TWI664600B - Interface and method for estimating solar electricity generation of region - Google Patents

Abstract

A regional solar power generation prediction method is performed on an electronic device, and the steps are as follows. Select the shape, size, and position of the area. Search for multiple reference parameters of multiple known solar facilities in the area, and obtain multiple locations and valid ranges of multiple known solar facilities. A plurality of insolation quantities of a plurality of known solar facilities are obtained according to a plurality of test parameters of a plurality of known solar facilities. The predicted value of the area's insolation is calculated based on the insolation of multiple known solar facilities.

Description

Regional solar power generation forecast interface and method

The present invention relates to a regional solar power generation amount prediction interface and method, and in particular, to a regional solar power generation amount prediction interface and method that can provide a predicted power generation amount to be used by a power supply amount deployment end.

The Chinese government is currently actively promoting the "Sunny Roof Millions" program and has significantly increased the capacity of solar power generation units to 20GW by 2025 to increase the proportion of solar power generation in China's power grid.

Because the amount of solar power generation is directly proportional to its solar irradiance, however, the amount of solar radiation is affected by substances in the air, such as clouds, impurities, etc. Therefore, solar power generation is usually intermittent and time-varying energy, which cannot be provided Stable power source. If it is injected into the power grid without predicting the possible amount of solar power generation in advance, it will easily cause instability in the power system, and it is not easy to effectively perform power dispatching, thereby increasing operating investment and operating costs.

On the other hand, although the radiometer can be used to measure the amount of solar radiation, but it is expensive, so buildings or facilities installed with solar panels to generate solar power may not have a radiometer installed in them. Cost considerations often do not include a radiometer. Therefore, for the power distribution terminal outside the building or facility, it cannot know the amount of solar radiation of the building or facility and the corresponding amount of solar power generation. On the other hand, even if the radiometer is installed in a building or facility, Not properly set (for example, the communication function is set incorrectly), making it unable to transmit its solar radiation to the power distribution terminal. In addition, solar panels are often limited by the area of the installation site, the device capacity is usually small, there are many installation sites and the points are scattered, making it difficult for the power distribution end to obtain solar power in the area. Because the power distribution end does not know the amount of solar radiation or the area of solar power generation in its area, it is not easy to effectively perform power dispatching.

In view of the problems of the above-mentioned conventional techniques, an object of the present invention is to provide a regional solar power generation prediction interface and method, which can be implemented by an electronic device with general computing power and a specific software algorithm, or by designing a special application product. An electronic device with multiple hardware circuits formed by an application-specific integrated circuit (ASIC) or a field programmable logic gate array (FPGA) is implemented.

According to at least one object of the present invention, a method for predicting the amount of solar power generation in a region is provided. The method is performed on an electronic device, and the steps are as follows. Select the shape, size, and position of the area. Search for multiple reference parameters of multiple known solar facilities in the area, and obtain multiple locations and valid ranges of multiple known solar facilities. A plurality of insolation quantities of a plurality of known solar facilities are obtained according to a plurality of test parameters of a plurality of known solar facilities. The predicted value of the area's insolation is calculated based on the insolation of multiple known solar facilities.

According to at least one object of the present invention, a method for predicting the amount of solar power generation in a region is also provided. The method is performed on an electronic device, and the steps are as follows. Select the shape, size, and position of the area. Search for multiple reference parameters of multiple known solar facilities in the area, and obtain multiple locations and valid ranges of multiple known solar facilities. A plurality of insolation quantities of a plurality of known solar facilities are obtained according to a plurality of test parameters of a plurality of known solar facilities. A plurality of solar radiation amounts of a plurality of known solar facilities are corrected according to a height of a position of the area and a plurality of heights of a plurality of positions of a plurality of known solar facilities. The predicted value of the area's insolation is calculated based on the corrected insolation of multiple known solar facilities.

According to at least one object of the present invention, an electronic device for providing an area solar power output prediction interface is provided. The electronic device includes a plurality of hardware circuits and is configured to execute one of the above-mentioned methods for predicting the area solar power generation.

As described above, the regional solar power generation prediction interface and method provided by the present invention may have one or more of the following advantages:

(1) Obtain the predicted value of solar radiation in the selected area at the current time point or the past time point, so as to calculate the predicted value of solar power generation in the selected area, or calculate the predicted value of solar power generation in unknown solar power stations in the selected area. To allow users to effectively deploy power.

(2) Because the power can be efficiently deployed, it can reduce the occurrence of power instability in the power system, and reduce operating investment and operating costs.

(3) Because the operating investment and operating cost are reduced, the electricity price can be reduced to attract consumers to use it, which is beneficial to reducing carbon emissions and various types of pollution. Therefore, the present invention can be a commercial product that cares for the earth and improves environmental protection.

1‧‧‧ electronic device

11‧‧‧Processing device

12‧‧‧Transmission device

13‧‧‧ input device

14‧‧‧ display device

15‧‧‧Storage device

A1, A4‧‧‧‧ radiometer

A2‧‧‧Solar Power Station

A3‧‧‧ weather station

C1, C2‧‧‧ position

G1‧‧‧The first solar facility

G2‧‧‧Second solar facility

R1, R2, S‧‧‧ area

S41 ~ S57‧‧‧step

FIG. 1 is a graph of a solar azimuth angle, a solar altitude angle, and a total solar radiation according to time according to an embodiment of the present invention under specific conditions.

FIG. 2 is a functional block diagram of an electronic device for providing a regional solar power generation prediction interface according to an embodiment of the present invention.

FIG. 3 is a schematic diagram showing the area and shape occupied by a selected area and surrounding meteorological stations, radiometers, and solar power stations according to an embodiment of the present invention.

FIG. 4 is a flowchart of a method for predicting a regional solar power generation amount according to an embodiment of the present invention.

FIG. 5 is a flowchart of a method for predicting a regional solar power generation amount according to another embodiment of the present invention.

FIG. 6 is a schematic diagram showing the area and shape occupied by a selected area and a known solar facility around it in the embodiment of the present invention.

In order to help examiners understand the technical features, contents and advantages of the present invention and the effects that can be achieved, the present invention will be described in detail in conjunction with the accompanying drawings in the form of embodiments, and the drawings used therein, The purpose is only for the purpose of illustration and supplementary description. It may not be the actual proportion and precise configuration after the implementation of the invention. Therefore, the scope of the patent for the actual implementation of the invention should not be limited by the relationship between the proportion and configuration of the attached drawings. Narrated.

It should be noted that although the terms “first”, “second”, and “third” are used to describe various elements in the text, these described elements should not be limited by such terms. Such terms are only used to distinguish one element from another. Therefore, the "first" elements discussed below can all be written as "second" elements without departing from the teachings of the present invention.

The electronic device provided by the embodiment of the present invention can provide a visual operation interface as a regional solar power generation prediction interface to implement a regional solar power generation prediction interface. The visual operation interface can provide information about the amount of solar power generation in the area selected by the user, and calculate the predicted value of the amount of solar power generation in the past or present point of the area, so that the user at the power distribution end can perform the power distribution. It is also possible to further complete the predicted value of solar power generation in the first few steps (minutes, hours, days, weeks, months, or years) in the area. Therefore, the visual operation interface of the embodiment of the present invention is used as the area solar energy. The power generation forecast interface has the potential for commercialization.

Further, in the embodiment of the present invention, through the operation of the regional solar power generation prediction method and the operation of the visualization interface, the user can quickly and conveniently obtain the predicted value of the solar power generation in the area of his choice, and the regional solar power generation The steps of the quantitative prediction method are roughly explained as follows.

First, the size, shape, and location of an area are selected and set by the user. Next, search for the reference parameters of all solar facilities known in the area (for example, the amount of insolation from known radiometers in the area, the amount of solar power generated by solar power stations, the amount of radiation from weather stations, and weather information from weather stations (for example, Satellite cloud image)), and obtain the positions and effective ranges of all solar facilities known in the area, where the position includes longitude and latitude, and preferably, altitude. Then, according to the reference parameters of each solar facility known in the area, the insolation amount of each solar facility known in the area can be obtained. Please note here that the insolation amount of a known radiometer in the area and the solar power generation amount of a solar power station can be observed values obtained through corresponding instruments, but the present invention is not limited thereto.

Then, a prediction model (for example, a weighted calculation model based on the center of gravity method or other weighted calculation models) is used to obtain the predicted value of the area's insolation based on the insolation amount of all known solar facilities in the area, and according to the predicted value of the area's insolation To get the predicted value of the area's solar power generation. In addition, through the predicted value of solar radiation in the area, the predicted value of solar power generation of unknown solar power stations in the area can also be calculated.

The above electronic device may be a server, mobile phone, computer, or other electronic device that can construct a webpage as a visual operation interface. The user can select the solar device capacity (the maximum storable solar power generation) in the area and the set area through the visual operation interface. After that, the method for predicting the amount of solar power generation in the area will show the predicted value of the real-time solar power generation in the area selected by the user, or, for an unknown solar power station in the area, based on the predicted value of solar radiation in the area With the position, shape and size of this unknown solar power station, the predicted value of the power generation of this unknown solar power station is calculated.

Generally speaking, the amount of solar power generation is directly proportional to its solar radiation, so the technique of predicting the solar radiation in the first few steps is important for the application of solar power generation. Because the energy received by the solar module is not only related to the amount of solar radiation, it is also related to the setting angle. If the position and angle of the solar module are fixed, the maximum amount of solar radiation can be obtained when the sunlight is irradiated vertically on the solar module. With the sun Movement, the amount of insolation on the solar module will change accordingly. The following calculation of the solar position is performed by the solar trajectory data provided by the National Renewable Energy Laboratory (NREL), and then the theoretical calculation of the solar radiation is calculated (refer to http: //www.pveducation. org /).

It is assumed that in the case of clear sky and no obstruction, the theoretical calculation value of the solar radiation received on the fixed solar module can be calculated through the following steps. First, calculate the air mass. Air mass is used to describe the degree to which the atmosphere affects the sun's surface. The air mass is zero (that is, when AM = 0) and refers to a plane outside the earth ’s atmosphere. Degree of influence from sunlight (quoted from Wikipedia website). The formula for atmospheric mass is expressed as AM = 1 / cosζ, where ζ is the zenith angle, which is the angle between the normal of the sun and the ground.

Then, through the mass of the atmosphere, the intensity of direct exposure can be calculated, and the formula of direct exposure intensity can be expressed as ID = ^1.353 × 0.7 ^EXP_AM , where EXP_AM = AM ^0.678 , 1.353 is the sun A solar constant of 0.7 indicates that the amount of solar radiation emitted by the sun to the earth's surface is reduced by about 70%, 0.678 is an empirical constant, and the unit of ID is kW / m ² . The direct radiation intensity will increase with the height of the sea level (altitude), so the above formula for direct radiation intensity can be simplified to ID = 1.353 × [(1-ah) × 0.7 ^EXP_AM + ah] after considering the altitude variation, Where a = 0.14, and h is the height from sea level and its kilometer alone.

After the direct irradiation intensity is obtained, the global solar radiation (global irradiance) can be further calculated. The formula of the global solar radiation is expressed as I _G = 1.1 × I _D , where the total solar radiation is the direct radiation intensity plus the diffuse solar radiation. And the amount of diffuse solar radiation is 10% of the direct radiation intensity. Then, the formula of the amount of solar radiation received by the solar module is expressed as S _module = S _incident [cos α × sin β × cos (ψ-θ) + sin α × cos β], where S _incident is direct solar irradiation of the solar module The direct exposure intensity, α is the sun elevation angle, θ is the sun azimuth angle, the sun elevation angle α and the sun azimuth angle θ are related to latitude, longitude, and time, and β is the tilt angle of the solar module, and ψ is the azimuth angle of the solar module. If the solar module is located in the northern hemisphere, it is facing south, and ψ = 180 degrees. On the contrary, if the solar module is in the southern hemisphere, it is facing north, and ψ = 0 degrees. Through the above formula, the theoretical total solar radiation and the solar radiation received by the solar module can be calculated accordingly.

Please refer to FIG. 1. FIG. 1 is a graph of a solar azimuth angle, a solar height angle, and a total solar radiation according to time according to an embodiment of the present invention under specific conditions. The specific conditions are assuming that the longitude and latitude of the position of the solar module are 120.490381 and 24.213060, the altitude h is 0, the azimuth angle ψ facing it is 180 degrees, the inclination angle β is 20 degrees, and the time is August 2015. . Under the above specific conditions, the curve of the solar azimuth angle θ, the solar height angle α, and the total solar radiation amount I _G as a function of time is the same as that described in FIG. 1. In FIG. 1, it can be known that the solar azimuth angle θ and the solar height angle α will change with time, and the total solar radiation I _G will also change with time.

Next, the electronic device for providing a regional solar power generation prediction interface and the method for implementing the method are further introduced in the embodiments of the present invention. As mentioned earlier, the interface and method for predicting regional solar power generation can be implemented by hardware circuits only, or by hardware circuits and software algorithms. Please refer to FIG. 2. FIG. 2 is a functional block diagram of an electronic device for providing a regional solar power generation prediction interface according to an embodiment of the present invention. The electronic device 1 implements a regional solar power generation prediction interface and method through a hardware circuit and a software algorithm.

The electronic device 1 includes a processing device 11, a transmission device 12, an input device 13, a display device 14, and a storage device 15. The processing device 11 is electrically connected to the transmission device 12, the input device 13, the display device 14, and the storage device 15. The storage device 15 can be used to store various types of data and code for realizing the prediction interface and method for regional solar power generation. The processing device 11 can execute the code stored in the storage device 15 and control the operations of the transmission device 12, the input device 13, the display device 14 and the storage device 15.

The transmission device 12 may be a wired or wireless communication device, which is used for the electronic device 1 to communicate with other electronic devices other than the electronic device 1 to further transmit related data. The input device 13 is used to allow a user to input relevant information to operate and realize an area solar power output prediction interface, such as selecting a location, size, and shape of an area, but the present invention is not limited thereto. The display device 14 is used to display an area solar power output prediction interface.

In the embodiment of the present invention, the electronic device 1 may be a tablet computer, a smart phone, a personal computer, or a desktop computer, and the present invention does not limit the type of the electronic device 1. In addition, the processing device 11 of the electronic device 1 can also be used only as a controller, and connected to the cloud server through the transmission device 12, and most of the calculations are processed by the cloud server, while the electronic device 1 is only used to present the forecast of the area's solar power generation. Interface for mobile devices.

Please continue to refer to FIG. 2. By using and operating the electronic device in FIG. 2, a display device 14 of the electronic device in FIG. 2 can display an area solar power generation prediction interface. In this area's solar power output prediction interface, the user can input values and / or strings to determine the district's administrative area, neighborhood (by selecting the location, shape and size of the area), area's solar device capacity, Date, time, altitude, solar module inclination, solar module azimuth, predicted time point and the name or administrative area of the solar power station to be predicted. In addition, the user can also select the type of the insolation curve displayed through the input device 13, for example, an insolation curve showing a calculated insolation value and / or a predicted insolation value. In addition, the regional solar power output forecast interface will also display a histogram of the power output forecast value.

Although the above-mentioned regional solar power output prediction interface allows the user to input administrative area and neighborhood information to select the location, shape, and size of the area, the invention is not limited thereto. Another common practice is to let the user directly enter the location, shape, and size of the area. Please refer to FIG. 3, which is a schematic diagram of the area and shape occupied by a selected area and known weather stations, radiometers, and solar power stations around the embodiment of the present invention. In Figure 3, the area selected by the user is S, and its shape, size, and The location of the central point is shown in the figure. In the area of area S, known solar facilities include a radiometer A1, a solar power station A2, a weather station A3, and a radiometer A4.

The method for predicting the amount of solar power generation in the embodiment of the present invention can predict the amount of solar radiation in the area S according to the amount of solar radiation from the solar radiometer A1, the amount of power generated by the solar power station A2, the radiation from the weather station A3, and the solar radiometer A4. The predicted value of the solar power generation amount in the area S is calculated according to the predicted value of the solar radiation amount in the area S. For example, the simplest way is to convert the amount of electricity generated by solar power station A2 and the amount of radiation from meteorological station A3, and calculate the average value of insolation from solar radiometers A1, A4, solar power stations A2, and weather station A3. , As the predicted value of the insolation amount in the area S.

Briefly, the method for predicting the amount of solar power generation in the embodiment of the present invention is based on known solar facilities in the selected area S (for example, known radiometers A1, A4, solar power stations A2, and meteorological stations A3 in the selected area S, However, the present invention does not use the reference parameter in the embodiment in FIG. 3 as a reference parameter to calculate the predicted value of the solar radiation amount in the region S. Furthermore, although the predicted value of the solar radiation in the above-mentioned area S is the predicted value of the solar radiation at that time or at a past point in time, the present invention is not limited to this. It can also be based on a model established by the rule of thumb or a deep learning method. The forecast value of the current or past day radiation is combined with the forecast information of the future weather or other information to obtain the forecast value of the daily dose of the area S at a future point in time, so that the user at the power distribution side can more accurately and efficiently deploy each solar energy. The power of the power station.

Next, please refer to FIG. 2 to FIG. 4, which is a flowchart of a method for predicting a regional solar power generation amount according to an embodiment of the present invention. The regional solar power generation prediction method can be implemented by the electronic device 1 and has the following steps. First, in step S41, the operation of the input device 13 by the user selects the shape, size, and position of the area S (including latitude and longitude, and even height), and the processing device 11 learns the shape of the area S, Size and position.

Then, in step S42, the processing device 11 searches for reference parameters of solar facilities (for example, radiometers A1, A4, solar power stations A2, and meteorological stations A3) known in the area S, and obtains known parameters in the area S. Location and effective range of the solar facility, in which the processing device 11 can pass through the transmission device 12 Request the reference parameters, locations, and valid ranges of multiple known solar facilities, or request the reference parameters, locations, and valid ranges of multiple known solar facilities from the cloud server to find out the area S The reference parameters of the known solar facility and the location and effective range of the known solar facility in the area S are obtained. More precisely, each known solar facility has an effective range in its location, and if its effective range overlaps with the area S, the solar facility can be considered to be within the area S.

Then, in step S43, the processing device 11 obtains the insolation amount of each known solar facility according to the reference parameters of each known solar facility in the area. For example, the reference parameters of the radiometers A1 and A4 are the insolation quantities I1, I4, the reference parameters of the solar power station A2 are the observed values of the solar power generation, and the reference parameters of the weather station A3 such as the short-wave radiation intensity and / or satellite cloud image Wait. Generally speaking, the solar power generation of solar power station A2 will have a positive correlation with its solar radiation I2, and the reference parameters of the weather station A3 such as short-wave radiation intensity will also show a positive correlation with its solar radiation I3, and the solar radiation A3 of the weather station A3 It is also related to its satellite cloud image, so the solar radiation of solar power station A2 and weather station A3 can be obtained through the solar power station observation value of solar power station A2 and the reference parameters of weather station A3, such as short-wave radiation intensity and / or satellite cloud map.量 I2, I3.

Then, in step S44, the processing device 11 calculates the overlapping area of the effective range of each known solar facility in the area S and the area S (for example, the overlapping areas of the effective ranges of the radiometers A1 and A4 and the area S are O1, O4, The overlapping area between the effective range of the solar power station A2 and the weather station A3 and the area S is O2, O3). Then, in step S45, the processing device 11 calculates the weight of each known solar facility based on the effective range of each known solar facility in the area S and the overlapping area of the area S. For example, the weights of solar radiometers A1 and A4 are W1 and W4, and the weights of solar power station A2 and weather station A3 are W2 and W3, where Wi = Oi / (O1 + O2 + O3 + O4), and i is an integer from 1 to 4.

Finally, in step S46, the processing device 11 calculates the predicted value of the solar radiation amount I _{S in} the area S according to the weight and solar radiation amount of each known solar facility in the area S. For example, the predicted value IS of the solar radiation in the area S can be a weighted average of the solar radiation I1 ~ I4 of the solar radiometers A1, A4, solar power stations A2, and meteorological stations A3, I _S = W1 × I1 + W2 × I2 + W3 × I3 + W4 × I4, that is, the predicted value of the solar radiation amount I _{S in the} area S is calculated using a weighted operation model based on the center of gravity method.

Through the above-mentioned regional solar power generation prediction method, the user can obtain the predicted solar radiation amount I _{S of the} area S, and then calculate the solar power generation area of the area S based on the predicted solar radiation amount I _S of the area S, or calculate the area. Solar power generation of unknown solar power stations in S. When the power distribution side knows the amount of solar power generation in the region, it can effectively perform regional power distribution to increase the stability of the regional power system and reduce the impact of the region's solar power generation on the power grid. Furthermore, the power distribution terminal can perform power distribution in the power grid and power distribution between the power grid and the power grid, and the present invention is not limited thereto.

Next, please refer to FIG. 2, FIG. 3, and FIG. 5. FIG. 5 is a flowchart of a method for predicting a regional solar power generation amount according to another embodiment of the present invention. The regional solar power generation prediction method of this embodiment can also be implemented by the electronic device 1. Compared with the regional solar power generation prediction method of FIG. 4, the regional solar power generation prediction method of this embodiment considers the position of the area S more. And time, and correct the insolation of each known solar facility in area S according to the previous formulas on atmospheric quality, direct irradiation intensity, total insolation and insolation received by solar modules. The insolation amount after facility correction determines the predicted value I _{S of the} insolation amount in the area S.

In short, the above-mentioned correction is based on latitude, longitude, time, and altitude. The latitude, longitude, and time determine the azimuth and altitude of the sun. Please note here that the present invention is not limited to this. In other embodiments, the above correction may only consider height. The reason is that generally, when the size of the area is not selected, the amount of solar radiation is more susceptible to altitude. influences.

Steps S51 to S53 are the same as steps S41 to S43 in FIG. 4, so they are not described again. In step S54, the processing device 11 corrects the insolation amounts I1 to I4 of the known solar facilities in the area S according to the positions of the known solar facilities in the area S and the position of the area S, where the corrected insolation amount is I1. '~ I4'. Since the location of each known solar facility in area S and the location of area S (including (Including longitude, latitude, and altitude) are not the same, and the amount of solar radiation is related to longitude, latitude, and altitude (and especially altitude). Therefore, in step S54, it is calculated that each known solar facility in area S is The amount of insolation I1 '~ I4' after the position moves to the position of the area S.

Steps S55 and S56 are the same as steps S44 and S45 in FIG. 4, so they are not described again. In step S57, the processing device 11 calculates the predicted value of the solar radiation amount I _{S in} the area S according to the weight of each known solar facility in the area S and the corrected solar radiation amount. For example, the predicted value of solar radiation I _{S in area S} can be a weighted average of the corrected solar radiation I1 '~ I4' of solar radiometers A1, A4, solar power stations A2, and meteorological stations A3, I _S = W1 × I1 ′ + W2 × I2 ′ + W3 × I3 ′ + W4 × I4 ′, that is, the predicted value of the solar radiation amount I _{S in the} region S is calculated using a weighted operation model based on the center of gravity method.

Moreover, the shape, size, and position of the selection area are not restricted to be manually selected by the user. In other embodiments, the user can set the number of clusters through a designed program without even setting the number of clusters, that is, You can automatically select the shape, size and position of the area. The above program is, for example, a grouping program designed by a K-means algorithm or other grouping algorithms. In summary, the present invention does not limit how to design a clustering program.

Please refer to FIG. 6. FIG. 6 is a schematic diagram of the area and shape occupied by a selected area and a known solar facility around the embodiment. In FIG. 6, the user inputs the number of clusters and the location of interest through the electronic device (if not entered, the user's location can be directly taken). In this example, the number of clusters is two. Then, the clustering program will automatically cluster multiple known solar facilities within a range, for example, multiple first solar facilities G1 belong to area R1 and multiple second solar facilities G2 belong to area R2. The positions C1 and C2 of the centers of the regions R1 and R2 are also obtained automatically. Then, the method for predicting the amount of solar power generation in the region according to the embodiment of the present invention can obtain the predicted value of the amount of solar radiation in the region R1 according to the amount of solar radiation of the plurality of first solar facilities G1, and obtain the area according to the insolation of the plurality of second solar facilities G2. The predicted value of the solar radiation of R2.

To sum up, the embodiments of the present invention provide an electronic device that can implement an interface and method for predicting a regional solar power generation amount. The regional solar power generation prediction interface and method can allow users to obtain the predicted value of the solar radiation amount in the area of their choice, and the predicted value can be the predicted value at the past time point or the current time point, even through deep learning or based on experience The model established by the legal test can also obtain the predicted value of the solar radiation in the area several steps ahead. In this way, users at the power distribution end can effectively adjust the power of the power station through the regional solar power generation forecast interface and method, thereby solving the problems encountered by previous technologies such as unstable power systems, high operating investment and high operating costs. Technical problems, and the technical effects of achieving stability in the power system and reducing operating investment and operating costs.

The above description is exemplary only, and not restrictive. Any equivalent modification or change made without departing from the spirit and scope of the present invention shall be included in the scope of the attached patent application.

Claims (9)

A regional solar power generation prediction method is executed on an electronic device and includes: selecting a shape, a size, and a location of an area; searching for a plurality of known solar facilities in the area, and obtaining corresponding multiple locations and Multiple valid ranges, and the known multiple solar facilities overlapping the multiple valid range with the area are deemed to be located within the area; according to the number of such multiple known solar facilities located within the area Multiple reference parameters to obtain multiple insolation quantities of these solar facilities, wherein the multiple reference parameters include the insolation quantity of known radiometers in the area, the solar energy generation capacity of solar power stations, the radiation quantity of weather stations and the weather of weather stations Information, the location of the solar power generation facility includes the latitude and longitude position and height; calculating the multiple overlapping areas where the effective range of the known solar facilities overlaps with the area; based on the overlaps of the known solar facilities Area to calculate the multiple weights of the known solar facilities; and the insolation based on the known solar facilities Such a weight calculating the predicted value of the amount of one day exit region. The method for predicting the amount of solar power generation in a region as described in item 1 of the scope of patent application, wherein the shape, the size, and the position of the region are selected by a clustering program and automatically selected. The method for predicting the amount of solar power in an area as described in item 1 of the scope of patent application, wherein the predicted value of the amount of insolation in the area is calculated based on a prediction model based on the insolation of the known solar facilities. The method for predicting the amount of solar power generation in a region as described in item 1 of the scope of the patent application, wherein the predicted value of the insolation amount in the region is an average value of the insolation amounts of the known solar facilities. The method for predicting the amount of solar power generation in a region as described in item 1 of the scope of the patent application, further comprises: calculating a predicted value of one amount of solar power generation in the region according to the predicted value of the insolation amount in the region. The method for predicting the amount of solar power generation in the area as described in item 1 of the scope of the patent application, further comprises: calculating a predicted value of a solar power generation amount of an unknown solar power station in the region according to the predicted value of the insolation amount in the area. . The method for predicting regional solar power generation as described in item 1 of the scope of the patent application, further includes: a model based on a deep learning algorithm or a rule of thumb, based on the past and current points in the region of the region. The predicted value of the insolation amount calculates the predicted value of the insolation amount in the region at a future time point. A regional solar power generation prediction method is executed on an electronic device and includes: selecting a shape, a size, and a location of an area; searching for a plurality of known solar facilities in the area, and obtaining corresponding locations and Multiple effective ranges, and the known multiple solar installations that overlap the multiple effective range with the area are deemed to be located within the area; according to the reference parameters of the known solar installations located within the area Obtaining multiple insolation quantities of these known solar facilities, wherein the plurality of reference parameters include the insolation quantity of known radiometers in the area, the solar energy output of solar power stations, the radiation amount of weather stations and the weather of weather stations Information, the position of the solar power generation facility includes the latitude and longitude position and altitude; the correction of The amount of solar radiation; calculating the multiple overlapping areas where the effective range of the known solar facilities overlaps the area; Calculate the multiple weights of the known solar installations based on the overlapping areas of known solar installations; and calculate the amount of solar radiation in the area based on the corrected solar radiation and the weights of the known solar installations The predicted value of the solar radiation. The method for predicting the amount of solar power generation in a region as described in item 8 of the scope of the patent application, which is further based on the time of the region, the height of the location at the location, a latitude and longitude, and the time of the known solar facilities. Multiple latitudes and longitudes of the locations of known solar facilities to correct the insolation of the known solar facilities.