A photovoltaic support structure reduction optimization method

Abstract

The present invention provides a photovoltaic support structure reduction optimization method, which belongs to the field of photovoltaic power generation technology, and includes the following steps: step S1: setting a control target, step S2: forming a weight list, step S3: component optimization, step S4: strength and safety review, if the review result meets the specification requirements, then the optimization result is obtained, and the step S5 is jumped to, if the review result does not meet the specification requirements, then the step S3 is jumped to; step S5: optimization result comparison, according to the optimization result obtained by the strength and safety review, the control target in step S1 is compared, if the control target is achieved, the structural form of the photovoltaic support is formed according to the optimization result, and the optimization process ends, if the control target is not achieved, then the step S3 is jumped to perform a new round of photovoltaic support structure reduction optimization. Through this method, the cost of photovoltaic power generation projects can be controlled and the investment income of photovoltaic projects can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and in particular to a method for optimizing the structure reduction of a photovoltaic support. Background Art

[0002] The photovoltaic bracket is the supporting structure of the photovoltaic power generation component. It, together with the photovoltaic components, cables, junction boxes, inverters, distribution cabinets and other electrical equipment, constitutes a photovoltaic array. The investment in photovoltaic brackets has a relatively large impact on the total investment of photovoltaic projects. Usually, in the investment decision-making process of photovoltaic power generation projects, the steel consumption per unit megawatt of a photovoltaic bracket is calculated to control the total investment of the project. The calculated steel consumption often becomes the control weight of the photovoltaic bracket during subsequent execution. However, in the project design stage, there is a situation where the weight of the photovoltaic bracket exceeds the control weight, which makes it difficult to control the project investment cost and has poor economic benefits. Therefore, it is necessary to optimize the photovoltaic bracket structure. At present, the research and exploration of the optimization method of the photovoltaic bracket structure is still relatively lacking, and it is urgent to provide a photovoltaic bracket structure reduction optimization method. Summary of the invention

[0003] In order to solve the technical problems in the prior art, the present invention provides a method for reducing and optimizing the photovoltaic support structure, which reduces and optimizes the photovoltaic support structure to control project costs while meeting the requirements of specifications and standards, thereby improving the investment return of photovoltaic projects.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A photovoltaic support structure reduction optimization method comprises the following steps:

[0006] Step S1: Setting a control target, according to the steel consumption per megawatt of the photovoltaic support calculated in the project investment decision-making stage, or according to the project reference value selected based on engineering experience, setting a control target for photovoltaic support structure reduction optimization;

[0007] Step S2: forming a weight list, analyzing and calculating the weight proportion of each component of the photovoltaic bracket in each photovoltaic sub-array during the preliminary design, and forming a weight list, wherein the components include columns, diagonal braces, diagonal beams, purlins and connectors;

[0008] Step S3: component optimization, selecting the purlin, the diagonal beam, the column and the diagonal brace to establish structural mechanics models respectively, and optimizing each component respectively to reduce the weight of each component;

[0009] Step S4: Strength and safety review: according to the photovoltaic assembly arrangement mode, the setting mode of each component, the connection form of each component, and the specifications and sizes of each component obtained by component optimization, the strength and safety of the photovoltaic bracket are reviewed. If the review result meets the requirements of the specification, the optimization result is obtained, and the process jumps to step S5. If the review result does not meet the requirements of the specification, the process jumps to step S3.

[0010] Step S5: Comparison of optimization results. The optimization results obtained based on the strength and safety review are compared with the control targets in step S1. If the control targets are achieved, the structural form of the photovoltaic bracket is formed according to the optimization results, and the optimization process ends. If the control targets are not achieved, jump to step S3 for a new round of photovoltaic bracket structure reduction optimization.

[0011] Furthermore, in step S3, the specific process of component optimization includes:

[0012] Step S31: Optimizing the purlins, establishing a purlin structural mechanics model according to the photovoltaic support structure before optimization, and optimizing the purlins;

[0013] Step S32: Optimizing the inclined beams. According to the optimized purlins and photovoltaic sub-array layout in step S31, a structural mechanics model of the inclined beams is established, and the inclined beams are optimized. The optimization method includes selecting a cold-bent thin-walled C-shaped steel structure as the inclined beam material and lengthening the cantilevered section of the inclined beam extending out of the diagonal bracing part.

[0014] Step S33: Optimizing the columns. According to the optimized inclined beams in step S32, a structural mechanics model of the columns is established, and the columns are optimized. The optimization methods include changing the fulcrum position between the columns and the inclined beams and changing the arrangement of the columns.

[0015] Step S34: Optimize the diagonal braces, which include front diagonal braces and rear diagonal braces. According to the column arrangement after optimization in step S33 and the fulcrum positions between the columns and the diagonal beams, a structural mechanical model of the diagonal braces is established, and the diagonal braces are optimized. The optimization method includes selecting an asymmetric cold-bent thin-walled C-shaped steel structure as the diagonal brace material and reducing the length and force angle of the diagonal brace.

[0016] Furthermore, in step S31, the optimization method of the purlin includes selecting a cold-bent thin-walled C-shaped steel structure as the purlin material; shortening the length of the purlin extending from the photovoltaic module; lengthening the cantilevered section of the purlin extending from the inclined beam, thereby increasing the photovoltaic sub-array and increasing the proportion of purlins used in a single sub-array; and changing the layout of the photovoltaic sub-array to increase the proportion of purlins used in the overall project.

[0017] Furthermore, in step S32, the optimization method of the inclined beam includes selecting a cold-bent thin-walled C-shaped steel structure as the inclined beam material and lengthening the cantilevered section of the inclined beam extending out of the diagonal support portion.

[0018] Furthermore, in step S31, when the purlins are optimized by changing the layout of the photovoltaic sub-arrays, the photovoltaic sub-array form needs to be selected in accordance with the project topography and in the order of the proportion of the purlin weight in the weight list, thereby increasing the proportion of the overall purlin usage in the project.

[0019] Furthermore, after a round of photovoltaic support structure reduction optimization, when step S3 is performed for the second time, a step is added before step S31 to optimize the connecting parts, which include at least one of photovoltaic module blocks, bolt pairs, purlin ties, diagonal beam tie rods and column clamps, and the optimization is performed by reducing the weight of a single connecting part and the number of overall connecting parts.

[0020] Furthermore, after a round of photovoltaic support structure reduction optimization, when step S33 is performed for the second time, the columns are optimized by selecting and changing the arrangement of the columns.

[0021] Furthermore, after two rounds of photovoltaic support structure reduction optimization, when step S4 is performed for the third time, if the structural importance coefficient is greater than 0.95, the structural importance coefficient is adjusted to 0.95.

[0022] Furthermore, if the control target of photovoltaic support structure reduction optimization is still not achieved after three rounds of photovoltaic support structure reduction optimization, the control target of photovoltaic support structure reduction optimization is adjusted, and the structural form of the photovoltaic support is formed according to the optimization results reviewed for the third time in step S4.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The present invention adopts the method of optimizing the layout of photovoltaic sub-arrays according to the weight list. In the first round, the purlins, diagonal beams, columns and diagonal braces are optimized respectively. In the second round, the layout of the connectors and columns is optimized. In the third round, the photovoltaic direct structure is reduced and optimized by adjusting the value of the structural importance coefficient, thereby adjusting the calculated load and other methods. The optimization is hierarchical, step-by-step and focused. The optimized photovoltaic bracket column layout, force structure and component selection are more reasonable. While meeting the support force structure, the amount of steel used in the photovoltaic bracket can be controlled to the maximum extent, thereby saving the material cost of the photovoltaic bracket. With the reduction of the amount of steel used per megawatt of the photovoltaic bracket structure, the installation cost of the photovoltaic bracket is also reduced accordingly by weight, thereby reducing the investment amount of the photovoltaic project;

[0025] 2. The present invention does not simply pursue the control of the steel consumption of photovoltaic brackets. By setting up three rounds of structural optimization and adjusting the control target in the third round of optimization, it avoids the unscientific calculation of the steel consumption per megawatt of photovoltaic brackets in the project investment decision-making process, resulting in the inability to achieve the control target, and achieves a balance between economy and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on the structures shown in these accompanying drawings without paying any creative work.

[0027] Figure 1 A flow chart of a photovoltaic support structure reduction optimization method according to an embodiment of the present invention;

[0028] Figure 2 A flowchart of a specific process for optimizing components of an embodiment of the present invention;

[0029] Figure 3 This is a schematic diagram of a 3×8 photovoltaic sub-array structure according to an embodiment of the present invention;

[0030] Figure 4 This is a schematic diagram of a 3×39 photovoltaic sub-array structure according to an embodiment of the present invention;

[0031] Figure 5 A side view of a single-pile dual-pillar photovoltaic support according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0034] like Figure 1-Figure 5 As shown, the present invention provides the following technical solutions:

[0035] A photovoltaic support structure reduction optimization method comprises the following steps:

[0036] Step S1: setting a control target, using the steel consumption per megawatt of the photovoltaic support calculated in the project investment decision-making stage, or a project reference value selected based on engineering experience as a control target for photovoltaic support structure reduction optimization;

[0037] Step S2: forming a weight list, analyzing and calculating the weight proportion of each component of the photovoltaic bracket in each photovoltaic sub-array during the preliminary design, and forming a weight list, wherein the components include columns, diagonal braces, diagonal beams, purlins and connectors;

[0038] Step S3: Component optimization, selecting the purlins, diagonal beams, columns and diagonal braces to establish structural mechanics models respectively, and optimizing the components; the structural mechanics model can be established by software such as PKPM, 3D3S, etc., the structural form is a statically determinate or hyperstatic structure, and the bar system unit is used for modeling.

[0039] Step S4: Strength and safety review: according to the photovoltaic group arrangement mode, the setting mode of each component, the connection form of each component, and the specifications and sizes of each component obtained by component optimization, the strength and safety of the photovoltaic bracket are reviewed. If the review result meets the requirements of the specification, the optimization result is obtained, and the process jumps to step S5. If the review result does not meet the requirements of the specification, the process jumps to step S3.

[0040] Step S5: Comparison of optimization results. The optimization results obtained based on the strength and safety review are compared with the control targets in step S1. If the control targets are achieved, the structural form of the photovoltaic bracket is formed according to the optimization results, and the optimization process ends. If the control targets are not achieved, jump to step S3 for a new round of photovoltaic bracket structure reduction optimization.

[0041] In step S3, the specific process of component optimization includes:

[0042] Step S31: Optimize the purlins. According to the photovoltaic support structure before optimization, establish a purlin structural mechanical model and optimize the purlins. The optimization methods include selecting cold-bent thin-walled C-shaped steel structure as the purlin material; reducing the length of the purlin extending out of the photovoltaic module; lengthening the cantilevered section of the purlin extending out of the inclined beam, thereby enlarging the photovoltaic sub-array and increasing the proportion of purlins used in a single sub-array; changing the layout of the photovoltaic sub-array to increase the proportion of purlins used in the project as a whole;

[0043] Step S32: Optimizing the inclined beams. According to the optimized purlins and photovoltaic sub-array layout in step S31, a structural mechanics model of the inclined beams is established, and the inclined beams are optimized. The optimization method includes selecting a cold-bent thin-walled C-shaped steel structure as the inclined beam material and lengthening the cantilevered section of the inclined beam extending out of the diagonal bracing part.

[0044] Step S33: Optimizing the columns. According to the optimized inclined beams in step S32, a structural mechanics model of the columns is established, and the columns are optimized. The optimization methods include changing the fulcrum position between the columns and the inclined beams and changing the arrangement of the columns.

[0045] Step S34: Optimize the diagonal braces, which include front diagonal braces and rear diagonal braces. According to the column arrangement after optimization in step S33 and the fulcrum positions between the columns and the diagonal beams, a structural mechanical model of the diagonal braces is established, and the diagonal braces are optimized. The optimization method includes selecting an asymmetric cold-bent thin-walled C-shaped steel structure as the diagonal brace material and reducing the length and force angle of the diagonal brace.

[0046] In some embodiments of the present invention, the structural mechanics model is a finite element model, especially the hoop nodes of the columns, which are subjected to finite element calculations.

[0047] In some embodiments of the present invention, in step S31, when the purlins are optimized by changing the layout of the photovoltaic sub-array, the photovoltaic sub-array form needs to be selected in combination with the project terrain and in the order of the weight proportion of the purlins in the weight list. For example, assuming that the order of the weight proportion of the purlins in the weight list is 3*39, 3*26, 3*13, 3*8, and 3*7, then when the project terrain conditions allow the arrangement of a 3*39 photovoltaic sub-array, the photovoltaic sub-array will be arranged as 3*39, and so on, thereby increasing the overall purlin usage proportion of the project from the overall layout by preferentially selecting photovoltaic sub-arrays with a high purlin weight proportion.

[0048] In some embodiments of the present invention, after a round of photovoltaic support structure reduction optimization, when step S3 is performed for the second time, a step is added before step S31 to optimize the connecting parts, which include photovoltaic module blocks, bolt pairs, purlin ties, diagonal beam tie rods and column clamps, and the optimization is performed by reducing the weight of a single connecting part and the number of overall connecting parts.

[0049] In some embodiments of the present invention, after a round of photovoltaic support structure reduction optimization, when step S33 is performed for the second time, the arrangement of the columns is changed to optimize the columns.

[0050] In some embodiments of the present invention, wind load and snow load are taken based on a 25-year return period.

[0051] In some embodiments of the present invention, after two rounds of photovoltaic support structure reduction optimization, when step S4 is performed for the third time, if the structural importance coefficient is greater than 0.95 at this time, it will be adjusted to 0.95, that is, the design service life of the photovoltaic project is considered to be 25 years, and the structural importance coefficient takes the average value between 0.9-1. Since the structural importance coefficient is adjusted, the calculated load will be reduced, thereby achieving the purpose of reduction optimization.

[0052] In some embodiments of the present invention, when the control target of the photovoltaic support structure reduction optimization is still not achieved after three rounds of photovoltaic support structure reduction optimization, the control target of the photovoltaic support structure reduction optimization is adjusted, and the structural form of the photovoltaic support is formed according to the optimization results reviewed for the third time in step S4.

[0053] The significance of adjusting the control target is that it does not blindly pursue controlling the amount of steel used in photovoltaic brackets. By adjusting the control target, it avoids the situation in which the control target cannot be achieved due to unscientific calculation of the amount of steel used per megawatt of photovoltaic brackets during the project investment decision-making process, or terrain restrictions at the project site, etc., thereby achieving a balance between economy and safety.

[0054] The above descriptions are only optional embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A photovoltaic support structure reduction optimization method, characterized in that: The steps include: Step S1: Setting a control target, according to the steel consumption per megawatt of the photovoltaic support calculated in the project investment decision-making stage, or according to the project reference value selected based on engineering experience, setting a control target for photovoltaic support structure reduction optimization; Step S2: forming a weight list, analyzing and calculating the weight proportion of each component of the photovoltaic bracket in each photovoltaic sub-array during the preliminary design, and forming a weight list, wherein the components include columns, diagonal braces, diagonal beams, purlins and connectors; Step S3: Component optimization, selecting the purlin, the diagonal beam, the column and the diagonal brace to establish structural mechanics models respectively, and optimizing each component to reduce the weight of each component; specifically: Step S31: Optimizing the purlins, establishing a purlin structural mechanics model according to the photovoltaic support structure before optimization, and optimizing the purlins; Step S32: Optimizing the inclined beams, establishing an inclined beam structural mechanics model based on the optimized purlins and photovoltaic sub-array layout in step S31, and optimizing the inclined beams; Step S33: Optimizing the column, establishing a column structural mechanics model based on the inclined beam optimized in step S32, and optimizing the column, wherein the optimization method includes changing the fulcrum position between the column and the inclined beam; Step S34: optimizing the diagonal brace, wherein the diagonal brace includes a front diagonal brace and a rear diagonal brace. According to the arrangement of the columns optimized in step S33 and the position of the fulcrum between the columns and the diagonal beams, a structural mechanical model of the diagonal brace is established, and the diagonal brace is optimized. The optimization method includes selecting an asymmetric cold-bent thin-walled C-shaped steel structure as the diagonal brace material and reducing the length and stress angle of the diagonal brace. Step S4: Strength and safety review: according to the photovoltaic assembly arrangement mode, the setting mode of each component, the connection form of each component, and the specifications and sizes of each component obtained by component optimization, the strength and safety of the photovoltaic bracket are reviewed. If the review result meets the requirements of the specification, the optimization result is obtained, and the process jumps to step S5. If the review result does not meet the requirements of the specification, the process jumps to step S3. Step S5: Comparison of optimization results. The optimization results obtained based on the strength and safety review are compared with the control targets in step S1. If the control targets are achieved, the structural form of the photovoltaic bracket is formed according to the optimization results, and the optimization process ends. If the control targets are not achieved, jump to step S3 for a new round of photovoltaic bracket structure reduction optimization.

2. The photovoltaic support structure reduction optimization method according to claim 1, characterized in that: In step S31, the optimization method of the purlin includes selecting a cold-bent thin-walled C-shaped steel structure as the purlin material; reducing the length of the purlin extending from the photovoltaic module; lengthening the cantilevered section of the purlin extending from the inclined beam, thereby increasing the photovoltaic sub-array and increasing the proportion of purlins used in a single sub-array; and changing the layout of the photovoltaic sub-array to increase the proportion of purlins used in the overall project.

3. The photovoltaic support structure reduction optimization method according to claim 1, characterized in that: In step S32, the optimization method of the inclined beam includes selecting a cold-bent thin-walled C-shaped steel structure as the inclined beam material and lengthening the cantilevered section of the inclined beam extending out of the diagonal support portion.

4. The photovoltaic support structure reduction optimization method according to claim 2, characterized in that: In step S31, when the purlins are optimized by changing the layout of the photovoltaic sub-arrays, the photovoltaic sub-array form should be selected according to the weight proportion of the purlins in each photovoltaic sub-array in the weight list in combination with the project terrain to increase the proportion of the overall purlin usage in the project.

5. The photovoltaic support structure reduction optimization method according to claim 1, characterized in that: After a round of photovoltaic support structure reduction optimization, when step S3 is performed for the second time, a step is added before step S31 to optimize the connecting parts, which include at least one of photovoltaic module blocks, bolt pairs, purlin ties, diagonal beam tie rods and column clamps. The connecting parts are optimized by reducing the weight of a single connecting part and the number of overall connecting parts.

6. The photovoltaic support structure reduction optimization method according to claim 5, characterized in that: After a round of photovoltaic support structure reduction optimization, when step S33 is performed for the second time, the columns are optimized by changing the arrangement of the columns.

7. The photovoltaic support structure reduction optimization method according to claim 6, characterized in that: After two rounds of photovoltaic support structure reduction optimization, when step S4 is performed for the third time, if the structural importance coefficient is greater than 0.95, the structural importance coefficient is adjusted to 0.

95.

8. The photovoltaic support structure reduction optimization method according to claim 7, characterized in that: If the control target of photovoltaic support structure reduction optimization is still not achieved after three rounds of photovoltaic support structure reduction optimization, the control target of photovoltaic support structure reduction optimization is adjusted, and the structural form of the photovoltaic support is formed according to the optimization results reviewed for the third time in step S4.

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