CN117521387A - Fan arrangement method and device - Google Patents
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Abstract
The disclosure provides a fan arrangement method and device, and relates to the technical field of wind power generation. The method comprises the following specific steps: receiving input cloth machine conditions and determining a wind power plant area; calculating the capacity and the number of fans corresponding to a wind power field area according to the environmental data of the wind power field area; screening the point positions in the wind power field according to the distribution conditions and the environmental data to determine a set of to-be-positioned point positions, wherein the set of to-be-positioned point positions comprises to-be-positioned point positions; determining an evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point; and selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into the distribution point position set, and generating a fan arrangement scheme according to the distribution point position set. According to the wind power station arrangement method and the wind power station arrangement device, the arrangement scheme of the wind turbines in the complex terrain is realized by screening the environmental data and the to-be-positioned points, the workload of wind power station arrangement is greatly reduced, and the arrangement efficiency of the wind turbines is improved.
Description
Technical Field
The disclosure relates to the technical field of wind power generation, in particular to a fan arrangement method and device.
Background
In the related technology, in the development and construction process of a wind farm, fan position arrangement is an important link, and the wind energy utilization rate and annual energy generation amount are directly influenced. The wind power plant development and construction relates to a plurality of professions, engineers are required to collect data for analysis, then manual arrangement of machine positions is carried out according to past experience, the traditional method is time-consuming and labor-consuming, engineering experience requirements on the engineers are high, and fan arrangement efficiency is low.
Disclosure of Invention
The disclosure provides a fan arrangement method, device and system, which at least solve the problem of lower fan arrangement efficiency in the related art. The technical scheme of the present disclosure is as follows:
according to a first aspect of an embodiment of the present disclosure, there is provided a fan arrangement method, including:
receiving input cloth machine conditions and determining a wind power plant area;
calculating the capacity and the number of fans corresponding to a wind power field area according to the environmental data of the wind power field area;
screening the point positions in the wind power field according to the distribution conditions and the environmental data to determine a set of to-be-positioned point positions, wherein the set of to-be-positioned point positions comprises to-be-positioned point positions;
determining an evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point;
And selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into the distribution point position set, and generating a fan arrangement scheme according to the distribution point position set.
Optionally, the environmental data includes at least one of:
digital Elevation Model (DEM) data, wherein the DEM data comprises elevation data, gradient data and curvature data;
ground object type data;
the resource data comprises wind speeds and A/k values corresponding to different heights;
boundary data;
the fan interval parameter comprises a long axis and a short axis of an elliptical range and an included angle between the long axis and north;
fan set parameters including impeller diameter, single machine capacity, power curve, IEC grade;
fixing machine site parameters.
Optionally, the calculating the capacity and the number of fans corresponding to the wind farm area according to the environmental data of the wind farm area includes:
calculating the earth surface utilization coefficient of each grid, the unit area capacity coefficient of the grid and the grid area according to the DEM data in the wind power field area, and further calculating the capacity corresponding to the grid;
adding all grid capacities in the wind power field to determine the corresponding capacity of the wind power field;
And determining at least one fan type to be arranged according to the wind speed, and determining the number of the fans according to fan unit parameters corresponding to the fan type to be arranged.
Optionally, the machine laying condition includes at least one of:
a minimum distance threshold for adjacent fans;
an average wind speed threshold;
a grade threshold;
a city distance threshold;
elevation range.
Optionally, the screening the points in the wind farm area according to the machine distribution condition and the environmental data to determine a set of points to be localized includes:
and determining that the average wind speed is greater than the average wind speed threshold value, the maximum gradient is less than the gradient threshold value, the distance between the average wind speed and a city is greater than the city distance threshold value, the altitude is in the altitude range and is in the wind field boundary, the altitude is outside a limiting area, the point with the distance between the altitude and other to-be-positioned points greater than the minimum distance threshold value of the adjacent fans is the to-be-positioned point, and determining the fan type corresponding to the to-be-positioned point.
Optionally, the determining the evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point includes:
determining equivalent hours according to the A/k value and a power curve of the type of the fans to be arranged corresponding to the points to be positioned;
Acquiring evaluation parameters corresponding to the points to be positioned, and comparing the importance degrees among the evaluation parameters to determine the relative weight among the evaluation parameters;
generating a judgment matrix according to the relative weights among the evaluation parameters, and carrying out consistency test on the judgment matrix to generate weight parameters corresponding to the evaluation parameters;
and carrying out normalization processing on the evaluation parameters corresponding to the to-be-positioned points to obtain normalized data, and carrying out weighting operation according to the weight parameters corresponding to the normalized data to obtain the evaluation index value.
Optionally, the selecting the to-be-positioned point location from the to-be-positioned point location set according to the evaluation index value, and adding the to-be-positioned point location to the fabric point location set includes:
determining the discarding probability of the to-be-positioned point according to the evaluation index value, and randomly moving out the to-be-positioned point according to the discarding probability;
determining the to-be-positioned point with the smallest discarding probability in the to-be-positioned point set as a point to be distributed, and adding the point to be distributed into the point to be distributed set;
screening the to-be-positioned point according to the distance between the point to be positioned and the point to be positioned in the point to be positioned set;
if the to-be-positioned point position set is changed into an empty set, stopping operation;
And if the number of the point positions of the cloth machine reaches the number of the fans, generating a fan arrangement scheme according to the point position set of the cloth machine.
Optionally, the screening the to-be-positioned point location according to the distance between the to-be-positioned point location and the point location in the point location set includes:
obtaining a major axis and a minor axis of the elliptical range according to the type of the fan to be arranged, which is arranged at the point of the cloth machine, and determining the elliptical range corresponding to the point of the cloth machine according to the major axis and the minor axis;
and deleting the to-be-positioned point positions in the elliptical range.
According to a second aspect of embodiments of the present disclosure, there is provided a fan arrangement device comprising:
the data input module is used for receiving the input distribution conditions and determining a wind power plant area;
the capacity determining module is used for calculating the capacity and the number of the fans corresponding to the wind power field area according to the environmental data of the wind power field area;
the point location determining module is used for screening the point locations in the wind power field area according to the machine distribution condition and the environmental data to determine a to-be-positioned point location set, wherein the to-be-positioned point location set comprises to-be-positioned point locations;
the evaluation module is used for determining an evaluation index value of the to-be-positioned point according to the environment data corresponding to the to-be-positioned point;
The point position screening module is used for selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into the distribution point position set, and generating a fan arrangement scheme according to the distribution point position set.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any of the first aspects.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of any one of the first aspects.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
the method and the device can accurately reflect the characteristics of the wind farm by importing, checking and assimilating the multidimensional environmental data of the wind farm, and can screen the environmental data of the points in the wind farm based on the distribution conditions by setting a plurality of distribution conditions to determine the undetermined points meeting the conditions. The method can realize preliminary screening of the point positions in the wind field based on the environmental data in the actual wind field, and can quickly obtain the screened undetermined point positions due to lower complexity of the screening machine conditions, thereby improving the machine distribution efficiency and greatly reducing the workload of the arrangement of the machine positions of the wind field.
After the to-be-positioned points are obtained, comparing importance degrees among the evaluation parameters according to the evaluation parameters corresponding to the to-be-positioned points to determine relative weights among the evaluation parameters, generating weight parameters corresponding to the evaluation parameters according to the relative weights, carrying out weighted operation on the evaluation parameters of the to-be-positioned points to generate evaluation index values, and screening out the cloth machine points according to the evaluation index values. The method has the advantages that the method realizes multi-dimensional evaluation of the fixed point positions, and the evaluation index value reflects the generated energy of the fan at the fixed point position because the importance degree of the weight parameter is related to the generated energy of the fan, realizes automatic optimization of the distribution machine aiming at the optimal generated energy, can effectively eliminate unreasonable machine positions so as to guide the distribution machine to be carried out at the point position with higher generated energy, improves the precision and accuracy of the distribution machine, and can furthest utilize wind energy resources in a field and improve the income of the wind power plant by taking the optimal generated energy as the distribution machine target.
In summary, the method comprises the steps of firstly coarsely screening according to the layout conditions and the environmental parameters, and then finely screening according to the evaluation index value, so that the accurate and efficient screening of the points in the wind farm is realized, the layout points suitable for arranging the fans are obtained, and the accuracy and the efficiency of fan arrangement are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
FIG. 1 is a flow chart illustrating a method of fan placement according to an exemplary embodiment.
FIG. 2 is a flow chart illustrating a method of fan placement according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating a fan arrangement according to an exemplary embodiment.
FIG. 4 is a schematic diagram illustrating a fan arrangement according to an exemplary embodiment.
FIG. 5 is a schematic diagram illustrating a fan arrangement according to an exemplary embodiment.
FIG. 6 is a schematic diagram illustrating a fan arrangement according to an exemplary embodiment.
FIG. 7 is a schematic diagram illustrating a fan arrangement according to an exemplary embodiment.
Fig. 8 is a block diagram of an apparatus according to an example embodiment.
Fig. 9 is a block diagram of an apparatus according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the disclosure as detailed in the accompanying claims.
The user information (including but not limited to user equipment information, user personal information, etc.) related to the present disclosure is information authorized by the user or sufficiently authorized by each party.
FIG. 1 is a flow chart illustrating a method of fan placement, as shown in FIG. 1, according to an exemplary embodiment, including the following steps.
Step 101, receiving input cloth machine conditions and determining a wind power plant area;
in the embodiment, the main idea is that the effective distribution points are scored and sequenced according to a comprehensive index evaluation system constructed by various factors such as altitude, gradient, curvature and the like, the points designated by the fixed machine point parameters are used as the output fan points, and then the points meeting the minimum elliptic fan interval requirement are selected one by one from high to low. Macroscopic site selection is carried out in the wind farm range, fans are automatically distributed, and the following requirements are met: accords with the cognition of people as much as possible and is close to the microcosmic site selection effect; the capacity of the wind field can be estimated automatically, and fans can be arranged according to the designated quantity; adopting an elliptical range to limit the distance between fans; support the mixed row of multiple machine types; supporting border retraction and supporting restricted area.
In a wind resource element map displayed by the system, a region rich in wind resources is found, a newly-built polygonal wind power plant button is clicked, a newly-built wind power plant is divided into regions, and a corresponding wind power plant region is determined.
Step 102, calculating the capacity and the number of fans corresponding to a wind power field area according to the environmental data of the wind power field area;
in this embodiment, the system automatically calculates the area of the wind farm in the selected area according to the built-in capacity estimation algorithm, automatically estimates the capacity, determines the number of machines distributed by each machine type, draws a restricted area, and starts planning after adjusting parameters or setting the restricted area.
Step 103, screening the point positions in the wind power field area according to the machine distribution condition and the environmental data to determine a to-be-positioned point position set, wherein the to-be-positioned point position set comprises to-be-positioned point positions;
104, determining an evaluation index value of the to-be-positioned point according to the environment data corresponding to the to-be-positioned point;
in this embodiment, weights of a plurality of items of environment data are set to process the environment data, and the evaluation index value is generated.
And 105, selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into a point position distribution set, and generating a fan arrangement scheme according to the point position distribution set.
In this embodiment, based on the evaluation index value, the bits to be fixed are randomly discarded, and the bit placement is selected from the discarded bits. And then judging the distance between the to-be-positioned point and the selected point of the loom point by point, and selecting the to-be-positioned point meeting the distance requirement to form a point set of the loom point.
Optionally, the environmental data includes at least one of:
digital Elevation Model (DEM) data, wherein the DEM data comprises elevation data, gradient data and curvature data;
ground object type data;
The resource data comprises wind speeds and A/k values corresponding to different heights;
boundary data;
the fan interval parameter comprises a long axis and a short axis of an elliptical range and an included angle between the long axis and north;
fan set parameters including impeller diameter, single machine capacity, power curve, IEC grade;
fixing machine site parameters.
In this embodiment, the digital elevation model (Digital Elevation Model, DEM) is a discrete mathematical representation of the topography of the earth's surface. DEM represents a finite sequence of three-dimensional vectors over the area D, xi, yi are planar coordinates, zi is the corresponding elevation of (Xi, yi).
Optionally, the step 102 calculates, according to the environmental data of the wind farm area, a capacity and a number of fans corresponding to the wind farm area, including:
calculating the earth surface utilization coefficient of each grid, the unit area capacity coefficient of the grid and the grid area according to the DEM data in the wind power field area, and further calculating the capacity corresponding to the grid;
adding all grid capacities in the wind power field to determine the corresponding capacity of the wind power field;
and determining at least one fan type to be arranged according to the wind speed, and determining the number of the fans according to fan unit parameters corresponding to the fan type to be arranged.
In this embodiment, the DEM grid system is consistent with the ground object type grid system, and has multiple resolution data. The grid capacity is calculated for each grid within the boundary as follows:
and obtaining the surface utilization coefficient of the grid. The corresponding relation between the type of the built-in ground object and the utilization coefficient of the system (see the table below) is used for eliminating meshes which cannot be laid out due to the factors of the type of the ground. And searching the utilization coefficient in a table according to the type of the ground object of the current grid under the same resolution, wherein the table of the correspondence relationship between the type of the ground object and the utilization coefficient is shown in table 1.
| Ground object type number | Type of ground object | Coefficient of utilization |
| 1 | Cultivated land | 0.6 |
| 2 | Forest | 0.6 |
| 3 | Grassland | 0.8 |
| 4 | Shrubs (shrubs) | 0.8 |
| 5 | Wet land | 0 |
| 6 | Water body | 0 |
| 7 | Moss source | 0 |
| 8 | City | 0 |
| 9 | Bare land | 1 |
| 10 | Permanent ice and snow | 0 |
TABLE 1
And obtaining the capacity coefficient of the unit area of the grid. According to different slopes, the suitability of the cloth machine is different. Obviously, the unit area of the mountain area is lower than the unit area of the plain area. The corresponding relation table of the built-in gradient grading and the capacity coefficient of the unit area of the system is shown in table 2.
| Grade classification | Gradient range (°) | Capacity coefficient per unit area (MW/km) 2 ) |
| 1 | 0～3.4 | 5 |
| 2 | 3.4～16.7 | 4 |
| 3 | 16.7～30 | 0.5 |
| 4 | 30～90 | 0 |
TABLE 2
The mesh area is calculated. The grid system is equal in longitude and latitude difference, and the grid surface side length is calculated according to the longitude and latitude difference, so that the grid area is obtained. The surface side length calculation method comprises the following steps:
Longitude side = latitude difference ONE DEG,
latitude side length=longitude degree difference ONE DEG cos (grid center latitude),
where ONE DEG represents a corresponding surface distance of 1 deg., about 111.2km.
And calculating the capacity of the mesh fabric machine. Grid routability = capacity coefficient per unit area (MW/km 2) grid area (km 2) surface utilization coefficient/1000000.
And on the basis of boundary and limit area screening, counting the sum of the capacities of all available grid points.
Optionally, the machine laying condition includes at least one of:
a minimum distance threshold for adjacent fans;
an average wind speed threshold;
a grade threshold;
a city distance threshold;
elevation range.
In one possible embodiment, the first three condition thresholds are set by the user through a software interface, and the second two are built-in with default parameters by the background.
Optionally, step 103 filters the points in the wind farm area according to the deployment condition and the environmental data to determine a set of points to be localized, including:
and determining that the average wind speed is greater than the average wind speed threshold value, the maximum gradient is less than the gradient threshold value, the distance between the average wind speed and a city is greater than the city distance threshold value, the altitude is in the altitude range and is in the wind field boundary, the altitude is outside a limiting area, the point with the distance between the altitude and other to-be-positioned points greater than the minimum distance threshold value of the adjacent fans is the to-be-positioned point, and determining the fan type corresponding to the to-be-positioned point.
Optionally, the determining, by the step 104, the evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point includes:
determining equivalent hours according to the A/k value and a power curve of the type of the fans to be arranged corresponding to the points to be positioned;
acquiring evaluation parameters corresponding to the points to be positioned, and comparing the importance degrees among the evaluation parameters to determine the relative weight among the evaluation parameters;
generating a judgment matrix according to the relative weights among the evaluation parameters, and carrying out consistency test on the judgment matrix to generate weight parameters corresponding to the evaluation parameters;
and carrying out normalization processing on the evaluation parameters corresponding to the to-be-positioned points to obtain normalized data, and carrying out weighting operation according to the weight parameters corresponding to the normalized data to obtain the evaluation index value.
Optionally, the evaluation parameter includes at least one of: elevation data, grade data, curvature data, and equivalent hours.
In this embodiment, the equivalent hours (Equivalent Operating Hours, EOH) refers to the ratio of the actual generated electric quantity of a generator set or a solar panel in a certain time to the rated installed capacity of the device, so as to measure the actual power generation efficiency of the power generation device.
The number of equivalent hours is calculated as follows:
in evaluating the amount of power generation, the adjustment of the non-standard air density power curve means that there is a loss of power generation due to the amount of power generation evaluated by the difference between the local air density and the air density corresponding to the power curve.
To ensure adjustment of the local air density, we typically calculate a power curve that adjusts to the local air density. For an actively pitched wind generator, the power curve needs to be adjusted by the following equation:
wherein:
V On-site : by local air density modulationWind speed after finishing
V 0 : actually observed wind speed
ρ On-site : local air density
ρ 0 : standard air density
Average powerThe calculation formula of (2) is as follows:
n: number of wind speed sectional intervals
V i : wind speed in the ith zone
P i : output power of the ith section
F (V): the calculation formula of the Weibull distribution cumulative function is as follows:
k is a weibull shape parameter in the above formula, and A has the following calculation formula:
V mast : the wind measuring tower is arranged at the wind measuring height H mast A corresponding wind speed;
H mast : wind measuring height of wind measuring tower;
H hub-height : fan hub height;
alpha: comprehensive wind shear index of wind tower;
calculation of annual energy production
Wherein:
e: annual net power production (kWh);
average power (kW);
Calculation of equivalent hours
H eq : number of year equivalent hours (h);
cap: installed capacity (kW).
In order to guide the machine to automatically distribute the machine on the high-quality point, a proper score evaluation system is required to be established to reflect the effect of the position of the machine. The score evaluation system comprises four evaluation parameters: elevation, grade, curvature, number of equivalent hours. The overall principle of the scoring system is that the larger the elevation, the better the curvature (the elevation is enough Gao Yehang when the curvature is 0), the smaller the gradient, the better the larger the equivalent hours.
The evaluation parameters are compared in pairs, and the importance difference between the two evaluation parameters is represented by a number of 1-9. 1 represents that two evaluation parameters are equally important, 3 represents that one evaluation parameter is slightly more important than the other evaluation parameter, 5 represents that one evaluation parameter is obviously more important than the other evaluation parameter, 7 represents that one evaluation parameter is more important than the other evaluation parameter, 9 represents that one evaluation parameter is extremely important than the other evaluation parameter, and 2, 4, 6 and 8 represent that the importance of the two evaluation parameters is relatively close.
In one possible embodiment, the elevation is 3 and 4 compared to the slope and curvature values, respectively, and the slope is 2 compared to the curvature value for consistency.
The elevation is respectively 4 and 5 compared with the curvature and the equivalent hour number, and the curvature is 2 compared with the equivalent hour number to maintain consistency
The elevation mainly improves the quality of wind resources through the increase of the elevation, the wind resources are evaluation parameters which are primarily considered in the site selection of the machine, therefore, the elevation is the most important of all the evaluation parameters to be considered, the gradient influences the selection of the machine site through the construction condition, the importance of the machine site is inferior to that of the elevation, but is more important than other evaluation parameters, and the importance of the elevation compared with the gradient is 3 through the theoretical analysis.
The elevation is 3 and 5 compared with the gradient and the equivalent hour number, and the gradient is 3 compared with the equivalent hour number to maintain consistency
Curvature is another evaluation parameter reflecting the ridge construction condition, and because the ridge top construction condition is only related, the elevation is slightly limited compared with the gradient, and therefore the importance of the elevation compared with the curvature is 4 and slightly higher than the gradient.
The equivalent hour number is another evaluation parameter reflecting the feasibility of the machine site, but because the measurement and calculation of the wind power hour number under the use scene of the method often has larger uncertainty, the elevation is compared with the equivalent hour number to take the value of 5 in order to reduce the influence of the evaluation parameter on the selection of the machine site.
Finally obtaining a judgment matrix of 4 evaluation parameters according to the analysis, wherein the judgment matrix comprises weight parameters corresponding to the evaluation parameters:
| Elevation | gradient of slope | Curvature of | Number of equivalent hours | |
| Elevation | 1 | 3 | 4 | 5 |
| Gradient of slope | 1/3 | 1 | 2 | 3 |
| Curvature of | 1/4 | 1/2 | 1 | 2 |
| Number of equivalent hours | 1/5 | 1/3 | 1/2 | 1 |
The judgment matrix passes the consistency check. The weight parameters of each evaluation parameter are respectively obtained as follows: elevation data-0.560747664, grade data-0.186915888, curvature data-0.140186916, equivalent hours-0.112149533
The normalization process of the four evaluation parameters is as follows:
1) Gao Chengqu from the high precision DEM data, the numerical range is from about-800 to 8848, and the normalization method is as follows:
lower elevation limit=max (wind field elevation 5% fractional, minimum elevation threshold value)
Upper elevation limit=min (wind field elevation 95% quantile, maximum elevation threshold value)
Wherein the minimum elevation threshold is 0 m, the maximum elevation threshold is 9000 m, i.e. the higher the high Cheng Yue large score is, the lower the 0 m score is negative.
2) The gradient is obtained by secondary processing of DEM elevation data, the numerical range is from 0 to 90, and the normalization method is as follows:
the maximum grade threshold defaults to 30 degrees, i.e., the smaller the grade the higher the grade score, and the grade score exceeding 30 degrees is negative.
3) The curvature is obtained by secondary processing of DEM elevation data, and the numerical ranges are different according to different terrain complexity. The mountain area of gentle topography is generally from about-0.5 to about 0.5, and the extreme steep and rough is from about-4 to about 4, without excluding a part of the lattice points from being out of range. The normalization method is as follows:
Normalized curvature = sign (curvature)/(curvature-minimum curvature threshold value)/(scaling factor)
The minimum curvature threshold defaults to 0.001, and from the above formula, the larger the curvature, the higher the score.
4) The equivalent hours are calculated according to the wind speed A, k value and the unit power curve, the numerical range is from 0 to 4000, and the normalization method is as follows:
i.e. the score is higher the greater the number of equivalent hours.
Optionally, the step 105 selects the pending point from the set of pending points according to the evaluation index value, and adds the selected pending point to the set of fabric points, including:
determining the discarding probability of the to-be-positioned point according to the evaluation index value, and randomly moving out the to-be-positioned point according to the discarding probability;
determining the to-be-positioned point with the smallest discarding probability in the to-be-positioned point set as a point to be distributed, and adding the point to be distributed into the point to be distributed set;
screening the to-be-positioned point according to the distance between the point to be positioned and the point to be positioned in the point to be positioned set;
if the to-be-positioned point position set is changed into an empty set, stopping operation;
and if the number of the point positions of the cloth machine reaches the number of the fans, generating a fan arrangement scheme according to the point position set of the cloth machine.
In this embodiment, the score-ordered set of pending points is marked as C, and the score satisfies
The point location set of the cloth marking machine is S.
Selecting the first ranked point location C from the set C n And adding the point position set S of the loom. Then exclude C from C 1 And obtaining a new set C by the pending point position of the range conflict. Easily-known C 1 Not in the new set C.
And (3) circulating the process, and judging whether the termination condition is met or not every time a new point set is added into the selected point set. The arrangement process may be terminated when one of the following two conditions is satisfied:
the set of pending points is empty;
the number of point positions in the point position set S meets the requirement (i.e. the number of points to be distributed reaches the expected number, and the number of points to be distributed is calculated according to the automatic estimated capacity or specified by the user).
In one possible embodiment, for a 30m resolution grid, the number of grids increases substantially, all pending points need to be range-determined with the selected points, and elliptical range determination involves a large number of trigonometric functions, root-opening, division, etc., resulting in low time efficiency.
The following means are adopted to accelerate the calculation:
coarse screening and fine inspection
The point with a longer distance can be confirmed to be not in the elliptical range by only performing one subtraction according to the longitude and latitude. And (3) after one round of coarse screening, a selected point set with a relatively short distance and uncertainty of whether the selected point set is in a range is left, and further judgment is carried out by adopting a strict elliptic equation.
The method for determining the longitude and latitude boundary of the coarse screen comprises the following steps: the length of the long half shaft and the short half shaft is properly enlarged to generate oblique ellipses, so that the maximum longitude and the minimum latitude are obtained and are marked as x_max, x_min, y_max and y_min. While satisfying (x+x_min) < lon < (x+x_max), and (y+y_min) < lat < (y+y_max), then leave the selected set of points to be further scrutinized.
Randomly discarding the pending bit positions
Since the scores of adjacent grid points are generally similar, it is easy to know that if the to-be-positioned point is selected, the large probability does not meet the spacing requirement. Thus, the pending points are randomly discarded, the set of pending points is reduced, and the lower the score, the larger the discarding probability (the random probability between discarding probabilities=0 to 1, the ranking of the pending points).
Because the algorithm is arranged in sequence according to the scores, the wind field arrangement fans are possibly limited by the distance between the first-in selection points, and the number of the wind field arrangement fans is less than that of the expected wind field arrangement fans. The initial entry points have certain randomness, and a more number of arrangement schemes can be explored.
The specific implementation mode is that a random point with the top score (the random point is tentatively selected from the top 10 percent of the ranking) is selected from the set of points to be positioned at first, and then fans are arranged one by one. In order to increase the stability of the fan arrangement scheme (the arrangement of the most number can be obtained in most times), the process can be repeated for a plurality of times, and the scheme with the most number is used as the final arrangement scheme.
In one possible embodiment, when the multiple machine types are arranged, aiming at the elliptical ranges of different machine types, a new oblique ellipse can be constructed by taking a longer half shaft and a shorter half shaft to be larger, so that the safe distance can be met in two directions. This means that if a large blade model is arranged first, the points of the set of points to be positioned will not be subject to model differences and the elliptical range will need to be determined again.
In one possible embodiment, firstly, sorting is performed from large to small according to the diameters of impellers, then machine-to-machine type point positions are selected from the to-be-positioned point position set, and the requirement of the number of arranged machine positions is met.
Optionally, the screening the to-be-positioned point location according to the distance between the to-be-positioned point location and the point location in the point location set includes:
obtaining a major axis and a minor axis of the elliptical range according to the type of the fan to be arranged, which is arranged at the point of the cloth machine, and determining the elliptical range corresponding to the point of the cloth machine according to the major axis and the minor axis;
and deleting the to-be-positioned point positions in the elliptical range.
In this embodiment, the distance between fans is limited by using an ellipse, and adjacent fans are not allowed to be within the ellipse of each other. Setting the major and minor half axes to the same value is equivalent to a circular area limitation.
When the included angle between the long axis and the north is 0 degree, the long axis is in the y axis, and the short axis is in the x axis. And a represents a long half shaft, b represents a short half shaft, and then an elliptic equation is as follows:
When the long axis rotates clockwise by theta degrees (namely, the main wind direction is not in the north direction), judging whether the point is in the oblique ellipse of the origin, and according to an ellipse equation:
if it isThe description point is within the diagonal ellipse of the origin.
Determining whether the point is around the center point (x 0 ，y 0 ) In the range of the oblique ellipse, the oblique ellipse needs to be translated, and an ellipse equation is as follows:
by drawing ellipse, it can be visually checked whether the judgment result is correct. Firstly, generating a straight ellipse:
x＝b*cosαα＝0:1:360
y＝a*sinα
then, rotation and translation are carried out:
the above is based on a Cartesian coordinate system, and is slightly modified for a longitude and latitude coordinate system:
x-x in formula (1) 0 Y-y 0 The longitude and latitude difference is converted into the surface distance, and a sign function is adopted to keep the positive and negative relationship. The surface distance is calculated based on the following formula:
where 6371 is the radius of the earth in km. *1000 converts the unit into m.
x-x 0 When the distance between the points with the same latitude and different longitudes is calculated, the distance formula is simplified into:
y-y 0 when the distance between the points with different latitudes and the same longitude is calculated, the distance formula is simplified as follows:
D＝|lat2-lat1|*6371*1000
when the formula (2) adopts a longitude and latitude coordinate system, the method can be used for a fan arrangement time point set coarse screen (according to longitude and latitude values, whether the fan arrangement time point set coarse screen is obviously not in an elliptical range is primarily judged). The length a of the long half shaft and the length b of the short half shaft are required to be converted from the surface distance into longitude and latitude:
a'＝a/ONE_DEG/1000
b'＝b/ONE_DEG/1000/cos(y 0 )。
FIG. 2 is a flow chart illustrating a method of fan placement according to an exemplary embodiment.
FIG. 3 is a block diagram of a fan arrangement device, according to an example embodiment. Referring to fig. 3, the apparatus includes:
a data input module 310, configured to receive an input deployment condition and determine a wind farm area;
the capacity determining module 320 is configured to calculate, according to environmental data of a wind farm area, a capacity and a number of fans corresponding to the wind farm area;
the point location determining module 330 is configured to screen the points in the wind farm area according to the machine distribution condition and the environmental data to determine a set of to-be-positioned points, where the set of to-be-positioned points includes to-be-positioned points;
an evaluation module 340, configured to determine an evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point;
the point screening module 350 is configured to select a to-be-positioned point from the to-be-positioned point set according to the evaluation index value, add the to-be-positioned point to the point set of the blower, and generate a blower arrangement scheme according to the point set of the blower.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 4 and 5 are schematic diagrams illustrating a fan arrangement according to an exemplary embodiment. As shown in fig. 4, the wind farm area belongs to a mountain with more complex terrain, the area is 7.81 square kilometers, the wind farm area is estimated according to 30m resolution, and the range of the wind farm area is approximately composed of 8678 grids. The cloth machine conditions include: the corresponding capacity of the wind power plant area is 100MW, the average wind speed is greater than 4.5m/s, the fan distance (long axis 4.5D (impeller diameter), short axis 2D (impeller diameter)), the long axis direction (included angle 112.5 degrees), the terrain gradient (less than 20 degrees) and the boundary distance (more than 10 m). Meanwhile, three limiting areas are added, fans cannot be arranged in the limiting areas, the distance between each fan and each point in each limiting area is larger than the avoiding distance (90 m), screening is carried out according to the cloth machine conditions, the obtained cloth machine result (namely cloth machine point position set) is shown in fig. 5, each cloth machine point position meets the requirements of the boundary distance of a wind field, the limiting area (blank area in the figure) and the avoiding distance, the number of cloth machines meets the requirements, and the distance between fans meets the requirements. The main wind direction of the wind field is southeast, and the long axis direction of the fan in the set cloth machine condition is as follows: the included angle between the long axis and the north-right direction is 112.5 degrees, so that the fan arranged on the selected to-be-positioned point can face the main wind direction, and wind energy can be converted into electric energy more effectively.
And then judging the point location arrangement quality. For mountain lands, the mountain lands are generally arranged at local high points according to the ridge, or mountain slopes meeting the gradient requirement and the safety distance. It is easy to see that the distribution points of the system are basically distributed along the ridge, because when the evaluation index value of the point to be positioned is calculated in the scheme, the weight parameter corresponding to the elevation is the largest in all the evaluation parameters, and the evaluation index value corresponding to the point to be positioned with higher elevation is higher. Therefore, in the process of selecting the to-be-positioned point from the to-be-positioned point set and adding the to-be-positioned point to the distribution point set, the probability that the to-be-positioned point with higher elevation is selected as the distribution point is larger. The fans arranged on the ridges are higher in altitude, so that the air quantity passing through the fans is larger, higher electric energy can be generated, and the Internet surfing electric quantity and the utilization hours of the wind power plant are improved.
In general, the point location of the established wind field is a final fan arrangement scheme obtained through a plurality of links such as actual wind measurement, refined resource back calculation, high-precision terrain data, professional fluid mechanics software, wind resource expert experience, construction fine adjustment and the like for more than one year.
In the macroscopic site selection stage, the method does not have corresponding data conditions. Therefore, the method aims at automatically providing a distribution scheme with larger generated energy under the condition of conforming to logic as much as possible according to hundred-meter-level refined map and topographic data. Comparing the position of the machine distribution point in the fan arrangement scheme with the fan shadow of the map, most of the machine positions are provided with the fan shadow, which indicates that the system arrangement position basically accords with logic, and part of the machine positions are almost coincident with the actual machine positions even, and the distance difference is less than 20m. And (5) saving the distribution scheme and calculating the electric quantity, namely checking the overall network electric quantity and the utilization hours of the wind field.
Fig. 6 and 7 are schematic diagrams illustrating a fan arrangement according to an example embodiment. As shown in FIG. 6, the wind farm area is a wind farm of flat terrain, the area is 10.02 square kilometers, estimated at 30m resolution, and the wind farm area is approximately composed of 11134 grids. The cloth machine conditions include: the corresponding capacity of the wind power plant area is 50MW, the average wind speed is greater than 4.5m/s, the fan distance (long axis 14D (impeller diameter), short axis 2.3D (impeller diameter)), the long axis direction (included angle 0 °), the terrain gradient (less than 20 °), and the boundary distance (greater than 300 m). The fan arrangement scheme obtained after the air distribution according to the air distribution conditions is shown in fig. 7, wherein each air distribution point position meets the requirements of the boundary distance of a wind field, a limiting area (blank area in the figure) and the avoiding distance, the number of the air distribution machines meets the requirements, and the distance between the air distribution machines meets the requirements. It can be seen that the system layout points are arranged in a substantially regular row and column, wherein two machine points between the first row and the second row have to be moved outwards to maintain the fan spacing in the elliptical range due to the advanced occupation of the peripheral points. The main wind direction in the wind field is south, so the long axis direction in the cloth machine condition is as follows: the included angle between the long axis and the north direction is 0 degree, and the fan arranged in the way can face the main wind direction, so that wind energy can be converted into electric energy more effectively. Meanwhile, as the elevation difference of each potential of the plain is smaller, the distribution points calculated by the algorithm are distributed in regular rows and columns, the distribution is favorable for the fans to efficiently utilize wind energy, less wind energy is received by the fans in front of and behind the main wind direction, higher electric energy is generated, and the online electric quantity and the utilization hours of the wind power plant are improved.
Fig. 8 is a block diagram illustrating an apparatus 800 according to an example embodiment. Referring to fig. 8, apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the apparatus 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the device 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 806 provides power to the various components of the device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 800.
The multimedia component 808 includes a screen between the device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the apparatus 800. For example, the sensor assembly 814 may detect an on/off state of the device 800, a relative positioning of the components, such as a display and keypad of the apparatus 800, the sensor assembly 814 may also detect a change in position of the apparatus 800 or one component of the apparatus 800, the presence or absence of user contact with the apparatus 800, an orientation or acceleration/deceleration of the apparatus 800, and a change in temperature of the apparatus 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the apparatus 800 and other devices, either in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, an operator network (e.g., 2G, 3G, 4G, or 5G), or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a storage medium is also provided, such as a memory 804 including instructions executable by processor 820 of apparatus 800 to perform the above-described method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
Fig. 9 is a block diagram of an apparatus 900 according to an example embodiment. For example, apparatus 900 may be provided as a server. Referring to FIG. 9, apparatus 900 includes a processing component 922 that further includes one or more processors, and memory resources represented by memory 932, for storing instructions, such as applications, executable by processing component 922. The application programs stored in memory 932 may include one or more modules that each correspond to a set of instructions. Further, processing component 922 is configured to execute instructions to perform the above-described methods.
The apparatus 900 may also include a power component 926 configured to perform power management of the apparatus 900, a wired or wireless network interface 950 configured to connect the apparatus 900 to a network, and an input output (I/O) interface 958. The device 900 may operate based on an operating system stored in memory 932, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of fan placement, comprising:
receiving input cloth machine conditions and determining a wind power plant area;
calculating the capacity and the number of fans corresponding to a wind power field area according to the environmental data of the wind power field area;
screening the point positions in the wind power field according to the distribution conditions and the environmental data to determine a set of to-be-positioned point positions, wherein the set of to-be-positioned point positions comprises to-be-positioned point positions;
determining an evaluation index value of the to-be-positioned point according to the environmental data corresponding to the to-be-positioned point;
and selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into the distribution point position set, and generating a fan arrangement scheme according to the distribution point position set.
2. The method of claim 1, wherein the environmental data comprises at least one of:
digital Elevation Model (DEM) data, wherein the DEM data comprises elevation data, gradient data and curvature data;
Ground object type data;
the resource data comprises wind speeds and A/k values corresponding to different heights;
boundary data;
the fan interval parameter comprises a long axis and a short axis of an elliptical range and an included angle between the long axis and north;
fan set parameters including impeller diameter, single machine capacity, power curve, IEC grade;
fixing machine site parameters.
3. The method according to claim 2, wherein calculating the capacity and the number of fans corresponding to the wind farm area according to the environmental data of the wind farm area comprises:
calculating the earth surface utilization coefficient of each grid, the unit area capacity coefficient of the grid and the grid area according to the DEM data in the wind power field area, and further calculating the capacity corresponding to the grid;
adding all grid capacities in the wind power field to determine the corresponding capacity of the wind power field;
and determining at least one fan type to be arranged according to the wind speed, and determining the number of the fans according to fan unit parameters corresponding to the fan type to be arranged.
4. A method according to claim 3, wherein the machine conditions include at least one of:
A minimum distance threshold for adjacent fans;
an average wind speed threshold;
a grade threshold;
a city distance threshold;
elevation range.
5. The method of claim 4, wherein the screening the sites in the wind farm area according to the deployment conditions and the environmental data to determine a set of pending sites comprises:
and determining that the average wind speed is greater than the average wind speed threshold value, the maximum gradient is less than the gradient threshold value, the distance between the average wind speed and a city is greater than the city distance threshold value, the altitude is in the altitude range and is in the wind field boundary, the altitude is outside a limiting area, the point with the distance between the altitude and other to-be-positioned points greater than the minimum distance threshold value of the adjacent fans is the to-be-positioned point, and determining the fan type corresponding to the to-be-positioned point.
6. The method according to claim 5, wherein determining the evaluation index value of the pending point according to the environmental data corresponding to the pending point comprises:
determining equivalent hours according to the A/k value and a power curve of the type of the fans to be arranged corresponding to the points to be positioned;
acquiring evaluation parameters corresponding to the points to be positioned, and comparing the importance degrees among the evaluation parameters to determine the relative weight among the evaluation parameters;
Generating a judgment matrix according to the relative weights among the evaluation parameters, and carrying out consistency test on the judgment matrix to generate weight parameters corresponding to the evaluation parameters;
and carrying out normalization processing on the evaluation parameters corresponding to the to-be-positioned points to obtain normalized data, and carrying out weighting operation according to the weight parameters corresponding to the normalized data to obtain the evaluation index value.
7. The method of claim 6, wherein the evaluation parameters include at least one of:
elevation data, grade data, curvature data, and equivalent hours.
8. The method according to claim 1, wherein selecting a pending point from the set of pending points to add to a set of fabric points according to the evaluation index value comprises:
determining the discarding probability of the to-be-positioned point according to the evaluation index value, and randomly moving out the to-be-positioned point according to the discarding probability;
determining the to-be-positioned point with the smallest discarding probability in the to-be-positioned point set as a point to be distributed, and adding the point to be distributed into the point to be distributed set;
screening the to-be-positioned point according to the distance between the point to be positioned and the point to be positioned in the point to be positioned set;
If the to-be-positioned point position set is changed into an empty set, stopping operation;
and if the number of the point positions of the cloth machine reaches the number of the fans, generating a fan arrangement scheme according to the point position set of the cloth machine.
9. The method of claim 8, wherein the screening the to-be-located points according to distances of the to-be-located points from a set of the to-be-located points comprises:
obtaining a major axis and a minor axis of the elliptical range according to the type of the fan to be arranged, which is arranged at the point of the cloth machine, and determining the elliptical range corresponding to the point of the cloth machine according to the major axis and the minor axis;
and deleting the to-be-positioned point positions in the elliptical range.
10. A fan arrangement apparatus, comprising:
the data input module is used for receiving the input distribution conditions and determining a wind power plant area;
the capacity determining module is used for calculating the capacity and the number of the fans corresponding to the wind power field area according to the environmental data of the wind power field area;
the point location determining module is used for screening the point locations in the wind power field area according to the machine distribution condition and the environmental data to determine a to-be-positioned point location set, wherein the to-be-positioned point location set comprises to-be-positioned point locations;
The evaluation module is used for determining an evaluation index value of the to-be-positioned point according to the environment data corresponding to the to-be-positioned point;
the point position screening module is used for selecting the to-be-positioned point positions from the to-be-positioned point position set according to the evaluation index value, adding the to-be-positioned point positions into the distribution point position set, and generating a fan arrangement scheme according to the distribution point position set.
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