Wind power plant-oriented field recommendation method and system

Abstract

The invention relates to the technical field of wind power, and provides a wind power plant-oriented field recommendation method and system, and the method comprises the steps: selecting the type of a fan for each candidate field, determining the number of fans based on the parameters of the type and a wind resource map, and carrying out the arrangement of the fans; for each fan in each candidate field area, after a fan power curve is determined based on the type parameters, the fan power curve is reduced based on the air density of the candidate field area; on the basis of the reduced fan power curve and the wind resource map, calculating the number of annual online hours of each fan; for each candidate field area, calculating the average number of the annual on-line hours of all the fans to obtain the average on-line hours of the field area, and calculating the annual total generating capacity of the candidate field area based on the product of the average on-line hours of the field area, the number of the fans and the rated power of the fans; and carrying out descending sorting on the candidate fields according to the average internet surfing hours of the fields, and displaying the annual total generating capacity. And the user can more accurately know the feasibility of the field area.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind farms, and in particular relates to a method and system for recommending wind farm areas. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Currently, users need to complete a series of manual operations, and even need to combine multiple software to operate. The lack of automation and intelligent support leads to a series of challenges in the site selection of wind farms, including the integration of multi-source data for site selection, the rationality and efficiency of wind tower layout, and the differentiated application of site selection algorithms. The existing technology has some shortcomings in dealing with these challenges: First, existing technologies have limitations in integrating information such as topographic data of wind power bases, wind energy resource evaluation results, land use type data of wind power bases, and key development areas. Current methods lack efficient models to integrate these multi-source data, making it impossible to quickly carry out regional planning, site screening, wind turbine deployment, and other tasks.

[0004] Secondly, existing technologies are unable to quickly calculate the power generation and potential of different sites based on the distribution of wind resources, resulting in unscientific and inefficient site selection.

[0005] In addition, there are problems with the number of wind tower recommendations and site selection. Existing technologies fail to fully consider the topography, area size, and wind resource distribution of the project area, resulting in insufficient intelligence in the layout of wind towers. The shortcomings of the automatic site selection algorithm are that it fails to distinguish between plains and mountains, and fails to consider the impact of terrain and slope. In addition, the existing algorithm fails to automatically avoid restrictive factors such as lakes, waters, settlements, and highways in the area when arranging wind towers, and lacks support for customized layout parameters. Summary of the invention

[0006] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a site recommendation method and system for wind farms. Through machine model parameters and wind resource maps, the annual total power generation and grid-connected hours of each site can be estimated, and development timing recommendations can be made based on the grid-connected hours, so that users can understand the feasibility of the site more accurately.

[0007] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a method for recommending a wind farm site, comprising: Obtain several candidate sites and a wind resource map of each candidate site; For each candidate site, select the model of wind turbines, and based on the model parameters and wind resource map, determine the number of wind turbines and arrange them; For each wind turbine in each candidate site, after determining the wind turbine power curve based on the model parameters, the wind turbine power curve is discounted based on the air density of the candidate site to obtain the discounted wind turbine power curve; based on the discounted wind turbine power curve and the wind resource map of the candidate site, the annual grid-connected hours of each wind turbine are calculated; for each candidate site, the average annual grid-connected hours of all wind turbines is calculated to obtain the average grid-connected hours of the site, and the annual total power generation of the candidate site is calculated based on the product of the average grid-connected hours of the site, the number of wind turbines and the rated power of the wind turbines; According to the average grid-connected hours of the site, the candidate sites are sorted in descending order, and the total annual power generation of each candidate site is displayed.

[0008] Furthermore, it also includes: screening and / or adjusting the scope of candidate sites through sensitive factor screening, land type restrictions, wind farm factor exclusion and existing project restrictions.

[0009] Furthermore, the calculation step of the annual online hours of the wind turbine includes: Get the hourly wind speed of the candidate site; Based on the discounted wind turbine power curve, for each hour of wind speed in the candidate site, the corresponding wind turbine power is added up for all hours in a year to obtain the annual grid-connected hours of the wind turbine.

[0010] Furthermore, the calculation step of the annual online hours of the wind turbine includes: Set the effective wind speed interval and divide the effective wind speed interval into several small intervals; For any cell interval, the starting point of the cell interval is The end point of the cell is , calculate the mean value between cells ; According to the average wind speed of the candidate site, the shape parameter and scale parameter of the Weibull distribution of wind speed are estimated; Based on the mean value, shape parameter and scale parameter between cells, calculate The corresponding cumulative distribution function value ; based on , shape parameter and scale parameter, calculate the cumulative distribution function value ; Calculates the difference between cumulative distribution function values ; Combining ΔCDF, the reduced wind turbine power curve, wind turbine rated power and annual hours, the interval grid-connected hours are calculated; The annual online hours of the wind turbine are obtained by summing up the online hours corresponding to all small intervals.

[0011] Furthermore, it also includes selecting a site for a wind tower in the candidate site, and the method for selecting a site for a wind tower includes: If the wind turbine layout is not selected, the horizontal distance index is determined according to the terrain in the candidate site, and whether there is an avoidance factor in the upwind area is considered; according to the terrain elevation data, the area with a medium altitude is screened out; it is determined whether there is any obstruction in the main wind direction of the area with a medium altitude, and avoid selecting the area with obstruction in the upwind direction when selecting the site for the wind tower; If the wind turbine layout has been selected, the horizontal distance index is determined according to the terrain and wind turbine coverage within the candidate site; when considering elevation centering and terrain shielding, the elevation is used for judgment.

[0012] A second aspect of the present invention provides a wind farm-oriented site recommendation system, comprising: A data acquisition module is configured to: acquire a number of candidate sites and a wind resource map of each candidate site; A wind turbine setting module is configured to: for each candidate site, select a wind turbine model, and determine the number of wind turbines and arrange the wind turbines based on the model parameters and the wind resource map; The estimation module is configured to: for each wind turbine in each candidate site, after determining the wind turbine power curve based on the model parameters, reduce the wind turbine power curve based on the air density of the candidate site to obtain the reduced wind turbine power curve; calculate the annual grid-connected hours of each wind turbine based on the reduced wind turbine power curve and the wind resource map of the candidate site; for each candidate site, calculate the average of the annual grid-connected hours of all wind turbines to obtain the average grid-connected hours of the site, and calculate the annual total power generation of the candidate site based on the product of the average grid-connected hours of the site, the number of wind turbines and the rated power of the wind turbines; The sorting module is configured to sort the candidate sites in descending order according to the average grid-connected hours of the sites, and display the total annual power generation of each candidate site.

[0013] Furthermore, it also includes a screening module, which is configured to screen and / or adjust the scope of candidate sites through sensitive factor screening, land type restrictions, wind farm factor exclusion and existing project restrictions.

[0014] Furthermore, it also includes a wind tower site selection module, which is configured to: select a wind tower site in the candidate site, and the method for selecting a wind tower site includes: If the wind turbine layout is not selected, the horizontal distance index is determined according to the terrain in the candidate site, and whether there is an avoidance factor in the upwind area is considered; according to the terrain elevation data, the area with a medium altitude is screened out; it is determined whether there is any obstruction in the main wind direction of the area with a medium altitude, and avoid selecting the area with obstruction in the upwind direction when selecting the site for the wind tower; If the wind turbine layout has been selected, the horizontal distance index is determined according to the terrain and wind turbine coverage within the candidate site; when considering elevation centering and terrain shielding, the elevation is used for judgment.

[0015] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-mentioned method for recommending a wind farm site.

[0016] A fourth aspect of the present invention provides a computer device, comprising a computer-readable storage medium, a processor, and a computer program stored on the computer-readable storage medium and executable on the processor, wherein when the processor executes the program, the steps in the site recommendation method for a wind farm as described above are implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention improves the estimation method of annual total power generation and grid-connected hours. The annual total power generation and grid-connected hours of each site can be estimated through machine model parameters and wind resource maps, and an intuitive tool display is provided to enable users to more accurately evaluate project feasibility.

[0018] The present invention enriches the development timing recommendation options to meet the different development timing requirements of users.

[0019] The present invention provides an intelligent wind tower site selection tool, which reduces the manual setting work of users and improves the site selection efficiency and scientificity.

[0020] The present invention provides efficient regional planning, site planning, development timing, capacity estimation, power generation estimation and other functions by comprehensively utilizing multi-source information such as wind power base topographic data, wind energy resource evaluation results and land use type data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0022] Figure 1 is a flow chart of a site recommendation method for a wind farm according to the first embodiment of the present invention; Figure 2 is a flow chart of site division according to the first embodiment of the present invention; Figure 3 is a development timing recommendation flow chart of the first embodiment of the present invention; Figure 4 This is a flow chart of wind tower site selection according to the first embodiment of the present invention; Figure 5 is a schematic diagram of wind speed and corresponding output power values ​​in a characteristic curve of a wind turbine according to the first embodiment of the present invention; Figure 6 It is a structural diagram of a computer device according to a fourth embodiment of the present invention. DETAILED DESCRIPTION

[0023] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0024] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0025] Embodiment 1 This embodiment provides a site recommendation method for a wind farm.

[0026] This embodiment provides a site recommendation method for wind farms, which provides efficient regional planning, site planning, development timing, capacity estimation, power generation estimation and other functions by comprehensively utilizing multi-source information such as wind power base topographic data, wind energy resource evaluation results and land use type data; through intelligent wind tower quantity recommendation and site selection algorithm, it takes into account factors such as terrain, area size, wind resource distribution, etc., to achieve more accurate wind tower layout.

[0027] This embodiment provides a site recommendation method for wind farms, and also provides three-dimensional display and large-screen display functions, and generates a project macro-site selection report and a project proposal to support designers in more efficiently displaying the design process and results plans when conducting regional wind energy resource assessment and site selection work, and promote communication and cooperation.

[0028] This embodiment provides a method for recommending a wind farm site. Figure 1 As shown, the following steps are included: Step 1: Delineate the scope of the site (area). Figure 2 As shown, the purpose of this step is to select the approximate area for wind farm site planning.

[0029] Step 101: site selection, that is, obtaining a number of candidate sites through administrative division selection, map drawing or user uploading.

[0030] When planning a wind farm site, it is crucial to select a suitable planning area. This embodiment provides three flexible methods: (1) Based on administrative divisions: Obtain administrative divisions from the database. Users can select regions based on specific provinces, cities, and counties to obtain candidate sites and determine site boundaries (site scope); (2) Custom area - map drawing: Use the system's drawing tools to draw boundaries on the map to select the planning area, obtain candidate sites, and determine the site boundaries; (3) Customized area - user upload: allows users to import existing site ranges by uploading regional vector files (e.g., shp, files, kml files, etc.), obtain candidate sites, and determine site boundaries.

[0031] Step 102: Regional condition screening: Through the screening of sensitive factors, land type restrictions, wind farm factor exclusion and existing project restrictions, the candidate sites are screened and / or the scope is adjusted.

[0032] Users can choose to filter the planning area (candidate site) by conditions to further optimize the selection results. The filtering conditions include: (1) Screening of sensitive factors: By screening sensitive geographic information such as roads, railways, wetland reserves, water sources, and forestry reserves, candidate sites that are not suitable for construction can be eliminated or adjusted.

[0033] (2) Land type restrictions: Check the land use types, including cultivated land, forest land, farmland, etc., exclude candidate sites that are not suitable for construction or adjust the candidate sites to ensure that the selected candidate sites meet the planning requirements.

[0034] (3) Elimination of wind field factors: For each candidate site, obtain high-precision wind maps from the resource library, use the regional wind resource data, and screen according to the specified parameter conditions (height, wind speed range, etc.) to ensure that the parameters in the selected area meet the expected conditions. For example, if the specified wind speed condition is greater than or equal to 5m / s, then it is necessary to further screen out areas with wind speeds greater than or equal to 5m / s in the designated area. If the average wind speed of the entire candidate site does not reach 5m / s, the entire candidate site will be deleted.

[0035] (4) Existing project restrictions: For each candidate site, obtain the existing project parameters in the project library, and through conditional screening, obtain the surrounding existing projects and filter out the candidate sites with existing projects.

[0036] Step 104: Adjust and confirm.

[0037] Based on the aforementioned screening conditions, site selection is performed, candidate sites are screened or the site range obtained in step 101 is adjusted to exclude areas that do not meet the requirements. The user can view the adjusted results through the interactive interface and make a final confirmation.

[0038] Step 2: Preliminary selection of models.

[0039] The recommended model range matching the conditions is matched from the model library.

[0040] For the candidate site selected in step 1, the wind resource map data in the database is used to obtain data such as wind speed in the candidate site. Then, combined with the wind turbine model parameters (including impeller diameter, swept area per kilowatt of single-unit capacity) and power curve, the number of hours of online access for the calculated model is compared with the set minimum threshold of online access hours. Based on this, the model is recommended to obtain a list of recommended models.

[0041] The core of the wind turbine preliminary selection algorithm is to calculate the annual online hours of different wind turbine models based on the site division results, combined with the terrain and wind resources within the site, and select the models that meet the expectations for users to choose. The model with the highest annual online hours is recommended by default. The calculation method of annual online hours is described in detail in step 4.

[0042] Step 3: Initial installation of fans.

[0043] Determine the number and location of fans based on the fan model and specified wind speed conditions.

[0044] Specifically, based on the site scope determined in step 1, the wind resource map of the site, the parameters of the model selected in the recommended model list in step 2 (such as wind turbine impeller diameter) and other required parameters, the wind turbine layout algorithm is used to calculate the number of wind turbines in the site and the wind turbine layout plan, and the wind turbine locations are displayed synchronously in GIS space. The layout plan supports users to manually edit points / delete operations, and the preliminary wind plan will be automatically updated after saving after modification.

[0045] Step 4: Capacity planning.

[0046] Step 401: Capacity estimation.

[0047] The purpose of capacity estimation is to obtain the corresponding total capacity of the site based on the site scope information, the single unit capacity of the selected model and the corresponding wind turbine initial layout plan. The total capacity of the site is the maximum power that the entire wind farm can provide. Figure 3 As shown: If a preliminary model selection and preliminary wind turbine selection are carried out, the site capacity shall be the sum of the rated powers of all wind turbines in the preliminary wind turbine plan of the candidate site.

[0048] When there is no wind turbine information, an estimate can be made based on the terrain, village density and site area of ​​the candidate site. According to different terrains, a unit area capacity is preset, and a reduction factor is set according to the local village density. For example, the unit area capacity of mountainous terrain is set to 10kW / m 2 , the village density is high, and the reduction factor is set at 50%, then the estimated site capacity is 10×50×site area / 1000 MW. Step 402: Estimation of the number of hours of grid connection and the total annual power generation.

[0049] Based on the wind turbine power curve and wind speed spectrum data, calculate the annual grid-connected hours of each wind turbine.

[0050] First, determine the terrain of the site. Specifically, it includes flat terrain, hills, mountains, and sea. On land, the elevation and slope are combined for judgment. Slope refers to the rate of change of height of a point on the terrain surface, usually expressed in degrees. The greater the slope, the steeper the terrain; the smaller the slope, the flatter the terrain. In addition to the slope, the elevation range can also be used as a basis for judging the terrain type. Generally speaking, when the elevation range of the terrain is large, it often means that the terrain is more undulating. When judging the terrain type, flat terrain chooses a low slope (<15°) and an absolute altitude difference of less than 30 meters; hilly areas choose a slope between 5-15° and an absolute altitude difference between 30-200 meters; mountainous areas choose a slope above 15° and an absolute altitude difference of more than 200 meters.

[0051] After determining the terrain, determine the wind speed range for wind turbines within the site based on the site terrain. If the site terrain is flat, you can directly use the minimum and maximum wind speeds in the selected area; if it is mountainous or hilly, you must select the minimum and maximum wind speeds in the area where wind turbines can be arranged along the ridge.

[0052] Next, we can calculate the number of hours of grid connection based on the wind resource conditions and the power curve of the wind turbine. There are two methods to choose from: based on the average wind speed of the site and based on the hourly wind speed of the site. Specifically: Step (1) For each model of wind turbine in the wind turbine layout plan, obtain its power curve according to the wind turbine model (the theoretical power corresponding to the wind speed within the cut-in and cut-out wind speed range of the wind turbine is given. The cut-in wind speed is the lowest wind speed at which the wind turbine starts to operate and start generating electricity, and the cut-out wind speed is the highest wind speed at which the wind turbine stops generating electricity in order to protect it). In addition to the cut-in wind speed and cut-out wind speed, the wind turbine also has an important parameter called the rated wind speed, which refers to the wind speed at which the wind turbine can achieve the rated power output. Figure 4The wind speed (WindSpeed) and the corresponding output power (PowerOutput) values ​​in the characteristic curve of a wind turbine are given. The wind turbine power curve is reduced according to the actual air density of the candidate site, and the equivalent wind speed reduction method is used to output a power curve that meets the characteristics of the original power curve and ensures absolute smoothness.

[0053] First, you need to determine the wind speed point at which the rated power drops. The rated power is the maximum output power that the wind turbine can achieve. When the wind speed increases to a certain critical point, the wind turbine output power reaches the rated value, and increasing the wind speed will not further increase the power, but may decrease it. Therefore, the wind speed point at which the rated power drops is a key point in the power curve. In order to find this drop point, you need to traverse the power curve and find the wind speed at which the power starts to drop from the rated value. The wind speed and power data after this point no longer need to be reduced because the power of the wind turbine has reached or is close to its physical limit.

[0054] Among them, the equivalent wind speed reduction method is: By using the ratio of air density, the reduction factor k is calculated:

[0055] in, represents the air density of the candidate site, Indicates the air density used in the fan power curve.

[0056] For the original wind speed in the wind turbine power curve , using the reduction factor k to reduce, the equivalent wind speed conversion is obtained:

[0057] based on , the wind turbine power curve is discounted, and k is used to scale the wind speed before the rated wind speed drop point in the power curve to obtain the discounted wind turbine power curve.

[0058] Step (2) If the annual grid-connected hours of the wind turbine are calculated based on the average wind speed of the site, the specific steps include: Step (201) sets a valid wind speed interval, for example, the wind speed interval for wind turbine cut-in and cut-out is [3, 25], which is further divided into several small intervals, each of which is divided into intervals of 0.5 m / s, that is, the step length is 0.5.

[0059] Step (202) For any small interval, the starting wind speed is The final wind speed is , calculate its average value Then, the shape parameter k and scale parameter c of the wind speed Weibull distribution are estimated based on the average wind speed v of the candidate sites. and Weibull parameters (k and c), calculate wind speed The corresponding cumulative distribution function value ; Then based on The cumulative distribution function value corresponding to the Weibull parameter calculation . Calculate the difference between the cumulative distribution function values .

[0060] Step (203) Calculation of theoretical hours: Combine ΔCDF, the reduced wind turbine power curve, the rated power of the model, and the annual hours of 8760 to obtain the interval online hours:

[0061] in, Indicates the power corresponding to the starting wind speed between the small areas in the reduced wind turbine power curve; is the rated power of the fan.

[0062] Step (204) calculates the number of online hours for each wind speed interval in turn, and sums them up to obtain the annual online hours of the wind turbine.

[0063] Step (3) If the annual grid-connected hours of the wind turbine are calculated based on the hourly wind speed in the site, then: The hourly wind speed data for the area for one year is required, which is 8760 hours in a normal year. Similarly, based on the above discounted wind turbine power curve, the wind speed in each hour in the candidate plant area corresponds to the wind turbine power, and the cubic spline interpolation method is used to obtain the corresponding power per hour; the power values ​​for one year are added together to obtain the annual grid-connected hours of the wind turbine.

[0064] After calculating the annual online hours of each wind turbine in step (4), calculate the average value to obtain the average online hours of the site.

[0065] Step (5) Calculation of annual total power generation: Calculate the annual total power generation .

[0066] Through the above steps, the estimated values ​​of the grid-connected hours and annual total power generation of the site were obtained.

[0067] Step 5: Develop timing recommendations.

[0068] In this step, the aim is to calculate the number of hours of grid connection according to the wind conditions in the site and to sort the development timing.

[0069] Sorting process: By sorting the sites in descending order according to their average grid-connected hours, you can get a recommendation for the development order and display the estimated annual total power generation of each site for users to select and develop as a reference. This means that priority is given to developing sites with higher grid-connected hours to maximize the use of wind resources.

[0070] Step 6: Select the site for the wind tower.

[0071] The wind tower site selection step is used to recommend wind tower locations within the project scope. Figure 4 As shown in the figure, different site selection algorithms are used for different terrains. When selecting a site, the influence of terrain and slope is considered to avoid restrictive factors.

[0072] (1) The fan layout was not selected in the early stage of the project.

[0073] Choose flat terrain: Determine the horizontal distance index based on the terrain, that is, the minimum horizontal range of observation of a single wind tower. The general experience is that the horizontal distance index for flat terrain is 8km.

[0074] At this time, only the horizontal restrictive factors need to be considered, and whether there are avoidance factors in the upwind area, such as woodlands, villages, or existing wind farms. The above avoidance factors need to be avoided when selecting a site.

[0075] Choose mountainous or hilly terrain: Determine the horizontal distance index based on the terrain, that is, the minimum horizontal range of observation of a single wind tower. The usual experience is that the horizontal distance index for mountains is 3km, and the horizontal distance index for hills is 5km. In addition to considering horizontal limiting factors, vertical limiting factors also need to be considered.

[0076] Vertical limiting factors: including elevation centering and terrain obstruction.

[0077] Centered elevation: Based on the terrain elevation data, select the area with a center elevation (elevation difference ±50m). And it is necessary to select the area on the top of the mountain by integrating terrain, altitude, slope and other data, and avoid selecting the area on the hillside.

[0078] Terrain shielding: Determine whether there is any shielding such as high ground in the main wind direction of the area with a central height. When selecting a site for a wind tower, avoid selecting an area with shielding in the upwind direction. If there is shielding, if the horizontal distance between the shielding point and the selected tower location is more than 15 times the height difference, terrain shielding can be ignored.

[0079] (2) Preliminary projects and selection of fan layout.

[0080] After the fan arrangement is selected in the previous project, the selection conditions change as follows compared to when no fan is selected: Horizontal distance indicator: It is necessary to consider that the observation range of the selected wind tower can cover at least 90% of the wind turbines.

[0081] Vertical restriction factor: When considering elevation centering and terrain shielding, use elevation to make judgments. Terrain centering: That is, the wind tower should be arranged in the area where the terrain elevation is centered in the site, such as setting it to the middle elevation. Range. Terrain shielding: Assume that there is a shielding x meters away from the wind tower, which is y meters higher than the wind tower. The relationship between x and 15y needs to be determined. If x is greater than 15y, that is, the distance exceeds 15 times the elevation difference. Then shielding can be ignored. Otherwise, it needs to be considered. The wind tower should be adjusted to reduce the impact of terrain shielding.

[0082] According to the judgment standard of elevation centering, the areas that meet the range within the site range can be screened out first.

[0083] To determine terrain obstruction, it is necessary to fine-tune the location of the wind towers after the initial arrangement of the towers, based on the screening of this condition.

[0084] (3) Completed projects.

[0085] The completed project must have wind turbine arrangement information, and the tower type is a wind power prediction tower.

[0086] The early stage of the project and the selection of wind turbine layout and the completion of the project need to consider the following additional factors: Economic factor: that is, the tower location should be close to the booster station and far away from the wind turbine.

[0087] This embodiment provides a site recommendation method for wind farms, optimizes the site selection process, and introduces an intelligent algorithm to improve the accuracy of site selection.

[0088] This embodiment provides a site recommendation method for a wind farm, which introduces an automated algorithm for the initial selection of models to reduce the burden on users to select models.

[0089] This embodiment provides a site recommendation method for a wind farm, and designs an automated tool to calculate and display the optimal wind turbine quantity layout plan to simplify user operations.

[0090] This embodiment provides a site recommendation method for wind farms, which improves the estimation method of the annual total power generation and the number of hours of grid connection. The annual total power generation and the number of hours of grid connection of each site can be estimated through machine model parameters and wind resource maps, and an intuitive tool display is provided to enable users to more accurately evaluate the feasibility of the project.

[0091] This embodiment provides a site recommendation method for a wind farm, which enriches the development sequence recommendation options to meet different development sequence requirements of users.

[0092] This embodiment provides a site recommendation method for a wind farm, which provides an intelligent wind tower site selection tool, reduces the manual setting work of users, and improves the efficiency and scientificity of site selection.

[0093] Embodiment 2 This embodiment provides a site recommendation system for wind farms, which specifically includes: A data acquisition module is configured to: acquire a number of candidate sites and a wind resource map of each candidate site; A screening module is configured to screen and / or adjust the scope of candidate sites by screening sensitive factors, limiting land types, eliminating wind farm factors, and limiting existing projects; A wind turbine setting module is configured to: for each candidate site, select a wind turbine model, and determine the number of wind turbines and arrange the wind turbines based on the model parameters and the wind resource map; The estimation module is configured to: for each wind turbine in each candidate site, after determining the wind turbine power curve based on the model parameters, reduce the wind turbine power curve based on the air density of the candidate site to obtain the reduced wind turbine power curve; calculate the annual grid-connected hours of each wind turbine based on the reduced wind turbine power curve and the wind resource map of the candidate site; for each candidate site, calculate the average of the annual grid-connected hours of all wind turbines to obtain the average grid-connected hours of the site, and calculate the annual total power generation of the candidate site based on the product of the average grid-connected hours of the site, the number of wind turbines and the rated power of the wind turbines; The sorting module is configured to sort the candidate sites in descending order according to the average grid-connected hours of the sites, and display the total annual power generation of each candidate site.

[0094] A wind tower site selection module is configured to: select a wind tower site in the candidate site, and the method for selecting a wind tower site includes: If the wind turbine layout is not selected, the horizontal distance index is determined according to the terrain in the candidate site; the area with a medium altitude is screened out according to the terrain elevation data; it is determined whether there is any obstruction in the main wind direction of the area with a medium altitude, and when selecting the site for the wind tower, avoid selecting an area with obstruction in the upwind direction; If the wind turbine layout has been selected, the horizontal distance index is determined based on the terrain and wind turbine coverage within the candidate site; when considering elevation centering and terrain shielding, the wind turbine height and elevation are used for judgment.

[0095] It should be noted here that each module in this embodiment corresponds to each step in Example 1 one by one, and the specific implementation process is the same, which will not be repeated here.

[0096] Embodiment 3 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the site recommendation method for a wind farm as described in the first embodiment above are implemented.

[0097] Embodiment 4 This embodiment provides a computer device, such as Figure 6As shown, it includes a computer-readable storage medium 1003, a processor 1001, a communication interface 1002, and a computer program stored on the computer-readable storage medium 1003 and executable on the processor 1001, wherein the processor 1001, the communication interface 1002, and the computer-readable storage medium 1003 may be connected via a bus or other means. The communication interface 1002 is used to receive and send data, and when the processor 1001 executes the program, the steps in the site recommendation method for a wind farm as described in the first embodiment above are implemented.

[0098] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A site recommendation method for a wind farm, characterized in that: include: Obtain several candidate sites and a wind resource map of each candidate site; For each candidate site, select the model of wind turbines, and based on the model parameters and wind resource map, determine the number of wind turbines and arrange them; For each wind turbine in each candidate site, after determining the wind turbine power curve based on the model parameters, the wind turbine power curve is discounted based on the air density of the candidate site to obtain the discounted wind turbine power curve; based on the discounted wind turbine power curve and the wind resource map of the candidate site, the annual grid-connected hours of each wind turbine are calculated; for each candidate site, the average annual grid-connected hours of all wind turbines is calculated to obtain the average grid-connected hours of the site, and the annual total power generation of the candidate site is calculated based on the product of the average grid-connected hours of the site, the number of wind turbines and the rated power of the wind turbines; According to the average grid-connected hours of the site, the candidate sites are sorted in descending order, and the total annual power generation of each candidate site is displayed.

2. A method for recommending a wind farm site according to claim 1, characterized in that: Also includes: Candidate sites are screened and / or scoped through screening of sensitive factors, land type restrictions, wind farm factor exclusion and existing project restrictions.

3. A method for recommending a wind farm site according to claim 1, characterized in that: The calculation steps of the annual online hours of the wind turbine include: Get the hourly wind speed of the candidate site; Based on the discounted wind turbine power curve, for each hour of wind speed in the candidate site, the corresponding wind turbine power is added up for all hours in a year to obtain the annual grid-connected hours of the wind turbine.

4. A method for recommending a wind farm site according to claim 1, characterized in that: The calculation steps of the annual online hours of the wind turbine include: Set the effective wind speed interval and divide the effective wind speed interval into several small intervals; For any cell interval, the starting point of the cell interval is The end point of the cell is , calculate the mean value between cells ; According to the average wind speed of the candidate site, the shape parameter and scale parameter of the Weibull distribution of wind speed are estimated; Based on the mean value, shape parameter and scale parameter between cells, calculate The corresponding cumulative distribution function value ; based on , shape parameter and scale parameter, calculate the cumulative distribution function value ; Calculates the difference between cumulative distribution function values ; Combining ΔCDF, the reduced wind turbine power curve, wind turbine rated power and annual hours, the interval grid-connected hours are calculated; The annual online hours of the wind turbine are obtained by summing up the online hours corresponding to all small intervals.

5. The method for recommending a wind farm site according to claim 1, characterized in that: The method also includes selecting a site for a wind tower in the candidate site, wherein the method includes: If the wind turbine layout is not selected, the horizontal distance index is determined according to the terrain in the candidate site, and whether there is an avoidance factor in the upwind area is considered; according to the terrain elevation data, the area with a medium altitude is screened out; it is determined whether there is any obstruction in the main wind direction of the area with a medium altitude, and avoid selecting the area with obstruction in the upwind direction when selecting the site for the wind tower; If the wind turbine layout has been selected, the horizontal distance index is determined according to the terrain and wind turbine coverage within the candidate site; when considering elevation centering and terrain shielding, the elevation is used for judgment.

6. A site recommendation system for wind farms, characterized in that: include: A data acquisition module is configured to: acquire a number of candidate sites and a wind resource map of each candidate site; A wind turbine setting module is configured to: for each candidate site, select a wind turbine model, and determine the number of wind turbines and arrange the wind turbines based on the model parameters and the wind resource map; The estimation module is configured to: for each wind turbine in each candidate site, after determining the wind turbine power curve based on the model parameters, reduce the wind turbine power curve based on the air density of the candidate site to obtain the reduced wind turbine power curve; calculate the annual grid-connected hours of each wind turbine based on the reduced wind turbine power curve and the wind resource map of the candidate site; for each candidate site, calculate the average of the annual grid-connected hours of all wind turbines to obtain the average grid-connected hours of the site, and calculate the annual total power generation of the candidate site based on the product of the average grid-connected hours of the site, the number of wind turbines and the rated power of the wind turbines; The sorting module is configured to sort the candidate sites in descending order according to the average grid-connected hours of the sites, and display the total annual power generation of each candidate site.

7. A wind farm area recommendation system according to claim 6, characterized in that: It also includes a screening module, which is configured to screen and / or adjust the scope of candidate sites through sensitive factor screening, land type restrictions, wind farm factor exclusion and existing project restrictions.

8. The wind farm area recommendation system according to claim 6, characterized in that: The system also includes a wind tower site selection module, which is configured to: select a wind tower site in the candidate site, and the method for selecting a wind tower site includes: If the wind turbine layout is not selected, the horizontal distance index is determined according to the terrain in the candidate site, and whether there is an avoidance factor in the upwind area is considered; according to the terrain elevation data, the area with a medium altitude is screened out; it is determined whether there is any obstruction in the main wind direction of the area with a medium altitude, and avoid selecting the area with obstruction in the upwind direction when selecting the site for the wind tower; If the wind turbine layout has been selected, the horizontal distance index is determined according to the terrain and wind turbine coverage within the candidate site; when considering elevation centering and terrain shielding, the elevation is used for judgment.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the method for recommending a wind farm area as described in any one of claims 1 to 5 are implemented.

10. A computer device comprising a computer-readable storage medium, a processor, and a computer program stored in the computer-readable storage medium and executable on the processor, characterized in that: When the processor executes the program, the steps in the method for recommending a wind farm area according to any one of claims 1 to 5 are implemented.

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