阅读说明：本技术 基于电网微地形观测数据的风场校正算法及系统 (Wind field correction algorithm and system based on power grid micro-terrain observation data ) 是由 邸悦伦 章国勇 郭俊 叶钰 于 2020-12-10 设计创作，主要内容包括：本发明公开了基于电网微地形观测数据的风场校正算法及系统,通过从历史数据中获取待观测区域中各个微地形区域的杆塔坐标数据、杆塔处的风场监测数据以及地貌数据；使用杆塔坐标数据、杆塔处的风场监测数据以及地貌数据分别计算各个微地形区域的经向风速单点修正值和纬向风速单点修正值；基于各个微地形区域的经向风速单点修正值和纬向风速单点修正值,计算待观测区域的经向风速校正值和纬向风速校正值,相比现有技术,校正待观测区域的风场时,充分考虑微地形单点风场特异性的同时,并兼顾了区域风场的整体性,使校正的风场值能够更好的补充和完善常规气象观测数据,为电力气象分析和灾害预测管控提供了基础支撑。(The invention discloses a wind field correction algorithm and a system based on power grid micro-terrain observation data, which are used for acquiring tower coordinate data, wind field monitoring data at a tower and landform data of each micro-terrain area in an area to be observed from historical data; respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using tower coordinate data, tower wind field monitoring data and landform data; compared with the prior art, when the wind field of the area to be observed is corrected, the micro-terrain single-point wind field specificity is fully considered, the integrity of the regional wind field is considered, the corrected wind field value can better supplement and perfect conventional meteorological observation data, and basic support is provided for power meteorological analysis and disaster prediction management and control.)

1. A wind field correction algorithm based on power grid micro-terrain observation data is characterized by comprising the following steps:

acquiring tower coordinate data, tower wind field monitoring data and landform data of each micro-terrain area in an area to be observed from historical data;

respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using the tower coordinate data, the tower wind field monitoring data and the landform data;

and calculating a warp wind speed correction value and a weft wind speed correction value of the region to be observed based on the warp wind speed single-point correction value and the weft wind speed single-point correction value of each micro-terrain region.

2. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 1, wherein the tower coordinate data, the tower wind field monitoring data and the topographic data are used for calculating the warp-wise wind speed single-point correction value and the weft-wise wind speed single-point correction value of each micro-terrain area respectively, and specifically comprises the following steps:

for any microtopography area:

calculating the equivalent passing area of the wind field at the micro-terrain entrance, the equivalent passing area of the wind field at the tower and the horizontal dip angle of the valley by using the tower coordinate data and the landform data of the micro-terrain area;

calculating a wind field at the micro-terrain entrance through wind field monitoring data at the tower, a wind field equivalent passing area at the micro-terrain entrance and a wind field equivalent passing area at the tower based on a wind speed change theory of a Bernoulli equation;

and respectively calculating the warp-wise wind speed single-point correction value and the weft-wise wind speed single-point correction value of the micro-terrain based on the wind field at the entrance of the micro-terrain and the horizontal dip angle of the valley.

3. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 2, characterized in that the wind field at the micro-terrain entrance is calculated through wind field monitoring data at the tower, the wind field equivalent passing area at the micro-terrain entrance and the wind field equivalent passing area at the tower, and is realized through the following formula:

wherein, V_RRepresenting the wind field at the entrance to the microtopography, S_RRepresenting the equivalent area of passage, V, of the wind field at the entrance of the microtopography_TRepresenting wind field monitoring data, S, at the tower_TAnd representing the equivalent passing area of the wind field at the tower.

4. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 2, wherein the tower coordinate data comprises longitude coordinates, latitude coordinates and altitude of a tower, and the topographic data is digital elevation topographic data; calculating the equivalent passing area of the wind field at the micro-terrain entrance by using the tower coordinate data and the landform data of the micro-terrain area, and the method comprises the following steps:

identifying the highest point longitude, latitude and altitude of the nearest crest of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method based on the tower coordinate data;

calculating the peak span and the equivalent hill length of the micro-terrain corresponding to the tower according to the highest point longitude, latitude and altitude of the nearest peak of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the entrance of the microtopography based on the peak span and the equivalent hill length of the microtopography.

5. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 2, wherein the tower coordinate data comprises longitude coordinates, latitude coordinates and altitude of a tower, and the topographic data is digital elevation topographic data; calculating the equivalent passing area of the wind field at the micro-terrain tower by using the tower coordinate data and the landform data of the micro-terrain area, and specifically comprising the following steps:

based on the tower coordinate data, recognizing the lowest point longitude, latitude and altitude of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method;

calculating the span of the tower and the distance from the tower top to the valley based on the coordinate data of the tower, the height of the tower and the longitude, the latitude and the altitude of the lowest point of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the micro-terrain tower according to the span of the tower and the distance from the tower top to the valley.

6. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 4 or 5, characterized in that if the towers on two sides of the valley are symmetrical, the equivalent passing area of the wind field at the micro-terrain towers is a triangular area taking the towers on two sides and the lowest point of the tower closest to the valley as the vertex; if the towers on the two sides of the valley are symmetrical, the equivalent passing area of the wind field at the tower of the micro-topography is twice of the area of a right-angled triangle formed by the tower on the side with higher altitude and the vertical center line of the valley.

7. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 2, wherein the tower coordinate data comprises longitude coordinates, latitude coordinates and altitude of a tower, and the topographic data is digital elevation topographic data; calculating a valley horizontal inclination angle at the micro-terrain tower by using the tower coordinate data and the landform data of the micro-terrain area; the method comprises the following steps:

based on the tower coordinate data, recognizing the lowest point longitude, latitude and altitude of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method;

based on the tower coordinate data and the longitude, latitude and altitude of the lowest point of the nearest valley of the tower; and calculating an included angle between a connecting line between the tower and the valley and the horizontal plane as a horizontal dip angle of the valley.

8. The wind field correction algorithm based on power grid micro-terrain observation data according to claim 1, characterized in that a warp-wise wind speed correction value and a weft-wise wind speed correction value of a region to be observed are calculated based on the warp-wise wind speed single-point correction value and the weft-wise wind speed single-point correction value of each micro-terrain region, and are realized by the following formulas:

wherein u is the meridional wind speed correction average value of the region to be observed, n represents the number of the micro-terrain regions, and u₁,..,u_nRespectively representing warp-wise wind speed single-point corrected values of the 1 st to nth micro-terrain areas; v is the corrected average value of the latitudinal wind speed of the area to be observed, v₁,..,v_nRespectively represent the warp-wise wind speed single-point corrected values of the 1 st to the nth micro-terrain areas.

9. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 8 are performed when the computer program is executed by the processor.

Technical Field

The invention relates to the technical field of electrical engineering, in particular to a wind field correction algorithm and a wind field correction system based on power grid micro-terrain observation data.

Background

For a long time, the analysis and prediction of power grid microtopography disasters are deeply limited by meteorological observation data. On one hand, the conventional meteorological data which can be publicly acquired at present are mainly generated by station observation data of a meteorological department, but are caused by the reasons of uneven distribution of meteorological observation stations, lack of conventional observation data of micro-terrain areas in mountainous areas, limitation of a data difference method and the like, and the conventional meteorological data have certain defects when accurately describing meteorological features of the micro-terrain areas with multiple disasters of the power transmission line, and need to be corrected and supplemented objectively; on the other hand, the power enterprises install the meteorological observation device on the transmission line tower in the micro-terrain area, can acquire meteorological data of the place, but is limited by the data quality control level, a large amount of original observation data are treated as problem data and singular values, and can not be effectively merged into conventional meteorological data, and can not play a role in effectively improving the data quality of the background field, so that the data waste and the data abandonment are caused. The two problems cause structural data imbalance in the power grid disaster analysis and control process, and especially, the analysis influence on meteorological elements which can cause disasters in wind fields and are important indexes of other power grid disasters such as lightning stroke and rainstorm is particularly obvious.

Therefore, the existing meteorological wind field is deficient in data and inaccurate, and the technical problem to be solved urgently in the technical field is that meteorological characteristics of micro-terrain areas with frequent transmission of power transmission line disasters cannot be accurately described.

Disclosure of Invention

The invention provides a wind field correction algorithm and a wind field correction system based on power grid micro-terrain observation data, which are used for solving the technical problems that the existing meteorological wind field is deficient in data and not accurate enough, and the meteorological characteristics of a micro-terrain area with frequent transmission line disasters cannot be accurately described, and the technical problems to be solved in the technical field are urgently solved.

In order to solve the technical problems, the technical scheme provided by the invention is as follows:

a wind field correction algorithm based on power grid micro-terrain observation data comprises the following steps:

acquiring tower coordinate data, tower wind field monitoring data and landform data of each micro-terrain area in an area to be observed from historical data;

respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using tower coordinate data, tower wind field monitoring data and landform data;

and calculating a warp wind speed correction value and a weft wind speed correction value of the region to be observed based on the warp wind speed single-point correction value and the weft wind speed single-point correction value of each micro-terrain region.

Preferably, the method comprises the following steps of respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using tower coordinate data, tower wind field monitoring data and landform data:

for any microtopography area:

calculating the equivalent passing area of the wind field at the entrance of the micro-topography, the equivalent passing area of the wind field at the tower and the horizontal dip angle of the valley by using the tower coordinate data and the landform data of the micro-topography area;

calculating a wind field at the micro-terrain entrance through wind field monitoring data at the tower, a wind field equivalent passing area at the micro-terrain entrance and a wind field equivalent passing area at the tower based on a wind speed change theory of a Bernoulli equation;

and respectively calculating the warp-wise wind speed single-point correction value and the weft-wise wind speed single-point correction value of the micro-terrain based on the wind field at the entrance of the micro-terrain and the horizontal dip angle of the valley.

Preferably, the wind field at the micro-terrain entrance is calculated through wind field monitoring data at the tower, the wind field equivalent passing area at the micro-terrain entrance and the wind field equivalent passing area at the tower, and is realized through the following formula:

wherein, V_RRepresenting the wind field at the entrance to the microtopography, S_RRepresenting the equivalent area of passage, V, of the wind field at the entrance of the microtopography_TRepresenting wind field monitoring data, S, at the tower_TAnd the equivalent passing area of the wind field at the tower is shown.

Preferably, the tower coordinate data comprises longitude coordinates, latitude coordinates and altitude of the tower, and the landform data is digital elevation landform data; calculating the equivalent passing area of the wind field at the entrance of the micro-terrain by using the tower coordinate data and the landform data of the micro-terrain area, and comprising the following steps of:

identifying the highest point longitude, latitude and altitude of the nearest crest of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method based on the tower coordinate data;

calculating the peak span and the equivalent hill length of the tower corresponding to the microtopography according to the highest point longitude, latitude and altitude of the nearest peak of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the entrance of the microtopography based on the mountain peak span and the equivalent hillside length of the microtopography.

Preferably, the tower coordinate data comprises longitude coordinates, latitude coordinates and altitude of the tower, and the landform data is digital elevation landform data; the method comprises the following steps of calculating the equivalent passing area of a wind field at a micro-terrain tower by using tower coordinate data and landform data of the micro-terrain area, and specifically comprises the following steps:

identifying the longitude, the latitude and the altitude of the lowest point of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method based on the coordinate data of the tower;

calculating the span of the tower and the distance from the tower top to the valley based on the coordinate data of the tower, the height of the tower and the longitude, the latitude and the altitude of the lowest point of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the micro-terrain tower according to the span of the tower and the distance from the tower top to the valley.

Preferably, if the towers on two sides of the valley are symmetrical, the equivalent passing area of the wind field at the tower of the micro-topography is a triangular area taking the towers on two sides and the lowest point of the tower closest to the valley as the vertex; if the towers on two sides of the valley are symmetrical, the equivalent passing area of the wind field at the tower of the micro-topography is twice of the area of a right-angled triangle formed by the tower on the side with higher altitude and the vertical central line of the valley.

Preferably, the tower coordinate data comprise longitude coordinates, latitude coordinates and altitude of the tower, and the landform data are digital elevation landform data; calculating a valley horizontal inclination angle at the micro-terrain tower by using tower coordinate data and landform data of the micro-terrain area; the method comprises the following steps:

identifying the longitude, the latitude and the altitude of the lowest point of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method based on the coordinate data of the tower;

based on the coordinate data of the tower and the longitude, latitude and altitude of the lowest point of the nearest valley of the tower; and calculating the included angle between the connecting line between the tower and the valley and the horizontal plane as the horizontal dip angle of the valley.

Preferably, the warp wind speed correction value and the weft wind speed correction value of the area to be observed are calculated based on the warp wind speed single-point correction value and the weft wind speed single-point correction value of each micro-terrain area, and the calculation is realized through the following formulas:

wherein u is the meridional wind speed correction average value of the region to be observed, n represents the number of the micro-terrain regions, and u₁,..,u_nRespectively representing warp-wise wind speed single-point corrected values of the 1 st to nth micro-terrain areas; v is the corrected average value of the latitudinal wind speed of the area to be observed, v₁,..,v_nRespectively represent the warp-wise wind speed single-point corrected values of the 1 st to the nth micro-terrain areas.

A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.

The invention has the following beneficial effects:

1. according to the wind field correction algorithm and system based on power grid micro-terrain observation data, tower coordinate data of each micro-terrain area in an area to be observed, wind field monitoring data at a tower and landform data are obtained from historical data; respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using the tower coordinate data, the tower wind field monitoring data and the landform data; compared with the prior art, when the wind field of the area to be observed is corrected, the micro-terrain single-point wind field specificity is fully considered, the integrity of the regional wind field is considered, the corrected wind field value can better supplement and perfect conventional meteorological observation data, and basic support is provided for power meteorological analysis and disaster prediction management and control.

In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:

FIG. 1 is a flow chart of a wind field correction algorithm based on grid microtopography observation data in a preferred embodiment of the invention;

fig. 2 is a schematic view of a constructed micro-terrain wind field correction model in a preferred embodiment of the present invention.

Detailed Description

The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.

The first embodiment is as follows:

as shown in fig. 1, in this embodiment, a wind field correction algorithm based on power grid microtopography observation data is disclosed, which includes the following steps:

acquiring tower coordinate data, tower wind field monitoring data and landform data of each micro-terrain area in an area to be observed from historical data;

respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using the tower coordinate data, the tower wind field monitoring data and the landform data;

and calculating a warp wind speed correction value and a weft wind speed correction value of the region to be observed based on the warp wind speed single-point correction value and the weft wind speed single-point correction value of each micro-terrain region.

In addition, in the embodiment, a computer system is also disclosed, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps of the method are implemented.

According to the wind field correction algorithm and system based on power grid micro-terrain observation data, tower coordinate data of each micro-terrain area in an area to be observed, wind field monitoring data at a tower and landform data are obtained from historical data; respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using the tower coordinate data, the tower wind field monitoring data and the landform data; compared with the prior art, when the wind field of the area to be observed is corrected, the micro-terrain single-point wind field specificity is fully considered, the integrity of the regional wind field is considered, the corrected wind field value can better supplement and perfect conventional meteorological observation data, and basic support is provided for power meteorological analysis and disaster prediction management and control.

Example two:

in the embodiment, a wind field correction algorithm based on power grid micro-terrain observation data is disclosed, wherein the wind field correction algorithm corrects and calculates a regional background wind field by considering tower meteorological observation characteristics and terrain environment information and based on a Bernoulli equation wind speed change theory and a terrain fuzzy analysis method, so that automatic identification is realized. The calculation result can improve the quality of wind field observation data, meet the requirement of deep mining of data value, reduce a large amount of abandonment of original data caused by improper processing and power grid disaster analysis misalignment caused by lack of data foundation, and reduce structural data imbalance in the power grid disaster analysis and control process.

The method specifically comprises the following steps:

1. collecting the environmental data of the power transmission line micro-terrain in the area to be observed, and dividing the micro-terrain in the area to be observed. The collected power transmission line micro-terrain environment data comprises power transmission line wind field monitoring data, topographic data and pole tower coordinate data, wherein the power transmission line wind field monitoring data mainly refers to local area wind field data which are acquired by a meteorological monitoring device arranged on a line pole tower in a micro-terrain area of a mountainous area or actually measured by field operation and maintenance personnel, the topographic data mainly refers to numerical elevation topographic data of the micro-terrain area, and the pole tower coordinate data mainly refers to longitude, latitude and altitude data of the line pole tower in the micro-terrain area;

in this embodiment, the micro-terrain area to be observed may be divided according to practical experience, and in general, for a line crossing a valley, in order to ensure the safety of the line, towers may be deployed at places where the altitude at both sides of the valley is similar, so the tower on one side of the valley generally has a tower opposite to the valley, and a triangular wind field passing area may be formed. In this embodiment, the micro-terrain area is divided by using valleys with towers with monitoring data of the wind field of the power transmission line deployed on both sides, that is, the valleys with towers with monitoring data of the wind field of the power transmission line deployed on both sides and the peaks on both sides are a micro-terrain area.

Namely, a tower with monitoring data of a wind field of the power transmission line, a nearest valley and a peak surrounding the valley are a micro-terrain area;

2. and establishing an observation wind field correction basic model. According to bernoulli's equation:

wherein, V_RRepresenting the wind field at the entrance to the microtopography, S_RRepresenting the equivalent area of passage, V, of the wind field at the entrance of the microtopography_TRepresenting wind field monitoring data, S, at the tower_TAnd representing the equivalent passing area of the wind field at the tower.

If the difference between the equivalent passing area of the wind field at the micro-terrain entrance and the equivalent passing area of the wind field at the micro-terrain pole tower is large, the wind speed at the pole tower and the wind field at the micro-terrain entrance are greatly different. For a micro-terrain tower with wind field monitoring data at a certain position, when the wind field to be measured is known, the sum of the wind field at the entrance of the micro-terrain tower must be determined. Establishing a schematic diagram of a micro-terrain wind field correction model shown in FIG. 2; in the schematic diagram, a triangular section formed by the highest points of two mountain peaks and the lowest points of a valley is taken as a wind field at an entrance of a micro-terrain, and triangular sections formed by the highest points of the tower top and the lowest points of the valley at two sides of the valley are taken as equivalent passing areas of the wind field at the tower.

Specifically, if the towers on two sides of the valley are symmetrical, the equivalent passing area of the wind field at the tower of the micro-topography is a triangular area taking the towers on two sides and the lowest point of the tower closest to the valley as the vertex; if the towers on two sides of the valley are symmetrical, the equivalent passing area of the wind field at the tower of the micro-topography is twice of the area of a right-angled triangle formed by the tower on the side with higher altitude and the vertical central line of the valley.

3. Calculating the equivalent passing area of the wind field at the micro-terrain entrance, the equivalent passing area of the wind field at the tower and the horizontal dip angle of the valley by using the tower coordinate data and the landform data of the micro-terrain area;

and 3.1, calculating the equivalent passing area of the wind field at the micro-terrain entrance. According to the pole tower coordinate data in the step 1, determining longitude and latitude coordinates of the pole tower on the opposite side of the microtopography, positioning a mountain region where the pole tower is located, and identifying the highest point longitude, latitude and altitude of the nearest crest of the pole tower and the lowest point longitude, latitude and altitude of the nearest valley of the pole tower from the numerical elevation terrain data in the step 1. Respectively calculating the peak span and the equivalent hill length according to the three-dimensional coordinates, and finally calculating the equivalent passing area of the wind field at the entrance of the microtopography;

the method comprises the following steps:

identifying the highest point longitude, latitude and altitude of the nearest crest of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower from the digital elevation terrain data of the microtopography by a terrain fuzzy analysis method based on the tower coordinate data;

calculating the peak span and the equivalent hill length of the micro-terrain corresponding to the tower according to the highest point longitude, latitude and altitude of the nearest peak of the tower and the lowest point longitude, latitude and altitude of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the entrance of the microtopography based on the peak span and the equivalent hill length of the microtopography.

And 3.2, calculating the equivalent passing area of the wind field at the micro-terrain tower. Determining longitude, latitude and altitude coordinates of the tower on the opposite side of the microtopography and the lowest point longitude, latitude and altitude of the nearest valley of the tower determined in the step 3.1 according to the tower coordinate data in the step 1, respectively calculating the span of the tower and the distance from the tower top to the valley, and finally calculating the equivalent passing area of the wind field at the microtopography tower;

the method comprises the following steps:

calculating the span of the tower and the distance from the tower top to the valley based on the coordinate data of the tower, the height of the tower and the longitude, the latitude and the altitude of the lowest point of the nearest valley of the tower;

and calculating the equivalent passing area of the wind field at the micro-terrain tower according to the span of the tower and the distance from the tower top to the valley.

And 3.3, calculating the horizontal dip angle of the valley. And (3) according to the numerical elevation terrain data in the step (1), forming a valley line with a connection line of the lowest point of a valley spanned by the side pole tower on the opposite side of the microtopography, and calculating an included angle between the line and the longitude and latitude grid to obtain a horizontal dip angle of the valley. Namely: based on the tower coordinate data and the longitude, latitude and altitude of the lowest point of the nearest valley of the tower; and calculating an included angle between a connecting line between the tower and the valley and the horizontal plane as a horizontal dip angle of the valley.

4. And calculating the micro-terrain entrance wind field. Substituting the equivalent passing area of the wind field at the micro-terrain entrance, the equivalent passing area of the wind field at the tower and the wind field monitoring data at the tower into a bernoulli equation according to the wind field monitoring data of the power transmission line obtained in the step 1 and the key sectional area calculated in the step 3.1-3.2, namely the equivalent passing area of the wind field at the micro-terrain entrance and the equivalent passing area of the wind field at the tower, and calculating the wind field at the micro-terrain entrance;

5. and calculating a single-point correction value of the background wind field. And (4) respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value according to the valley direction component of the background wind field obtained in the step (4) and the valley horizontal inclination angle obtained in the step (3.3).

6. And calculating a regional background wind field correction value. Determining the number of the micro-terrain towers with wind field monitoring data in the selected region to be observed, respectively executing the steps 2-5 on each tower, respectively obtaining the warp-wise wind speed single-point correction value sequence and the weft-wise wind speed single-point correction value sequence of each micro-terrain region, and calculating the warp-wise wind speed correction average value and the zonal-wise wind speed correction average value of each micro-terrain region, so as to obtain the background wind field observation correction value of the region to be observed.

Calculating a warp wind speed correction value and a weft wind speed correction value of the area to be observed based on the warp wind speed single-point correction value and the weft wind speed single-point correction value of each micro-terrain area, and realizing the following formulas:

wherein u is the meridional wind speed correction average value of the region to be observed, n represents the number of the micro-terrain regions, and u₁,..,u_nRespectively representing warp-wise wind speed single-point corrected values of the 1 st to nth micro-terrain areas; v is the corrected average value of the latitudinal wind speed of the area to be observed, v₁,..,v_nRespectively represent the warp-wise wind speed single-point corrected values of the 1 st to the nth micro-terrain areas.

In summary, according to the wind field correction algorithm and system based on the power grid micro-terrain observation data, the tower coordinate data of each micro-terrain area in the area to be observed, the wind field monitoring data at the tower and the landform data are obtained from the historical data; based on a terrain fuzzy analysis method and a wind speed change theory of Bernoulli equation, respectively calculating a warp-wise wind speed single-point correction value and a weft-wise wind speed single-point correction value of each micro-terrain area by using the tower coordinate data, the tower wind field monitoring data and the landform data; compared with the prior art, when the wind field of the area to be observed is corrected, the micro-terrain single-point wind field specificity is fully considered, the integrity of the regional wind field is considered, the corrected wind field value can better supplement and perfect conventional meteorological observation data, and basic support is provided for power meteorological analysis and disaster prediction management and control.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.