Control method and device of photovoltaic power generation system

Abstract

The invention provides a control method and device of a photovoltaic power generation system. The method comprises the following steps: acquiring geographic position data and operation state data of a photovoltaic power generation system; preprocessing the geographic position data and the operation state data to obtain preprocessed data; predicting generating capacity data of the photovoltaic power generation system according to the preprocessed data to obtain a generating capacity prediction result; according to the generating capacity prediction result, determining an adjustment parameter; and controlling the photovoltaic power generation system to operate according to the adjustment parameters. According to the method, the geographic position data and the operation state data of the photovoltaic power generation system are acquired, the power generation amount is predicted, the adjustment parameters are determined, the photovoltaic power generation system is controlled to operate according to the adjustment parameters, the workload of manually adjusting components in the photovoltaic power generation system is reduced, and the efficiency of adjusting the components in the photovoltaic power generation system is improved. The photovoltaic power generation system is automatically adjusted according to the adjusting parameters, the control efficiency of the photovoltaic power generation system is improved, and the labor cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and also to a control method and device for a photovoltaic power generation system. Background Art

[0002] By predicting the power generation of photovoltaic power generation systems, power generation companies can better formulate power generation plans, rationally plan power generation tasks, and improve power generation efficiency. However, in the existing technology, after predicting the power generation of photovoltaic power generation systems, photovoltaic power generation is generally increased by timely cleaning, repairing and adjusting photovoltaic components, which is less intelligent and has high labor costs and workload. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a control method and device for a photovoltaic power generation system, so as to improve the control efficiency of the photovoltaic power generation system and reduce the manual workload.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] A first aspect of the present invention provides a control method for a photovoltaic power generation system, comprising:

[0006] Obtain geographic location data and operating status data of photovoltaic power generation systems;

[0007] Preprocessing the geographic location data and the operating status data to obtain preprocessed data;

[0008] Predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result;

[0009] Determining adjustment parameters according to the power generation prediction result;

[0010] The photovoltaic power generation system is controlled to operate according to the adjustment parameters.

[0011] Optionally, obtain the geographic location data and operating status data of the photovoltaic power generation system, including:

[0012] Obtain the latitude and longitude data, altitude data and climate condition data of the photovoltaic power generation system;

[0013] Obtain photovoltaic panel installation data, photovoltaic module data and configuration data of the photovoltaic power generation system;

[0014] Obtaining geographic location data according to the latitude and longitude data, the altitude data and the climate condition data;

[0015] Operation status data is obtained according to the photovoltaic panel installation data, the photovoltaic component data and the configuration data.

[0016] Optionally, preprocessing the geographic location data and the operating status data to obtain preprocessed data includes:

[0017] Performing data cleaning on the geographic location data to obtain cleaned data;

[0018] Performing format conversion on the cleaned data to obtain converted data;

[0019] Performing standardization processing on the operating status data to obtain standardized data;

[0020] Verifying the standardized data to obtain verification data;

[0021] Classifying the verification data to obtain classified data;

[0022] Preprocessing data is obtained according to the conversion data and the classification data.

[0023] Optionally, predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result includes:

[0024] Inputting the preprocessed data into the original power generation prediction model for prediction processing to obtain the original power generation prediction result;

[0025] The original power generation prediction result is adjusted according to the preset evaluation conditions to obtain the power generation prediction result.

[0026] Optionally, the preprocessed data is input into an original power generation prediction model for prediction processing to obtain an original power generation prediction result, including:

[0027] The pre-processed data is input into the original power generation prediction model E = P × t and P t = P STC × G(t) G STC ×[1+ k T t - T STC ] , get the original power generation prediction result;

[0028] Among them, E is the power generation prediction result, P is the output power of the photovoltaic array, which is a function that changes with time t, t is time, is the PV array output power at time t, is the rated power of the PV module under standard test conditions determined according to the operating status data in the preprocessing data, G(t) is the solar irradiance at time t determined according to the geographic location data in the preprocessing data, is the solar irradiance under standard test conditions, k is the temperature coefficient, T(t) is the temperature of the photovoltaic module at time t, is the temperature of the PV module under standard test conditions.

[0029] Optionally, determining adjustment parameters according to the power generation prediction result includes:

[0030] Determining a difference according to the power generation forecast result and the preset power generation demand;

[0031] According to the difference, an adjustment parameter is determined; the adjustment parameter includes at least one of a photovoltaic panel adjustment parameter, a photovoltaic component adjustment parameter, an inverter adjustment parameter and a photovoltaic array parameter.

[0032] Optionally, controlling the photovoltaic power generation system to operate according to the adjustment parameters includes:

[0033] Converting the adjustment parameters into a control parameter;

[0034] The photovoltaic power generation system is controlled to operate according to the control parameters.

[0035] A second aspect of the present invention provides a control device for a photovoltaic power generation system, comprising:

[0036] An acquisition module, used to acquire geographic location data and operating status data of the photovoltaic power generation system;

[0037] A first processing module, used for preprocessing the geographic location data and the operating status data to obtain preprocessed data;

[0038] A second processing module is used to predict the power generation data of the photovoltaic power generation system according to the pre-processed data to obtain a power generation prediction result;

[0039] A third processing module, used to determine the adjustment parameters according to the power generation prediction result;

[0040] The fourth processing module is used to control the photovoltaic power generation system to operate according to the adjustment parameters.

[0041] According to a third aspect of the present invention, a computing device is provided, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to the first aspect is executed.

[0042] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the method described in the first aspect.

[0043] The above solution of the present invention includes at least the following beneficial effects:

[0044] The above scheme of the present invention predicts the power generation by acquiring the geographical location data and operating status data of the photovoltaic power generation system, and then determines the adjustment parameters, and controls the photovoltaic power generation system to operate according to the adjustment parameters, thereby reducing the workload of manual adjustment of components in the photovoltaic power generation system, realizing automatic adjustment of the photovoltaic power generation system according to the adjustment parameters, improving the control efficiency of the photovoltaic power generation system, and reducing labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a control method for a photovoltaic power generation system in an embodiment of the present invention;

[0046] Figure 2 Schematic diagram of the structure of the control device of the photovoltaic power generation system in the embodiment of the present invention. DETAILED DESCRIPTION

[0047] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0048] like Figure 1 As shown, an embodiment of the present invention provides a control method for a photovoltaic power generation system, comprising the following steps:

[0049] Step 101, obtaining geographic location data and operating status data of a photovoltaic power generation system;

[0050] Step 102, preprocessing the geographic location data and the operating status data to obtain preprocessed data;

[0051] Step 103, predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result;

[0052] Step 104, determining adjustment parameters according to the power generation prediction result;

[0053] Step 105: Control the photovoltaic power generation system to operate according to the adjustment parameters.

[0054] The control method of the photovoltaic power generation system proposed in the embodiment of the present invention predicts the power generation by acquiring the geographical location data and operating status data of the photovoltaic power generation system, and then determines the adjustment parameters, and controls the photovoltaic power generation system to operate according to the adjustment parameters, thereby reducing the workload of manually adjusting the components in the photovoltaic power generation system, realizing automatic adjustment of the photovoltaic power generation system according to the adjustment parameters, improving the control efficiency of the photovoltaic power generation system, and reducing labor costs.

[0055] In an optional embodiment of the present invention, step 101 includes:

[0056] Step 1011, obtaining the latitude and longitude data, altitude data and climate condition data of the photovoltaic power generation system;

[0057] Specifically, longitude and latitude data are the location data of the photovoltaic power generation system. Longitude mainly affects the time of sunrise and sunset, thus affecting the effective time of photovoltaic power generation system. Latitude mainly affects the solar altitude angle, which in turn affects the intensity of solar radiation. Altitude data mainly affects the intensity of solar radiation; climate condition data such as annual average sunshine duration, radiation, temperature, humidity, etc. also have a certain impact on the power generation of photovoltaic power generation system.

[0058] Step 1012, obtaining photovoltaic panel installation data, photovoltaic module data and configuration data of the photovoltaic power generation system;

[0059] Specifically, photovoltaic panel installation data may include the area, orientation, tilt angle, shadowing, etc. of the photovoltaic panels installed; photovoltaic module data may include module type (such as monocrystalline silicon, polycrystalline silicon, etc.), power, conversion efficiency, temperature coefficient, etc.; configuration data may include inverter model and efficiency, cable loss, system maintenance plan, etc. used in the photovoltaic power generation system. These data play an important role in predicting the power generation of photovoltaic power generation systems.

[0060] Step 1013, obtaining geographic location data according to the latitude and longitude data, the altitude data and the climate condition data;

[0061] Specifically, the geographic location data includes the latitude and longitude data, altitude data and climate condition data mentioned above, which provide basic data for subsequent power generation prediction.

[0062] Step 1014, obtaining operation status data according to the photovoltaic panel installation data, the photovoltaic component data and the configuration data.

[0063] Specifically, the operating status data includes the photovoltaic panel installation data, photovoltaic module data and configuration data mentioned above, which provide basic data for subsequent power generation prediction.

[0064] In an optional embodiment of the present invention, step 102 includes:

[0065] Step 1021, performing data cleaning on the geographic location data to obtain cleaned data;

[0066] Specifically, the geographic location data can be cleaned, such as checking whether the geographic location data is complete and accurate, and removing duplicate, abnormal or invalid data. For example, if the collected sunshine duration data has obvious errors (such as negative values ​​or values ​​that are far higher than normal), it needs to be treated as an outlier and removed. This is conducive to improving the accuracy of the data, as well as the accuracy and reliability of subsequent predictions.

[0067] Step 1022, performing format conversion on the cleaned data to obtain converted data;

[0068] Specifically, the climate condition data in the cleaned geographic location data can be converted into a format suitable for the input of the original power generation prediction model. For example, the average annual sunshine duration can be converted from hours to kilowatt-hours per square meter of radiation to facilitate model processing and improve processing efficiency.

[0069] Step 1023, performing standardization processing on the operating status data to obtain standardized data;

[0070] Specifically, the photovoltaic panel installation data in the operating status data can be standardized, such as converting the photovoltaic panel installation data into a unified unit of measurement, such as converting the area from square meters to square feet. The conversion can be performed according to the units used by the prediction model, which is conducive to improving processing efficiency.

[0071] Step 1024, verifying the standardized data to obtain verification data;

[0072] Specifically, the accuracy and consistency of standardized data need to be calibrated to improve the reliability of the data. For example, when comparing PV module data with the data provided by the manufacturer, if the data of a certain PV module is obviously inconsistent with the standard value provided by the manufacturer, it is necessary to check whether there is a problem with the PV module data and adjust or replace the data.

[0073] Step 1025, classifying the verification data to obtain classified data;

[0074] Specifically, the verification data may be classified according to the orientation and tilt angle of the photovoltaic panels, so that power generation prediction and adjustment of photovoltaic power generation system control parameters can be performed based on the classified data.

[0075] Step 1026, obtaining preprocessed data according to the converted data and the classified data.

[0076] Specifically, the preprocessed data includes conversion data (ie, preprocessed geographic location data) and classification data (ie, preprocessed operating status data).

[0077] In an optional embodiment of the present invention, step 103 includes:

[0078] Step 1031, inputting the preprocessed data into the original power generation prediction model for prediction processing to obtain the original power generation prediction result;

[0079] Specifically, the original power generation prediction model is constructed based on the acquired historical geographic location data and historical operation status data. In practical applications, the original power generation prediction model can also be constructed based on actual conditions or selected data. Here, the preprocessed data is input into the original power generation prediction model, and the original power generation prediction model can give the original power generation prediction result, which can include daily power generation, monthly power generation, annual power generation and long-term power generation prediction, etc. The time t to be predicted (which can be day, month, year, etc.) can be selected as needed.

[0080] Step 1032: adjusting the original power generation prediction result according to the preset evaluation conditions to obtain the power generation prediction result.

[0081] Specifically, since the original power generation forecast result is predicted based on the relevant data obtained, but in actual scenarios, there may be abnormal conditions such as abnormal weather and equipment failure, the original power generation forecast result needs to be adjusted according to the preset evaluation conditions to improve the accuracy of the power generation forecast result. Here, the preset evaluation conditions may include:

[0082] Analyze the probability and impact of extreme weather through historical meteorological data and weather forecasts;

[0083] Assess the probability and impact of equipment failure based on equipment maintenance records, failure rates, and manufacturer-provided data;

[0084] According to the above preset evaluation conditions, the original power generation forecast results can be adjusted to make the power generation forecast results closer to the actual situation.

[0085] A specific embodiment is:

[0086] If the preset evaluation condition is: According to historical meteorological data and weather forecast, it is expected that the area where the photovoltaic power generation system is located may experience long-term rainy weather in the next year, which will lead to a decrease in the power generation of the photovoltaic power generation system. Therefore, according to the probability and impact of rainy weather, the original power generation forecast result is adjusted downward to obtain the power generation forecast result.

[0087] If the preset evaluation condition is: based on the maintenance record and failure rate of the equipment, it is expected that the photovoltaic modules may fail in the next year, resulting in power generation loss. Therefore, the original power generation forecast result is adjusted downward to obtain the power generation forecast result.

[0088] In an optional embodiment of the present invention, step 1031 includes:

[0089] The pre-processed data is input into the original power generation prediction model E = P × t and P t = P STC × G(t) G STC ×[1+ k T t - T STC ] , get the original power generation prediction result;

[0090] Among them, E is the power generation prediction result, P is the output power of the photovoltaic array, which is a function that changes with time t, t is time, is the PV array output power at time t, is the rated power of the PV module under standard test conditions determined according to the operating status data in the preprocessing data, G(t) is the solar irradiance at time t determined according to the geographic location data in the preprocessing data, is the solar irradiance under standard test conditions, k is the temperature coefficient, T(t) is the temperature of the photovoltaic module at time t, is the temperature of the PV module under standard test conditions.

[0091] Here, firstly, the values ​​of the relevant parameters in the formula are determined according to the preprocessing data, such as the rated power of the photovoltaic module under standard test conditions determined according to the operating status data in the preprocessing data. Etc. Among them, time t is the period of time for which power generation needs to be predicted, such as a certain day, month, year, etc. in the future, and the specific value of t is selected according to the needs. It is determined based on the operating status data in the pre-processing data. The photovoltaic module is tested under standard test conditions (STC, usually refers to an irradiance of 1000 , the rated power of the photovoltaic module at 25°C. The type, size, conversion efficiency and other data of the photovoltaic panel determine its output power under standard test conditions; G(t) is the solar irradiance at time t determined by the geographical location data in the preprocessing data. The geographical location determines the climate zone and solar radiation of the photovoltaic power generation system. The actual irradiance at different time points can be obtained through meteorological data or solar radiation measurement equipment; is the standard test condition (usually 1000 ) under solar irradiance; is the temperature of the PV module under standard test conditions, usually 25°C; k is the temperature coefficient, which indicates the rate at which the output power of the PV module changes with temperature, usually a negative value (because the output power usually decreases with increasing temperature).

[0092] In an optional embodiment of the present invention, step 104 includes:

[0093] Step 1041, determining a difference according to the power generation prediction result and the preset power generation demand;

[0094] Specifically, the power generation forecast result reflects the power generation capacity of the photovoltaic power generation system in the future period of time, which may differ from the actual power generation demand, such as the power generation forecast result is greater than the power generation of the preset power generation demand (the difference is a positive number in this case), or the power generation forecast result is less than the power generation of the preset power generation demand (the difference is a negative number in this case).

[0095] Step 1042, determining an adjustment parameter according to the difference; the adjustment parameter includes at least one of a photovoltaic panel adjustment parameter, a photovoltaic module adjustment parameter, an inverter adjustment parameter and a photovoltaic array parameter;

[0096] Specifically, if the difference is negative, it means that the power generation is less than the preset power generation demand. At this time, the power generation of the system needs to be increased. Therefore, the working voltage, current and other parameters of the photovoltaic panel need to be adjusted. The tilt angle and orientation of the photovoltaic panel can also be adjusted to maximize the reception of solar radiation and improve power generation efficiency. A high-efficiency inverter can also be selected to ensure that it works in the best state, or the layout and connection method of the photovoltaic array can be adjusted. The power generation can be increased by combining multiple adjustment methods. Among them, the adjustment schemes for the working voltage, current and other parameters of the photovoltaic panel, the adjustment schemes for the tilt angle and orientation of the photovoltaic panel, the selection scheme of the inverter power and other specific adjustment methods or parameters can be used as adjustment parameters.

[0097] Specifically, the adjustment parameters may include: the working voltage of the photovoltaic panel is 40 volts, the current is 25 milliamperes per square centimeter, the tilt angle of the photovoltaic panel is 27 degrees, the direction of the photovoltaic panel is due south, and the inverter power is 3 kilowatts.

[0098] In an optional embodiment of the present invention, step 105 includes:

[0099] Step 1051, converting the adjustment parameters into a format to obtain control parameters;

[0100] Specifically, the adjustment parameters can be converted accordingly according to the input format acceptable to the control system of the photovoltaic power generation system to obtain control parameters, which are convenient for input into the control system and improve control efficiency.

[0101] Step 1052: Control the photovoltaic power generation system to operate according to the control parameters.

[0102] Specifically, the control parameters are input into the control system of the photovoltaic power generation system so that the photovoltaic power generation system operates according to the control parameters to increase the power generation of the photovoltaic power generation system.

[0103] A specific embodiment of the control method of the photovoltaic power generation system proposed in the embodiment of the present invention is:

[0104] Step 111, obtaining photovoltaic power generation system data;

[0105] Obtain the geographic location data of the photovoltaic power generation system, such as longitude and latitude data, altitude data and climate condition data; obtain the operating status data of the photovoltaic power generation system, such as photovoltaic panel installation data, photovoltaic module data and configuration data.

[0106] Step 112, preprocessing the data;

[0107] As needed, you can choose to pre-process the data, such as data cleaning, format conversion, standardization, verification and classification, to improve the accuracy of the data and subsequent power generation forecasts.

[0108] Step 113, power generation prediction;

[0109] The preprocessed data is input into the original power generation prediction model for power generation prediction, and the prediction results are adjusted according to possible abnormal conditions such as weather anomalies and equipment failures to obtain the final prediction results in order to improve the reliability of the prediction results.

[0110] Step 114, determining adjustment parameters;

[0111] According to the final prediction result and the power generation demand in the preset power generation demand, the difference is determined. If the difference is a positive number, it means that the expected power generation of the photovoltaic power generation system cannot meet the preset power generation demand. Therefore, the photovoltaic power generation system needs to be adjusted to increase the expected power generation. Among them, the adjustment method can include adjusting the working voltage, current and other parameters of the photovoltaic panel, adjusting the tilt angle and direction of the photovoltaic panel, selecting a high-efficiency inverter, etc. The data of the specific adjustment plan is used as the adjustment parameter.

[0112] Step 115, controlling the photovoltaic power generation system to operate according to the adjustment parameters.

[0113] The adjustment parameters are converted into an input format acceptable to the control system of the photovoltaic power generation system and input into the control system of the photovoltaic power generation system so that the photovoltaic power generation system operates according to the control parameters to increase the power generation of the photovoltaic power generation system.

[0114] The control method of the photovoltaic power generation system proposed in the embodiment of the present invention predicts the power generation according to the relevant data of the photovoltaic power generation system obtained, and determines the adjustment parameters and control parameters, which is conducive to improving the power generation of the photovoltaic power generation system and meeting the power generation demand.

[0115] like Figure 2 As shown, an embodiment of the present invention provides a control device 200 for a photovoltaic power generation system, comprising:

[0116] An acquisition module 201 is used to acquire geographic location data and operating status data of a photovoltaic power generation system;

[0117] A first processing module 202, used for preprocessing the geographic location data and the operating status data to obtain preprocessed data;

[0118] The second processing module 203 is used to predict the power generation data of the photovoltaic power generation system according to the pre-processed data to obtain a power generation prediction result;

[0119] A third processing module 204 is used to determine adjustment parameters according to the power generation prediction result;

[0120] The fourth processing module 205 is used to control the photovoltaic power generation system to operate according to the adjustment parameters.

[0121] Optionally, obtain the geographic location data and operating status data of the photovoltaic power generation system, including:

[0122] Obtain the latitude and longitude data, altitude data and climate condition data of the photovoltaic power generation system;

[0123] Obtain photovoltaic panel installation data, photovoltaic module data and configuration data of the photovoltaic power generation system;

[0124] Obtaining geographic location data according to the latitude and longitude data, the altitude data and the climate condition data;

[0125] Operation status data is obtained according to the photovoltaic panel installation data, the photovoltaic component data and the configuration data.

[0126] Optionally, preprocessing the geographic location data and the operating status data to obtain preprocessed data includes:

[0127] Performing data cleaning on the geographic location data to obtain cleaned data;

[0128] Performing format conversion on the cleaned data to obtain converted data;

[0129] Performing standardization processing on the operating status data to obtain standardized data;

[0130] Verifying the standardized data to obtain verification data;

[0131] Classifying the verification data to obtain classified data;

[0132] Preprocessing data is obtained according to the conversion data and the classification data.

[0133] Optionally, predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result includes:

[0134] Inputting the preprocessed data into the original power generation prediction model for prediction processing to obtain the original power generation prediction result;

[0135] The original power generation prediction result is adjusted according to the preset evaluation conditions to obtain the power generation prediction result.

[0136] Optionally, the preprocessed data is input into an original power generation prediction model for prediction processing to obtain an original power generation prediction result, including:

[0137] The pre-processed data is input into the original power generation prediction model E = P × t and P t = P STC × G(t) G STC ×[1+ k T t - T STC ] , get the original power generation prediction result;

[0138] Among them, E is the power generation prediction result, P is the output power of the photovoltaic array, which is a function that changes with time t, t is time, is the PV array output power at time t, is the rated power of the PV module under standard test conditions determined according to the operating status data in the preprocessing data, G(t) is the solar irradiance at time t determined according to the geographic location data in the preprocessing data, is the solar irradiance under standard test conditions, k is the temperature coefficient, T(t) is the temperature of the photovoltaic module at time t, is the temperature of the PV module under standard test conditions.

[0139] Optionally, determining adjustment parameters according to the power generation prediction result includes:

[0140] Determining a difference according to the power generation forecast result and the preset power generation demand;

[0141] According to the difference, an adjustment parameter is determined; the adjustment parameter includes at least one of a photovoltaic panel adjustment parameter, a photovoltaic component adjustment parameter, an inverter adjustment parameter and a photovoltaic array parameter.

[0142] Optionally, controlling the photovoltaic power generation system to operate according to the adjustment parameters includes:

[0143] Converting the adjustment parameters into a control parameter;

[0144] The photovoltaic power generation system is controlled to operate according to the control parameters.

[0145] The control device of the photovoltaic power generation system proposed in the embodiment of the present invention obtains the geographical location data and operating status data of the photovoltaic power generation system, predicts the power generation, and then determines the adjustment parameters, and controls the photovoltaic power generation system to operate according to the adjustment parameters, thereby reducing the workload of manually adjusting the components in the photovoltaic power generation system, realizing automatic adjustment of the photovoltaic power generation system according to the adjustment parameters, improving the control efficiency of the photovoltaic power generation system, and reducing labor costs.

[0146] It should be noted that the device is a device corresponding to the above method, and all implementations in the above method embodiment are applicable to the embodiment of the device and can achieve the same technical effect. This embodiment will not be repeated.

[0147] The embodiment of the present invention further provides a computing device, comprising: a processor, and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described in any one of the above embodiments is executed. All implementations in the above method embodiments are applicable to the embodiments of the device, and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0148] The embodiment of the present invention further provides a computer-readable storage medium on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0149] It should be noted that, in the above-mentioned embodiments, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the implementation of the above-mentioned embodiments is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0150] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A control method for a photovoltaic power generation system, characterized in that: include: Obtain geographic location data and operating status data of photovoltaic power generation systems; Preprocessing the geographic location data and the operating status data to obtain preprocessed data; Predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result; Determining adjustment parameters according to the power generation prediction result; The photovoltaic power generation system is controlled to operate according to the adjustment parameters.

2. The control method of the photovoltaic power generation system according to claim 1, characterized in that: Obtain the geographic location data and operating status data of the photovoltaic power generation system, including: Obtain the latitude and longitude data, altitude data and climate condition data of the photovoltaic power generation system; Obtain photovoltaic panel installation data, photovoltaic module data and configuration data of the photovoltaic power generation system; Obtaining geographic location data according to the latitude and longitude data, the altitude data and the climate condition data; Operation status data is obtained according to the photovoltaic panel installation data, the photovoltaic component data and the configuration data.

3. The control method of the photovoltaic power generation system according to claim 1, characterized in that: Preprocessing the geographic location data and the operating status data to obtain preprocessed data includes: Performing data cleaning on the geographic location data to obtain cleaned data; Performing format conversion on the cleaned data to obtain converted data; Performing standardization processing on the operating status data to obtain standardized data; Verifying the standardized data to obtain verification data; Classifying the verification data to obtain classified data; Preprocessing data is obtained according to the conversion data and the classification data.

4. The control method of the photovoltaic power generation system according to claim 1, characterized in that: Predicting the power generation data of the photovoltaic power generation system according to the preprocessed data to obtain a power generation prediction result includes: Inputting the preprocessed data into the original power generation prediction model for prediction processing to obtain the original power generation prediction result; The original power generation prediction result is adjusted according to the preset evaluation conditions to obtain the power generation prediction result.

5. The control method of the photovoltaic power generation system according to claim 4, characterized in that: The pre-processed data is input into the original power generation prediction model for prediction processing to obtain the original power generation prediction result, including: The pre-processed data is input into the original power generation prediction model E = P × t and , get the original power generation prediction result; Among them, E is the power generation prediction result, P is the output power of the photovoltaic array, which is a function that changes with time t, t is time, is the PV array output power at time t, is the rated power of the PV module under standard test conditions determined according to the operating status data in the preprocessing data, G(t) is the solar irradiance at time t determined according to the geographic location data in the preprocessing data, is the solar irradiance under standard test conditions, k is the temperature coefficient, T(t) is the temperature of the photovoltaic module at time t, is the temperature of the PV module under standard test conditions.

6. The control method of the photovoltaic power generation system according to claim 1, characterized in that: According to the power generation prediction result, determining the adjustment parameters includes: Determining a difference according to the power generation forecast result and the preset power generation demand; According to the difference, an adjustment parameter is determined; the adjustment parameter includes at least one of a photovoltaic panel adjustment parameter, a photovoltaic component adjustment parameter, an inverter adjustment parameter and a photovoltaic array parameter.

7. The control method of the photovoltaic power generation system according to claim 1, characterized in that: Controlling the photovoltaic power generation system to operate according to the adjustment parameters includes: Converting the adjustment parameters into a control parameter; The photovoltaic power generation system is controlled to operate according to the control parameters.

8. A control device for a photovoltaic power generation system, characterized in that: include: An acquisition module, used to acquire geographic location data and operating status data of the photovoltaic power generation system; A first processing module, used for preprocessing the geographic location data and the operating status data to obtain preprocessed data; A second processing module is used to predict the power generation data of the photovoltaic power generation system according to the pre-processed data to obtain a power generation prediction result; A third processing module, used to determine the adjustment parameters according to the power generation prediction result; The fourth processing module is used to control the photovoltaic power generation system to operate according to the adjustment parameters.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

Images