Photovoltaic panel control method and system based on photovoltaic power generation data

Abstract

The invention relates to the technical field of photovoltaic power generation monitoring, and provides a photovoltaic panel control method and system based on photovoltaic power generation data, and the method comprises the steps: constructing a digital twin containing the installation position characteristics of a photovoltaic panel through combining a building model with the installation data of the photovoltaic panel, substituting the power generation historical data and the illumination data into the digital twinborn body to construct an association relationship between the illumination and the power generation power of each photovoltaic panel, training the digital twinborn body, and then substituting the predicted illumination weather data into the digital twinborn body to predict the power generation power of the photovoltaic panel. The photovoltaic power generation monitoring is realized based on the total photovoltaic power generation power change prediction curve, the monitoring efficiency of the power generation of the photovoltaic panel is improved, the operation and maintenance management can be remotely performed on the photovoltaic panel, and the operation and maintenance cost of the photovoltaic power generation is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation monitoring, and in particular to a photovoltaic panel control method and system based on photovoltaic power generation data. Background Art

[0002] Photovoltaic power generation uses the photoelectric effect of semiconductors to convert solar energy into electrical energy. Photovoltaic panels are generally installed on the rooftops and exterior walls of buildings. Photovoltaic systems constructed on large buildings will have a large number of photovoltaic panels. Existing technologies are inefficient in monitoring the power generation of these photovoltaic panels, making it difficult to effectively operate and maintain them. Summary of the Invention

[0003] The present invention provides a photovoltaic panel control method based on photovoltaic power generation data, which is used to solve the problem of low efficiency in monitoring the power generation status of photovoltaic panels in the prior art.

[0004] A first aspect of the present invention provides a photovoltaic panel control method based on photovoltaic power generation data, comprising:

[0005] Obtain historical illumination data and, based on a preset digital twin, obtain the first illumination data of each photovoltaic panel under the historical illumination data; obtain the historical power generation data of each photovoltaic panel, associate the historical power generation data of each photovoltaic panel with the first illumination data based on the time relationship, and construct the relationship between illumination and power generation of each photovoltaic panel;

[0006] Obtain current illumination data, and obtain second illumination data for each photovoltaic panel under the current illumination data based on the preset digital twin; obtain current power generation data for each photovoltaic panel, substitute the second illumination data and current power generation data into the relationship between illumination and power generation, and then correct the relationship between illumination and power generation;

[0007] Obtain illumination prediction data, and obtain the third illumination data of each photovoltaic panel under the illumination prediction data based on the preset digital twin; substitute the third illumination data into the relationship between illumination and power generation to obtain the power generation prediction data of each photovoltaic panel; identify the cumulative profit and loss of power generation in the total photovoltaic power generation power change prediction curve based on the preset building demand power, and determine whether the photovoltaic panels need to be adjusted based on the cumulative profit and loss of power generation.

[0008] Optionally, after associating the power generation history data of each photovoltaic panel with the first illumination data according to the time relationship, a relationship between illumination and power generation of each photovoltaic panel is constructed, specifically:

[0009] Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows:

[0010] ;

[0011] in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels.

[0012] Optionally, after determining whether the photovoltaic panels need to be adjusted based on the accumulated profit and loss of power generation, the method further includes:

[0013] When it is determined that the photovoltaic panels need to be adjusted, the adjustable angle range of each photovoltaic panel is obtained, and the optimal adjustment angle of the photovoltaic panel is identified in the photovoltaic power generation model. The photovoltaic power generation model is specifically:

[0014] ;

[0015] in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, The maximum power generation of the photovoltaic panel.

[0016] A second aspect of the present application provides a photovoltaic panel control system based on photovoltaic power generation data, comprising:

[0017] The photovoltaic digital twin construction module is used to obtain historical illumination data and obtain the first illumination data of each photovoltaic panel under the illumination history data based on the preset digital twin; obtain the power generation history data of each photovoltaic panel, associate the power generation history data of each photovoltaic panel with the first illumination data based on the time relationship, and construct the relationship between the illumination and power generation of each photovoltaic panel;

[0018] The photovoltaic power generation monitoring module is used to obtain the current light data and obtain the second light data of each photovoltaic panel under the current light data based on the preset digital twin; obtain the current power generation data of each photovoltaic panel, substitute the second light data and the current power generation data into the relationship between light and power generation, and then correct the relationship between light and power generation;

[0019] The photovoltaic panel control and judgment module is used to obtain light prediction data and obtain the third light data of each photovoltaic panel under the light prediction data based on the preset digital twin; the third light data is substituted into the relationship between light and power generation to obtain the power generation prediction data of each photovoltaic panel; based on the preset building demand power, the cumulative profit and loss of power generation is identified in the total photovoltaic power generation power change prediction curve, and whether the photovoltaic panel needs to be adjusted according to the cumulative profit and loss of power generation.

[0020] Optionally, in the photovoltaic digital twin construction module, after associating the power generation history data of each photovoltaic panel with the first illumination data according to the time relationship, the relationship between the illumination and the power generation power of each photovoltaic panel is constructed, specifically:

[0021] Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows:

[0022] ;

[0023] in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels.

[0024] Optionally, after determining whether the photovoltaic panels need to be adjusted based on the accumulated profit or loss of power generation, the photovoltaic panel control judgment module further includes:

[0025] When it is determined that the photovoltaic panels need to be adjusted, the adjustable angle range of each photovoltaic panel is obtained, and the optimal adjustment angle of the photovoltaic panel is identified in the photovoltaic power generation model. The photovoltaic power generation model is specifically:

[0026] ;

[0027] in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, The maximum power generation of the photovoltaic panel.

[0028] A third aspect of the present application provides a photovoltaic panel control method and device based on photovoltaic power generation data, the device comprising a processor and a memory:

[0029] The memory is used to store program code and transmit the program code to the processor;

[0030] The processor is used to execute the photovoltaic panel control method based on photovoltaic power generation data according to any one of the first aspects of the present invention according to the instructions in the program code.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium for storing program code, wherein the program code is used to execute a photovoltaic panel control method based on photovoltaic power generation data as described in any one of the first aspects of the present invention.

[0032] It can be seen from the above technical solution that the present invention has the following advantages: by combining the building model with the installation data of the photovoltaic panels to construct a digital twin containing the installation location characteristics of the photovoltaic panels, and substituting the power generation history data and light data into the digital twin to construct the correlation between the light and power generation power of each photovoltaic panel, the digital twin is trained, and then the predicted light weather data is substituted into the digital twin to predict the power generation power of the photovoltaic panels. The photovoltaic power generation is monitored based on the total photovoltaic power generation power change prediction curve, which improves the monitoring efficiency of photovoltaic panel power generation, can remotely perform operation and maintenance management of photovoltaic panels, and reduces the operation and maintenance cost of photovoltaic power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 is a flow chart of a photovoltaic panel control method based on photovoltaic power generation data;

[0035] Figure 2 This is a structural diagram of a photovoltaic panel control system based on photovoltaic power generation data. DETAILED DESCRIPTION

[0036] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0037] The present invention provides a photovoltaic panel control method based on photovoltaic power generation data, which is used to solve the problem of low efficiency in monitoring the power generation status of photovoltaic panels in the prior art.

[0038] See also Figure 1 , Figure 1 This is a first flow chart of a photovoltaic panel control method based on photovoltaic power generation data provided by an embodiment of the present invention.

[0039] S100: Acquire historical illumination data, and obtain first illumination data of each photovoltaic panel under the historical illumination data based on a preset digital twin; acquire historical power generation data of each photovoltaic panel, associate the historical power generation data of each photovoltaic panel with the first illumination data based on a temporal relationship, and construct a relationship between illumination and power generation of each photovoltaic panel;

[0040] It should be noted that a digital twin structure can be first established based on the three-dimensional model of the building where photovoltaic panels are installed. The current building is the building where the equipment for photovoltaic system power generation is located. Based on the building design model, a three-dimensional model reflecting the current building structure can be obtained, as well as the installation data of each photovoltaic panel on the building model. The digital twin can then be supplemented based on the installation data of the photovoltaic panels, such as the number and distribution of each photovoltaic panel on the top floor of the building. A spatial coordinate system is established based on the building model, and the installation data of the photovoltaic panels can be converted into the coordinates of each photovoltaic panel in the building model. The building model and the photovoltaic panels are combined to construct a corresponding digital twin reflecting the overall position and orientation angle of the photovoltaic panels installed on the building model.

[0041] Photovoltaic panels installed at various locations of the current building will record changes in power generation over time during the power generation process. The illumination data mainly includes illumination direction and intensity. The illumination direction can be obtained based on the changing position of the sun over time, while the illumination intensity can be obtained by setting a light intensity detection device or based on the cloud coverage in the illumination data. Based on the conditions of each photovoltaic panel in the preset digital twin, the specific first illumination data received by each photovoltaic panel under the overall illumination history data can be determined; a function of the illumination direction and illumination intensity over time in the illumination data is established, and then the illumination data is associated with the power generation of each photovoltaic panel based on time, and a relationship model between illumination and power generation of each photovoltaic panel is established, that is, the power generation that can be achieved for photovoltaic panels installed at different locations of the building under different illumination directions and intensities;

[0042] S200, obtaining current illumination data, and obtaining second illumination data of each photovoltaic panel under the current illumination data based on a preset digital twin; obtaining current power generation data of each photovoltaic panel, substituting the second illumination data and the current power generation data into the relationship between illumination and power generation, and correcting the relationship between illumination and power generation;

[0043] It should be noted that, under the current illumination data monitored in real time, the second illumination data of each photovoltaic panel can be obtained by the digital twin, and the theoretical power generation data can be calculated based on the relationship between illumination and power generation of each photovoltaic panel constructed in the aforementioned steps; and at this time, the actual power generation data can be monitored, and the current power generation data of each photovoltaic panel can be obtained. After comparing the current power generation data with the theoretical power generation data, the relationship between illumination and power generation can be corrected according to the difference; the model constructed in the aforementioned step S100 is based on historical data, and can be constructed right after the photovoltaic panel is installed at the factory. As the photovoltaic panel is used, there is dirt adhesion or the photoelectric conversion effect changes. At this time, there will be a difference between the actual relationship and the one constructed in the aforementioned step S100, so it needs to be corrected.

[0044] S300, obtain the illumination prediction data, and obtain the third illumination data of each photovoltaic panel under the illumination prediction data based on the preset digital twin; substitute the third illumination data into the relationship between illumination and power generation to obtain the power generation prediction data of each photovoltaic panel; identify the cumulative profit and loss of power generation in the total photovoltaic power generation power change prediction curve based on the preset building demand power, and determine whether the photovoltaic panels need to be adjusted according to the cumulative profit and loss of power generation.

[0045] It should be noted that the training of the digital twin in the aforementioned steps can realize the prediction of future power generation conditions. According to the weather forecast data, the light prediction data can be obtained. The light prediction data is substituted into the digital twin to predict the third light data of each photovoltaic panel. Based on the relationship between the light and the power generation power of each photovoltaic panel, the power change curve of each photovoltaic panel as the light changes can be predicted; due to the different installation positions and orientation angles of each photovoltaic panel and the differences in its own photoelectric conversion, the obtained power change curves are also different. For the current building, the power supply is the sum of the power of all photovoltaic panels. Therefore, the power change curves of each photovoltaic panel can be superimposed, that is, the change curve of the sum of the power of each photovoltaic panel over time is calculated to obtain the total photovoltaic power generation power change prediction curve. The future power generation of the photovoltaic system can be predicted based on the weather forecast. By monitoring the future power generation of the photovoltaic panels, the operation and maintenance personnel can adjust the working status of the photovoltaic panels in time, for example, adjust the power supply strategy in advance when the predicted power generation power is insufficient.

[0046] The total photovoltaic power generation prediction curve is a curve showing the change in solar power generation from photovoltaic panels over time. Integrating this curve over time yields the cumulative power generation. The preset building power demand can be the power required to supply the current building's basic electricity needs or the minimum power required for the photovoltaic power generation system. After integrating the total photovoltaic power generation prediction curve over time, the product of the building power demand and time is subtracted from the total photovoltaic power generation prediction curve to obtain the difference. If the difference is positive, the cumulative power generation is a surplus, indicating that the current photovoltaic power generation effect can meet the current building's electricity needs. If the difference is negative, the cumulative power generation is a deficit, indicating that the current photovoltaic power generation effect is not meeting the requirements. During daily daylight hours, the angle of sunlight changes due to the Earth's rotation, which affects the light intensity. While the angle of some photovoltaic panels is adjustable, it cannot be rotated in real time and requires pre-adjustment. When the difference is negative, the photovoltaic panels can be pre-adjusted to find the optimal photovoltaic panel angle for a better total power generation on the predicted day. Some photovoltaic panel models are equipped with automatic adjustment devices that allow the panels to rotate with the movement of the sun.

[0047] In this embodiment, a digital twin containing the characteristics of the photovoltaic panel installation location is constructed by combining the building model with the installation data of the photovoltaic panels, and the power generation history data and light data are substituted into the digital twin to construct the correlation between the light and power generation power of each photovoltaic panel. The digital twin is trained, and the predicted light weather data is substituted into the digital twin to predict the power generation power of the photovoltaic panels. Photovoltaic power generation is monitored based on the total photovoltaic power generation power change prediction curve, which improves the monitoring efficiency of photovoltaic panel power generation, enables remote operation and maintenance management of photovoltaic panels, and reduces the operation and maintenance costs of photovoltaic power generation.

[0048] The above is a detailed description of the first embodiment of a photovoltaic panel control method based on photovoltaic power generation data provided by this application. The following is a detailed description of the second embodiment of a photovoltaic panel control method based on photovoltaic power generation data provided by this application.

[0049] In this embodiment, a photovoltaic panel control method based on photovoltaic power generation data is further provided. After the power generation history data of each photovoltaic panel is associated with the first illumination data according to the time relationship in the aforementioned step S100, a relationship between illumination and power generation of each photovoltaic panel is constructed, specifically:

[0050] Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows:

[0051] ;

[0052] in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels;

[0053] It should be noted that the power generation of photovoltaic modules is related to the light intensity, the area of ​​photovoltaic modules and the conversion efficiency. The light intensity is affected by the thickness of clouds and visibility in the weather, as well as the angle of the sun shining on the current building's latitude. The basic light intensity is The specific date also needs to be taken into account when calculating the time. For example, the basic light intensity of a day in the northern hemisphere during the summer is greater than that in the northern hemisphere during the winter because the sun is closer. Sunlight can be regarded as parallel light, so the angle of sunlight that changes during the rotation of the earth will affect the power generation of the photovoltaic panel. The closer the incident angle is to vertical, the higher the power generation efficiency. Therefore, based on the difference between the installation angle of the photovoltaic panel and the angle of sunlight over time, the incident angle of light that changes with time can be obtained. When the angle is 0 or 180 degrees, it can be regarded as the photovoltaic panel facing away from the sunlight, and there is basically no power generation effect; the light energy conversion coefficient It is related to the materials, manufacturing process, dust and stains of each photovoltaic panel. When the corresponding coefficient is obtained from the relationship model between power generation and light data, if the light energy conversion coefficient If the value is lower than the preset threshold, it means that the photovoltaic panel has a fault and needs to be repaired or cleaned. A corresponding operation and maintenance signal should be issued and the photovoltaic panel parameters should be corrected. In step S100, it should be 1, and in step S200, the correction parameters of the photovoltaic panel are adjusted; the power generation power calculated in this embodiment is the power generation power per unit area, so there is no need to consider the area size of the photovoltaic panel, and the predicted earliest lighting time to the latest working time is generally the daytime time within a day, and the daytime time interval with lighting can be obtained based on weather forecast data.

[0054] Furthermore, in the aforementioned step S300, after determining whether the photovoltaic panels need to be adjusted based on the accumulated profit and loss of power generation, the method further includes: when it is determined that the photovoltaic panels need to be adjusted, obtaining the adjustable angle range of each photovoltaic panel installation, and identifying the optimal adjustment angle of the photovoltaic panel in the photovoltaic power generation model, wherein the photovoltaic power generation model is specifically:

[0055] ;

[0056] in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, is the maximum power generation of the photovoltaic panel;

[0057] It should be noted that the adjustable angle range of the photovoltaic panel is based on the installation surface and specifications of the photovoltaic panel. For example, the adjustable rotation angle of a photovoltaic panel is 90 degrees, that is, it can be adjusted 45 degrees to both sides when parallel to the installation surface. Based on the angle of the installation surface of the photovoltaic panel, its actual achievable orientation angle can be obtained; based on the parameters obtained in the above steps, the power generation of each angle of the photovoltaic panel adjustment can be predicted, and the optimal adjustment angle corresponding to the maximum power generation of the photovoltaic panel can be found. This embodiment is aimed at photovoltaic panels that can rotate but do not automatically follow the sun's rotation. Operation and maintenance personnel are required to predict the earliest sunlight time. The photovoltaic panel orientation angle was manually adjusted before, and arrive Maintain the optimal adjustment angle during the daytime ; After further finding the optimal fixed adjustment angle for each photovoltaic panel, the increase in power generation after adjusting the optimal angle of different photovoltaic panels is different, and the more photovoltaic panels that need to be adjusted, the higher the labor cost and the lower the efficiency. Therefore, the photovoltaic panels that need to be adjusted can be selected based on the minimum number of photovoltaic panels to increase the overall power generation, and control and operation and maintenance can be carried out to ensure the reliability and stability of the photovoltaic power generation system.

[0058] The above is a detailed description of a photovoltaic panel control method based on photovoltaic power generation data provided in the first aspect of this application. The following is a detailed description of an embodiment of a photovoltaic panel control system based on photovoltaic power generation data provided in the second aspect of this application.

[0059] See also Figure 2 , Figure 2 This embodiment provides a photovoltaic panel control system based on photovoltaic power generation data, including:

[0060] The photovoltaic digital twin construction module 10 is used to obtain historical illumination data and obtain first illumination data of each photovoltaic panel under the historical illumination data based on the preset digital twin; obtain historical power generation data of each photovoltaic panel, associate the historical power generation data of each photovoltaic panel with the first illumination data based on the time relationship, and construct the relationship between illumination and power generation of each photovoltaic panel;

[0061] The photovoltaic power generation monitoring module 20 is used to obtain current illumination data and obtain second illumination data of each photovoltaic panel under the current illumination data based on a preset digital twin; obtain current power generation data of each photovoltaic panel, substitute the second illumination data and the current power generation data into the relationship between illumination and power generation, and then correct the relationship between illumination and power generation;

[0062] The photovoltaic panel control and judgment module 30 is used to obtain light prediction data, and obtain the third light data of each photovoltaic panel under the light prediction data based on the preset digital twin; substitute the third light data into the relationship between light and power generation to obtain the power generation prediction data of each photovoltaic panel; identify the cumulative profit and loss of power generation in the total photovoltaic power generation power change prediction curve based on the preset building demand power, and judge whether the photovoltaic panel needs to be adjusted according to the cumulative profit and loss of power generation.

[0063] Furthermore, in the photovoltaic digital twin construction module 10, after associating the power generation history data of each photovoltaic panel with the first illumination data according to the time relationship, the relationship between the illumination and the power generation power of each photovoltaic panel is constructed, specifically:

[0064] Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows:

[0065] ;

[0066] in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels.

[0067] Furthermore, after determining whether the photovoltaic panels need to be adjusted based on the accumulated profit or loss of power generation, the photovoltaic panel control judgment module 30 further includes:

[0068] When it is determined that the photovoltaic panels need to be adjusted, the adjustable angle range of each photovoltaic panel is obtained, and the optimal adjustment angle of the photovoltaic panel is identified in the photovoltaic power generation model. The photovoltaic power generation model is specifically:

[0069] ;

[0070] in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, The maximum power generation of the photovoltaic panel.

[0071] The third aspect of the present application also provides a photovoltaic panel control method device based on photovoltaic power generation data, including a processor and a memory: the memory is used to store program code and transmit the program code to the processor; the processor is used to execute the above-mentioned photovoltaic panel control method based on photovoltaic power generation data according to the instructions in the program code.

[0072] A fourth aspect of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program code, and the program code is used to execute the above-mentioned photovoltaic panel control method based on photovoltaic power generation data.

[0073] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0074] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0075] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0076] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0077] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0078] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A photovoltaic panel control method based on photovoltaic power generation data, characterized in that include: Obtain historical illumination data, and obtain first illumination data of each photovoltaic panel under the historical illumination data based on a preset digital twin; Acquire historical power generation data of each photovoltaic panel, associate the historical power generation data of each photovoltaic panel with the first illumination data according to a time relationship, and construct a relationship between illumination and power generation of each photovoltaic panel; Obtain current illumination data, and obtain second illumination data for each photovoltaic panel under the current illumination data based on the preset digital twin; obtain current power generation data for each photovoltaic panel, substitute the second illumination data and current power generation data into the relationship between illumination and power generation, and then correct the relationship between illumination and power generation; Obtain illumination prediction data, and obtain the third illumination data of each photovoltaic panel under the illumination prediction data based on the preset digital twin; substitute the third illumination data into the relationship between illumination and power generation to obtain the power generation prediction data of each photovoltaic panel; identify the cumulative profit and loss of power generation in the total photovoltaic power generation power change prediction curve based on the preset building demand power, and determine whether the photovoltaic panels need to be adjusted based on the cumulative profit and loss of power generation.

2. A photovoltaic panel control method based on photovoltaic power generation data according to claim 1, characterized in that: After associating the power generation history data of each photovoltaic panel with the first illumination data according to the time relationship, a relationship between illumination and power generation of each photovoltaic panel is constructed, specifically: Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows: ； in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels.

3. The photovoltaic panel control method based on photovoltaic power generation data according to claim 1, characterized in that: After determining whether the photovoltaic panels need to be adjusted based on the accumulated profit and loss of power generation, the method further includes: When it is determined that the photovoltaic panels need to be adjusted, the adjustable angle range of each photovoltaic panel is obtained, and the optimal adjustment angle of the photovoltaic panel is identified in the photovoltaic power generation model. The photovoltaic power generation model is specifically: ； in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, The maximum power generation of the photovoltaic panel.

4. A photovoltaic panel control system based on photovoltaic power generation data, characterized in that: include: A photovoltaic digital twin construction module is used to obtain historical lighting data and obtain the first lighting data of each photovoltaic panel under the historical lighting data based on the preset digital twin; Acquire historical power generation data of each photovoltaic panel, associate the historical power generation data of each photovoltaic panel with the first illumination data according to a time relationship, and construct a relationship between illumination and power generation of each photovoltaic panel; The photovoltaic power generation monitoring module is used to obtain the current light data and obtain the second light data of each photovoltaic panel under the current light data based on the preset digital twin; obtain the current power generation data of each photovoltaic panel, substitute the second light data and the current power generation data into the relationship between light and power generation, and then correct the relationship between light and power generation; The photovoltaic panel control and judgment module is used to obtain light prediction data and obtain the third light data of each photovoltaic panel under the light prediction data based on the preset digital twin; the third light data is substituted into the relationship between light and power generation to obtain the power generation prediction data of each photovoltaic panel; based on the preset building demand power, the cumulative profit and loss of power generation is identified in the total photovoltaic power generation power change prediction curve, and whether the photovoltaic panel needs to be adjusted according to the cumulative profit and loss of power generation.

5. A photovoltaic panel control system based on photovoltaic power generation data according to claim 4, characterized in that: In the photovoltaic digital twin construction module, after associating the power generation history data of each photovoltaic panel with the first illumination data according to the time relationship, the relationship between the illumination and the power generation of each photovoltaic panel is constructed, specifically: Based on the historical power generation data, a relationship between the power generation of photovoltaic panels and time is constructed. Based on the illumination data, a relationship between the light intensity and time and the sunlight angle are constructed and substituted into the relationship model between power generation and illumination data. The relationship model between power generation and illumination data is specifically as follows: ； in, is the relationship between the power generated by the photovoltaic panel and time, To predict the earliest light exposure time, To predict the latest light time, is the light energy conversion coefficient, is the basic relationship between light intensity and time, is the installation angle of the photovoltaic panel, is the relationship between the angle of sunlight and time, Correct parameters for photovoltaic panels.

6. A photovoltaic panel control system based on photovoltaic power generation data according to claim 4, characterized in that: The photovoltaic panel control judgment module further includes: When it is determined that the photovoltaic panels need to be adjusted, the adjustable angle range of each photovoltaic panel is obtained, and the optimal adjustment angle of the photovoltaic panel is identified in the photovoltaic power generation model. The photovoltaic power generation model is specifically: ； in, For the optimal adjustment angle of the photovoltaic panel, The minimum adjustable angle of the photovoltaic panel, The maximum adjustable angle of the photovoltaic panel, The maximum power generation of the photovoltaic panel.

7. A photovoltaic panel control device based on photovoltaic power generation data, characterized in that: The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the photovoltaic panel control method based on photovoltaic power generation data according to any one of claims 1 to 3 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute the photovoltaic panel control method based on photovoltaic power generation data according to any one of claims 1 to 3.

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