Wind power plant machine position arrangement optimization method considering multi-machine-type mixed arrangement

Abstract

The invention discloses a wind power plant position arrangement optimization method considering multi-model mixed arrangement. The method comprises the following steps: step 1, establishing a three-dimensional gridding microscopic wind energy map of each target high layer in a wind power plant area; 2, according to the three-dimensional gridding microscopic wind energy map, searching for an optimal machine position arrangement scheme under a specified condition; the specified conditions comprise the main wind direction, the fan spacing limitation, the mixed arrangement type and the number. According to the method, through three-dimensional gridding reconstruction and refinement processing of a wind power density distribution map, called a wind energy map for short, of the wind power plant, machine position arrangement optimization of single / mixed arrangement machine types in a wind power plant area is achieved, and fan safety spacing and land use limitation factors can be flexibly considered; meanwhile, the existing arrangement scheme can be compared and optimized, and the overall generating capacity of the wind power plant is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation equipment construction, and in particular to a method for optimizing the layout of wind farm machine sites considering mixed arrangement of multiple machine types. Background Art

[0002] A wind turbine (abbreviated as wind turbine) is a power generation device that converts wind energy in the air into electrical energy. A wind farm is generally composed of two or more wind turbines. The geographical location where each wind turbine is installed is called the site of the wind turbine.

[0003] The layout of wind farm sites is one of the key factors in increasing the power generation of wind farms. By reasonably arranging the sites, wind energy can be captured to the maximum extent under the conditions of safe wind turbine spacing, thereby improving the overall power generation efficiency of the wind farm.

[0004] In order to maximize the utilization of site area and wind resource characteristics, a wind farm may need to mix and arrange a variety of different wind turbine models, such as wind turbines with different capacities, impeller diameters, and impeller center heights. This situation brings greater difficulty to the layout of wind farm machine sites.

[0005] Traditional methods of aircraft site layout usually use manual experience-based layout, or simplify the layout based on laminar models and then cooperate with manual adjustment. These methods are less applicable when it comes to complex terrain (such as mountains), land use attribute restrictions, and mixed deployment of multiple aircraft models.

[0006] Therefore, how to optimize the layout of single / mixed wind turbines within a wind farm while flexibly considering wind turbine safety spacing and land restrictions has become a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0007] In view of the above-mentioned defects of the prior art, the present invention provides a method for optimizing the layout of wind farm machine sites taking into account mixed arrangements of multiple machine models. The purpose of the method is to achieve the optimization of the layout of single / mixed machine sites within the wind farm area, and to flexibly consider the safe spacing between wind turbines and land restrictions.

[0008] To achieve the above object, the present invention discloses a method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units, comprising the following steps:

[0009] Step 1: Establish a three-dimensional grid microscopic wind energy map for each target high-rise in the wind farm area;

[0010] Step 2: Find the optimal machine layout plan under specified conditions based on the three-dimensional grid micro wind energy map; the specified conditions include main wind direction, wind turbine spacing limit, mixed arrangement model and number.

[0011] Preferably, step 1 is as follows:

[0012] Step 1.1, coordinate gridding the wind energy map based on the micro map to obtain a two-dimensional micro wind energy map of the wind farm area at each target high level;

[0013] Step 1.2: Merge the two-dimensional microscopic wind energy atlases of the plurality of target high-level layers to obtain a three-dimensional grid microscopic wind energy atlas.

[0014] Preferably, step 1.1 is specifically as follows:

[0015] Step 1.1.1, on the plane where each target high-rise building is located, a wind energy distribution associated with the horizontal coordinate of the original wind energy map is set corresponding to the original wind energy map;

[0016] Step 1.1.2, matching the horizontal coordinate grid of the original wind energy map and the microscopic coordinate map of the wind farm area;

[0017] Step 1.1.3, interpolate and fill in the micro coordinate grid points with missing wind energy data to obtain the two-dimensional micro wind energy map of the wind farm area at the target high level and related to the water surface coordinate grid of the micro coordinate map of the wind farm area.

[0018] More preferably, step 1.2 is specifically:

[0019] In the case where different types of machines need to be mixed in a wind farm, the two-dimensional microscopic wind energy atlases of multiple target high-rise buildings corresponding to the different wind-catching heights of the machine models are dimensionally merged to obtain the three-dimensional gridded microscopic wind energy atlas associated with the horizontal and height coordinates.

[0020] More preferably, when executing step 1.2, it is also necessary to set a boundary margin, scale down the available range of the outer boundary of the wind farm area, and obtain the scaled three-dimensional grid microscopic wind energy atlas, as follows:

[0021] According to the existing red line data of the wind farm area, a margin distance is set within the wind farm area, and the margin distance is retracted inward along the horizontal coordinate normal at the outer boundary of the three-dimensional grid micro wind energy map through the code, and the wind energy of the coordinate grid points in the avoidance area formed by retracting the margin distance is set to 0, so as to obtain the scaled three-dimensional grid micro wind energy map.

[0022] More preferably, when executing step 1.2, it is also necessary to set a local avoidance zone, remove the coordinate grid point data of the three-dimensional grid micro wind energy map of the wind farm area in the local avoidance zone, and obtain the three-dimensional grid micro wind energy map of the actual available land in the farm area, as follows:

[0023] According to the existing avoidance requirements of the wind farm area, an avoidance zone is formed within the outer boundary of the three-dimensional grid micro wind energy map through the code, and then the code is used to determine whether the coordinate grid points of the three-dimensional grid micro wind energy map are located within the avoidance zone; if so, the wind energy size of the coordinate grid points located in the avoidance zone is set to 0, and the three-dimensional grid micro wind energy map of the actual available land in the site can be obtained.

[0024] Preferably, step 2 is as follows:

[0025] Step 2.1: Rotate the coordinate axis system of the three-dimensional grid microscopic wind energy atlas to be parallel to the main wind direction, specifically:

[0026] All data in the three-dimensional grid micro wind energy atlas are changed from the original three-dimensional coordinate system to a new three-dimensional coordinate system parallel to the main wind direction through coordinate conversion calculation, and the three-dimensional micro wind energy atlas is obtained, which is related to the three-dimensional coordinates of the main wind direction of the new three-dimensional coordinate system and corresponds to all data in the original three-dimensional grid micro wind energy atlas;

[0027] The coordinate axes of the new three-dimensional coordinate system are W axis, V axis and Z axis respectively; wherein the W axis and V axis are axes parallel to the horizontal plane;

[0028] The minimum allowable fan spacing is set in the new three-dimensional coordinate system, and the minimum allowable fan spacing along the W axis and the V axis is L w and L v ;

[0029] Step 2.2, arranging the three-dimensional microscopic wind energy atlas in the new three-dimensional coordinate system in descending order according to wind energy values ​​to obtain a descending order wind energy atlas;

[0030] Step 2.3: According to the number of positions required for different types of wind turbines, grid points that meet the target high-rise and minimum allowable wind turbine spacing of the type are searched in the descending order wind energy map as candidate positions, until the candidate positions of all the types of wind turbines meet the required number.

[0031] More preferably, step 2.3 is as follows:

[0032] The relationship between the aircraft type, the target high-rise and the required number of seats is: there are multiple aircraft types, each aircraft type matches a target high-rise, and a certain number of seats are required at the target high-rise; the initial number of selected seats for all aircraft types is zero;

[0033] Step 2.3.1: The wind energy values ​​of the descending wind energy spectrum are arranged from large to small as follows: p1>p2>p3>…>p n ;

[0034] And each of the wind energy values ​​corresponds to a three-dimensional grid coordinate point;

[0035] Each of the three-dimensional grid coordinate points comprises a horizontal coordinate and a height coordinate;

[0036] Starting from p1, p1, p2, ..., p n Each of the wind energy values ​​and the corresponding three-dimensional grid coordinate points are judged as follows;

[0037] Step 2.3.2, determining whether the number of selected positions of the matching aircraft model of the target high-rise corresponding to each of the height coordinates has reached the upper limit of the required number of positions;

[0038] And, determine the distance L around each horizontal coordinate along the W axis w Within, along the V axis at a distance L v Whether there are other selected machine locations within the range;

[0039] If both of the above judgment results are "no", the point of the original three-dimensional coordinate system corresponding to the three-dimensional grid coordinate point is added as the candidate aircraft point of the corresponding aircraft model, and the number of selected aircraft points of the corresponding aircraft model is increased by 1;

[0040] If one of the two judgment results is "yes", the corresponding wind energy value is ignored, and the next wind energy value is judged continuously until the number of selected positions of the model of the target high-rise corresponding to all height coordinates reaches the upper limit, thereby forming a first set of position arrangement schemes for the wind farm;

[0041] The sum of the wind energy values ​​of all the candidate machine positions in the machine position arrangement scheme of the wind farm is the comprehensive power generation of the machine position arrangement scheme of the wind farm;

[0042] In practical applications, due to the influence of different wind energy distributions at different target high-rises and the different numbers of required aircraft positions, the result of the previous iteration may not be the optimal solution, and multiple iterations are required to find the optimal solution.

[0043] Step 2.3.3, starting from p1, remove all the wind energy values ​​one by one, and execute step 2.3.2 for all the remaining wind energy values ​​and the corresponding three-dimensional grid coordinate points after each removal of the wind energy value, so as to form multiple sets of wind farm machine position arrangement schemes;

[0044] Step 2.3.4: Compare the sizes of the comprehensive power generation of all the wind farm machine site arrangement schemes, and take the wind farm machine site arrangement scheme with the largest comprehensive power generation as the optimal machine site arrangement scheme.

[0045] More preferably, the wind energy value distribution of each candidate machine site in the machine site arrangement scheme of the wind farm is P AThe wind energy value distribution of the candidate site on other higher-level wind energy maps not involved is P B According to P B With P A The numerical differences are arranged in descending order to obtain a sequence of power generation that can be raised; and then, according to the mixed arrangement requirements of machine models, the machine sites with the highest ranking in the sequence of power generation that can be raised are selected for high-rise lifting and machine model capacity upgrade.

[0046] Beneficial effects of the present invention:

[0047] The present invention realizes the optimization of the layout of single / mixed machine positions within the wind farm area through three-dimensional grid reconstruction and fine processing of the wind power density distribution map of the wind farm, also known as the wind energy map, and can flexibly consider the safe spacing between wind turbines and land restrictions. At the same time, the present invention can also compare and optimize existing layout plans to achieve an increase in the overall power generation of the wind farm.

[0048] The concept, specific structure and technical effects of the present invention will be further described below in conjunction with the accompanying drawings to fully understand the purpose, characteristics and effects of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flow chart showing an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0050] Example

[0051] like Figure 1 As shown in FIG. 1 , the method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units includes the following steps:

[0052] Step 1: Establish a three-dimensional grid microscopic wind energy map for each target high-rise in the wind farm area;

[0053] Step 2: Find the optimal layout of wind turbines under specified conditions based on the three-dimensional grid micro wind energy map; the specified conditions include the main wind direction, wind turbine spacing restrictions, and mixed types and numbers.

[0054] In some embodiments, step 1 is as follows:

[0055] Step 1.1, coordinate gridding the wind energy map based on the micro map to obtain a two-dimensional micro wind energy map of the wind farm area at each target high level;

[0056] Step 1.2: Merge the two-dimensional microscopic wind energy maps of multiple target high-level layers to obtain a three-dimensional grid microscopic wind energy map.

[0057] In some embodiments, step 1.1 is specifically:

[0058] Step 1.1.1, on the plane where each target high-rise is located, a wind energy distribution related to the horizontal coordinate of the original wind energy map is set corresponding to the original wind energy map;

[0059] Step 1.1.2, matching the horizontal coordinate grids of the original wind energy map and the microscopic coordinate map of the wind farm area;

[0060] Step 1.1.3, interpolate and fill in the micro coordinate grid points with missing wind energy data, and obtain a two-dimensional micro wind energy map of the wind farm area at the target high level that is related to the water surface coordinate grid of the micro coordinate map of the wind farm area.

[0061] In some embodiments, step 1.2 is specifically:

[0062] When different types of turbines need to be mixed in a wind farm, the two-dimensional microscopic wind energy maps of multiple target high-rise buildings are dimensionally merged according to the target high-rise buildings corresponding to the different wind-catching heights of the turbines to obtain a three-dimensional grid microscopic wind energy map related to the horizontal and height coordinates.

[0063] In some embodiments, when executing step 1.2, it is also necessary to set a boundary margin, scale the available range of the outer boundary of the wind farm area, and obtain a scaled three-dimensional grid microscopic wind energy map, as follows:

[0064] According to the existing land red line data of the wind farm area, the margin distance is set within the wind farm area, and the margin distance is shrunk inward along the horizontal coordinate normal at the outer boundary of the three-dimensional grid micro wind energy map through the code. At the same time, the wind energy size of the coordinate grid points in the avoidance area formed by the shrunk margin distance is set to 0, and the scaled three-dimensional grid micro wind energy map is obtained.

[0065] In practical applications, the above-mentioned means are used to avoid fan arrangement within the range of the margin distance.

[0066] In some embodiments, when executing step 1.2, it is also necessary to set a local avoidance zone, remove the coordinate grid point data of the three-dimensional grid micro wind energy map of the wind farm area in the local avoidance zone, and obtain the three-dimensional grid micro wind energy map of the actual available land in the farm area, as follows:

[0067] According to the existing avoidance requirements of the wind farm area, an avoidance zone is formed within the outer boundary of the three-dimensional grid micro wind energy map through the code, and then the code is used to determine whether the coordinate grid points of the three-dimensional grid micro wind energy map are located within the avoidance zone; if so, the wind energy size of the coordinate grid points located in the avoidance zone is set to 0, and the three-dimensional grid micro wind energy map of the actual available land in the site can be obtained.

[0068] In some embodiments, step 2 is as follows:

[0069] Step 2.1: Rotate the coordinate axis system of the three-dimensional grid microscopic wind energy map to be parallel to the main wind direction, specifically:

[0070] All data in the three-dimensional grid micro wind energy atlas are changed from the original three-dimensional coordinate system to a new three-dimensional coordinate system parallel to the main wind direction through coordinate conversion calculation, and a new three-dimensional micro wind energy atlas corresponding to all data in the original three-dimensional grid micro wind energy atlas is obtained in accordance with the three-dimensional coordinates of the main wind direction of the new three-dimensional coordinate system;

[0071] The coordinate axes of the new three-dimensional coordinate system are W axis, V axis and Z axis respectively; among which W axis and V axis are axes parallel to the horizontal plane;

[0072] Set the minimum allowable fan spacing in the new three-dimensional coordinate system. The minimum allowable fan spacing along the W axis and V axis is L w and L v ;

[0073] Step 2.2, arranging the three-dimensional microscopic wind energy maps in the new three-dimensional coordinate system in descending order according to the wind energy values ​​to obtain a descending order wind energy map;

[0074] Step 2.3: According to the number of positions required for different types of wind turbines, search for grid points that meet the target height of the wind turbine model and the minimum allowable wind turbine spacing in the descending order wind energy map as candidate positions until the candidate positions of all types of wind turbines meet the required number.

[0075] In certain embodiments, step 2.3 is as follows:

[0076] The relationship between the aircraft type, the target high-level and the required number of seats is: there are multiple aircraft types, each aircraft type matches a target high-level, and a certain number of seats are required at the target high-level; the initial number of selected seats for all aircraft types is zero

[0077] Step 2.3.1: The wind energy values ​​of the descending wind energy map are arranged from large to small as p1>p2>p3>…>p n ;

[0078] And each wind energy value corresponds to a three-dimensional grid coordinate point;

[0079] Each three-dimensional grid coordinate point consists of a horizontal coordinate and a height coordinate;

[0080] Starting from p1, p1, p2, ..., p n Each wind energy value and the corresponding three-dimensional grid coordinate point are judged as follows;

[0081] Step 2.3.2, determine whether the number of selected positions of the matching aircraft model of the target high-rise corresponding to each height coordinate has reached the upper limit of the required number of positions;

[0082] And, determine the distance L around each horizontal coordinate along the W axis w Within, along the V axis at a distance L v Whether there are other selected machine locations within the range;

[0083] If both of the above judgment results are "no", the point of the original three-dimensional coordinate system corresponding to the three-dimensional grid coordinate point is added as the candidate aircraft point of the corresponding aircraft model, and the number of selected aircraft points of the corresponding aircraft model is increased by 1;

[0084] If one of the two judgment results is "yes", the corresponding wind energy value is ignored, and the next wind energy value is judged until the number of selected positions of the target high-rise models corresponding to all height coordinates reaches the upper limit, thus forming the first set of wind farm position arrangement plan;

[0085] The sum of the wind energy values ​​of all candidate machine positions in the machine position arrangement scheme of the wind farm is the comprehensive power generation of the machine position arrangement scheme of the wind farm;

[0086] In practical applications, due to the influence of different wind energy distributions at different target high-rises and the different numbers of required aircraft positions, the result of the previous iteration may not be the optimal solution, and multiple iterations are required to find the optimal solution.

[0087] Step 2.3.3, starting from p1, all wind energy values ​​are removed one by one, and after each removal of a wind energy value, step 2.3.2 is performed on all remaining wind energy values ​​and corresponding three-dimensional grid coordinate points to form multiple sets of wind farm machine site arrangement plans;

[0088] Step 2.3.4: Compare the comprehensive power generation of the machine site arrangement schemes of all wind farms, and take the machine site arrangement scheme of the wind farm with the largest comprehensive power generation as the optimal machine site arrangement scheme.

[0089] In practical applications, the maximum value p1 is usually taken as the initial value for optimization. The three-dimensional grid point is (w1, v1, h1). First, determine whether the candidate position of the high-rise model h1 has reached the required upper limit, and then determine the distance L along the W axis around (w1, v1). w Within, along the V axis distance L v If both judgment results are negative, then point p1 can be used as one of the candidate points for the high-rise model h1; if so, point p1 is ignored and point p2 is judged until h1 to h z The number of positions for high-rise models has reached the upper limit. This process is an iteration of optimizing the position arrangement, which can form a wind farm position arrangement plan.

[0090] After removing p1, the wind energy map sequence is updated to p2>p3>…>p n, the maximum value p2 is the initial value of the optimization, repeat the above machine site arrangement optimization process, complete the second iteration, and form the second wind farm machine site arrangement plan. Repeat the above steps to obtain multiple wind farm machine site arrangement plans. Please adjust this part to be consistent with the new plan after the modification

[0091] In some embodiments, the wind energy value distribution of each candidate machine site in the machine site arrangement scheme of the wind farm is P A The wind energy value distribution of the candidate site on other higher-level wind energy maps not involved is P B According to P B With P A The numerical differences are arranged in descending order to obtain a sequence of power generation that can be raised; then, according to the mixed arrangement requirements of machine models, the machine sites with the highest ranking in the sequence of power generation that can be raised are selected for high-rise lifting and machine model capacity upgrade.

[0092] Through the above technical means, the method of the present invention can also optimize the existing low-rise arrangement scheme into a high-rise or multi-layer arrangement scheme by optimizing the wind energy difference between different layer heights, thereby improving the power generation income of the wind farm.

[0093] Generally speaking, the wind energy value at a higher altitude for the same horizontal coordinate point is greater, and larger capacity models can be deployed, which is more conducive to increasing the overall power generation of the wind farm.

[0094] The present invention realizes the optimization of the machine site arrangement of single / mixed models within the wind farm area through three-dimensional grid reconstruction and fine processing of the wind power density distribution map of the wind farm (referred to as the wind energy map), and flexibly considers the safe spacing between wind turbines and local limiting factors to calculate the machine site arrangement plan for the maximum power generation of the wind farm.

[0095] The present invention can be applied to wind farms with simple terrain, as well as wind farms with complex terrain, land use attribute avoidance, and mixed arrangement of multiple models. At the same time, the invention can also compare and optimize existing arrangement schemes to achieve an increase in the overall power generation of wind farms.

[0096] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. Optimal layout of wind farms with mixed wind turbine types; It is characterized in that The steps include: Step 1: Establish a three-dimensional grid microscopic wind energy map for each target high-rise in the wind farm area; Step 2: Find the optimal machine layout plan under specified conditions based on the three-dimensional grid micro wind energy map; the specified conditions include main wind direction, wind turbine spacing limit, mixed arrangement model and number.

2. According to claim 1, the method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units, It is characterized in that Step 1 is as follows: Step 1.1, coordinate gridding the wind energy map based on the micro map to obtain a two-dimensional micro wind energy map of the wind farm area at each target high level; Step 1.2: Merge the two-dimensional microscopic wind energy atlases of the plurality of target high-level layers to obtain a three-dimensional grid microscopic wind energy atlas.

3. According to claim 2, the method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units, It is characterized in that Step 1.1 is as follows: Step 1.1.1, on the plane where each target high-rise building is located, a wind energy distribution associated with the horizontal coordinate of the original wind energy map is set corresponding to the original wind energy map; Step 1.1.2, matching the horizontal coordinate grid of the original wind energy map and the microscopic coordinate map of the wind farm area; Step 1.1.3, interpolate and fill in the micro coordinate grid points with missing wind energy data to obtain the two-dimensional micro wind energy map of the wind farm area at the target high level and related to the water surface coordinate grid of the micro coordinate map of the wind farm area.

4. According to claim 2, the method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units, It is characterized in that Step 1.2 is as follows: In the case where different types of machines need to be mixed in a wind farm, the two-dimensional microscopic wind energy atlases of multiple target high-rise buildings corresponding to the different wind-catching heights of the machine models are dimensionally merged to obtain the three-dimensional gridded microscopic wind energy atlas associated with the horizontal and height coordinates.

5. According to claim 2, the method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units, It is characterized in that When executing step 1.2, it is also necessary to set the boundary margin, scale down the available range of the outer boundary of the wind farm area, and obtain the scaled three-dimensional grid microscopic wind energy atlas, as follows: According to the existing red line data of the wind farm area, a margin distance is set within the wind farm area, and the margin distance is retracted inward along the horizontal coordinate normal at the outer boundary of the three-dimensional grid micro wind energy map through the code, and the wind energy of the coordinate grid points in the avoidance area formed by retracting the margin distance is set to 0, so as to obtain the scaled three-dimensional grid micro wind energy map.

6. The method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units according to claim 2, It is characterized in that When executing step 1.2, it is also necessary to set a local avoidance zone, remove the coordinate grid point data of the three-dimensional grid micro wind energy map of the wind farm area in the local avoidance zone, and obtain the three-dimensional grid micro wind energy map of the actual available land in the farm area, as follows: According to the existing avoidance requirements of the wind farm area, an avoidance zone is formed within the outer boundary of the three-dimensional grid micro wind energy map through the code, and then the code is used to determine whether the coordinate grid points of the three-dimensional grid micro wind energy map are located within the avoidance zone; if so, the wind energy size of the coordinate grid points located in the avoidance zone is set to 0, and the three-dimensional grid micro wind energy map of the actual available land in the site can be obtained.

7. The method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units according to claim 1, It is characterized in that Step 2 is as follows: Step 2.1: Rotate the coordinate axis system of the three-dimensional grid microscopic wind energy atlas to be parallel to the main wind direction, specifically: All data in the three-dimensional grid micro wind energy atlas are changed from the original three-dimensional coordinate system to a new three-dimensional coordinate system parallel to the main wind direction through coordinate conversion calculation, and the three-dimensional micro wind energy atlas is obtained, which is related to the three-dimensional coordinates of the main wind direction of the new three-dimensional coordinate system and corresponds to all data in the original three-dimensional grid micro wind energy atlas; The coordinate axes of the new three-dimensional coordinate system are W axis, V axis and Z axis respectively; wherein the W axis and V axis are axes parallel to the horizontal plane; The minimum allowable fan spacing is set in the new three-dimensional coordinate system, and the minimum allowable fan spacing along the W axis and the V axis is L w and L v ; Step 2.2, arranging the three-dimensional microscopic wind energy atlas in the new three-dimensional coordinate system in descending order according to wind energy values ​​to obtain a descending order wind energy atlas; Step 2.3: According to the number of positions required for different types of wind turbines, grid points that meet the target high-rise and minimum allowable wind turbine spacing of the type are searched in the descending order wind energy map as candidate positions, until the candidate positions of all the types of wind turbines meet the required number.

8. The method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units according to claim 7, It is characterized in that Step 2.3 is as follows: The relationship between the aircraft type, the target high-rise and the required number of seats is: there are multiple aircraft types, each aircraft type matches a target high-rise, and a certain number of seats are required at the target high-rise; the initial number of selected seats for all aircraft types is zero Step 2.3.1: The wind energy values ​​of the descending wind energy spectrum are sorted from large to small as p 1 >p 2 >p 3 >…>p n ; And each of the wind energy values ​​corresponds to a three-dimensional grid coordinate point; Each of the three-dimensional grid coordinate points comprises a horizontal coordinate and a height coordinate; From p 1 Start to check p 1 、p 2 ,…,p n Each of the wind energy values ​​and the corresponding three-dimensional grid coordinate points are judged as follows; Step 2.3.2, determining whether the number of selected positions of the matching aircraft model of the target high-rise corresponding to each of the height coordinates has reached the upper limit of the required number of positions; And, determine the distance L around each horizontal coordinate along the W axis w Within, along the V axis at a distance L v Whether there are other selected machine locations within the range; If both of the above judgment results are "no", the point of the original three-dimensional coordinate system corresponding to the three-dimensional grid coordinate point is added as the candidate aircraft point of the corresponding aircraft model, and the number of selected aircraft points of the corresponding aircraft model is increased by 1; If one of the two judgment results is "yes", the corresponding wind energy value is ignored, and the next wind energy value is judged continuously until the number of selected positions of the model of the target high-rise corresponding to all height coordinates reaches the upper limit, thereby forming a first set of position arrangement schemes of the wind farm; The sum of the wind energy values ​​of all the candidate machine positions in the machine position arrangement scheme of the wind farm is the comprehensive power generation of the machine position arrangement scheme of the wind farm; In practical applications, due to the influence of different wind energy distributions at different target high-rises and the different numbers of required aircraft positions, the result of the previous iteration may not be the optimal solution, and multiple iterations are required to find the optimal solution. Step 2.3.3, from p 1 Begin to remove all the wind energy values ​​one by one, and after each removal of the wind energy value, perform step 2.3.2 on all the remaining wind energy values ​​and the corresponding three-dimensional grid coordinate points to form multiple sets of wind farm machine site arrangement plans; Step 2.3.4: Compare the sizes of the comprehensive power generation of all the wind farm machine site arrangement schemes, and take the wind farm machine site arrangement scheme with the largest comprehensive power generation as the optimal machine site arrangement scheme.

9. The method for optimizing the layout of wind farm units considering mixed arrangement of multiple types of units according to claim 8, It is characterized in that After completing step 2, the wind energy value distribution of each candidate machine site in the machine site arrangement scheme of the wind farm is P A The wind energy value distribution of the candidate site on other higher-level wind energy maps not involved is P B According to P B With P A The numerical differences are arranged in descending order to obtain a sequence of power generation that can be raised; and then, according to the mixed arrangement requirements of machine models, the machine sites with the highest ranking in the sequence of power generation that can be raised are selected for high-rise lifting and machine model capacity upgrade.

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