Regularized layout method and system for offshore wind plant, storage medium and electronic equipment

Abstract

The invention provides a regularized layout method and system for an offshore wind plant, a storage medium and electronic equipment. The method comprises the following steps: acquiring basic data of the offshore wind plant and a wind turbine generator; establishing a wind speed distribution model based on the basic data; based on the wind speed distribution model and the wake flow model, establishing an offshore wind plant layout-generating capacity-wake flow relation model; based on the offshore wind power plant layout-generating capacity-wake flow relation model and a preset wake flow control target, performing initial optimization on the wind power plant layout to obtain an offshore wind power plant initial optimization layout; and performing regularization processing on the initial optimization layout of the offshore wind plant to obtain a regularized layout of the offshore wind plant. According to the method, in the micro site selection stage of the wind power plant, the wake flow of the fan can be controlled within a certain range, meanwhile, the regularity of the overall layout of the wind power plant is considered, safe operation of the fan and maximization of power generation benefits are achieved, and convenience is provided for follow-up design construction and management in the actual operation stage.

Description

Technical Field

[0001] The present invention belongs to the technical field of micro-site selection for wind farms, and in particular relates to a method, system, storage medium and electronic equipment for regularized layout of offshore wind farms. Background Art

[0002] The development and utilization of clean energy has received widespread attention worldwide. As an important clean energy, wind power has developed particularly rapidly. In particular, offshore wind power has become the main direction of wind power development due to its unique advantages, such as not occupying land resources and having little impact on the ecological environment.

[0003] In the construction and development of offshore wind farms, as the scale of wind farms expands and extends to deep sea, the wake problem caused by the cluster effect of wind turbines has become increasingly prominent. In order to solve this problem, researchers have proposed a variety of wind farm optimization layout models. These models mainly optimize the distribution of wind turbines in the field by establishing mathematical programming equations. These equations take into account the mathematical relationship between wind turbines, power generation and wake in the wind farm, and perform iterative calculations by inputting constraints and optimization goals to achieve the target power generation or wake control.

[0004] Although the existing wind farm optimization layout model can achieve wake control and power generation optimization to a certain extent, it still has the following shortcomings:

[0005] High randomness and irregularity: The wind turbine layout obtained based on the mathematical programming equation method is often highly random and irregular, which makes the wind farm layout in actual operation difficult to predict and control.

[0006] Difficulty in designing collection lines: The randomly distributed locations of wind turbines pose challenges to the design of collection lines, which may lead to increased line length and losses, thus affecting the overall efficiency and economic benefits of the wind farm.

[0007] Difficulties in wind farm management: The irregular layout of wind turbines brings new problems to the operation and management of offshore wind farms, such as reduced efficiency in sea space utilization and inconvenience in wind turbine installation and maintenance.

[0008] Therefore, how to provide a more reasonable and efficient wind farm optimization layout method to achieve sustainable development of wind farms has become a technical problem that urgently needs to be solved in this field. Summary of the invention

[0009] In view of the shortcomings of the prior art mentioned above, the purpose of the present invention is to provide a method, system, storage medium and electronic equipment for the regular layout of offshore wind farms, which can control the wind turbine wake within a certain range during the micro-site selection stage of the wind farm, while also considering the regularity of the overall layout of the wind farm, so as to facilitate the management of subsequent design, construction and actual operation stages while ensuring the safety of the wind turbines and the power generation efficiency.

[0010] In a first aspect, the present invention provides a method for regularizing the layout of an offshore wind farm, the method comprising the following steps:

[0011] Obtain basic data of offshore wind farms and wind turbines;

[0012] Establishing a wind speed distribution model based on the offshore wind farm basic data and the wind turbine basic data;

[0013] Establishing an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model;

[0014] Based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target, the wind farm layout is initially optimized to obtain an initial optimized layout of the offshore wind farm;

[0015] The initial optimized layout of the offshore wind farm is regularized to obtain a regularized layout of the offshore wind farm.

[0016] In an implementation of the first aspect, the initial optimized layout of the offshore wind farm is regularized, and after obtaining the regularized layout of the offshore wind farm, the following steps are further included:

[0017] Obtaining power generation and wake of the offshore wind farm after regular layout;

[0018] Inputting the power generation and wake after the regularized layout into the offshore wind farm layout-power generation-wake relationship model to determine whether the preset wake control target is met;

[0019] If not, the current regularized layout of the offshore wind farm is abandoned, and the initial optimized layout of the offshore wind farm is regularized again until the regularized layout of the offshore wind farm meets the preset wake control target.

[0020] In an implementation of the first aspect, the basic data of the offshore wind farm includes: geographical location of the offshore wind farm, terrain and roughness of the area surrounding the offshore wind farm, and meteorological data.

[0021] In an implementation of the first aspect, the basic data of the wind turbine generator set includes: wind turbine generator set location information, wind turbine generator set characteristic parameters, wind turbine generator set power curve, and wind turbine generator set thrust coefficient curve.

[0022] In an implementation of the first aspect, the initial optimization of the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm includes the following steps:

[0023] Setting the offshore wind farm constraint factors and wake control targets;

[0024] The offshore wind farm restriction factors and wake control targets are input into the offshore wind farm layout-power generation-wake relationship model, and a multi-objective mathematical programming optimization strategy is used to initially optimize the offshore wind farm layout.

[0025] In an implementation of the first aspect, the wake model adopts a Deep Array EV model.

[0026] In an implementation of the first aspect, regularizing the initial optimized layout of the offshore wind farm includes the following steps:

[0027] Obtaining characteristic parameters of the initial optimized layout of the offshore wind farm;

[0028] Uniformly arrange the offshore wind farm based on the initial optimized layout characteristic parameters to obtain a regularized layout of the offshore wind farm with a certain number of rows and columns;

[0029] The characteristic parameters of the initial optimized layout of the offshore wind farm include the number of boundary wind turbines, the main direction of wind turbine arrangement and the corresponding spacing range.

[0030] In a second aspect, the present invention provides a regularized layout system for an offshore wind farm, the system comprising a data acquisition module, a first establishment module, a second establishment module, an initial optimization module and a rule optimization module;

[0031] The data acquisition module is used to acquire basic data of offshore wind farms and basic data of wind turbines;

[0032] The first establishing module is used to establish a wind speed distribution model based on the basic data;

[0033] The second establishing module is used to establish an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model;

[0034] The initial optimization module is used to perform initial optimization on the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm;

[0035] The rule optimization module is used to perform rule processing on the initial optimized layout of the offshore wind farm to obtain a rule-based layout of the offshore wind farm.

[0036] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0037] The memory is used to store computer programs;

[0038] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned regular layout method of offshore wind farms.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-mentioned regularized layout method of offshore wind farms.

[0040] As described above, the method, system, storage medium and electronic device of the present invention have the following beneficial effects:

[0041] The regularized layout method, system, storage medium and electronic device of the offshore wind farm described in the present invention provide a systematic wake control method: by adopting the Deep Array EV wake model, the present invention can accurately simulate and predict the influence of the wind turbine wake in the wind farm, thereby reducing the wake loss and improving the power generation efficiency when optimizing the wind turbine layout.

[0042] The method, system, storage medium and electronic device for regular layout of offshore wind farms described in the present invention promote the improvement of the power generation of wind farms and have certain economic efficiency: a multi-objective mathematical programming optimization strategy is adopted, while considering wake control and power generation maximization, thereby ensuring the overall efficiency and safety of the wind farm; by optimizing the layout of wind turbines, the present invention can significantly improve the annual theoretical power generation of the wind farm, thereby improving the economic benefits of the entire wind farm; at the same time, the irregular optimized layout is converted into a regular layout, making the layout of the wind farm more standardized and easy to manage, which helps to reduce operating costs and improve management efficiency.

[0043] The offshore wind farm regular layout method, system, storage medium and electronic equipment described in the present invention can adapt to different types of wind turbines and different wind farm conditions and have wide applicability; by reducing the wake effect, the present invention helps to reduce the impact of wind farms on the surrounding environment and meets the requirements of sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart showing a method for regularizing the layout of an offshore wind farm according to an embodiment of the present invention;

[0045] Figure 2 It is a flowchart showing the steps of a regular layout method for an offshore wind farm in one embodiment of the present invention;

[0046] Figure 3a The wind frequency rose diagram of the regular layout method of an offshore wind farm of the present invention at the hub height of a 14MW wind turbine in the wind farm is shown;

[0047] Figure 3b The wind frequency rose diagram of the regular layout method of an offshore wind farm of the present invention at the hub height of a 14MW wind turbine in the wind farm is shown;

[0048] Figure 4 The diagram shows an initial optimized layout diagram of a regularized layout method for an offshore wind farm according to an embodiment of the present invention;

[0049] Figure 5 Shown is a regular optimized layout diagram of an offshore wind farm regular layout method in one embodiment of the present invention;

[0050] Figure 6 It is a schematic structural diagram of an offshore wind farm regular layout system according to an embodiment of the present invention;

[0051] Figure 7 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0052] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0053] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0054] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0055] like Figure 1 As shown, in one embodiment, the regularized layout method of an offshore wind farm of the present invention includes steps S11 to S16.

[0056] Step S11, obtaining basic data of offshore wind farms and basic data of wind turbines.

[0057] Specifically, the basic data of offshore wind farms include: geographical location of offshore wind farms, boundaries of the area surrounding offshore wind farms, terrain of the sea area of ​​the site and surrounding land areas, roughness grid data, basic meteorological data (wind speed and wind direction frequency table at the hub height of the wind farm or annual wind speed and wind direction time series, etc.). The basic data of wind turbines include: location information of wind turbines, characteristic parameters such as wind turbine rotor diameter and hub height, wind turbine power curve, and wind turbine thrust coefficient curve.

[0058] Step S12: establishing a wind speed distribution model based on the basic data of the offshore wind farm.

[0059] Specifically, based on the collected basic data, a suitable wind speed distribution model is selected, model parameters are set, and a linear model of wind speed distribution in the target site area is established.

[0060] The Mass-Consistent linear mathematical model in the Openwind software is used to simulate the wind speed distribution of the entire wind farm. This model follows the mass conservation equation, but does not consider the Stokes equation, so it is suitable for wind farms on land with simple terrain and offshore wind farms. The power generation calculation formula used by Openwind is:

[0061]

[0062] Where E is the power generation of the wind turbine, n is the number of wind turbines, θ is the wind direction, P(θ) is the wind frequency in the θ direction, β i (v) is the power curve of the wind turbine, which is provided by the manufacturer and depends on the performance of the wind turbine itself; p(v(θ),c i (θ,X,Y),k(θ)) is in the θ direction, the wind speed is v(θ), and the proportional parameter is c i (θ,X,Y), the probability that the morphological parameters are k(θ).

[0063] Through the above steps, a wind speed distribution model can be established based on the basic data of the offshore wind farm, the wind speed distribution of the wind farm can be simulated, the impact of different wind turbine layouts on power generation can be evaluated, and a basis can be provided for the optimal design of the wind farm.

[0064] Step S13: establishing an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model, wherein the wake model adopts a Deep Array EV model.

[0065] The Deep Array EV model is an advanced wake simulation model for predicting and analyzing the effects of wind turbine wakes in large wind farms. The model plays an important role in wind farm design and optimization because it helps engineers understand the impact of wind turbine wakes on the overall performance of the wind farm and optimize the layout of wind turbines to reduce wake losses and improve the power generation efficiency of the entire wind farm. The Deep Array EV model is able to simulate the velocity loss, diffusion and interaction of wind turbine wakes in detail, which is particularly important for large wind farms because the wakes between wind turbines may affect each other. The model considers the wake stacking effect in the wind turbine array, that is, the wakes of multiple wind turbines may overlap in space, resulting in more complex wake patterns. The model can simulate the process of the wake gradually recovering to the unaffected wind speed after a certain distance, and handle the changes in wind speed and direction, which is crucial for determining the optimal distance between wind turbines and simulating actual wind farm conditions. The model is able to perform simulations at different spatial scales, from a single wind turbine to the scale of an entire wind farm. The Deep Array EV model is suitable for large offshore wind farms, where the wake effect is usually more significant than onshore wind farms and the terrain is relatively flat. Because the wake model takes into account the impact of wind turbines on wake attenuation in large wind farms, the calculation results are closer to the actual wake level of the simpler NOJensen model.

[0066] Specifically, in combination with step S12, the location information, power curve and thrust coefficient curve of the wind turbines to be used in the wind farm are input into the wind speed distribution model to determine the relationship between the wind farm layout and the wind farm power generation; then, based on the selected DeepArray EV wake model, the relationship between the wind farm layout, power generation and wake is determined, and a relationship model of the offshore wind farm layout, power generation and wake is established.

[0067] Step S14: Based on the offshore wind farm layout-power generation-wake relationship model and a preset wake control target, the wind farm layout is initially optimized to obtain an initial optimized offshore wind farm layout.

[0068] Specifically, the initial optimization of the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm includes the following steps:

[0069] Setting the offshore wind farm constraint factors and wake control targets;

[0070] The offshore wind farm restriction factors and wake control targets are input into the offshore wind farm layout-power generation-wake relationship model, and a multi-objective mathematical programming optimization strategy is used to initially optimize the offshore wind farm layout.

[0071] Among them, the multi-objective mathematical programming optimization strategy adopts Openwind's multi-objective mathematical programming optimization strategy, and searches for the global optimal wake layout through iterative calculation until the optimization difference between the new layout and the current layout is less than the set minimum deviation, or the number of iterations reaches the maximum value and stops.

[0072] Specifically, the process of initial optimization layout of an offshore wind farm in one embodiment is as follows:

[0073] S141, set limiting factors and wake control targets;

[0074] During the optimization process, a series of constraints need to be considered, such as the geographical scope of the wind farm, capacity, wind turbine model and parameters, terrain and roughness, economic cost, etc. The wake control target is a key parameter of the optimization model, which determines the design target of the wind farm layout, such as the wake of the whole field is less than 12%.

[0075] S142, input the model and adopt a multi-objective mathematical programming optimization strategy;

[0076] The set constraints and wake control targets are input into the layout-power generation-wake relationship model. A multi-objective mathematical programming optimization strategy is adopted, which is an optimization method that can consider multiple objective functions at the same time. It can find the optimal or near-optimal solution while satisfying all constraints.

[0077] S143, using Openwind's multi-objective mathematical programming optimization strategy;

[0078] Openwind is a wind farm design and optimization software that provides a multi-objective mathematical programming optimization strategy that allows users to simultaneously consider multiple objectives such as maximizing power generation and minimizing wake in wind farm layout. Through iterative calculations, the strategy can find the global optimal wake layout, that is, the layout that maximizes power generation and minimizes wake while meeting all constraints.

[0079] S144, iterative calculation and stop condition;

[0080] The optimization process is performed through iterative calculations, and each iteration generates a new layout solution. The iterative process continues until the optimization difference between the new layout and the current layout is less than the set minimum deviation, or the preset upper limit of the number of iterations is reached.

[0081] S145, obtaining an initial optimized layout;

[0082] Through the above process, an initial optimized layout of an offshore wind farm that meets the preset wake control target can be obtained. This layout is obtained by considering all constraints and optimization targets, aiming to maximize power generation efficiency while controlling the wake effect.

[0083] Step S14 sets the limiting factors and wake control objectives and uses a multi-objective mathematical programming optimization strategy to find an initial optimized layout solution with the support of Openwind software. This solution can maximize the power generation efficiency while meeting the wake control requirements.

[0084] Step S15: performing regularization processing on the initial optimized layout of the offshore wind farm to obtain a regularized layout of the offshore wind farm.

[0085] Regularizing the initial optimized layout of the offshore wind farm includes the following steps:

[0086] Obtaining characteristic parameters of the initial optimized layout of the offshore wind farm;

[0087] Uniformly arranging characteristic parameters of the initial optimized layout of the offshore wind farm to obtain a regularized layout of the offshore wind farm with a certain number of rows and columns;

[0088] The characteristic parameters of the initial optimized layout of the offshore wind farm include the number of boundary wind turbines, the main direction of wind turbine arrangement and the corresponding spacing range.

[0089] Specifically, the characteristic parameters of the initial optimized layout of the offshore wind farm are read, including the number of boundary wind turbines, the main direction of wind turbine arrangement, and the wind turbine spacing range corresponding to the main direction; based on the above characteristics, a regular layout is performed to form a regular optimized layout with a certain number of rows and columns.

[0090] Furthermore, after the initial optimized layout of the wind farm in the drawing is regularized and the regularized layout of the offshore wind farm is obtained, the following steps are also included:

[0091] Obtaining power generation and wake of the offshore wind farm after regular layout;

[0092] Inputting the power generation and wake after the regularized layout into the offshore wind farm layout-power generation-wake relationship model to determine whether the preset wake control target is met;

[0093] If not, the regularized layout of the offshore wind farm is abandoned, and the initial optimized layout of the offshore wind farm is regularized again until the regularized layout of the offshore wind farm meets the preset wake control target.

[0094] Specifically, the power generation and wake after the optimized layout after calculation rules are determined, and whether they meet the standards is determined based on the standards of step S14; if the inspection fails to meet the standards, return to step S15 to re-regularize until the wake control requirements are met; after meeting the standards, the final layout plan is output and visualized, and the power generation and wake of the entire field and each machine site are output at the same time to achieve the regular optimized layout of the wind farm. Among them, the regularized layout is adopted, and the other models and parameter settings are consistent with those during the optimization calculation, and the conditions for judging whether the wake meets the standards are consistent with the optimization equation constraints in step S14.

[0095] In one embodiment, according to the irregular layout obtained by optimization, characteristic parameters such as the number of boundary wind turbines, the main arrangement direction of wind turbines, and the spacing range in each main direction are extracted. Based on these characteristic parameters, the initial optimized layout is regularized to form a regular optimized layout with a certain number of rows and columns. The regularized layout evenly arranges wind turbines in the vertical N and S directions, and the row spacing increases from the boundary to the field to achieve uniform layout. With the regularized layout, the remaining models and parameter settings are consistent with those during the optimization calculation to ensure the accuracy and consistency of the calculation. The power generation and wake of the regularized layout are calculated using Openwind software to evaluate whether it meets the wake control requirements. The conditions for judging whether the wake meets the standard are consistent with the optimization equation constraints in step S14 to ensure that the constraints of the optimization equation are met. If the wake does not meet the standard, that is, the wake level is higher than the set threshold (for example, the wake of the entire field is less than 12%), it is necessary to return to step S15 to re-regularize the layout. If the wake does not meet the standard, repeat steps S15 and S16 until a regularized layout that meets the wake control requirements is found. This iterative process may be repeated multiple times until the optimal regularized layout is found to ensure that the wake level is lower than the preset control target. When the wake meets the standard, the final layout plan is output and visualized for easy understanding by designers and operators. At the same time, the power generation and wake distribution are exported to provide data support for the management and operation of the wind farm. Through the above steps, the regular optimized layout of the wind farm is achieved, that is, the power generation efficiency is maximized while meeting the wake control requirements.

[0096] In summary, the calculation of power generation and wake after regularized layout is a key step to ensure that the wind farm layout optimization meets the wake control requirements. Through iterative optimization and regularized processing, a regularized layout scheme that is both efficient and meets the actual operation requirements is finally obtained.

[0097] In one embodiment, if Figure 2 As shown, Figure 2 The flowchart of the steps in the regular layout method of an offshore wind farm according to the present invention in one embodiment is shown as follows:

[0098] S21. Input data: Collect basic data such as the geographical coordinates of the wind farm, regional terrain and roughness grid data, wind turbine rotor diameter, hub height, power curve, and thrust coefficient curve. Collect meteorological data such as wind speed and wind direction frequency tables or annual wind speed and wind direction time series in the sea area where the wind farm is located.

[0099] S22. Establish a wind speed distribution model: Use the Mass-Consistent linear mathematical model in the Openwind software to establish a linear model of wind speed distribution in the target site area based on the collected terrain and roughness data.

[0100] S23. Determine the relationship between wind farm layout, wake and power generation: input the location information, power curve and thrust coefficient curve of the wind turbine, combine the wind speed distribution model with the Deep Array EV wake model, and determine the relationship between wind farm layout, power generation and wake.

[0101] S24. Set wind farm constraints and wake control targets.

[0102] S25, initial optimization layout: Based on the wind farm layout-power generation-wake model, taking into account the wind farm scope, capacity and other limiting factors, the multi-objective mathematical programming optimization strategy of Openwind is used to optimize the layout of wind turbines in the entire field. Through iterative calculation, the optimal layout of the global wake is found until the wake control is optimal, and the optimized random layout scheme is obtained.

[0103] S26, regularized layout: extract characteristic parameters such as the number of boundary fans, the main arrangement direction of fans, and the spacing range in each main direction from the obtained irregular initial optimized layout. Regularize the initial optimized layout based on the optimized characteristic parameters to form a regular optimized layout with a certain number of rows and columns.

[0104] S27. Determine whether the wake of the regularized layout meets the standard: perform power generation and wake calculations on the regularized layout, and determine whether it meets the standard according to the same wake control standard as the initial optimized layout.

[0105] If the inspection meets the standards, the final layout plan is output and visualized, and the power generation and wake of the entire field and each machine site are output at the same time to achieve the regular optimization layout of the wind farm. If the inspection does not meet the standards, return to step S26 and re-regularize until the wake control requirements are met.

[0106] In one embodiment, if Figure 3a to Figure 3b As shown, 14MW and 16MW models were selected for phased construction, and wind speed distribution models for the first and second phase sites were established respectively.

[0107] Data preparation: Collect the boundary of the wind farm area, terrain, roughness and wind speed frequency distribution data of the site sea area and surrounding land area, as well as the power curve and thrust coefficient curve of the proposed 14MW and 16MW wind turbines, the impeller diameter and recommended hub height, and the wind speed and direction frequency distribution corresponding to different hub heights.

[0108] Establish a wind speed distribution model: Input the sea area, terrain and roughness data of the wind farm, and establish a linear model of wind speed distribution in the target site area. Since the 14MW and 16MW models are built in phases and arranged in zones, wind speed distribution models for the first and second phase sites are established respectively.

[0109] Determine the relationship between wind farm layout and power generation: Input the location information, power curve and thrust coefficient curve of the wind turbine, combine the wind speed distribution model with the Deep Array EV wake model, and determine the relationship between wind farm layout, power generation and wake.

[0110] Initial optimization layout: Based on the wind farm layout-power generation-wake model, taking into account the wind farm scope, capacity and other limiting factors, the multi-objective mathematical programming optimization strategy of Openwind is used to optimize the layout of wind turbines in the entire field. The boundaries of the first and second phases of the wind farm, the number of wind turbines (143 and 125), and the wake control target (full field <12%) are set. The optimal layout of the global wake is found through iterative calculation to obtain the initial optimization layout, such as Figure 4 shown.

[0111] Regularized layout: For the optimized irregular layout, extract characteristic parameters such as the number of boundary wind turbines, the main arrangement direction of wind turbines, and the spacing range in each main direction. Regularize the initial optimized layout based on the optimized characteristic parameters, and evenly arrange 13 rows of wind turbines in the vertical N and S directions. The row spacing is 1750-2440m, increasing from the north and south boundaries to the field. The number of boundary wind turbines remains unchanged. Considering the uniform arrangement, the regularly optimized wind turbine positions are obtained, such as Figure 5 shown.

[0112] Calculate and verify the regularized layout: The power generation and wake of the optimized layout after using the Openwind calculation rules, the average wake of 143 14MW wind turbines and 125 16MW wind turbines is 11.86%, which meets the wake control requirements. At the same time, compared with the initial irregular optimization layout results with the best power generation and wake, the increase in wake is 0.06%, which has little effect on the overall power generation and safety of the wind farm, so the regularized layout results are accepted. Output the layout wind turbine position coordinates and visualize them, and derive the power generation and wake distribution at the same time, and obtain the final vertical N and S directions, with 13 rows of exhaust fans arranged with variable spacing. Regular optimization layout of the wind farm.

[0113] According to the method proposed in the present invention, the control of the wake cluster effect of a large offshore wind farm is first taken as the calculation target, and the initial optimized layout of the wind farm is formed based on the optimization layout module of Openwind. On this basis, the optimization characteristic parameters are extracted and the layout is regularized; and further verification is conducted to see whether the wake meets the standards. Finally, the regular optimized layout of the wind farm is output to achieve the coordination of the safety, efficiency and management convenience of the wind farm.

[0114] The protection scope of the regular layout method of offshore wind farms described in the embodiment of the present invention is not limited to the execution order of the steps listed in this embodiment. All solutions implemented by adding, reducing or replacing steps in the prior art based on the principles of the present invention are included in the protection scope of the present invention.

[0115] An embodiment of the present invention further provides a regular layout system for an offshore wind farm, which can implement the regular layout method for an offshore wind farm described in the present invention. However, the implementation device of the regular layout system for an offshore wind farm described in the present invention includes but is not limited to the structure of the regular layout system for an offshore wind farm listed in this embodiment. All structural deformations and replacements of the prior art made according to the principles of the present invention are included in the protection scope of the present invention.

[0116] like Figure 6 As shown, in one embodiment, the offshore wind farm regular layout system of the present invention includes a data acquisition module 61 , a first establishment module 62 , a second establishment module 63 , an initial optimization module 64 and a rule optimization module 65 .

[0117] The data acquisition module 61 is used to acquire basic data of offshore wind farms and basic data of wind turbines;

[0118] The first establishing module 62 is connected to the data acquiring module 61 and is used to establish a wind speed distribution model based on the basic data;

[0119] The second establishing module 63 is connected to the first establishing module 62, and is used to establish an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model;

[0120] The initial optimization module 64 is connected to the second establishment module 63, and is used to perform initial optimization on the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm;

[0121] The rule optimization module 65 is connected to the initial optimization module 64 and is used to perform rule processing on the initial optimized layout of the offshore wind farm to obtain a rule-based layout of the offshore wind farm.

[0122] In the several embodiments provided by the present invention, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0123] The modules / units described as separate components may or may not be physically separated, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0124] Those of ordinary skill in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0125] The embodiment of the present invention also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state disk (SSD)), etc.

[0126] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0127] The memory is used to store computer programs.

[0128] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0129] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the above-mentioned regularized layout method of offshore wind farms.

[0130] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0131] like Figure 7As shown, the electronic device of the present invention is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors or processing units 71, a memory 72, and a bus 73 connecting different system components (including the memory 72 and the processing unit 71).

[0132] Bus 53 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0133] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0134] The memory 72 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 721 and / or cache memory 722. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 723 may be used to read and write non-removable, non-volatile magnetic media ( Figure 7 not shown, usually called a "hard drive"). Although Figure 7 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 73 via one or more data medium interfaces. The memory 72 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0135] A program / utility 724 having a set (at least one) of program modules 7241 may be stored, for example, in the memory 72, such program modules 7241 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 7241 generally perform the functions and / or methods of the embodiments described herein.

[0136] The electronic device may also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via input / output (I / O) interface 74. Furthermore, the electronic device may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 55. Figure 7 As shown, the network adapter 75 communicates with other modules of the electronic device via the bus 73. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0137] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for regularizing the layout of an offshore wind farm, characterized in that: The method comprises the following steps: Obtain basic data of offshore wind farms and wind turbines; Establishing a wind speed distribution model based on the basic data of the offshore wind farm and the basic data of the wind turbine generator set; Establishing an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model; Based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target, the wind farm layout is initially optimized to obtain an initial optimized layout of the offshore wind farm; The initial optimized layout of the offshore wind farm is regularized to obtain a regularized layout of the offshore wind farm.

2. The method for regularizing the layout of an offshore wind farm according to claim 1, characterized in that: The initial optimized layout of the offshore wind farm is subjected to regularization processing, and after obtaining the regularized layout of the offshore wind farm, the following steps are also included: Obtaining power generation and wake of the offshore wind farm after regular layout; Inputting the power generation and wake after the regularized layout into the offshore wind farm layout-power generation-wake relationship model to determine whether the preset wake control target is met; If not, the current regularized layout of the offshore wind farm is abandoned, and the initial optimized layout of the offshore wind farm is regularized again until the regularized layout of the offshore wind farm meets the preset wake control target.

3. The regularized layout method of an offshore wind farm according to claim 1, characterized in that: The basic data of the offshore wind farm include: the geographical location of the offshore wind farm, the terrain and roughness of the area surrounding the offshore wind farm, and meteorological data.

4. The method for regularized layout of offshore wind farms according to claim 1, characterized in that: The basic data of the wind turbine generator set includes: wind turbine generator set location information, wind turbine generator set characteristic parameters, wind turbine generator set power curve, and wind turbine generator set thrust coefficient curve.

5. The method for regularized layout of offshore wind farms according to claim 1, characterized in that: The initial optimization of the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm includes the following steps: Setting the offshore wind farm constraint factors and wake control targets; The offshore wind farm restriction factors and wake control targets are input into the offshore wind farm layout-power generation-wake relationship model, and a multi-objective mathematical programming optimization strategy is used to initially optimize the offshore wind farm layout.

6. The method for regularized layout of offshore wind farms according to claim 1, characterized in that: The wake model adopts the Deep Array EV model.

7. The method for regularized layout of offshore wind farms according to claim 1, characterized in that: Regularizing the initial optimized layout of the offshore wind farm includes the following steps: Obtaining characteristic parameters of the initial optimized layout of the offshore wind farm; Uniformly arrange the offshore wind farm based on the initial optimized layout characteristic parameters to obtain a regularized layout of the offshore wind farm with a certain number of rows and columns; The characteristic parameters of the initial optimized layout of the offshore wind farm include the number of boundary wind turbines, the main arrangement direction of the wind turbines and the corresponding spacing range.

8. A regularized layout system for offshore wind farms, characterized in that: The system includes a data acquisition module, a first establishment module, a second establishment module, an initial optimization module and a rule optimization module; The data acquisition module is used to acquire basic data of offshore wind farms and basic data of wind turbines; The first establishing module is used to establish a wind speed distribution model based on the basic data; The second establishing module is used to establish an offshore wind farm layout-power generation-wake relationship model based on the wind speed distribution model and the wake model; The initial optimization module is used to perform initial optimization on the wind farm layout based on the offshore wind farm layout-power generation-wake relationship model and the preset wake control target to obtain the initial optimized layout of the offshore wind farm; The rule optimization module is used to perform rule processing on the initial optimized layout of the offshore wind farm to obtain a rule-based layout of the offshore wind farm.

9. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory, so that the electronic device executes the regularized layout method for offshore wind farms according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by an electronic device, the regularized layout method for offshore wind farms according to any one of claims 1 to 7 is implemented.

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