CN115329428A

CN115329428A - Method, device and equipment for determining fan arrangement mode and storage medium

Info

Publication number: CN115329428A
Application number: CN202210945126.0A
Authority: CN
Inventors: 杨雷; 李伟栋
Original assignee: Sungrow Renewables Development Co Ltd
Current assignee: Sungrow Renewables Development Co Ltd
Priority date: 2022-08-08
Filing date: 2022-08-08
Publication date: 2022-11-11

Abstract

The invention discloses a method, a device, equipment and a storage medium for determining a fan arrangement mode, wherein the method comprises the following steps: generating initial point positions of fan arrangement according to the wind resource data, the fan parameters and the topographic data; determining an initial arrangement scheme according to the initial point positions; acquiring an optimization strategy of fan arrangement, optimizing an initial arrangement scheme according to the optimization strategy, and determining a target arrangement scheme; and determining the target arrangement scheme as a fan arrangement mode. The invention discloses a method for determining fan arrangement modes, and provides an automatic fan arrangement method.

Description

Method, device and equipment for determining fan arrangement mode and storage medium

Technical Field

The invention relates to the technical field of wind power generation, in particular to a method, a device, equipment and a storage medium for determining a fan arrangement mode.

Background

With the continuous improvement of energy policy, the proportion of non-fossil energy represented by wind energy and photovoltaic energy is further greatly increased. In the current wind power field, regardless of macroscopic site selection or fan type selection, manual leading is still needed at present, in the face of a large number of uncertain factors and complex site conditions, the theoretical scheme number is astronomical number, the manual design efficiency cannot meet the project design requirement, and the design quality cannot be guaranteed. In the face of fan type selection and point location site selection with complex scenes and huge combined data amount of theoretical schemes, the design only based on manual experience becomes one of the bottlenecks restricting the development of the industry, and a wind power plant fan arrangement method which is faster in calculation, better in result and more practical is urgently needed to further improve the design efficiency and the design quality and achieve the aim of continuous low-cost innovation.

The wind power design system in the prior art improves the design efficiency to a certain extent, but is far away from the intelligent and automatic target. The problems that the prior art is universal are that the function is single, the data error is large, the quality is low, the random performance of the optimized scheme is strong, the scheme is difficult to reproduce, the calculation speed is low, the functions of multi-fan automatic type selection, point position automatic optimization and the like are not provided, and therefore the actual landing performance of the system is not high.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for determining a fan arrangement mode, which are used for realizing the automatic design of the fan arrangement mode.

According to an aspect of the present invention, a method for determining an arrangement manner of fans is provided, including:

generating initial point positions of fan arrangement according to the wind resource data, the fan parameters and the topographic data;

determining an initial arrangement scheme according to the initial point positions;

acquiring an optimization strategy of fan arrangement, optimizing the initial arrangement scheme according to the optimization strategy, and determining a target arrangement scheme;

and determining the target arrangement scheme as the fan arrangement mode.

Further, generating an initial point location of the wind turbine according to the wind resource data, the wind turbine parameters and the terrain data, including:

generating a point location grid according to the terrain data and the wind resource data, and determining the grid density of the point location grid;

and generating the corresponding initial point positions according to the grid density and the fan parameters.

Further, generating a point location grid according to the terrain data and the wind resource data, including:

mapping the terrain data into an initial point location grid containing coordinates;

and identifying candidate areas which can be used for fan arrangement in the topographic data, dividing the candidate areas according to the wind resource data, and generating at least one target grid area, wherein the target grid area comprises the point location grid.

Further, determining a lattice density of the point location lattice comprises:

acquiring initial grid density of each target grid region;

and adjusting the initial grid density according to the wind resource data, and determining the grid density of the point location grid.

Further, determining an initial arrangement scheme according to the initial point location includes:

classifying the fans according to the fan parameters, and determining at least one fan type;

and determining at least one initial arrangement scheme according to the initial point positions aiming at each fan type.

Further, for each fan type, determining at least one initial arrangement scheme according to the initial point location, including:

respectively obtaining the initial tower barrel height corresponding to each fan type;

and carrying out economic optimization according to the initial tower barrel height and the initial point position, and determining the matching point position and the matching tower barrel height corresponding to each fan type.

Further, optimizing the initial arrangement scheme according to the optimization strategy, and determining a target arrangement scheme, including:

screening the initial arrangement scheme to obtain an optimizable arrangement scheme in the initial arrangement scheme;

optimizing the optimized arrangement scheme and determining at least one alternative optimization scheme;

and evaluating the alternative optimization schemes according to the optimization strategy, and determining the target arrangement scheme in the at least one alternative optimization scheme.

Further, optimizing the optimizable arrangement to determine at least one alternative optimization, comprising:

acquiring the type and the height of a tower drum corresponding to the optimized configuration scheme;

evaluating the power generation benefit of each fan in the optimized arrangement scheme, and performing fan type replacement and tower height adjustment on the fan of which the power generation benefit is less than a set threshold value according to the evaluation result;

and evaluating the power generation benefits of the adjusted fans, and carrying out point location adjustment on the fans with the power generation benefits smaller than a set threshold value according to the evaluation result, wherein each point location adjustment corresponds to one alternative optimization scheme.

According to another aspect of the present invention, there is provided a device for determining an arrangement of fans, including:

the initial point location generation module is used for generating initial point locations of fan arrangement according to the wind resource data, the fan parameters and the topographic data;

the initial arrangement scheme determining module is used for determining an initial arrangement scheme according to the initial point positions;

the target configuration scheme determining module is used for acquiring an optimization strategy of fan configuration, optimizing the initial configuration scheme according to the optimization strategy and determining a target configuration scheme;

and the fan arrangement mode determining module is used for determining the target arrangement scheme as the fan arrangement mode.

Optionally, the initial point location generating module is further configured to:

acquiring initial grid density of each target grid region;

Optionally, the initial arrangement scheme determining module is further configured to:

Optionally, the target arrangement determining module is further configured to:

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method for determining the fan arrangement according to any embodiment of the present invention.

According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to implement the method for determining the fan arrangement according to any embodiment of the present invention when the computer instructions are executed.

The embodiment of the invention discloses a method for determining a fan arrangement mode. The embodiment of the invention discloses a method for determining fan arrangement modes, and provides an automatic fan arrangement method.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a method for determining a fan arrangement according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for determining a fan arrangement manner according to a second embodiment of the present invention;

FIG. 3 is a schematic diagram of a point location grid according to a second embodiment of the present invention;

fig. 4 is a schematic structural diagram of a device for determining an arrangement manner of fans, according to a third embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device that implements the method for determining the fan arrangement manner according to the fourth embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a method for determining a fan arrangement manner according to an embodiment of the present invention, where the embodiment is applicable to a case where an intelligent design is performed on a fan arrangement manner, and the method may be executed by a device for determining a fan arrangement manner, where the device for determining a fan arrangement manner may be implemented in a hardware and/or software manner, and the device for determining a fan arrangement manner may be configured in an electronic device. As shown in fig. 1, the method includes:

and S110, generating initial point positions of fan arrangement according to the wind resource data, the fan parameters and the topographic data.

The wind resource data is wind resource data of a fan installation area, including but not limited to wind strength, wind direction, air density and the like, and can be obtained according to related wind resource data disclosed by a third party or obtained by processing according to actually measured data of a wind measuring tower; the fan parameters can be data such as fan model, optional height of tower drum, regional installation capacity, fan number range and the like, and proper fan parameters can be determined according to actual requirements when the fan is installed; the terrain data may include three-dimensional terrain data and two-dimensional terrain pictures of the site where the wind turbine is installed, such as satellite and/or aerial maps, and the like. The initial point location that the fan was arranged is the concrete mounted position of each fan in the fan installation region, and each fan corresponds a point location.

In this embodiment, after acquiring the wind resource data, the wind turbine parameters, and the terrain data, an initial wind turbine configuration mode may be generated according to these data. For example, the size of a target area where fans can be installed is determined according to terrain data, the number of fans in the target area is determined according to data such as area installation capacity and fan number range, and the determined number of points are uniformly distributed in the target area. Then, according to the wind resource data, the point location arrangement can be made denser for the area with better wind resources, and the point location arrangement can be made sparser for the area with poorer wind resources.

Preferably, a fan arrangement system may be used to input the data into the system, and the system processes the data to automatically generate the initial point locations.

And S120, determining an initial arrangement scheme according to the initial point positions.

The initial point location is an initial fan installation position, and the initial arrangement scheme is a fan arrangement scheme which is generated according to the initial point location and comprises information such as fan type and fan tower drum height.

In this embodiment, after the initial point location is determined, information of the wind turbine installed at the initial point location may be further determined, for example, a model of the wind turbine suitable for installation at the point location, a height of a tower drum corresponding to the wind turbine, and the like are determined according to parameters of the wind turbine and installation cost and power generation amount required by a user.

S130, obtaining an optimization strategy of fan arrangement, optimizing the initial arrangement scheme according to the optimization strategy, and determining a target arrangement scheme.

The limiting conditions in the optimization strategy include, but are not limited to, power generation amount, equivalent hours, power consumption cost, unit power generation investment and the like. Generally, the optimization strategy can be determined according to the user requirements, wherein factors such as economy, power generation benefits and the like are comprehensively considered.

In this embodiment, after the initial arrangement scheme is determined, the initial arrangement scheme may be adjusted by using an optimization strategy. For example, according to the power generation benefit, the type of the fan can be replaced for a fan with poor power generation benefit, or the height of a corresponding tower can be adjusted.

Preferably, each adjustment may be used as a candidate, an optimization policy function may be determined according to the optimization policy, the evaluation value of each candidate may be calculated by using the function, and the candidate with the highest evaluation value is determined as the target arrangement scheme by comparing the magnitudes of the evaluation values of the candidates.

And S140, determining the target arrangement scheme as a fan arrangement mode.

In this embodiment, after the target arrangement scheme is determined, a final fan arrangement mode may be determined according to information such as fan point locations, fan models at each point location, tower heights, and the like determined in the scheme.

The embodiment of the invention discloses a method for determining a fan arrangement mode. The method for determining the fan arrangement mode provided by the embodiment of the invention provides an automatic fan arrangement method, and according to the topographic data, the wind resource data and the fan parameter information selected by the project site, the optimal fan arrangement mode can be quickly and efficiently found out, the dependence on the experience of designers is reduced, and the design efficiency and the design quality are improved.

Example two

Fig. 2 is a flowchart of a method for determining a fan arrangement manner according to a second embodiment of the present invention, which is a refinement of the above embodiments. As shown in fig. 2, the method includes:

and S210, generating a point location grid according to the terrain data and the wind resource data, and determining the grid density of the point location grid.

In this embodiment, an area suitable for installing the fan may be obtained according to the topographic data and the wind resource data, and the installation point locations of the fan are identified by the point location grids in the area, where the grid density of the point location grids is the installation density of the fan.

Optionally, the manner of generating the point location grid according to the topographic data and the wind resource data may be: mapping the terrain data into an initial point location grid containing coordinates; and identifying candidate areas which can be used for fan arrangement in the topographic data, dividing the candidate areas according to the wind resource data, and generating at least one target grid area, wherein the target grid area comprises point position grids.

Specifically, for the topographic data, firstly, building areas such as houses and avoidance areas such as cliffs, large rivers and lakes can be automatically identified by using algorithms such as a convolutional neural network and the like based on satellite images or aerial images. Because the picture in the original topographic data does not contain coordinate information, the corresponding position needs to be found in the initial point location grid containing coordinates by combining the picture characteristics, the purpose of automatically framing the avoidance area is realized, and the area after the avoidance area is removed is the alternative area. According to the wind resource information, the candidate regions can be divided according to the principle that the wind resource of each region is not changed greatly and is consistent in region.

Fig. 3 is a schematic diagram of a point location grid according to an embodiment of the present invention, and as shown in the figure, the point location grid includes two target grid regions.

Optionally, the manner of determining the grid density of the point location grid may be: acquiring initial grid density of each target grid area; and adjusting the initial grid density according to the wind resource data, and determining the grid density of the point location grid.

Specifically, the initial grid density may be a default value, such as a default grid size of 200 meters by 200 meters. The point location grids can be generated according to the initial grid density, and then adjustment is performed according to the wind resources, and the grid density of the generated point location grids is higher as the wind resources are better. Preferably, the gradient information of the area can be combined, if the gradient changes greatly, the area is considered to be too steep and unavailable, and the grid of the area is deleted; if the gradient is gentle, the grid density can be increased, and a plurality of grid density grades can be set in the grid density adjusting process.

And S220, generating corresponding initial point positions according to the grid density and the fan parameters.

In this embodiment, after the point location grids with a certain grid density are determined, each point location grid may be made to correspond to one point location. Preferably, the fan type, the tower height, the blade diameter and the like can be considered according to fan parameters, fan classification is carried out, the requirement on the point location spacing corresponding to the fans of the same type is consistent, and the requirement on the point location spacing between different types is inconsistent.

And S230, classifying the fans according to the fan parameters, and determining at least one fan type.

Specifically, because the parameters of the fan such as manufacturers, the height, the blade length and the like may not be consistent, in order to reduce the calculation amount, the fans can be classified according to the fan type, the tower height, the blade diameter, the power generation power and the like, when the fan power curves are not greatly different and the height and the blade length are basically consistent, the fans can be classified into one type, and the fans of the same type only need to be calculated once.

For example, the wind turbine may be classified in the following manner:

(1) The fans are sorted according to the power, and from the maximum or minimum, the fans are initially classified into one class within a certain range, such as: the power difference is within 10 percent or 0.5MW, and the power difference is not within the same class;

(2) The above results can be further divided, and the height difference of the tower and the diameter difference of the blades are classified into one category within a certain range, such as: the height difference is within 10 m and the diameter of the blade is within 10 m, which are regarded as the same class, and the other classes can not be classified.

And S240, determining at least one initial arrangement scheme according to the initial point positions aiming at each fan type.

In this embodiment, after the initial point locations are determined, the fans corresponding to the point locations may be preliminarily determined to serve as an initial arrangement scheme.

Optionally, for each fan type, the manner of determining at least one initial arrangement scheme according to the initial point location may be: respectively acquiring the initial tower barrel height corresponding to each fan type; and carrying out economic optimization according to the initial tower barrel height and the initial point position, and determining the matching point position and the matching tower barrel height corresponding to each fan type.

Specifically, the initial arrangement scheme may be an arrangement scheme of a single fan type, at least one initial tower height is given to each fan type after classification, and due to the increase of towers, the construction cost is increased, and the initial arrangement scheme can be taken into consideration in an economic evaluation model. The economic evaluation model can actually be an economic evaluation function of each scheme, and the function can be expressed as: w = F (equipment cost, construction transportation cost, revenue of power generation). When economic optimization is performed, a global optimization algorithm can be used for performing combined optimization, such as a genetic algorithm, a simulated annealing algorithm, a particle swarm algorithm, an ant colony algorithm, and the like, the combined optimization means bringing in a plurality of input parameters, and the economic optimization is performed by using the economic evaluation model, wherein the input parameters can be: fan location, fan type, tower height, etc. The optimization output result in this step is the matching point location and the matching tower height corresponding to each model, i.e. the best matching point location and tower height are given for each model.

And S250, obtaining an optimization strategy of fan arrangement, screening the initial arrangement scheme, and obtaining an optimized arrangement scheme in the initial arrangement scheme.

The optimization strategy of fan arrangement can be determined according to user requirements, and the principles and conditions needing to be considered in fan arrangement include but are not limited to power generation amount, equivalent hours, electricity consumption cost, unit power generation investment and the like.

In this embodiment, the initial arrangement scheme is an arrangement scheme that only includes a single fan type, and preferably, each fan type corresponds to one initial arrangement scheme according to a fan classification result. For the initial arrangement schemes, preliminary screening can be carried out according to an optimization strategy, and one or more better schemes can be selected for further optimization.

Specifically, each initial arrangement scheme may be evaluated according to an optimization strategy to obtain respective corresponding evaluation values, and a higher evaluation value indicates that the corresponding scheme is better. And sequencing each initial arrangement scheme according to the evaluation values, and preferably selecting the fan types and the corresponding point positions corresponding to the first N schemes. The number and proportion of the screened solutions may be input by a user or parameters built in the system, for example, the screened solutions may be given in proportion, for example, the top 30% of the solutions are given as the optimizable arrangement solutions, or the number of the solutions may be fixed, for example, the top 5 of the solutions are given as the optimizable arrangement solutions (if the total number is 4, all the solutions are given).

And S260, optimizing the optimized arrangement scheme and determining at least one alternative optimization scheme.

In this embodiment, after determining the optimizable arrangement scheme, further optimization may be performed according to an optimization strategy, and at least one alternative optimization scheme is obtained according to different optimization manners in the optimization process.

Optionally, the optimizable arrangement scheme is optimized, and the manner of determining at least one alternative optimization scheme may be: acquiring the type of a fan and the height of a tower barrel corresponding to the optimized arrangement scheme; evaluating the power generation benefit of each fan in the optimized configuration scheme, and performing fan type replacement and tower height adjustment on the fan of which the power generation benefit is less than a set threshold value according to the evaluation result; and evaluating the power generation benefits of the adjusted fans, and carrying out point location adjustment on the fans with the power generation benefits smaller than a set threshold value according to the evaluation result, wherein each point location adjustment corresponds to one alternative optimization scheme.

Specifically, in the process of optimizing the configuration-optimized scheme, the principle of adjusting the wind turbine and then adjusting the point location may be followed, that is, the point location is kept unchanged, and the wind turbine is optimized for the selected scheme, where it needs to be described that the number of the optional heights of the towers corresponding to each wind turbine is known and is a known parameter. This process can be subdivided into the following two steps:

(1) And local single fan replacement.

For example, if the type of the fan corresponding to the currently optimized configuration scheme is a, for all the a types and the corresponding point locations, for the fan at the point location with poor power generation benefit, fan replacement may be performed, and the replacement fan comes from the fans in other optimized configuration schemes (it can be considered that the best fan comes from the N results), where the fan with poor power generation benefit may be the fan meeting a certain proportion of number or less than a specified equivalent hour. This process can be tried many times, and a heuristic algorithm is adopted, that is, the optimization result is tried along the better direction of the scheme, and the evaluation function of the optimization result is the above-mentioned optimization strategy.

(2) And (5) finely adjusting the height of the local tower barrel.

After fan point location and fan type are all fixed, to the not good fan of power generation benefit, if this fan has a plurality of tower section of thick bamboo height optional condition, then can carry out tower section of thick bamboo replacement. If 2 fan tower drum heights are selectable in correspondence of a certain fan type, the tower drum heights can be adjusted according to an evaluation strategy after the replacement of the fan at a certain point, evaluation values corresponding to all the heights are calculated, and a scheme with the high evaluation value is selected.

Furthermore, after the fan optimization is completed, point location fine adjustment can be performed according to each optimal point location arrangement scheme, the wind turbines with low power generation benefits are found out through simulation calculation, and then point position adjustment is carried out on each wind turbine needing to be adjusted.

In the step, the fans in the fan arrangement scheme capable of being optimized can be sequenced according to the power generation benefit (equivalent hours), for the fan with poor power generation benefit, the point position where the fan is located is adjusted in the vertical and horizontal directions according to the wind resource and the terrain condition, and finally the point position of the adjacent fan affected by the periphery of the fan is adjusted. The specific adjustment execution process can be divided into point location coarse adjustment and fine adjustment. In the point location rough adjustment, the point location of the adjacent affected fans can be adjusted according to the wind resource condition, the adjustment principle is that the point location with good wind resource is preferred, and if fans exist on the periphery, the distance between each fan is kept within the required range (can be specified by a user, and if the distance between adjacent fans is not allowed to be less than twice the height of the fan). The fine adjustment is based on the point location rough adjustment of the previous step, the wind direction and the wind frequency condition of the plot are combined, the wind direction with high wind frequency is considered preferentially, for example, the wind direction is divided into 16 directions, the wind direction of the first 60% is mainly considered according to the wind frequency condition, and the new point location of the fan adjusted under the wind direction of the first 60% is not influenced.

In the adjustment, each adjustment corresponds to one alternative optimization scheme, and at least one alternative optimization scheme can be obtained after the adjustment is completed.

And S270, evaluating the alternative optimization schemes according to the optimization strategy, and determining a target arrangement scheme in at least one alternative optimization scheme.

In this embodiment, the candidate optimization schemes may be evaluated according to the optimization strategy, a corresponding evaluation value may be obtained for each candidate optimization scheme, ranking is performed according to the evaluation values of the candidate optimization schemes, and the candidate optimization scheme with the highest evaluation value is determined as the target arrangement scheme.

And S280, determining the target arrangement scheme as a fan arrangement mode.

According to the embodiment of the invention, firstly, a point location grid is generated according to topographic data and wind resource data, the grid density of the point location grid is determined, then, corresponding initial point locations are generated according to the grid density and fan parameters, then, fans are classified according to the fan parameters, at least one fan type is determined, at least one initial arrangement scheme is determined according to the initial point location for each fan type, then, an optimization strategy for fan arrangement is obtained, the initial arrangement scheme is screened, an optimized arrangement scheme in the initial arrangement scheme is obtained, the optimized arrangement scheme is optimized, at least one alternative optimization scheme is determined, the alternative optimization scheme is evaluated according to the optimization strategy, a target arrangement scheme in the at least one alternative optimization scheme is determined, and finally, the target arrangement scheme is determined as the fan arrangement mode. The method for determining the fan arrangement mode provided by the embodiment of the invention provides an automatic fan arrangement method, and according to the topographic data, the wind resource data and the fan parameter information of project site selection, the optimal fan arrangement mode can be quickly and efficiently found out, the dependence on the experience of designers is reduced, and the design efficiency and the design quality are improved.

EXAMPLE III

Fig. 4 is a schematic structural diagram of a device for determining an arrangement manner of fans, according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: an initial point location generating module 310, an initial arrangement scheme determining module 320, a target arrangement scheme determining module 330, and a fan arrangement mode determining module 340.

And an initial point location generating module 310, configured to generate an initial point location of the fan arrangement according to the wind resource data, the fan parameter, and the topographic data.

An initial arrangement scheme determining module 320, configured to determine an initial arrangement scheme according to the initial point location.

And the target configuration scheme determining module 330 is configured to obtain an optimization strategy for fan configuration, optimize the initial configuration scheme according to the optimization strategy, and determine the target configuration scheme.

And a fan arrangement mode determining module 340, configured to determine the target arrangement scheme as a fan arrangement mode.

Optionally, the initial point location generating module 310 is further configured to:

generating a point location grid according to the topographic data and the wind resource data, and determining the grid density of the point location grid; and generating corresponding initial point positions according to the grid density and the fan parameters.

mapping the terrain data into an initial point location grid containing coordinates; and identifying candidate areas which can be used for fan arrangement in the topographic data, dividing the candidate areas according to the wind resource data, and generating at least one target grid area, wherein the target grid area comprises point location grids.

acquiring initial grid density of each target grid area; and adjusting the initial grid density according to the wind resource data, and determining the grid density of the point location grid.

Optionally, the initial arrangement scheme determining module 320 is further configured to:

classifying the fans according to fan parameters, and determining at least one fan type; and determining at least one initial arrangement scheme according to the initial point positions aiming at each fan type.

respectively acquiring the initial tower barrel height corresponding to each fan type; and carrying out economic optimization according to the initial tower barrel height and the initial point position, and determining the matching point position and the matching tower barrel height corresponding to each fan type.

Optionally, the target arrangement determining module 330 is further configured to:

screening the initial arrangement scheme to obtain an optimized arrangement scheme in the initial arrangement scheme; optimizing the optimized arrangement scheme and determining at least one alternative optimization scheme; and evaluating the alternative optimization schemes according to the optimization strategy, and determining a target arrangement scheme in at least one alternative optimization scheme.

acquiring the type of a fan and the height of a tower drum corresponding to the optimized configuration scheme; evaluating the power generation benefit of each fan in the optimized configuration scheme, and performing fan type replacement and tower height adjustment on the fan of which the power generation benefit is less than a set threshold value according to the evaluation result; and evaluating the power generation benefits of the adjusted fans, and carrying out point location adjustment on the fans with the power generation benefits smaller than a set threshold value according to the evaluation result, wherein each point location adjustment corresponds to one alternative optimization scheme.

The device for determining the fan arrangement mode provided by the embodiment of the invention can execute the method for determining the fan arrangement mode provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

FIG. 5 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 may also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the determination of fan arrangement.

In some embodiments, the method of determining the fan arrangement may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described determination of fan arrangement may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the determination of the fan arrangement by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining the arrangement mode of fans is characterized by comprising the following steps:

and determining the target arrangement scheme as the fan arrangement mode.

2. The method of claim 1, wherein generating an initial point of fan placement from the wind resource data, the fan parameters, and the terrain data comprises:

generating point location grids according to the topographic data and the wind resource data, and determining grid density of the point location grids;

3. The method of claim 2, wherein generating a point location grid from the terrain data and the wind resource data comprises:

4. The method of claim 3, wherein determining the lattice density of the point location lattice comprises:

acquiring initial grid density of each target grid region;

5. The method of claim 1, wherein determining an initial placement plan from the initial point locations comprises:

6. The method of claim 5, wherein determining at least one initial placement scheme from the initial point locations for each of the fan types comprises:

7. The method of claim 1, wherein optimizing the initial arrangement based on the optimization strategy and determining a target arrangement comprises:

8. The method according to claim 7, wherein optimizing the optimizable arrangement to determine at least one alternative optimization comprises:

9. The utility model provides a fan mode of arranging's confirming device which characterized in that includes:

10. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of determining a fan arrangement of any of claims 1-8.

11. A computer-readable storage medium, having stored thereon computer instructions for causing a processor to perform the method of determining a fan arrangement of any of claims 1-8 when executed.