Irradiance calculation method and system based on ground-based cloud picture

Abstract

The invention provides an irradiance calculation method and system based on foundation cloud atlases, and the method comprises the steps: obtaining a plurality of foundation cloud atlases at the same moment, and constructing a regional panoramic cloud atlas based on the position relation of cloud clusters in the plurality of foundation cloud atlases; acquiring a solar zenith angle and a solar azimuth angle, and constructing a cloud shadow station stereoscopic model for representing the vertical projection relationship among the cloud cluster, the cloud shadow corresponding to the cloud cluster and the photovoltaic power station based on the regional panoramic cloud picture, the solar zenith angle and the solar azimuth angle; according to the method, the total sunny day irradiance is obtained, the irradiance corresponding to the target area is calculated based on the total sunny day irradiance and the cloud shadow station three-dimensional model, an irradiance measuring instrument is not needed, and the irradiance in the area is accurately obtained at low cost.

Description

Technical Field

[0001] The present invention relates to the field of ground-based cloud image recognition, and in particular to an irradiance calculation method and system based on ground-based cloud images. Background Art

[0002] At present, centralized photovoltaic / wind power sites need to be equipped with meteorological monitoring devices to achieve observable and measurable meteorological elements and improve the accuracy of photovoltaic power prediction. Distributed photovoltaic sites are not equipped with meteorological monitoring devices, but the installed capacity of distributed photovoltaics is increasing day by day, and its proportion in new energy power generation is increasing year by year. In some areas, it even exceeds the installed capacity of centralized photovoltaics by several times. At the same time, the prediction accuracy of distributed photovoltaic output is generally not as good as that of centralized photovoltaics. Considering the multi-faceted and wide-ranging installation layout of distributed photovoltaic points, through resource distribution simulation calculation, the addition of meteorological monitoring devices at regional representative points can comprehensively improve the observable and measurable capabilities of photovoltaic resources in the entire region and improve the real-time estimation accuracy of distributed photovoltaic output.

[0003] In view of the fact that there are many distributed new energy sites, uneven distribution, and many new sites, as well as the grid dispatching's demand for high-precision prediction of distributed new energy, it is necessary to know the real-time measured data of irradiance at any point in the area. However, due to the high cost of irradiance measuring instruments, dense installation in the area is not possible.

[0004] Therefore, how to achieve accurate measurement of irradiance in a region at low cost is of great significance. Summary of the invention

[0005] In order to solve the problem of high cost and insufficient accuracy of irradiance measuring instruments used in the prior art, the present invention proposes an irradiance calculation method and system based on ground-based cloud maps.

[0006] In a first aspect, the present invention provides a method for calculating irradiance based on a ground-based cloud map, comprising:

[0007] Acquire multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images;

[0008] Obtaining the solar zenith angle and the solar azimuth angle, and establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used to represent the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster, and the photovoltaic power station;

[0009] The full sunny day irradiance is obtained, and the irradiance corresponding to the target area is calculated based on the full sunny day irradiance and the cloud shadow standing stereo model.

[0010] Preferably, obtaining the full sunny day irradiance includes:

[0011] Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions;

[0012] The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

[0013] Preferably, the preset irradiance condition includes:

[0014] The irradiance data of a day has one and only one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

[0015] Preferably, the smoothness calculation of the target irradiance data to determine the full sunny day irradiance includes:

[0016] Determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data;

[0017] Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value;

[0018] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence;

[0019] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence;

[0020] Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence;

[0021] The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

[0022] Preferably, the step of constructing a regional panoramic cloud map based on the positional relationship of the clouds in the plurality of ground-based cloud maps comprises:

[0023] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are combined and processed, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or,

[0024] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

[0025] Preferably, establishing a cloud shadow standing stereo model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle comprises:

[0026] Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map;

[0027] The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

[0028] Preferably, the latitude and longitude information of the cloud shadow corresponding to the cloud cluster is calculated as follows:

[0029] x s =x c -H·tanβ·sinγ

[0030] y s =y c -H·tanβ·cosγ

[0031] Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the vertical projection latitude information of the cloud on the ground, H is the cloud height information, β is the solar zenith angle, and γ is the solar azimuth angle.

[0032] Preferably, the calculating the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing stereo model includes:

[0033] Determine whether the target area is located under the cloud shadow based on the latitude and longitude information of the cloud shadow in the cloud shadow standing stereoscopic model and the location information of the photovoltaic power station;

[0034] If not, the full sunny day irradiance is used as the irradiance corresponding to the target area;

[0035] If so, the shading information of the cloud shadow on the target area is determined based on the latitude and longitude information of the cloud shadow, and the irradiance corresponding to the target area is generated by multiplying the cloud shadow shading coefficient determined based on the shading information by the full sunny day irradiance.

[0036] In a second aspect, the present invention further provides an irradiance calculation system based on a ground-based cloud map, comprising:

[0037] A construction module, used to obtain multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images;

[0038] Establishing a module, used for obtaining the solar zenith angle and the solar azimuth angle, and establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used for representing the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster and the photovoltaic power station;

[0039] A calculation module is used to obtain the full sunny day irradiance, and calculate the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing three-dimensional model.

[0040] Preferably, the calculation module is further used for:

[0041] Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions;

[0042] The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

[0043] Preferably, the preset irradiance condition includes:

[0044] The irradiance data of a day has one and only one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

[0045] Preferably, the calculation module further includes:

[0046] Irradiance calculation submodule, used for:

[0047] Determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data;

[0048] Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value;

[0049] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence;

[0050] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence;

[0051] Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence;

[0052] The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

[0053] Preferably, the building block is further used for:

[0054] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are combined and processed, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or,

[0055] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

[0056] Preferably, based on the establishment module, it is further used for:

[0057] Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map;

[0058] The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

[0059] Preferably, the calculation of the longitude and latitude information of the cloud shadow corresponding to the cloud cluster in the establishment module is as follows:

[0060] x s =x c -H·tanβ·sinγ

[0061] y s =y c -H·tanβ·cosγ

[0062] Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the vertical projection latitude information of the cloud on the ground, H is the cloud height information, β is the solar zenith angle, and γ is the solar azimuth angle.

[0063] Preferably, the calculation module is further used for:

[0064] Determine whether the target area is located under the cloud shadow based on the latitude and longitude information of the cloud shadow in the cloud shadow standing stereoscopic model and the location information of the photovoltaic power station;

[0065] If not, the full sunny day irradiance is used as the irradiance corresponding to the target area;

[0066] If so, the shading information of the cloud shadow on the target area is determined based on the latitude and longitude information of the cloud shadow, and the irradiance corresponding to the target area is generated by multiplying the cloud shadow shading coefficient determined based on the shading information by the full sunny day irradiance.

[0067] In another aspect, the present invention further provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0068] The memory is used to store one or more programs;

[0069] When the one or more programs are executed by the at least one processor, the irradiance calculation method based on the ground-based cloud map as described above is implemented.

[0070] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, the irradiance calculation method based on the ground-based cloud map as described above is implemented.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] The present invention provides an irradiance calculation method and system based on ground-based cloud maps, the method comprising obtaining a plurality of ground-based cloud maps at the same time, and constructing a regional panoramic cloud map based on the positional relationship of cloud clusters in the plurality of ground-based cloud maps; obtaining the solar zenith angle and the solar azimuth angle, and constructing a cloud shadow standing stereo model for representing the vertical projection relationship between cloud clusters, cloud shadows corresponding to the cloud clusters, and photovoltaic power stations based on the regional panoramic cloud map, the solar zenith angle, and the solar azimuth angle; obtaining full-day irradiance, and calculating the irradiance corresponding to a target area based on the full-day irradiance and the cloud shadow standing stereo model, without the need for an irradiance measuring instrument, to achieve low-cost and accurate acquisition of the irradiance in the area. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of the irradiance calculation method based on ground-based cloud map of the present invention;

[0074] Figure 2 It is a schematic diagram of a specific process of the irradiance calculation method based on the ground-based cloud map of the present invention;

[0075] Figure 3 It is a schematic diagram of the distribution of ground-based cloud map shooting devices of the irradiance calculation method based on ground-based cloud map of the present invention;

[0076] Figure 4 It is a schematic diagram of a cloud-shadow-standing body model of the irradiance calculation method based on ground-based cloud images of the present invention;

[0077] Figure 5 A schematic diagram of a regional panoramic cloud map of the irradiance calculation method based on a ground-based cloud map of the present invention;

[0078] Figure 6 A schematic diagram of a regional panoramic cloud shadow of the irradiance calculation method based on a ground-based cloud map of the present invention;

[0079] Figure 7 It is a schematic diagram of the irradiance curve at point A of the irradiance calculation method based on the ground-based cloud map of the present invention;

[0080] Figure 8 It is a schematic diagram of the irradiance curve at point B of the irradiance calculation method based on the ground-based cloud map of the present invention;

[0081] Fig. 9 It is a schematic diagram of comparing the irradiance curves of point A and point B of the irradiance calculation method based on the ground-based cloud map of the present invention;

[0082] Fig.10 It is a schematic diagram of the structure of the irradiance calculation system based on the ground-based cloud map of the present invention;

[0083] Fig.11 The figure is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0084] The present invention proposes an irradiance calculation method and system based on ground-based cloud images, which provides a method for calculating the irradiance value in a region by using multiple ground-based cloud image shooting devices, thereby realizing low-cost and accurate calculation of the irradiance value.

[0085] In order to better understand the present invention, the content of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0086] Embodiment 1:

[0087] A method for calculating irradiance based on ground-based cloud images, such as Figure 1 As shown, including:

[0088] Step 1: Acquire multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images;

[0089] Step 2: Obtain the solar zenith angle and the solar azimuth angle, and establish a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used to represent the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster, and the photovoltaic power station;

[0090] Step 3: Obtain the full sunny day irradiance, and calculate the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing stereo model.

[0091] In this embodiment, in step 1, the process of constructing a regional panoramic cloud map based on the positional relationship of the cloud clusters in the plurality of ground-based cloud maps includes:

[0092] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are combined and processed, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or,

[0093] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

[0094] In this embodiment, in step 2, the process of establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle, and the solar azimuth angle includes:

[0095] Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map;

[0096] The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

[0097] In one embodiment, in the process of calculating the longitude and latitude information of the cloud shadow corresponding to the cloud cluster, the calculation can be performed using the following calculation formula:

[0098] x s =x c -H·tanβ·sinγ

[0099] y s =y c -H·tanβ·cosγ

[0100] Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the vertical projection latitude information of the cloud on the ground, H is the cloud height information, β is the solar zenith angle, and γ is the solar azimuth angle.

[0101] In this embodiment, the process of obtaining the full sunny day irradiance in step 3 includes:

[0102] Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions;

[0103] The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

[0104] In one embodiment, the preset irradiance condition includes: the irradiance data of a day has and only has one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

[0105] In one embodiment, in the process of calculating the smoothness of the target irradiance data and determining the full sunny day irradiance, the following steps are included:

[0106] Determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data;

[0107] Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value;

[0108] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence;

[0109] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence;

[0110] Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence;

[0111] The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

[0112] See also Figure 2 , Figure 2 The specific flow chart of the irradiance calculation method based on the ground-based cloud map of the present invention is as follows. Figure 2 The irradiance calculation based on the ground-based cloud map of the present invention is introduced:

[0113] Ten ground cloud image shooting devices were installed in the target area to collect ground cloud images of the same period on all ground cloud image monitoring devices. The distance between each monitoring device is about 10km, and most of them are installed on the roofs of buildings, which can be operated and maintained remotely. These monitoring devices are relatively evenly distributed and the shooting range can cover the entire area. For example, take 10 monitoring devices in a city, named P1-P10, the east longitudes of the 10 monitoring devices are: [118.200263, 118.250133, 118.366187, 118.38, 118.29, 118.41, 118.33, 118.23, 118.16, 118.175], and the corresponding north latitudes are [35.053014, 35.137797, 35.051923, 35.16, 35.24, 35.24, 35.313, 35.32, 35.11, 35.225]. Their location distribution is as follows: Figure 3 The dark area is the city map, and P1-P10 are ten monitoring devices.

[0114] Select 10 cloud images taken by all monitoring devices at the same time. Restore all cloud clusters on each cloud image to the world coordinate system through three-dimensional reconstruction. This involves projecting the (x, y) point in the pixel coordinate system to the Cartesian azimuth coordinate system (x*, y*), and then mapping it to the 3D world coordinate system. middle.

[0115] Compared with the 3D reconstruction of a single cloud image, two problems may be encountered in the process of 3D reconstruction of multiple cloud images. The first is the processing of the same cloud cluster photographed in different cloud images. The second is the processing method if the cloud clusters have the same longitude and latitude and the same height. For the first problem, first of all, in the process of calculating the cloud height, it will be determined whether the same cloud cluster is photographed in adjacent cloud images. The same cloud cluster may have different shapes and sizes in different ground-based cloud images due to different shooting angles. When restored to the world coordinate system, the positions overlap, but may not be exactly the same. Then we regard the union of the two cloud clusters as the original form of the cloud cluster. For the second question, if the cloud clusters have the same height, the same longitude and latitude, or an inclusion relationship, then the two cloud clusters are considered to be the same cloud cluster, and the union of the cloud clusters is taken as the final shape of the cloud cluster. This situation generally occurs in question one; if the cloud clusters have different heights, the same longitude and latitude, or an inclusion relationship, they are still considered to be different cloud clusters and are processed separately; if the cloud clusters have the same height and the longitude and latitude areas overlap, then it may be that the single cloud image was not fully captured, and the union of the two cloud clusters is still considered to be the final shape of the cloud cluster.

[0116] In addition, the impact of each cloud on ground irradiance is considered, including the cloud shadow position, irradiance attenuation coefficient, and the positional relationship between the cloud shadow and the distributed photovoltaic power station. First, a cloud-shadow-station model is established, and its schematic diagram is shown in Figure 4 As shown, the longitude and latitude of the cloud shadow (x s ,y s ) is the vertical projection latitude and longitude of the cloud on the ground (x c ,y c ), cloud height H, solar zenith angle β, and solar azimuth angle γ are jointly determined, N represents the north direction, and E represents the east direction.

[0117] For shooting locations north of the Tropic of Cancer, the sun is in the southeast in the morning, and the solar azimuth In the afternoon, the sun is in the southwest, and the solar azimuth Through mathematical modeling, it can be obtained that, whether in the morning or afternoon, the cloud shadow and the vertical projection of the cloud satisfy the following formula:

[0118] x s =x c -H·tanβ·sinγ

[0119] y s =y c -H·tanβ·cosγ

[0120] Among them, the solar zenith angle and the solar altitude angle are complementary angles. The solar altitude angle refers to the angle between the incident direction of sunlight and the horizon. The solar azimuth angle refers to the angle from the north direction along the horizon circle clockwise to the line connecting the vertical projection point of the sun and the observation point, and the variation range is 0° to 360°. The solar zenith angle and azimuth angle can be calculated from the local longitude and latitude and time. The calculation method is as follows:

[0121]

[0122]

[0123] in, is the latitude of the sky imager. δ is the declination angle, and ω is the solar hour angle. The corresponding calculation method is as follows:

[0124]

[0125] ω=15(t-12)

[0126] Where N is the number of days from New Year's Day, and t is the local time in 24 hours.

[0127] Then, after obtaining the longitude and latitude of the cloud shadow, according to the distribution of distributed photovoltaic power stations, we can determine whether the cloud shadow affects the distributed photovoltaic power stations and the affected area and region.

[0128] In the process of determining the irradiance of a sunny day, the irradiance curve of a "sunny day" is used as the current clear sky curve of the monitoring device, taking into account the continuity of meteorological changes over time. "Sunny day" refers to weather conditions where the weather is clear, there are no clouds blocking the view, and the sun shines directly on the surface. According to statistics, there is at least one sunny day in the region every month. The irradiance curve of a sunny day is characterized by being smooth, symmetrical at non-zero points, high peaks and a single peak, and a maximum value greater than 800W / m 2 For a completely clear day search, the following steps are included:

[0129] Step 1: For the current date T0, extract the irradiance data for one month. The time resolution is 5 minutes. t is the time, f(t) is the irradiance corresponding to time t within the day, in W / m 2 .

[0130] Step 2: For each day's irradiance f(t), ensure that the single peak characteristic is: for There is and only one satisfy:

[0131]

[0132] Where T is any day within the previous 30 days. Indicates the current time of the day on the Tth day, represents the next moment of the Tth day, Indicates the moment before the Tth day.

[0133] Step 3: Ensure that the maximum daily irradiance is greater than 800W / m 2 .

[0134]

[0135] Step 4: Smoothness calculation. First, calculate the irradiance difference sequence q(t): for each day, take the point t corresponding to the maximum irradiance within the day max . Take the time series g(t):

[0136] g(t)=f(t+1)-f(t)

[0137] Among them, f(t) is the irradiance at the current moment, and f(t+1) is the irradiance at the next moment.

[0138] Time series h(t):

[0139] h(t)=f(t)-f(t+1)

[0140] Time series q(t):

[0141]

[0142] Calculate the RMSE of q(t) as follows:

[0143] RMSE(q(t))

[0144] Based on the calculated smoothness results, the irradiance curve on the day with the maximum smoothness is determined as the sunny day irradiance curve.

[0145] After obtaining the sunny day irradiance curve and the regional panoramic cloud shadow, first determine whether the location is under the cloud shadow. If not, the irradiance value at that moment is the sunny day irradiance value. If it is under the cloud shadow, the irradiance value at that moment is the sunny day irradiance value multiplied by the cloud shielding coefficient, which depends on the specific situation.

[0146] Embodiment 2:

[0147] For a cloud image taken on a certain day, a panoramic cloud image and a panoramic cloud shadow are obtained and the irradiance value of any point in them is calculated, such as Figure 5 and Figure 6 As shown in the figure, after a day of cloud shadow judgment, the irradiance curve of one point that is never in the cloud shadow is as follows: Figure 7 As shown, at one point B, there are irradiance curves in the cloud shadow at multiple times as shown in Figure 8 As shown in the figure, the comparison of the irradiance change curves of point A and point B within one day is as follows Fig. 9 As shown, Panoramic Cloud Picture represents a panoramic cloud picture.

[0148] Embodiment 3:

[0149] The present invention based on the same inventive concept also provides an irradiance calculation system based on ground-based cloud images, such as Fig.10 As shown, including:

[0150] A construction module, used to obtain multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images;

[0151] Establishing a module, used for obtaining the solar zenith angle and the solar azimuth angle, and establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used for representing the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster and the photovoltaic power station;

[0152] A calculation module is used to obtain the full sunny day irradiance, and calculate the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing three-dimensional model.

[0153] Preferably, the second calculation module is further used for:

[0154] Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions;

[0155] The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

[0156] Preferably, the preset irradiance condition includes:

[0157] The irradiance data of a day has one and only one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

[0158] Preferably, the second calculation module further includes:

[0159] The second irradiance calculation submodule is used to:

[0160] Determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data;

[0161] Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value;

[0162] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence;

[0163] Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence;

[0164] Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence;

[0165] The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

[0166] Preferably, the building block is further used for:

[0167] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are combined and processed, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or,

[0168] When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

[0169] Preferably, based on the establishment module, it is further used for:

[0170] Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map;

[0171] The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

[0172] Preferably, the latitude and longitude information of the cloud shadow corresponding to the cloud cluster is calculated as follows:

[0173] x s =x c -H·tanβ·sinγ

[0174] y s =y c -H·tanβ·cosγ

[0175] Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the latitude information of the vertical projection of the cloud on the ground, H is the cloud height information in the longitude and latitude information of the vertical projection of the cloud on the ground, β is the solar zenith angle, and γ is the solar azimuth angle.

[0176] Preferably, the calculation module is further used for:

[0177] Determine whether the target area is located under the cloud shadow based on the latitude and longitude information of the cloud shadow in the cloud shadow standing stereoscopic model and the location information of the photovoltaic power station;

[0178] If not, the full sunny day irradiance is used as the irradiance corresponding to the target area;

[0179] If so, the shading information of the cloud shadow on the target area is determined based on the latitude and longitude information of the cloud shadow, and the irradiance corresponding to the target area is generated by multiplying the cloud shadow shading coefficient determined based on the shading information by the full sunny day irradiance.

[0180] Example 4

[0181] like Fig.11 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0182] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of an irradiance calculation method based on a ground-based cloud map in the above-mentioned embodiment.

[0183] Example 5

[0184] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the storage medium here may include both a built-in storage medium in an electronic device and an extended storage medium supported by the electronic device. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions may be one or more execution programs (including program codes). It should be noted that the storage medium here may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a method for calculating irradiance based on a ground-based cloud map in the above-mentioned embodiment.

[0185] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0186] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0187] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0188] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0189] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A method for calculating irradiance based on ground-based cloud images, characterized in that: include: Acquire multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images; Obtaining the solar zenith angle and the solar azimuth angle, and establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used to represent the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster, and the photovoltaic power station; The full sunny day irradiance is obtained, and the irradiance corresponding to the target area is calculated based on the full sunny day irradiance and the cloud shadow standing stereo model.

2. The method according to claim 1, characterized in that The obtaining of full sunny day irradiance includes: Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions; The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

3. The method according to claim 2, characterized in that The preset irradiance conditions include: The irradiance data of a day has one and only one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

4. The method according to claim 2, characterized in that: The step of performing smoothness calculation on the target irradiance data to determine the full sunny day irradiance includes: Determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data; Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value; Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence; Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence; Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence; The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

5. The method according to claim 1, characterized in that The step of constructing a regional panoramic cloud map based on the positional relationship of the cloud clusters in the plurality of ground-based cloud maps comprises: When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are combined and processed, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or, When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

6. The method according to claim 5, characterized in that The step of establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle, and the solar azimuth angle comprises: Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map; The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

7. The method according to claim 6, characterized in that The calculation of the latitude and longitude information of the cloud shadow corresponding to the cloud cluster is as follows: x s =x c -H·tanβ·sinγ y s =y c -H·tanβ·cosγ Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the vertical projection latitude information of the cloud on the ground, H is the cloud height information, β is the solar zenith angle, and γ is the solar azimuth angle.

8. The method according to claim 6, characterized in that The calculating the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing stereo model includes: Determine whether the target area is located under the cloud shadow based on the latitude and longitude information of the cloud shadow in the cloud shadow standing stereoscopic model and the location information of the photovoltaic power station; If not, the full sunny day irradiance is used as the irradiance corresponding to the target area; If so, the shading information of the cloud shadow on the target area is determined based on the latitude and longitude information of the cloud shadow, and the irradiance corresponding to the target area is generated by multiplying the cloud shadow shading coefficient determined based on the shading information by the full sunny day irradiance.

9. An irradiance calculation system based on ground-based cloud images, characterized in that: include: A construction module, used to obtain multiple ground-based cloud images at the same time, and construct a regional panoramic cloud image based on the positional relationship of the cloud clusters in the multiple ground-based cloud images; Establishing a module, used for obtaining the solar zenith angle and the solar azimuth angle, and establishing a cloud shadow standing volume model based on the regional panoramic cloud map, the solar zenith angle and the solar azimuth angle, wherein the cloud shadow standing volume model is used for representing the vertical projection relationship between the cloud cluster, the cloud shadow corresponding to the cloud cluster and the photovoltaic power station; A calculation module is used to obtain the full sunny day irradiance, and calculate the irradiance corresponding to the target area based on the full sunny day irradiance and the cloud shadow standing three-dimensional model.

10. The system according to claim 9, characterized in that The computing module is further used for: Obtain irradiance data for historical time intervals, and filter out target irradiance data based on preset irradiance conditions; The target irradiance data is subjected to smoothness calculation to determine the full sunny day irradiance.

11. The system according to claim 10, characterized in that The preset irradiance conditions in the calculation module include: The irradiance data of a day has one and only one single peak, and the irradiance data corresponding to the single peak is greater than the preset intra-day irradiance value.

12. The system according to claim 10, characterized in that The computing module further includes: The irradiance calculation submodule is used to determine the maximum intraday irradiance value of each day in the target time interval corresponding to the target irradiance data; Dividing each day in the target time interval into a first time series and a second time series based on the maximum intra-day irradiance value; Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the first time series, and subtracting the irradiance corresponding to the current moment from the irradiance corresponding to the next moment to generate a first time irradiance difference sequence; Obtaining the irradiance corresponding to the current moment and the irradiance corresponding to the next moment in the second time series, and subtracting the irradiance corresponding to the next moment from the irradiance corresponding to the current moment to generate a second time irradiance difference sequence; Performing smoothness calculation based on the first time irradiance difference sequence and the second time irradiance difference sequence; The irradiance data whose smoothness meets the preset smoothness condition is determined as the full sunny day irradiance.

13. The system according to claim 9, characterized in that The building block is further used for: When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud images that the same cloud cluster exists in the multiple ground-based cloud images, the same cloud clusters in the multiple ground-based cloud images are processed as a union, and the cloud clusters are three-dimensionally reconstructed to generate the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information, and a regional panoramic cloud image is constructed based on the latitude and longitude information of the vertical projection of the cloud cluster on the ground and the cloud height information; or, When it is determined based on the positional relationship between the cloud clusters in the multiple ground-based cloud maps that there are multiple cloud clusters with the same longitude and latitude or multiple cloud clusters have an inclusion relationship, the multiple cloud clusters are three-dimensionally reconstructed respectively to generate the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground, and a regional panoramic cloud map is constructed based on the longitude and latitude information and cloud height information of the vertical projections of each of the multiple cloud clusters on the ground.

14. The system according to claim 13, characterized in that The establishment module is further used for: Calculate the longitude and latitude information of the cloud shadow corresponding to the cloud cluster based on the longitude and latitude information, cloud height information, the solar zenith angle, and the solar azimuth angle of the cloud cluster in the regional panoramic cloud map; The location information of the photovoltaic power station is obtained, and a cloud shadow standing three-dimensional model is established based on the location information of the photovoltaic power station, the regional panoramic cloud map and the longitude and latitude information of the cloud shadow.

15. The system according to claim 14, characterized in that The calculation of the longitude and latitude information of the cloud shadow corresponding to the cloud group in the establishment module is as follows: x s =x c -H·tanβ·sinγ y s =y c -H·tanβ·cosγ Among them, x s is the longitude information of the cloud shadow, y s is the latitude information of the cloud shadow, x c is the vertical projection longitude information of the cloud on the ground, y c is the vertical projection latitude information of the cloud on the ground, H is the cloud height information, β is the solar zenith angle, and γ is the solar azimuth angle.

16. The system according to claim 14, characterized in that The computing module is further used for: Determine whether the target area is located under the cloud shadow based on the latitude and longitude information of the cloud shadow in the cloud shadow standing stereoscopic model and the location information of the photovoltaic power station; If not, the full sunny day irradiance is used as the irradiance corresponding to the target area; If so, the shading information of the cloud shadow on the target area is determined based on the latitude and longitude information of the cloud shadow, and the irradiance corresponding to the target area is generated by multiplying the cloud shadow shading coefficient determined based on the shading information by the full sunny day irradiance.

17. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the irradiance calculation method based on the ground-based cloud map as described in any one of claims 1 to 8 is implemented.

18. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, the irradiance calculation method based on the ground-based cloud map as described in any one of claims 1 to 8 is implemented.

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