Photovoltaic power station dust loss calculation method, device, equipment and storage medium

Abstract

The present invention discloses a method, device, equipment and computer-readable storage medium for calculating dust loss in a photovoltaic power station, which includes: obtaining a first dust loss degree of a built reference power station; obtaining dust loss influencing factor values ​​measured in the reference power station and the area where the evaluation power station is located in a first time period, wherein the dust loss influencing factor values ​​include dustfall and / or precipitation days; calculating a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, converting the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power station. The present invention improves the accuracy of dust measurement in photovoltaic power stations.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power stations, and in particular to a method, device, equipment and computer-readable storage medium for calculating dust loss in a photovoltaic power station. Background Art

[0002] It has always been a big problem to accurately assess the power generation of photovoltaic power stations before they are built, because the power generation of power stations is greatly affected by environmental factors in the area where they are located. In addition to local irradiance, dust has the greatest impact on the power generation efficiency of power stations. Since dust is unevenly distributed and affected by seasons and weather, there is currently no good method for measuring dust losses in power stations.

[0003] At present, the assessment of dust loss in power plants is mainly based on on-site surveys and observations of pollution, combined with a rough estimate of the geographical area and precipitation of the power plant, and the accuracy depends on manual experience. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, device, equipment and computer-readable storage medium for calculating dust loss in a photovoltaic power station, aiming to propose a method for calculating the dust loss degree of an evaluation power station based on the dust loss degree of a reference power station and the dust loss influencing factor values ​​of both the reference power station and the evaluation power station, so as to improve the accuracy of dust loss calculation in a photovoltaic power station.

[0005] To achieve the above object, the present invention provides a method for calculating dust loss in a photovoltaic power station, the method comprising the following steps:

[0006] Obtaining the first dust loss degree of a built reference power station;

[0007] Obtain dust loss influencing factor values ​​measured in the reference power station and the evaluation power station respectively in the first time period, wherein the dust loss influencing factor values ​​include dust fall and / or precipitation days;

[0008] Calculate a first ratio between the values ​​of the dust loss influencing factors of the same type between the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the level of the dust loss influencing factor in the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

[0009] Optionally, the step of obtaining a first dust loss degree of a built reference power station includes:

[0010] Obtaining the initial power generation corresponding to the clean components and the comparison components in the reference power station, respectively, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust;

[0011] Obtaining a first power generation amount measured for the clean component that is kept clean in a second time period, and a second power generation amount measured for the comparison component that is not cleaned in the second time period;

[0012] A second ratio between the first power generation and the second power generation is calculated, and according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio is converted into a fourth ratio that is not affected by the difference between component monomers, and a first dust loss degree of the reference power station is calculated according to the fourth ratio.

[0013] Optionally, the photovoltaic power station dust loss calculation method further includes:

[0014] The cleaning device is controlled to clean the clean component at each predetermined time point during the second time period.

[0015] Optionally, when the dust loss influencing factor value includes the number of days with precipitation, the step of obtaining the number of days with precipitation measured in the areas where the reference power station and the evaluation power station are located in the first time period includes:

[0016] Acquire daily precipitation data measured in the areas where the reference power station and the evaluation power station are located during a first time period;

[0017] For any target day within the first time period, the precipitation data of the reference power station and the evaluation power station on the target day are respectively converted into cleaning effect values ​​corresponding to the precipitation data;

[0018] Calculate the first effective precipitation days of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and use the first effective precipitation days as the precipitation days measured in the area where the reference power station is located;

[0019] The second effective precipitation days of the evaluation power station in the first time period are calculated according to the daily cleaning effect value of the evaluation power station in the first time period, and the second effective precipitation days are used as the precipitation days measured in the area where the evaluation power station is located.

[0020] Optionally, the step of converting the precipitation data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation data includes:

[0021] Determine a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day;

[0022] Acquire a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the starting point of the comparison time;

[0023] Acquire a second difference between the measured power generation of the clean component and the measured power generation of the comparison component detected at the end point of the comparison time;

[0024] A third difference between the first difference and the second difference is calculated, and a cleaning effect value of the reference power station on the target day is determined according to the third difference.

[0025] Optionally, the step of determining a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day includes:

[0026] When the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the target day is used as the comparison time ending point, wherein the measured power generation of the clean components and the comparison components is the power generation of the components on the day detected at the end-of-day detection time point of each day within the first time period;

[0027] When the precipitation data of the reference power station on the target day indicate that there is snowfall on the target day and the average temperature is below zero, the end-of-day detection time point of the day before the target day is used as the starting time point for comparison, and the end-of-day detection time point of the snow melting day corresponding to the target day is used as the end time point for comparison.

[0028] Optionally, the step of converting the precipitation data of the evaluation power station on the target day into a cleaning effect value corresponding to the precipitation data includes:

[0029] Determine a reference day from preset sample days, wherein the precipitation conditions in a first time window corresponding to the reference day are consistent with the precipitation conditions in a second time window corresponding to the target day, the first time window is a time period consisting of the reference day and a preset number of days before the reference day, and the second time window is a time period consisting of the target day and the preset number of days before the target day;

[0030] The preset cleaning effect value corresponding to the precipitation condition in the first time window is used as the cleaning effect value of the evaluated power station on the target day.

[0031] Optionally, the precipitation data includes values ​​of multiple data items, and the step of determining a reference day from preset sample days includes:

[0032] For any target sample day among the preset sample days, compare the precipitation data of the same sorted day in the second time window and the third time window corresponding to the target sample day, wherein the third time window is a time period consisting of the target sample day and the preset number of days before the target sample day;

[0033] If the precipitation data of the same ranked day in the second time window and the third time window are consistent in correspondence, the target sample day is used as the reference day.

[0034] Optionally, when the dust loss influencing factor value includes dustfall amount and precipitation days, the step of calculating a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, converting the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power station includes:

[0035] Dividing the dust fall amount of the evaluation power station by the dust fall amount of the reference power station to obtain a dust fall amount ratio;

[0036] Dividing the number of precipitation days of the reference power station by the number of precipitation days of the evaluation power station to obtain a precipitation days ratio;

[0037] The second dust loss degree of the evaluated power station is obtained by multiplying the dust fall amount ratio, the precipitation days ratio and the first dust loss degree.

[0038] To achieve the above object, the present invention further provides a photovoltaic power station dust loss calculation device, the photovoltaic power station dust loss calculation device comprising:

[0039] A first acquisition module, used for acquiring a first dust loss degree of a built reference power station;

[0040] A second acquisition module is used to obtain dust loss influencing factor values ​​measured in the areas where the reference power station and the evaluation power station are located in a first time period, wherein the dust loss influencing factor values ​​include dust fall and / or precipitation days;

[0041] A calculation module is used to calculate a first ratio between the values ​​of the dust loss influencing factors of the same type between the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the level of the dust loss influencing factor in the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

[0042] To achieve the above-mentioned purpose, the present invention also provides a photovoltaic power station dust loss calculation device, the photovoltaic power station dust loss calculation device comprising: a memory, a processor and a photovoltaic power station dust loss calculation program stored in the memory and executable on the processor, the photovoltaic power station dust loss calculation program, when executed by the processor, implements the steps of the photovoltaic power station dust loss calculation method as described above.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also proposes a computer-readable storage medium, on which a photovoltaic power station dust loss calculation program is stored. When the photovoltaic power station dust loss calculation program is executed by a processor, the steps of the photovoltaic power station dust loss calculation method as described above are implemented.

[0044] In the present invention, by using the known dust loss degree of the reference power station that has been built, combined with the dust loss influencing factor values ​​such as the number of precipitation days and / or dust fall in both the reference power station and the evaluation power station, the dust loss degree of the reference power station is converted into the dust loss degree under the level of the dust loss influencing factor of the area where the evaluated power station is located. The calculation method is scientific and effective, and does not need to rely on manual experience estimation, thereby improving the accuracy of dust calculation of the evaluation power station. Moreover, the dust loss influencing factor values ​​such as the number of precipitation days and the dust fall can be obtained through measurement and detection, and no manual on-site investigation is required. In addition, the dust loss calculation scheme of the present invention is not only applicable to the evaluation power station that has been built, but also to the evaluation power station that has not been built, which is more conducive to the early calculation of the local dust loss in the power station site selection area. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of the structure of the hardware operating environment involved in the embodiment of the present invention;

[0046] Figure 2 It is a flow chart of a first embodiment of a method for calculating dust loss in a photovoltaic power station according to the present invention;

[0047] Figure 3 A schematic diagram of a measurement system architecture involved in an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram of the functional modules of a preferred embodiment of the photovoltaic power station dust loss calculation device of the present invention.

[0049] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0051] like Figure 1 As shown, Figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0052] It should be noted that the photovoltaic power station dust loss calculation device in the embodiment of the present invention can be a smart phone, a personal computer, a server and other devices, and no specific limitation is made here.

[0053] like Figure 1 As shown, the photovoltaic power station dust loss measurement device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0054] Those skilled in the art will understand that Figure 1 The device structure shown in the figure does not constitute a limitation on the dust loss calculation device for photovoltaic power plants, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0055] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a photovoltaic power plant dust loss calculation program. The operating system is a program that manages and controls the hardware and software resources of the device, and supports the operation of the photovoltaic power plant dust loss calculation program and other software or programs. Figure 1 In the device shown, the user interface 1003 is mainly used for data communication with the client; the network interface 1004 is mainly used for establishing a communication connection with the server; and the processor 1001 can be used to call the photovoltaic power station dust loss calculation program stored in the memory 1005, and perform the following operations:

[0056] Obtaining the first dust loss degree of a built reference power station;

[0057] Obtain dust loss influencing factor values ​​measured in the reference power station and the evaluation power station respectively in the first time period, wherein the dust loss influencing factor values ​​include dust fall and / or precipitation days;

[0058] Calculate a first ratio between the values ​​of the dust loss influencing factors of the same type between the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the level of the dust loss influencing factor in the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

[0059] Furthermore, the operation of obtaining the first dust loss degree of the built reference power station includes:

[0060] Obtaining the initial power generation corresponding to the clean components and the comparison components in the reference power station, respectively, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust;

[0061] Obtaining a first power generation amount measured for the clean component that is kept clean during a second time period, and a second power generation amount measured for the comparison component that is not cleaned during the second time period;

[0062] A second ratio between the first power generation and the second power generation is calculated, and according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio is converted into a fourth ratio that is not affected by the difference between component monomers, and a first dust loss degree of the reference power station is calculated according to the fourth ratio.

[0063] Furthermore, the processor 1001 may also be used to call the photovoltaic power station dust loss calculation program stored in the memory 1005 to perform the following operations:

[0064] The cleaning device is controlled to clean the clean component at each predetermined time point during the second time period.

[0065] Further, when the dust loss influencing factor value includes the number of days with precipitation, the operation of obtaining the number of days with precipitation measured in the areas where the reference power station and the evaluation power station are located in the first time period includes:

[0066] Acquire daily precipitation data measured in the areas where the reference power station and the evaluation power station are located during a first time period;

[0067] For any target day within the first time period, the precipitation data of the reference power station and the evaluation power station on the target day are respectively converted into cleaning effect values ​​corresponding to the precipitation data;

[0068] Calculate the first effective precipitation days of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and use the first effective precipitation days as the precipitation days measured in the area where the reference power station is located;

[0069] The second effective precipitation days of the evaluation power station in the first time period are calculated according to the daily cleaning effect value of the evaluation power station in the first time period, and the second effective precipitation days are used as the precipitation days measured in the area where the evaluation power station is located.

[0070] Further, the operation of converting the precipitation data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation data includes:

[0071] Determine a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day;

[0072] Acquire a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the starting point of the comparison time;

[0073] Acquire a second difference between the measured power generation of the clean component and the measured power generation of the comparison component detected at the end point of the comparison time;

[0074] A third difference between the first difference and the second difference is calculated, and a cleaning effect value of the reference power station on the target day is determined according to the third difference.

[0075] Further, the operation of determining a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day includes:

[0076] When the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the target day is used as the comparison time ending point, wherein the measured power generation of the clean components and the comparison components is the power generation of the components on the day detected at the end-of-day detection time point of each day within the first time period;

[0077] When the precipitation data of the reference power station on the target day indicate that there is snowfall on the target day and the average temperature is below zero, the end-of-day detection time point of the day before the target day is used as the starting time point for comparison, and the end-of-day detection time point of the snow melting day corresponding to the target day is used as the end time point for comparison.

[0078] Further, the operation of converting the precipitation data of the evaluation power station on the target day into a cleaning effect value corresponding to the precipitation data includes:

[0079] Determine a reference day from preset sample days, wherein the precipitation conditions in a first time window corresponding to the reference day are consistent with the precipitation conditions in a second time window corresponding to the target day, the first time window is a time period consisting of the reference day and a preset number of days before the reference day, and the second time window is a time period consisting of the target day and the preset number of days before the target day;

[0080] The preset cleaning effect value corresponding to the precipitation condition in the first time window is used as the cleaning effect value of the evaluated power station on the target day.

[0081] Furthermore, the precipitation data includes values ​​of multiple data items, and the operation of determining the reference day from the preset sample days includes:

[0082] For any target sample day among the preset sample days, compare the precipitation data of the same sorted day in the second time window and the third time window corresponding to the target sample day, wherein the third time window is a time period consisting of the target sample day and the preset number of days before the target sample day;

[0083] If the precipitation data of the same ranked day in the second time window and the third time window are consistent in correspondence, the target sample day is used as the reference day.

[0084] Further, when the dust loss influencing factor value includes dustfall and precipitation days, the operations of calculating a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, converting the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power station include:

[0085] Dividing the dust fall amount of the evaluation power station by the dust fall amount of the reference power station to obtain a dust fall amount ratio;

[0086] Dividing the number of precipitation days of the reference power station by the number of precipitation days of the evaluation power station to obtain a precipitation days ratio;

[0087] The second dust loss degree of the evaluated power station is obtained by multiplying the dust fall amount ratio, the precipitation days ratio and the first dust loss degree.

[0088] Based on the above structure, various embodiments of a method for calculating dust loss in a photovoltaic power station are proposed.

[0089] Reference Figure 2 , Figure 2 It is a flow chart of the first embodiment of the method for calculating dust loss in a photovoltaic power station according to the present invention.

[0090] The embodiment of the present invention provides an embodiment of a method for calculating dust loss in a photovoltaic power station. It should be noted that although the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than here. In this embodiment, the execution subject of the method for calculating dust loss in a photovoltaic power station may be a cloud platform, a personal computer, a smart phone, a server, etc., which is not limited in this embodiment. For ease of description, the following description is based on the calculation system as the execution subject for each embodiment. In this embodiment, the method for calculating dust loss in a photovoltaic power station includes:

[0091] Step S10, obtaining a first dust loss degree of a built reference power station;

[0092] Dust loss refers to the loss of power generation caused by dust accumulated on photovoltaic modules. Its direct effect is to reduce the power generation efficiency of the power station.

[0093] In this embodiment, a power station that has been built and used to assist in testing the dust loss of another power station is called a reference power station. In a specific application scenario, the reference power station can be a power station specifically used for experiments, or it can be a power station that has been built and put into operation, and this is not limited in this embodiment. Since the reference power station has been built, a certain means can be used to measure the dust loss of the reference power station (hereinafter referred to as the first dust loss for distinction). In this embodiment, there is no restriction on the method for measuring the first dust loss. For example, in one embodiment, two groups of photovoltaic components can be selected in the reference power station, one group of photovoltaic components is used as a clean component, which is kept clean by regular cleaning, and the other group of photovoltaic components is used as a comparison component without cleaning; the power generation of the two groups of components in the same period of time is measured, and the power generation of the clean component is subtracted from the power generation of the comparison component and divided by the power generation of the clean component, and the result is used as the first dust loss; the calculation system can directly obtain the first dust loss calculated according to this method, or it can obtain the power generation of the two groups of components detected by the power generation detection device, and then calculate the first dust loss according to the power generation.

[0094] Furthermore, in one embodiment, step S10 includes:

[0095] Step S101, obtaining initial power generation corresponding to the clean components and the comparison components in the reference power station, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust;

[0096] In this embodiment, a method for calculating the first dust loss degree is proposed. After the clean components and the comparison components in the reference power station are wiped clean of dust, the power generation of the clean components and the comparison components over a period of time can be detected by a power generation detection device (hereinafter referred to as initial power generation for distinction). It can be understood that the initial power generation is the power generation measured when the clean components and the comparison components are under the same external conditions, so the difference between the initial power generation of the two groups of components is the power generation difference caused by the difference in the individual components of the two groups. The specific implementation method of the power generation detection device is not limited in this embodiment. For example, a micro inverter can be used to connect the clean components and the comparison components for grid connection, and the power generation data of the two groups of components are collected by the micro inverter and uploaded to the measurement system.

[0097] The measurement system can obtain the initial power generation corresponding to the clean components and the comparison components respectively detected by the power generation detection device.

[0098] Step S102, obtaining a first power generation amount measured for the clean component that is kept clean in a second time period, and a second power generation amount measured for the comparison component that is not cleaned in the second time period;

[0099] The power generation of the clean component in the second time period (hereinafter referred to as the first power generation for distinction) can be detected by the power generation detection device. In the second time period, the clean component can be regularly cleaned by manual or automatic cleaning tools to keep the clean component clean. The power generation of the comparison component in the second time period (hereinafter referred to as the second power generation for distinction) can also be detected by the power generation detection device. In the second time period, the comparison component is not cleaned and is kept in a state of natural dust falling.

[0100] The measuring system can obtain the first power generation of the clean component and the second power generation of the comparison component detected by the power generation detection device.

[0101] Step S103, calculating a second ratio between the first power generation and the second power generation, converting the second ratio into a fourth ratio that is not affected by the difference between component monomers according to a third ratio between the initial power generation of the clean component and the comparison component, and calculating the first dust loss degree of the reference power station according to the fourth ratio.

[0102] After obtaining the first power generation and the second power generation, the measurement system can calculate the ratio between the first power generation and the second power generation (hereinafter referred to as the second ratio for distinction), and calculate the ratio between the initial power generation of the clean component and the initial power generation of the comparison component (hereinafter referred to as the third ratio for distinction). Since the difference in power generation between the clean component and the comparison component is not only affected by dust, but also by the differences in the individual components of the two groups of components. The measurement system can convert the second ratio into a fourth ratio that is not affected by the differences in the individual components based on the third ratio, and then calculate the first dust loss degree of the reference power station based on the fourth ratio to improve the accuracy of the calculated first dust loss degree, and then improve the accuracy of the dust loss degree of the evaluation power station calculated based on the first dust loss degree, that is, improve the accuracy of dust loss measurement.

[0103] The specific calculation method of converting the second ratio into the fourth ratio according to the third ratio is not limited in this embodiment. For example, when the second ratio is the ratio obtained by dividing the first power generation by the second power generation, and the third ratio is the ratio obtained by dividing the initial power generation of the clean component by the initial power generation of the comparison component, the second ratio can be divided by the third ratio to obtain the fourth ratio, and further, the fourth ratio can be subtracted by 1 to obtain the first dust loss degree.

[0104] Furthermore, in one embodiment, the photovoltaic power station dust loss calculation method further includes:

[0105] Step a: controlling a cleaning device to clean the clean component at each predetermined time point within the second time period.

[0106] In this embodiment, the cleaning device can be used to clean the clean component, and the cleaning device can be controlled by the measurement system to clean the clean component at each predetermined time point in the second time period. The predetermined time point can be set as needed, for example, set to 7 days every night in the second time period. The implementation method of the cleaning device is not limited here. For example, in one embodiment, tracks can be installed on both sides of the clean component, and the brush roller is driven by a motor. The motor drives the brush roller to move along the track to the clean component for cleaning, and returns to its position after cleaning.

[0107] Step S20, obtaining dust loss influencing factor values ​​measured in the reference power station and the evaluation power station respectively in the first time period, wherein the dust loss influencing factor values ​​include dust fall and / or precipitation days;

[0108] For a power station that has not yet started construction or is under construction, if the dust loss degree of the power station is to be calculated, the power station can be used as an evaluation power station. It should be noted that the loss calculation scheme of this embodiment is also applicable to the site selection stage of the evaluation power station, that is, to calculate the dust loss degree of the evaluation power station when the evaluation power station is established in the selected area.

[0109] Obtain the dust loss influencing factor values ​​measured in the reference power station and the evaluation power station respectively in the first time period. The evaluation power station may be located in the area where the evaluation power station is under construction or in the site selection area of ​​the evaluation power station that has not yet been built. The first time period may be set as needed, and is not limited in this embodiment. For example, one month may be selected. The first time period may be the same as or different from the second time period.

[0110] In this embodiment, the dust loss influencing factor value may include dustfall or precipitation days, or may include dustfall and precipitation days, or may also include other factor values ​​that may affect dust loss. It can be understood that the influence of dustfall on dust loss is that the greater the dustfall, the greater the dust loss; since precipitation (including rain and snowfall) can clean the dust on the surface of photovoltaic components, the influence of precipitation days on dust loss can be considered that the more precipitation days, the lower the dust loss. In a specific implementation, it is possible to determine which types of dust loss influencing factor values ​​to detect based on the influencing factors that may exist in a specific application scenario. For example, when the precipitation conditions in the area where the reference power station and the evaluation power station are located are relatively close, the dust fall is called the main influencing factor of dust loss. At this time, it is not necessary to detect the dust loss influencing factor value of precipitation days. For another example, when the dust fall in the area where the reference power station and the evaluation power station are located is relatively close, and the weather conditions are quite different, the precipitation days become the main influencing factor of dust loss. At this time, it is not necessary to detect the dust loss influencing factor value of dust fall.

[0111] In a specific embodiment, the dust fall amount in the two places can be collected by setting dust fall amount collection devices in the areas where the evaluation power station and the reference power station are located. In one embodiment, a photoelectric sensor can be used to detect dust particles in the atmosphere, and the cumulative dust fall amount is calculated according to the real-time dust particle concentration in the atmosphere, and the detected cumulative dust fall amount is uploaded to the measurement system through the photoelectric sensor. In another embodiment, considering that the real-time dust particle concentration in the atmosphere cannot be directly equivalent to the cumulative dust fall amount, the dust fall amount calculated according to this method may not be accurate. Dust fall cylinders can be set in the areas where the evaluation power station and the reference power station are located, and the dust fall amount can be detected by the dust in the dust fall cylinder; before the detection, ethylene glycol solution can be poured into the cylinder for moisturizing and antifreeze. The placement height of the dust fall cylinder can be consistent with the height of the photovoltaic module. If it is a distributed industrial rooftop power station, it can be placed at the edge of the roof 2 meters away from the corner of the wall (to prevent the influence of platform dust), and the exact time of placement and recovery of the dust fall cylinders in the two places is recorded, which can be accurate to minutes. The dust collected by the dust fall cylinder is accurately measured in the laboratory. The weight is then converted into the local dust fall amount according to the placement time.

[0112] In a specific implementation, the number of days with precipitation can be the number of days with precipitation in the area where the power station is located within the accumulated first time period; or, considering that precipitation of different intensities and different types of precipitation have different cleaning effects on photovoltaic modules, the number of effective precipitation days can also be calculated based on the cleaning effect corresponding to the precipitation data of each day within the first time period, that is, the number of precipitation days that actually cleans the dust on the surface of the photovoltaic modules. The number of precipitation days can be calculated by collecting the precipitation data of the area where the power station is located within the first time period. The calculation system can directly obtain the number of precipitation days calculated by this method, or it can obtain the precipitation data and then calculate the number of precipitation days based on the precipitation data.

[0113] Step S30, calculate a first ratio between the dust loss influencing factor values ​​of the same type between the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

[0114] The measurement system can calculate the ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station (hereinafter referred to as the first ratio for distinction). Among them, the dust fall amount and the number of precipitation days belong to different types of dust loss influencing factor values. The measurement system calculates the ratio between the dust fall amount of the reference power station and the evaluation power station, and calculates the ratio between the number of precipitation days of the reference power station and the evaluation power station.

[0115] The first dust loss degree can be regarded as the dust loss degree measured under the level of dust loss influencing factors in the area where the reference power station is located. The measurement system can convert the first dust loss degree into the dust loss degree under the level of dust loss influencing factors in the area where the evaluation power station is located according to the first ratio (hereinafter referred to as the second dust loss degree for distinction), and use the second dust loss degree as the dust loss degree for evaluating the power station.

[0116] Among them, the specific implementation method of converting the first dust loss degree into the second dust loss degree at the level of the dust loss influence factor of the area where the power station is set according to the first ratio is not limited in this embodiment. For example, the first ratio is obtained by dividing the dust loss influence factor value of the reference power station by the dust loss influence factor value of the same type of the power station being evaluated; when the dust loss influence factor value of this type has a positive impact on the dust loss degree, that is, when the dust loss influence factor value of this type is larger, the dust loss degree is larger, the first dust loss degree can be divided by the first ratio corresponding to the dust loss influence factor value of this type; when the dust loss influence factor value of this type has a negative impact on the dust loss degree, that is, when the dust loss influence factor value of this type is larger, the dust loss degree is smaller, the first dust loss degree can be multiplied by the first ratio corresponding to the dust loss influence factor value of this type; the first ratio corresponding to each type of dust loss influence factor value is calculated according to this method with the first dust loss degree, and the result obtained is the second dust loss degree.

[0117] For example, in one embodiment, when the dust loss influencing factor value includes dustfall amount and precipitation days, step S30 includes:

[0118] Step S301, dividing the dust fall amount of the evaluation power station by the dust fall amount of the reference power station to obtain a dust fall amount ratio;

[0119] Step S302, dividing the number of precipitation days of the reference power station by the number of precipitation days of the evaluation power station to obtain a precipitation days ratio;

[0120] Step S303: multiply the dust fall ratio, the precipitation days ratio and the first dust loss degree to obtain a second dust loss degree of the evaluated power station.

[0121] For example, the first dust loss degree of the reference power station is represented by η1, the dust fall is represented by A1, and the number of days with precipitation is represented by B1; the second dust loss degree of the evaluation power station is represented by η2, the dust fall is represented by A2, and the number of days with precipitation is represented by B2, then the second dust loss degree can be calculated as follows:

[0122]

[0123] In this embodiment, by using the known dust loss degree of the reference power station that has been built, combined with the dust loss influencing factors such as the number of days with precipitation and / or the amount of dust fall in both the reference power station and the evaluation power station, the dust loss degree of the reference power station is converted into the dust loss degree under the level of the dust loss influencing factors in the area where the evaluated power station is located. The calculation method is scientific and effective, and does not need to rely on manual experience estimation, thereby improving the accuracy of dust calculation in the evaluation power station. Moreover, the dust loss influencing factor values ​​such as the number of days with precipitation and the amount of dust fall can be obtained through measurement and detection, and no manual on-site investigation is required. In addition, the dust loss calculation scheme of this embodiment is not only applicable to the evaluation power station that has been built, but also to the evaluation power station that has not been built, which is more conducive to the early calculation of the local dust loss in the power station site selection area.

[0124] Further, based on the above-mentioned first embodiment, a second embodiment of the dust loss calculation of the photovoltaic power station of the present invention is proposed. In this embodiment, the step of obtaining the number of precipitation days measured in the areas where the reference power station and the evaluation power station are located in the first time period in step S20 includes:

[0125] Step S201, obtaining daily precipitation data measured in the areas where the reference power station and the evaluation power station are located in a first time period;

[0126] This embodiment proposes a specific implementation method for obtaining the number of precipitation days in the area where the reference power station and the evaluation power station are located when the dust loss influencing factor value includes the number of precipitation days.

[0127] The measurement system can obtain the daily precipitation data measured in the reference power station and the evaluation power station area during the first time period. For example, if the first time period includes 30 days, the precipitation data of the reference power station area during these 30 days are obtained, and the precipitation data of the evaluation power station area during these 30 days are obtained. The precipitation data of a single day may include at least one value corresponding to a data item reflecting the precipitation conditions, for example, it may include values ​​corresponding to data items such as precipitation type, rainfall, snowfall, rainfall duration, and temperature. It can be understood that different precipitation data reflect different precipitation conditions, and different precipitation conditions have different cleaning effects on photovoltaic modules, and different cleaning effects also have different effects on dust loss.

[0128] Step S202, for any target day within the first time period, converting the precipitation data of the reference power station and the evaluation power station on the target day into cleaning effect values ​​corresponding to the precipitation data;

[0129] For any day within the first time period (hereinafter referred to as the target day for distinction), the measurement system may convert the precipitation data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation conditions reflected by the precipitation data, and convert the precipitation data of the evaluation power station on the target day into a cleaning effect value corresponding to the precipitation conditions reflected by the precipitation data. The cleaning effect value may be a numerical value reflecting the cleaning effect, for example, a larger cleaning effect value indicates a better cleaning effect, and a smaller cleaning effect value indicates a worse cleaning effect.

[0130] In this embodiment, there is no restriction on the way to convert precipitation data into cleaning effect values. For example, in one embodiment, cleaning effect values ​​corresponding to different precipitation data can be preset; for example, the cleaning effect value corresponding to the precipitation type is greater when it is raining than when it is snowing, the cleaning effect value corresponding to the greater the rainfall is, the cleaning effect value corresponding to the greater the snowfall is (the cleaning effect generated by snow melting), the cleaning effect value corresponding to the shorter the rainfall duration is, the cleaning effect value corresponding to the greater the temperature is above zero than below zero, and the cleaning effect value corresponding to the precipitation data can be set by comprehensively taking the values ​​of various data items in the precipitation data; when converting, the cleaning effect value corresponding to the precipitation data of the target day is directly searched.

[0131] Step S203, calculating the first effective precipitation days of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and taking the first effective precipitation days as the precipitation days measured in the area where the reference power station is located;

[0132] After converting the precipitation data, the cleaning effect value of the reference power station every day in the first time period and the cleaning effect value of the evaluation power station every day in the first time period can be obtained. The calculation system can calculate the effective precipitation days of the reference power station in the first time period (hereinafter referred to as the first effective precipitation days for distinction) based on the cleaning effect value of the reference power station every day in the first time period, and the first effective precipitation days can be used as the precipitation days measured in the area where the reference power station is set.

[0133] Step S204, calculating the second effective precipitation days of the evaluation power station in the first time period according to the daily cleaning effect value of the evaluation power station in the first time period, and taking the second effective precipitation days as the precipitation days measured in the area where the evaluation power station is located.

[0134] The measurement system can also calculate the effective precipitation days of the evaluation power station in the first time period (hereinafter referred to as the second effective precipitation days for distinction) based on the daily cleaning effect value of the evaluation power station in the first time period. The second effective precipitation days can be used as the precipitation days measured in the area where the evaluation power station is located.

[0135] It should be noted that the better the cleaning effect of the power station is every day, the more effective precipitation days corresponding to the power station are calculated, but the specific calculation method for calculating the effective precipitation days based on the cleaning effect value is not limited here. For example, when the larger the cleaning effect value is, the better the cleaning effect is, the cleaning effect value of the reference power station every day in the first time period can be accumulated to obtain the first effective precipitation days, and the cleaning effect value of the evaluation power station every day in the first time period can be accumulated to obtain the second effective precipitation days.

[0136] In this embodiment, the daily precipitation data of the reference power station and the evaluation power station are converted into cleaning effect values, and the effective precipitation days are calculated according to the cleaning effect values. Since the effective precipitation days can more accurately characterize the impact of the local precipitation conditions on the dust loss of photovoltaic components, the effective precipitation days are used as the dust loss influencing factor value to calculate the dust loss degree of the evaluation power station. This can make the calculated dust loss degree of the evaluation power station more accurate, thereby further improving the accuracy of dust loss measurement.

[0137] Further, in one embodiment, the step of converting the precipitation data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation data in step S202 includes:

[0138] Step S2021, determining a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day;

[0139] In this embodiment, a method is proposed to convert the precipitation data of the reference power station on the target day into the corresponding cleaning effect value.

[0140] Specifically, in this embodiment, considering that the precipitation conditions corresponding to different precipitation condition data have different time periods for washing the photovoltaic components, for example, the time period for washing during rainfall is the rainfall period, and the time period for washing during snowfall is the snow melting period, the measurement system can determine the comparison time starting point and comparison time end point based on the precipitation condition data of the reference power station on the target day. The comparison time starting point is before the precipitation conditions corresponding to the precipitation condition data of the target day start to wash the photovoltaic components, and the comparison time end point is after the precipitation conditions corresponding to the precipitation condition data of the target day end to wash the photovoltaic components. In other embodiments, the measurement system can also ignore the precipitation condition data of the target day, directly use the end-of-day detection time point of the target day as the comparison time end point, and use the end-of-day detection time point of the day before the target day as the comparison time starting point. The end-of-day detection point is the time point set every day to detect the power generation of the components on that day, for example, it can be set to 7 pm as the end-of-day detection point, and the power generation of the components on that day is detected at this time point, for example, the cumulative power generation from 6 am to 7 pm on that day is detected.

[0141] Step S2022, obtaining a first difference between the measured power generation of the clean components and the comparison components in the reference power station detected at the starting point of the comparison time;

[0142] The measuring system can obtain the difference between the measured power generation of the clean components and the comparison components in the reference power plant detected at the starting point of the comparison time (hereinafter referred to as the first difference). The measured power generation can be the power generation of the components on the day detected at the starting point of the comparison time.

[0143] The first difference reflects the difference in power generation capacity between the clean components and the comparison components before the precipitation on the target day has a cleaning effect, that is, it reflects the dust loss before the precipitation on the target day has a cleaning effect.

[0144] Step S2023, obtaining a second difference between the measured power generation of the clean component and the measured power generation of the comparison component detected at the end of the comparison time;

[0145] The measuring system can obtain the difference between the measured power generation of the clean component and the comparison component detected at the end of the comparison time (hereinafter referred to as the second difference). The measured power generation can be the power generation of the component on the day detected at the end of the comparison time.

[0146] The second difference reflects the difference in power generation capacity between the clean components and the comparison components after the precipitation on the target day has played a cleaning role, that is, it reflects the dust loss after the precipitation on the target day has played a cleaning role.

[0147] Step S2024: Calculate a third difference between the first difference and the second difference, and determine a cleaning effect value of the reference power station on the target day according to the third difference.

[0148] The measurement system can calculate the difference between the first difference and the second difference (hereinafter referred to as the third difference for distinction). It can be understood that since the first difference reflects the dust loss before the precipitation on the target day plays a cleaning role, and the second difference reflects the dust loss after the precipitation on the target day plays a cleaning role, the difference between the first difference and the second difference (that is, the third difference) reflects the cleaning effect played by the precipitation on the target day, so the measurement system can determine the cleaning effect value of the reference power station on the target day according to the third difference. For example, the third difference can be directly used as the cleaning effect value, or the result obtained by dividing the third difference by the first difference is used as the cleaning effect value.

[0149] Further, in one embodiment, the step S2021 includes:

[0150] Step S20211, when the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the target day is used as the comparison time ending point, wherein the measured power generation of the clean components and the comparison components is the power generation of the components on the day detected at the end-of-day detection time point of each day within the first time period;

[0151] In this embodiment, a method of determining a comparison time start point and a comparison time end point according to precipitation data of a target day is proposed.

[0152] Specifically, when the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day can be used as the comparison time starting point, and the end-of-day detection time point of the target day can be used as the comparison time end point.

[0153] Step S20212, when the precipitation data of the reference power station on the target day indicates that there is snowfall on the target day and the average temperature is below zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the snow melting day corresponding to the target day is used as the comparison time end point.

[0154] When the precipitation data of the reference power station on the target day indicates that there is snowfall on the target day and the average temperature is below zero, it means that the snowfall on that day may cause snow accumulation, and the cleaning effect of the snow accumulation will not be reflected until the snow melts. At this time, the end-of-day detection time point of the day before the target day can be used as the starting point of the comparison time, and the end-of-day detection time point of the snow melting day corresponding to the target day can be used as the end point of the comparison time. Among them, the snow melting day corresponding to the target day, that is, the day when the accumulated snow melts after the snowfall on the target day, can be determined based on the precipitation data a few days after the target day, that is, the precipitation data a few days after the target day indicates which day there is no more snow accumulation, and that day is the snow melting day corresponding to the target day.

[0155] Further, based on the above second embodiment, a third embodiment of the dust loss calculation of the photovoltaic power station of the present invention is proposed. In this embodiment, the step of converting the precipitation data of the evaluated power station on the target day into the cleaning effect value corresponding to the precipitation data in step S202 includes:

[0156] S2025, determining a reference day from the preset sample days, wherein the precipitation conditions in a first time window corresponding to the reference day are consistent with the precipitation conditions in a second time window corresponding to the target day, the first time window is a time period consisting of the reference day and a preset number of days before the reference day, and the second time window is a time period consisting of the target day and the preset number of days before the target day;

[0157] In this embodiment, since the evaluation power station is under construction or has not yet started construction, the conditions for setting up comparison components and clean components are not yet available. Therefore, in this embodiment, it is proposed to pre-measure the cleaning effect values ​​corresponding to multiple sample days with different precipitation conditions, and compare the precipitation conditions of the target day with the sample day, so as to take the cleaning effect value corresponding to the sample day with the precipitation conditions consistent with the target day among the sample days as the cleaning effect value of the target day, in this way, indirectly obtain a more accurate cleaning effect value of the evaluation power station on the target day.

[0158] In a specific implementation, the precipitation data of the area where the reference power station is located can be collected in advance, and the power generation of the clean components and the comparison components in the reference power station can be detected. The cleaning effect value corresponding to each sample day of the reference power station can be calculated by the cleaning effect value calculation method corresponding to steps S2021 to S2024 in the second embodiment above. The precipitation conditions reflected by the precipitation data of each sample day are different. The cleaning effect values ​​of sample days with various precipitation conditions can be measured by extending the test time, and various precipitation conditions can be simulated by artificial rainfall or snowfall to obtain the cleaning effect values ​​corresponding to sample days with various precipitation conditions.

[0159] In one embodiment, the cleaning effect brought about by the precipitation on the target day is also related to the precipitation in the days before the target day; for example, when there is rainfall on both the target day and the days before the target day, the dust on the surface of the photovoltaic module has been cleaned relatively clean by the rainfall in the days before the target day, so even if there is heavy rain or even rainstorm on the target day, the cleaning effect brought about is not obvious; for another example, if there are continuous sunny days before the target day and there is rainfall on the target day, the cleaning effect brought about by the rainfall on the target day will be very obvious. Considering this, the time period consisting of the target day and the preset number of days before the target day can be used as a time window (hereinafter referred to as the second time window for distinction), and the time period consisting of the sample day and the preset number of days before the sample day can be used as a time window (hereinafter referred to as the third time window for distinction). If the precipitation in the third time window of a sample day is consistent with the precipitation in the second time window of the target day, the sample day can be used as a reference day. The preset number of days can be set as needed and is not limited here. For example, if it is set to 4 days, then a window includes 5 days. When the preset number of days is set to a larger number, the estimated cleaning effect value of the evaluation power station on the target day is more accurate. The third time window corresponding to the reference day is referred to as the first time window to distinguish it from the third time window of other sample days.

[0160] S2026: Using the preset cleaning effect value corresponding to the precipitation condition in the first time window as the cleaning effect value of the evaluated power station on the target day.

[0161] The calculation system uses the preset cleaning effect value corresponding to the precipitation conditions in the first time window as the cleaning effect value for evaluating the power station on the target day.

[0162] Further, in one embodiment, the step S2025 includes:

[0163] Step S20251, for any target sample day among the preset sample days, compare the precipitation data of the same sorted day in the second time window and the third time window corresponding to the target sample day, wherein the third time window is a time period consisting of the target sample day and the preset number of days before the target sample day;

[0164] In this embodiment, a method is proposed to determine whether the precipitation conditions of the third time window corresponding to the sample day and the second time window corresponding to the target day are consistent. Specifically, for any one of the preset sample days (hereinafter referred to as the target sample day to distinguish), the measurement system can compare the precipitation condition data of the same sorting day in the third time window corresponding to the second time window and the target sample day. It can be understood that the number of days included in the second time window and the third time window is the same, and the days included in the second time window are sorted in chronological order, and the days included in the third time window are also sorted in chronological order. The two days with the same sorting in the two time windows are sorted on the same day, that is, the precipitation condition data of the first day in the second time window is compared with the precipitation condition data of the first day in the third time window, and the precipitation condition data of the second day in the second time window is compared with the precipitation condition data of the second day in the third time window, and so on.

[0165] Step S20252: If the precipitation data of the same sorted day in the second time window and the third time window are consistent in the corresponding comparison, the target sample day is used as the reference day.

[0166] If the precipitation data of the same ranking day in the second time window and the third time window are all compared and consistent, it can be determined that the precipitation in the third time window is consistent with the precipitation in the second time window, and the target sample day can be used as a reference day. That is, if the precipitation data of the first day in the second time window is compared and consistent with the precipitation data of the first day in the third time window, the precipitation data of the second day in the second time window is compared and consistent with the precipitation data of the second day in the third time window, and so on, the precipitation data of the nth day in the second time window is compared and consistent with the precipitation data of the nth day in the third time window, then it can be determined that the precipitation in the third time window is consistent with the precipitation in the second time window. In this embodiment, there is no restriction on the determination condition for the consistency of the precipitation data of the same ranking day. For example, in one embodiment, when the precipitation data includes values ​​of multiple data items, the value interval to which the value of the data item belongs can be determined. The value range of the data item can be divided into multiple value intervals in advance. For example, the rainfall can be divided into four intervals to correspond to light rain, moderate rain, heavy rain and rainstorm respectively; determine whether the values ​​of the same data item in the precipitation data of the same day are in the same value interval. If the values ​​of the same data item in the precipitation data of the same day are in the same value interval, it can be determined that the precipitation data of the same day are consistent. For example, assuming that the precipitation data Including the values ​​of two data items, if the value interval of the first data item in the precipitation data on the first day in the second time window is the same as the value interval of the first data item in the precipitation data on the first day in the third time window, and the value interval of the second data item in the precipitation data on the first day in the second time window is the same as the value interval of the second data item in the precipitation data on the first day in the third time window, then it can be determined that the precipitation data on the first day in the second time window is consistent with the precipitation data on the first day in the third time window.

[0167] Further, in one embodiment, if Figure 3 As shown, the measurement system can be deployed in a cloud platform, and the dust fall of the reference power station and the evaluation power station is detected by a dust detection device, the clean components in the reference power station are cleaned by a cleaning device, the power generation of the clean components and the comparison components is detected by a power generation detection device, and the dust fall and meteorological information of the reference power station and the evaluation power station are obtained through the cloud platform, as well as the power generation data of the clean components and the comparison components of the reference power station, and then the dust loss degree of the evaluation power station is calculated based on the obtained data.

[0168] In addition, the embodiment of the present invention also provides a photovoltaic power station dust loss calculation device, referring to Figure 4 , the photovoltaic power station dust loss calculation device comprises:

[0169] A first acquisition module 10 is used to acquire a first dust loss degree of a built reference power station;

[0170] A second acquisition module 20 is used to obtain dust loss influencing factor values ​​measured in the areas where the reference power station and the evaluation power station are located in a first time period, wherein the dust loss influencing factor values ​​include dust fall and / or precipitation days;

[0171] The calculation module 30 is used to calculate a first ratio between the dust loss influencing factor values ​​of the same type between the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

[0172] Furthermore, the first acquisition module 10 is also used for:

[0173] Obtaining the initial power generation corresponding to the clean components and the comparison components in the reference power station, respectively, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust;

[0174] Obtaining a first power generation amount measured for the clean component that is kept clean during a second time period, and a second power generation amount measured for the comparison component that is not cleaned during the second time period;

[0175] A second ratio between the first power generation and the second power generation is calculated, and according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio is converted into a fourth ratio that is not affected by the difference between component monomers, and a first dust loss degree of the reference power station is calculated according to the fourth ratio.

[0176] Furthermore, the photovoltaic power station dust loss calculation device also includes:

[0177] The control module is used to control the cleaning device to clean the clean component at each predetermined time point within the second time period.

[0178] Further, when the dust loss influencing factor value includes the number of precipitation days, the second acquisition module 20 is further used for:

[0179] Acquire daily precipitation data measured in the areas where the reference power station and the evaluation power station are located during a first time period;

[0180] For any target day within the first time period, the precipitation data of the reference power station and the evaluation power station on the target day are respectively converted into cleaning effect values ​​corresponding to the precipitation data;

[0181] Calculate the first effective precipitation days of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and use the first effective precipitation days as the precipitation days measured in the area where the reference power station is located;

[0182] The second effective precipitation days of the evaluation power station in the first time period are calculated according to the daily cleaning effect value of the evaluation power station in the first time period, and the second effective precipitation days are used as the precipitation days measured in the area where the evaluation power station is located.

[0183] Furthermore, the second acquisition module 20 is also used for:

[0184] Determine a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day;

[0185] Acquire a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the starting point of the comparison time;

[0186] Acquire a second difference between the measured power generation of the clean component and the measured power generation of the comparison component detected at the end point of the comparison time;

[0187] A third difference between the first difference and the second difference is calculated, and a cleaning effect value of the reference power station on the target day is determined according to the third difference.

[0188] Furthermore, the second acquisition module 20 is also used for:

[0189] When the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the target day is used as the comparison time ending point, wherein the measured power generation of the clean components and the comparison components is the power generation of the components on the day detected at the end-of-day detection time point of each day within the first time period;

[0190] When the precipitation data of the reference power station on the target day indicate that there is snowfall on the target day and the average temperature is below zero, the end-of-day detection time point of the day before the target day is used as the starting time point for comparison, and the end-of-day detection time point of the snow melting day corresponding to the target day is used as the end time point for comparison.

[0191] Furthermore, the second acquisition module 20 is also used for:

[0192] Determine a reference day from preset sample days, wherein the precipitation conditions in a first time window corresponding to the reference day are consistent with the precipitation conditions in a second time window corresponding to the target day, the first time window is a time period consisting of the reference day and a preset number of days before the reference day, and the second time window is a time period consisting of the target day and the preset number of days before the target day;

[0193] The preset cleaning effect value corresponding to the precipitation condition in the first time window is used as the cleaning effect value of the evaluated power station on the target day.

[0194] Furthermore, the precipitation data includes values ​​of multiple data items, and the second acquisition module 20 is further used for:

[0195] For any target sample day among the preset sample days, compare the precipitation data of the same sorted day in the second time window and the third time window corresponding to the target sample day, wherein the third time window is a time period consisting of the target sample day and the preset number of days before the target sample day;

[0196] If the precipitation data of the same ranked day in the second time window and the third time window are consistent in correspondence, the target sample day is used as the reference day.

[0197] Furthermore, when the dust loss influencing factor value includes dustfall amount and precipitation days, the calculation module 30 is further used for:

[0198] Dividing the dust fall amount of the evaluation power station by the dust fall amount of the reference power station to obtain a dust fall amount ratio;

[0199] Dividing the number of precipitation days of the reference power station by the number of precipitation days of the evaluation power station to obtain a precipitation days ratio;

[0200] The second dust loss degree of the evaluated power station is obtained by multiplying the dust fall amount ratio, the precipitation days ratio and the first dust loss degree.

[0201] The expanded contents of the specific implementation of the photovoltaic power station dust loss calculation device of the present invention are basically the same as the embodiments of the photovoltaic power station dust loss calculation method described above, and will not be elaborated here.

[0202] In addition, an embodiment of the present invention also proposes a computer-readable storage medium, on which a photovoltaic power station dust loss calculation program is stored. When the photovoltaic power station dust loss calculation program is executed by a processor, the steps of the photovoltaic power station dust loss calculation method described below are implemented.

[0203] The various embodiments of the photovoltaic power station dust loss calculation device and the computer-readable storage medium of the present invention can all refer to the various embodiments of the photovoltaic power station dust loss calculation method of the present invention, and will not be repeated here.

[0204] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0205] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0206] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0207] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for calculating dust loss in a photovoltaic power station, characterized in that: The photovoltaic power station dust loss calculation method comprises the following steps: Obtaining the first dust loss degree of a built reference power station; Obtain dust loss influencing factor values ​​measured in the reference power station and the evaluation power station respectively in the first time period, wherein the dust loss influencing factor values ​​include dust fall and precipitation days; Calculating a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, converting the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power station; The step of obtaining the first dust loss degree of the built reference power station comprises: Obtaining the initial power generation corresponding to the clean components and the comparison components in the reference power station, respectively, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust; Obtaining a first power generation amount measured for the clean component that is kept clean in a second time period, and a second power generation amount measured for the comparison component that is not cleaned in the second time period; A second ratio between the first power generation and the second power generation is calculated, and according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio is converted into a fourth ratio that is not affected by the difference between component monomers, and a first dust loss degree of the reference power station is calculated according to the fourth ratio.

2. The method for calculating dust loss in a photovoltaic power station according to claim 1, characterized in that: The photovoltaic power station dust loss calculation method further includes: The cleaning device is controlled to clean the clean component at each predetermined time point during the second time period.

3. The method for calculating dust loss in a photovoltaic power station according to claim 1, characterized in that: When the dust loss influencing factor value includes the number of days with precipitation, the step of obtaining the number of days with precipitation measured in the areas where the reference power station and the evaluation power station are located in the first time period includes: Acquire daily precipitation data measured in the areas where the reference power station and the evaluation power station are located during a first time period; For any target day within the first time period, the precipitation data of the reference power station and the evaluation power station on the target day are respectively converted into cleaning effect values ​​corresponding to the precipitation data; Calculate the first effective precipitation days of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and use the first effective precipitation days as the precipitation days measured in the area where the reference power station is located; The second effective precipitation days of the evaluation power station in the first time period are calculated according to the daily cleaning effect value of the evaluation power station in the first time period, and the second effective precipitation days are used as the precipitation days measured in the area where the evaluation power station is located.

4. The method for calculating dust loss in a photovoltaic power station according to claim 3, characterized in that: The step of converting the precipitation data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation data comprises: Determine a comparison time starting point and a comparison time ending point according to the precipitation data of the reference power station on the target day; Acquire a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the starting point of the comparison time; Acquire a second difference between the measured power generation of the clean component and the measured power generation of the comparison component detected at the end point of the comparison time; A third difference between the first difference and the second difference is calculated, and a cleaning effect value of the reference power station on the target day is determined according to the third difference.

5. The method for calculating dust loss in a photovoltaic power station according to claim 4, characterized in that: The step of determining the comparison time starting point and comparison time ending point according to the precipitation data of the reference power station on the target day comprises: When the precipitation data of the reference power station on the target day indicates that there is no snowfall on the target day or the average temperature is above zero, the end-of-day detection time point of the day before the target day is used as the comparison time starting point, and the end-of-day detection time point of the target day is used as the comparison time ending point, wherein the measured power generation of the clean components and the comparison components is the power generation of the components on the day detected at the end-of-day detection time point of each day within the first time period; When the precipitation data of the reference power station on the target day indicate that there is snowfall on the target day and the average temperature is below zero, the end-of-day detection time point of the day before the target day is used as the starting time point for comparison, and the end-of-day detection time point of the snow melting day corresponding to the target day is used as the end time point for comparison.

6. The method for calculating dust loss in a photovoltaic power station according to claim 3, characterized in that: The step of converting the precipitation data of the evaluation power station on the target day into a cleaning effect value corresponding to the precipitation data comprises: Determine a reference day from preset sample days, wherein the precipitation conditions in a first time window corresponding to the reference day are consistent with the precipitation conditions in a second time window corresponding to the target day, the first time window is a time period consisting of the reference day and a preset number of days before the reference day, and the second time window is a time period consisting of the target day and the preset number of days before the target day; The preset cleaning effect value corresponding to the precipitation condition in the first time window is used as the cleaning effect value of the evaluated power station on the target day.

7. The method for calculating dust loss in a photovoltaic power station according to claim 6, characterized in that: The precipitation data includes values ​​of multiple data items, and the step of determining a reference day from preset sample days includes: For any target sample day among the preset sample days, compare the precipitation data of the same sorted day in the second time window and the third time window corresponding to the target sample day, wherein the third time window is a time period consisting of the target sample day and the preset number of days before the target sample day; If the precipitation data of the same ranked day in the second time window and the third time window are consistent in correspondence, the target sample day is used as the reference day.

8. The method for calculating dust loss in a photovoltaic power station according to any one of claims 1 to 7, characterized in that: The steps of calculating a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, converting the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power station include: Dividing the dust fall amount of the evaluation power station by the dust fall amount of the reference power station to obtain a dust fall amount ratio; Dividing the number of precipitation days of the reference power station by the number of precipitation days of the evaluation power station to obtain a precipitation days ratio; The second dust loss degree of the evaluated power station is obtained by multiplying the dust fall amount ratio, the precipitation days ratio and the first dust loss degree.

9. A photovoltaic power station dust loss calculation device, characterized in that: The photovoltaic power station dust loss calculation device comprises: A first acquisition module, used for acquiring a first dust loss degree of a built reference power station; A second acquisition module is used to obtain dust loss influencing factor values ​​measured in the areas where the reference power station and the evaluation power station are located in a first time period, wherein the dust loss influencing factor values ​​include dustfall and precipitation days; a calculation module, configured to calculate a first ratio between the dust loss influencing factor values ​​of the same type of the reference power station and the evaluation power station, convert the first dust loss degree into a second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station; The first acquisition module is also used for: Obtaining the initial power generation corresponding to the clean components and the comparison components in the reference power station, respectively, wherein the initial power generation is the power generation measured after the clean components and the comparison components are wiped clean of dust; Obtaining a first power generation amount measured for the clean component that is kept clean in a second time period, and a second power generation amount measured for the comparison component that is not cleaned in the second time period; A second ratio between the first power generation and the second power generation is calculated, and according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio is converted into a fourth ratio that is not affected by the difference between component monomers, and a first dust loss degree of the reference power station is calculated according to the fourth ratio.

10. A photovoltaic power station dust loss calculation device, characterized in that: The photovoltaic power station dust loss calculation device includes: a memory, a processor, and a photovoltaic power station dust loss calculation program stored in the memory and executable on the processor. When the photovoltaic power station dust loss calculation program is executed by the processor, the steps of the photovoltaic power station dust loss calculation method as described in any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a photovoltaic power station dust loss calculation program, and when the photovoltaic power station dust loss calculation program is executed by the processor, the steps of the photovoltaic power station dust loss calculation method according to any one of claims 1 to 8 are implemented.

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