CN113269740B - Photovoltaic power station installation capacity determination method, device and storage medium - Google Patents
Photovoltaic power station installation capacity determination method, device and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and a storage medium for determining the installation capacity of a photovoltaic power station, wherein the method for determining the installation capacity of the photovoltaic power station comprises the following steps: acquiring mountain information of each sub-region of a target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information; determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time; taking the sum of the effective areas of the subareas with the shadow degree not exceeding a preset threshold value in the preset time length as the effective area of the target mountain area; and determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area. The method, the device and the storage medium for determining the installation capacity of the photovoltaic power station can accurately determine the effective area of the mountain area, so that the installation capacity of the photovoltaic power station can be accurately determined.
Description
Technical Field
The invention relates to the technical field of photovoltaics, in particular to a method and a device for determining installation capacity of a photovoltaic power station and a storage medium.
Background
Photovoltaic (photovoltaics) is a short term for solar Photovoltaic power generation systems (Solar power system), which is a novel power generation system that directly converts solar radiation energy into electrical energy by utilizing the Photovoltaic effect of solar cell semiconductor materials. Photovoltaic is a renewable clean power generation mode, and the development of the photovoltaic industry is greatly in accordance with the development concept of environmental protection.
The photovoltaic system needs to occupy a large-scale field to lay the photovoltaic panel, but land resources in plain areas are very precious, and building a large-scale photovoltaic power station in plain areas wastes land resources and has high cost, so that the photovoltaic industry is developing in mountain areas to build the photovoltaic power station at present. The installation capacity of the photovoltaic power station is mainly influenced by the effective illumination area of the photovoltaic power station component arrangement area. Due to the fact that mountainous terrain is complex and is influenced by factors such as gradient, slope direction and shadow shielding, not all mountain areas are suitable for arrangement of components of the photovoltaic power station. Therefore, before building a photovoltaic power plant in a mountain area, it is necessary to evaluate the available effective area of the destination mountain.
The current mountain effective area evaluation mainly considers the influence of gradient and slope direction, but does not quantitatively analyze influence factors when the mountain is shaded, so that the calculation accuracy of the mountain effective area is reduced, and the determination of the installation capacity of the photovoltaic power station is influenced.
Disclosure of Invention
The invention provides a method, a device and a storage medium for determining the installation capacity of a photovoltaic power station, which can accurately determine the effective area of a mountain area, thereby accurately determining the installation capacity of the photovoltaic power station.
In a first aspect, an embodiment of the present invention provides a method for determining installation capacity of a photovoltaic power station, including:
Acquiring mountain information of each sub-region of a target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information;
Determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
Taking the sum of the effective areas of the subareas with the shadow degree not exceeding a preset threshold value in the preset time length as the effective area of the target mountain area;
And determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
In a possible implementation manner of the first aspect, determining, according to a correspondence between a shadow degree of each sub-region of the target mountain region and a gradient, a slope direction, a latitude, and a time, the shadow degree of each sub-region of the target mountain region within a preset time length includes:
determining the shadow degree of each sub-region of the target mountain region for one year according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
Taking the sum of the effective areas of the subareas with the shadow degree not exceeding the preset threshold value in the preset time length as the effective area of the target mountain area, wherein the method comprises the following steps:
And taking the sum of the effective areas of the subareas with the shadow degree of one year not exceeding the preset threshold value as the effective area of the target mountain area.
In a possible implementation manner of the first aspect, determining the shadow degree of each sub-region of the target mountain region for one year according to the corresponding relationship between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time includes:
multiplying the gradients, the slope directions, the latitudes and the time of each sub-region of the target mountain region at different times in one day with preset weight values respectively, adding, and carrying out normalization processing to obtain the shadow degree of each sub-region of the target mountain region at different times in one day;
Taking the ratio of the number of times when the shadow degree exceeds a preset threshold value at different times in one day of each subarea of the target mountain area to the number of different times in one day as the shadow degree of each subarea of the target mountain area;
And taking the sum of the shadow degrees of each subarea of the target mountain area within one year as the shadow degree of each subarea of the target mountain area within one year.
In one possible implementation manner of the first aspect, multiplying the gradients, the slopes, the latitudes and the time of each sub-region of the target mountain region at a plurality of different times in one day with preset weight values, adding the multiplied products, and performing normalization processing to obtain shadow degrees of each sub-region of the target mountain region at a plurality of different times in one day, where the method includes:
And multiplying the gradient, the slope direction, the latitude and the time of each subarea of the target mountain area at different moments in one day of the illumination time period with preset weight values respectively, adding, and carrying out normalization processing to obtain the shadow degree of each subarea of the target mountain area at different moments in one day.
In a possible implementation manner of the first aspect, taking, as an effective area of the target mountain area, a sum of effective areas of sub-areas in which a shadow degree does not exceed a preset threshold value within a preset time length, includes:
Taking the area of each non-shielding moment in the subarea with the shadow degree of one year not exceeding a preset threshold value as the effective area of each subarea;
And taking the sum of the effective areas of all the subareas of the target mountain area as the effective area of the target mountain area.
In a possible implementation manner of the first aspect, after taking the sum of the effective areas of the sub-areas in which the shadow degree does not exceed the preset threshold value within the preset time length as the effective area of the target mountain area, the method further includes:
and determining the photovoltaic module installation capacity of the target mountain area according to the effective area of the target mountain area.
In a possible implementation manner of the first aspect, acquiring gradient, slope direction and latitude information of each sub-region of the target mountain region includes:
and acquiring an elevation map of the target mountain area, and acquiring gradient, slope direction and latitude information of each sub-area of the target mountain area according to the elevation map.
In a possible implementation manner of the first aspect, determining an installation capacity of a photovoltaic power station on the target mountain based on the effective area includes:
and taking the product of the effective area and the installation capacity of the photovoltaic power station in unit area as the installation capacity of the photovoltaic power station on the target mountain.
In a second aspect, an embodiment of the present invention provides a photovoltaic power station installation capacity determining apparatus, including:
The mountain data acquisition module is used for acquiring mountain information of each sub-region of the target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information;
the shadow degree determining module is used for determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
the effective area calculation module is used for taking the sum of the effective areas of the subareas, the shadow degree of which does not exceed a preset threshold value, in the preset time length as the effective area of the target mountain area;
and the installation capacity determining module is used for determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
In a third aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for determining installation capacity of a photovoltaic power plant as any one of the possible implementations of the first aspect.
According to the photovoltaic power station installation capacity determining method, device and storage medium, firstly, mountain information of all sub-areas of a target mountain area is obtained, the mountain information comprises gradient, slope direction and latitude information, then, according to the corresponding relation between the shadow degree of all the sub-areas of the target mountain area and the gradient, slope direction, latitude and time, the shadow degree of all the sub-areas of the target mountain area in a preset time length is determined, and finally, the sum of effective areas of the sub-areas, in which the shadow degree does not exceed a preset threshold value, in the preset time length is taken as the effective area of the target mountain area, the installation capacity of the photovoltaic power station in the target mountain area is determined based on the effective area, and because the determined effective area of the target mountain area not only considers the influence of mountain gradient, slope direction and other factors on the effective area, but also considers the influence of shadow shielding on the effective area, and the effective area of the mountain area can be reflected more accurately, and therefore the installation capacity of the photovoltaic power station in the mountain area can be determined accurately.
Drawings
Fig. 1 is a flowchart of a method for determining installation capacity of a photovoltaic power station according to an embodiment of the present invention;
fig. 2 is a flowchart of another method for determining installation capacity of a photovoltaic power station according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the shadow level of each sub-region over time;
FIG. 4 is a schematic view of area integration of a shaded region;
Fig. 5 is a schematic structural diagram of a photovoltaic power station installation capacity determining device according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Fig. 1 is a flowchart of a method for determining installation capacity of a photovoltaic power station according to an embodiment of the present invention, where, as shown in fig. 1, the method for determining installation capacity of a photovoltaic power station according to the embodiment includes:
step S101, acquiring mountain information of each sub-region of the target mountain region, where the mountain information includes gradient, slope direction and latitude information.
The photovoltaic power station installation capacity determining method provided by the embodiment is used for calculating and evaluating the effective area of the mountain area. The effective area is the ground area of which the illumination time length meets the expectations and the area meets the area required by building the photovoltaic panel assembly of the photovoltaic power station. The illumination duration of the photovoltaic module meets the expectation, and the illumination duration of the photovoltaic module mounting area reaches a preset time threshold. The time length of the actual illumination of different areas of the mountain per day is different due to different illumination time lengths of different areas per day and different time lengths of the day due to the sun position change and the factors of the shielding. Therefore, the effective area of the area where the illumination time length of each area of the mountain meets the expectations needs to be calculated, and whether the mountain area meets the requirements for building the photovoltaic power station assembly can be determined.
In the present embodiment, it is necessary to first acquire mountain information of each sub-region of the target mountain region, wherein the mountain information includes gradient, slope direction, and latitude information. Because the mountain has frequent change of height, the information such as height, orientation, longitude and latitude of different positions of the mountain is different, the mountain shape can be seen as being composed of a plurality of small blocks, and a plurality of blocks jointly form the whole mountain area. Each different block has different parameters such as slope, direction of slope, etc. Because of the different slopes and directions of the different blocks, the corresponding mountain shadows at different times are also different, and each different block can be called a sub-region of the target mountain region. The gradient of each sub-area of the target mountain area is used for representing the steepness degree of the sub-area, the mountain with different steepness degrees is subjected to different sunlight irradiation degrees, and the installation of the photovoltaic power station assembly is limited by the gradient; the slope direction of each subarea is used for representing the direction of the subarea, and the degree of sunlight irradiation on different slopes is also different, for example, the degree and the duration of sunlight irradiation on the area facing south in the northern hemisphere slope are longer; the latitude of each subarea is used for representing the geographical position of the subarea, the degree of sunlight irradiation received by different latitude areas is also different due to the influence of the position relation of the sun and the earth, and under the condition that the shielding object exists in each subarea, the sunlight irradiation shadow caused by the shielding object is also different in different latitudes.
In the traditional mountain area effective area assessment method, the effective area of each sub-area of the mountain area is determined only by using the gradient and slope direction information of each sub-area of the mountain area, and then the effective areas of the sub-areas of the mountain area are added to obtain the effective area of the mountain area. However, each subregion of the mountain may be shielded to different degrees due to shielding at different times, and if the shielding area is too large, the time of the subregion which should be irradiated by sunlight is shielded by shadow, and the illumination degree is insufficient. And when the illumination degree is insufficient due to shadow shielding of the subregion of the mountain region, the working requirement of the photovoltaic module cannot be met. Therefore, in this embodiment, in addition to the gradient and the slope direction of each sub-region of the target mountain region, it is also necessary to acquire the latitude information of each sub-region of the target mountain region, and then accurately evaluate the effective area of the target mountain region on the premise of considering the degree to which each sub-region is shaded according to the gradient, the slope direction and the latitude information of each sub-region of the mountain region, thereby improving the accuracy of determining the effective area of the target mountain region.
Specifically, a target mountain area elevation map, which is a file characterizing various topographical parameters of the target mountain area, may be first acquired. And then acquiring gradient, slope direction and latitude information of each sub-region of the target mountain region according to the elevation map of the target mountain region.
Step S102, determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time.
After the gradient, the slope direction and the latitude information of each sub-region of the target mountain region are determined, the shadow degree of each sub-region of the target mountain region can be determined according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time. For each sub-area of the target mountain area, the shadow degree of each determined moment can be determined when the gradient, the slope direction and the latitude information are known. And then the shadow degree of each sub-region of the target mountain region in the preset time length can be determined by integrating the shadow degree of each moment in the preset time length. The illumination levels of the sub-areas at different times of the day are time varying due to the effects of the earth's rotation, so the preset length of time to determine the shadow levels of the sub-areas may be at granularity of one day. Or when the influence of the revolution of the earth is further considered, the illumination degrees of the subareas at the same time every day are different, so that the preset time length for determining the shadow degree of each subarea can be granularity with the same time length of one month, one year, three years and the like. The preset time length can be set according to actual demands, and the longer the preset time length is, the higher the evaluation accuracy of the mountain effective area is.
Step S103, taking the sum of the effective areas of the subareas with the shadow degree not exceeding the preset threshold value in the preset time length as the effective area of the target mountain area.
After determining the shadow degree of each subarea of the target mountain area within the preset time length, the shadow degree of each subarea can be respectively judged, if the shadow degree of one subarea within the preset time length exceeds the preset threshold value, the shadow shielding time of the subarea is longer, and therefore the illumination degree and the illumination time length cannot meet the installation requirement of the photovoltaic module. Then, after removing the sub-areas with the shadow degree exceeding the preset threshold value in the preset time length, only the sum of the effective areas of the sub-areas with the shadow degree not exceeding the preset threshold value in the preset time length is used as the effective area of the target mountain area.
The preset threshold value of the shadow degree can be determined according to the working parameters of the photovoltaic module and the construction requirements of the photovoltaic power station. The effective area of each subarea is the ground area of which the illumination time length meets the expectations and the area meets the area required by building the photovoltaic panel assembly of the photovoltaic power station. The effective area of each subarea can be calculated according to any mountain effective area calculation method at present. The effective area of the target mountain area determined in this way not only considers the influence of factors such as mountain gradient, slope direction and the like on the effective area, but also considers the influence of shadow shielding on the effective area, can reflect the effective area of the mountain area more accurately, and provides an accurate reference basis for the construction of the photovoltaic power station assembly.
And step S104, determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
After the effective area of the target mountain is determined, the installation capacity of the photovoltaic power station in the target mountain area can be calculated. The determined effective area considers the influence of factors such as mountain gradient, slope direction and the like on the effective area, and the influence of shadow shielding on the effective area, so that the effective area is an area where the photovoltaic power station assembly can be installed. Then after the installation capacity per unit area of the photovoltaic power plant is determined, the product of the effective area and the installation capacity per unit area of the photovoltaic power plant can be used as the installation capacity of the photovoltaic power plant on the target mountain.
According to the photovoltaic power station installation capacity determining method provided by the embodiment, firstly, gradient, slope direction and latitude information of each subarea of a target mountain area are obtained, then, according to the corresponding relation between the shadow degree of each subarea of the target mountain area and the gradient, slope direction, latitude and time, the shadow degree of each subarea of the target mountain area in the preset time length is determined, and finally, the sum of effective areas of subareas, in which the shadow degree in the preset time length does not exceed a preset threshold value, is taken as the effective area of the target mountain area, the installation capacity of the photovoltaic power station in the target mountain is determined based on the effective area, and as the determined effective area of the target mountain area, the influence of the effective area caused by factors such as mountain gradient and slope direction on the effective area is considered, the effective area caused by shadow shielding is reflected more accurately, so that the installation capacity of the photovoltaic power station in the mountain area can be accurately determined.
Fig. 2 is a flowchart of another method for determining installation capacity of a photovoltaic power station according to an embodiment of the present invention, where, as shown in fig. 2, the method for determining installation capacity of a photovoltaic power station according to the embodiment includes:
step S201, acquiring mountain information of each sub-region of the target mountain region, where the mountain information includes gradient, slope direction and latitude information.
Step S202, determining the shadow degree of each sub-region of the target mountain region for one year according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time.
The main influence on the change of the shadow degree of the mountain is considered to be revolution and rotation of the earth, wherein the rotation of the earth makes the shadow degree different at different times each day, and the revolution of the earth makes the shadow degree different at the same time each day in one year. The sun and the earth have no great change in position change on the same date in different years, so that the shadow degree of each subarea of the target mountain area can be calculated in a year unit to evaluate the effective area of the target mountain area.
Therefore, after the gradient, the slope direction and the latitude information of each sub-region of the target mountain region are acquired, the shadow degree of each sub-region of the target mountain region for one year can be determined according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time. The shadow level of each sub-area for one year reflects the shadow level of each sub-area for one year per day, wherein the shadow level of each day is determined according to the shadow levels at different moments of each day.
In order to determine the shadow degree of each sub-region of the target mountain region for one year, the shadow degree of each sub-region of the target mountain region at a plurality of different moments in one day can be obtained first, then the shadow degree of each sub-region of the target mountain region for one day is determined, and finally the shadow degree of each sub-region of the target mountain region for one year is determined.
Specifically, firstly, multiplying the gradients, the slope directions, the latitudes and the time of each sub-region of the target mountain region at different times in one day with preset weight values respectively, adding the multiplied products, and carrying out normalization processing to obtain the shadow degree of each sub-region of the target mountain region at different times in one day. The shadow degree of each subarea also changes with time because the sunlight irradiation angles at different times of the day are changed due to the influence of the rotation of the earth. Thus, in calculating the one-day shadow level for each sub-region, it is necessary to first obtain the one-day shadow levels at a plurality of times of the day, and then determine the one-day shadow level for each sub-region. Wherein, the more the time of calculating the shadow degree every day, the higher the calculation accuracy of the shadow degree. The intervals between the times of calculating the shadow degree every day may be the same, and the times of calculating the shadow degree every day may be from the sunrise time to the sunset time in consideration of the sunset factor. For example, the shadow level calculation time period per day may be 8:45-15:15 per day, and the time interval is statistical data every 15 minutes. The daily shadow degree calculation time period may be changed according to seasons.
In order to quantitatively calculate the shadow degree of each subarea, preset weight values can be respectively set for the gradient, the slope direction, the latitude and the time, and the shadow degree of each subarea at each moment can be obtained by multiplying the gradient, the slope direction, the latitude and the time parameters at each moment by the corresponding preset weight values and then adding the multiplied parameters. Then, for the convenience of calculation, the calculated shadow degree of each sub-region at each moment can be normalized, wherein the shadow degree of each sub-region at each moment is between 0 and 1, and the closer to 1, the more serious the shadow degree of the current moment is blocked. If the shadow degree is 0, the current time of the subarea is not shielded, and if the shadow is 1, the current time of the subarea is completely shielded.
Specifically, the shadow degree of each sub-region in one day is normalized, that is, the gradient, the slope direction, the latitude and the time of each sub-region in one day at a plurality of different times in the illumination time period of each sub-region in the target mountain region are multiplied by a preset weight value respectively and then added, and the normalization is performed to obtain the shadow degree of each sub-region in the target mountain region in a plurality of different times in one day. The calculation can be based on the following formula:
Azimuth＝T*15
Wherein T represents the moment of time, Representing the geographical latitude, δ representing the latitude of the direct solar point, altitude representing the latitude information, azimuth representing the Azimuth. Sd represents the degree of shading, between 0 and 1. The weight values of slope_rad, aspect_rad, altitude and T are shown, respectively. Through the formula, the shadow degree of different terrain areas at different moments can be calculated.
Fig. 3 is a schematic diagram showing the change of the shadow degree of each sub-region with time, and it can be seen from the graph that the shadow degree of each sub-region changes with time.
Then, the ratio of the number of times when the shadow degree exceeds a preset threshold value at a plurality of different times in one day of each sub-region of the target mountain region to the number of different times in one day is taken as the shadow degree of each sub-region of the target mountain region in one day. The sub-area that is obscured by the shadow will also change over time. And when the shadow degree of a certain time of the same subarea in one day exceeds a certain threshold value, the time is indicated to be the occlusion, and the shadow degree of the subarea in one day is measured according to the proportion of the occlusion times to the total acquisition times of the day. For example, the illumination period is 9:00-15:00, each 15 minutes is a collection time, so that 24 time periods are left in the day, if 6 time periods are blocked in the 24 time periods, the shadow degree is 0.25, and the shadow degree of the block on the day can be obtained. The degree of shading of a day can be expressed in sd day. This in turn gives the degree of shading of each sub-zone of the target mountain area for one day.
Finally, taking the sum of the shadow degrees of each sub-area of the target mountain area in one year as the shadow degree of each sub-area of the target mountain area in one year.
Where sd day represents the one-day shade level of a sub-region, sum sd represents the one-year shade level of each sub-region.
Step S203, taking the sum of the effective areas of the subareas with the shadow degree of one year not exceeding the preset threshold value as the effective area of the target mountain area.
After determining the shadow degree of each sub-region of the target mountain region for one year, the shadow degree of each sub-region can be respectively judged, if the shadow degree of one year of the sub-region exceeds a preset threshold value, the sub-region is considered with one year as granularity, and the shadow is shielded for a long time, so that the illumination degree and the illumination time length cannot meet the installation requirement of the photovoltaic module. Then, after the subregion with the shadow degree exceeding the preset threshold value for one year is removed, the sum of the effective areas of the subregions with the shadow degree not exceeding the preset threshold value for one year is only used as the effective area of the target mountain region.
The degree of shading of the photovoltaic module may be represented by phi, where ρ represents the weight of the loss rate, shadowLoss represents the shadow loss rate, the weight of the loss rate, and the loss rate data may be derived from software analysis. Assuming a threshold, if Sd+.gtoreq.phi represents a greater shadow effect, the sub-region is not mountable with components; sd < phi means that the effect is small and the sub-area can mount components. According to the principle, a shadow degree threshold meeting the design requirement of the photovoltaic system can be calculated, and then available subareas are screened out.
When calculating the effective area of the target mountain area, the area of each non-shielding moment in the subarea with the shadow degree of one year not exceeding the preset threshold value can be firstly used as the effective area of each subarea; and then taking the sum of the effective areas of all the subareas of the target mountain area as the effective area of the target mountain area.
f＝μ*sumsd+τ
Where f represents an area function of the shadow degree of each sub-area, μ is a parameter (set according to the actual environment), and τ is a correction coefficient. According to the formula, the area of the shadow area can be calculated, and after the shadow area of the whole area is calculated, the effective area S areas can be synchronously output.
Fig. 4 is a schematic view of area integration of a shadow area, and as shown in fig. 4, a curve 41 is a change curve of f, and a dark area is an area integration of a shadow area.
Further, based on the above embodiment, after the effective area of the target mountain area is calculated, the photovoltaic module mounting capacity of the target mountain area may be determined according to the effective area of the target mountain area.
IC＝ω*Sareas
Where IC represents the mounting capacity, ω represents the weight of the effective area, i.e., other factors affecting the mounting capacity, such as: materials, component spacing, etc., S areas is the effective area of the target mountain area to be evaluated. As the degree of shading increases, the mounting capacity changes. The shadow degree approaches 0, and the installation capacity of the land increases. The shadow degree is close to 1, which means that the shadow degree of the land is large, and the installation capacity is close to 0.
In different months, the mountain shadow degree also changes along with the change of time, and then the installation capacity changes. Depending on the degree of shading, the installation capacity for different time periods can be evaluated, including:
For the same subarea, the installation capacity of one year is evaluated along with the change of the shadow degree;
for different subareas, the installation capacity of one year is evaluated along with the change of the shadow degree;
the trend of the installed capacity over mountain shadows was evaluated for three, five, and even ten years.
In addition, the relationship between different photovoltaic modules and the shadow degree is different, and the relationship can be calculated according to the formula phi=ρ× ShadowLoss.
And S204, taking the product of the effective area and the installation capacity of the photovoltaic power station per unit area as the installation capacity of the photovoltaic power station on the target mountain.
According to the photovoltaic power station installation capacity determination method provided by the embodiment of the application, through analysis of mountain shadows, the relation between mountain shadows, gradient, slope direction, longitude and latitude and time is provided, and the relation between variables is quantized more accurately. A quantitative relationship is given by analyzing the relationship between mountain shadow degree and installation capacity. The shadow loss rate of the mountain is related to the shadow degree, the effective utilization area is analyzed, and the installation capacity is accurately determined.
Fig. 5 is a schematic structural diagram of a photovoltaic power station installation capacity determining apparatus according to an embodiment of the present invention, where, as shown in fig. 5, the photovoltaic power station installation capacity determining apparatus according to the embodiment includes:
the mountain data acquisition module 51 is configured to acquire mountain information of each sub-region of the target mountain region, where the mountain information includes gradient, slope direction and latitude information; the shadow degree determining module 52 is configured to determine, according to a corresponding relationship between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time, the shadow degree of each sub-region of the target mountain region within a preset time length; the effective area calculating module 53 is configured to take the sum of the effective areas of the sub-areas in which the shadow degree does not exceed the preset threshold value within the preset time length as the effective area of the target mountain area. The installation capacity determining module 54 is configured to determine an installation capacity of the photovoltaic power station on the target mountain based on the effective area.
The photovoltaic power station installation capacity determining device provided in this embodiment is used to execute the photovoltaic power station installation capacity determining method shown in fig. 1, and its implementation principle and technical effects are similar, and will not be described here again.
Further, the shadow degree determining module 52 is specifically configured to determine a shadow degree of each sub-region of the target mountain region for one year according to a corresponding relationship between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time; taking the sum of the effective areas of the subareas with the shadow degree exceeding the preset threshold value in the preset time length as the effective area of the target mountain area, wherein the method comprises the following steps: and taking the sum of the effective areas of the subregions with the shadow degree exceeding the preset threshold value for one year as the effective area of the target mountain region.
The embodiment of the invention also provides a computer readable storage medium, and the program is executed by a processor to realize a method for determining the effective illumination ground area of a complex mountain, and the method comprises the following steps: acquiring mountain information of each sub-region of a target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information; determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time; taking the sum of the effective areas of the subareas with the shadow degree not exceeding a preset threshold value in the preset time length as the effective area of the target mountain area; and determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A photovoltaic power plant installation capacity determination method, characterized by comprising:
Acquiring mountain information of each sub-region of a target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information;
Determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
Taking the sum of the effective areas of the subareas with the shadow degree not exceeding a preset threshold value in the preset time length as the effective area of the target mountain area;
And determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
2. The method according to claim 1, wherein the determining the shadow degree of each sub-region of the target mountain region within a preset time length according to the corresponding relationship between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time comprises:
Determining the shadow degree of each sub-region of the target mountain region for one year according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
taking the sum of the effective areas of the subareas with the shadow degree not exceeding a preset threshold value in the preset time length as the effective area of the target mountain area, wherein the method comprises the following steps:
And taking the sum of the effective areas of the subareas with the shadow degree of one year not exceeding a preset threshold value as the effective area of the target mountain area.
3. The method according to claim 2, wherein determining the shadow degree of each sub-region of the target mountain region for one year according to the corresponding relationship between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude, and the time comprises:
Multiplying the gradients, the slope directions, the latitudes and the time of each sub-region of the target mountain region at different moments in one day with preset weight values respectively, adding, and carrying out normalization processing to obtain the shadow degree of each sub-region of the target mountain region at different moments in one day;
taking the ratio of the number of times when the shadow degree exceeds a preset threshold value at different times in one day of each subarea of the target mountain area to the number of different times in one day as the shadow degree of each subarea of the target mountain area;
and taking the sum of the shadow degrees of each sub-area of the target mountain area in one year as the shadow degree of each sub-area of the target mountain area in one year.
4. The method according to claim 3, wherein multiplying the gradients, the slopes, the latitudes and the time of each sub-region of the target mountain region at a plurality of different times in one day with preset weight values, and adding the multiplied values, and performing normalization processing to obtain the shadow degree of each sub-region of the target mountain region at a plurality of different times in one day, and the method comprises:
And multiplying the gradients, the slope directions, the latitudes and the time of the illumination time periods in one day of each subarea of the target mountain area with preset weight values respectively, adding the multiplied products, and carrying out normalization processing to obtain the shadow degree of each subarea of the target mountain area in the different times in one day.
5. The method according to any one of claims 2 to 4, wherein said taking as the effective area of the target mountain area the sum of the effective areas of the sub-areas where the shadow degree does not exceed the preset threshold value for the preset time period, comprises:
Taking the area of each non-shielding moment in the subarea with the shadow degree of one year not exceeding a preset threshold value as the effective area of each subarea;
And taking the sum of the effective areas of all the subareas of the target mountain area as the effective area of the target mountain area.
6. The method according to any one of claims 1 to 4, wherein the step of taking, as the effective area of the target mountain area, a sum of effective areas of sub-areas where the degree of shading does not exceed a preset threshold value for a preset period of time, further comprises:
And determining the photovoltaic module installation capacity of the target mountain area according to the effective area of the target mountain area.
7. The method of any one of claims 1-4, wherein the obtaining slope, slope direction and latitude information for each sub-region of the target mountain region comprises:
And acquiring an elevation map of the target mountain area, and acquiring gradient, slope direction and latitude information of each sub-area of the target mountain area according to the elevation map.
8. The method of any one of claims 1-4, wherein determining the installation capacity of a photovoltaic power plant at the target mountain based on the effective area comprises:
And taking the product of the effective area and the installation capacity of the photovoltaic power station in unit area as the installation capacity of the photovoltaic power station on the target mountain.
9. A photovoltaic power plant installation capacity determining apparatus, characterized by comprising:
The mountain data acquisition module is used for acquiring mountain information of each sub-region of the target mountain region, wherein the mountain information comprises gradient, slope direction and latitude information;
the shadow degree determining module is used for determining the shadow degree of each sub-region of the target mountain region in a preset time length according to the corresponding relation between the shadow degree of each sub-region of the target mountain region and the gradient, the slope direction, the latitude and the time;
the effective area calculation module is used for taking the sum of the effective areas of the subareas, the shadow degree of which does not exceed a preset threshold value, in the preset time length as the effective area of the target mountain area;
And the installation capacity determining module is used for determining the installation capacity of the photovoltaic power station on the target mountain based on the effective area.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the photovoltaic power plant installation capacity determination method according to any one of claims 1 to 8.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310283A (en) * | 2013-04-28 | 2013-09-18 | 国家电网公司 | Site selection method for wind-solar hybrid power station |
| CN103440598A (en) * | 2013-09-08 | 2013-12-11 | 云南师范大学 | Mountainous region photovoltaic power station addressing method based on DEM data |
| CN103559738A (en) * | 2013-10-17 | 2014-02-05 | 河北能源工程设计有限公司 | Mountain land photovoltaic power station arrangement method |
| CN106447231A (en) * | 2016-11-01 | 2017-02-22 | 中国能源建设集团江苏省电力设计院有限公司 | Method of calculating the time without shielding of shadow for photovoltaic assembly for photovoltaic power generation project |
| KR101940313B1 (en) * | 2018-03-10 | 2019-01-18 | 전주비전대학교산학협력단 | Appropriate location selection method of solar photovoltaic power station using aerial laser scanning data processing and space analysis technique |
| CN112035540A (en) * | 2020-08-21 | 2020-12-04 | 国核电力规划设计研究院重庆有限公司 | Complex terrain solar energy resource measuring method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101943924B1 (en) * | 2018-03-20 | 2019-01-30 | 김종해 | Method and system apparatus for vertical installation of solar cell panel. |
-
2021
- 2021-05-19 CN CN202110546679.4A patent/CN113269740B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310283A (en) * | 2013-04-28 | 2013-09-18 | 国家电网公司 | Site selection method for wind-solar hybrid power station |
| CN103440598A (en) * | 2013-09-08 | 2013-12-11 | 云南师范大学 | Mountainous region photovoltaic power station addressing method based on DEM data |
| CN103559738A (en) * | 2013-10-17 | 2014-02-05 | 河北能源工程设计有限公司 | Mountain land photovoltaic power station arrangement method |
| CN106447231A (en) * | 2016-11-01 | 2017-02-22 | 中国能源建设集团江苏省电力设计院有限公司 | Method of calculating the time without shielding of shadow for photovoltaic assembly for photovoltaic power generation project |
| KR101940313B1 (en) * | 2018-03-10 | 2019-01-18 | 전주비전대학교산학협력단 | Appropriate location selection method of solar photovoltaic power station using aerial laser scanning data processing and space analysis technique |
| CN112035540A (en) * | 2020-08-21 | 2020-12-04 | 国核电力规划设计研究院重庆有限公司 | Complex terrain solar energy resource measuring method |
Non-Patent Citations (1)
| Title |
|---|
| 王斯伟 ; 练继建 ; 李根森 ; 赵振源 ; 朱向东 ; .山地光伏电站地形及阴影对发电量影响研究.云南电力技术.2018,全文. * |
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