Power generation effect evaluation method based on distributed photovoltaic power station component installation method

Abstract

The present invention belongs to the technical field of power generation effect analysis of photovoltaic panel assembly installation, and specifically discloses a power generation effect evaluation method based on a distributed photovoltaic power station assembly installation method, including: quantifying the power generation effect of photovoltaic panels under various layout modes by simulating and analyzing the light receiving rate and light obstruction coefficient under different orientation modes, different distance arrangement modes, and different height step modes before actual construction, thereby avoiding the problems of waste of construction costs and low power generation efficiency due to improper design; constructing different combination mode sets, analyzing the power generation effect evaluation coefficient of each combination mode set, and determining the recommended installation mode of the photovoltaic power station accordingly; constructing a photovoltaic power station power generation effect database, matching the geographical structure data of the target power station with the structural data of each category in the database, to determine the recommended installation mode of the target photovoltaic power station, and quickly screening out the installation mode suitable for the target power station.

Description

Technical Field

[0001] The present invention belongs to the technical field of power generation effect analysis of photovoltaic panel assembly installation, and relates to a power generation effect evaluation method based on a distributed photovoltaic power station assembly installation method. Background Art

[0002] As the demand for renewable energy continues to grow, distributed photovoltaic power stations, as a clean and renewable energy form, are gradually becoming an important part of power supply. Distributed photovoltaic power stations have the advantages of flexible construction, close to the user side, low transmission loss, and significant environmental benefits, so they have been widely used around the world. However, the power generation effect of distributed photovoltaic power stations is affected by many factors, among which the installation method of components is a key factor.

[0003] Different installation methods not only affect the light conditions and power generation efficiency of photovoltaic modules, but also directly affect the overall operation stability and maintenance cost of the power station. Therefore, how to scientifically and accurately evaluate the power generation effect under different installation methods is of great significance for optimizing the design of distributed photovoltaic power stations, improving power generation efficiency and reducing operating costs.

[0004] At present, there are some limitations in the current evaluation methods of photovoltaic power station power generation effects. For example, on the one hand, the evaluation of photovoltaic power station power generation effects often relies on fixed layout modes, lacks systematic simulation analysis and quantitative evaluation, which may lead to strong subjectivity in the evaluation results, difficulty in data acquisition and low analysis accuracy. At the same time, due to the lack of comprehensive simulation and theoretical calculation support, existing technologies are difficult to provide strong support for the optimization design, operation management and performance improvement of distributed photovoltaic power stations.

[0005] On the other hand, without a complete database support, designers and managers of photovoltaic power stations often need to conduct tedious on-site surveys and simulation analyses to determine the optimal installation mode, which is not only time-consuming and labor-intensive, but also easily leads to waste of construction costs and low power generation efficiency due to improper design. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a power generation effect evaluation method based on the installation mode of distributed photovoltaic power station components is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a method for evaluating the power generation effect based on the installation method of distributed photovoltaic power station components, the method comprising the following steps: tep1, obtaining the benchmark construction data of the photovoltaic power station, including photovoltaic panel structure data and photovoltaic power station geographical structure data, the geographical structure data including terrain data, spatial data, and local terrain features, importing them into the simulation software for scene simulation, simulating the sunlight exposure environment, and extracting the light trend intensity under the benchmark construction data.

[0008] tep2. Construct a specified number of photovoltaic panels, numbered 1, 2, …i …, a, use the specified distance mode as the photovoltaic panel distance layout mode, use the specified height gradient mode as the photovoltaic panel height gradient layout mode, simulate the component installation of each photovoltaic panel according to each orientation mode, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each orientation mode.

[0009] tep3. Change the installation distance and height of each photovoltaic panel, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each distance arrangement mode and each height step mode.

[0010] tep4. Construct each combination mode set, analyze the power generation effect evaluation coefficient of each combination mode set, determine the recommended installation mode to which the benchmark construction data of the photovoltaic power station belongs, and construct the photovoltaic power station power generation effect database.

[0011] tep5. Obtain the geographical structure data of the target PV power station, preliminarily screen the installation mode matching set, and determine the recommended installation mode of the target PV power station.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) Before actual construction, the present invention simulates and analyzes the light reception rate and light obstruction coefficient in different orientation modes, different distance arrangement modes, and different height step modes, and combines theoretical calculations and model simulations to quantitatively evaluate the power generation effect of photovoltaic panels in various layout modes, thereby avoiding the problems of construction cost waste and low power generation efficiency caused by improper design.

[0013] (2) The present invention constructs different combination mode sets and analyzes the power generation effect evaluation coefficients of each combination mode set, so as to provide a scientific basis for decision makers to determine the recommended installation mode of the photovoltaic power station. This helps to select an installation mode that is more suitable for the environment and ensure that the photovoltaic power station can operate stably under various conditions, thereby improving the scientificity and accuracy of decision-making.

[0014] (3) The present invention determines the recommended installation mode of the target photovoltaic power station by constructing a photovoltaic power station power generation effect database and matching the geographical structure data of the target power station with the structural data of each category in the database. This can quickly screen out the installation mode suitable for the target power station, reduce design time and labor costs, and help predict the power generation effect under the recommended installation mode, thereby helping to evaluate and optimize the design solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention provides a method for evaluating power generation effects based on a distributed photovoltaic power station component installation method, the method comprising the following steps: tep1, obtaining benchmark construction data of the photovoltaic power station, including photovoltaic panel structure data and photovoltaic power station geographic structure data, the photovoltaic panel structure data including photovoltaic panel size and power, the geographic structure data including terrain data, spatial data, and local terrain features, importing them into scene simulation software, simulating the sunlight exposure environment, and extracting the light trend intensity under the benchmark construction data.

[0019] In a preferred embodiment, the extraction of light trend intensity under benchmark construction data is specifically as follows: terrain data is extracted from the benchmark construction data of the photovoltaic power station, and the terrain data of the photovoltaic power station construction site, such as geographical longitude and latitude, terrain altitude, and seasonal change data, is imported into simulation software, and the light change path under the benchmark construction data is simulated according to the seasonal change data, and then the light trend intensity under the benchmark construction data is derived.

[0020] The seasonal variation data refers to the sunshine position and sunshine duration in each season at the geographical longitude and latitude of the photovoltaic power station construction site.

[0021] The illumination change path refers to the trajectory of the sun's position change relative to the photovoltaic power station construction site at each sunshine time point in a day.

[0022] tep2. Construct a specified number of photovoltaic panels, numbered 1, 2, …i …, a, use the specified distance mode as the photovoltaic panel distance layout mode, use the specified height gradient mode as the photovoltaic panel height gradient layout mode, simulate the component installation of each photovoltaic panel according to each orientation mode, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each orientation mode.

[0023] In a preferred embodiment, the identification of the power generation effect evaluation coefficient of each photovoltaic panel in each orientation mode specifically includes: simulating the component installation of each photovoltaic panel according to each orientation mode at a specified terrain height, and each orientation mode includes each type I angle mode and each type II angle mode.

[0024] The first type of angle modes are different orientation angles of the photovoltaic panel relative to the sun, and the second type of angle modes are different tilt angles of the photovoltaic panel relative to the ground.

[0025] The light receiving intensity of each photovoltaic panel in each type I angle mode and each type II angle mode is derived from the simulation software, and the corresponding ratio of the light trend intensity under the benchmark construction data is obtained, which is recorded as the light receiving rate of each photovoltaic panel in each type I angle mode and each type II angle mode, and the light receiving rate R of each photovoltaic panel in each orientation mode is calculated. id , d is the number of the orientation mode, d = 1, 2,…, b.

[0026] Get the photovoltaic panel illumination uniformity index Lu under each orientation mode d and heat accumulation effect index He d , determine the evaluation coefficient of the power generation effect of photovoltaic panels in each orientation mode

[0027] The illumination uniformity index is specifically: a number of monitoring points are evenly set on the photovoltaic panel, numbered 1, 2, ...j..., c, and the illumination receiving area S of each photovoltaic panel at each sunshine time point within the sunshine duration under each orientation mode is derived from the simulation software. dit , the light receiving area S of each photovoltaic panel corresponding to each monitoring point in each orientation mode dij Based on this, the illumination uniformity index of photovoltaic panels under each orientation mode is analyzed. Where S di(t+1) is the light receiving area of ​​the ith photovoltaic panel in the dth orientation mode at the t+1th sunshine time point within the sunshine duration, S di(j+1) is the light receiving area of ​​the i-th photovoltaic panel corresponding to the j+1-th monitoring point in the d-th orientation mode, S1 and S2 are the preset reference difference values ​​of the light receiving areas corresponding to different sunshine time points and the reference difference values ​​of the light receiving areas corresponding to different monitoring point positions, respectively, t is the number of the sunshine time point, t=1,2,…,z, z is the number of sunshine time points, and c is the number of monitoring point positions.

[0028] The heat collection effect index is specifically as follows: the corresponding concentrated heat of the photovoltaic panel construction area under each orientation mode is derived from the simulation software, and it is compared with the preset heat suitable concentration range. When the concentrated heat of a certain orientation mode exceeds the maximum value of the preset heat suitable concentration range, the difference between the concentrated heat of the orientation mode and the maximum value of the preset heat suitable concentration range is extracted, and recorded as the differential heat of the orientation mode; when the concentrated heat of the orientation mode is lower than the minimum value of the preset heat suitable concentration range, the difference between the concentrated heat of the orientation mode and the minimum value of the preset heat suitable concentration range is extracted, and recorded as the differential heat of the orientation mode. The differential heat of each orientation mode is obtained accordingly. Then evaluate the heat collection effect index under each orientation mode Where Q0″ is the preset reference heat difference value.

[0029] tep3. Change the installation distance and height of each photovoltaic panel, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each distance arrangement mode and each height step mode.

[0030] In a preferred embodiment, the power generation effect evaluation coefficient of the photovoltaic panel in each distance arrangement mode and each height step mode includes: B1, taking the specified orientation mode as the photovoltaic panel orientation layout mode, taking the specified height gradient mode as the photovoltaic panel height gradient layout mode, and simulating the component installation of each photovoltaic panel according to each distance arrangement mode in the simulation software, and the distance arrangement mode includes a customized layout mode and a matrix layout mode.

[0031] The customized deployment mode is specifically as follows: placing different numbers of photovoltaic panels in different photovoltaic panel construction areas on the land for component installation.

[0032] The matrix layout mode is specifically: installing each photovoltaic panel component according to a fixed row spacing and column spacing.

[0033] B2. When the distance arrangement mode is a matrix layout mode, identify the spatial plasticity index of the benchmark construction data, compare it with the preset critical range of the spatial plasticity index corresponding to each measurement distance, screen out the benchmark construction data corresponding to each measurement distance, record it as each experimental distance under the matrix layout mode, and then simulate the installation of photovoltaic panels according to each experimental distance, and derive the light reception rate of each photovoltaic panel at each experimental distance in the matrix layout mode.

[0034] B3. When the distance arrangement mode is a customized layout mode, the constructible area of ​​each photovoltaic panel is extracted from the spatial data belonging to the benchmark construction data of the photovoltaic power station, recorded as each frame area, and the area occupied by each frame area is extracted, which is compared with the preset area range corresponding to each test distance, and the frame areas corresponding to each test distance with matching area are screened out. At the same time, the number of photovoltaic panels to be installed in each frame area is determined, and the photovoltaic panel assembly installation simulation is performed to derive the light reception rate of each photovoltaic panel in each frame area at each test distance, and then the corresponding mean of the light reception rate of all photovoltaic panels in all frame areas at each test distance is taken as the light reception rate of all photovoltaic panels at each test distance, that is, the light reception rate of a specified number of photovoltaic panels at each test distance.

[0035] The method of determining the number of photovoltaic panels to be installed in each border area is specifically as follows: obtain the ratio of the floor area of ​​each border area to the combined floor area of ​​all border areas, recorded as the area ratio of each border area, and multiply it by the specified number of photovoltaic panels to obtain the number of photovoltaic panels to be installed in each border area.

[0036] The photovoltaic panel buildable area refers to a land area that covers an area larger than the combined size of several photovoltaic panels.

[0037] B4. The light receiving rate of each photovoltaic panel at each experimental distance in the matrix layout mode and the light receiving rate of each photovoltaic panel of a specified number at each test distance are calculated as the light receiving rate R of each photovoltaic panel at each distance arrangement mode. if , f is the number of the distance arrangement pattern, f = 1, 2,…, v.

[0038] B5. Evaluate the layout complexity λ of each distance arrangement mode f Based on this, the power generation effect evaluation coefficient of photovoltaic panels in various distance arrangement modes is determined

[0039] The specific method of evaluating the layout complexity of each distance arrangement mode is as follows: setting the photovoltaic panel installation difficulty coefficients corresponding to the customized layout mode and the matrix layout mode, and obtaining the distance to which each distance arrangement mode belongs, matching it with the distance range corresponding to each preset laying complexity weight, determining the laying complexity weight corresponding to each distance arrangement mode, multiplying it with the photovoltaic panel installation difficulty coefficient of the corresponding mode, and obtaining the layout complexity of each distance arrangement mode.

[0040] In a further preferred embodiment, the spatial plasticity index of the benchmark construction data is specifically obtained by extracting terrain features from the benchmark construction data of the photovoltaic power station, such as terrain slope, land usable area and continuity indication of land usable area, and the area ratio of surrounding obstacles, and obtaining the ratio between the terrain features and the preset baseline values ​​of the corresponding terrain features, which are recorded as δ1, δ2, δ3, and δ4, respectively, and then analyzing the spatial plasticity index of the benchmark construction data.

[0041] The usable land area is specifically the sum of the land areas of each border area.

[0042] The method for obtaining the continuity indicator of the usable land area is as follows: the area of ​​each border area is recorded as S k , and extract the number of border areas M and the average distance L between all border areas, based on which the continuity indicator of the land useable area is evaluated Wherein S0 is a preset reference area, L0 is a preset reference distance, k is the number of the border area, k=1, 2,…, y, y is the number of the border areas, and e is a natural constant.

[0043] In a further preferred embodiment, the identification of power generation effect evaluation coefficients of photovoltaic panels in various distance arrangement modes and various height step modes also includes: D1, taking a specified orientation mode as a photovoltaic panel orientation layout mode, taking a specified distance mode as a photovoltaic panel distance layout mode, and simulating the component installation of each photovoltaic panel according to each height gradient mode, and each height gradient mode includes a stepped layout mode and a staggered layout mode.

[0044] The step-by-step layout mode is specifically as follows: each photovoltaic panel is maintained at the same horizontal plane, and components are installed at different test heights.

[0045] The staggered layout mode is specifically as follows: the photovoltaic panels are arranged in a stepped manner at different heights to form multiple levels, and there is a fixed vertical interval between the photovoltaic panels of each level and the adjacent levels.

[0046] D2. When the height gradient mode is a step-type layout mode, set each test height and obtain the environmental load stress index ε at each test height of the step-type layout mode. g , evaluate the layout effect compensation factor at each test height of the stepped layout mode g is the number of the test height, g = 1, 2, ..., x, and π is 180 degrees.

[0047] The environmental loads include wind loads, rain and snow loads.

[0048] The environmental load stress index at each test height is obtained by: simulating the environmental load of the photovoltaic power station construction site in the simulation software, and deriving the installation structure vibration amplitude F of each photovoltaic panel at each test height. ig , evaluate the environmental load stress index at each test height Where F0 is the preset reference vibration amplitude, Q is the numerical value of the environmental load simulation in the simulation software, such as wind load corresponds to wind force and wind speed, rain and snow load corresponds to rainfall, and Q0 is the preset environmental load reference value.

[0049] D3. When the height gradient mode is the staggered layout mode, set the height of each gradient level, and obtain the photovoltaic panel illumination uniformity index Lu′ at each gradient level in the same way as the photovoltaic panel illumination uniformity index under each orientation mode. g′ , and the environmental load stress index ε at each gradient level height of the staggered layout mode is obtained in the same way as the environmental load stress index analysis method at each test height of the stepped layout mode g ″, evaluate the layout effect compensation factor at each gradient level height of the staggered layout mode g′ is the number of the gradient level height, g′=1,2,…,x′.

[0050] D4. Derive the light receiving rate of each photovoltaic panel at each test height and each gradient level height, and calculate the light receiving rate R of each photovoltaic panel at each height gradient mode. ih , h is the number of the height gradient mode, h = 1, 2,…, q.

[0051] D5. Calculate the layout effect compensation factors at each test height of the step layout mode and the layout effect compensation factors at each gradient level height of the staggered layout mode to obtain the layout effect compensation factors φ under each height gradient mode. h ″, determine the power generation effect evaluation coefficient of photovoltaic panels in each height gradient mode q is the number of height gradient patterns.

[0052] The present invention simulates and analyzes the light reception rate and light obstruction coefficient in different orientation modes, different distance arrangement modes, and different height step modes before actual construction, and combines theoretical calculation and model simulation to quantitatively evaluate the power generation effect of photovoltaic panels in various layout modes. It not only has the advantages of strong objectivity, convenient data acquisition, and high analysis accuracy, but also can provide strong support for the optimized design, operation management and performance improvement of distributed photovoltaic power stations, thereby avoiding the problems of waste of construction costs and low power generation efficiency due to improper design.

[0053] tep4. Construct each combination mode set, analyze the power generation effect evaluation coefficient of each combination mode set, determine the recommended installation mode to which the benchmark construction data of the photovoltaic power station belongs, and construct the photovoltaic power station power generation effect database.

[0054] In a preferred embodiment, the determination of the recommended installation mode to which the benchmark construction data of the photovoltaic power station belongs is specifically as follows: extracting the modes with the top several power generation effect evaluation coefficients from each orientation mode, each distance arrangement mode and each height step mode, respectively, constructing each combination mode set, including the combination of orientation mode and distance arrangement mode, the combination of orientation mode and height step mode, the combination of distance arrangement mode and height step mode, the combination of orientation mode and distance arrangement mode and height step mode, and the combination of orientation mode and distance arrangement mode and height step mode, and obtaining the light receiving rate R of each photovoltaic panel under each combination mode set in the same manner according to the above analysis steps. im , m is the number of the combination pattern set, m = 1, 2,…, p.

[0055] Get the light obstruction coefficient η for each combination mode set m , analyze the power generation effect evaluation coefficient of each combination mode set By comparison, the combination mode set with the maximum value of the power generation effect evaluation coefficient is selected as the recommended installation mode of the benchmark construction data of the photovoltaic power station.

[0056] The method for obtaining the light obstruction coefficient in each combination mode set is as follows: taking the inverse value of the corresponding product of the photovoltaic panel light uniformity index and the heat collection effect index in each orientation mode as the light risk coefficient of each orientation mode, taking the layout complexity of each distance arrangement mode as the light risk coefficient of each distance arrangement mode, and taking the layout effect compensation factor in each height gradient mode as the light risk coefficient of each height gradient mode. The light risk coefficients in each combination mode set are counted, and the light obstruction coefficient in each combination mode set is obtained by summing them up.

[0057] In a further preferred embodiment, the method of constructing the photovoltaic power station power generation effect database is as follows: according to the analysis method of the recommended installation mode belonging to the benchmark construction data of the photovoltaic power station, the recommended installation modes belonging to different categories of benchmark construction data are analyzed and listed in the same way, and the light obstruction coefficient, light reception rate, and power generation effect evaluation coefficient under each recommended installation mode belonging to different categories of benchmark construction data are counted to construct it into a photovoltaic power station power generation effect database.

[0058] The present invention constructs different combination mode sets and analyzes the power generation effect evaluation coefficients of each combination mode set, so as to provide a scientific basis for decision makers, thereby determining the recommended installation mode of the photovoltaic power station, which helps to select an installation mode that is more adaptable to the environment and ensure that the photovoltaic power station can operate stably under various conditions, thereby improving the scientificity and accuracy of decision-making.

[0059] tep5. Obtain the geographical structure data of the target PV power station, preliminarily screen the installation mode matching set, and determine the recommended installation mode of the target PV power station.

[0060] In a preferred embodiment, the specific content of the preliminary screening of the installation pattern matching set is: matching the geographical structure data of the target photovoltaic power station with the geographical structure data corresponding to each category of benchmark construction data in the photovoltaic power station power generation effect database, identifying the matching degree between the target photovoltaic power station and the geographical structure data corresponding to each category of benchmark construction data, screening out each category of benchmark construction data whose matching degree exceeds a preset matching degree threshold, and recording them as each reference category construction data.

[0061] The specific identification method of the matching degree between the target photovoltaic power station and the geographical structure data corresponding to each category of benchmark construction data is as follows: the geographical longitude and latitude, terrain altitude, and seasonal change data are used as the identification indicators of the terrain data, the area occupied by each border area is used as the identification indicators of the spatial data, the terrain slope, the land usable area and the continuity indicator of the land usable area, and the proportion of the area of ​​surrounding obstacles are used as the identification indicators of each terrain feature, and the terrain data, spatial data, and various terrain features of the photovoltaic power station construction site are respectively compared and subtracted with the terrain data, spatial data, and the identification indicators corresponding to the terrain features of each category of benchmark construction data to obtain the difference amplitude of all identification indicators corresponding to the target photovoltaic power station and the benchmark construction data of each category, and the sum of the difference amplitudes is compared with the preset reference difference amplitude, and then the inverse value of the ratio is recorded as the matching degree of the target photovoltaic power station and the geographical structure data corresponding to the benchmark construction data of each category.

[0062] The recommended installation modes of the construction data of each reference category are listed from the photovoltaic power station power generation effect database and marked as the preliminary screening installation mode matching set.

[0063] In a further preferred embodiment, the determination of the recommended installation mode of the target photovoltaic power station is specifically as follows: the power generation effect evaluation coefficient of the recommended installation mode of each reference category construction data is extracted from the photovoltaic power station power generation effect database, the reference category construction data corresponding to the maximum value is screened out, and the corresponding recommended installation mode is recorded as the recommended installation mode of the target photovoltaic power station.

[0064] The present invention determines the recommended installation mode of the target photovoltaic power station by constructing a photovoltaic power station power generation effect database and matching the geographical structure data of the target power station with the structural data of each category in the database. The installation mode suitable for the target power station can be quickly screened out, reducing design time and labor costs. At the same time, it is helpful to predict the power generation effect under the recommended installation mode and help evaluate and optimize the design scheme.

[0065] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components, characterized in that: The method comprises the following steps: tep1. Obtain the benchmark construction data of the photovoltaic power station, including the photovoltaic panel structure data and the geographic structure data of the photovoltaic power station. The geographic structure data includes terrain data, spatial data, and terrain features of each region. Import the data into the simulation software for scene simulation, simulate the sunlight environment, and extract the light trend intensity under the benchmark construction data; tep2. Construct a specified number of photovoltaic panels, numbered 1, 2, ...i..., a, simulate the assembly installation of each photovoltaic panel according to each orientation mode, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each orientation mode; tep3. Change the installation distance and height of each photovoltaic panel, and identify the power generation effect evaluation coefficient of the photovoltaic panel in each distance arrangement mode and each height step mode; tep4. Construct each combination mode set, analyze the power generation effect evaluation coefficient of each combination mode set, determine the recommended installation mode to which the benchmark construction data of the photovoltaic power station belongs, and construct the photovoltaic power station power generation effect database; Determining the recommended installation mode to which the benchmark construction data of the photovoltaic power station belongs is specifically: extracting the modes with the top several power generation effect evaluation coefficients from each orientation mode, each distance arrangement mode and each height ladder mode, constructing each combination mode set, and obtaining the light receiving rate of each photovoltaic panel under each combination mode set; Obtain the light obstruction coefficient under each combination mode set, analyze the power generation effect evaluation coefficient of each combination mode set, and compare and select the combination mode set with the maximum power generation effect evaluation coefficient as the recommended installation mode of the benchmark construction data of the photovoltaic power station; tep5. Obtain the geographical structure data of the target PV power station, preliminarily screen the installation mode matching set, and determine the recommended installation mode of the target PV power station.

2. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 1 is characterized in that: The method of extracting the light intensity trend under the benchmark construction data is specifically as follows: extracting terrain data from the benchmark construction data of the photovoltaic power station, importing it into simulation software, simulating the light change path under the benchmark construction data, and then deriving the light intensity trend under the benchmark construction data.

3. The power generation effect evaluation method based on the installation mode of distributed photovoltaic power station components according to claim 2 is characterized in that: The identification of the power generation effect evaluation coefficient of each photovoltaic panel in each orientation mode specifically includes: simulating the assembly installation of each photovoltaic panel according to each orientation mode at a specified terrain height, each orientation mode including each first-class angle mode and each second-class angle mode; The light receiving intensity of each photovoltaic panel in each first-class angle mode and each second-class angle mode is derived from the simulation software, and the corresponding ratio of the light trend intensity under the benchmark construction data is obtained, which is recorded as the light receiving rate of each photovoltaic panel in each first-class angle mode and each second-class angle mode, and the light receiving rate of each photovoltaic panel in each orientation mode is counted; The illumination uniformity index and heat collection effect index of the photovoltaic panel under each orientation mode are obtained, and the power generation effect evaluation coefficient of the photovoltaic panel under each orientation mode is determined.

4. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 1, characterized in that: The identification of the power generation effect evaluation coefficient of the photovoltaic panels in each distance arrangement mode and each height step mode includes: B1. Using the specified orientation mode as the photovoltaic panel orientation layout mode and the specified height gradient mode as the photovoltaic panel height gradient layout mode, the component installation simulation of each photovoltaic panel is performed according to each distance arrangement mode in the simulation software. The distance arrangement mode includes a customized layout mode and a matrix layout mode; B2. When the distance arrangement mode is a matrix layout mode, identify the spatial plasticity index of the benchmark construction data, and select the corresponding measurement distances of the benchmark construction data accordingly, record them as the experimental distances under the matrix layout mode, and then perform the photovoltaic panel assembly installation simulation according to the experimental distances, and derive the light receiving rate of each photovoltaic panel at each experimental distance in the matrix layout mode; B3. When the distance arrangement mode is a customized layout mode, the constructible areas of each photovoltaic panel are extracted from the spatial data of the benchmark construction data of the photovoltaic power station, recorded as each frame area, and the area occupied by each frame area is extracted. Based on this, the frame areas corresponding to each test distance with matching area are screened out, and the number of photovoltaic panels to be placed in each frame area is determined. The photovoltaic panel assembly installation simulation is performed, and the light reception rate of each photovoltaic panel in each frame area at each test distance is derived, and the light reception rate of each photovoltaic panel of a specified number at each test distance is constructed; B4. Counting the light receiving rate of each photovoltaic panel at each experimental distance in the matrix arrangement mode and the light receiving rate of each photovoltaic panel of a specified number at each test distance as the light receiving rate of each photovoltaic panel at each distance arrangement mode; B5. Evaluate the layout complexity of each distance arrangement mode, and determine the power generation effect evaluation coefficient of the photovoltaic panel in each distance arrangement mode accordingly.

5. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 4, characterized in that: The spatial plasticity index of the benchmark construction data is specifically obtained by extracting local terrain features from the benchmark construction data of the photovoltaic power station, obtaining the ratio between the local terrain features and the preset baseline value of the corresponding terrain features, and then analyzing the spatial plasticity index of the benchmark construction data.

6. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 4, characterized in that: The identification of the power generation effect evaluation coefficient of the photovoltaic panels in each distance arrangement mode and each height step mode also includes: D1. Using the specified orientation mode as the photovoltaic panel orientation layout mode and the specified distance mode as the photovoltaic panel distance layout mode, simulate the assembly installation of each photovoltaic panel according to each height gradient mode. Each height gradient mode includes a stepped layout mode and a staggered layout mode. D2. When the height gradient mode is a step-type layout mode, set each test height, obtain the environmental load stress index at each test height of the step-type layout mode, and evaluate the layout effect compensation factor at each test height of the step-type layout mode; D3. When the height gradient mode is a staggered layout mode, set the height of each gradient level, obtain the photovoltaic panel illumination uniformity index at each gradient level height, and obtain the environmental load stress index at each gradient level height of the staggered layout mode, and evaluate the layout effect compensation factor at each gradient level height of the staggered layout mode; D4. Derive the light receiving rate of each photovoltaic panel at each test height and each gradient level height, and calculate the light receiving rate of each photovoltaic panel under each height gradient mode; D5. Count the layout effect compensation factors at each test height of the stepped layout mode and the layout effect compensation factors at each gradient level height of the staggered layout mode as layout effect compensation factors under each height gradient mode, and determine the power generation effect evaluation coefficient of the photovoltaic panel under each height gradient mode.

7. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 1, characterized in that: The method for constructing the photovoltaic power station power generation effect database is as follows: according to the analysis method of the recommended installation mode belonging to the benchmark construction data of the photovoltaic power station, the recommended installation modes belonging to different categories of benchmark construction data are analyzed and listed in the same way, and the light obstruction coefficient, light reception rate, and power generation effect evaluation coefficient under each recommended installation mode belonging to different categories of benchmark construction data are counted to construct it into a photovoltaic power station power generation effect database.

8. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 1, characterized in that: The specific content of the preliminary screening of the installation mode matching set is: matching the geographical structure data of the target photovoltaic power station with the geographical structure data corresponding to each category of benchmark construction data in the photovoltaic power station power generation effect database, and screening out each reference category of construction data; The recommended installation modes of the construction data of each reference category are listed from the photovoltaic power station power generation effect database and marked as the preliminary screening installation mode matching set.

9. The method for evaluating power generation effect based on the installation mode of distributed photovoltaic power station components according to claim 1, characterized in that: The determination of the recommended installation mode of the target photovoltaic power station is specifically as follows: extracting the power generation effect evaluation coefficient of the recommended installation mode of each reference category construction data from the photovoltaic power station power generation effect database, screening out the reference category construction data corresponding to the maximum value, and recording the corresponding recommended installation mode as the recommended installation mode of the target photovoltaic power station.

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