A method, system and power generation device for the layout of a photovoltaic power station on a highway slope.

Abstract

This application relates to a method, system, and power generation device for the layout of a photovoltaic power station on a highway slope. The method includes: acquiring multi-source power generation planning road segment units and their geographical environmental parameters; calculating multi-source planning parameter indices and corresponding multi-source suitability control factors for the multi-source power generation planning road segment units based on the geographical environmental parameters; calculating a multi-source power generation suitability index for the multi-source power generation planning road segment units based on the multi-source planning parameter indices and multi-source suitability control factors; and generating a multi-source layout plan for the highway slope based on the multi-source power generation suitability index. This method, by integrating photovoltaic and wind power, quantifying synergistic effects, and dynamically weighting the data, can overcome the limitations of single-source photovoltaic power station layouts, improve power generation stability and land utilization, and shorten the investment payback period. It is particularly suitable for multi-energy complementary scenarios on highway slopes.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic power station technology, and in particular relates to a method, system and power generation device for the layout of a photovoltaic power station on a highway slope. Background Technology

[0002] Currently, my country is at a crucial stage of transitioning from a major transportation nation to a leading transportation power, and accelerating the construction of a sustainable transportation system. Both the "Outline for Building a Leading Transportation Nation" and the "National Comprehensive Three-Dimensional Transportation Network Planning Outline" clearly state the need to strengthen the upgrading and utilization of renewable energy, new energy, and clean energy equipment and facilities. Therefore, as pioneers of modernization, the transportation industry urgently needs to accelerate the strategic deployment of integrated transportation and energy development, research and explore the construction of a self-sustaining clean energy system for roadside areas, build policy and technology systems, comprehensively improve the low-carbon operation level of highways, and promote the integration of energy, transportation, and information networks to support the development of road-related economies. This is the only way to accelerate the process of "end-user electricity consumption," "electricity decarbonization," and "green and intelligent" development in highway transportation.

[0003] The prior art, authorized by CN117575290B, calculates the power generation suitability index for each road segment unit and selects road segment units with a power generation suitability index greater than a preset threshold as target road segment units for highway slope photovoltaic power station layout. This improves the rationality of highway slope photovoltaic power station layout, significantly reduces fieldwork workload and costs, and improves site selection efficiency, thereby effectively improving the power generation efficiency and stability of distributed photovoltaic power stations on highway slopes. However, the prior art, authorized by CN117575290B, only focuses on photovoltaic power generation layout and does not involve the planning of other clean energy sources. It cannot achieve multi-source coordinated layout on road slopes, and therefore cannot comprehensively assess the power generation potential of road slopes. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, system, and power generation device for the layout of photovoltaic power stations on highway slopes that can achieve multi-source collaborative optimization, in order to address the above-mentioned technical problems.

[0005] This application provides a method for the layout of a photovoltaic power station on a highway slope, including:

[0006] Obtain the geographical environment parameters of the multi-source power generation planning road segment unit and the multi-source power generation planning road segment unit;

[0007] Based on geographical environmental parameters, calculate the multi-source planning parameter indicators and the corresponding multi-source suitability control factors for the multi-source power generation planning section units. The multi-source planning parameter indicators include photovoltaic planning parameter indicators and wind power planning parameter indicators.

[0008] The multi-source power generation suitability index is calculated for multi-source power generation planning road segment units based on multi-source planning parameter indicators and multi-source suitability control factors. The multi-source power generation suitability index includes photovoltaic power generation suitability index and wind power generation suitability index.

[0009] Based on the multi-source power generation suitability index, a multi-source layout plan for highway slopes is generated. The multi-source power station layout plan for highway slopes includes a photovoltaic power station layout plan and a wind power station layout plan.

[0010] The aforementioned layout method, system, and power generation device for photovoltaic power stations on highway slopes utilize the three-dimensional space of the slope to arrange photovoltaic and wind power in layers. This integrates the resource characteristics of photovoltaic and wind power, increases the power generation per unit area, and coordinates the layout to smooth the output curve, reducing power output fluctuations. This provides strong technical support for the development and utilization of new energy in special areas such as highway slopes, and helps to promote the integrated development of transportation and new energy, optimize the energy structure, and protect the environment. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A schematic diagram illustrating the application environment of a highway slope photovoltaic power station layout method provided in one embodiment of this application;

[0013] Figure 2 A schematic flowchart illustrating a method for arranging a photovoltaic power station on a highway slope, provided as an embodiment of this application;

[0014] Figure 3 This is a schematic diagram illustrating the calculation of the minimum control distance between surrounding objects and photovoltaic modules in a method for laying out a photovoltaic power station on a highway slope, provided as an embodiment of this application.

[0015] Figure 4 This is a schematic diagram illustrating the calculation of the shading index in a method for laying out a photovoltaic power station on a highway slope, provided in one embodiment of this application.

[0016] Figure 5 A schematic diagram illustrating a process for generating multi-source layout planning for highway slopes based on a multi-source power generation suitability index, provided as an embodiment of this application;

[0017] Figure 6 A schematic diagram of a process for generating a multi-source layout plan for highway slopes, provided as an embodiment of this application;

[0018] Figure 7 A schematic flowchart illustrating another method for arranging a photovoltaic power station on a highway slope, provided as an embodiment of this application;

[0019] Figure 8 This is a schematic diagram of a highway slope photovoltaic power station layout system provided in one embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0021] The highway slope photovoltaic power station layout method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, the computing platform 101 communicates with the sensing device 102 and the display device 103 via a communication channel. A data storage system can store the data that the computing platform 101 needs to process. The data storage system can be integrated into the computing platform 101 or placed in the cloud or on other network servers. The sensing device 102 can collect the mapping and meteorological data required for the layout of the photovoltaic power station. The computing platform 101 can calculate the relevant parameters for the photovoltaic power station layout based on the mapping and meteorological data collected by the sensing device, perform layout planning, and generate the photovoltaic power station layout result. The display device 103 can obtain the photovoltaic power station layout result generated by the computing platform 101 and display it. The computing platform 101 can be implemented using a standalone server or a server cluster consisting of multiple servers. The sensing device 102 can be, but is not limited to, mapping equipment, meteorological sensing equipment, power monitoring equipment, environmental monitoring stations, and remote sensing satellites.

[0022] In one exemplary embodiment, such as Figure 2 As shown, a method for the layout of photovoltaic power stations on highway slopes is provided, which can be applied to... Figure 1 Taking computing platform 101 as an example, the explanation includes the following steps S201 to S204. Wherein:

[0023] Step S201: Obtain the geographical environment parameters of the multi-source power generation planning road segment unit and the multi-source power generation planning road segment unit.

[0024] Specifically, the computing platform 101 can segment the engineering coordinate system data and / or geodetic coordinate system data of the proposed multi-source power generation planning routes stored in the data storage system according to preset rules, thereby obtaining multiple multi-source power generation planning road segment units. It can also retrieve the geographical environment parameters of the multi-source power generation planning road segment units obtained from sensing devices and stored in the data storage system.

[0025] Optionally, the multi-source power generation planning section unit includes photovoltaic planning areas and wind power planning areas.

[0026] Step S202: Based on the geographical environment parameters, calculate the multi-source planning parameter index and the corresponding multi-source suitability control factor for the multi-source power generation planning segment unit.

[0027] Specifically, the calculation platform 101 can calculate the multi-source planning parameter indicators and the corresponding multi-source suitability control factors for the multi-source power generation planning segment units based on the geographical environment parameters of the multi-source power generation planning segment units. The multi-source planning parameter indicators can include photovoltaic planning parameter indicators and wind power planning parameter indicators.

[0028] Optionally, the multi-source programming parameters can be normalized data.

[0029] Step S203: Calculate the multi-source power generation suitability index of the multi-source power generation planning segment unit based on the multi-source planning parameter indicators and multi-source suitability control factors.

[0030] Specifically, the calculation platform 101 can calculate the multi-source power generation suitability index of multi-source power generation planning segment units based on multi-source planning parameter indicators and multi-source suitability control factors. Among them, the multi-source power generation suitability index can include the photovoltaic power generation suitability index and the wind power generation suitability index.

[0031] For example, the computing platform 101 can calculate the photovoltaic power generation suitability index of the photovoltaic planning area and the wind power generation suitability index of the wind power planning area of ​​the multi-source power generation planning segment unit based on multi-source planning parameter indicators and multi-source suitability control factors.

[0032] Step S204: Generate a multi-source layout plan for highway slopes based on the multi-source power generation suitability index.

[0033] Specifically, the computing platform 101 can generate a multi-source power generation layout plan for highway slopes based on the multi-source power generation suitability index. This plan includes the layout plan for photovoltaic power stations on highway slopes within photovoltaic planning areas and the layout plan for wind power stations on highway slopes within wind power planning areas.

[0034] In the above-mentioned method for the layout of photovoltaic power stations on highway slopes, by obtaining the geographical environmental parameters of the multi-source power generation planning road segment units and calculating the multi-source planning parameter indicators and multi-source suitability control factors based on these parameters, the overall power generation suitability of each road segment unit can be assessed more comprehensively and accurately. This provides a scientific basis for the layout planning of multi-source power stations on highway slopes, thereby making better use of the spatial resources of highway slopes, improving the overall power generation efficiency and stability, maximizing energy capture and conversion efficiency, increasing the utilization of renewable energy, and reducing dependence on traditional fossil energy.

[0035] In an optional embodiment, the formula for calculating the photovoltaic power generation suitability index is:

[0036]

[0037] In the formula, The photovoltaic power generation suitability index is the i-th multi-source power generation planning segment unit. and These are the solar radiation resource suitability control factors, slope length suitability control factors, slope gradient suitability control factors, slope aspect suitability control factors, shading suitability control factors, local photovoltaic absorption suitability control factors, and photovoltaic grid connection potential suitability control factors for the i-th multi-source power generation planning road segment unit, respectively; λ SR , λ SL , λ SG , λ SA , λ SH , λ SLC and λ SG These are the weighting coefficients for solar radiation resource parameters, slope length parameters, slope angle parameters, aspect parameters, shading parameters, local photovoltaic absorption parameters, and photovoltaic grid connection potential parameters. and These are the solar radiation resource parameters, slope length parameters, slope angle parameters, aspect parameters, shading parameters, local photovoltaic absorption parameters, and photovoltaic grid connection potential parameters for the i-th multi-source power generation planning road segment unit.

[0038] Optional, solar radiation resource parameters The Solar Radiation Resources Index can be obtained through overlay analysis based on the annual total solar radiation distribution map and the road segment unit map.

[0039] Optionally, the suitability control factor for solar radiation resources can be determined based on the annual total solar irradiance. (Suitability of Solar Radiation Resources).

[0040] For example, annual total solar irradiance can be divided into four levels: most abundant, very abundant, abundant, and moderate. In macro-level site selection, only areas in the most abundant, very abundant, and abundant levels can be considered. Therefore, the solar radiation resource suitability control factor for areas with annual total solar irradiance belonging to the moderate level can be determined. Assign a value of 0 to other areas The value is assigned to 1.

[0041] Optional, please refer to Figure 3 Slope length parameter index (Slope Length Index) can be set to the slope length L of each slope.

[0042] Furthermore, when the size of the photovoltaic equipment is known, the effective slope length of each slope can be calculated based on the known photovoltaic size data and the slope length of each slope, and the effective slope length of each slope can be set as the slope length parameter index. The effective slope length is used to characterize the total size of photovoltaic equipment that can actually be placed on each slope.

[0043] Optionally, a minimum slope length threshold for photovoltaic equipment installation can be set based on preset photovoltaic size data, and a slope length suitability control factor can be set for areas where the slope length L is less than the minimum slope length threshold. (Suitability of SlopeLength) is set to 0, and other areas... The value is assigned to 1.

[0044] For example, the slope length required to lay a row of photovoltaic modules can be set as a threshold for the suitability of slope photovoltaic site selection. The minimum slope length threshold can be set to 100mm.

[0045] Optional, please refer to Figure 3 Slope parameters can be obtained based on the slope θ. (Slope GradientIndex).

[0046] For example, slope parameter index The calculation formula can be:

[0047]

[0048] In the formula, Let be the average slope value of the i-th multi-source power generation planning segment unit.

[0049] Optional, please refer to Figure 3 The maximum slope threshold for photovoltaic support installation can be set based on preset photovoltaic support data, and the slope suitability control factor for areas with a slope θ greater than the maximum slope threshold can be set. (Suitability of Slope Gradient) is set to 0, and other areas... The value is assigned to 1.

[0050] Optionally, slope aspect parameters can be obtained based on the slope aspect azimuth. (Slope Aspect Index). This index can be used to determine the slope aspect suitability control factor for areas with slope azimuth angles within the range of [-π / 9, π / 9]. (Suitabilityof Slope Aspect) is set to 0, for other areas The value is assigned to 1.

[0051] Optional, please refer to Figure 3 and Figure 4 The shadow occlusion parameters can be calculated based on the obstacle's height H, the minimum distance D between the obstacle and the toe of the roadbed slope, the solar altitude angle, and the solar azimuth angle. (Shadow Index), and the shadow occlusion parameter index. Shadow occlusion suitability control factor for areas exceeding the preset shadow occlusion threshold (Suitability of Shadow) is set to 0, and the shadow occlusion suitability control factor is set for other areas. The value is assigned to 1.

[0052] Optionally, local photovoltaic power consumption parameters can be calculated based on the electrical load of the electrical equipment and the distance between the electrical equipment and the photovoltaic power station. (Solar Local Consumption Index), and a solar local consumption suitability control factor for areas where the electrical load of electrical equipment and the distance between electrical equipment and the photovoltaic power station are greater than a preset distance threshold. (Suitability of Solar Local Consumption) is set to 0, and the suitability control factor for local solar power consumption in other areas is... The value is assigned to 1.

[0053] Optionally, photovoltaic grid connection potential parameters can be calculated based on the distance between the grid connection point and the photovoltaic power station. (Solar Grid Connection Index), and a solar grid connection potential suitability control factor for areas where the distance between the grid connection point and the solar power plant is greater than a preset grid connection distance threshold. (Suitability of Solor GridConnection) is set to 0, other areas The value is assigned to 1.

[0054] For example, λ can be determined based on the degree of influence of multi-source planning parameters on photovoltaic power generation. SR , λ SL , λ SG , λ SA , λ SH, λ SLC and λ SG The values ​​were set to 0.5, 0.2, 0.05, 0.1, 0.05, 0.07, and 0.03, respectively.

[0055] In one alternative embodiment, such as Figure 5 As shown, a multi-source power generation suitability index is used to generate a multi-source layout plan for highway slopes, including:

[0056] Step S501: Based on the photovoltaic power generation suitability index, obtain the photovoltaic power station layout characteristic information of the target road section unit for the layout of photovoltaic power stations on highway slopes and the photovoltaic power station layout characteristic information of the target road section unit for the layout of photovoltaic power stations on highway slopes.

[0057] Indicatively, the layout characteristics of a photovoltaic power plant can include the height information of the photovoltaic equipment, the terrain roughness of the photovoltaic equipment, the energy storage component information of the photovoltaic equipment, and the operating parameter information of the photovoltaic components. The layout characteristics of a photovoltaic power plant can be used to predict the impact between photovoltaic equipment and other power generation equipment.

[0058] Step S502: Generate an initial layout plan for the photovoltaic power station on the highway slope based on the target road segment unit and the layout characteristics of the photovoltaic power station.

[0059] As an illustration, the initial layout plan for photovoltaic power stations on highway slopes can be a layout plan for single-source photovoltaic power stations generated by referring to the geographical environmental parameters related to photovoltaic equipment and the layout characteristics of photovoltaic power stations.

[0060] Step S503: Based on the wind power generation suitability index, obtain the wind power station layout characteristic information of the target road segment unit for the layout of wind power stations on highway slopes and the wind power station layout characteristic information of the target road segment unit for the layout of wind power stations on highway slopes.

[0061] Indicatively, wind power plant layout characteristics information may include the height information of wind power generation equipment, the blade diameter of wind power generation equipment, the energy storage component information of wind power generation equipment, and the operating parameter information of wind power generation components. Wind power plant layout characteristics information can be used to predict the impact between wind power generation equipment and other power generation equipment.

[0062] Step S504: Generate an initial roadside wind power station layout plan based on the target road segment unit and wind power station layout feature information.

[0063] Indicatively, the initial layout plan for wind power stations on highway slopes can be a layout plan for single-source wind power stations generated by referring to the geographical environmental parameters related to wind power generation equipment and the layout characteristics of wind power stations.

[0064] Step S505: Based on the layout feature information of photovoltaic power stations, the layout feature information of wind power stations, the initial layout plan of photovoltaic power stations on highway slopes, and the initial layout plan of wind power stations on highway slopes, generate a multi-source layout plan for highway slopes.

[0065] The aforementioned method for layouting photovoltaic power stations on highway slopes, by separately evaluating and planning the layouts of photovoltaic and wind power generation, can fully utilize the spatial resources of highway slopes and combine the advantages of the two power generation methods. This provides an effective solution for the deep integration of transportation infrastructure and new energy technologies, promotes the application and innovation of new energy technologies in the transportation sector, and helps drive the transportation industry towards a green, low-carbon, and sustainable development.

[0066] In one alternative embodiment, such as Figure 6 As shown, the multi-source power generation suitability index includes the photovoltaic and wind power combined power generation suitability index. The multi-source layout planning of highway slopes includes the layout planning of photovoltaic and wind power combined power stations on highway slopes. Based on the layout characteristic information of photovoltaic power stations, the layout characteristic information of wind power stations, the initial layout planning of photovoltaic power stations on highway slopes, and the initial layout planning of wind power stations on highway slopes, a multi-source layout plan for highway slopes is generated, including:

[0067] Step S601: Based on the target road segment units for the layout of wind power stations and photovoltaic power stations on highway slopes, determine the target road segment units for the layout of combined photovoltaic and wind power stations on highway slopes.

[0068] Step S602: Update the photovoltaic-wind power generation suitability index based on the photovoltaic power station layout characteristics and wind power station layout characteristics of the target road segment unit for the combined photovoltaic and wind power station layout on the highway slope.

[0069] Step S603: Generate layout feature information of photovoltaic and wind power combined power station based on the updated photovoltaic and wind power combined power generation suitability index, and generate an initial layout plan of photovoltaic and wind power combined power station on highway slope based on the layout feature information of photovoltaic and wind power combined power station.

[0070] Step S604: Generate the highway slope photovoltaic power station layout plan, highway slope wind power station layout plan, and highway slope photovoltaic-wind power combined power station layout plan based on the initial highway slope photovoltaic power station layout plan, the initial highway slope wind power station layout plan, and the initial highway slope photovoltaic-wind power combined power station layout plan.

[0071] Indicatively, the layout planning of photovoltaic (PV) power stations and wind power stations on highway slopes can be respectively generated by comprehensively considering PV-related geographical environmental parameters, PV power station layout characteristics, wind-related geographical environmental parameters, wind power station layout characteristics, and the influence between wind power equipment and PV power equipment, resulting in a single-source PV power station layout plan and a single-source wind power power station layout plan. The layout planning of combined PV and wind power stations on highway slopes can be a multi-source PV and wind power station layout plan generated by comprehensively considering PV-related geographical environmental parameters, PV power station layout characteristics, wind-related geographical environmental parameters, wind power station layout characteristics, and the influence between wind power equipment and PV power equipment.

[0072] In the above-mentioned method for the layout of photovoltaic power stations on highway slopes, by integrating the layout characteristic information of photovoltaic power stations and wind power stations, the target road segment units for the layout of combined photovoltaic and wind power stations on highway slopes can be determined more accurately, avoiding the limitations of single energy layout and improving the scientificity and rationality of layout planning.

[0073] In one optional embodiment, the formula for calculating the suitability index for combined photovoltaic and wind power generation is:

[0074]

[0075] In the formula, The suitability index for combined photovoltaic and wind power generation for the i-th multi-source power generation planning segment unit; and These are, respectively, the suitability control factors for the joint access of photovoltaic and wind power, the suitability control factors for coordinated efficiency enhancement of photovoltaic and wind power, the suitability control factors for temporal complementarity of photovoltaic and wind power, the suitability control factors for spatial competition between photovoltaic and wind power, the suitability control factors for wind power shading of photovoltaic power, the suitability control factors for wind power temperature rise effect of photovoltaic power, and the suitability control factors for photovoltaic power to wind power topographic change for the i-th multi-source power generation planning road segment unit; λ SW,J , λ SE,E , λ SW,T , λ SW,C , λ W→S,H , λ W→S,R and λ S→W,D These are the weighting coefficients for the photovoltaic and wind power joint access parameters, the weighting coefficients for the photovoltaic and wind power coordination and efficiency enhancement parameters, the weighting coefficients for the photovoltaic and wind power temporal complementarity parameters, the weighting coefficients for the photovoltaic and wind power spatial competition parameters, the weighting coefficients for the wind power shading parameters of photovoltaics, the weighting coefficients for the wind power temperature rise effect parameters of photovoltaics, and the weighting coefficients for the photovoltaic power topography change parameters. and These are the photovoltaic and wind power joint access parameters, photovoltaic and wind power coordination and efficiency enhancement parameters, photovoltaic and wind power temporal complementarity parameters, photovoltaic and wind power spatial competition parameters, wind power shading parameters, wind power temperature rise effect parameters, and photovoltaic power topographical change parameters for the i-th multi-source power generation planning road segment unit.

[0076] Optional, joint access parameters for photovoltaic and wind power (Solar Wind Joint Access Index) can be based on the photovoltaic power generation suitability index. And wind power suitability index We can obtain the result by weighted summation. Higher than the preset photovoltaic power generation suitability index threshold and The combined photovoltaic and wind power access suitability control factor for areas where the wind power suitability index threshold is higher than the preset threshold. (Suitability of Solar Wind Joint Access) is assigned a value of 1, other areas The value is assigned to 0.

[0077] Optional parameters for coordinated efficiency improvement of photovoltaic and wind power. (Solar Wind Efficiency Gains Index) can be based on the photovoltaic power generation suitability index. And wind power suitability index The weighted product is obtained. The parameters for coordinated efficiency improvement of photovoltaic and wind power can be calculated. Suitable control factor for photovoltaic and wind power coordination efficiency in areas where the threshold for photovoltaic-wind power coordination efficiency is higher than the preset threshold. (Suitability of Solar Wind Efficiency Gains) is assigned a value of 1, while other regions... The value is assigned to 0.

[0078] Optional, photovoltaic-wind power time-series complementary parameters The Solar-Wind Time Complementary Index can be calculated based on the Pearson correlation coefficient between the expected solar power generation and the expected wind power generation. This index represents the time-series complementarity parameters between solar and wind power. Solar-wind timing complementarity suitability control factor for areas exceeding the preset solar-wind timing complementarity threshold (Suitability of Solar Wind Time Complementary) is assigned a value of 1, while other regions... The value is assigned to 0.

[0079] Optional, please refer to Figure 3 Solar and wind power spatial competition parameters The Solar Wind Space Competitives Index (SCR) can be calculated based on the ratio of the minimum distance (D) between photovoltaic (PV) and wind power generation equipment to the safe distance between the wind power equipment and the PV equipment. It can also be used as a solar wind space competition suitability control factor for areas where the solar wind space competition parameters are below a preset solar wind space competition threshold. The suitability control factor for solar wind space competition in other regions is assigned a value of 1. The value is assigned to 0.

[0080] Optional, please refer to Figure 3 and Figure 4 Parameters of wind-induced shading of photovoltaic power The method for calculating the (Wind To SolorHidden Index) can be found in the shadow occlusion parameter index. The method for obtaining the parameters of wind-induced shading of photovoltaic power can be used. Wind force suitability control factor for photovoltaic shading in areas where wind force is below the preset threshold for photovoltaic shading The (Suitability of Wind To Solor Hidden) value is assigned to 1; this is because the photovoltaic power generation suitability index is calculated in this way. When doing so, shadow occlusion parameters are usually considered. Suitability control factors Therefore, the parameters of wind-induced shading of photovoltaic power can be used as indicators. Areas where wind force is greater than or equal to a preset threshold for photovoltaic shading. A value of 0.5 is assigned to achieve multi-level optimization filtering. The preset wind shading threshold for photovoltaics can be lower than the preset shading threshold, allowing for a more refined calculation of the wind shading impact on photovoltaics.

[0081] Optional parameters for the effect of wind power on photovoltaic temperature rise. The Wind To Solor Temperature Rise Index (WTRI) is calculated based on the reduction factor of the surface wind speed of a photovoltaic (PV) ... (Suitability of Wind To Solor Temperature Rise) is set to 0, and other areas... The value is assigned to 1.

[0082] For example, the expression for the wake influence area of ​​a wind power generation device can be as follows:

[0083]

[0084] In the formula, Ω W→S For the area affected by the wake of wind power generation equipment, θ w θ is the angle of the incoming wind direction. a Let X be the axial angle of the wind turbine arrangement, X be the distance between the photovoltaic equipment and the wind turbine equipment in the direction of the oncoming wind, and D be the axial angle of the wind turbine arrangement. w R is the diameter of the wind turbine blades, Y is the distance between the photovoltaic equipment and the wind power equipment in the vertical direction of the oncoming wind, and R is the distance between the photovoltaic equipment and the wind power equipment in the vertical direction of the oncoming wind. w The radius of influence of the wake.

[0085] For example, the expression for the reduction factor of the surface wind speed of a photovoltaic power generation device due to the wake of a wind power generation device can be as follows:

[0086]

[0087] In the formula, α represents the reduction factor of the surface wind speed of the photovoltaic power generation equipment due to the wake of the wind power generation equipment. w D is the thrust coefficient related to the wind turbine model. w Let Y be the diameter of the wind turbine blades, Y be the distance between the photovoltaic equipment and the wind power equipment in the vertical direction of the oncoming wind, and k be the distance between the photovoltaic equipment and the wind power equipment in the vertical direction of the oncoming wind. w X represents the wake spread ratio, and X represents the distance between the photovoltaic equipment and the wind power equipment in the direction of the oncoming wind.

[0088] Optional, photovoltaic parameters affecting wind-driven topography. The Wind to Solor Terrain Alteration Index can be calculated based on the terrain roughness of photovoltaic (PV) equipment, the average height of PV equipment, and the average height of wind turbines. It can be used to measure the parameters of how PV systems alter wind-driven terrain. Solar photovoltaic (PV) impact on wind and topography alteration in areas exceeding the preset threshold for solar PV impact on wind and topography alteration; solar PV impact on wind and topography alteration access suitability control factor. The suitability control factor for wind-to-solar-terrain alteration in other areas is assigned a value of 1. The value is assigned to 0.

[0089] As an illustration, the local grid integration parameters of photovoltaic and wind power systems can be calculated based on the electrical load of the electrical equipment and the distance between the electrical equipment and the combined photovoltaic and wind power station. (Solar Wind Local Consumption Index), and a solar-wind power grid integration local consumption suitability control factor for areas where the electrical load of the electrical equipment and the distance between the electrical equipment and the solar-wind power grid are greater than a preset solar-wind power grid integration distance threshold. (Suitability of Solar Wind Local Consumption) is set to 0, and the suitability control factor for combined local consumption of solar and wind power in other areas is... The value is assigned to 1.

[0090] Indicative, it can be based on photovoltaic grid connection potential parameters. Parameters of wind power grid connection potential Calculation of potential parameters for combined photovoltaic and wind power grid connection between the grid connection point and the combined photovoltaic and wind power station. (Solar Wind Grid Connection Index), and the distance between the grid connection point and the photovoltaic-wind power station is greater than the preset grid connection distance threshold for the photovoltaic-wind power station. Less than or Less than Regional suitability control factors for combined solar and wind power grid connection potential (Suitability of Solor Wind GridConnection) is set to 0, and the suitability control factor for the potential of combined solar and wind power grid connection in other areas is also set. The value is assigned to 1.

[0091] For example, the weighting coefficient λ of the photovoltaic and wind power joint access parameters can be adjusted according to the degree of influence of multi-source planning parameters on the combined photovoltaic and wind power generation. SW,J The weighting coefficient λ of the photovoltaic and wind power coordinated efficiency enhancement parameters SW,E The weighting coefficient λ of the photovoltaic-wind power time-series complementary parameter index SW,T The weighting coefficient λ of the spatial competition parameters for photovoltaic and wind power SW,C The weighting coefficient λ for wind power on photovoltaic shading parameters W→S,H The weighting coefficient λ for the parameter index of wind power on photovoltaic temperature rise effect W→S,R The weighting coefficient λ of the parameters related to the impact of photovoltaics on wind and topography S→W,D The values ​​were set to 0.35, 0.2, 0.25, 0.1, 0.04, 0.04, and 0.02, respectively.

[0092] Furthermore, the calculation formula for the suitability index of combined photovoltaic and wind power generation can include the local consumption parameter index of combined photovoltaic and wind power generation. Potential parameters for combined photovoltaic and wind power grid connection Solar and wind power combined with local absorption suitability control factor Suitable control factor for the potential of photovoltaic and wind power grid connection The weighting coefficient λ of the combined local consumption parameters of photovoltaic and wind power SW,LC The weighting coefficient λ of the potential parameters for grid connection of photovoltaic and wind power. SW,G At this point, λ can be adjusted based on the impact of multi-source planning parameters on the combined photovoltaic and wind power generation. SW,J , λ SW,E , λ SW,T , λ SW,C , λ W→S,H , λ W→S,R , λ S→W,D , λ SW,LC and λ SW,G The values ​​were set to 0.3, 0.2, 0.2, 0.1, 0.04, 0.04, 0.02, 0.04, and 0.06 respectively.

[0093] The above-mentioned method for the layout of photovoltaic power stations on highway slopes, by comprehensively considering various factors of combined photovoltaic and wind power generation, can fully assess the suitability of combined power generation for highway slope sections, providing a scientific basis for layout planning.

[0094] In one optional embodiment, the formula for calculating the wind power suitability index is:

[0095]

[0096] In the formula, The wind power suitability index is the planning road segment unit of the i-th multi-source power generation. and These are the wind energy resource reserve suitability control factors, wind speed suitability control factors, wind direction suitability control factors, wind power topography suitability control factors, wind power environmental protection suitability control factors, wind power local consumption suitability control factors, and wind power grid connection potential suitability control factors for the i-th multi-source power generation planning segment unit, respectively; λ WR , λ WV , λ WA , λ WS , λ WE , λ WL and λ WGThese are the weighting coefficients for wind energy resource reserves, wind speed, wind direction, wind power topography, wind power environmental protection, local wind power consumption, and wind power grid connection potential. and These are the wind energy resource parameters, wind speed parameters, wind direction parameters, wind power topography parameters, wind power environmental protection parameters, wind power local consumption parameters, and wind power grid connection potential parameters for the i-th multi-source power generation planning segment unit.

[0097] Optional wind energy resource parameters The Wind Resource Index (WRI) is generated based on annual average wind power density calculated from meteorological station data, wind energy resource distribution maps, and road segment unit maps of the planned area. It can also be used as a wind energy resource suitability control factor for areas with annual average wind power density exceeding a preset threshold. The suitability control factor for wind energy resource reserves in other areas is assigned a value of 1. The value is assigned to 0.

[0098] Optional wind speed parameters The Wind Velocity Index is generated based on annual effective wind speed hours and annual average wind speed, calculated from meteorological station data, wind energy resource distribution maps, and road segment unit maps of the planned area. It can also be used as a wind speed suitability control factor for areas where both the annual effective wind speed hours and annual average wind speed exceed a preset threshold. (Suitability of Wind Velocity) is set to 1, other areas The value is assigned to 0.

[0099] Optional, wind direction parameter index The Wind Aspect Index (WASI) is generated based on the prevailing wind direction frequency and standard deviation, derived from wind rose diagrams, meteorological data of the planned area, and road segment unit maps. It can be used as a wind direction suitability control factor for areas where the prevailing wind direction frequency is higher than a preset threshold and the standard deviation is lower than a preset threshold. (Suitability of Wind Aspect) is assigned a value of 1, and the wind direction suitability control factor for other areas is... The value is assigned to 0.

[0100] Optional, wind power terrain parameters The Wind Space Index can generate average slope and terrain roughness based on digital elevation model (DEM) topographic data, surface roughness distribution maps, and road segment unit maps. It can also be used to determine the wind power terrain suitability control factor for areas where both the average slope and terrain roughness are below a preset threshold. (Suitability of Wind Space) is assigned a value of 1, while the wind power terrain suitability control factor for other areas is... The value is assigned to 0.

[0101] Optional wind power environmental parameters The (Wind Environmental Index) is generated using a fuzzy control algorithm, which calculates the distance to ecologically sensitive areas based on ecological protection zone distribution maps and road segment unit maps of planned areas. It can also be used to determine the wind power environmental suitability control factor for areas where the distance to ecologically sensitive areas exceeds a preset ecological protection distance threshold. The (Suitability of Wind Environment) factor is assigned a value of 1, while the wind power environmental suitability control factor for other regions is... The value is assigned to 0.

[0102] Optionally, local wind power consumption parameters can be calculated based on the electrical load of the electrical equipment and the distance between the electrical equipment and the wind power station. (Wind Local Consumption Index), and includes the electrical load of electrical equipment and the wind power local consumption suitability control factor for areas where the distance between electrical equipment and wind power stations is greater than a preset wind distance threshold. (Suitability of Wind Local Consumption) is set to 0, and the wind local consumption suitability control factor for other areas is... The value is assigned to 1.

[0103] Optionally, wind power grid connection potential parameters can be calculated based on the distance between the grid connection point and the wind power station. (Wind Grid Connection Index), and a wind power grid connection potential suitability control factor for areas where the distance between the grid connection point and the wind power station is greater than a preset wind power grid connection distance threshold. (Suitability of WindGrid Connection) is set to 0, other areas The value is assigned to 1.

[0104] For example, λ can be determined based on the degree of influence of multi-source planning parameters on wind power generation.WR , λ WV , λ WA , λ WS , λ WE , and The values ​​were set to 0.4, 0.2, 0.15, 0.08, 0.07, 0.07, and 0.03, respectively.

[0105] The above-mentioned method for the layout of photovoltaic power stations on highway slopes, by comprehensively considering various factors of wind power generation, can fully assess the suitability of wind power generation for highway slope sections, provide a scientific basis for layout planning, and thus better meet the social demand for clean energy and improve the comprehensive benefits and economic value of highway facilities.

[0106] In one optional embodiment, the multi-source power generation planning section unit includes a geothermal planning area, the multi-source planning parameter index includes a geothermal planning parameter index, the multi-source suitability control factor includes a geothermal suitability control factor, the multi-source power generation suitability index includes a geothermal power generation suitability index, and the highway slope multi-source power station layout planning includes a highway slope geothermal power station layout planning.

[0107] In the above-mentioned method for the layout of photovoltaic power stations on highway slopes, by incorporating geothermal planning into multi-source power generation planning, the suitability of power generation for highway slope sections can be more comprehensively evaluated. By flexibly generating corresponding layout plans based on different highway slope conditions and energy demands, the method can be applied to multi-source power generation projects on highway slopes of various scales and types, thereby improving the versatility and adaptability of the method for the layout of photovoltaic power stations on highway slopes.

[0108] In one alternative embodiment, please refer to Figure 7 The multi-source layout planning for highway slopes includes the layout planning of combined photovoltaic, wind, and geothermal power plants on highway slopes. It generates the multi-source layout plan for highway slopes based on the multi-source power generation suitability index and also includes:

[0109] Step S709: Based on the geothermal power generation suitability index, obtain the geothermal power plant layout characteristic information of the target road segment unit for highway slope geothermal power plant layout and the geothermal power plant layout characteristic information of the target road segment unit for highway slope geothermal power plant layout.

[0110] Step S710: Generate an initial roadside geothermal power station layout plan based on the target road segment unit and geothermal power station layout characteristics information.

[0111] Step S711: Based on the initial layout plan of the highway slope geothermal power station, the layout plan of the highway slope photovoltaic power station, the layout plan of the highway slope wind power station, and the multi-source suitability control factors, generate the layout plan of the combined photovoltaic, wind and geothermal power station on the highway slope.

[0112] In the above-mentioned layout method of photovoltaic power stations on highway slopes, the overall output stability of the energy system can be improved and the impact of fluctuations in intermittent renewable energy can be reduced through the coordinated layout and dynamic matching of multiple energy types. Through the three-dimensional development of slope space resources, the spatial limitations of the traditional single energy layout mode can be broken through, and the energy output efficiency per unit space can be maximized.

[0113] In one optional embodiment, the formula for calculating the geothermal power generation suitability index is:

[0114]

[0115] In the formula, The geothermal power generation suitability index is the i-th multi-source power generation planning segment unit. and These are the geothermal resource reserve suitability control factors, geothermal temperature suitability control factors, geological condition suitability control factors, geothermal reservoir burial depth suitability control factors, geothermal environmental protection suitability control factors, local geothermal power consumption suitability control factors, and geothermal power grid connection potential suitability control factors for the i-th multi-source power generation planning section unit, respectively; λ GR , λ GT , λ GS , λ GD , λ GE , λ GL and λ GG These are the weighting coefficients for geothermal resource reserves, geothermal temperature, geological conditions, geothermal reservoir depth, geothermal environmental protection, local consumption of geothermal power, and geothermal power grid connection potential. and These are the geothermal resource reserve parameters, geothermal temperature parameters, geological condition parameters, geothermal reservoir burial depth parameters, geothermal environmental protection parameters, local geothermal power consumption parameters, and geothermal power grid connection potential parameters for the i-th multi-source power generation planning section unit.

[0116] Optional, geothermal resource reserve parameters The Geothermal Reserve Index (GREI) is a geothermal resource reserve calculation tool that can be used to determine geothermal resource reserves based on geothermal well exploration data, geothermal resource distribution maps, and geological unit maps of the planned area. It can also be used as a geothermal resource reserve suitability control factor for areas where the geothermal resource reserves exceed a preset threshold. The suitability control factor for geothermal resource reserves in other areas is assigned a value of 1. The value is assigned to 0.

[0117] Optional geothermal temperature parameters The Geothermal Temperature Index (GTI) is a geothermal fluid temperature generator that calculates geothermal fluid temperatures based on geothermal well temperature data, geothermal gradient distribution maps, and road segment unit maps of the planned area. It can also be used as a geothermal temperature suitability control factor for areas where the geothermal fluid temperature exceeds a preset threshold. The (Suitability of Geothermal Temperature) factor is assigned a value of 1, which is the geothermal temperature suitability control factor for other areas. The value is assigned to 0.

[0118] Optional geological condition parameters The Geological Situation Index (GSI) can generate rock layer permeability, fault zone density, and seismic influence factors based on geological exploration data, rock layer permeability distribution maps, seismic activity data, and road segment unit maps of the planned area. It can also be used to determine the geological suitability control factors for areas that meet the following conditions: seismic influence factor below a preset seismic influence threshold, fault zone density below a preset fault zone density threshold, and rock layer permeability above a preset rock layer permeability threshold. (Suitability of Geological Situation) is assigned a value of 1, other regions The value is assigned to 0.

[0119] Optional parameters for geothermal reservoir burial depth The (Reservoir Depth Index) can be generated based on reservoir depth data obtained from seismic exploration data, geothermal reservoir depth contour maps, and road segment unit maps of the planned area. It can also be used as a geothermal reservoir depth suitability control factor for areas where the reservoir depth data is below a preset depth threshold. The suitability of reservoir depth is assigned a value of 1, which is the control factor for the suitability of reservoir burial depth in other areas. The value is assigned to 0.

[0120] Optional geothermal environmental protection parameters The Geothermal Environmental Index (GEI) is generated based on geothermal ecological sensitive zone distances and pollutant emission concentrations derived from ecological protection zone distribution maps, hydrogen sulfide emission limit data, groundwater sensitive zoning maps, and road segment unit maps of planned areas. It can also be used to determine the geothermal environmental suitability control factors for areas where the distance to the geothermal ecological sensitive zone exceeds a preset geothermal ecological protection distance threshold, while the pollutant emission concentration is below a preset emission threshold. (Suitability of Geothermal Environment) is assigned a value of 1, other regions The value is assigned to 0.

[0121] Optionally, local geothermal power consumption parameters can be calculated based on the electrical load of the electrical equipment and the distance between the electrical equipment and the geothermal power plant. (Geothermal Local Consumption Index), and includes control factors for the suitability of local geothermal power consumption in areas where the electrical load of electrical equipment and the distance between electrical equipment and geothermal power plants exceed a preset geothermal distance threshold. (Suitability of Geothermal Local Consumption) is set to 0 for other regions. The value is assigned to 1.

[0122] Optionally, geothermal power grid connection potential parameters can be calculated based on the distance between the grid connection point and the geothermal power plant. (Geothermal Grid Connection Index), and a control factor for the suitability of geothermal power grid connection potential in areas where the distance between the grid connection point and the geothermal power plant is greater than a preset geothermal grid connection distance threshold. (Suitability of Geothermal Grid Connection) is set to 0, and the suitability control factor for geothermal power grid connection potential in other areas is also set. The value is assigned to 1.

[0123] For example, λ can be determined based on the degree of influence of multi-source planning parameters on wind power generation. GR , λ GT , λ GS , λ GD , λ GE , λ GL and λ GG The values ​​were set to 0.35, 0.2, 0.2, 0.08, 0.07, 0.07, and 0.03, respectively.

[0124] The above-mentioned method for the layout of photovoltaic power stations on highway slopes, by comprehensively considering various factors of geothermal power generation, can more comprehensively and systematically evaluate the suitability of geothermal power generation for highway slope sections, providing important theoretical basis and technical support for the planning, design, construction and operation of geothermal power generation projects.

[0125] In an optional embodiment, the formula for calculating the suitability index of photovoltaic, wind, and geothermal combined power generation is as follows:

[0126]

[0127] In the formula, The suitability index for combined photovoltaic and wind power generation for the i-th multi-source power generation planning segment unit; and These are, respectively, the suitability control factors for the joint access of photovoltaic, wind, and geothermal power, the suitability control factors for coordinated efficiency enhancement of photovoltaic, wind, and geothermal power, the suitability control factors for temporal complementarity of photovoltaic, wind, and geothermal power, the suitability control factors for spatial competition between photovoltaic, wind, and geothermal power, the suitability control factors for wind and geothermal power shading of photovoltaic power, the suitability control factors for wind and geothermal power temperature rise effect on photovoltaic power, and the suitability control factors for photovoltaic and geothermal power topographical changes for the i-th multi-source power generation planning road segment unit; λ SWG,J , λ SWG,E , λ SWG,T , λ SWG,C , λ WG→S,H , λ WG→S,R and λ SG→W,D These are the weighting coefficients for the joint access parameters of photovoltaic, wind, and geothermal power, the weighting coefficients for the coordinated efficiency enhancement parameters of photovoltaic, wind, and geothermal power, the weighting coefficients for the temporal complementarity parameters of photovoltaic, wind, and geothermal power, the weighting coefficients for the spatial competition parameters of photovoltaic, wind, and geothermal power, the weighting coefficients for the shading parameters of wind and geothermal power on photovoltaic power, the weighting coefficients for the temperature rise effect of wind and geothermal power on photovoltaic power, and the weighting coefficients for the topographical change parameters of photovoltaic power. and These are the following parameters for the i-th multi-source power generation planning segment unit: photovoltaic-wind-geothermal joint access parameter, photovoltaic-wind-geothermal coordinated efficiency parameter, photovoltaic-wind-geothermal temporal complementarity parameter, photovoltaic-wind-geothermal spatial competition parameter, wind-geothermal shading parameter for photovoltaic, wind-geothermal temperature rise effect parameter for photovoltaic, and photovoltaic-geothermal topographical change parameter.

[0128] Optional, and The methods for obtaining these parameters can be referenced separately from the photovoltaic and wind power joint access parameter index. Photovoltaic and wind power coordinated efficiency enhancement parameters Photovoltaic and wind power time-series complementary parameters Parameters of wind-induced shading of photovoltaic power And the parameters of photovoltaic effect on wind and topography The method for obtaining it; and The methods for obtaining these parameters can be found by referring to the combined access suitability control factors for photovoltaic and wind power. Suitable control factors for coordinated enhancement of photovoltaic and wind power efficiency Solar-Wind Time-Series Complementarity Suitability Control Factor Wind power suitability control factor for photovoltaic shading And the suitability control factors of photovoltaic power for wind-driven topographic changes The method for obtaining it.

[0129] Optional spatial competition parameters for photovoltaic, wind, and geothermal power. The Solar Wind Geothermic Space Competitives Index (SGC) can be calculated based on the ratio of the minimum distance (D) between photovoltaic (PV) and wind power generation equipment to the safe distance between wind power generation equipment, and the ratio of the minimum distance between geothermal (GEP) and wind power generation equipment to the safe distance between wind power generation equipment. It can be used as a solar-wind space competition suitability control factor for areas where the solar-wind space competition parameters are below a preset solar-wind space competition threshold. (Suitability of Solar Wind Geothermic Space Competitives) is assigned a value of 1, and the solar wind space competitiveness suitability control factor for other regions is... The value is assigned to 0.

[0130] Optional parameters for the effect of wind and geothermal energy on photovoltaic temperature rise. The Wind Geothermic to Solor Temperature Rise Index (GFRI) can be calculated based on the reduction coefficient of surface wind speed on photovoltaic (PV) equipment caused by the wake of wind turbines and the cooling coefficient of water supply from geothermal power plants on PV equipment. It identifies areas within the influence zone of the wind turbine wake where the reduction coefficient of surface wind speed on PV equipment is below a preset wake wind speed threshold and the cooling coefficient of water supply from geothermal power plants is below a preset cooling coefficient threshold, thus determining the suitability control factor for the wind-geothermic to PV temperature rise effect. (Suitability of Wind Geothermic To Solor Temperature Rise) is set to 0, and other regions... The value is assigned to 1.

[0131] Optionally, the cooling coefficient of the geothermal power plant's water supply to the photovoltaic power generation equipment can be obtained based on the amount of cooling water that the geothermal power plant can supply.

[0132] As an illustration, the local absorption parameters of a combined photovoltaic, wind, and geothermal power plant can be calculated based on the electrical load of the equipment and the distance between the equipment and the plant. (Solar Wind Geothermic Local Consumption Index), and a solar wind-geothermic combined power station local consumption suitability control factor for areas where the electrical load of the electrical equipment and the distance between the electrical equipment and the solar wind-geothermic combined power station are greater than the preset solar wind-geothermic combined distance threshold. (Suitability of Solor Wind Geothermic Local Consumption) is set to 0, and the suitability control factor for the combined local consumption of solar, wind, and geothermal energy in other areas is... The value is assigned to 1.

[0133] Indicative, it can be based on photovoltaic grid connection potential parameters. Parameters of wind power grid connection potential Geothermal grid connection potential parameters Calculate the potential parameters for grid connection of photovoltaic, wind, and geothermal power plants based on the distance between the grid connection point and the combined photovoltaic, wind, and geothermal power plant. (Solar Wind Geothermic Grid Connection Index), and the distance between the grid connection point and the photovoltaic-wind-geothermic combined power station is greater than the preset grid connection distance threshold for the photovoltaic-wind-geothermic combined power station. Less than Less than or Less than Regional suitability control factors for integrated grid connection of photovoltaic, wind, and geothermal power. The suitability control factor for the combined grid connection potential of solar, wind, and geothermal power in other regions is set to 1.

[0134] For example, λ can be determined based on the impact of multi-source planning parameters on the combined photovoltaic, wind, and geothermal power generation. SWG,J , λ SWG,E , λ SWG,T , λ SWG,C , λ WG→S,H , λ WG→S,R and λ SG→W,D The values ​​were set to 0.32, 0.2, 0.22, 0.12, 0.06, 0.05, and 0.03, respectively.

[0135] Furthermore, the calculation formula for the suitability index of photovoltaic, wind, and geothermal combined power generation can include local consumption parameters for photovoltaic, wind, and geothermal combined power generation. Potential parameters for integrated grid connection of photovoltaic, wind, and geothermal power Suitable control factor for local consumption of photovoltaic, wind and geothermal power Suitable control factor for the potential of integrated grid connection of photovoltaic, wind and geothermal power The weighting coefficient λ of the combined local consumption parameters of photovoltaic, wind, and geothermal power SWG,LC The weighting coefficient λ of the potential parameters for grid connection of photovoltaic, wind, and geothermal power. SWG,G At this point, λ can be adjusted based on the impact of multi-source planning parameters on the combined photovoltaic, wind, and geothermal power generation. SWG,J , λ SWG,E , λ SWG,T , λ SWG,C , λ WG→S,H , λ WG→S,R , λ SG→W,D , λ SWG,LC and λ SWG,G The values ​​were set to 0.3, 0.2, 0.2, 0.1, 0.04, 0.04, 0.02, 0.04, and 0.06 respectively.

[0136] In one exemplary embodiment, such as Figure 7 As shown, another method for laying out a photovoltaic power station on a highway slope is provided, including the following steps S701 to S712. Wherein:

[0137] Step S701: Obtain the geographical environment parameters of the multi-source power generation planning road segment unit and the multi-source power generation planning road segment unit.

[0138] Step S702: Based on the geographical environment parameters, calculate the multi-source planning parameter index and the corresponding multi-source suitability control factor for the multi-source power generation planning section unit.

[0139] Step S703: Calculate the multi-source power generation suitability index of the multi-source power generation planning segment unit based on the multi-source planning parameter indicators and multi-source suitability control factors.

[0140] Step S704: Based on the photovoltaic power generation suitability index, obtain the photovoltaic power station layout characteristic information of the target road segment unit for the layout of photovoltaic power stations on highway slopes and the photovoltaic power station layout characteristic information of the target road segment unit for the layout of photovoltaic power stations on highway slopes.

[0141] Step S705: Generate an initial layout plan for the photovoltaic power station on the highway slope based on the target road segment unit and the layout characteristics of the photovoltaic power station.

[0142] Step S706: Based on the wind power generation suitability index, obtain the wind power station layout characteristic information of the target road segment unit for the layout of wind power stations on highway slopes and the wind power station layout characteristic information of the target road segment unit for the layout of wind power stations on highway slopes.

[0143] Step S707: Generate an initial roadside wind power station layout plan based on the target road segment unit and wind power station layout feature information.

[0144] Step S708: Based on the layout feature information of photovoltaic power stations, the layout feature information of wind power stations, the initial layout plan of photovoltaic power stations on highway slopes and the initial layout plan of wind power stations on highway slopes, generate the layout plan of photovoltaic power stations on highway slopes, the layout plan of wind power stations on highway slopes and the layout plan of combined photovoltaic and wind power stations on highway slopes.

[0145] Step S709: Based on the geothermal power generation suitability index, obtain the geothermal power plant layout characteristic information of the target road segment unit for highway slope geothermal power plant layout and the geothermal power plant layout characteristic information of the target road segment unit for highway slope geothermal power plant layout.

[0146] Step S710: Generate an initial roadside geothermal power station layout plan based on the target road segment unit and geothermal power station layout characteristics information.

[0147] Step S711: Based on the initial layout plan of the highway slope geothermal power station, the layout plan of the highway slope photovoltaic power station, the layout plan of the highway slope wind power station, and the multi-source suitability control factors, generate the layout plan of the combined photovoltaic, wind and geothermal power station on the highway slope.

[0148] Step S712: Integrate the layout plans of photovoltaic power stations, wind power stations, photovoltaic power stations, combined photovoltaic, wind and geothermal power stations, and combined photovoltaic and wind power stations on highway slopes to generate a multi-source layout plan for highway slopes.

[0149] The above-mentioned layout method for photovoltaic power stations on highway slopes can make full use of the spatial resources of highway slopes and achieve complementarity of multiple energy sources by integrating the layout planning of photovoltaic, wind and geothermal power generation.

[0150] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0151] Based on the same inventive concept, this application also provides a highway slope photovoltaic power station layout system for implementing the above-mentioned highway slope photovoltaic power station layout method. The solution provided by this system is similar to the implementation solution described in the above method. Therefore, the specific limitations of one or more highway slope photovoltaic power station layout system embodiments provided below can be found in the limitations of the highway slope photovoltaic power station layout method above, and will not be repeated here.

[0152] In one exemplary embodiment, such as Figure 8 As shown, a highway slope photovoltaic power station layout system 800 is provided, including:

[0153] The partitioning module 801 can be used to obtain the geographical environment parameters of the multi-source power generation planning road segment unit and the multi-source power generation planning road segment unit;

[0154] The parameter calculation module 802 can be used to calculate the multi-source planning parameter indicators and the corresponding multi-source suitability control factors of the multi-source power generation planning segment unit based on geographical environment parameters. The multi-source planning parameter indicators include photovoltaic planning parameter indicators and wind power planning parameter indicators.

[0155] The index calculation module 803 can be used to calculate the multi-source power generation suitability index of the multi-source power generation planning segment unit based on multi-source planning parameter indicators and multi-source suitability control factors. The multi-source power generation suitability index includes the photovoltaic power generation suitability index and the wind power generation suitability index.

[0156] The layout planning module 804 can be used to generate multi-source layout planning for highway slopes based on the multi-source power generation suitability index. The multi-source power station layout planning for highway slopes includes the layout planning of photovoltaic power stations and the layout planning of wind power stations on highway slopes.

[0157] In an optional embodiment, the layout planning module 804 can also be used to: obtain the target road segment unit for the layout of photovoltaic power stations on highway slopes and the layout feature information of photovoltaic power stations on highway slopes based on the photovoltaic power generation suitability index; generate an initial layout plan for photovoltaic power stations on highway slopes based on the target road segment unit for the layout of photovoltaic power stations and the layout feature information of photovoltaic power stations on highway slopes; obtain the target road segment unit for the layout of wind power stations on highway slopes and the layout feature information of wind power stations on highway slopes based on the wind power generation suitability index; generate an initial layout plan for wind power stations on highway slopes based on the target road segment unit for the layout of wind power stations on highway slopes and the layout feature information of wind power stations; and generate a multi-source layout plan for highway slopes based on the photovoltaic power station layout feature information, the wind power station layout feature information, the initial layout plan for photovoltaic power stations on highway slopes, and the initial layout plan for wind power stations on highway slopes.

[0158] In an optional embodiment, the layout planning module 804 can also be used to: determine the target road segment unit for the combined photovoltaic and wind power station layout on the highway slope based on the target road segment unit for the wind power station layout on the highway slope and the target road segment unit for the photovoltaic power station layout on the highway slope; update the photovoltaic and wind power station combined power generation suitability index according to the photovoltaic power station layout feature information and wind power station layout feature information of the target road segment unit for the combined photovoltaic and wind power station layout on the highway slope; generate the photovoltaic and wind power station combined power station layout feature information based on the updated photovoltaic and wind power station combined power generation suitability index, and generate the initial highway slope photovoltaic and wind power station combined power station layout plan based on the photovoltaic and wind power station combined power station layout feature information; and generate the highway slope photovoltaic power station layout plan, the highway slope wind power station layout plan, and the highway slope photovoltaic and wind power station combined power station layout plan as part of the multi-source layout plan for the highway slope.

[0159] In an optional embodiment, the layout planning module 804 can also be used to: obtain the geothermal power plant layout feature information of the target road segment unit and the geothermal power plant layout feature information of the target road segment unit based on the geothermal power generation suitability index; generate an initial highway slope geothermal power plant layout plan based on the target road segment unit and the geothermal power plant layout feature information; and generate a combined highway slope photovoltaic, wind power and geothermal power plant layout plan based on the initial highway slope geothermal power plant layout plan, the highway slope photovoltaic power plant layout plan, the highway slope wind power plant layout plan and the multi-source suitability control factor.

[0160] In one embodiment, a power generation device is provided, which includes a photovoltaic power generation module and a wind power generation module, and the power generation device is implemented based on the methods in the above-described method embodiments.

[0161] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the aforementioned method for the layout of a photovoltaic power station on a highway slope.

[0162] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0163] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0164] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.

Claims

1. A method for arranging photovoltaic power stations on highway slopes, characterized in that, The method includes: Obtain the geographical environment parameters of the multi-source power generation planning road segment unit and the multi-source power generation planning road segment unit; Based on the geographical environment parameters, calculate the multi-source planning parameter index and the multi-source suitability control factor corresponding to the multi-source power generation planning section unit. The multi-source planning parameter index includes photovoltaic planning parameter index and wind power planning parameter index. Based on the multi-source planning parameter indicators and the multi-source suitability control factors, the multi-source power generation suitability index of the multi-source power generation planning segment unit is calculated. The multi-source power generation suitability index includes the photovoltaic power generation suitability index and the wind power generation suitability index. Based on the multi-source power generation suitability index, a multi-source layout plan for highway slopes is generated. The multi-source power station layout plan for highway slopes includes a photovoltaic power station layout plan and a wind power station layout plan for highway slopes. The step of generating a multi-source layout plan for highway slopes based on the multi-source power generation suitability index includes: Based on the photovoltaic power generation suitability index, obtain the target road segment unit for the layout of photovoltaic power stations on highway slopes and the photovoltaic power station layout characteristic information of the target road segment unit for the layout of photovoltaic power stations on highway slopes; Based on the target road segment units for the layout of the photovoltaic power station on the highway slope and the layout feature information of the photovoltaic power station, an initial layout plan for the photovoltaic power station on the highway slope is generated. Based on the wind power suitability index, obtain the target road segment unit for the layout of wind power stations on highway slopes and the wind power station layout feature information of the target road segment unit for the layout of wind power stations on highway slopes; Based on the target road segment units for the layout of wind power stations on highway slopes and the layout feature information of the wind power stations, an initial layout plan for wind power stations on highway slopes is generated. Based on the photovoltaic power station layout feature information, the wind power station layout feature information, the initial highway slope photovoltaic power station layout plan, and the initial highway slope wind power station layout plan, the highway slope multi-source layout plan is generated; The formula for calculating the wind power suitability index is as follows: In the formula, The wind power suitability index is the planning road segment unit of the i-th multi-source power generation. and These are the wind energy resource reserve suitability control factors, wind speed suitability control factors, wind direction suitability control factors, wind power topography suitability control factors, wind power environmental protection suitability control factors, wind power local consumption suitability control factors, and wind power grid connection potential suitability control factors for the i-th multi-source power generation planning segment unit, respectively; λ WR , λ WV , λ WA , λ WS , λ WE , λ WL and λ WG These are the weighting coefficients for wind energy resource reserves, wind speed, wind direction, wind power topography, wind power environmental protection, local wind power consumption, and wind power grid connection potential. and These are the wind energy resource parameters, wind speed parameters, wind direction parameters, wind power topography parameters, wind power environmental protection parameters, wind power local consumption parameters, and wind power grid connection potential parameters for the i-th multi-source power generation planning segment unit.

2. The method according to claim 1, characterized in that, The multi-source power generation suitability index includes a photovoltaic and wind power combined power generation suitability index; the multi-source layout planning of highway slopes includes a layout planning of photovoltaic and wind power combined power stations on highway slopes; the generation of the multi-source layout planning of highway slopes based on the layout feature information of the photovoltaic power station, the layout feature information of the wind power station, the initial layout planning of the photovoltaic power station on highway slopes, and the initial layout planning of the wind power station on highway slopes includes: Based on the target road segment units for the layout of wind power stations on highway slopes and the target road segment units for the layout of photovoltaic power stations on highway slopes, the target road segment units for the layout of combined photovoltaic and wind power stations on highway slopes are determined. The photovoltaic and wind power combined power station layout characteristic information of the target road segment unit for the layout of the photovoltaic and wind power combined power station on the highway slope is updated according to the photovoltaic power station layout characteristic information and the wind power station layout characteristic information. Based on the updated photovoltaic-wind power generation suitability index, photovoltaic-wind power plant layout feature information is generated, and based on the photovoltaic-wind power plant layout feature information, an initial highway slope photovoltaic-wind power plant layout plan is generated. Based on the initial highway slope photovoltaic power station layout plan, the initial highway slope wind power station layout plan, and the initial highway slope photovoltaic-wind power combined power station layout plan, the highway slope multi-source layout plan is generated, which includes the highway slope photovoltaic power station layout plan, the highway slope wind power station layout plan, and the highway slope photovoltaic-wind power combined power station layout plan.

3. The method according to claim 2, characterized in that, The formula for calculating the suitability index of the combined photovoltaic and wind power generation is as follows: In the formula, The suitability index for combined photovoltaic and wind power generation for the i-th multi-source power generation planning segment unit; and These are, respectively, the suitability control factors for the joint access of photovoltaic and wind power, the suitability control factors for coordinated efficiency enhancement of photovoltaic and wind power, the suitability control factors for temporal complementarity of photovoltaic and wind power, the suitability control factors for spatial competition between photovoltaic and wind power, the suitability control factors for wind power shading of photovoltaic power, the suitability control factors for wind power temperature rise effect of photovoltaic power, and the suitability control factors for photovoltaic power to wind power topographic change for the i-th multi-source power generation planning road segment unit; λ SW,J , λ SW,E , λ SW,T , λ SW,C , λ W→S,H , λ W→S,R and λ S→W,D These are the weighting coefficients for the photovoltaic and wind power joint access parameters, the weighting coefficients for the photovoltaic and wind power coordination and efficiency enhancement parameters, the weighting coefficients for the photovoltaic and wind power temporal complementarity parameters, the weighting coefficients for the photovoltaic and wind power spatial competition parameters, the weighting coefficients for the wind power shading parameters of photovoltaics, the weighting coefficients for the wind power temperature rise effect parameters of photovoltaics, and the weighting coefficients for the photovoltaic power topography change parameters. and These are the photovoltaic and wind power joint access parameters, photovoltaic and wind power coordination and efficiency enhancement parameters, photovoltaic and wind power temporal complementarity parameters, photovoltaic and wind power spatial competition parameters, wind power shading parameters, wind power temperature rise effect parameters, and photovoltaic power topographical change parameters for the i-th multi-source power generation planning road segment unit.

4. The method according to any one of claims 1 to 3, characterized in that, The multi-source power generation planning road segment unit includes a geothermal planning area, the multi-source planning parameter index includes a geothermal planning parameter index, the multi-source suitability control factor includes a geothermal suitability control factor, the multi-source power generation suitability index includes a geothermal power generation suitability index, and the highway slope multi-source power station layout plan includes a highway slope geothermal power station layout plan.

5. The method according to claim 4, characterized in that, The multi-source layout planning for highway slopes includes the layout planning of combined photovoltaic, wind, and geothermal power plants on highway slopes. The generation of the multi-source layout plan for highway slopes based on the multi-source power generation suitability index also includes: Based on the geothermal power generation suitability index, obtain the target road segment unit for the layout of geothermal power stations on highway slopes and the geothermal power station layout feature information of the target road segment unit for the layout of geothermal power stations on highway slopes; Based on the target road segment unit for the highway slope geothermal power station layout and the geothermal power station layout feature information, an initial highway slope geothermal power station layout plan is generated. Based on the initial highway slope geothermal power plant layout plan, the highway slope photovoltaic power plant layout plan, the highway slope wind power plant layout plan, and the multi-source suitability control factors, the highway slope photovoltaic, wind, and geothermal combined power plant layout plan is generated.

6. The method according to claim 4, characterized in that, The formula for calculating the geothermal power generation suitability index is as follows: In the formula, The geothermal power generation suitability index is the i-th multi-source power generation planning segment unit. and These are the geothermal resource reserve suitability control factors, geothermal temperature suitability control factors, geological condition suitability control factors, geothermal reservoir burial depth suitability control factors, geothermal environmental protection suitability control factors, local geothermal power consumption suitability control factors, and geothermal power grid connection potential suitability control factors for the i-th multi-source power generation planning section unit, respectively; λ GR , λ GT , λ GS , λ GD , λ GE , λ GL and λ GG These are the weighting coefficients for geothermal resource reserves, geothermal temperature, geological conditions, geothermal reservoir depth, geothermal environmental protection, local consumption of geothermal power, and geothermal power grid connection potential. and These are the geothermal resource reserve parameters, geothermal temperature parameters, geological condition parameters, geothermal reservoir burial depth parameters, geothermal environmental protection parameters, local geothermal power consumption parameters, and geothermal power grid connection potential parameters for the i-th multi-source power generation planning section unit.

7. A layout system for a photovoltaic power station on a highway slope, characterized in that, The system includes various functional modules required to implement the method of any one of claims 1 to 6.

8. A power generation device, characterized in that, The power generation device includes a photovoltaic power generation module and a wind power generation module, and the power generation device is arranged based on the method described in any one of claims 1 to 6.

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