Wind and light scene design method, storage medium and computer device

Abstract

This disclosure provides a method, storage medium, and computer equipment for wind and solar co-location design. The method includes: acquiring target site information, design information, and evaluation variables; determining multiple candidate wind turbine locations based on the target site information and design information, wherein the number of candidate wind turbine locations is greater than the number of designed wind turbines; repeatedly executing the following steps to obtain multiple candidate wind and solar co-location schemes and their evaluation variable values: selecting locations from the multiple candidate wind turbine locations corresponding to the number of designed wind turbines; based on the selected locations, determining candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes according to the target site information and design information, obtaining candidate wind and solar co-location schemes and their evaluation variable values; and determining the wind and solar co-location design scheme whose corresponding evaluation variable values ​​satisfy preset evaluation conditions. This method can integrate wind and solar design, enabling efficient use of land and resources.

Description

Technical Field

[0001] This disclosure relates to the field of renewable energy technology, and more specifically, to a method for designing wind and solar power in the same location, a storage medium, and a computer device. Background Technology

[0002] The research on integrated planning and design platforms for wind and solar power plants stems primarily from the increasing emphasis on and promotion of renewable energy. With the growing global demand for renewable energy and the environmental challenges posed by climate change, wind and solar power, as representatives of clean energy, are finding increasingly wider applications in the energy sector. To better leverage the complementary advantages of wind and solar power, improve energy efficiency, and reduce the construction and operation costs of new energy projects, it is necessary to integrate wind and solar power planning and design. The research on integrated planning and design platforms focuses on integrating wind and solar power generation. By comprehensively considering factors such as geography, meteorology, and the power grid, it optimizes key aspects such as power plant layout, equipment configuration, and dispatch control to achieve coordinated wind and solar power generation and improve the efficiency of clean energy utilization. Simultaneously, this platform research also contributes to promoting the development of smart energy systems and enhancing the stability and reliability of new energy grid connection and power supply.

[0003] Current technologies related to wind and solar co-location include wind-solar resource assessment, system capacity configuration, shading avoidance, power output prediction, and offshore floating platforms for wind and solar co-location, among others. A number of demonstration projects have also emerged. However, in these demonstration projects, the wind farm and solar power station are typically designed separately during the design and planning phase, lacking an integrated planning and design platform. In terms of project design, key equipment, and core technologies, there are no significant differences from conventional wind farms and solar power stations. They are essentially simple superpositions of wind farms and solar power stations, failing to achieve integrated wind and solar design. There is still room for improvement in terms of economic efficiency and land use efficiency. Summary of the Invention

[0004] Therefore, how to integrate wind and solar power into a unified design is crucial for improving the economic efficiency and land use efficiency of wind and solar power projects.

[0005] In one general aspect, a method for designing wind and solar co-location is provided. This method includes: acquiring target site information, design information, and evaluation variables. The design information includes design requirements, available wind turbine information, and available photovoltaic module information. The design requirements indicate the requirements that the designed wind and solar co-location must meet. The available wind turbine information includes the number of designed wind turbines. The evaluation variables are variables used to evaluate the design schemes. Based on the target site information and the design information, multiple candidate wind turbine locations are determined, wherein the number of candidate wind turbine locations is greater than or equal to the number of designed wind turbines. The following steps are executed multiple times to obtain multiple candidate wind and solar co-location schemes and their evaluation variable values: selecting locations from the multiple candidate wind turbine locations corresponding to the number of designed wind turbines; based on the selected locations, and according to the target site information and the design information, determining candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes, obtaining candidate wind and solar co-location schemes and their evaluation variable values; and determining the wind and solar co-location design scheme whose evaluation variable value among the multiple candidate wind and solar co-location schemes meets preset evaluation conditions.

[0006] Optionally, selecting the number of wind turbines to be designed from the plurality of candidate wind turbine locations includes: during the first selection, selecting the number of wind turbines to be designed from the plurality of candidate wind turbine locations, and recording the unselected candidate wind turbine locations as alternative wind turbine locations; during subsequent selections, removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes, and adding a corresponding number of alternative wind turbine locations.

[0007] Optionally, the step of removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes and adding a corresponding number of alternative wind turbine locations when not selecting for the first time includes: when not selecting for the first time and the number of remaining alternative wind turbine locations is greater than 0, removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes and adding a corresponding number of alternative wind turbine locations; when not selecting for the first time and the number of remaining alternative wind turbine locations is equal to 0, the steps of selecting locations and determining candidate wind-solar co-location schemes and their evaluation variable values ​​are no longer performed.

[0008] Optionally, each wind turbine layout candidate scheme has light and shadow distribution information and the estimated power generation of each candidate wind turbine location. The light and shadow distribution information indicates the degree of light and shadow influence on different areas within the target site. The step of removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained wind turbine layout candidate scheme includes: for the previously obtained wind turbine layout candidate scheme, arranging each candidate wind turbine location in descending order of estimated power generation, and removing the candidate wind turbine location with the greatest light and shadow influence from the lower-ranked candidate wind turbine locations based on the light and shadow distribution information.

[0009] Optionally, the step of determining candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes based on selected locations, target site information, and design information, to obtain candidate wind-solar co-location schemes and their evaluation variable values, includes: arranging wind turbines based on selected locations, target site information, and design information to obtain candidate wind turbine layout schemes; determining light and shadow distribution information of the target site based on the obtained candidate wind turbine layout schemes, wherein the light and shadow distribution information represents the degree of light and shadow influence on different areas within the target site; arranging photovoltaic modules based on the light and shadow distribution information, target site information, and design information to obtain photovoltaic module layout schemes; and using the obtained candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes together as candidate wind-solar co-location schemes, and determining the evaluation variable values.

[0010] Optionally, determining the light and shadow distribution information of the target site based on the obtained wind turbine layout candidate scheme includes: calculating the light and shadow distribution map of the target site at different times according to the wind turbine structural parameters at different locations under the obtained wind turbine layout candidate scheme and the target site information; and performing fusion processing on the light and shadow distribution maps at different times to obtain the light and shadow distribution information.

[0011] Optionally, the step of arranging photovoltaic modules according to the light and shadow distribution information, the target site information, and the design information to obtain a photovoltaic module arrangement scheme includes: performing region elimination processing on the target site based on the light and shadow distribution information to eliminate regions in the target site whose degree of light and shadow influence exceeds the influence threshold, thereby obtaining candidate regions; and arranging photovoltaic modules within the candidate regions according to the light and shadow distribution information, the target site information, and the design information to obtain a photovoltaic module arrangement scheme.

[0012] Optionally, the number of candidate wind turbine locations is a preset multiple of the designed number of wind turbines, wherein the preset multiple is greater than or equal to 1.

[0013] Optionally, the evaluation variables include at least one of the following: power generation, yield, and equipment damage risk indicators.

[0014] In another general aspect, a wind-solar co-location design device is provided, comprising: an acquisition unit configured to acquire target site information, design information, and evaluation variables, wherein the design information includes design requirements information, available wind turbine information, and available photovoltaic module information, the design requirements information indicating the requirements that the designed wind-solar co-location must meet, the available wind turbine information including the number of designed wind turbines, and the evaluation variables being variables used to evaluate the design scheme; and a first determination unit configured to determine multiple candidate wind turbine locations based on the target site information and the design information, wherein the candidate wind turbine locations... The number of locations is greater than or equal to the designed number of wind turbines; the execution unit is configured to execute the following steps multiple times to obtain multiple candidate wind and solar co-location schemes and their evaluation variable values: selecting locations from the multiple candidate wind turbine locations corresponding to the designed number of wind turbines; based on the selected locations, determining the wind turbine layout candidate scheme and the corresponding photovoltaic module layout scheme according to the target site information and the design information, and obtaining the wind and solar co-location candidate schemes and their evaluation variable values; the second determination unit is configured to determine the wind and solar co-location design scheme as the one whose evaluation variable value among the multiple wind and solar co-location candidate schemes satisfies the preset evaluation conditions.

[0015] Optionally, the execution unit is further configured to: during the first selection, select the number of wind turbine locations to be designed from the plurality of candidate wind turbine locations, and record the unselected candidate wind turbine locations as alternative wind turbine locations; during subsequent selections, remove candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes, and add a corresponding number of alternative wind turbine locations.

[0016] Optionally, the execution unit is further configured to: when it is not the first selection and the number of remaining candidate wind turbine locations is greater than 0, remove candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes, and add a corresponding number of candidate wind turbine locations; when it is not the first selection and the number of remaining candidate wind turbine locations is equal to 0, no longer execute the steps of selecting locations and determining the candidate schemes for wind and solar co-location and the values ​​of their evaluation variables.

[0017] Optionally, each wind turbine layout candidate scheme obtained has light and shadow distribution information and the estimated power generation of each candidate wind turbine location. The light and shadow distribution information indicates the degree of light and shadow influence on different areas within the target site. The execution unit is also configured to: for the previously obtained wind turbine layout candidate scheme, arrange each candidate wind turbine location in descending order of estimated power generation, and based on the light and shadow distribution information, remove the candidate wind turbine location with the greatest light and shadow influence from the lower-ranked candidate wind turbine locations.

[0018] Optionally, the execution unit is further configured to: based on the selected locations, and according to the target site information and the design information, perform wind turbine layout to obtain candidate wind turbine layout schemes; based on the obtained candidate wind turbine layout schemes, determine the light and shadow distribution information of the target site, wherein the light and shadow distribution information represents the degree of light and shadow influence on different areas within the target site; based on the light and shadow distribution information, the target site information, and the design information, perform photovoltaic module layout to obtain a photovoltaic module layout scheme; and use the obtained candidate wind turbine layout schemes and the corresponding photovoltaic module layout schemes together as candidate wind-solar co-location schemes, and determine the values ​​of evaluation variables.

[0019] Optionally, the execution unit is further configured to: calculate the light and shadow distribution map of the target site at different times based on the wind turbine structural parameters of different locations under the obtained wind turbine layout candidate scheme and the target site information; and perform fusion processing on the light and shadow distribution maps at different times to obtain the light and shadow distribution information.

[0020] Optionally, the execution unit is further configured to: perform region elimination processing on the target site based on the light and shadow distribution information, so as to eliminate the areas in the target site whose degree of light and shadow influence exceeds the influence threshold, and obtain candidate areas; and arrange photovoltaic modules in the candidate areas according to the light and shadow distribution information, the target site information and the design information, to obtain a photovoltaic module arrangement scheme.

[0021] Optionally, the number of candidate wind turbine locations is a preset multiple of the designed number of wind turbines, wherein the preset multiple is greater than or equal to 1.

[0022] Optionally, the evaluation variables include at least one of the following: power generation, yield, and equipment damage risk indicators.

[0023] In another general aspect, a computer-readable storage medium is provided, wherein when instructions in the computer-readable storage medium are executed by at least one processor, the at least one processor causes the at least one processor to perform the landscape design method described above.

[0024] In another general aspect, a computer device is provided, comprising: at least one processor; at least one memory storing computer-executable instructions, wherein, when executed by the at least one processor, the computer-executable instructions cause the at least one processor to perform the landscape design method as described above.

[0025] In another general aspect, a computer program product is provided, comprising computer instructions that, when executed by at least one processor, cause the at least one processor to perform the landscape design method described above.

[0026] This disclosure provides a wind and solar co-location design method, storage medium, and computer equipment. By comprehensively considering the design of wind farms and photovoltaic power plants during the design process, multiple wind and solar co-location candidate schemes are obtained, which can be integrated to achieve wind and solar integrated design. Then, based on evaluation variables, these candidate schemes are screened to optimize the performance of the final wind and solar co-location design scheme and improve the utilization rate of land and resources.

[0027] Meanwhile, in order to achieve integrated wind and solar design, the number of candidate wind turbine locations should be greater than or equal to the number of designed wind turbines. When the number of candidate locations is equal to the number of designed wind turbines, it can just meet the design requirements and reduce the amount of calculation. When the number of candidate locations is greater than the number of designed wind turbines, a margin can be left for the number of locations, which allows for some selection space for the wind turbine layout. This helps to find a wind and solar co-location design scheme with better overall performance while increasing the amount of calculation.

[0028] Furthermore, in determining multiple candidate schemes for simultaneous wind and solar power, considering the numerous constraints on wind turbine location selection, prioritizing the determination of wind turbine locations, followed by the identification of candidate wind turbine layout schemes, and then designing the layout of photovoltaic modules based on these specific wind turbine layout candidate schemes, enhances the flexibility of wind turbine layout and location selection compared to the previous approach of first determining candidate photovoltaic module layout schemes. This approach is more conducive to finding the optimal design scheme and achieving efficient utilization of land and resources.

[0029] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0030] Figure 1 This is a flowchart illustrating a method for designing a landscape scene in conjunction with an embodiment of the present disclosure;

[0031] Figure 2 This is a schematic diagram illustrating the logical framework of a landscape and scenery co-location design method according to a specific embodiment of the present disclosure;

[0032] Figure 3 This is a block diagram illustrating a landscape and scenery design device according to an embodiment of the present disclosure;

[0033] Figure 4 This is a block diagram illustrating a computer device according to an embodiment of the present disclosure. Detailed Implementation

[0034] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be changed as will become clear upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and conciseness, descriptions of features known in the art may be omitted.

[0035] The features described herein may be implemented in different forms and should not be construed as limited to the examples described herein. Rather, the examples described herein are provided only to illustrate some of the many feasible ways of implementing the methods, apparatus, and / or systems described herein, which will become clear upon understanding the disclosure of this application.

[0036] As used herein, the term “and / or” includes any one of the associated listed items and any combination of any two or more.

[0037] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, assemblies, regions, layers, or parts, these components, assemblies, regions, layers, or parts should not be limited by these terms. Rather, these terms are used only to distinguish one component, assembly, region, layer, or part from another. Thus, without departing from the teaching of the examples described herein, the first component, first assembly, first region, first layer, or first part referred to as the first component, first assembly, first region, first layer, or first part may also be referred to as the second component, second assembly, second region, second layer, or second part.

[0038] In the specification, when an element (such as a layer, region, or substrate) is described as being "on" another element, "connected to," or "bonded to" another element, the element may be directly "on" another element, directly "connected to," or "bonded to" the other element, or one or more other elements may be present in between. Conversely, when an element is described as being "directly on" another element, "directly connected to," or "directly bonded to" another element, no other elements may be present in between.

[0039] The terminology used herein is for the purpose of describing various examples only and is not intended to limit disclosure. Unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. The terms “comprising,” “including,” and “having” indicate the presence of the described features, quantities, operations, components, elements, and / or combinations thereof, but do not preclude the presence or addition of one or more other features, quantities, operations, components, elements, and / or combinations thereof.

[0040] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains upon understanding this disclosure. Unless expressly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having a meaning consistent with their meaning in the context of the relevant field and in this disclosure, and shall not be interpreted in an idealized or overly formalistic manner.

[0041] Furthermore, in the description of the examples, detailed descriptions of well-known related structures or functions will be omitted when it is believed that such detailed descriptions would lead to a vague interpretation of this disclosure.

[0042] First, let's introduce some technical terms.

[0043] Wind power, also known as wind power generation, refers to the conversion of the kinetic energy of wind into electrical energy.

[0044] Wind farm: A wind farm is a tool invented by humankind. It utilizes wind energy and combines it with a series of generating machines to achieve the purpose of generating electricity from wind power.

[0045] Photovoltaic power generation refers to the conversion of light energy into electrical energy.

[0046] Photovoltaic power station: A photovoltaic power generation system is a power generation system that uses solar energy, employs special materials (such as crystalline silicon panels) and electronic components such as inverters, and is connected to the power grid to transmit electricity to the grid.

[0047] Wind-Solar Power System: This refers to a power plant that simultaneously possesses both wind farm and photovoltaic power station functions.

[0048] Figure 1 This is a flowchart illustrating a method for designing a landscape scene in conjunction with an embodiment of the present disclosure.

[0049] Reference Figure 1 In step S101, target site information, design information and evaluation variables are obtained.

[0050] This step is the initial information gathering step.

[0051] The site used for constructing a combined wind and light landscape is called the target site. The target site information describes the topography, environment, wind and light resources of the target site, which facilitates targeted design of the combined wind and light landscape based on this information.

[0052] The design information includes design requirements, available wind turbine information, and available photovoltaic module information. Design requirements indicate the requirements that the designed wind-solar co-location site must meet, such as, but not limited to, minimum power generation requirements, input-output ratio requirements, levelized cost of electricity requirements, and the number of candidate wind turbine sites (mentioned below). Available wind turbine information describes the wind turbines that can be installed in the wind-solar co-location site, such as, but not limited to, the designed number of wind turbines (i.e., the number of wind turbines expected to be installed in the wind-solar co-location site) and available wind turbine models (i.e., the models of wind turbines that can be used in the wind-solar co-location site, which can be at least one). Available photovoltaic module information describes the photovoltaic modules that can be installed in the wind-solar co-location site, such as, but not limited to, available photovoltaic module models (i.e., the models of photovoltaic modules that can be used in the wind-solar co-location site, which can be at least one, and preferably from the same brand).

[0053] Evaluation variables are used to evaluate design schemes. Optionally, evaluation variables include at least one of the following: power generation, rate of return, and equipment damage risk index. By using at least one of these evaluation variables, targeted references can be provided for subsequent evaluation of candidate schemes, thereby designing a scheme that meets the requirements. It should be understood that these evaluation variables can be calculated with reference to existing wind power and photovoltaic technologies, which will not be elaborated here. As an example, when using power generation as an evaluation variable, the candidate scheme with the highest power generation can be selected first; when using rate of return as an evaluation variable, the candidate scheme with the highest rate of return can be selected first; when using equipment damage risk index, the candidate scheme with the lowest equipment damage risk can be selected first. Of course, at least two evaluation variables can also be used in combination to design a scheme that balances and meets multiple requirements, thereby achieving a comprehensive performance evaluation. As an example, when evaluating comprehensive performance, the weighted sum of the values ​​of the at least two evaluation variables used can be calculated as the comprehensive evaluation variable value, and the design scheme with the most suitable value can be determined from the candidate schemes accordingly. Of course, other reasonable methods can also be used to achieve comprehensive evaluation, and this disclosure does not limit this.

[0054] In step S102, multiple candidate wind turbine locations are determined based on the target site information and design information.

[0055] This step is a preliminary preparation for determining candidate wind turbine locations. To achieve integrated wind and solar design, the number of candidate wind turbine locations should be greater than or equal to the designed number of turbines. When the number equals the designed number, it perfectly meets design requirements and reduces computational workload. When the number exceeds the designed number, it allows for a margin of safety in the number of locations, providing more flexibility in turbine placement and helping to find a better overall performance wind and solar co-location design scheme even with increased computational load. Specifically, existing wind farm design methods for determining turbine locations can be referenced to identify candidate locations, but it is crucial that the number of candidate locations is greater than or equal to the designed number of turbines, as required by design specifications.

[0056] Optionally, the number of candidate wind turbine locations is a preset multiple of the designed number of wind turbines, where the preset multiple is greater than or equal to 1. By setting this preset multiple parameter in advance, the number of candidate wind turbine locations can be adaptively adjusted according to the actual designed number of wind turbines, which helps to expand the applicability of the wind and solar co-location design method according to the exemplary embodiments of this disclosure and improve flexibility. As an example, the preset multiple can be a decimal, and the number of decimal places can be set as needed to achieve a finer-grained determination of the number of locations. For example, for the case of retaining one decimal place, the preset multiple can be values ​​such as 1.0, 1.2, 1.5, 2.0, 2.3, etc.

[0057] In step S103, the following steps are executed multiple times to obtain multiple candidate schemes for wind and solar co-location and their evaluation variable values: select the locations from multiple candidate wind turbine locations to determine the number of wind turbines to be designed; based on the selected locations, determine the candidate wind turbine layout schemes and the corresponding photovoltaic module layout schemes according to the target site information and design information, and obtain the candidate schemes for wind and solar co-location and their evaluation variable values.

[0058] This step is the most crucial, involving determining multiple candidate wind turbine layouts and their evaluation variable values. Considering the numerous constraints on wind turbine location selection, this process prioritizes determining turbine locations first, then identifies candidate turbine layouts, and finally designs the photovoltaic module layout based on these candidate layouts. Compared to prioritizing the photovoltaic module layout, this approach improves the flexibility of wind turbine layout and location selection, making it easier to find the optimal design and achieve efficient land and resource utilization. Specifically, when implementing wind turbine layout, existing wind farm design methods can be referenced; similarly, existing photovoltaic power plant design methods can be referenced when implementing photovoltaic module layout. This step will be further described later and will not be elaborated on here.

[0059] In step S104, the one whose evaluation variable value meets the preset evaluation conditions among the multiple candidate schemes for wind and solar co-location is determined as the design scheme for wind and solar co-location.

[0060] This step is the final comparative evaluation step. By referring to preset evaluation conditions and based on the evaluation variable values ​​of each candidate wind and solar power scheme, the candidate schemes are evaluated to obtain the final design scheme. It should be understood that preset evaluation conditions can represent the scheme with the optimal values ​​of the evaluation variables. Referring to the previous introduction of evaluation variables, preset evaluation conditions include, but are not limited to, maximum power generation, highest rate of return, lowest equipment damage risk, and optimal overall performance.

[0061] The wind and solar co-location design method according to the exemplary embodiments of this disclosure obtains multiple wind and solar co-location candidate schemes by comprehensively considering the design of wind farms and photovoltaic power plants during the design process. It can integrate and realize the wind and solar integrated design, and then screen these candidate schemes based on evaluation variables, so that the final wind and solar co-location design scheme can achieve optimal performance and improve the utilization rate of land and resources.

[0062] The following section will provide a further explanation of step S103.

[0063] Step S103 includes two steps: selecting wind turbine locations and determining candidate wind-solar co-location schemes and their evaluation variable values ​​based on the selected locations. These steps will be described in detail below.

[0064] Regarding the step of selecting wind turbine locations, in some embodiments, this step may optionally include: randomly selecting locations from a plurality of candidate wind turbine locations to determine the number of wind turbines to be designed. Specifically, if the randomly selected location is the same as a previously calculated candidate scheme, a new location is selected, which can reduce redundant calculations and save computational load.

[0065] In some other embodiments, optionally, this step includes: during the initial selection, selecting the number of wind turbine locations to be designed from multiple candidate wind turbine locations (e.g., including but not limited to random selection), and recording the unselected candidate wind turbine locations as alternative wind turbine locations; during subsequent selections, removing candidate wind turbine locations that meet preset removal criteria from the previously obtained candidate wind turbine layout schemes, and adding a corresponding number of alternative wind turbine locations. By determining an initial set of wind turbine locations during the initial selection, and then using the previous scheme as a basis for each subsequent selection (i.e., non-initial selection), removing candidate wind turbine locations that meet preset removal criteria, and adding alternative wind turbine locations with the same number of previously unselected locations as the previously removed candidate wind turbine locations, it can be ensured that the set of wind turbine locations obtained after each selection is different, thereby achieving convenient and regular location selection. Furthermore, by configuring preset rejection criteria, candidate wind turbine sites can be selectively removed, thus reducing the risk of eliminating high-quality sites. This ensures the quality of the final set of wind turbine sites and reduces the waste of computational resources caused by calculating subsequent candidate schemes and evaluation variables for low-quality wind turbine site combinations, thereby comprehensively improving computational efficiency. It should be understood that the preset rejection criteria represent the standard by which the performance of a given site is relatively poor among all candidate wind turbine sites. It should also be understood that each subsequent selection will select at least one alternative wind turbine site, which becomes a new candidate wind turbine site. This reduces the number of alternative wind turbine sites, while rejected candidate wind turbine sites are directly eliminated to reduce redundant calculations. It should also be understood that if the preset rejection criteria do not involve a limit on the number of rejection points, the number of rejection points may change each time. However, the number of candidate wind turbine points added each time should be consistent with the number of candidate wind turbine points rejected this time, so as to ensure that the total number of wind turbine points remains unchanged.

[0066] In some other embodiments described above, regarding when to stop selecting wind turbine locations, that is, when to stop the loop in step S103, in one example, an evaluation variable threshold can be set. When a candidate scheme for wind and solar co-location is encountered where the value of the evaluation variable exceeds the evaluation variable threshold, no new wind turbine locations will be selected, which helps to reduce the amount of calculation.

[0067] In another example, optionally, the step of removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes and adding a candidate wind turbine location when not selecting for the first time includes: if it is not the first time selecting and the number of remaining candidate wind turbine locations is greater than 0, removing candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes and adding a candidate wind turbine location; if it is not the first time selecting and the number of remaining candidate wind turbine locations is equal to 0, step S103, i.e., the step of selecting locations and determining the candidate wind-solar co-location scheme and its evaluation variable values, is no longer executed. By taking the completion of all candidate wind turbine locations as the termination condition, and stopping the selection of locations when the number of remaining candidate wind turbine locations is equal to 0, it is possible to fully ensure that all locations participate in the calculation, which helps to find the optimal candidate wind-solar co-location scheme. As an example, in a wind turbine location adjustment and replacement, if the number of remaining candidate wind turbine locations is less than the number of candidate wind turbine locations that meet the preset rejection criteria, the number of candidate wind turbine locations to be rejected can be reduced according to the specific content of the preset rejection criteria, so that the number of rejected candidate wind turbine locations is equal to the number of remaining candidate wind turbine locations. Of course, other reasonable processing methods can also be used to solve this problem, and this disclosure does not limit it.

[0068] The two examples above illustrate from different perspectives when to stop selecting wind turbine locations. One can be chosen to execute, or both can be executed simultaneously. For the latter, the threshold value of the evaluation variable in the first example can be set to a larger value. That is, wind turbine location selection should only stop when the evaluation variable value is exceptionally good; otherwise, selection should continue. This helps to reasonably balance the need to improve the performance of the solution with the need to control the computational load.

[0069] In some of the other embodiments described above, regarding the preset rejection criteria, or regarding how to reject candidate wind turbine locations when not selecting for the first time, in one example, each wind turbine layout candidate scheme has an estimated power generation for each candidate wind turbine location. The step of rejecting candidate wind turbine locations that meet the preset rejection criteria from the previously obtained wind turbine layout candidate scheme includes: rejecting the candidate wind turbine location with the lowest estimated power generation from the previously obtained wind turbine layout candidate scheme.

[0070] In another example, optionally, each candidate wind turbine layout scheme has light and shadow distribution information and an estimated power generation for each candidate wind turbine location. The light and shadow distribution information indicates the degree to which different areas within the target site are affected by light and shadow. The step of removing candidate wind turbine locations that meet preset removal criteria from the previously obtained candidate wind turbine layout schemes includes: for the previously obtained candidate wind turbine layout schemes, arranging each candidate wind turbine location in descending order of estimated power generation, and based on the light and shadow distribution information, removing the candidate wind turbine location with the greatest light and shadow impact from the lower-ranked candidate wind turbine locations. For wind and solar co-location, the main impact of wind turbines on photovoltaic modules is that the light and shadow from the wind turbines may shade the photovoltaic modules, leading to a reduction in photovoltaic power generation. By removing the candidate wind turbine location with the greatest light and shadow impact from a number of candidate wind turbine locations with relatively low estimated power generation, both the power generation performance of the wind turbine location itself and its impact on the power generation performance of the photovoltaic modules can be considered simultaneously. This comprehensive selection of candidate wind turbine locations helps to design a wind and solar co-location scheme with optimal overall performance, improving land and resource utilization. As an example, when determining several candidate wind turbine locations that are ranked lower, the determination of these candidate locations can be based on criteria such as, but not limited to, a preset number, a preset percentage, or a preset power generation. This disclosure does not impose any limitations on this. The influence of light and shadow on the candidate wind turbine locations will be discussed in conjunction with the description of light and shadow distribution information below.

[0071] Regarding the steps for determining candidate wind-solar co-location schemes and their evaluation variable values ​​based on selected locations, optionally, this step includes: Based on the selected locations, and according to target site information and design information, performing wind turbine layout to obtain candidate wind turbine layout schemes; based on the obtained candidate wind turbine layout schemes, determining the light and shadow distribution information of the target site, where the light and shadow distribution information represents the degree of light and shadow influence on different areas within the target site; based on the light and shadow distribution information, target site information, and design information, performing photovoltaic module layout to obtain a photovoltaic module layout scheme; and using the obtained candidate wind turbine layout schemes and the corresponding photovoltaic module layout schemes together as candidate wind-solar co-location schemes, and determining the evaluation variable values. For wind farms, the previously selected locations only indicate locations where wind turbines can be installed, and it is unclear what specific type of wind turbine will be installed at each location. By calculating the wind turbine layout based on the target site information and design information (specifically, design requirements information and available wind turbine information), more specific candidate wind turbine layout schemes can be obtained, realizing the scheme determination for the wind farm portion. Simultaneously, based on the specific wind turbine models installed at each location, the structural dimensions of the wind turbines at each location can be understood. This allows for the determination of the light and shadow distribution information of the target site after the wind turbines are installed. When arranging photovoltaic modules, more detailed and accurate light and shadow distribution information can be referenced. Combined with target site information and design information (specifically design requirements and available photovoltaic module information), a photovoltaic module layout scheme can be determined, truly achieving integrated wind and solar design. Of course, other reasonable methods can also be used to determine candidate wind and solar co-location schemes and their evaluation variable values; this disclosure does not impose any restrictions on this. Regarding the light and shadow impact of the candidate wind turbine locations mentioned above, since the calculation of light and shadow distribution information here considers both terrain factors and the light and shadow impact brought by the wind turbines themselves, the light and shadow impact of the candidate wind turbine locations refers to the light and shadow impact generated by the wind turbines erected at that location and the surrounding terrain. The specific degree of impact can be measured based on the light and shadow distribution information calculated here.

[0072] Specific wind turbine and photovoltaic module layout methods are mature technologies in this field and will not be elaborated upon here. A brief introduction to photovoltaic module layout methods optimized for power generation and their power generation calculation methods follows: Besides the influence of light intensity, the terrain of the photovoltaic layout area also affects photovoltaic power generation performance. To reduce the impact of slope and aspect deviations from sunlight on photovoltaic power generation efficiency, the priority of photovoltaic layout areas is first determined based on light intensity, prioritizing areas with weaker light intensity. Then, the power generation efficiency of each layout area is calculated sequentially based on terrain slope or aspect. Combining the light intensity of each area, a photovoltaic power generation distribution map is calculated and drawn for each area. Finally, based on the photovoltaic capacity and area size, the photovoltaic capacity of each area is configured and the photovoltaic power generation is calculated.

[0073] As an example, the steps described above for arranging photovoltaic (PV) modules based on light and shadow distribution information, target site information, and design information to obtain a PV module layout scheme include: based on the light and shadow distribution information, performing region elimination processing on the target site to remove areas where the degree of light and shadow influence exceeds the influence threshold, thus obtaining candidate areas; and arranging PV modules within the candidate areas based on the light and shadow distribution information, target site information, and design information to obtain a PV module layout scheme. By eliminating areas with a high degree of light and shadow influence based on the light and shadow distribution information before formally arranging PV modules, and then arranging PV modules in the remaining candidate areas, areas unsuitable for PV module layout can be eliminated in advance, which helps improve the calculation efficiency of PV module layout. It should be understood that when eliminating areas in the target site that are unsuitable for arranging photovoltaic modules and obtaining candidate areas, in addition to eliminating areas based on the influence of light and shadow, areas can also be eliminated by combining restrictive factors. Restrictive factors include, but are not limited to, environmental and ecological protection factors, legal and policy restrictions, etc. Residential areas, rivers, lakes, and natural scenic areas can also be eliminated. The information used for eliminating areas can be included in the design requirements information. These are all implementation methods of this disclosure and fall within the protection scope of this disclosure.

[0074] Regarding the aforementioned step of determining the light and shadow distribution information of the target site based on the obtained candidate wind turbine layout schemes, in some embodiments, the sunshine duration or light and shadow coverage duration of different areas in the target site can be determined through simulation calculations based on the wind turbine structural parameters at different locations under the obtained candidate wind turbine layout schemes and the target site information, and used as the light and shadow distribution information. It should be understood that if it is necessary to perform area elimination processing on the target site based on the light and shadow distribution information, areas with sunshine duration below a sunshine duration threshold or light and shadow coverage duration above a light and shadow coverage duration threshold can be eliminated.

[0075] In some embodiments, optionally, this step includes: calculating the light and shadow distribution map of the target site at different times based on the wind turbine structural parameters at different locations under the obtained wind turbine layout candidate schemes and the target site information; and fusing the light and shadow distribution maps at different times to obtain light and shadow distribution information. As time changes, the solar altitude angle changes, thus causing the light and shadow distribution to change accordingly. By calculating the light and shadow distribution map at different times based on the fixed wind turbine structural parameters at each location and the target site information, and then fusing it from a time dimension, comprehensive light and shadow distribution information can be obtained, achieving effective determination of the light and shadow distribution information. As an example, when calculating the light and shadow distribution map of a target site at different times, the areas covered by light and shadow can be filled with a certain color. During the fusion process, multiple light and shadow distribution maps can be directly superimposed, making the color of the overlapping light and shadow covered areas darker (for example, using values ​​of parameters such as brightness, grayscale, and saturation to represent the depth of the color after overlapping). The darker the color, the longer the area is covered by light and shadow, thus obtaining a full-field light and shadow intensity distribution map reflecting the duration of light and shadow coverage in each area, serving as light and shadow distribution information. It should be understood that if it is necessary to perform area removal processing on the target site based on the light and shadow distribution information, areas in the map whose color depth exceeds a depth threshold can be removed. Of course, other reasonable methods can also be used to calculate and fuse the light and shadow distribution map, and this disclosure does not limit this.

[0076] Next, combine Figure 2 A method for designing simultaneous landscape and light scenery according to specific embodiments of the present disclosure is introduced.

[0077] Reference Figure 2 This specific embodiment provides a wind and solar integrated collaborative design technology solution, which consists of five modules: a storage module, a wind turbine location selection module, a wind turbine layout module, a photovoltaic layout and power generation calculation module, and a wind turbine location adjustment and scheme evaluation module. These modules are used to store the information required for calculation (including target site information, design information, and evaluation variables), determine the initial wind turbine locations, complete the corresponding wind turbine layout based on the selected wind turbine locations, execute the photovoltaic module layout and calculate the total power generation based on the candidate wind turbine layout schemes, adjust the wind turbine locations, or perform the final scheme evaluation.

[0078] The method for combining scenery and light in the same location as the target audience, implemented in this scheme, includes the following steps:

[0079] 1) Identify multiple candidate wind turbine locations. This step is performed by the wind turbine location initial selection module.

[0080] In integrated wind and solar power plant design, the arrangement of wind turbines affects the arrangement of photovoltaic modules. Therefore, to maximize the overall power generation of the integrated wind and solar plant, the wind turbine arrangement needs to be adjusted. Thus, the number of candidate wind turbine sites can exceed the designed number of turbines. These extra sites serve as backup sites, allowing for adjustments to the turbine arrangement. Based on data such as wind resources, topography, limiting factors, and available turbine models at the target site, and following the principle of optimal power generation, candidate wind turbine sites are selected at a ratio of 1.2 times the designed number of turbines. These extra sites serve as backup sites for the integrated wind and solar power plant design.

[0081] 2) Select the initial wind turbine location from multiple candidate locations. This step is also performed by the wind turbine location initial selection module.

[0082] 3) Based on the selected fan locations, fan layout is performed to obtain candidate fan layout schemes. This step is also performed by the fan layout module.

[0083] 4) Determine the light and shadow distribution information. This step is performed by the photovoltaic layout and power generation calculation module.

[0084] First, by combining the structural data such as the wind turbine layout, wind turbine height, and tower diameter in the candidate wind turbine layout schemes, the full-field light and shadow distribution map at different times (i.e., different solar altitude angles) is calculated. Then, the maps are superimposed and fused to generate a full-field light and shadow intensity distribution map as light and shadow distribution information. The greater the light and shadow intensity, the lower the solar energy received in that area.

[0085] 5) Region Removal. This step is also performed by the photovoltaic layout and power generation calculation module.

[0086] Based on the overall light and shadow intensity distribution map, the limiting factors in each region recorded in the design requirements information are superimposed to eliminate regions with low receiveable energy and those with limitations.

[0087] 6) Photovoltaic module layout. This step is also performed by the photovoltaic layout and power generation calculation module.

[0088] Photovoltaic module layout and power generation calculation: Besides the influence of light and shadow intensity, the terrain of the photovoltaic (PV) layout area also affects PV power generation performance. To reduce the impact of slope and aspect deviations from sunlight on PV efficiency, the PV layout areas are first prioritized based on light and shadow intensity, prioritizing areas with weak light and shadow intensity and high energy reception. Then, the power generation efficiency of each layout area is calculated sequentially based on terrain slope or aspect. Combining this with the light and shadow intensity or energy intensity of each area, a PV power generation distribution map is calculated and plotted for each area. Finally, based on the PV capacity and area size, the PV capacity of each area is configured, and the PV power generation is calculated. This PV module layout scheme, together with the corresponding wind turbine layout candidate scheme, constitutes a candidate scheme for wind and solar co-location.

[0089] 7) Calculate the total power generation of the candidate wind and solar co-location scheme by combining the power generation of wind and solar power. This step is also performed by the solar power layout and power generation calculation module.

[0090] 8) Adjust wind turbine locations, removing the locations with the lowest power generation from the current candidate schemes that have the greatest impact on sunlight and shadow, and adding the same number of alternative wind turbine locations. This step is performed by the wind turbine location adjustment and scheme evaluation module when the number of remaining alternative wind turbine locations is greater than 0.

[0091] 9) Arrange the fans based on the adjusted fan locations, and repeat steps 3) to 8) until all candidate fan locations have been calculated.

[0092] 10) Select the candidate scheme with the highest power generation of the entire wind and solar power plant as the final design scheme for wind and solar power plant co-generation.

[0093] This specific implementation fully draws upon and integrates mature experience in the independent design of existing wind farms and photovoltaic power plants (mainly mature experience in wind turbine layout and photovoltaic module layout), attempting to find a more comprehensive and efficient integrated wind and solar power co-location design technology. It aims to construct a set of tools and platforms for integrated wind and solar planning and design, based on photovoltaic power generation performance assessment of the wind turbine shadow area, photovoltaic power generation assessment based on terrain slope or aspect characteristics, and total radiation of the site, to construct a photovoltaic power generation distribution map of the entire exploitable area and build a wind-solar co-location photovoltaic power generation assessment model. Based on wind turbine and photovoltaic module layouts, through the integration of planning and layout algorithms and business processes, the layout model can be optimized more flexibly. The entire layout optimization process and computational efficiency are more in line with the current application needs of the new energy industry. Furthermore, by using power generation as an evaluation variable, it achieves the maximization of overall farm revenue assessment, simultaneously considering the land utilization rate and cost per kilowatt-hour emphasized in wind-solar co-location, thereby improving overall wind and solar co-location revenue, increasing production capacity, improving the efficiency of wind and solar resource utilization, and enhancing the level of intensive land use. Within the same boundary area, wind-solar co-location power plants offer increased construction capacity and power generation compared to conventional wind farms or photovoltaic power plants. Furthermore, through continuous iterative optimization, achieving integrated collaborative design for wind-solar co-location projects can improve the efficiency of integrated planning and design.

[0094] Figure 3 This is a block diagram illustrating a landscape and scenery design device according to an embodiment of the present disclosure.

[0095] Reference Figure 3 The wind and light co-location design device 300 includes an acquisition unit 301, a first determination unit 302, an execution unit 303, and a second determination unit 304.

[0096] The acquisition unit 301 can acquire target site information, design information, and evaluation variables. The design information includes design requirements information, available wind turbine information, and available photovoltaic module information. The design requirements information indicates the requirements that the designed wind and solar power system needs to meet. The available wind turbine information includes the number of wind turbines designed. The evaluation variables are variables used to evaluate the design scheme.

[0097] The first determining unit 302 can determine multiple candidate wind turbine locations based on the target site information and design information, wherein the number of candidate wind turbine locations is greater than or equal to the number of designed wind turbines.

[0098] The execution unit 303 can execute the following steps multiple times to obtain multiple candidate schemes for wind and solar co-location and their evaluation variable values: select the locations from multiple candidate wind turbine locations to determine the number of wind turbines to be designed; based on the selected locations, determine the candidate wind turbine layout schemes and the corresponding photovoltaic module layout schemes according to the target site information and design information, and obtain the candidate schemes for wind and solar co-location and their evaluation variable values.

[0099] The second determining unit 304 can determine the wind and solar co-location design scheme as the one whose evaluation variable value meets the preset evaluation conditions among multiple candidate schemes for wind and solar co-location.

[0100] Optionally, the execution unit 303 may also: during the first selection, select the points from multiple candidate fan locations that represent the number of fan locations to be designed, and record the unselected candidate fan locations as alternative fan locations; during subsequent selections, remove the candidate fan locations that meet the preset removal criteria from the previously obtained fan layout candidate schemes, and add the corresponding number of alternative fan locations.

[0101] Optionally, the execution unit 303 may also: if it is not the first selection and the number of remaining candidate wind turbine locations is greater than 0, remove candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes, and add a corresponding number of candidate wind turbine locations; if it is not the first selection and the number of remaining candidate wind turbine locations is equal to 0, no longer execute the steps of selecting locations and determining the candidate schemes for wind and solar co-location and the values ​​of their evaluation variables.

[0102] Optionally, each wind turbine layout candidate scheme obtained has light and shadow distribution information and the estimated power generation of each candidate wind turbine location. The light and shadow distribution information indicates the degree of light and shadow influence on different areas within the target site. The execution unit 303 can also sort each candidate wind turbine location in descending order of estimated power generation for the previously obtained wind turbine layout candidate scheme, and based on the light and shadow distribution information, remove the candidate wind turbine location with the greatest light and shadow influence from the lower-ranked candidate wind turbine locations.

[0103] Optionally, the execution unit 303 may also: based on the selected locations, and according to the target site information and design information, arrange wind turbines to obtain candidate wind turbine arrangement schemes; based on the obtained candidate wind turbine arrangement schemes, determine the light and shadow distribution information of the target site, wherein the light and shadow distribution information represents the degree of influence of light and shadow on different areas within the target site; arrange photovoltaic modules according to the light and shadow distribution information, target site information, and design information to obtain a photovoltaic module arrangement scheme; and use the obtained candidate wind turbine arrangement schemes and the corresponding photovoltaic module arrangement schemes together as candidate schemes for wind and solar co-location, and determine the values ​​of the evaluation variables.

[0104] Optionally, the execution unit 303 may also: calculate the light and shadow distribution map of the target site at different times based on the wind turbine structural parameters of different locations under the obtained wind turbine layout candidate scheme and the target site information; and perform fusion processing on the light and shadow distribution maps at different times to obtain light and shadow distribution information.

[0105] Optionally, the execution unit 303 may also: perform regional elimination processing on the target site based on the light and shadow distribution information to eliminate areas in the target site whose degree of light and shadow influence exceeds the influence threshold, thereby obtaining candidate areas; and arrange photovoltaic modules in the candidate areas according to the light and shadow distribution information, target site information and design information to obtain a photovoltaic module arrangement scheme.

[0106] Optionally, the number of candidate wind turbine locations is a preset multiple of the designed number of wind turbines, where the preset multiple is greater than or equal to 1.

[0107] Optionally, the evaluation variables may include at least one of the following: power generation, yield, and equipment damage risk indicators.

[0108] Regarding the apparatus in the above embodiments, the specific manner in which each unit performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0109] The wind and light co-location design method according to embodiments of this disclosure can be programmed into a computer program and stored on a computer-readable storage medium. When the instructions corresponding to the computer program are executed by a processor, the wind and light co-location design method described above can be implemented. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-RLTH, B D-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to provide the computer program and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

[0110] Figure 4This is a block diagram illustrating a computer device according to an embodiment of the present disclosure.

[0111] Reference Figure 4 The computer device 400 includes at least one memory 401 and at least one processor 402. The at least one memory 401 stores a set of computer-executable instructions. When the set of computer-executable instructions is executed by the at least one processor 402, the wind and solar co-location design method according to an exemplary embodiment of the present disclosure is executed.

[0112] As an example, computer device 400 may be a PC, tablet device, personal digital assistant, smartphone, or other device capable of executing the aforementioned set of instructions. Here, computer device 400 is not necessarily a single electronic device, but may be a collection of any devices or circuits capable of executing the aforementioned instructions (or instruction sets) individually or in combination. Computer device 400 may also be part of an integrated control system or system manager, or may be configured to interconnect with a portable electronic device locally or remotely (e.g., via wireless transmission) through an interface.

[0113] In computer device 400, processor 402 may include a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller, or a microprocessor. By way of example and not limitation, processor may also include analog processors, digital processors, microprocessors, multi-core processors, processor arrays, network processors, etc.

[0114] The processor 402 can execute instructions or code stored in the memory 401, which can also store data. Instructions and data can also be sent and received over a network via a network interface device, which can employ any known transmission protocol.

[0115] The memory 401 may be integrated with the processor 402, for example, by placing RAM or flash memory within an integrated circuit microprocessor. Alternatively, the memory 401 may include a separate device, such as an external disk drive, a storage array, or other storage device that can be used by any database system. The memory 401 and the processor 402 may be operatively coupled, or may communicate with each other, for example, via I / O ports, network connections, etc., enabling the processor 402 to read files stored in the memory.

[0116] In addition, computer device 400 may also include a video display (such as a liquid crystal display) and a user interaction interface (such as a keyboard, mouse, touch input device, etc.). All components of computer device 400 can be interconnected via a bus and / or network.

[0117] A computer program product according to an embodiment of the present disclosure includes computer instructions that, when executed by at least one processor, cause at least one processor to perform the landscape design method described above.

[0118] This disclosure provides a wind and solar co-location design method, storage medium, and computer equipment. By combining the design of wind farms and photovoltaic power plants during the design process, multiple wind and solar co-location candidate schemes are obtained, which can be integrated to achieve wind and solar integrated design. Then, based on evaluation variables, these candidate schemes are screened to optimize the performance of the final wind and solar co-location design scheme and improve the utilization rate of land and resources.

[0119] Meanwhile, in order to achieve integrated wind and solar design, the number of candidate wind turbine locations should be greater than or equal to the number of designed wind turbines. When the number of candidate locations is equal to the number of designed wind turbines, it can just meet the design requirements and reduce the amount of calculation. When the number of candidate locations is greater than the number of designed wind turbines, a margin can be left for the number of locations, which allows for some selection space for the wind turbine layout. This helps to find a wind and solar co-location design scheme with better overall performance while increasing the amount of calculation.

[0120] Furthermore, in determining multiple candidate schemes for simultaneous wind and solar power, considering the numerous constraints on wind turbine location selection, prioritizing the determination of wind turbine locations, followed by the identification of candidate wind turbine layout schemes, and then designing the layout of photovoltaic modules based on these specific wind turbine layout candidate schemes, enhances the flexibility of wind turbine layout and location selection compared to the previous approach of first determining candidate photovoltaic module layout schemes. This approach is more conducive to finding the optimal design scheme and achieving efficient utilization of land and resources.

[0121] The specific embodiments of this disclosure have been described in detail above. Although some embodiments have been shown and described, those skilled in the art should understand that modifications and variations can be made to these embodiments without departing from the principles and spirit of this disclosure, which are defined by the claims and their equivalents. Such modifications and variations should also be within the protection scope of the claims of this disclosure.

Claims

1. A method for designing scenery and landscape simultaneously, characterized in that, The method for designing simultaneous landscape and light features includes: Obtain target site information, design information, and evaluation variables. The design information includes design requirements, available wind turbines, and available photovoltaic modules. The design requirements indicate the requirements that the designed wind and solar power system needs to meet. The available wind turbines include the number of wind turbines designed. The evaluation variables are variables used to evaluate the design scheme. Based on the target site information and the design information, multiple candidate wind turbine locations are determined, wherein the number of candidate wind turbine locations is greater than or equal to the number of designed wind turbines; By repeatedly performing the following steps, multiple candidate schemes for simultaneous wind and light display are obtained, along with the values ​​of their evaluation variables: Select the locations from the plurality of candidate wind turbine locations to determine the number of wind turbines to be designed; Based on the selected locations, and according to the target site information and the design information, candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes are determined, resulting in candidate wind and solar co-location schemes and their evaluation variable values. The one whose evaluation variable value among the multiple candidate schemes for simultaneous wind and solar power is satisfied with the preset evaluation conditions is determined as the design scheme for simultaneous wind and solar power.

2. The method for designing simultaneous wind and light landscapes as described in claim 1, characterized in that, The step of selecting the number of wind turbines to be designed from the plurality of candidate wind turbine locations includes: During the initial selection, the number of wind turbine locations to be designed is selected from the plurality of candidate wind turbine locations, and the unselected candidate wind turbine locations are recorded as alternative wind turbine locations; When selecting wind turbines for the first time, remove the candidate wind turbine locations that meet the preset removal criteria from the previously obtained wind turbine layout candidate schemes, and add the corresponding number of alternative wind turbine locations.

3. The method for designing simultaneous wind and light scenery as described in claim 2, characterized in that, When selecting wind turbines for the first time, the process of removing candidate wind turbine locations that meet preset removal criteria from the previously obtained candidate wind turbine layout schemes and adding a corresponding number of alternative wind turbine locations includes: If it is not the first selection and the number of remaining candidate wind turbine locations is greater than 0, remove candidate wind turbine locations that meet the preset removal criteria from the previously obtained candidate wind turbine layout schemes, and add the corresponding number of candidate wind turbine locations. If it is not the first selection and the number of remaining candidate wind turbine sites is equal to 0, the steps of selecting sites and determining the candidate schemes for wind and solar co-location and the values ​​of their evaluation variables will no longer be performed.

4. The method for designing simultaneous wind and light landscapes as described in claim 2, characterized in that, Each candidate wind turbine layout scheme obtained includes light and shadow distribution information and the estimated power generation of each candidate wind turbine location. The light and shadow distribution information indicates the degree to which different areas within the target site are affected by light and shadow. The process of removing candidate wind turbine locations that meet preset removal criteria from the previously obtained candidate wind turbine layout schemes includes: Based on the candidate wind turbine layout schemes obtained in the previous analysis, the candidate wind turbine locations are arranged in descending order of estimated power generation. Then, based on the light and shadow distribution information, the candidate wind turbine locations with the greatest impact from light and shadow are removed from the lower-ranked candidate wind turbine locations.

5. The method for designing simultaneous wind and solar energy as described in any one of claims 1 to 4, characterized in that, Based on the selected locations, and according to the target site information and the design information, candidate wind turbine layout schemes and corresponding photovoltaic module layout schemes are determined, resulting in candidate wind-solar co-location schemes and their evaluation variable values, including: Based on the selected locations, the wind turbines are arranged according to the target site information and the design information to obtain candidate wind turbine arrangement schemes. Based on the obtained candidate wind turbine layout schemes, the light and shadow distribution information of the target site is determined, wherein the light and shadow distribution information represents the degree to which different areas within the target site are affected by light and shadow; Based on the light and shadow distribution information, the target site information, and the design information, the photovoltaic modules are arranged to obtain a photovoltaic module arrangement scheme; The obtained wind turbine layout candidate schemes and corresponding photovoltaic module layout schemes are used together as wind and solar co-location candidate schemes, and the values ​​of evaluation variables are determined.

6. The method for designing simultaneous wind and light landscapes as described in claim 5, characterized in that, The determination of light and shadow distribution information for the target site based on the obtained candidate wind turbine layout schemes includes: Based on the wind turbine structural parameters at different locations under the obtained wind turbine layout candidate schemes and the target site information, calculate the light and shadow distribution map of the target site at different times; The light and shadow distribution maps at different times are fused to obtain the light and shadow distribution information.

7. The method for designing simultaneous wind and light landscapes as described in claim 5, characterized in that, The step of arranging photovoltaic modules according to the light and shadow distribution information, the target site information, and the design information to obtain a photovoltaic module arrangement scheme includes: Based on the light and shadow distribution information, the target site is subjected to region elimination processing to eliminate regions in the target site whose degree of influence by light and shadow exceeds the influence threshold, thereby obtaining candidate regions; Based on the light and shadow distribution information, the target site information, and the design information, photovoltaic modules are arranged within the candidate area to obtain a photovoltaic module arrangement scheme.

8. The method for designing simultaneous wind and light landscapes as described in any one of claims 1 to 4, characterized in that, The number of candidate wind turbine locations is a preset multiple of the designed number of wind turbines, and the preset multiple is greater than or equal to 1; and / or The evaluation variables include at least one of the following: power generation, rate of return, and equipment damage risk indicators.

9. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by at least one processor, the at least one processor causes the at least one processor to perform the wind and solar co-location design method as described in any one of claims 1 to 8.

10. A computer device, characterized in that, include: At least one processor; At least one memory that stores computer-executable instructions. Wherein, when the computer-executable instructions are executed by the at least one processor, the at least one processor causes the at least one processor to execute the landscape and solar scene design method as described in any one of claims 1 to 8.

Images