CN115532753A - Photovoltaic power plant dust loss measurement method, device, equipment and storage medium - Google Patents

Abstract

The invention discloses a method, a device and equipment for measuring and calculating dust loss of a photovoltaic power station and a computer readable storage medium, wherein the method comprises the following steps: acquiring a first dust loss degree of the built reference power station; acquiring dust loss influence factor values respectively measured in areas set by a reference power station and an evaluation power station in a first time period, wherein the dust loss influence factor values comprise dust precipitation amount and/or precipitation days; and calculating a first ratio between the dust loss influence factor values of the reference power station and the evaluation power station in the same type, converting the first dust loss degree into a second dust loss degree under the dust loss influence factor level of an area set by the evaluation power station according to the first ratio, and taking the second dust loss degree as the dust loss degree of the evaluation power station. The method improves the accuracy of dust measurement and calculation of the photovoltaic power station.

Description

Photovoltaic power plant dust loss measurement method, device, equipment and storage medium

technical field

The invention relates to the technical field of photovoltaic power plants, in particular to a method, device, equipment and computer-readable storage medium for measuring and calculating dust loss in photovoltaic power plants.

Background technique

It has always been a big problem to accurately evaluate the power generation of a photovoltaic power station before it is newly built, because the power generation of the power station is greatly affected by the environmental factors in the area where it is located. In addition to the local irradiance, dust has the greatest impact on the power generation efficiency of the power station. Due to the uneven distribution of dust and the influence of seasons and weather, there is no good method for calculating the dust loss of power stations.

At present, the dust loss assessment of power stations is mainly based on on-site surveys and observations of pollution, combined with the geographical area of the power station and the amount of precipitation to make a rough estimate, and the accuracy depends on manual experience.

Contents of the invention

The main purpose of the present invention is to provide a method, device, equipment, and computer-readable storage medium for measuring and calculating dust loss in photovoltaic power stations, aiming to propose a dust loss degree based on a reference power station and the impact of dust loss on both the reference power station and the evaluation power station The factor value is used to calculate and evaluate the dust loss degree calculation method of the power station, and improve the accuracy of the dust loss calculation of the photovoltaic power station.

In order to achieve the above object, the present invention provides a method for measuring and calculating the dust loss of a photovoltaic power station, and the method for calculating the dust loss of a photovoltaic power station includes the following steps:

Obtain the first dust loss degree of the built reference power station;

Acquiring the dust loss influencing factor values measured in the reference power station and the evaluation power station respectively within the first time period, wherein the dust loss influencing factor values include the amount of dust falling and/or the number of days of precipitation;

calculating a first ratio between the dust loss influencing factor values of the same type in the reference power station and the evaluation power station, and converting the first dust loss degree to the value set by the evaluation power station according to the first ratio The second dust loss degree at the dust loss influencing factor level of the area, and the second dust loss degree is used as the dust loss degree of the evaluation power station.

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

Obtaining the initial power generation corresponding to the clean component and the comparison component in the reference power station, wherein the initial power generation is the power generation measured after the clean component and the comparison component are wiped clean of dust;

Acquiring the first power generation measured for the clean component kept clean within a second time period, and the second power generation measured for the comparison component that has not been cleaned within the second time period;

calculating a second ratio between the first power generation and the second power generation, according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio It is converted into a fourth ratio that is not affected by individual component differences, and the first dust loss degree of the reference power station is calculated according to the fourth ratio.

Optionally, the method for calculating the dust loss of the photovoltaic power station also includes:

The cleaning device is controlled at each predetermined time point within the second time period to perform cleaning processing on the cleaning component.

Optionally, when the value of the dust loss influencing factor includes the number of precipitation days, the step of obtaining the number of precipitation days measured in the area where the reference power station and the evaluation power station are respectively set within the first time period includes:

Obtain daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period;

For any target day within the first time period, converting the precipitation situation data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation situation data;

The first effective precipitation days of the reference power station in the first time period are calculated according to the daily cleaning effect value of the reference power station in the first time period, and the first effective precipitation days are calculated as the number of days of precipitation measured in the area where said reference power station is located;

According to the daily cleaning effect value of the evaluation power station in the first time period, the second effective precipitation days of the evaluation power station in the first time period are calculated, and the second effective precipitation days are calculated as the number of days of precipitation measured in the area where the evaluation power station is set.

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

determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day;

Obtaining a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the start point of the comparison time;

obtaining a second difference between the measured power generation of the clean component and the compared component detected at the end of the comparison time;

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

Optionally, the step of determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day includes:

When the precipitation situation data of the reference power station on the target day indicates that there is no snowfall or the average temperature is above zero on the target day, the end-of-day detection time point of the day before the target day is used as the starting point of the comparison time , taking the end-of-day detection time point of the target day as the end point of the comparison time, wherein the measured power generation of the clean component and the comparison component is the end-of-day detection time of each day in the first time period The day-to-day power generation of components detected by point detection;

When the precipitation situation 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 starting point of the comparison time, 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.

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

A reference day is determined from each preset sample day, wherein the precipitation situation in the first time window corresponding to the reference day is consistent with the precipitation situation in the second time window corresponding to the target day, and the first time window is The time period formed by the reference date and the preset number of days before the reference day, and the second time window is the time period formed by the target date and the preset number of days before the target date;

The preset cleaning effect value corresponding to the precipitation situation in the first time window is used as the cleaning effect value of the evaluation power station on the target day.

Optionally, the precipitation situation data includes values of multiple data items, and the step of determining a reference day from each preset sample day includes:

For any target sample day in the preset sample days, compare the precipitation situation 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 the time period formed by the target sample day and the preset number of days before the target sample day;

If the precipitation situation data of the same sorted day in the second time window and the third time window are all correspondingly compared, the target sample day is taken as a reference day.

Optionally, when the value of the dust loss influencing factor includes the amount of dust falling and the number of precipitation days, the calculation of the first ratio between the value of the same type of the dust loss influencing factor of the reference power station and the evaluation power station, According to the first ratio, the first dust loss degree is converted into the second dust loss degree at the dust loss influencing factor level of the area where the evaluation power station is set, and the second dust loss degree is used as the evaluation power station The dust loss degree steps include:

Dividing the dustfall amount of the evaluation power station by the dustfall amount of the reference power station to obtain a dustfall ratio;

dividing the precipitation days of the reference power station by the precipitation days of the evaluation power station to obtain a ratio of precipitation days;

The second dust loss degree of the evaluation power station is obtained by multiplying the ratio of dustfall amount, the ratio of precipitation days and the first dust loss degree.

In order to achieve the above object, the present invention also provides a dust loss measuring device for a photovoltaic power station. The dust loss measuring device for a photovoltaic power station includes:

The first acquisition module is used to acquire the first dust loss degree of the built reference power station;

The second acquisition module is used to acquire the 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 dustfall and/or precipitation number of days;

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

In order to achieve the above object, the present invention also provides a photovoltaic power station dust loss measurement device, which includes: a memory, a processor, and a photovoltaic system stored in the memory and operable on the processor. A power station dust loss calculation program, when the photovoltaic power station dust loss calculation program is executed by the processor, the steps of the above-mentioned method for photovoltaic power plant dust loss calculation are realized.

In addition, in order to achieve the above object, the present invention also proposes a computer-readable storage medium, the computer-readable storage medium is stored with a photovoltaic power station dust loss calculation program, and the photovoltaic power station dust loss calculation program is executed by a processor. The steps of the method for calculating the dust loss of the photovoltaic power station as mentioned above.

In the present invention, the dust loss degree of the reference power station is converted into The dust loss degree at the level of dust loss influencing factors in the area where the power station is evaluated is scientific and effective, and does not need to rely on manual experience estimation, which improves the accuracy of dust measurement and calculation of the power station. In addition, the values of dust loss influencing factors such as the number of precipitation days and the amount of dustfall can be obtained through measurement and detection, without the need for manual on-site investigation. Moreover, the dust loss calculation scheme of the present invention is not only applicable to completed evaluation power stations, but also applicable to unbuilt evaluation power stations, which is more conducive to early calculation of local dust loss in the site selection area of the power station.

Description of drawings

Fig. 1 is a schematic structural diagram of the hardware operating environment involved in the solution of the embodiment of the present invention;

Fig. 2 is a schematic flow chart of the first embodiment of the method for measuring and calculating the dust loss of photovoltaic power plants according to the present invention;

FIG. 3 is a schematic diagram of the architecture of a measurement and calculation system involved in an embodiment of the present invention;

Fig. 4 is a schematic diagram of the functional modules of a preferred embodiment of the device for measuring and calculating the dust loss of a photovoltaic power plant according to the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

detailed description

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

As shown in FIG. 1 , FIG. 1 is a schematic diagram of the equipment structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

It should be noted that the photovoltaic power station dust loss measurement device in the embodiment of the present invention may be a smart phone, a personal computer, a server, etc., and no specific limitation is set here.

As shown in FIG. 1 , the device for calculating dust loss in a photovoltaic power station 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 . Wherein, the communication bus 1002 is used to realize 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. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the equipment structure shown in Figure 1 does not constitute a limitation on the dust loss measurement equipment for photovoltaic power plants, and may include more or less components than those shown in the illustration, or combine certain components, or use different Part placement.

As shown in FIG. 1 , 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 station dust loss calculation program. The operating system is a program that manages and controls the hardware and software resources of the equipment, and supports the operation of the dust loss calculation program of the photovoltaic power station and other software or programs. In the device shown in Figure 1, 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; Loss measurement program, and does the following:

Obtain the first dust loss degree of the built reference power station;

Acquiring the dust loss influencing factor values measured in the reference power station and the evaluation power station respectively within the first time period, wherein the dust loss influencing factor values include the amount of dust falling and/or the number of days of precipitation;

calculating a first ratio between the dust loss influencing factor values of the same type in the reference power station and the evaluation power station, and converting the first dust loss degree to the value set by the evaluation power station according to the first ratio The second dust loss degree at the dust loss influencing factor level of the area, and the second dust loss degree is used as the dust loss degree of the evaluation power station.

Further, the operation of obtaining the first dust loss degree of the built reference power station includes:

Obtaining the initial power generation corresponding to the clean component and the comparison component in the reference power station, wherein the initial power generation is the power generation measured after the clean component and the comparison component are wiped clean of dust;

Acquiring the first power generation measured for the clean component kept clean within a second time period, and the second power generation measured for the comparison component that has not been cleaned within the second time period;

calculating a second ratio between the first power generation and the second power generation, according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio It is converted into a fourth ratio that is not affected by individual component differences, and the first dust loss degree of the reference power station is calculated according to the fourth ratio.

Further, the processor 1001 can also be used to call the dust loss calculation program of the photovoltaic power station stored in the memory 1005, and perform the following operations:

The cleaning device is controlled at each predetermined time point within the second time period to perform cleaning processing on the cleaning component.

Further, when the value of the dust loss influencing factor includes the number of precipitation days, the operation of obtaining the number of precipitation days measured in the area where the reference power station and the evaluation power station are respectively set within the first time period includes:

Obtain daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period;

For any target day within the first time period, converting the precipitation situation data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation situation data;

The first effective precipitation days of the reference power station in the first time period are calculated according to the daily cleaning effect value of the reference power station in the first time period, and the first effective precipitation days are calculated as the number of days of precipitation measured in the area where said reference power station is located;

According to the daily cleaning effect value of the evaluation power station in the first time period, the second effective precipitation days of the evaluation power station in the first time period are calculated, and the second effective precipitation days are calculated as the number of days of precipitation measured in the area where the evaluation power station is set.

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

determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day;

Obtaining a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the start point of the comparison time;

obtaining a second difference between the measured power generation of the clean component and the compared component detected at the end of the comparison time;

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

Further, the operation of determining the start point of comparison time and the end point of comparison time according to the precipitation situation data of the reference power station on the target day includes:

When the precipitation situation data of the reference power station on the target day indicates that there is no snowfall or the average temperature is above zero on the target day, the end-of-day detection time point of the day before the target day is used as the starting point of the comparison time , taking the end-of-day detection time point of the target day as the end point of the comparison time, wherein the measured power generation of the clean component and the comparison component is the end-of-day detection time of each day in the first time period The day-to-day power generation of components detected by point detection;

When the precipitation situation 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 starting point of the comparison time, 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.

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

A reference day is determined from each preset sample day, wherein the precipitation situation in the first time window corresponding to the reference day is consistent with the precipitation situation in the second time window corresponding to the target day, and the first time window is The time period formed by the reference date and the preset number of days before the reference day, and the second time window is the time period formed by the target date and the preset number of days before the target date;

The preset cleaning effect value corresponding to the precipitation situation in the first time window is used as the cleaning effect value of the evaluation power station on the target day.

Further, the precipitation situation data includes the values of multiple data items, and the operation of determining a reference day from each preset sample day includes:

For any target sample day in the preset sample days, compare the precipitation situation 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 the time period formed by the target sample day and the preset number of days before the target sample day;

If the precipitation situation data of the same sorted day in the second time window and the third time window are all correspondingly compared, the target sample day is taken as a reference day.

Further, when the value of the dust loss influencing factor includes the amount of dust falling and the number of precipitation days, the calculation of the first ratio between the value of the same type of the dust loss influencing factor of the reference power station and the evaluation power station is based on The first ratio converts 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 set, and uses the second dust loss degree as the evaluation power station Dust loss operations include:

Dividing the dustfall amount of the evaluation power station by the dustfall amount of the reference power station to obtain a dustfall ratio;

dividing the precipitation days of the reference power station by the precipitation days of the evaluation power station to obtain a ratio of precipitation days;

The second dust loss degree of the evaluation power station is obtained by multiplying the ratio of dustfall amount, the ratio of precipitation days and the first dust loss degree.

Based on the above structure, various embodiments of the method for measuring and calculating the dust loss of a photovoltaic power station are proposed.

Referring to Fig. 2, Fig. 2 is a schematic flow chart of the first embodiment of the method for measuring and calculating the dust loss of a photovoltaic power station according to the present invention.

The embodiment of the present invention provides an embodiment of the method for measuring and calculating the dust loss of photovoltaic power plants. It should be noted that although the logic sequence is shown in the flow chart, in some cases, the sequence shown here can be executed in a different order. steps outlined or described. In this embodiment, the execution subject of the method for measuring and calculating the dust loss of a photovoltaic power station can be a cloud platform, a personal computer, a smart phone, a server, etc., and there is no limitation in this embodiment. For the convenience of description, the measurement system is used as the execution subject Explanation of each embodiment is carried out. In this embodiment, the method for calculating the dust loss of the photovoltaic power station includes:

Step S10, obtaining the first dust loss degree of the built reference power station;

Dust loss refers to the loss of power generation of the modules caused by the ash accumulated on the photovoltaic modules. The intuitive effect is to reduce the power generation efficiency of the power station.

In this embodiment, a power station that has been built and used to assist in testing the dust loss degree of another power station is called a reference power station. In a specific application scenario, the reference power station may be a power station specially used for experiments, or a power station that has been completed and put into operation, which is not limited in this embodiment. Since the reference power station has been built, certain means can be used to measure and calculate the dust loss degree of the reference power station (hereinafter referred to as the first dust loss degree for distinction). In this embodiment, there is no limitation on the calculation method of the first dust loss degree. For example, in one embodiment, two groups of photovoltaic modules can be selected in the reference power station, one group of photovoltaic modules is used as a clean module, which is kept clean by regular cleaning, and the other group of photovoltaic modules is used as a comparison module without cleaning treatment; Measure the power generation of two groups of components in the same period of time, subtract the power generation of the clean component from the power generation of the comparison component and divide it by the power generation of the clean component, and the result is taken as the first dust loss degree; the calculation system can directly obtain According to the first dust loss degree calculated by this method, the first dust loss degree can also be calculated according to the power generation amount after obtaining the power generation amount of the two groups of components detected by the power generation amount detection device.

Further, in one embodiment, the step S10 includes:

Step S101, obtaining the initial power generation corresponding to the clean component and the comparison component in the reference power station, wherein the initial power generation is the power generation measured after the clean component and the comparison component are cleaned of dust;

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 the power generation detection device (hereinafter referred to as the initial power generation to show the difference). It can be understood that the initial power generation is the power generation measured under the same external conditions of the clean module and the comparison module, so the difference between the initial power generation of the two groups of modules is the power generation caused by the difference between the two groups of modules volume difference. The specific implementation of the power generation detection device is not limited in this embodiment. For example, a micro-inverter can be used to connect the clean component and the comparison component for grid connection, and the power generation data of the two groups of components can be collected through the micro-inverter Upload to the calculation system.

The calculation system can obtain the initial power generation corresponding to the clean component and the comparison component respectively detected by the power generation detection device.

Step S102, obtaining the first power generation measured for the clean components kept clean within a second time period, and the second power generation measured for the comparison components that have not been cleaned within the second time period. power generation;

The power generation of the clean components in the second time period can be detected by the power generation detection device (hereinafter referred to as the first power generation to show the difference). In the second time period, the clean components can be cleaned regularly by manual or automatic cleaning tools. to keep clean components clean. It is also possible to detect the power generation of the comparison component in the second time period through the power generation detection device (hereinafter referred to as the second power generation to show the difference), and in the second time period, the comparison component is not cleaned, and the natural fall is maintained. gray state.

The calculation 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.

Step S103, calculating a second ratio between the first power generation and the second power generation, and calculating the The second ratio is converted into a fourth ratio which is not affected by individual component differences, and the first dust loss degree of the reference power station is calculated according to the fourth ratio.

After the calculation system obtains the first power generation and the second power generation, it can calculate the ratio between the first power generation and the second power generation (hereinafter referred to as the second ratio to distinguish), and calculate the initial power generation of the clean component The ratio between the amount and the initial power generation of the comparison module (hereinafter referred to as the third ratio to show the difference). Since the difference between the power generation of the clean module and the comparison module is not only affected by dust, but also affected by the difference of the individual components of the two groups of modules. The calculation system can convert the second ratio to a fourth ratio that is not affected by the difference of individual components according to the third ratio, so as to calculate the first dust loss degree of the reference power station according to the fourth ratio, so as to improve the calculated first dust loss. The accuracy of the loss degree can further improve the accuracy of the dust loss degree of the estimated power station calculated according to the first dust loss degree, that is, the accuracy of dust loss measurement can be improved.

The specific calculation manner of converting the second ratio to 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 fourth ratio can be obtained by using the third ratio, and further, the first dust loss degree can be obtained by subtracting 1 from the fourth ratio.

Further, in one embodiment, the method for calculating the dust loss of the photovoltaic power station further includes:

Step a, controlling the cleaning device to perform cleaning treatment on the cleaning component at each predetermined time point within the second time period.

In this embodiment, the cleaning device can be used to clean the clean components, and the measuring system can be used to control the cleaning device to clean the clean components at each predetermined time point within the second time period. Wherein, the predetermined time point can be set according to needs, for example, it is set as every night for 7 days in the second time period. The implementation of the cleaning device is not limited here. For example, in one embodiment, rails can be installed on both sides of the cleaning component, and the brush roller is driven by the motor, and the motor drives the brush roller to move along the track to the cleaning component for cleaning, and return to its original position after cleaning.

Step S20, acquiring the dust loss influencing factor values measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period, wherein the dust loss influencing factor values include the amount of dust falling and/or the number of days of precipitation;

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 measured, 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 measure the dust loss degree of the evaluation power station when the evaluation power station is set up in the area to be selected.

Obtain the dust loss influencing factor values measured in the reference power station and the evaluation power station respectively in the first time period. Wherein, the area where the evaluation power station is located may be the area where the evaluation power station under construction is located, and may also be the site selection area of the evaluation power station that has not yet been constructed. The first time period can be set as required, and is not limited in this embodiment, for example, one month can be selected. The first time period and the second time period may be the same or different.

In this embodiment, the dust loss influencing factor value may include dustfall amount or precipitation days, or may include dustfall amount and precipitation days, or may also include other factor values that may affect dust loss. It is understandable that the influence of the amount of dustfall on the degree of dust loss is that the greater the amount of dustfall, the greater the degree of dust loss will be; since precipitation (including rainfall and snowfall) will clean and scrub the dust on the surface of photovoltaic modules, the number of days of precipitation The influence on the dust loss degree can be considered that the dust loss degree is lower when the number of precipitation days is more. In a specific implementation manner, which types of dust loss influencing factor values to detect may be determined according to 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 amount of dust falling is called the main influencing factor of dust loss. At this time, it is not necessary to detect the value of the dust loss influencing factor of precipitation days. As another example, when the dustfall in the areas where the reference power station and the evaluation power station are located are relatively similar, but the weather conditions are quite different, the number of days of precipitation becomes the main factor affecting dust loss. value.

In a specific implementation manner, the dustfall amount collection devices of the evaluation power station and the reference power station can be respectively installed to collect the dustfall amount of the two places. In one embodiment, a photoelectric sensor can be used to detect dust particles in the atmosphere, the accumulated dustfall amount can be calculated according to the real-time concentration of dust particles in the atmosphere, and the detected accumulated dustfall amount can be uploaded to the calculation system through the photoelectric sensor. In another embodiment, considering that the real-time concentration of dust particles in the atmosphere cannot be directly equal to the accumulated dustfall amount, and the dustfall amount calculated by this method may not be accurate, it can be determined in the areas set by the evaluation power station and the reference power station respectively. Set up the dust suppression cylinder, and detect the amount of dust by collecting the dust in the dust suppression cylinder; before the detection, you can pour ethylene glycol solution into the cylinder for moisturizing and antifreezing, and the height of the dust suppression cylinder can be placed at the same height as the photovoltaic module. If it is a distributed industrial roof power station, it can be placed 2 meters from the edge of the roof to the corner of the wall (to prevent the impact of dust on the platform), and the exact time of placing and recycling the dust suppression cylinders in the two places can be recorded, which can be accurate to the minute, and the dust collected by the dust suppression cylinders will be collected in the experiment. The weight is accurately measured in the room, and then converted into the local dustfall amount according to the storage time.

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

Step S30, calculating a first ratio between the same type of dust loss influencing factor values of the reference power station and the evaluation power station, and converting the first dust loss degree into the evaluation according to the first ratio The second dust loss degree at the level of dust loss influencing factors in the area where the power station is located is used as the dust loss degree of the evaluation power station.

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

The first dust loss degree can be regarded as the dust loss degree measured at the level of dust loss influencing factors in the area set up by the reference power station. The dust loss degree at the dust loss influencing factor level (hereinafter referred to as the second dust loss degree to show the distinction), the second dust loss degree is used as the dust loss degree for evaluating the power station.

Wherein, according to the first ratio, the first dust loss degree is converted into the second dust loss degree at the dust loss influencing factor level of the area where the power station is evaluated, and the specific implementation manner is not limited in this embodiment. For example, the first ratio obtained by dividing the dust loss influencing factor value of the reference power station by the same type of dust loss influencing factor value of the evaluation power station; when the dust loss influencing factor value of this type has a positive impact on the dust loss degree, That is, when the dust loss influencing factor value of this type is larger and the dust loss degree is larger, the first dust loss degree can be divided by the first ratio corresponding to the dust loss influencing factor value of this type; when the dust of this type When the value of the loss influence factor has a negative impact on the dust loss degree, that is, when the value of the dust loss influence factor of this type is larger, the dust loss degree is smaller, and the first dust loss degree can be multiplied by the dust loss influence of this type The first ratio corresponding to the factor value; the first ratio corresponding to each type of dust loss influencing factor value is calculated according to the method and the first dust loss degree, and the result obtained is the second dust loss degree.

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

Step S301, dividing the dustfall amount of the evaluation power station by the dustfall amount of the reference power station to obtain a dustfall ratio;

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

Step S303, multiplying the ratio of dustfall amount, the ratio of precipitation days and the first dust loss degree to obtain a second dust loss degree of the evaluation power station.

For example, the first dust loss degree of the reference power station is expressed as η ₁ , the dustfall amount is expressed as A ₁ , and the number of precipitation days is expressed as B ₁ ; the second dust loss degree of the evaluation power station is expressed as η ₂ , the dustfall amount is expressed as A ₂ , and the precipitation The number of days is expressed as B ₂ , then the second degree of dust loss can be calculated as follows:

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 precipitation days and/or the amount of dust in the reference power station and the evaluation power station, the dust loss degree of the reference power station is calculated. Converted to the dust loss degree at the level of dust loss influencing factors in the area set up by the evaluated power station, the measurement method is scientific and effective, does not need to rely on manual experience estimation, and improves the accuracy of dust measurement and calculation of the evaluated power station. In addition, the values of dust loss influencing factors such as the number of precipitation days and the amount of dustfall can be obtained through measurement and detection, without the need for manual on-site investigation. Moreover, the dust loss calculation scheme of this embodiment is not only applicable to the completed evaluation power station, but also applicable to the unbuilt evaluation power station, which is more conducive to the early calculation of the local dust loss in the site selection area of the power station.

Further, based on the above-mentioned first embodiment, the second embodiment of the dust loss calculation of the photovoltaic power station of the present invention is proposed. In this embodiment, in step S20, the areas set up in the reference power station and the evaluation power station respectively within the first time period are obtained. The steps to measure the number of precipitation days include:

Step S201, obtaining daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period;

In this embodiment, a specific implementation manner of 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 is proposed.

The measuring and calculating system can obtain the daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period. For example, if the first time period includes 30 days, the daily precipitation data of the area where the reference power station is located during these 30 days is obtained, and the daily precipitation data of the area where the evaluation power station is located during these 30 days are obtained. The precipitation data of a single day may include values corresponding to at least one data item reflecting the precipitation, for example, may include values corresponding to data items such as precipitation type, rainfall amount, snowfall amount, duration of rainfall, 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 have different effects on dust loss.

Step S202, for any target day within the first time period, convert the precipitation data of the reference power station and the evaluation power station on the target day into cleaning effects corresponding to the precipitation data value;

For any day in the first time period (hereinafter referred to as the target day to distinguish), the measurement system can convert the precipitation data of the reference power station on the target day into the cleaning effect corresponding to the precipitation reflected by the precipitation data value, and convert the precipitation data of the evaluation station on the target day into the cleaning effect value corresponding to the precipitation 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.

In this embodiment, there is no limitation on the manner of converting the precipitation data into cleaning effect values. For example, in one embodiment, the cleaning effect values corresponding to different precipitation data can be set in advance; The larger the value, the greater the corresponding cleaning effect when the snowfall is greater (the cleaning effect produced when the snow is melted), the shorter the rainfall duration, the greater the corresponding cleaning effect value, and the corresponding cleaning when the temperature is above zero than below zero The effect value is larger, and the value of each data item in the precipitation data can be integrated to set the cleaning effect value corresponding to the precipitation data; when converting, directly search for the cleaning effect value corresponding to the precipitation data of the target day.

Step S203: 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 calculate the first The number of effective precipitation days is taken as the number of precipitation days measured in the area where the reference power station is set;

After the precipitation data is converted, the daily cleaning effect value of the reference power station in the first time period can be obtained, and the daily cleaning effect value of the power station in the first time period can be evaluated. The calculation system can calculate the 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 (hereinafter referred to as the first effective precipitation days to distinguish), the first effective precipitation The number of days can be used as the number of precipitation days measured in the area set by the reference power station.

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 calculating the second The number of effective precipitation days is taken as the number of precipitation days measured in the area where the evaluation power station is set.

The calculation system can also calculate the effective precipitation days (hereinafter referred to as the second effective precipitation days for distinction) of the evaluation station in the first period of time according to the daily cleaning effect value of the assessment station in the first period of time, the second effective precipitation The number of days can be used as the number of precipitation days measured in the area where the power station is evaluated.

It should be noted that the better the daily cleaning effect of the power station, the more effective precipitation days corresponding to the power station will be 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 greater the cleaning effect value, the better the cleaning effect, the daily cleaning effect values of the reference power station in the first time period can be accumulated to obtain the first effective precipitation days, and the daily precipitation of the power station in the first time period can be evaluated. The cleaning effect values are accumulated to obtain the second effective precipitation days.

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 represent the precipitation in the area, the photovoltaic module Therefore, by using the effective precipitation days as the dust loss influencing factor value to calculate the dust loss degree of the evaluation power station, the calculated dust loss degree of the evaluation power station can be made more accurate, that is, the dust loss degree of the evaluation power station can be further improved. Accuracy of loss estimation.

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

Step S2021, determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day;

In this embodiment, a method for converting the precipitation data of the reference power station on the target day into corresponding cleaning effect values is proposed.

Specifically, in this embodiment, considering that the precipitation conditions corresponding to different precipitation data correspond to different periods of time for cleaning the photovoltaic modules, for example, the period of time for cleaning when it rains is the period of rain, and the period for cleaning when it is snowing It is the snow melting period, and the calculation system can determine the start point and end point of the comparison time based on the precipitation data of the reference power station on the target day. The starting point of the comparison time is before the precipitation corresponding to the precipitation data on the target day begins to clean the photovoltaic modules, and the end point of the comparison time is after the precipitation corresponding to the precipitation data on the target day finishes cleaning the photovoltaic modules. In other implementations, the calculation system may also ignore the precipitation data of the target day, directly use the end-of-day detection time point of the target day as the end point of the comparison time, and use the end-of-day detection time point of the day before the target day as the comparison time starting point. Among them, the end-of-day detection point is the set time point for detecting the power generation of the modules on the day. For example, it can be set to 7:00 p.m. as the end-of-day detection point. Cumulative power generation up to 7:00 p.m.

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

The measuring and calculating system can obtain the difference between the measured power generation of the clean component and the compared component 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 may be the power generation of the components detected at the starting point of the comparison time on that day.

The first difference reflects the difference in power generation capacity between the clean module and the comparison module before the precipitation on the target day plays a cleaning role, that is, it reflects the dust loss before the precipitation on the target day plays a cleaning role.

Step S2023, acquiring a second difference between the measured power generation of the clean component and the compared component detected at the end of the comparison time;

The calculation system can obtain the difference between the measured power generation of the clean component detected at the end of the comparison time and the compared component (hereinafter referred to as the second difference). The measured power generation may be the power generation of the components detected at the end of the comparison time on that day.

The second difference reflects the difference in power generation capacity between the clean module and the comparison module after the precipitation on the target day plays a cleaning role, that is, it reflects the dust loss after the precipitation on the target day plays a cleaning role.

Step S2024, calculating a third difference between the first difference and the second difference, and determining the cleaning effect value of the reference power station on the target day according to the third difference.

The calculation 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 of the target day plays a cleaning role, and the second difference reflects the dust loss after the precipitation of the target day plays a cleaning role, so the first difference and The difference between the second differences (that is, the third difference) reflects the cleaning effect of the precipitation situation on the target day, so the calculation 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 may be directly used as the cleaning effect value, or the result obtained by dividing the third difference by the first difference may be used as the cleaning effect value.

Further, in one embodiment, the step S2021 includes:

Step S20211, when the precipitation situation data of the reference power station on the target day indicates that there is no snowfall or the average temperature is above zero on the target day, the end-of-day detection time point of the day before the target day is taken as The starting point of the comparison time, and the end-of-day detection time point of the target day is taken as the end point of the comparison time, wherein the measured power generation of the clean component and the comparison component is the daily power generation amount of each day in the first time period. The power generation of the modules on the day detected at the end of the detection time point;

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

Specifically, when the precipitation situation 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 starting point of the comparison time, and the day of the target day The last detection time point was used as the end point of the comparison time.

Step S20212, when the precipitation situation 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, use the end-of-day detection time point of the day before the target day as a comparison For the starting point of time, the end-of-day detection time point of the snow melting day corresponding to the target day is used as the end point of the comparison time.

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 this day may accumulate snow, and the cleaning effect of the snow accumulation will not be reflected until the snow melts. At this time, the The end-of-day detection time point of the day before the target day is used as the start point of the comparison time, and the end-of-day detection time point of the snow melting day corresponding to the target day is 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 snow cover is completely melted after the snow falls on the target day, can be determined according to the precipitation data of the next few days after the target day, that is, the precipitation data of the next few days after the target day indicates which day will no longer If there is snow, that day is the snow melting day corresponding to the target day.

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

S2025. Determine a reference day from each preset sample day, wherein the precipitation in the first time window corresponding to the reference day is consistent with the precipitation in the second time window corresponding to the target day, and the first time The window is a time period formed by the reference date and the preset number of days before the reference day, and the second time window is a time period formed by the target date and the preset number of days before the target date;

In this embodiment, since the evaluation power station is under construction or has not yet started construction, and the conditions for setting up comparison components and clean components are not yet available, so in this embodiment, it is proposed to use multiple sample days with different precipitation conditions measured in advance. For the corresponding cleaning effect value, by comparing the precipitation on the target day with the sample day, the cleaning effect value corresponding to the sample day that is consistent with the precipitation on the target day in each sample day is taken as the cleaning effect value on the target day, In this way, the cleaning effect value for evaluating the relative accuracy of the power station on the target date is obtained indirectly.

In a specific implementation, it is possible to collect the precipitation data in the area where the reference power station is set up in advance, and detect the power generation of the clean components and the comparison components in the reference power station, and through the cleaning corresponding to steps S2021 to S2024 in the second embodiment above The effect value calculation method calculates the cleaning effect value corresponding to the reference power station on each sample day, and the precipitation data reflected by the precipitation data of each sample day are different. The cleaning effect value of sample days with various precipitation conditions can be measured by lengthening the test time, or various precipitation conditions can be simulated by artificial rainfall or snowfall to obtain sample days with various precipitation conditions The corresponding cleaning effect value.

In one embodiment, the cleaning effect brought by the precipitation on the target day is also related to the precipitation on the previous few days of the target day; Several days of rainfall has cleaned the dust on the surface of photovoltaic modules relatively clean, so even if there is heavy rain or even heavy rain on the target day, the cleaning effect will not be obvious; If there is rainfall on that day, the cleaning effect brought by the rainfall on the target day will be more obvious. Taking this into consideration, the time period formed by the target date and the preset number of days before the target date can be regarded as a time window (hereinafter referred to as the second time window for distinction), and the sample date and the preset number of days before the sample day The formed time period is used as a time window (hereinafter referred to as the third time window to distinguish), if the precipitation of the third time window of a sample day is consistent with the precipitation of the second time window of the target day, then the This sample date is used as the reference date. Among them, the preset number of days can be set according to needs, and it is not limited here. For example, if it is set to 4 days, then a window includes 5 days; The value is more accurate. Hereinafter, the third time window corresponding to the reference day is called the first time window to distinguish it from the third time window of other sample days.

S2026. Use the preset cleaning effect value corresponding to the precipitation situation in the first time window as the cleaning effect value of the evaluation power station on the target day.

The calculation system uses the preset cleaning effect value corresponding to the precipitation in the first time window as the cleaning effect value of the estimated power station on the target day.

Further, in one embodiment, the step S2025 includes:

Step S20251, for any target sample day among the preset sample days, comparing the precipitation situation 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 the time period formed by the target sample day and the preset number of days before the target sample day;

In this embodiment, a method of determining whether the precipitation of the third time window of the sample day pair is consistent with that of the second time window of the target day pair is proposed. Specifically, for any one of the preset sample days (hereinafter referred to as the target sample day for distinction), the measurement system can sort the same date in the second time window and the third time window corresponding to the target sample day compared with the precipitation data. It can be understood that the number of days included in the second time window and the third time window are the same, the days included in the second time window are sorted in chronological order, and the days included in the third time window are also arranged in chronological order Sorting, the two days that are sorted the same in the two time windows are the same days, that is, the precipitation data of the first day in the second time window is compared with the precipitation data of the first day in the third time window, 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.

Step S20252, if the precipitation situation data of the same sorted day in the second time window and the third time window are all correspondingly matched, then use the target sample day as a reference day.

If the precipitation situation data of the same sorting day in the second time window and the third time window are all correspondingly compared, it can be determined that the precipitation situation in the third time window is consistent with the precipitation situation in the second time window. At this time, the target sample day as the reference date. That is, if the precipitation situation data of the first day in the second time window is consistent with the precipitation situation data of the first day in the third time window, the precipitation situation data of the second day in the second time window is consistent with the precipitation situation data of the third time window. The precipitation situation data of the second day in the time window is consistent, and by analogy, the precipitation situation data of the nth day in the second time window is consistent with the precipitation situation data of the nth day in the third time window, then it can be It is determined that the precipitation situation in the third time window is consistent with the precipitation situation in the second time window. In this embodiment, there is no limitation on the determination condition for the consistency of the comparison of the precipitation situation data on the same sorting day. For example, in one embodiment, when the precipitation situation data includes the values of multiple data items, the value range to which the values of the data items belong can be determined, and the value range of the data items can be divided into multiple values in advance Intervals, for example, rainfall can be divided into four intervals to correspond to light rain, moderate rain, heavy rain and heavy rain respectively; determine whether the values of the same data items in the precipitation data of the same day are in the same value interval, if the same day is sorted The values of the same data item in the precipitation data are all in the same value range, so it can be determined that the precipitation data of the same date are compared consistently. For example, suppose the precipitation data includes the values of two data items, if the second The value interval of the first data item in the precipitation data of the first day in the time window is the same as the value of the first data item in the precipitation data of the first day in the third time window The value range is the same, the value range of the second data item in the precipitation data of the first day in the second time window is the same as the second data item in the precipitation data of the first day in the third time window If the values of the data items are in the same value range, it can be determined that the precipitation data of the first day in the second time window is consistent with the precipitation data of the first day in the third time window.

Further, in one embodiment, as shown in Figure 3, the measurement system can be deployed on the cloud platform, the dust detection device detects the reference power station and evaluates the amount of dust falling in the power station, and the cleaning device cleans the clean components in the reference power station. The power generation detection device detects the power generation of the clean component and the comparison component, obtains the dustfall and meteorological information of the reference power station and the evaluation power station through the cloud platform, and obtains the power generation data of the clean component and the comparison component of the reference power station, and then based on the obtained The data is calculated to evaluate the dust loss degree of the power station.

In addition, the embodiment of the present invention also proposes a photovoltaic power station dust loss measurement device, referring to Figure 4, the photovoltaic power station dust loss measurement device includes:

The first acquisition module 10 is used to acquire the first dust loss degree of the built reference power station;

The second acquisition module 20 is used to acquire the dust loss influencing factor values measured in the areas where the reference power station and the evaluation power station are respectively set during the first period of time, wherein the dust loss influencing factor values include the amount of dust falling and/or days of precipitation;

A calculation module 30, configured to calculate a first ratio between the same type of dust loss influencing factor values of the reference power station and the evaluation power station, and convert the first dust loss degree into The second dust loss degree at the level of dust loss influencing factors in the area where the evaluation power station is located is used as the dust loss degree of the evaluation power station.

Further, the first acquiring module 10 is also used for:

Obtaining the initial power generation corresponding to the clean component and the comparison component in the reference power station, wherein the initial power generation is the power generation measured after the clean component and the comparison component are wiped clean of dust;

Acquiring the first power generation measured for the clean component kept clean within a second time period, and the second power generation measured for the comparison component that has not been cleaned within the second time period;

calculating a second ratio between the first power generation and the second power generation, according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio It is converted into a fourth ratio that is not affected by individual component differences, and the first dust loss degree of the reference power station is calculated according to the fourth ratio.

Further, the dust loss calculation device of the photovoltaic power station also includes:

A control module, configured to control the cleaning device to perform cleaning processing on the cleaning component at each predetermined time point within the second time period.

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

Obtain daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period;

For any target day within the first time period, converting the precipitation situation data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation situation data;

According to the daily cleaning effect value of the reference power station in the first time period, the first effective precipitation days of the reference power station in the first time period are calculated, and the first effective precipitation days are calculated as as the number of days of precipitation measured in the area where said reference power station is located;

According to the daily cleaning effect value of the evaluation power station in the first time period, the second effective precipitation days of the evaluation power station in the first time period are calculated, and the second effective precipitation days are calculated as the number of days of precipitation measured in the area where the evaluation power station is set.

Further, the second acquiring module 20 is also used for:

determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day;

Obtaining a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the start point of the comparison time;

obtaining a second difference between the measured power generation of the clean component and the compared component detected at the end of the comparison time;

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

Further, the second acquiring module 20 is also used for:

When the precipitation situation data of the reference power station on the target day indicates that there is no snowfall or the average temperature is above zero on the target day, the end-of-day detection time point of the day before the target day is used as the starting point of the comparison time , taking the end-of-day detection time point of the target day as the end point of the comparison time, wherein the measured power generation of the clean component and the comparison component is the end-of-day detection time of each day in the first time period The day-to-day power generation of components detected by point detection;

When the precipitation situation 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 starting point of the comparison time, 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.

Further, the second acquiring module 20 is also used for:

A reference day is determined from each preset sample day, wherein the precipitation situation in the first time window corresponding to the reference day is consistent with the precipitation situation in the second time window corresponding to the target day, and the first time window is The time period formed by the reference date and the preset number of days before the reference day, and the second time window is the time period formed by the target date and the preset number of days before the target date;

The preset cleaning effect value corresponding to the precipitation situation in the first time window is used as the cleaning effect value of the evaluation power station on the target day.

Further, the precipitation situation data includes values of multiple data items, and the second acquisition module 20 is also used for:

For any target sample day in the preset sample days, compare the precipitation situation 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 the time period formed by the target sample day and the preset number of days before the target sample day;

If the precipitation situation data of the same sorted day in the second time window and the third time window are all correspondingly compared, the target sample day is taken as a reference day.

Further, when the value of the dust loss influencing factor includes the amount of dustfall and the number of precipitation days, the calculation module 30 is also used for:

Dividing the dustfall amount of the evaluation power station by the dustfall amount of the reference power station to obtain a dustfall ratio;

dividing the precipitation days of the reference power station by the precipitation days of the evaluation power station to obtain a ratio of precipitation days;

The second dust loss degree of the evaluation power station is obtained by multiplying the ratio of dustfall amount, the ratio of precipitation days and the first dust loss degree.

The expanded content of the specific implementation of the device for measuring and calculating the dust loss of a photovoltaic power station according to the present invention is basically the same as the embodiments of the method for measuring and calculating the dust loss of a photovoltaic power station, and will not be repeated here.

In addition, the embodiment of the present invention also proposes a computer-readable storage medium, the storage medium is stored with a photovoltaic power plant dust loss calculation program, and when the photovoltaic power plant dust loss calculation program is executed by a processor, the photovoltaic power plant as described below is realized Steps in the Dust Loss Calculation Method.

The various embodiments of the photovoltaic power plant dust loss measurement device and the computer-readable storage medium of the present invention can refer to the various embodiments of the photovoltaic power plant dust loss measurement method of the present invention, and will not be repeated here.

It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.

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

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in various embodiments of the present invention.

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 conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (12)

1. A method for measuring and calculating the dust loss of a photovoltaic power station is characterized in that, the method for measuring and calculating the dust loss of a photovoltaic power station comprises the following steps: Obtain the first dust loss degree of the built reference power station; Acquiring the dust loss influencing factor values measured in the reference power station and the evaluation power station respectively within the first time period, wherein the dust loss influencing factor values include the amount of dust falling and/or the number of days of precipitation; calculating a first ratio between the dust loss influencing factor values of the same type in the reference power station and the evaluation power station, and converting the first dust loss degree to the value set by the evaluation power station according to the first ratio The second dust loss degree at the dust loss influencing factor level of the area, and the second dust loss degree is used as the dust loss degree of the evaluation power station. 2. The method for measuring and calculating the dust loss of a photovoltaic power station according to claim 1, wherein the step of obtaining the first dust loss degree of a built reference power station comprises: Obtaining the initial power generation corresponding to the clean component and the comparison component in the reference power station, wherein the initial power generation is the power generation measured after the clean component and the comparison component are wiped clean of dust; Acquiring the first power generation measured for the clean component kept clean within a second time period, and the second power generation measured for the comparison component that has not been cleaned within the second time period; calculating a second ratio between the first power generation and the second power generation, according to a third ratio between the initial power generation of the clean component and the comparison component, the second ratio It is converted into a fourth ratio that is not affected by individual component differences, and the first dust loss degree of the reference power station is calculated according to the fourth ratio. 3. The method for measuring and calculating the dust loss of a photovoltaic power station as claimed in claim 2, wherein the method for measuring and calculating the dust loss of a photovoltaic power station further comprises: The cleaning device is controlled at each predetermined time point within the second time period to perform cleaning processing on the cleaning component. 4. The method for measuring and calculating the dust loss of a photovoltaic power station according to claim 1, wherein when the value of the dust loss influencing factor includes the number of days of precipitation, the first time period is respectively set in the reference power station and the evaluation power station. The steps to obtain the number of days of precipitation measured by area include: Obtain daily precipitation data measured in the areas where the reference power station and the evaluation power station are respectively set during the first time period; For any target day within the first time period, converting the precipitation situation data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation situation data; The first effective precipitation days of the reference power station in the first time period are calculated according to the daily cleaning effect value of the reference power station in the first time period, and the first effective precipitation days are calculated as the number of days of precipitation measured in the area where said reference power station is located; According to the daily cleaning effect value of the evaluation power station in the first time period, the second effective precipitation days of the evaluation power station in the first time period are calculated, and the second effective precipitation days are calculated as the number of days of precipitation measured in the area where the evaluation power station is set. 5. The method for measuring and calculating the dust loss of a photovoltaic power station according to claim 4, wherein 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 include: determining a comparison time start point and a comparison time end point according to the precipitation situation data of the reference power station on the target day; Obtaining a first difference between the measured power generation of the clean component and the comparison component in the reference power plant detected at the start point of the comparison time; obtaining a second difference between the measured power generation of the clean component and the compared component detected at the end of the comparison time; A third difference between the first difference and the second difference is calculated, and the cleaning effect value of the reference power station on the target day is determined according to the third difference. 6. The method for measuring and calculating the dust loss of a photovoltaic power station according to claim 5, wherein the step of determining the starting point of the comparison time and the end point of the comparison time according to the precipitation situation data of the reference power station on the target day comprises: When the precipitation situation data of the reference power station on the target day indicates that there is no snowfall or the average temperature is above zero on the target day, the end-of-day detection time point of the day before the target day is used as the starting point of the comparison time , taking the end-of-day detection time point of the target day as the end point of the comparison time, wherein the measured power generation of the clean component and the comparison component is the end-of-day detection time of each day in the first time period The day-to-day power generation of components detected by point detection; When the precipitation situation 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 starting point of the comparison time, 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. 7. The method for measuring and calculating the dust loss of a photovoltaic power station according to claim 4, characterized in that, the step of converting the precipitation situation data of the evaluation power station on the target day into the cleaning effect value corresponding to the precipitation situation data include: A reference day is determined from each preset sample day, wherein the precipitation situation in the first time window corresponding to the reference day is consistent with the precipitation situation in the second time window corresponding to the target day, and the first time window is The time period formed by the reference date and the preset number of days before the reference day, and the second time window is the time period formed by the target date and the preset number of days before the target date; The preset cleaning effect value corresponding to the precipitation situation in the first time window is used as the cleaning effect value of the evaluation power station on the target day. 8. The method for measuring and calculating the dust loss of photovoltaic power plants as claimed in claim 7, wherein the precipitation data includes the values of a plurality of data items, and the step of determining a reference day from each preset sample day includes : For any target sample day in the preset sample days, compare the precipitation situation 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 the time period formed by the target sample day and the preset number of days before the target sample day; If the precipitation situation data of the same sorted day in the second time window and the third time window are all correspondingly compared, the target sample day is taken as a reference day. 9. The method for calculating the dust loss of a photovoltaic power station according to any one of claims 1 to 8, wherein when the dust loss influencing factor value includes dustfall and precipitation days, the calculation of the reference power station and The first ratio between the dust loss influencing factor values of the same type of the evaluation power station, according to the first ratio, the first dust loss degree is converted into the dust loss influencing factor of the area where the evaluation power station is set The second dust loss degree under the level, the step of using the second dust loss degree as the dust loss degree of the evaluation power station includes: Dividing the dustfall amount of the evaluation power station by the dustfall amount of the reference power station to obtain a dustfall ratio; dividing the precipitation days of the reference power station by the precipitation days of the evaluation power station to obtain a ratio of precipitation days; The second dust loss degree of the evaluation power station is obtained by multiplying the ratio of dustfall amount, the ratio of precipitation days and the first dust loss degree. 10. A photovoltaic power station dust loss measurement device, characterized in that the photovoltaic power station dust loss measurement device includes: The first acquisition module is used to acquire the first dust loss degree of the built reference power station; The second acquisition module is used to acquire the dust loss influencing factor values measured in the areas where the reference power station and the evaluation power station are respectively set within the first time period, wherein the dust loss influencing factor values include dustfall and/or precipitation number of days; A calculation module, configured to calculate a first ratio between the same type of dust loss influencing factor values of the reference power station and the evaluation power station, and convert the first dust loss degree into the first ratio according to the first ratio The second dust loss degree at the level of dust loss influencing factors in the area where the evaluation power station is set is used as the dust loss degree of the evaluation power station. 11. A photovoltaic power station dust loss measurement device, characterized in that, the photovoltaic power station dust loss measurement device includes: a memory, a processor, and a photovoltaic power station dust loss stored on the memory and operable on the processor A calculation program, when the program for calculating the dust loss of a photovoltaic power station is executed by the processor, the steps of the method for measuring and calculating the dust loss of a photovoltaic power station according to any one of claims 1 to 9 are realized. 12. A computer-readable storage medium, characterized in that, the computer-readable storage medium is stored with a photovoltaic power station dust loss calculation program, and when the photovoltaic power station dust loss calculation program is executed by a processor, it realizes the following claims 1 to 1: Steps in the method for calculating the dust loss of photovoltaic power plants described in any one of 9.

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