CN115532753A

CN115532753A - Photovoltaic power station dust loss measuring and calculating method, device, equipment and storage medium

Info

Publication number: CN115532753A
Application number: CN202211071628.1A
Authority: CN
Inventors: 余海; 祝水星; 李磊; 纪克鹏
Original assignee: Sungrow Renewables Development Co Ltd
Current assignee: Sungrow Renewables Development Co Ltd
Priority date: 2022-09-02
Filing date: 2022-09-02
Publication date: 2022-12-30

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 station dust loss measuring and calculating method, device, equipment and storage medium

Technical Field

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

Background

The photovoltaic power station is difficult to accurately evaluate the generated energy before being newly built, the generated energy of the power station is greatly influenced by environmental factors of the area, and besides the local irradiance degree, dust has the greatest influence on the power generation efficiency of the power station. Because the dust is not uniformly distributed and is influenced by seasons and weather conditions, no good method exists for measuring and calculating the dust loss of the power station at present.

At present, the dust loss of the power station is estimated roughly according to the pollution situation observed by site survey and the geographical area where the power station is located and the precipitation, and the accuracy depends on manual experience.

Disclosure of Invention

The invention mainly aims to provide a method, a device and equipment for measuring and calculating dust loss of a photovoltaic power station and a computer readable storage medium, and aims to provide a measuring and calculating method for calculating and evaluating the dust loss degree of the power station based on the dust loss degree of a reference power station and dust loss influence factor values of the reference power station and an evaluation power station, so that the accuracy of measuring and calculating the dust loss degree of the photovoltaic power station is improved.

In order to achieve the purpose, the invention provides a photovoltaic power station dust loss measuring and calculating method, which 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 the reference power station and the 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 where the evaluation power station is arranged according to the first ratio, and taking the second dust loss degree as the dust loss degree of the evaluation power station.

Optionally, the step of obtaining a first degree of dust loss of the established reference power station comprises:

acquiring initial generating capacity respectively corresponding to a clean component and a comparison component in the reference power station, wherein the initial generating capacity is the generated generating capacity measured after the clean component and the comparison component are wiped clean of dust;

acquiring a first power generation amount measured on the clean component kept clean in a second time period and a second power generation amount measured on the comparison component which is not cleaned in the second time period;

calculating a second ratio between the first power generation amount and the second power generation amount, converting the second ratio into a fourth ratio which is not influenced by the difference of the single components according to a third ratio between the initial power generation amounts of the clean component and the comparison component, and calculating a first dust loss degree of the reference power station according to the fourth ratio.

Optionally, the method for measuring and calculating the dust loss of the photovoltaic power station further comprises:

and controlling a cleaning device to clean the clean component at each preset time point in the second time period.

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

acquiring daily precipitation condition data measured in areas set by the reference power station and the evaluation power station respectively in a first time period;

for any target day in the first time period, respectively converting the precipitation condition data of the reference power station and the evaluation power station in the target day into cleaning effect values corresponding to the precipitation condition data;

calculating to obtain a first effective precipitation day number of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and taking the first effective precipitation day number as a precipitation day number measured in an area set by the reference power station;

and calculating to obtain a second effective precipitation day number of the evaluation power station in the first time period according to the daily cleaning effect value of the evaluation power station in the first time period, and taking the second effective precipitation day number as the precipitation day number measured in the area set by the evaluation power station.

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

determining a comparison time starting point and a comparison time ending point according to the precipitation condition data of the reference power station on the target day;

acquiring a first difference value between the actually-measured power generation amounts of a clean component and a comparison component in the reference power station detected at the comparison time starting point;

acquiring a second difference value between the measured power generation amounts of the clean component and the comparison component detected at the comparison time end point;

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

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

when the precipitation condition data of the reference power station on the target day indicates that the target day has no snow or has an average temperature of zero, taking a date-end detection time point of a day before the target day as a comparison time starting point and taking a date-end detection time point of the target day as a comparison time end point, wherein the actually-measured power generation amount of the clean component and the comparison component is the current-day component power generation amount detected at the date-end detection time point of the day in the first time period;

and when the rainfall condition data of the reference power station on the target day indicates that snow falls on the target day and the average temperature is below zero, taking the end-of-day detection time point of the day before the target day as a comparison time starting point and taking the end-of-day detection time point of the snow melting day corresponding to the target day as a comparison time end point.

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

determining a reference day from preset sample days, wherein the precipitation condition of a first time window corresponding to the reference day is consistent with that of a second time window corresponding to the target day, the first time window is a time period formed by the reference day and a preset number of days before the reference day, and the second time window is a time period formed by the target day and the preset number of days before the target day;

and taking a preset cleaning effect value corresponding to the precipitation condition of the first time window as the cleaning effect value of the evaluation power station on the target day.

Optionally, the precipitation condition data includes values of a plurality of data items, and the step of determining the reference day from the preset sample days includes:

comparing the precipitation condition data of the same sequencing day in a second time window and a third time window corresponding to the target sample day for any one preset target sample day in each sample day, wherein the third time window is a time period formed by the target sample day and the preset number of days before the target sample day;

and if the precipitation condition data of the same sorting day in the second time window and the third time window are correspondingly compared and consistent, taking the target sample day as a reference day.

Optionally, when the dust loss influence factor values include precipitation amount and precipitation days, the calculating a first ratio between the dust loss influence factor values of the same type for the reference power station and the evaluation power station, and converting the first dust loss degree into a second dust loss degree at a dust loss influence factor level of an area where the evaluation power station is located according to the first ratio, wherein the step of using the second dust loss degree as the dust loss degree of the evaluation power station includes:

dividing the dust reduction amount of the evaluation power station by the dust reduction amount of the reference power station to obtain a dust reduction amount ratio;

dividing the days of precipitation for the reference plant by the days of precipitation for the evaluation plant to yield a ratio of days of precipitation;

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

In order to achieve the above object, the present invention further provides a photovoltaic power station dust loss measurement and calculation device, including:

the first acquisition module is used for acquiring a first dust loss degree of the built reference power station;

the second acquisition module is used for acquiring dust loss influence factor values which are respectively measured in areas set by the reference power station and the evaluation power station in a first time period, wherein the dust loss influence factor values comprise dust precipitation amount and/or precipitation days;

and the calculation module is used for 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.

In order to achieve the above object, the present invention further provides a photovoltaic power station dust loss measurement and calculation device, including: the dust loss estimation method comprises a memory, a processor and a dust loss estimation program of the photovoltaic power station, wherein the dust loss estimation program of the photovoltaic power station is stored on the memory and can run on the processor, and when the dust loss estimation program of the photovoltaic power station is executed by the processor, the dust loss estimation method of the photovoltaic power station is realized.

In addition, to achieve the above object, the present invention further provides a computer readable storage medium, on which a photovoltaic power station dust loss estimation program is stored, which when executed by a processor implements the steps of the photovoltaic power station dust loss estimation method as described above.

According to the dust loss degree calculation method, the dust loss degree of the reference power station is converted into the dust loss degree under the dust loss influence factor level of the area where the power station to be evaluated is arranged by means of the known dust loss degree of the built reference power station and by combining the dust loss influence factor values such as precipitation days and/or precipitation quantities of the reference power station and the evaluation power station, the calculation method is scientific and effective, manual experience estimation is not needed, and the accuracy of dust calculation of the evaluation power station is improved. And dust loss influence factor values such as precipitation days, precipitation amount and the like can be obtained through measurement and detection, and manual on-site investigation is not needed. Moreover, the dust loss measuring and calculating scheme is not only suitable for the built evaluation power station, but also suitable for the non-built evaluation power station, and is more beneficial to measuring and calculating the local dust loss of the site selection area of the power station in advance.

Drawings

FIG. 1 is a schematic diagram of a hardware operating environment according to an embodiment of the present invention;

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

FIG. 3 is a schematic diagram of a measurement and calculation system according to an embodiment of the present invention;

fig. 4 is a functional block diagram of a photovoltaic power station dust loss measurement and calculation apparatus according to a preferred embodiment of the present invention.

The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.

It should be noted that, in the photovoltaic power station dust loss measurement and calculation device according to the embodiment of the present invention, the photovoltaic power station dust loss measurement and calculation device may be a smart phone, a personal computer, a server, or other devices, and is not limited herein.

As shown in fig. 1, the photovoltaic power plant dust loss estimation apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective 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, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.

It will be understood by those skilled in the art that the device configuration shown in fig. 1 does not constitute a limitation of the photovoltaic plant dust loss estimation device and may comprise more or less components than those shown, or some components in combination, or a different arrangement of components.

As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a photovoltaic power plant dust loss estimation program. The operating system is a program for managing and controlling hardware and software resources of the equipment and supports the dust loss measuring and calculating program of the photovoltaic power station and the operation of other software or programs. In the device shown in fig. 1, the user interface 1003 is mainly used for data communication with a client; the network interface 1004 is mainly used for establishing communication connection with a server; and the processor 1001 may be configured to call the photovoltaic power plant dust loss measurement program stored in the memory 1005, and perform the following operations:

acquiring a first dust loss degree of the built reference power station;

and calculating a first ratio between the dust loss influence factor values of the reference power station and the evaluation power station which are of 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.

Further, the operation of acquiring the first degree of dust loss of the established reference power station includes:

acquiring initial power generation amounts respectively corresponding to a clean component and a comparison component in the reference power station, wherein the initial power generation amounts are power generation amounts measured after the clean component and the comparison component are cleaned with dust;

Further, the processor 1001 may be further configured to call the photovoltaic power plant dust loss measurement program stored in the memory 1005, and perform the following operations:

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

acquiring daily rainfall condition data measured in areas set by the reference power station and the evaluation power station respectively in a first time period;

for any target day in the first time period, respectively converting the precipitation condition data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation condition data;

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

acquiring a first difference value between the measured power generation amounts of a clean component and a comparison component in the reference power station detected at the comparison time starting point;

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

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

Further, the precipitation condition data includes values of a plurality of data items, and the operation of determining the reference day from the preset sample days includes:

comparing the precipitation condition data of the same sequencing day in a second time window and a third time window corresponding to the target sample day for any one preset target sample day, wherein the third time window is a time period formed by the target sample day and the preset number of days before the target sample day;

Further, when the dust loss influence factor values include a dust reduction amount and a number of days of precipitation, the calculating a first ratio between the dust loss influence factor values of the same type of the reference power station and the evaluation power station, and converting the first dust loss degree into a second dust loss degree at a dust loss influence factor level of an area where the evaluation power station is located according to the first ratio, the operation of using the second dust loss degree as the dust loss degree of the evaluation power station includes:

dividing the number of precipitation days of the reference plant by the number of precipitation days of the evaluation plant to obtain a ratio of precipitation days;

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

Based on the structure, various embodiments of the photovoltaic power station dust loss measuring and calculating method are provided.

Referring to fig. 2, fig. 2 is a schematic flow chart of a photovoltaic power station dust loss measurement method according to a first embodiment of the present invention.

Embodiments of the present invention provide an embodiment of a method for measuring and calculating dust loss of a photovoltaic power station, and it should be noted that although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different sequence than here. In this embodiment, the executing subject of the method for measuring and calculating dust loss of a photovoltaic power station may be a cloud platform, a personal computer, a smart phone, a server, etc., and for convenience of description, the following describes each embodiment with the measuring and calculating system as the executing subject. In this embodiment, the method for measuring and calculating the dust loss of the photovoltaic power station comprises the following steps:

step S10, acquiring a first dust loss degree of the built reference power station;

the dust loss refers to the loss of the power generation capacity of the photovoltaic module caused by the dust accumulated on the photovoltaic module, and the visual effect is to reduce the power generation efficiency of the power station.

In the present embodiment, a power station that has been built and used to assist in testing the degree of dust loss of another power station is referred to as a reference power station. In a specific application scenario, the reference power station may be a power station specially used for an experiment, or may be a power station built for production, which is not limited in this embodiment. Since the reference power station is already built, the degree of dust loss of the reference power station (hereinafter referred to as a first degree of dust loss for distinction) can be measured by a certain means. The method for measuring the first dust loss degree is not limited in this embodiment. For example, in one embodiment, two groups of photovoltaic modules may be selected from the reference power station, one group of photovoltaic modules may be used as a clean module and may be cleaned periodically to maintain cleanliness, and the other group of photovoltaic modules may be used as a comparison module and may not be cleaned; measuring the power generation amount of the two groups of components in the same period of time, subtracting the power generation amount of the comparison component from the power generation amount of the clean component, and dividing the power generation amount of the comparison component by the power generation amount of the clean component to obtain a result as a first dust loss degree; the measuring and calculating system can directly obtain the first dust loss degree calculated according to the method, and can also obtain the first dust loss degree calculated according to the power generation amount after the power generation amount of the two groups of assemblies detected by the power generation amount detection device is obtained.

Further, in an embodiment, the step S10 includes:

step S101, acquiring initial power generation amounts corresponding to a clean component and a comparison component in the reference power station respectively, wherein the initial power generation amounts are power generation amounts measured after the clean component and the comparison component are cleaned with dust;

in the present embodiment, a method for measuring the first dust loss degree is provided. The power generation amounts of the clean component and the comparison component for a certain period of time (hereinafter referred to as initial power generation amounts for distinction) can be detected by the power generation amount detection means after both the clean component and the comparison component in the reference power station are wiped clean of dust. 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 that the difference between the initial power generation of the two modules is the power generation difference caused by the single difference between the two modules. The specific implementation manner of the generated energy detection device is not limited in this embodiment, and for example, one micro inverter may be used to connect the clean component and the comparison component for grid connection, and the generated energy data of the two groups of components is collected by the micro inverter and uploaded to the measurement and calculation system.

The measuring and calculating system can obtain initial power generation quantities respectively corresponding to the clean component and the comparison component which are detected by the power generation quantity detection device.

Step S102, acquiring a first power generation amount measured for the clean component kept clean in a second time period and a second power generation amount measured for the comparison component which is not cleaned in the second time period;

the power generation amount of the clean component during the second period (hereinafter referred to as the first power generation amount to be distinguished) may be detected by the power generation amount detection means, and the clean component may be periodically cleaned by a manual or automated cleaning tool during the second period so as to keep the clean component clean. The power generation amount of the comparison module in a second time period (hereinafter referred to as a second power generation amount for distinction) in which the comparison module is not cleaned and a state of natural falling ash is maintained can also be detected by the power generation amount detection means.

The measuring and calculating system can obtain the first power generation amount of the clean component and the second power generation amount of the comparison component, which are detected by the power generation amount detection device.

Step S103, calculating a second ratio between the first power generation amount and the second power generation amount, converting the second ratio into a fourth ratio which is not influenced by the difference of the single components according to a third ratio between the initial power generation amounts of the clean component and the comparison component, and calculating a first dust loss degree of the reference power station according to the fourth ratio.

After the first power generation amount and the second power generation amount are obtained, the measurement and calculation system can calculate a ratio between the first power generation amount and the second power generation amount (hereinafter referred to as a second ratio for showing distinction) and a ratio between the initial power generation amount of the clean component and the initial power generation amount of the comparison component (hereinafter referred to as a third ratio for showing distinction). The difference between the power generation amounts of the clean component and the comparison component is affected by the monomer difference of the two components in addition to the dust. The measuring and calculating system can convert the second ratio into a fourth ratio which is not influenced by the difference of the component monomers according to the third ratio, so that the first dust loss degree of the reference power station is calculated according to the fourth ratio, the accuracy of the calculated first dust loss degree is improved, the accuracy of the dust loss degree of the evaluation power station calculated according to the first dust loss degree can be improved, and the dust loss measuring and calculating accuracy is improved.

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

Further, in an embodiment, the method for measuring and calculating the dust loss of the photovoltaic power station further comprises the following steps:

step a, controlling a cleaning device to clean the clean component at each preset time point in the second time period.

In this embodiment, the cleaning device may be used to clean the clean component, and the measurement system may be used to control the cleaning device to clean the clean component at each predetermined time point in the second time period. The predetermined time point may be set as required, for example, 7 days per night in the second time period. The implementation of the cleaning device is not limited herein. For example, in one embodiment, the rails may be installed on both sides of the clean component, the motor drives the brush roller to move along the rails to the clean component for cleaning, and the brush roller is returned after cleaning.

Step S20, obtaining dust loss influence factor values respectively measured in areas set by the reference power station and the evaluation power station in a first time period, wherein the dust loss influence factor values comprise dust precipitation amount and/or precipitation days;

for a power station that has not yet been built or is under construction, if the degree of dust loss 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 measurement and calculation scheme of the embodiment is also applicable to the site selection stage of the evaluation power station, that is, the dust loss degree of the evaluation power station is measured and calculated when the evaluation power station is set in the area to be selected.

And acquiring dust loss influence factor values respectively measured in the areas set by the reference power station and the evaluation power station in the first time period. The area of the evaluation power station can be an area where the evaluation power station is built or an area where the evaluation power station is selected. The first time period may be set as required, and is not limited in this embodiment, and may be, for example, one month. The first time period and the second time period may be the same or different.

In this embodiment, the dust loss influence factor value may include the dust fall amount or the number of days of precipitation, or may include the dust fall amount and the number of days of precipitation, or may further include other factor values that may influence the dust loss. It can be understood that the influence of the dust reduction amount on the dust loss degree is that the larger the dust reduction amount is, the larger the dust loss degree is; since precipitation (including rainfall and snowfall) can act as a cleaning scrub to the surface of the photovoltaic module, the effect of the number of days of precipitation on the degree of dust loss can be considered as the lower the degree of dust loss is the higher the number of days of precipitation. In particular embodiments, which types of dust loss contributor values are detected may be determined according to the contributor factors that may be present in a particular application scenario. For example, when the precipitation conditions of the reference power station and the evaluation power station are relatively close, the precipitation amount is called as a main influence factor of dust loss, and at this time, the dust loss influence factor value of the precipitation days does not need to be detected. For another example, when the dust fall amount of the reference power station and the evaluation power station is relatively close and the difference of the weather conditions is relatively large, the number of days of precipitation becomes a main influence factor of dust loss, and at this time, it may not be necessary to detect the dust loss influence factor value of the dust fall amount.

In a specific embodiment, the dust reduction amount of two places can be collected by respectively arranging the dust reduction amount collecting devices in the areas where the evaluation power station and the reference power station are arranged. In one embodiment, a photoelectric sensor may be used to detect dust particles in the atmosphere, calculate the accumulated dust fall amount according to the real-time dust particle concentration in the atmosphere, and upload the detected accumulated dust fall amount to the calculation system through the photoelectric sensor. In another embodiment, considering that the real-time dust particle concentration in the atmosphere and the accumulated dust reduction amount cannot be directly equal, and the calculated dust reduction amount according to the method is not high in accuracy, dust reduction cylinders can be respectively arranged in the areas arranged in the evaluation power station and the reference power station, and the dust reduction amount can be detected in a dust reduction cylinder mode; before the detection, the ethylene glycol solution can be poured into the cylinders for moisturizing and freezing prevention, the placing height of the dust falling cylinders can be consistent with the height of the photovoltaic module, if the power station is a distributed industrial roof power station, the power station can be placed at the position 2 meters away from the corner of a roof (the influence of platform dust raising is prevented), the accurate placing and recycling time of the dust falling cylinders in two places is recorded, the accurate placing and recycling time can be up to minutes, dust collected by the dust falling cylinders is accurately measured and calculated in a laboratory, and then the local dust falling amount is converted according to the placing time.

In a specific embodiment, the number of days of precipitation may be the number of days of precipitation in the area set by the power station in the accumulated first time period; or, the cleaning effect of the photovoltaic module is different in consideration of the rainfall with different intensities and the rainfall with different types, so that the effective rainfall days can be calculated according to the cleaning effect corresponding to the daily rainfall condition data in the first time period, and the effective rainfall days are cleaned as the actual rainfall days for the surface dust of the photovoltaic module. The number of days of precipitation can be calculated by collecting precipitation condition data of an area where the power station is arranged in the first time period, the measuring and calculating system can directly obtain the number of days of precipitation calculated by the method, and the number of days of precipitation can also be calculated according to the precipitation condition data after the precipitation condition data are obtained.

Step S30, 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 meter system can calculate a ratio (hereinafter referred to as a first ratio to distinguish) between the values of the dust loss influencing factors of the same type of the reference power station and the evaluation power station. The dust reduction amount and the precipitation days belong to different types of dust loss influence factor values, the measuring and calculating system calculates the ratio of the dust reduction amount of the reference power station to the precipitation amount of the evaluation power station, and calculates the ratio of the precipitation days of the reference power station to the precipitation days of the evaluation power station.

The first dust loss degree can be regarded as a dust loss degree measured at a dust loss influence factor level of an area in which the reference power station is installed, and the measurement and calculation system can convert the first dust loss degree into a dust loss degree at a dust loss influence factor level of an area in which the evaluation power station is installed (hereinafter, referred to as a second dust loss degree for distinction) according to the first ratio, and use the second dust loss degree as a dust loss degree of the evaluation power station.

The specific embodiment of converting the first dust loss degree into the second dust loss degree at the dust loss influence factor level of the area where the evaluation power station is located according to the first ratio is not limited in this embodiment. For example, a first ratio obtained by dividing the dust loss influence factor value of the reference power station by the dust loss influence factor value of the same type of the evaluation power station; when the dust loss influence factor value of the type has a positive influence on the dust loss degree, that is, when the dust loss influence factor value of the type is larger, the dust loss degree is larger, the first dust loss degree may be divided by a first ratio corresponding to the dust loss influence factor value of the type; when the dust loss influence factor value of the type has a negative influence on the dust loss degree, that is, when the dust loss influence factor value of the type is larger and the dust loss degree is smaller, the first dust loss degree may be multiplied by a first ratio corresponding to the dust loss influence factor value of the type; and calculating the first ratio corresponding to each type of dust loss influence factor value according to the method and the first dust loss degree, and obtaining a result, namely a second dust loss degree.

For example, in one embodiment, when the dust loss influence factor values include precipitation amount and precipitation days, the step S30 includes:

step S301, dividing the dust reduction amount of the evaluation power station by the dust reduction amount of the reference power station to obtain a dust reduction amount 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 the precipitation days;

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

For example, the first degree of dust loss of the reference power station is expressed as η ₁ The dust reduction amount is represented as A ₁ Days of precipitation are indicated as B ₁ (ii) a Evaluating the second degree of dust loss of the plant as eta ₂ The dust reduction amount is represented as A ₂ And the number of days of precipitation is represented as B ₂ Then, the second dust loss degree may be calculated as follows:

in the embodiment, the dust loss degree of the reference power station is converted into the dust loss degree under the dust loss influence factor level of the area set by the estimated power station by means of the known dust loss degree of the built reference power station and combining the precipitation days and/or precipitation amount and other dust loss influence factor values of the reference power station and the estimated power station, the measuring and calculating method is scientific and effective, manual experience estimation is not needed, and the accuracy of dust measurement and calculation of the estimated power station is improved. And dust loss influence factor values such as precipitation days, precipitation amount and the like can be obtained through measurement and detection, and manual on-site investigation is not needed. Moreover, the dust loss measurement and calculation scheme of the embodiment is not only suitable for the established evaluation power station, but also suitable for the non-established evaluation power station, and is more beneficial to measuring and calculating the local dust loss of the site selection area of the power station in advance.

Further, based on the first embodiment, a second embodiment of the method for measuring dust loss of a photovoltaic power station is provided, in this embodiment, the step of obtaining the number of days of precipitation measured in the areas where the reference power station and the evaluation power station are located in the first time period in step S20 includes:

step S201, acquiring daily precipitation condition data measured in areas set by the reference power station and the evaluation power station respectively in a first time period;

the embodiment provides a specific implementation mode for acquiring a reference power station and evaluating the precipitation days of an area set by the power station when the dust loss influence factor value comprises the precipitation days.

The measuring and calculating system can obtain daily rainfall condition data measured in the areas set by the reference power station and the evaluation power station respectively in a first time period. For example, if the first time period includes 30 days, the data of the precipitation condition of the area set by the reference power station on each day of the 30 days is obtained, and the data of the precipitation condition of the area set by the evaluation power station on each day of the 30 days is obtained. The single-day precipitation condition data may include values corresponding to at least one data item that reflects the precipitation condition, for example, values corresponding to data items such as precipitation type, rainfall, snowfall, rainfall duration, and temperature may be included. It can be understood that the precipitation condition that different precipitation condition data reflect is different, and different precipitation conditions are different to photovoltaic module's cleaning performance, and different cleaning performance is also different to the influence of dust loss.

Step S202, for any target day in the first time period, respectively converting the precipitation condition data of the reference power station and the evaluation power station on the target day into cleaning effect values corresponding to the precipitation condition data;

for any day in the first time period (hereinafter referred to as a target day for distinction), the calculation system may convert the precipitation condition data of the reference power station on the target day into a cleaning effect value corresponding to the precipitation condition reflected by the precipitation condition data, and convert the precipitation condition data of the evaluation power station on the target day into a cleaning effect value corresponding to the precipitation condition reflected by the precipitation condition 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 poorer cleaning effect.

The manner of converting the precipitation condition data into the cleaning effect value is not limited in this embodiment. For example, in one embodiment, cleaning effect values corresponding to different precipitation condition data may be preset; for example, the rainfall type is that the corresponding cleaning effect value is larger when rainfall is larger than snowfall, the corresponding cleaning effect value is larger when the rainfall is larger, the corresponding cleaning effect value is larger when the snowfall is larger (due to the cleaning effect generated when snow is dissolved), the corresponding cleaning effect value is larger when the rainfall is shorter, the cleaning effect value is larger when the rainfall is higher when the temperature is above zero than when the temperature is below zero, and the cleaning effect value corresponding to the rainfall condition data can be set by synthesizing the values of all data items in the rainfall condition data; and during conversion, directly searching a cleaning effect value corresponding to the precipitation condition data of the target day.

Step S203, calculating a first effective precipitation day number of the reference power station in the first time period according to the daily cleaning effect value of the reference power station in the first time period, and taking the first effective precipitation day number as a precipitation day number measured in an area set by the reference power station;

after the precipitation condition data are converted, the cleaning effect value of the reference power station in the first time period every day can be obtained, and the cleaning effect value of the power station in the first time period every day can be evaluated. The measuring and calculating system can calculate effective precipitation days (hereinafter referred to as first effective precipitation days to be distinguished) of the reference power station in the first time period according to the cleaning effect value of the reference power station in the first time period, and the first effective precipitation days can be used as precipitation days measured in an area set by the reference power station.

Step S204, calculating a second effective precipitation day number of the evaluation power station in the first time period according to the daily cleaning effect value of the evaluation power station in the first time period, and taking the second effective precipitation day number as a precipitation day number measured in an area set by the evaluation power station.

The measuring and calculating system can further calculate effective precipitation days (hereinafter referred to as second effective precipitation days to be distinguished) of the evaluation power station in the first time period according to the cleaning effect value of the evaluation power station in the first time period every day, and the second effective precipitation days can be used as precipitation days measured in an area set by the evaluation power station.

It should be noted that the better the cleaning effect of the power station per day, the more effective precipitation days corresponding to the power station are calculated, but the specific calculation method for calculating the effective precipitation days according to the cleaning effect value is not limited herein. For example, when the larger the cleaning effect value is, the better the cleaning effect is, the cleaning effect values of the reference power station in the first time period per day may be accumulated to obtain a first effective precipitation day, and the cleaning effect values of the evaluation power station in the first time period per day may be accumulated to obtain a second effective precipitation day.

In this embodiment, through the rainfall condition data conversion that will refer to the power station and evaluate the power station every day to the cleaning effect value, calculate effective precipitation day according to the cleaning effect value, because effective precipitation day can more accurately represent the influence that this ground precipitation condition brought to photovoltaic module's dust loss, so through being used for calculating the dust loss degree of evaluating the power station with effective precipitation day as dust loss influence factor value, can make the dust loss degree of the evaluation power station that obtains of calculation more accurate, also further improved the degree of accuracy that the dust loss was calculated.

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

step S2021, determining a comparison time starting point and a comparison time ending point according to the precipitation condition data of the reference power station on the target day;

in the present embodiment, a method for converting precipitation condition data of a reference power station on a target day into a corresponding cleaning effect value is proposed.

Specifically, in the embodiment, considering that the time periods of the rainfall conditions corresponding to different rainfall condition data for exerting the cleaning effect on the photovoltaic module are different, for example, the time period of exerting the cleaning effect during rainfall is the rainfall time period, and the time period of exerting the cleaning effect during snowfall is the snowing time period, the measuring and calculating system may determine the comparison time starting point and the comparison time end point according to the rainfall condition data of the reference power station on the target day. Before the precipitation condition corresponding to the precipitation condition data of the target day starts to exert the cleaning effect on the photovoltaic module, the precipitation condition corresponding to the precipitation condition data of the target day is compared with the time end point, and the cleaning effect on the photovoltaic module is finished. In another embodiment, the calculation system may directly use the end-of-day detection time point of the target day as the comparison time end point and the end-of-day detection time point of the day before the target day as the comparison time start point, without considering precipitation situation data of the target day. The end-of-day detection point is a time point at which the amount of power generated by the module on the day is detected every day, and may be, for example, a time point at 7 pm as an end-of-day detection point at which the amount of power generated by the module on the day is detected, for example, an integrated amount of power generated from 6 am to 7 pm on the day.

Step S2022, acquiring a first difference value between the measured power generation amounts of the dry component and the comparison component in the reference power station detected at the comparison time starting point;

the estimation system may acquire a difference (hereinafter referred to as a first difference) between the measured power generation amounts of the clean component and the reference component in the reference power station detected at the comparison time start point. The measured power generation amount may be the current-day component power generation amount detected at the comparison time start point.

The first difference reflects the difference of the power generation capacities of the cleaning component and the comparison component before the precipitation condition of the target day plays a cleaning role, and also reflects the dust loss before the precipitation condition of the target day plays a cleaning role.

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

the measurement and calculation system may acquire a difference (hereinafter referred to as a second difference) between the measured power generation amounts of the clean component and the comparison component detected at the comparison time end. The measured power generation amount may be a component power generation amount of the same day detected at the comparison time end.

The second difference reflects the difference of the power generation capacities of the clean component and the comparison component after the precipitation condition of the target day plays a cleaning role, and also reflects the dust loss after the precipitation condition of the target day plays a cleaning role.

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

The estimation system may calculate a difference between the first difference and the second difference (hereinafter referred to as a third difference for distinction). It can be understood that, since the first difference reflects the dust loss before the precipitation condition of the target day exerts the cleaning effect, and the second difference reflects the dust loss after the precipitation condition of the target day exerts the cleaning effect, the difference between the first difference and the second difference (i.e. the third difference) reflects the cleaning effect exerted by the precipitation condition of the target day, so that the calculating system may 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 an embodiment, the step S2021 includes:

a step S20211, when the precipitation condition data of the reference power station on the target day indicates that there is no snow on the target day or the average temperature is above zero, using a last detection time point of a day before the target day as a comparison time starting point, and using a last detection time point of the target day as a comparison time ending point, wherein the measured power generation amounts of the clean component and the comparison component are the power generation amounts of the components on the same day detected at the last detection time point of the day in the first time period;

in the present embodiment, a method for determining a comparison time starting point and a comparison time ending point from precipitation situation data of a target day is proposed.

Specifically, when the data of the precipitation condition of the reference power station on the target day indicates that the target day has no snow or has an average temperature of zero, the detection time point at the end of the day before the target day may be used as the starting point of the comparison time, and the detection time point at the end of the day before the target day may be used as the end point of the comparison time.

Step S20212, when the precipitation condition data of the reference power station on the target day indicates that snow falls on the target day and the average temperature is below zero, using a last detection time point of a day before the target day as a comparison time starting point, and using a last detection time point of a snow-melting day corresponding to the target day as a comparison time ending point.

When the rainfall condition data of the reference power station on the target day indicates that snow falls on the target day and the average temperature is below zero, it indicates that snow may be accumulated on the target day, and the cleaning effect generated by the snow is reflected only after the snow is melted. The snow melting day corresponding to the target day, namely the snow melting finishing day of the snow after the snow falls on the target day, can be determined according to the precipitation condition data of days after the target day, namely, the precipitation condition data of days after the target day indicates that the snow does not exist any more, and the day is the snow melting day corresponding to the target day.

Further, based on the second embodiment, a third embodiment of the method for measuring dust loss of a photovoltaic power station is provided, in this embodiment, the step of converting the precipitation condition data of the evaluation power station on the target day into the cleaning effect value corresponding to the precipitation condition data in the step S202 includes:

s2025, determining a reference day from preset sample days, where a precipitation condition of a first time window corresponding to the reference day is consistent with a precipitation condition of a second time window corresponding to the target day, the first time window is a time period formed by the reference day and a preset number of days before the reference day, and the second time window is a time period formed by the target day and the preset number of days before the target day;

in this embodiment, since the evaluation power station is being built or has not yet started to be built, and the condition for setting the comparison component and the clean component is not yet provided, in this embodiment, it is proposed that the cleaning effect values corresponding to a plurality of sample days of different precipitation conditions are measured in advance, and the cleaning effect values corresponding to the sample days in accordance with the precipitation conditions of the target days in each sample day are compared with the precipitation conditions of the sample days, so as to serve as the cleaning effect values of the target days, and in this way, the more accurate cleaning effect values of the evaluation power station on the target days are indirectly obtained.

In a specific embodiment, the cleaning effect values of the reference power station on each sample day are calculated in a cleaning effect value calculation manner corresponding to steps S2021 to S2024 in the second embodiment by collecting precipitation condition data of an area set by the reference power station in advance and detecting the power generation amounts of the clean component and the comparison component in the reference power station, where the precipitation conditions reflected by the precipitation condition data on each sample day are different. The cleaning effect values of the various precipitation conditions on the sample days can be measured in a mode of prolonging the test duration, and the various precipitation conditions can be simulated in a mode of artificial rainfall or snowfall so as to obtain the cleaning effect values corresponding to the various precipitation conditions on the sample days.

In one embodiment, the cleaning effect caused by precipitation on the current day of the target day is also related to precipitation on days prior to the target day; for example, when the target day and days before the target day are rained, the raining days before the target day can clean dust on the surface of the photovoltaic module, so that the cleaning effect is not obvious even if heavy rain or even heavy rain occurs on the same day as the target day; for another example, the target day is a continuous sunny day before, and if there is rainfall on the day of the target day, the cleaning effect caused by the rainfall on the day of the target day will be obvious. In this regard, a time period made up of the target day and a predetermined number of days before the target day may be defined as one time window (hereinafter, referred to as a second time window for illustrative purposes), a time period made up of the sample day and a predetermined number of days before the sample day may be defined as one time window (hereinafter, referred to as a third time window for illustrative purposes), and if the precipitation in the third time window of one sample day matches the precipitation in the second time window of the target day, the sample day may be defined as a reference day. The preset number of days can be set according to needs, and is not limited herein, for example, 4 days, and then one window includes 5 days; when the preset number of days is set to be more, the estimated cleaning effect value of the evaluation power station on the target day is more accurate. The third time window corresponding to the reference day is hereinafter referred to as the first time window to distinguish it from the third time windows of the other sample days.

S2026, taking a preset cleaning effect value corresponding to the precipitation condition of the first time window as the cleaning effect value of the evaluation power station on the target day.

The measuring and calculating system takes a preset cleaning effect value corresponding to the precipitation condition of the first time window as a cleaning effect value of the evaluation power station on the target day.

Further, in an embodiment, the step S2025 includes:

step S20251, comparing the precipitation condition data of the same sort day in the second time window and a third time window corresponding to the target sample day for any one target sample day in preset sample days, where the third time window is a time period formed by the target sample day and the preset number of days before the target sample day;

in this embodiment, a way of determining whether the precipitation situation of the third time window of the sample day pair coincides with 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 and calculation system may compare the precipitation condition data of the same sort day in the second time window and the third time window corresponding to the target sample day. It can be understood that the number of days included in the second time window and the number of days included in the third time window are the same, the days included in the second time window are sorted according to the time sequence, the days included in the third time window are also sorted according to the time sequence, two days with the same sequence in the two time windows are the same day, that is, the precipitation condition data of the first day in the second time window is compared with the precipitation condition data of the first day in the third time window, 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 condition data of the same sort day in the second time window and the third time window are all correspondingly compared and consistent, taking the target sample day as a reference day.

If the precipitation condition data of the same sorting day in the second time window and the third time window are correspondingly compared and consistent, the precipitation condition of the third time window can be determined to be consistent with that of the second time window, and at this time, the target sample day can be used as a reference day. That is, if the comparison of the data of the precipitation condition of the first day in the second time window is consistent with the data of the precipitation condition of the first day in the third time window, the comparison of the data of the precipitation condition of the second day in the second time window is consistent with the data of the precipitation condition of the second day in the third time window, and so on, the comparison of the data of the precipitation condition of the nth day in the second time window is consistent with the data of the precipitation condition of the nth day in the third time window, it can be determined that the precipitation condition of the third time window is consistent with the precipitation condition of the second time window. In this embodiment, the determination condition for comparing the precipitation condition data of the same sorting day with each other is not limited. For example, in an embodiment, when the precipitation condition data includes values of a plurality of data items, a value section to which the values of the data items belong may be determined, and a plurality of value sections may be divided in advance for a value range of the data items, for example, the rainfall may be divided into four sections to respectively correspond to light rain, medium rain, heavy rain, and heavy rain; determining whether the values of the same data items in the precipitation condition data sorted on the same day are in the same value interval, and if the values of the same data items in the precipitation condition data sorted on the same day are in the same value interval, determining that the precipitation condition data sorted on the same day are consistent in comparison.

Further, in an embodiment, as shown in fig. 3, the measurement and calculation system may be disposed in a cloud platform, detect the dust reduction amount of the reference power station and the evaluation power station by a dust detection device, clean the component in the reference power station by a cleaning device, detect the power generation amount of the clean component and the comparison component by a power generation amount detection device, obtain the dust reduction amount and the weather information of the reference power station and the evaluation power station by the cloud platform, and obtain the power generation amount data of the clean component and the comparison component of the reference power station, thereby calculating the dust loss degree of the evaluation power station based on the obtained data.

In addition, an embodiment of the present invention further provides a photovoltaic power station dust loss measurement and calculation device, and with reference to fig. 4, the photovoltaic power station dust loss measurement and calculation device includes:

a first obtaining module 10, configured to obtain a first degree of dust loss of an established reference power station;

a second obtaining module 20, configured to obtain dust loss influence factor values measured in the areas set in the reference power station and the evaluation power station respectively in the first time period, where the dust loss influence factor values include a dust precipitation amount and/or a precipitation number of days;

a calculating module 30, configured to calculate a first ratio between the dust loss influence factor values of the reference power station and the evaluation power station of the same type, convert the first dust loss degree into a second dust loss degree at a dust loss influence factor level of an area where the evaluation power station is located according to the first ratio, and use the second dust loss degree as the dust loss degree of the evaluation power station.

Further, the first obtaining module 10 is further configured to:

Further, photovoltaic power plant dust loss measurement and calculation device still includes:

and the control module is used for controlling a cleaning device to clean the clean component at each preset time point in the second time period.

Further, when the dust loss influence factor value includes the number of days of precipitation, the second obtaining module 20 is further configured to:

Further, the second obtaining module 20 is further configured to:

Further, the precipitation condition data includes values of a plurality of data items, and the second obtaining module 20 is further configured to:

Further, when the dust loss influence factor values include a dust amount and a number of days of precipitation, the calculation module 30 is further configured to:

The expansion content of the specific implementation mode of the photovoltaic power station dust loss measuring and calculating device is basically the same as that of each embodiment of the photovoltaic power station dust loss measuring and calculating method, and the details are not repeated here.

In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the storage medium stores a photovoltaic power station dust loss measurement and calculation program, and when the photovoltaic power station dust loss measurement and calculation program is executed by a processor, the steps of the photovoltaic power station dust loss measurement and calculation method are implemented as follows.

The embodiments of the photovoltaic power station dust loss measurement and calculation device and the computer-readable storage medium of the present invention can refer to the embodiments of the photovoltaic power station dust loss measurement and calculation method of the present invention, and are not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. The photovoltaic power station dust loss measurement and calculation method is characterized by comprising the following steps:

acquiring a first dust loss degree of the built reference power station;

2. The photovoltaic power plant dust loss estimation method of claim 1 wherein the step of obtaining a first degree of dust loss for the established reference plant comprises:

3. The photovoltaic power plant dust loss estimation method according to claim 2, characterized by further comprising:

4. The method for estimating dust loss from photovoltaic power plants according to claim 1, wherein, when the values of the dust loss influencing factors include days of precipitation, the step of obtaining the days of precipitation measured in the areas set by the reference and evaluation power plants respectively during the first period of time comprises:

5. The photovoltaic power plant dust loss estimation method of claim 4, wherein the step of converting the precipitation condition data of the reference power plant on the target day into a cleaning effect value corresponding to the precipitation condition data comprises:

6. The photovoltaic power plant dust loss estimation method of claim 5 wherein the step of determining a comparison time start point and a comparison time end point from the precipitation situation data of the reference power plant on the target day comprises:

7. The photovoltaic power plant dust loss estimation method of claim 4, wherein the step of converting the precipitation condition data of the evaluation power plant on the target day into a cleaning effect value corresponding to the precipitation condition data comprises:

8. The method for calculating dust loss in a photovoltaic power plant of claim 7, wherein the precipitation condition data comprises values of a plurality of data items, and the step of determining the reference day from the preset sample days comprises:

9. The photovoltaic power plant dust loss estimation method according to any one of claims 1 to 8, characterized in that when the dust loss influence factor values include precipitation amount and precipitation days, the step of calculating a first ratio between the dust loss influence factor values of the same type of the reference power plant and the evaluation power plant, converting the first dust loss degree into a second dust loss degree at a dust loss influence factor level of an area where the evaluation power plant is located based on the first ratio, and using the second dust loss degree as the dust loss degree of the evaluation power plant comprises:

10. The photovoltaic power station dust loss measuring and calculating device is characterized by comprising:

11. A photovoltaic power plant dust loss measurement and calculation apparatus, characterized by comprising: a memory, a processor and a photovoltaic power plant dust loss estimation program stored on the memory and executable on the processor, the photovoltaic power plant dust loss estimation program when executed by the processor implementing the steps of the photovoltaic power plant dust loss estimation method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a photovoltaic power plant dust loss estimation program which, when executed by a processor, implements the steps of the photovoltaic power plant dust loss estimation method according to any one of claims 1 to 9.