based on numerical weather forecast wind components, orthogonalizing meridional and zonal winds and defining rules for calculating the angles between wind direction and track segment orientation. This coordinate system enables analysis of wind direction angles and track segment orientation angles within the same coordinate system, greatly simplifying subsequent angle calculations and coordination.

[0058] By calculating the composite wind speed at the line height and the angle between the wind direction and the line segment's orientation, the present invention can accurately calculate the magnitude of the crosswinds acting on a transmission line segment. This method considers the relative relationship between wind direction and line segment orientation, making crosswind predictions more realistic and improving prediction accuracy.

[0059] By iteratively calculating each integral time step within the numerical weather forecast timeframe, the present invention can predict crosswind magnitude at each forecast moment and line segment. When the predicted crosswind exceeds the designed wind protection parameter for the line, the present invention can promptly issue a refined high wind warning, effectively ensuring the safe operation of the transmission line.

[0060] This paper combines basic information about overhead transmission lines with conventional numerical weather forecast data. Through linear interpolation of wind components from meteorological principles, definition of a coordinated coordinate system, and analysis of wind direction and its angle with the line segment's orientation, a lateral wind prediction model for overhead transmission lines is constructed. This model is not only applicable to the current transmission line network but also has a degree of scalability to accommodate future changes and expansions.

[0061] In summary, this invention significantly improves the accuracy and reliability of lateral wind prediction for overhead transmission lines through an innovative wind direction prediction method, coordinated coordinate system establishment, precise crosswind calculation, and a refined high wind warning mechanism, providing a strong guarantee for the safe operation of transmission lines. Furthermore, the model presented in this invention has excellent applicability and scalability, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 Coordinate system based on the wind component of numerical weather prediction.

[0063] Figure 2 Coordinate system for coordination of transmission lines and numerical wind farm forecasting.

[0064] Figure 3 Flowchart of the present invention. DETAILED DESCRIPTION

[0065] The present invention is further described below with reference to the accompanying drawings:

[0066] Example 1, please refer to Figure 3 , a method for predicting lateral wind of overhead transmission lines, comprising:

[0067] Obtain the location and height information of overhead transmission lines, as well as numerical weather forecast data, and calculate the predicted meridional and zonal winds at the height of the lines;

[0068] Establish a coordinate system for transmission lines and numerically predicted wind fields;

[0069] Combining the coordinated coordinate system, meridional and zonal wind data at line height, and the location information of overhead transmission lines, an analytical model for forecasting wind direction and transmission line segment orientation is constructed.

[0070] Based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal wind and latitudinal wind at the line height, a lateral wind prediction model for the line section is established to predict the lateral wind of overhead transmission lines.

[0071] The present invention intends to solve the technical problem that it is difficult to accurately predict the lateral wind for overhead transmission lines. Based on the basic information of overhead transmission lines and high-precision gridded numerical weather forecast data, a scheme is proposed to use linear interpolation to calculate the predicted longitudinal wind and latitudinal wind at the height of the line respectively. Based on this, a coordinate system is established that coordinates the transmission line with the numerical forecast wind field, and then an accurate analysis of the predicted wind direction and the direction of the transmission line section is carried out. Finally, a lateral wind size prediction model for the line section is established, and it is iteratively calculated at each integral time step. When the lateral wind is greater than the line section and time of the design parameters, a refined high wind warning is issued. The present invention significantly improves the prediction accuracy of the lateral wind speed, which not only helps to reduce structural damage and failures of transmission lines, but also effectively improves the efficiency and safety of power grid operations. The invention aims to achieve accurate prediction of lateral wind speed and provide solid technical support and guarantee for the safe operation of transmission lines and equipment protection.

[0072] Example 2, please refer to Figures 1 to 2 The present invention provides a method for predicting lateral wind of overhead transmission lines, which specifically includes:

[0073] Step 1: Obtain basic information of overhead transmission lines and conventional numerical weather forecast data. The basic information of transmission lines includes the longitude of each tower at each level of the line. ,latitude , line height etc., and establish a matching relationship between the tower longitude and latitude and the high-precision gridded numerical weather forecast data, and extract the conventional data of the numerical weather forecast at the grid point corresponding to the transmission line, including the meridional wind speed at the height of 10 meters, 100 meters, and 200 meters. and zonal winds .

[0074] Step 2: Calculate the predicted meridional and zonal winds at the height of the transmission line. Currently, wind speeds at transmission line height are interpolated from composite wind speeds at different floor heights. However, the terrain where transmission lines are located is complex, and wind speeds may vary in many ways in the vertical direction. Furthermore, wind direction is a nonlinear function, and composite wind speed interpolation can lead to misjudgments of wind direction. To address these issues and maintain consistency and compatibility with numerical forecast data, a method for interpolating wind components separately is proposed. This method not only effectively accounts for variations in wind speed with height, while also avoiding errors introduced by composite wind speed interpolation and ensuring the accuracy of wind direction.

[0075] Step 3: Establish a coordinate system that coordinates the transmission line and the numerical forecast wind field. The calculation of the lateral wind facing the transmission line involves the analysis of multiple angles such as the direction of the line section, wind direction, and the angle between the direction of the line section and the wind direction. In addition, the numerical forecast wind field is composed of the longitudinal wind direction. and zonal winds The wind direction is composed of two components, and the angle of wind direction is defined as the direction of the wind, which is not in the same coordinate system as the angle of the transmission line. In order to coordinate the subsequent analysis of various angles and simplify the calculation, it is proposed to establish a coordinate system based on the numerical forecast wind component.

[0076] Step 4: Analyze the wind direction forecast and transmission line segment alignment based on the coordinated coordinate system. Based on the new coordinate system defined in Step 3, calculate the corresponding wind direction angle based on the meridional and zonal wind data at the line height calculated in Step 2. Calculate the line segment alignment angle between adjacent towers based on the longitude and latitude of adjacent towers extracted in Step 1, ensuring that the calculated angle is within the interval [0,360].

[0077] Step 5: Build a model to predict the crosswind magnitude for the line segment. Based on the longitudinal and zonal winds at the transmission line height calculated in Step 2, calculate the composite wind speed at that height. Based on Step 4, calculate the angle between the predicted wind direction and the line segment's direction, ensuring that the calculated angle is within the range [0, 180]. Calculate the crosswind magnitude based on the composite wind speed and the angle between the line and the wind direction.

[0078] Step 6: Conduct crosswind forecasts for each line segment at each forecast time. Based on the crosswind model from Step 5, perform iterative crosswind calculations for each tower and each forecast time for the transmission line. The calculated crosswinds are compared with the designed wind parameters for the line. When the crosswind exceeds the designed parameters for a particular line segment or time, a refined high wind warning is issued.

[0079] Furthermore, step 1 specifically includes:

[0080] Step 1-1: Obtain basic information of the transmission line towers under study, including the longitude of each tower of the transmission line. ,latitude , and the height of the transmission line segment It should be noted that the tower longitude and latitude and the line segment height here are actually an array. Because a line consists of multiple towers, a line segment is defined between two adjacent towers. However, for the sake of simplicity and ease of understanding in the prediction model description, this article simply records each as a single variable. In practical applications, this can be expanded to an array structure.

[0081] Step 1-2: Extract the conventional data of numerical weather forecast for the grid corresponding to the line segment. Based on the grid numerical weather forecast covering the transmission line, according to the longitude and latitude information of the line tower in step 1-1, establish the matching relationship between each line segment and the numerical weather forecast grid, and extract the conventional data of the corresponding grid points from the numerical weather forecast results. The current mainstream numerical forecast model includes the longitudinal wind and latitudinal wind at 10 meters, 100 meters, and 200 meters above the ground in the near-surface wind field forecast, which are recorded as 、 、 、 、 and It should also be noted that the wind speeds at different floor heights here are actually an array, the size of which depends on the numerical weather forecast integration time step and forecast validity. In other words, these conventional forecast data are included at each numerical forecast integration time step. However, for simplicity, this is simply recorded as a variable in this invention. In actual application, it can be expanded into an array structure based on the results of the numerical forecast.

[0082] Furthermore, step 2 specifically includes:

[0083] Step 2-1: Construct an interpolation calculation model for the meridional wind and the latitudinal wind. Accurate prediction of the lateral wind facing the transmission line requires not only accurate wind speed at the height of the transmission line, but also accurate prediction of the wind direction angle. Therefore, various interpolation methods based on synthetic wind speed in the past are not applicable. The present invention proposes a scheme for interpolating the meridional wind and the latitudinal wind separately, which ensures the accuracy of the wind direction while obtaining the meridional wind and the latitudinal wind at the height of the line. The present invention uses a linear interpolation method to calculate the wind component at the height of the transmission line, as shown in formula (1):

[0084] (11.)

[0085] in, Indicates the height of the transmission line The wind component at a point, i.e., the meridional wind or the zonal wind. and Two known heights and The wind force at the location.

[0086] Step 2-2: Interpolate and calculate the meridional wind and zonal wind at each line segment. Based on the different heights of each line segment, calculate the meridional wind and zonal wind at the line height according to the model in step 2-1. The specific calculation is shown in formula (2):

[0087] (12.)

[0088] in, and Transmission line height The longitudinal and zonal winds. and Two known heights and The same applies to the meridian wind. and There are two known heights and In the present invention, the known heights are 10 meters, 100 meters and 200 meters, and the corresponding longitudinal winds and latitudinal winds have been obtained in step 1-2. It is only necessary to calculate the wind speed according to the height of the transmission line. By selecting the two closest known heights, the longitudinal wind and zonal wind of the line segment can be calculated using formula (2).

[0089] Furthermore, step 3 specifically includes:

[0090] Step 3-1: Establish a coordinate system based on the wind component of numerical weather forecast. and zonal winds , establish the coordinate system calculated by the present invention. and zonal winds Orthogonal, meridian wind is the wind component along the Earth's longitude, the zonal wind The wind direction is the direction of the wind along the latitude of the earth. In order to coordinate the calculation and facilitate the understanding of the application scenario, the wind direction is agreed to be the direction of the wind. The wind direction arrow points to the north at 0°, and moves clockwise. When the wind direction arrow points to the east, it is 90°. For details, see Figure 1 As shown in the figure: when the wind direction is 0°, ; When the wind direction is 90°, ; and so on.

[0091] Step 3-2: Establish a coordinate system for the transmission line and the numerical weather forecast wind field. Based on the coordinate system of the numerical weather forecast wind component established in step 3-1, place the longitude and latitude information of the transmission line tower on the wind component coordinate system and specify the longitude. Changes on the horizontal axis of the coordinate system, latitude When the longitude and latitude changes of adjacent towers are used to represent the direction of the line, the values ​​of the longitude and latitude changes and the related angles are consistent with those in step 3-1. Figure 2 As shown in the figure, it can be found that the concepts of wind direction angle and line segment direction angle are mutually alternate angles. It can be seen that the coordinate system proposed in the present invention well unifies and coordinates the wind direction and line segment direction, which will greatly simplify the subsequent analysis and calculation process.

[0092] Furthermore, step 4 specifically includes:

[0093] Step 4-1: Calculate the wind direction at the line height based on the wind component coordinate system. The transmission line height calculated in step 2-2 Meridional wind and zonal winds ,Depend on Figure 1It can be seen that the corresponding wind direction at the height of the line is:

[0094] (13.)

[0095] where, is the inverse tangent function.

[0096] Step 4-2: Calculate the direction of each line segment based on the wind component coordinate system. Let any line segment be composed of tower and , the latitude and longitude coordinates of tower are denoted as , and the latitude and longitude coordinates of tower are denoted as . From Figure 2 , the direction of line segment is:

[0097] (14.)

[0098] where, is the inverse tangent function, represents the change in longitude of the line segment, is the change in dimension of the line segment, which can be calculated from the latitude and longitude coordinates of the two towers at the ends of the line segment.

[0099] Step 4-3: Convert the wind direction angle and line segment direction angle to the interval [0, 360]. From the calculation of the wind direction angle and line segment direction angle in steps 4-1 and 4-2, it is known that their value range is in , in order to adjust the value to , introduce the four-quadrant inverse tangent function to calculate the angle:

[0100] (15.)

[0101] where, takes into account the four-quadrant change, so that the value range of the function becomes , on this basis, by adjusting the value domain and the conversion of radians and angles, the angle falls in the interval , as shown in equation (6):

[0102] (16.)

[0103] where, the return result is in radians, multiplied by will be converted to degrees.

[0104] Furthermore, step 5 specifically includes:

[0105] Step 5-1: Calculation of the composite wind speed at the transmission line height. The transmission line height calculated in step 2-2 Meridional wind and zonal winds , the size of the composite wind speed can be calculated based on its orthogonality:

[0106] (17.)

[0107] Step 5-2: Calculate the angle between the transmission line section and the wind direction. The wind direction angle can be obtained from step 4. and the transmission line section strike angle , and its values ​​are adjusted In the same coordinate system, the angle α between the two can be directly calculated as:

[0108] (18.)

[0109] Since the wind direction angle and the line section strike angle are both calculated clockwise from the north, the angle between the two needs to be adjusted to Within the range, specifically:

[0110] (19.)

[0111] Step 5-3: Calculation of the lateral wind speed towards the transmission line. Based on the composite wind speed and angle from steps 5-1 and 5-2, the lateral wind speed towards the transmission line can be accurately calculated. Size:

[0112] (20.)

[0113] Furthermore, step 6 specifically includes:

[0114] Step 6-1: Dual-loop iteration of lateral wind forecasting in time and space. Based on the lateral wind model in step 5, a dual-loop iteration of time and space is performed for each integral time step of the numerical weather forecast and each section of the transmission line, and the lateral wind results are calculated for each tower at each forecast moment.

[0115] Step 6-2: Transmission line lateral wind forecasts at the tower and minute levels. Based on the lateral wind results calculated in Step 6-1, both for each integral time step and for each tower iteration, the wind resistance parameters of the transmission line design are compared. When the lateral wind exceeds the design parameters, a refined high wind warning is issued for that line segment and integral time step.

[0116] The present invention is based on the basic information of overhead transmission lines and the matched numerical weather forecast data. First, linear interpolation is used to calculate the predicted longitudinal wind and latitudinal wind at the line height respectively, avoiding the nonlinear error of using synthetic wind speed interpolation to calculate the wind direction. Then, based on the wind components at the line height, a coordinate system is established that coordinates the transmission line with the numerical forecast wind field, and then an accurate analysis of the predicted wind direction and the direction of the transmission line section is carried out. Then, based on the analysis of the angle between the wind direction and the direction of the line section, a lateral wind magnitude prediction model for the line section is established. Finally, by iteratively calculating each integral time step within the numerical forecast time, the lateral wind forecast within the forecast period is obtained by comparing with the design parameters. The present invention combines the basic information of overhead transmission lines with the conventional data of numerical weather forecasts. Through the steps of linear interpolation of wind components in meteorology, definition of a coordinated coordinate system, and analysis of wind direction and its angle with the direction of the line section, a lateral wind prediction model for overhead transmission lines is constructed, which perfectly solves the current technical difficulties, is more in line with the actual situation, and has higher model prediction accuracy.

[0117] In yet another embodiment of the present invention, a system for predicting lateral wind on an overhead transmission line is provided, which can be used to implement the above-mentioned method for predicting lateral wind on an overhead transmission line. Specifically, the system includes:

[0118] A data acquisition module is used to obtain the location and line height information of the overhead transmission line, as well as numerical weather forecast data, and calculate the predicted longitudinal and zonal winds at the line height;

[0119] A coordinate system construction module is used to establish a coordinate system that coordinates the transmission line and the numerical forecast wind field;

[0120] An analytical model building module is used to combine the coordinated coordinate system, the longitudinal and zonal wind data at the line height, and the location information of the overhead transmission line to build an analytical model for forecasting wind direction and transmission line segment direction;

[0121] The prediction module is used to establish a line-section-oriented lateral wind prediction model based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal wind and latitudinal wind at the line height, to predict the lateral wind of the overhead transmission line.

[0122] The module division in the embodiments of the present invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in various embodiments of the present invention may be integrated into a single processor, exist physically as separate modules, or two or more modules may be integrated into a single module. The integrated modules may be implemented in either hardware or software functional modules.

[0123] In another embodiment of the present invention, a computer device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of a method for predicting lateral wind of overhead transmission lines.

[0124] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device, used to store programs and data. It is understood that the computer-readable storage medium herein may include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides storage space, which stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for being loaded and executed by a processor. These instructions may be one or more computer programs (including program code). It should be noted that the computer-readable storage medium herein may be high-speed RAM memory or non-volatile memory, such as at least one disk storage device. The processor may load and execute the one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for predicting lateral wind on overhead transmission lines described in the above-mentioned embodiment.

[0125] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in 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-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0126] The present application is described in reference to the flowchart and / or block diagrams of the method, apparatus (system) and computer program product according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagrams, and combinations of blocks in the flowchart 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 device 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 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.

[0127] 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 function 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.

[0128] 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.

[0129] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing the technical solutions of the present application, but not for limiting it. Although the present application is described in detail with reference to the above embodiments, those skilled in the field should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and any modification or equivalent replacement should be covered in the protection scope of the claims of the present application.

Claims

1. A method for predicting lateral wind of overhead transmission lines, characterized in that: include: Obtain the location and height information of overhead transmission lines, as well as numerical weather forecast data, and calculate the predicted meridional and zonal winds at the height of the lines; Establish a coordinate system for transmission lines and numerically predicted wind fields; Combining the coordinated coordinate system, meridional and zonal wind data at line height, and the location information of overhead transmission lines, an analytical model for forecasting wind direction and transmission line segment orientation is constructed. Based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal and latitudinal winds at the line height, a lateral wind prediction model facing the line section is established to predict the lateral wind of the overhead transmission line. The analysis model based on the predicted wind direction and the direction of the transmission line section is combined with the predicted longitudinal wind and latitudinal wind at the height of the line to establish a lateral wind magnitude prediction model for the line section, including: The calculation of the synthetic wind speed at the transmission line height is based on the calculated transmission line height Meridional wind and zonal winds , calculate the size of the composite wind speed based on its orthogonality: （7） The calculation of the angle between the transmission line section and the wind direction is based on the wind direction angle and the transmission line section strike angle , and its values ​​are adjusted Within the interval, in the same coordinate system, the angle α between the transmission line section and the wind direction is calculated as: （8） The angle between the transmission line section and the wind direction is adjusted to Within the range, specifically: （9） The calculation of the lateral wind size facing the transmission line is based on the synthetic wind speed and the angle between the transmission line section and the wind direction. Size: （10）。 2. The method for predicting lateral wind of an overhead transmission line according to claim 1, wherein: The obtaining of the location and height information of the overhead transmission line and numerical weather forecast data includes: The location and height information of the overhead transmission line includes the longitude x and latitude y of each tower of the transmission line, and the height h of the transmission line section; Extract the conventional numerical weather forecast data of the grid corresponding to the line segment: Based on the gridded numerical weather forecast covering the transmission line, according to the longitude and latitude information of the line towers, establish a matching relationship between each line segment and the numerical weather forecast grid, and extract the conventional data of the corresponding grid points from the numerical weather forecast results.

3. The method for predicting lateral wind of an overhead transmission line according to claim 1, wherein: The calculation of the meridional wind and zonal wind forecast at the line height includes: The linear interpolation method is used to calculate the wind component at the height of the transmission line, as shown in formula (1): （1） in, Indicates the height of the transmission line The wind component at the location, i.e., meridional wind or zonal wind; and Two known heights and The wind component at The meridional wind and zonal wind at the line segment are interpolated and calculated respectively. According to the different heights of each line segment, the meridional wind and zonal wind at the line height are calculated respectively. The specific calculation is shown in formula (2): （2） in, and Transmission line height Meridional and zonal winds at and Two known heights and The meridian wind, and There are two known heights and The zonal wind.

4. The method for predicting lateral wind of an overhead transmission line according to claim 1, wherein: The establishment of a coordinate system for coordinating the transmission line and the numerical wind forecasting field includes: The wind component based on numerical weather forecast, i.e., the meridional wind and zonal winds , establish the coordinate system for calculation, as follows: Meridional wind and zonal winds Orthogonal, meridian wind is the wind component along the Earth's longitude, the zonal wind The wind direction is the direction of the wind. The wind direction arrow points to the north at 0°, and when it moves clockwise, the wind direction arrow points to the east at 90°. When the wind direction is 0°, ; When the wind direction is 90°, ; Based on the coordinate system of the wind component of numerical weather forecast, the longitude and latitude information of the transmission line tower is placed on the wind component coordinate system, and the longitude is specified. Changes on the horizontal axis of the coordinate system, latitude Changes on the vertical axis of the coordinate system; when the longitude and latitude changes of adjacent towers are used to represent the direction of the line, the wind direction is agreed to be the direction of the wind, the wind direction arrow points to due north for 0°, and moves clockwise. When the wind direction arrow points to due east, it is 90°. When the wind direction is 0°, ; When the wind direction is 90°, .

5. The method for predicting lateral wind of an overhead transmission line according to claim 1, wherein: The method combines the coordinated coordinate system, the longitudinal wind and latitudinal wind data at the line height, and the location information of the overhead transmission line to construct an analysis model for predicting wind direction and transmission line section direction, including: The wind direction at the line height is calculated based on the wind component coordinate system, and the transmission line height is calculated by Meridional wind and zonal winds , the wind direction corresponding to the line height for: （3） in, is the inverse tangent function; Calculate the direction of each line segment based on the wind component coordinate system, and set any line segment It is made of tower and composed of towers The longitude and latitude coordinates are marked as Tower The longitude and latitude coordinates are marked as ; Line segment Trend for: （4） in, is the inverse tangent function, Represents the change in longitude of the line segment, is the dimensional change of the line segment, which can be calculated from the longitude and latitude coordinates of the towers at both ends of the line segment; Convert the wind direction angle and line segment strike angle to the [0,360] interval and introduce the four-quadrant inverse tangent function Calculate the angle: （5） in, Make the function's value range become On this basis, by adjusting the value range and the conversion between radians and angles, the angle falls between The interval is as shown in formula (6): （6） in, The return result is in radians, multiplied by It will be converted to an angle.

6. The method for predicting lateral wind of an overhead transmission line according to claim 1, characterized in that: The method of predicting the lateral wind of an overhead transmission line comprises: A time- and space-based dual-loop iterative lateral wind forecast is conducted based on the lateral wind model. This dual-loop iterative process is performed for each integral time step of the numerical weather forecast and each section of the transmission line, calculating the lateral wind results for each tower at each forecast moment. For tower-level and minute-level lateral wind forecasts for transmission lines, the system uses the calculated lateral wind results of each integral time step and tower-by-tower iteration to make size judgments based on the wind protection parameters of the line design. When the lateral wind exceeds the design parameters, a refined high wind warning will be issued for that line section and integral time step.

7. A system for predicting lateral wind of overhead transmission lines, characterized in that: include: A data acquisition module is used to obtain the location and line height information of the overhead transmission line, as well as numerical weather forecast data, and calculate the predicted longitudinal and zonal winds at the line height; A coordinate system construction module is used to establish a coordinate system that coordinates the transmission line and the numerical forecast wind field; An analytical model building module is used to combine the coordinated coordinate system, the longitudinal and zonal wind data at the line height, and the location information of the overhead transmission line to build an analytical model for forecasting wind direction and transmission line segment direction; The prediction module is used to establish a line-section-oriented lateral wind prediction model based on the analysis model of the predicted wind direction and the direction of the transmission line section, combined with the predicted longitudinal and latitudinal winds at the line height, to predict the lateral wind of the overhead transmission line; The analysis model based on the predicted wind direction and the direction of the transmission line section is combined with the predicted longitudinal wind and latitudinal wind at the height of the line to establish a lateral wind magnitude prediction model for the line section, including: The calculation of the synthetic wind speed at the transmission line height is based on the calculated transmission line height Meridional wind and zonal winds , calculate the size of the composite wind speed based on its orthogonality: （7） The calculation of the angle between the transmission line section and the wind direction is based on the wind direction angle and the transmission line section strike angle , and its values ​​are adjusted Within the interval, in the same coordinate system, the angle α between the transmission line section and the wind direction is calculated as: （8） The angle between the transmission line section and the wind direction is adjusted to Within the range, specifically: （9） The calculation of the lateral wind size facing the transmission line is based on the synthetic wind speed and the angle between the transmission line section and the wind direction. Size: （10）。 8. 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 predicting lateral wind of an overhead transmission line as claimed in any one of claims 1 to 6 are implemented.

9. 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 predicting lateral wind of an overhead transmission line as claimed in any one of claims 1 to 6 are implemented.

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