CN-122022136-A - Mountain region wind power global wind resource assessment method

CN122022136ACN 122022136 ACN122022136 ACN 122022136ACN-122022136-A

Abstract

A method for evaluating the wind resources of a mountain region wind power domain includes such steps as obtaining the topographic data, building the reasonable region of the vertical gradient of wind speed in mountain region, examining and eliminating the unsuitable region, marking the risk early warning region, deploying high-frequency unmanned aerial vehicle cluster and enciphered miniature sensor, developing long-term dynamic monitoring, checking the monitored data, synchronous implementing seasonal special monitoring, primary screening the candidate wind points in the monitored region, secondary screening the candidate wind points to form multiple candidate points, building the model of topographic and meteorological coupling interpolation, inputting the monitored data to generate high-resolution global wind resource map, developing turbulence influence quantification and high-altitude environmental correction based on the global wind resource map, classifying the candidate points by comprehensive scoring system, and determining the number of installation points and optimal installation points. The evaluation method can cancel the setting of the anemometer tower and realize the evaluation of wind resources in each region of the project.

Inventors

WANG YANG
TANG JIANJUN
ZHAO WENBIN
LIU WEN
JIANG TAO
XIONG YINING
LUO LUMING
WU CHANGHONG

Assignees

三峡新能源(凤凰)发电有限公司

Dates

Publication Date: 20260512
Application Date: 20260115

Claims (10)

1. The method for evaluating the global wind resource of the mountain wind power is characterized by comprising the following steps of: Step one, performing early investigation, obtaining topographic data and constructing a mountain wind speed vertical gradient reasonable interval; step two, checking and removing unsuitable areas, and marking risk early-warning areas; Step three, deploying a high-frequency unmanned aerial vehicle cluster and an encryption micro sensor, and setting unmanned aerial vehicle peak shifting operation; Step four, developing long-term dynamic monitoring, checking monitoring data according to a process of firstly judging real wind conditions and then verifying equipment deviation, and synchronously implementing season special monitoring; Fifthly, based on the monitoring data, primarily screening wind resource candidate points in the monitoring area; Step six, re-screening the wind resource primary screening points through wake interference screening and construction cost evaluation to form a plurality of candidate points; step seven, constructing a terrain and weather coupling interpolation model, inputting monitoring data, and interpolating to generate a high-resolution global wind resource map; step eight, carrying out turbulence influence quantification and high-altitude environment correction based on the global wind resource map, and grading candidate points through a comprehensive grading system; And step nine, according to the project total power generation target and the single-point estimated power generation, reversely pushing the number of the required installation points to determine the optimal installation points.
2. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein in the first step, the unmanned aerial vehicle carrying the detection device scans the global area of the project area to obtain the topographic data including gradient, slope direction and surface roughness; The pre-scanning measurement is carried out through the unmanned aerial vehicle, multi-elevation wind speed data of different terrain units and different time periods are collected, and a mountain wind speed vertical gradient reasonable interval is constructed based on the wind speed data.
3. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein in the second step, the investigation and elimination of unsuitable areas includes elimination of a region with exceeding grade in a project area, an ecologically sensitive region, a region with exposed rock, and a region with unqualified safety and noise control distance; identifying a valley turning position, a turbulence high-rise region and a winter reverse temperature attenuation region in the project region, and marking the mountain valley turning position, the turbulence high-rise region and the winter reverse temperature attenuation region as risk early warning regions, wherein the risk early warning regions are used as key data acquisition objects for subsequent wind condition monitoring.
4. The method for evaluating the global wind resources of the mountain wind power is characterized in that in the third step, the high-frequency unmanned aerial vehicle cluster comprises a plurality of main unmanned aerial vehicles and at least one standby unmanned aerial vehicle, and peak-shifting sweeping modes of the main unmanned aerial vehicles in different areas and different time periods are set; The encryption microsensors are preferentially distributed in uniform terrain areas and mainly cover dead zones of unmanned aerial vehicles, and are installed in a soil embedding or rock pasting mode.
5. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein the step four of dynamically monitoring and data checking comprises: Carrying out long-term dynamic monitoring covering four seasons by taking 12 months as a period; extracting unmanned plane sweep data in a preset range around a sensor and sensor synchronous near-ground wind speed data in each hour, and calling a mountain wind speed vertical gradient reasonable interval to judge wind speed rationality; for the data exceeding the interval, the special wind condition is checked by calling the turbulence data of the unmanned aerial vehicle and the peripheral sensor data; And after the special wind conditions are eliminated, scheduling other unmanned aerial vehicles for cross-validation to judge equipment deviation, calibrating deviation equipment and updating model parameters.
6. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein when the candidate points of wind resources are initially screened in the fifth step, the method comprises the following steps: extracting wind resource core indexes of each monitoring point, wherein the wind resource core indexes comprise preset high Cheng Nianjun wind speed, wind direction stability and turbulence intensity; And setting screening thresholds of all core indexes, screening monitoring points with good air-out resources and controllable risks, and determining the monitoring points as primary screening points of the air resources.
7. The method for evaluating the global wind resources of the mountain wind power according to claim 1, wherein when the wind resource primary screening points of the sixth pair are rescreened, the method comprises the following steps: acquiring primary screening point position coordinates and diameter parameters of a fan impeller, setting safety interval standards of adjacent points based on wake characteristics of the fan, calculating point position intervals through a geographic information system, and eliminating primary screening points with unqualified intervals; Determining construction cost evaluation indexes including terrain flatness, transportation convenience and foundation excavation difficulty, constructing a cost scoring system to score the primary screening points, and eliminating the primary screening points with the scores not reaching standards to form candidate points.
8. The method for evaluating the global wind resources of the mountain wind power according to claim 1 is characterized in that when a terrain and weather coupling interpolation model is constructed in the seventh step, gradient, slope and surface roughness obtained in the earlier stage of investigation are used as weight factors, are integrated into a Kriging interpolation algorithm, and are used for constructing the terrain and weather coupling interpolation model; When the high-resolution global wind resource map is generated, data acquired by the unmanned aerial vehicle and data acquired by the sensor are input into a terrain and weather coupling interpolation model, gaussian variation function is adopted for interpolation calculation, the global wind resource map with preset resolution is generated, and the average wind speed, the average wind direction and the turbulence intensity of multiple elevations in the resolution are marked by the global wind resource map.
9. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein in the eighth step, when candidate point classification is performed, the method comprises the following steps: extracting a plurality of groups of fan point position data with different turbulence intensities from a global wind resource map, fitting a correlation formula of the turbulence intensity and the power generation loss by combining the actual power generation data of similar projects, and quantifying the turbulence influence; Fitting a correlation curve of temperature and air density based on temperature data acquired by a sensor to obtain wind speed correction coefficients at different temperatures, so as to realize high altitude environment correction; And constructing a comprehensive scoring system with wind resource potential, risk control capability, construction cost and terrain suitability, and scoring candidate points and classifying the candidate points into different grades.
10. The method for evaluating global wind resources of mountain wind power according to claim 1, wherein in step nine, the number of required installation points is reversely deduced according to the project total power generation target and the single-point estimated power generation, and the optimal installation points are determined, and the method comprises the following steps: determining a project total power generation amount target X, and reversely pushing the number of installation points required by meeting the total power generation amount target according to the principle of selecting high-level point positions according to the priority based on the candidate point position grading result and the corrected single-point annual power generation amount; and (5) combining the actual accommodation capacity adjustment point combinations of the project areas to determine the optimal installation point.

Description

Mountain region wind power global wind resource assessment method Technical Field The invention belongs to the technical field of mountain wind power, and particularly relates to a method for evaluating global wind resources of mountain wind power. Background In mountain region wind power project development, factors such as topography, turbulence, altitude, strong gusts and the like can all influence the generated energy of the fan. Therefore, the method needs to accurately acquire global wind resource data, accurately pre-judge the actual power generation potential of each fan point, provide reliable basis for fan point location and model selection, and avoid project income lower than expected due to misjudgment of wind conditions. Currently, wind resource assessment for mountain region wind power mainly depends on traditional steel wind towers, namely 3-5 wind towers with the height of 80-120m are distributed in a project area, sensors such as anemometers, anemometers and the like are installed on each wind tower at different heights, wind resource data of monitoring points are obtained through continuous static monitoring for 6-12 months, global wind conditions are estimated by combining topography based on the single-point data, and the generating capacity of the whole project is estimated. However, the coverage range of the wind measuring tower is limited, the mountain terrain is broken, the wind speed difference of different slope positions and different micro-terrains in the same area can reach 2-3m/s, but the effective representative range of a single wind measuring tower is usually only within 1km2, only single-point turbulence data can be recorded, the 3-5 wind measuring towers cannot cover the whole area, and the whole area turbulence distribution rule cannot be reflected. In addition, the construction cost of a single seat of the traditional wind measuring tower reaches 50-80 ten thousand yuan, and the wind measuring tower is difficult to transport and deploy in the candidate points of the wind turbines such as steep hillsides and dense forest coverage areas, so that the wind measuring tower has high construction cost, poor terrain suitability and monitoring blind areas, and further the global wind resource assessment is incomplete and inaccurate. Disclosure of Invention The invention provides a method for evaluating global wind resources of mountain wind power, which aims to solve the problems of difficult construction, high cost and inaccurate measurement of a traditional wind measuring tower. In order to solve the technical problems, the invention adopts the following technical scheme: a mountain region wind power global wind resource assessment method comprises the following steps: Step one, performing early investigation, obtaining topographic data and constructing a mountain wind speed vertical gradient reasonable interval; step two, checking and removing unsuitable areas, and marking risk early-warning areas; Step three, deploying a high-frequency unmanned aerial vehicle cluster and an encryption micro sensor, and setting unmanned aerial vehicle peak shifting operation; Step four, developing long-term dynamic monitoring, checking monitoring data according to a process of firstly judging real wind conditions and then verifying equipment deviation, and synchronously implementing season special monitoring; Fifthly, based on the monitoring data, primarily screening wind resource candidate points in the monitoring area; Step six, re-screening the wind resource primary screening points through wake interference screening and construction cost evaluation to form a plurality of candidate points; step seven, constructing a terrain and weather coupling interpolation model, inputting monitoring data, and interpolating to generate a high-resolution global wind resource map; step eight, carrying out turbulence influence quantification and high-altitude environment correction based on the global wind resource map, and grading candidate points through a comprehensive grading system; And step nine, according to the project total power generation target and the single-point estimated power generation, reversely pushing the number of the required installation points to determine the optimal installation points. Further, in the first step, global scanning is performed on the project area by an unmanned plane carrying detection equipment, so as to obtain terrain data including gradient, slope direction and surface roughness; The pre-scanning measurement is carried out through the unmanned aerial vehicle, multi-elevation wind speed data of different terrain units and different time periods are collected, and a mountain wind speed vertical gradient reasonable interval is constructed based on the wind speed data. Further, in the second step, the investigation and elimination of unsuitable areas include elimination of a slope exceeding area, an ecology sensitive area, a rock bare area and a safety and noise con