Early warning method and system for dust-covered power generation loss of photovoltaic power station assembly

Abstract

The invention relates to a photovoltaic power station assembly dust-covering power generation loss early warning method and system. The method comprises the steps of determining current dust deposition information of a photovoltaic module of a photovoltaic power station according to current operation information; according to the historical environment dust concentration, the historical weather information and the weather forecast information, the future environment dust concentration of the environment where the photovoltaic power station is located is determined; determining future dust deposition information of the photovoltaic module according to the future environmental dust concentration and the current dust deposition information; determining power generation loss information of the photovoltaic power station according to the future dust deposition information; and according to the power generation loss information, carrying out photovoltaic power station assembly dust covering power generation loss early warning. According to the method, the dust-covering power generation loss early warning of the photovoltaic power station assembly is realized, so that the normal work of the photovoltaic power station is prevented from being influenced by dust covering.

Description

Technical Field

[0001] This application relates to the field of power technologies, and particularly to a method, a system, a computer device, a computer-readable storage medium, and a computer program product for early warning of power generation loss caused by dust covering components in a photovoltaic power station. Background Art

[0002] When dust covers the surface of a photovoltaic panel, it not only reduces the incident amount of sunlight on the photovoltaic panel, but also has a heat absorption effect, resulting in an increase in the operating temperature of the photovoltaic module and a decrease in the photoelectric conversion efficiency. Based on this, how to conduct early warning of power generation loss caused by dust covering components in a photovoltaic power station to evaluate the impact of dust covering components on the power output of the photovoltaic power station, and further avoid affecting the power generation efficiency and economic benefits of the photovoltaic power station due to dust covering, is a technical problem that needs to be solved. Summary of the Invention

[0003] Based on this, in view of the above technical problems, it is necessary to provide a method and a system for early warning of power generation loss caused by dust covering components in a photovoltaic power station to improve the accuracy of early warning of power generation loss caused by dust covering components in a photovoltaic power station.

[0004] In a first aspect, this application provides a method for early warning of power generation loss caused by dust covering components in a photovoltaic power station, including:

[0005] Obtaining the current operation information of the photovoltaic power station; and determining the current dust deposition information of the photovoltaic components in the photovoltaic power station at the current time according to the current operation information;

[0006] Obtaining the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at a historical time, and meteorological forecast information at a future time;

[0007] Determining the future environmental dust concentration of the environment where the photovoltaic power station is located at a future time according to the historical environmental dust concentration, historical meteorological information, and meteorological forecast information;

[0008] Determining the future dust deposition information of the photovoltaic components at a future time according to the future environmental dust concentration and the current dust deposition information;

[0009] Determining the power generation loss information of the photovoltaic power station at a future time according to the future dust deposition information;

[0010] Conducting early warning of power generation loss caused by dust covering components in the photovoltaic power station according to the power generation loss information.

[0011] In one of the embodiments, determining the future dust deposition information of the photovoltaic components at a future time according to the future environmental dust concentration and the current dust deposition information includes:

[0012] Determining the increased dust deposition information of the photovoltaic components from the current time to the future time according to the future environmental dust concentration and the meteorological forecast information;

[0013] Determine the future dust deposition information of the photovoltaic module at a future time according to the current dust deposition information and the dust deposition increase information.

[0014] In one embodiment, determine the dust deposition increase information of the photovoltaic module from the current time to the future time according to the future environmental dust concentration and the weather forecast information, including:

[0015] Determine the dust deposition rate of the photovoltaic module according to the future wind speed information, the future humidity information and the future environmental dust concentration in the weather forecast information;

[0016] Determine the dust deposition increase information of the photovoltaic module from the current time to the future time according to the dust deposition rate.

[0017] In one embodiment, determine the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information, including:

[0018] Obtain the sample current operation information of the sample module; the sample module is a module of the same category as the photovoltaic modules of the photovoltaic power station without dust deposition;

[0019] Correct the sample current operation information according to the sample operation years and the sample annual attenuation rate corresponding to the sample module;

[0020] Correct the current operation information according to the operation years and the annual attenuation rate corresponding to the photovoltaic modules of the photovoltaic power station;

[0021] Determine the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the corrected sample current operation information and the corrected current operation information.

[0022] In one embodiment, determine the power generation loss information of the photovoltaic power station at a future time according to the future dust deposition information, including:

[0023] Determine the first power generation information of the photovoltaic power station at the future time according to the future irradiance and the future environmental temperature in the weather forecast information; and,

[0024] Determine the second power generation information of the photovoltaic power station at the future time according to the future dust deposition information, the future irradiance and the future environmental temperature;

[0025] Wherein, the first power generation information is the power generation information of the photovoltaic power station without dust deposition, and the second power generation information is the power generation information of the photovoltaic power station with dust deposition;

[0026] Determine the power generation loss information of the photovoltaic power station at the future time according to the first power generation information and the second power generation information.

[0027] In one embodiment, the power generation loss information includes the power generation power loss; according to the power generation loss information, a dust - covered power generation loss warning for the photovoltaic power station components is performed, including:

[0028] Determine the ratio of the power generation power loss to the rated power of the photovoltaic power station as the first ratio; and determine the ratio of the future dust deposition information to the preset dust deposition benchmark as the second ratio;

[0029] Fuse the first ratio and the second ratio to obtain an evaluation result of the dust - covered impact on the photovoltaic power station at a future time;

[0030] According to the evaluation result of the dust - covered impact, determine the corresponding dust - covered warning result.

[0031] In one embodiment, according to the historical environmental dust concentration, historical meteorological information, and meteorological forecast information, determine the future environmental dust concentration of the environment where the photovoltaic power station is located at a future time, including:

[0032] Determine the similarity between the historical meteorological information and the meteorological forecast information;

[0033] According to the similarity and the historical environmental dust concentration, determine the future environmental dust concentration of the environment where the photovoltaic power station is located at a future time.

[0034] In a second aspect, the present application also provides a dust - covered power generation loss warning system for photovoltaic power station components, including:

[0035] A first determination module, configured to obtain the current operation information of the photovoltaic power station; and determine the current dust deposition information of the photovoltaic components of the photovoltaic power station at the current time according to the current operation information;

[0036] A second determination module, configured to obtain the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at a historical time, and meteorological forecast information at a future time; determine the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the historical environmental dust concentration, the historical meteorological information, and the meteorological forecast information; determine the future dust deposition information of the photovoltaic components at the future time according to the future environmental dust concentration and the current dust deposition information;

[0037] A third determination module, configured to determine the power generation loss information of the photovoltaic power station at the future time according to the future dust deposition information;

[0038] A warning module, configured to perform a dust - covered power generation loss warning for the photovoltaic power station components according to the power generation loss information.

[0039] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the foregoing method for warning of power generation loss due to dust covering of photovoltaic power station components are implemented.

[0040] In a fourth aspect, the present application further provides a computer program product, including a computer program which, when executed by a processor, implements the steps of the foregoing method for warning of power generation loss due to dust covering of photovoltaic power station components.

[0041] For the foregoing method, system, computer device, computer-readable storage medium, and computer program product for warning of power generation loss due to dust covering of photovoltaic power station components, the above technical solution is based on the changes in time of "history - current - future", and comprehensively considers information such as the environmental dust concentration and meteorology of the environment where the photovoltaic power station is located to determine the future dust deposition information, so as to obtain the power generation loss information caused by dust covering of the photovoltaic power station in the future. Furthermore, according to the power generation loss information, early warning of power generation loss due to dust covering of photovoltaic power station components can be carried out. This realizes the early warning of power generation loss due to dust covering of photovoltaic power station components to avoid affecting the normal operation of the photovoltaic power station due to dust covering. At the same time, by determining the future environmental dust concentration of the environment where the photovoltaic power station is located from aspects such as historical environmental dust concentration, historical meteorological information, and meteorological forecast information, and determining the future dust deposition information based on the future environmental dust concentration and the current dust deposition information, this enables more accurate power generation loss information to be determined according to the future dust deposition information, thereby contributing to more accurate early warning of power generation loss due to dust covering of photovoltaic power station components. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required to be used in the description of the embodiments of the present application or related technologies. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0043] Figure 1 It is a first flowchart of the method for warning of power generation loss due to dust covering of photovoltaic power station components in one embodiment;

[0044] Figure 2 It is a second flowchart of the method for warning of power generation loss due to dust covering of photovoltaic power station components in one embodiment;

[0045] Figure 3 It is a third flowchart of the method for warning of power generation loss due to dust covering of photovoltaic power station components in one embodiment;

[0046] Figure 4Schematic diagram of the logical principle of the dust - covered power generation loss warning method for photovoltaic power station components in an embodiment;

[0047] Figure 5 Data interaction diagram of the dust - covered power generation loss warning system for photovoltaic power station components in an embodiment;

[0048] Figure 6 System architecture diagram of the dust - covered power generation loss warning system for photovoltaic power station components in an embodiment;

[0049] Figure 7 Structural block diagram of the dust - covered power generation loss warning system for photovoltaic power station components in an embodiment;

[0050] Figure 8 Internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0051] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. Unless otherwise specified, the plurality referred to herein may include two or more than two.

[0052] A photovoltaic string is formed by connecting several photovoltaic components in series, which is the smallest unit with the required DC output voltage. The dust accumulation on photovoltaic components has become one of the core challenges restricting the economic, efficient and stable operation of photovoltaic power stations. Especially in areas with arid and less - rainy weather and frequent sand - dust weather, the dust accumulation problem in photovoltaic power stations is particularly prominent. The dust not only covers the surface of the photovoltaic panel, reducing the incident amount of sunlight, but also increases the working temperature of the components due to its heat absorption effect, further reducing the photoelectric conversion efficiency. This series of chain reactions results in the actual output power of the photovoltaic components being much lower than their rated values, seriously weakening the effective utilization of solar radiation by the photovoltaic power station, causing a significant deviation between the actual power generation capacity of the power station and the expected target. This not only affects the overall power generation efficiency and economic benefits of the photovoltaic power station, making the investment in the power station lower than expected, but also may pose a potential threat to the stable operation of the power system. In extreme cases, when the dust accumulation is severe, the output of the photovoltaic power station drops significantly, which may exacerbate the contradiction between power supply and demand and have an adverse impact on the dispatching and operation safety of the power grid.

[0053] However, at present, photovoltaic power stations lack effective means for dust accumulation assessment and prediction, making it difficult to accurately judge the development trend of dust accumulation in the future for a period of time and evaluate the specific impact of dust coverage on the performance of photovoltaic power stations. Therefore, it is urgent to deeply study the early warning method for power generation loss caused by component dust coverage in photovoltaic power stations and develop an early warning system for power generation loss caused by component dust coverage in photovoltaic power stations to address the problem of deviation in the output of photovoltaic power stations caused by dust coverage, early evaluate the dust coverage situation and its impact on photovoltaic power stations in the future, and reasonably formulate the cleaning plan for photovoltaic panels to improve the economy and reliability of the operation of photovoltaic power stations.

[0054] At present, most photovoltaic power stations have not configured a pre-evaluation system for the impact of component dust coverage, unable to evaluate the dust coverage situation of photovoltaic power stations and difficult to predict the impact of dust coverage, mainly reflected in:

[0055] 1) Existing photovoltaic power stations lack a quantitative evaluation method for the dust deposition density of photovoltaic components;

[0056] 2) Existing photovoltaic power stations lack a correction method for the photovoltaic output characteristics under the condition of dust coverage;

[0057] 3) Existing photovoltaic power stations lack a prediction method for the environmental dust concentration at future times;

[0058] 4) Existing photovoltaic power stations lack a prediction method for the dust deposition density at future times;

[0059] 5) Existing photovoltaic power stations lack a prediction method for the output power of photovoltaic power stations considering dust coverage;

[0060] 6) Existing photovoltaic power stations lack an evaluation method for the impact of photovoltaic component dust coverage;

[0061] Based on the above analysis, this application provides an early warning method for power generation loss caused by component dust coverage in a photovoltaic power station. This method determines the current dust deposition information of the photovoltaic components of the photovoltaic power station at the current time, and determines the future environmental dust concentration of the environment where the photovoltaic power station is located at a future time according to the historical environmental dust concentration, historical meteorological information, and meteorological forecast information. According to the future environmental dust concentration and the current dust deposition information, the future dust deposition information of the photovoltaic components at a future time is determined, so as to determine the power generation loss information of the photovoltaic power station at a future time, and then conduct an early warning for the power generation loss caused by component dust coverage in the photovoltaic power station.

[0062] The technical solution provided by this application will be further described below by way of examples:

[0063] In one embodiment, as Figure 1As shown, a method for warning of power generation loss due to dust covering of photovoltaic power station components is provided. In this embodiment, the method is exemplified by being applied to a server. It can be understood that the method can also be applied to a system including a terminal and a server, and the terminal can include various photovoltaic components of a photovoltaic power station. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. Of course, the above method can also be applied to a dedicated warning system for power generation loss due to dust covering of photovoltaic power station components, or a photovoltaic power station management platform, etc. In this embodiment, the method includes the following steps S101 to S106:

[0064] Step S101: The server obtains the current operation information of the photovoltaic power station; and determines the current dust deposition information of the photovoltaic components of the photovoltaic power station at the current time according to the current operation information.

[0065] Among them, a photovoltaic power station can be a power station that directly converts solar energy into electrical energy based on solar photovoltaic power generation technology. Exemplarily, a photovoltaic power station can include devices such as photovoltaic panels and transformers.

[0066] Among them, a photovoltaic component can be a component in a photovoltaic power station that converts solar energy into electrical energy. Exemplarily, a photovoltaic component can include a photovoltaic panel. In some embodiments, the number of photovoltaic components can be one or more, and multiple photovoltaic components can form a photovoltaic string.

[0067] Among them, the current operation information can be information characterizing the operation situation of the photovoltaic power station at the current time. Exemplarily, the current operation information can include the real-time power of the photovoltaic components in the photovoltaic power station. In some embodiments, the current operation information of the photovoltaic power station can be obtained from the operation management system or platform of the photovoltaic power station, etc. Of course, the current operation information can also be directly obtained based on the preset data acquisition devices in the photovoltaic power station.

[0068] Among them, the current time can be a specific time point at present, such as 10:00 am, or a time period at present, such as from 10:00 am to 11:00 am.

[0069] Among them, the current dust deposition information can reflect the dust deposition situation of the photovoltaic components at the current time. Exemplarily, the current dust deposition information can include the dust thickness, dust coverage area, and dust deposition density deposited on the photovoltaic components at the current time, etc.

[0070] In some embodiments, the server can obtain the current dust deposition information of the photovoltaic components at the current time by analyzing the current operation information. Exemplarily, by setting a control group, such as a photovoltaic component without dust covering, the operation information of the photovoltaic component without dust covering is used as a control, so as to solve the current dust deposition information.

[0071] In some embodiments, the server can pre - establish a table of the correspondence between the operation information and the dust deposition information of the photovoltaic power station, so that according to the current operation information, the corresponding dust deposition information, that is, the current dust deposition information, can be obtained by looking up the table.

[0072] Step S102: The server obtains the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at a historical time, and meteorological forecast information at a future time.

[0073] Among them, the historical time can be the time before the current time relative to the current time. In some embodiments, similar to the description of the current time above, the historical time can also be a time point or a time period.

[0074] Among them, the historical environmental dust concentration can be the dust concentration information characterizing the environment where the photovoltaic power station is located at the historical time.

[0075] Among them, the meteorological forecast information can be the meteorological information characterizing the environment where the photovoltaic power station is located at a future time. Exemplarily, the meteorological forecast information can involve aspects such as irradiance, temperature, humidity, wind speed, etc.

[0076] In some embodiments, for the understanding of the historical meteorological information, reference can be made to the meteorological forecast information, and the historical meteorological information can also involve aspects such as irradiance, temperature, humidity, wind speed, etc.

[0077] Exemplarily, the historical environmental dust concentration and historical meteorological information can be obtained by statistically analyzing the situation of the environment where the photovoltaic power station is located. The meteorological forecast information can be obtained based on public or private weather - related data collection and release platforms or websites, etc.

[0078] Step S103: The server determines the future environmental dust concentration of the environment where the photovoltaic power station is located at a future time according to the historical environmental dust concentration, historical meteorological information, and meteorological forecast information.

[0079] Among them, the future time can be the time after the current time relative to the current time. In some embodiments, similar to the description of the current time above, the future time can also be a time point or a time period.

[0080] Among them, the future environmental dust concentration can be relative to the historical environmental dust concentration.

[0081] In some embodiments, the server may determine the similarity between historical meteorological information and meteorological forecast information, and determine the future environmental dust concentration based on the similarity and the historical environmental dust concentration. For example, a series of historical environmental dust concentrations and their corresponding historical meteorological information may be taken. The higher the similarity, the greater its weight. Then, the future environmental dust concentration may be determined based on the weighted average of a series of historical environmental dust concentrations.

[0082] Step S104: The server determines the future dust deposition information of the photovoltaic module at a future time based on the future environmental dust concentration and the current dust deposition information.

[0083] Among them, the future dust deposition information may be relative to the current dust deposition information.

[0084] In some embodiments, the server may also process the future environmental dust concentration and the current dust deposition information based on a specific algorithm. For example, the server calculates the newly added dust deposition information of the photovoltaic module at a future time according to the future environmental dust concentration, and integrates the newly added dust deposition information with the current dust deposition information to obtain the future dust deposition information.

[0085] Step S105: The server determines the power generation loss information of the photovoltaic power station at a future time based on the future dust deposition information.

[0086] Among them, the power generation loss information may be information related to the power generation loss caused by dust covering of the photovoltaic power station at a future time. For example, the power generation loss information may involve at least one of aspects such as the loss of power generation power and the loss of power generation electricity.

[0087] In some embodiments, the server may determine the future power generation information of the photovoltaic power station at a future time according to the future dust deposition information, and determine the power generation loss information based on the rated power generation information and the future power generation information of the photovoltaic power station.

[0088] Step S106: Perform a warning on the power generation loss caused by dust covering of the photovoltaic power station components according to the power generation loss information.

[0089] In some embodiments, the server may classify the power generation loss information and issue different levels of warnings according to the different levels it belongs to. For example, warnings from level one to level three, or blue warning, orange warning, red warning, etc.

[0090] Based on the changes in time of "history - current - future", the above technical solution synthesizes information such as the environmental dust concentration and meteorology of the environment where the photovoltaic power station is located to determine the future dust deposition information, thereby obtaining the power generation loss information of the photovoltaic power station caused by dust deposition in the future. Furthermore, based on the power generation loss information, early warning of power generation loss due to dust deposition on the components of the photovoltaic power station can be carried out. This realizes the early warning of power generation loss due to dust deposition on the components of the photovoltaic power station to avoid affecting the normal operation of the photovoltaic power station due to dust deposition. At the same time, by determining the future environmental dust concentration of the environment where the photovoltaic power station is located from aspects such as historical environmental dust concentration, historical meteorological information, and meteorological forecast information, and determining the future dust deposition information based on the future environmental dust concentration and current dust deposition information, this enables more accurate power generation loss information to be determined based on the future dust deposition information, thus contributing to more accurate early warning of power generation loss due to dust deposition on the components of the photovoltaic power station.

[0091] In one embodiment, as Figure 2 shown, "determining the future dust deposition information of the photovoltaic module at a future time based on the future environmental dust concentration and current dust deposition information" in the foregoing embodiment may include steps S201 to S202:

[0092] Step S201: The server determines the increased dust deposition information of the photovoltaic module from the current time to the future time based on the future environmental dust concentration and meteorological forecast information.

[0093] In some embodiments, the server may determine the increased dust deposition information of the photovoltaic module from the current time to the future time through a preset definite integral algorithm based on the future environmental dust concentration and meteorological forecast information.

[0094] Step S202: The server determines the future dust deposition information of the photovoltaic module at a future time based on the current dust deposition information and the increased dust deposition information.

[0095] Exemplarily, the server may fuse the current dust deposition information and the increased dust deposition information to obtain the future dust deposition information. In some embodiments, when the meteorological forecast information is updated, the increased dust deposition information may be updated or corrected, thereby updating or correcting the future dust deposition information.

[0096] The server estimates the increased dust deposition information of the photovoltaic module from the current time to the future time through the future environmental dust concentration and meteorological forecast information, and synthesizes the current dust deposition information and the increased dust deposition information, thereby realizing the calculation of the future dust deposition information of the photovoltaic module at a future time.

[0097] In one embodiment, "determining the increased dust deposition information of the photovoltaic module from the current time to the future time according to the future environmental dust concentration and meteorological forecast information" in the foregoing embodiment may include: The server determines the dust deposition rate of the photovoltaic module according to the future wind speed information, future humidity information, and future environmental dust concentration in the meteorological forecast information; according to the dust deposition rate, determines the increased dust deposition information of the photovoltaic module from the current time to the future time.

[0098] Wherein, the dust deposition rate may be used to characterize the newly added dust deposition of the photovoltaic module per unit time, and the unit time may be the corresponding unit time within the time range from the current time to the future time.

[0099] In some embodiments, the dust deposition rate may vary in real time with the change of the meteorological forecast information.

[0100] In some embodiments, the server may integrate the dust deposition rate corresponding to the time range from the current time to the future time to obtain the increased dust deposition information.

[0101] Through the above technical solution, the dust deposition rate of the photovoltaic module can be determined according to the future wind speed information, future humidity information, and future environmental dust concentration in the meteorological forecast information; according to the dust deposition rate, the determination of the increased dust deposition information is realized.

[0102] In one embodiment, "determining the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information" in the foregoing embodiment may include: The server obtains the current operation information of the sample module; the sample module is a component of the same category as the photovoltaic modules of the photovoltaic power station (i.e., the comparison module) without dust covering; corrects the current operation information of the sample according to the sample operation years and sample annual attenuation rate corresponding to the sample module; corrects the current operation information according to the operation years and annual attenuation rate corresponding to the photovoltaic modules of the photovoltaic power station; determines the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the corrected current operation information of the sample and the corrected current operation information.

[0103] Wherein, the annual attenuation rate may be a concept corresponding to the operation years, which is based on the service life of the photovoltaic module and characterizes the attenuation of the photovoltaic module in one year, such as the attenuation of the power generation power. The sample annual attenuation rate is the same in principle and will not be elaborated here.

[0104] In some embodiments, the sample module may be cleaned in advance to ensure that the sample module has no dust covering. The sample module may be one or more components, and the sample module may be used as a comparison for the photovoltaic modules of the photovoltaic power station. Therefore, except for the presence or absence of dust covering, the other conditions of the sample module and the photovoltaic modules of the photovoltaic power station may be the same.

[0105] The above technical solution sets the sample component based on controlling the variable of "presence or absence of dust deposition". By comparing the current operating information of the sample component with the current operating information of the comparison component in the photovoltaic power station, the determination of the current dust deposition information is realized. At the same time, taking the operation years and annual attenuation rate as consideration factors, the current operating information of the sample and the current operating information are corrected, so as to obtain more accurate current dust deposition information.

[0106] In one embodiment, the "determining the power generation loss information of the photovoltaic power station at a future time according to the future dust deposition information" in the foregoing embodiment may include: the server determines the first power generation information of the photovoltaic power station at a future time according to the future irradiance and future ambient temperature in the weather forecast information; and, according to the future dust deposition information, future irradiance and future ambient temperature, determining the second power generation information of the photovoltaic power station at a future time; wherein, the first power generation information is the power generation information of the photovoltaic power station without dust deposition, and the second power generation information is the power generation information of the photovoltaic power station with dust deposition; according to the first power generation information and the second power generation information, determining the power generation loss information of the photovoltaic power station at a future time.

[0107] In some embodiments, the first power generation information may be the theoretical power generation information or rated power generation information of the photovoltaic power station under corresponding conditions such as future irradiance and future ambient temperature. Correspondingly, the second power generation information may be the actual power generation information of the photovoltaic power station under corresponding conditions such as future irradiance, future ambient temperature and future dust deposition information.

[0108] The above technical solution is based on controlling the variable of "presence or absence of dust deposition" to determine two power generation information of the photovoltaic power station at a future time, namely the first power generation information and the second power generation information. Through the first power generation information and the second power generation information, the determination of the power generation loss information is realized.

[0109] In one embodiment, the "power generation loss information includes power generation power loss; according to the power generation loss information, a dust deposition power generation loss warning for the photovoltaic power station components is carried out" in the foregoing embodiment may include: the server determines the ratio of the power generation power loss to the rated power of the photovoltaic power station as the first ratio; and, determining the ratio of the future dust deposition information to the preset dust deposition reference as the second ratio; fusing the first ratio and the second ratio to obtain an evaluation result of the influence of dust deposition on the photovoltaic power station at a future time; according to the evaluation result of the influence of dust deposition, determining the corresponding dust deposition warning result.

[0110] In some embodiments, the server may add the first ratio and the second ratio to obtain the evaluation result of the influence of dust deposition. Of course, different weights may also be assigned to the first ratio and the second ratio respectively, and then weighted summation is carried out to obtain the evaluation result of the influence of dust deposition.

[0111] In some embodiments, the server may set different dust-covering warning results according to the differences in the evaluation results of the dust-covering impact.

[0112] The above technical solution comprehensively determines the evaluation result of the dust-covering impact from two aspects: the power generation loss of the photovoltaic power station and the dust deposition information, so that the evaluation result of the dust-covering impact can more accurately reflect the impact of the dust-covering on the photovoltaic power station, and then a more accurate dust-covering warning result can be obtained.

[0113] In one embodiment, in the foregoing embodiment, "determining the future environmental dust concentration of the environment where the photovoltaic power station is located in the future time according to the historical environmental dust concentration, historical meteorological information, and meteorological forecast information includes: determining the similarity between the historical meteorological information and the meteorological forecast information; and determining the future environmental dust concentration of the environment where the photovoltaic power station is located in the future time according to the similarity and the historical environmental dust concentration.

[0114] By determining the similarity between the historical meteorological information and the meteorological forecast information, and according to the similarity and the historical environmental dust concentration, a more accurate future environmental dust concentration can be determined.

[0115] In one embodiment, a method for warning the power generation loss due to dust-covering of photovoltaic power station components is provided, as Figure 3 shown. The above method includes steps S301 to S304. At the same time, in combination with Figure 4 shown, the logical schematic diagram of the above method is given. The specific steps of the above method are described below:

[0116] Step S301: Obtain the real-time operation status of the photovoltaic power station. That is, obtain the current operation information of the photovoltaic power station as described above.

[0117] The warning system for the power generation loss due to dust-covering of photovoltaic power station components obtains the operation status of the photovoltaic inverter in real time through the integrated automation system of the photovoltaic power station, including the output of the photovoltaic string, the communication status of the inverter, the alarm information of the inverter, etc.; at the same time, it also obtains the information of the reference string of the photovoltaic power station, which also includes the output of the photovoltaic string, the communication status of the inverter, the alarm information of the inverter, etc.

[0118] Note: The so-called reference string refers to a photovoltaic string prototype of the same type as the photovoltaic components in the power station, excluding the influence of its own reasons such as equipment failures, defects, or maintenance in the field. The prototype always maintains a clean state through regular cleaning. Usually, the power of a string of photovoltaic strings is collected and sent out through a string inverter.

[0119] Step S302: Combining the power output of the photovoltaic sample module, measure the real-time dust deposition density of the power station (corresponding to the aforementioned current dust deposition information), and correct the power output characteristics of the power station. This step may include steps S3021 to S3022:

[0120] Step S3021: Obtain the output powers of the sample string and the comparison string, and measure the dust deposition density of the photovoltaic module.

[0121] First, measure the initial dust deposition density of the photovoltaic power station module at the current time node. The calculation formula is as follows:

[0122] In the formula: D0 is the initial dust deposition density of the photovoltaic power station module at the current moment, P clean (0) is the theoretical value of the output power of the sample string (clean photovoltaic panel) at the current moment, A clean is the area of the sample string, P dust (0) is the output power of the actually dust-covered string of the power station at the current moment (note: one or several strings of the same type as the sample module can be selected), A dust is the area of the comparison string in the power station, k dust is the dust covering coefficient, which can be calibrated through experimental data.

[0123] Among them, for the sample module and the actual comparison module, components of the same category should be used and compared according to their initial commissioning years to ensure the accuracy of the results. Therefore, it is necessary to correct the measured values of P clean-measure (t), P dust-measure (t) values, and convert them to the initial year of photovoltaic module production. The conversion principle needs to be calculated and corrected according to the measured output power of the string, combined with the annual attenuation rate and operation years of the photovoltaic module:

[0124]

[0125] In the formula, P clean-measure (0), P dust-measure (0) are the measured output power values of the sample string (clean photovoltaic panel) and the comparison dust-covered sample at the current moment respectively, d is the annual attenuation rate of the photovoltaic module, N clean , N dust are the actual operation years of the sample string (clean photovoltaic panel) and the comparison dust-covered sample respectively.

[0126] Step S3022: Based on the dust covering situation of each photovoltaic power station, correct the photovoltaic power output characteristics.

[0127] According to the aforementioned dust deposition density of the photovoltaic power station module, the relevant energy conversion efficiency of the power station, and environmental parameters such as irradiance and temperature, correct the output power characteristics of the photovoltaic panel:

[0128] P PV-dust (D, G, T) = P PV-0 (G, T)·k D

[0129] P PV-0 (G, T) = G·A·η inv ·η pv ·k T

[0130] η pv = η pv0 ·(1 - d) N

[0131] k T = 1 + γ·(T - T stc )

[0132] k D = 1 - k dust ·D

[0133] In the formula, P PV-dust (G, T, D) is the corrected output power considering the dust covering on the photovoltaic panel, P PV-0 (G, T) is the theoretical power generation capacity of the photovoltaic panel, G is the irradiance of the photovoltaic panel, A is the area of the photovoltaic panel, η inv is the conversion efficiency of the photovoltaic power station system (taking into account power losses such as inverters and box transformers), η pv is the solar irradiance conversion efficiency of the photovoltaic module, k T is the module temperature correction coefficient, k D is the module dust covering correction coefficient, η pv0 is the solar irradiance conversion efficiency in the initial year of operation of the photovoltaic module, d is the annual attenuation rate of the photovoltaic module, N is the actual operating years of the photovoltaic module, γ is the temperature coefficient, usually taking a negative value (typical value: -0.4% / °C), T is the ambient temperature of the photovoltaic panel, T stc is the standard test temperature (25°C), D is the dust deposition density of the photovoltaic module at time t, k dust is the dust covering coefficient, which can be calibrated through experimental data.

[0134] Step S303: Based on the historical dust covering data (corresponding to the aforementioned historical environmental dust concentration and historical meteorological information) and meteorological prediction data (corresponding to the aforementioned weather forecast information), predict the operating status of the photovoltaic power station for a period of time in the future and evaluate the impact of dust covering on the photovoltaic power station. This step may include steps S3031 to S3033:

[0135] Step S3031: Combine the historical dust concentration to predict the dust concentration for a period of time in the future.

[0136] Obtain historical data related to the environmental dust concentration, including the historical environmental dust concentration C his.i and the corresponding meteorological data at that time (corresponding to the aforementioned historical meteorological information), including the temperature T his.i , humidity H his.i , wind speed W his.i (where i represents the i-th group of historical data).

[0137] Through the photovoltaic meteorological prediction system, obtain the meteorological data at the future time t (corresponding to the aforementioned meteorological forecast information), including the temperature T pred (t), humidity H pred (t), wind speed W pred (t), etc.

[0138] Based on the historical data and future prediction data, with emphasis on considering the similarity between future meteorological conditions and historical meteorological conditions (corresponding to the aforementioned similarity), design a weight function, and the weight function can reflect the influence degree of future meteorological conditions on historical data:

[0139]

[0140] In the formula, w i (t) is the weight of the i-th group of historical data points at time t, α, β, and γ are the influence factors of temperature, humidity, and wind speed on historical data points respectively, and ε is a smoothing term to avoid the denominator being 0.

[0141] Normalize the weights of the calculated historical dust concentration data so that their sum is 1, specifically as follows:

[0142]

[0143] In the formula, w i-nor (t) is the weight of the i-th group of historical data points after normalization, w i (t) is the weight of the i-th group of historical data points at time t, and n is the total number of historical data groups.

[0144] Thus, the weighted moving average method can be used to predict the future dust concentration (corresponding to the aforementioned future environmental dust concentration):

[0145] In the formula, C pred (t) is the predicted dust concentration at the future time, w i-nor (t) is the weight of the i-th group of historical data points after normalization, C his.i is the i-th group of historical dust concentration data (i.e., the aforementioned historical environmental dust concentration), and n is the total number of historical data groups.

[0146] Step S3032: Obtain meteorological data (corresponding to the aforementioned meteorological forecast information) for a period of time in the future from the photovoltaic power station meteorological prediction system, including irradiance, temperature, humidity, wind speed, etc. Calculate the dust deposition density of the photovoltaic modules (corresponding to the aforementioned future dust deposition information) for a period of time in the future based on the future meteorological data and the dust concentration (corresponding to the aforementioned future environmental dust concentration).

[0147] Based on the predicted dust concentration value C pred (t) at a future time, combined with the meteorological data at the future time obtained from the photovoltaic meteorological prediction system, calculate the dust deposition density D pred (t) of the photovoltaic modules for a period of time in the future. The calculation formula is as follows:

[0148]

[0149] In the formula, D pred (t) is the predicted dust deposition density of the photovoltaic modules at the future time t, D0 is the initial dust deposition density of the photovoltaic power station modules at the current time, dD / dt(t) is the dust deposition rate, u(t) is the wind speed at the future time t, RH(t) is the relative humidity at the future time t, C pred (t) is the predicted dust concentration at the future time t, α is the wind speed attenuation index, β is the humidity influence coefficient, calibrated through experimental data; k is the correction coefficient between the theoretical dust deposition rate and the actual dust deposition rate, calibrated through experimental data.

[0150] After calculating the dust deposition density D pred (t) of the photovoltaic modules for a period of time in the future, the predicted theoretical output power and the output power considering dust covering of the photovoltaic power station at the future time t can be further calculated:

[0151] P0(t) = P PV-0 (G pred (t), T pred (t)),

[0152] P pred (t) = P PV-dust (D pred (t), G pred (t), T pred (t)),

[0153] In the formula, P0(t) is the theoretical output power of the photovoltaic power station at the future time t, P pred (t) is the output power of the photovoltaic power station considering the influence of dust covering at the future time t, D pred (t) is the predicted dust deposition density of the photovoltaic modules at the future time t, G pred (t) is the irradiance at the future time t, and the data comes from the photovoltaic power station meteorological prediction system, Tpred (t) is the ambient temperature at the future time t, and the data is from the meteorological prediction system of the photovoltaic power station.

[0154] Step S3033: Calculate the power, electricity quantity, and power generation loss rate (corresponding to the aforementioned power generation loss information) affected by dust covering of the photovoltaic power station in a future period of time.

[0155] The formula for calculating the affected power is as follows:

[0156] P loss (t) = P0(t) - P pred (t)

[0157] In the formula, Pl oss (t) is the photovoltaic power generation power affected by dust covering, P0(t) is the theoretically available power of the photovoltaic power station at the future time t, and P pred (t) is the predicted output of the photovoltaic power station at the future time t.

[0158] The formula for calculating the affected electricity quantity is as follows:

[0159]

[0160] In the formula, E loss (t) is the photovoltaic power generation electricity quantity affected by dust covering, P loss (t) is the photovoltaic power generation power affected by dust covering, and t0 is the initial time for calculating photovoltaic dust covering.

[0161] Power generation loss rate of the photovoltaic power station:

[0162]

[0163] In the formula, γ(t) is the power generation loss rate of the photovoltaic power station, E loss (t) is the photovoltaic power generation electricity quantity affected by dust covering, E measure (t) is the actually measured power generation of the photovoltaic power station.

[0164] Step S304: According to the pre - evaluation results, classify the impact of photovoltaic dust covering in a future period of time and issue a warning in a timely manner. This step may include steps S3041 to S3042:

[0165] Step S3041: To evaluate the impact of dust covering on photovoltaic modules, design a comprehensive evaluation index for photovoltaic dust covering, and evaluate the impact of dust covering from two aspects: the severity of dust covering and the power impact situation. The calculation formula is as follows:

[0166] F(t) = ω1×P loss (t) / P N +ω2×D pred (t) / D ref

[0167] In the formula, F(t) is the evaluation result of the dust-covering impact at the future time t, ω1 and ω2 are the weights assigned to the factors of the impact power of dust-covering on the operation state of the photovoltaic power station and the dust-covering thickness, and the value range is [0, 1], and ω1 + ω2 = 1, P loss (t) is the estimated dust-covering impact power at the future time t, with the unit of kW, D pred (t) is the thickness result of the estimated dust-covering process at the future time t, with the unit of mm, P N is the rated power reference benchmark value of the photovoltaic power station, D rPf is the reference benchmark value of the dust-covering thickness, and the maximum impact duration value of the dust-covering in the recent three years in this area can be taken.

[0168] Step S3042: Classify the dust-covering situation of the power station according to the comprehensive dust-covering evaluation result.

[0169] According to the result of the comprehensive evaluation index of the dust-covering impact, classify the dust-covering impact. From low to high, it is divided into four levels: level III, level II, and level I. The classification of the dust-covering level of the photovoltaic power station is shown in the following table.

[0170] Table 1 Dust-covering classification of photovoltaic power stations

[0171] Dust covering level Influence ratio I <![CDATA[F≥α3 <!-- 11 -->]]> II <![CDATA[α2 ≤ F < α3]]> III <![CDATA[α1≤F<α2]]>

[0172] Among them, α1, α2, and α3 are the proportions of the comprehensive impact of dust-covering on the photovoltaic power station, and each region can be set according to the statistical analysis of the impact of historical dust-covering on the photovoltaic power station.

[0173] For the dust-covering early warning result, it should be released in time. According to the three levels of dust-covering classification, namely level III, level II, and level I, the colors blue, yellow, and orange correspond to "Blue warning for the impact of dust-covering on power generation of photovoltaic power stations", "Yellow warning for the impact of dust-covering on power generation of photovoltaic power stations", and "Orange warning for the impact of dust-covering on power generation of photovoltaic power stations":

[0174] a) Enter the blue warning state, indicating that the dust-covering has a slight impact on the operation state of the photovoltaic power station. Each photovoltaic string of the power station operates normally and no warning needs to be issued.

[0175] b) Enter the yellow warning state, indicating that the dust-covering has a certain impact on the operation state of the photovoltaic power station. The power station needs to closely monitor the operation of each photovoltaic string and it is recommended to take effective cleaning measures to solve the problem of power limitation of some photovoltaic strings.

[0176] c) Enter the orange warning state, indicating that the dust-covering is serious, has a great impact on the operation state of the photovoltaic power station, and the uneven dust-covering thickness may cause hot spot problems, seriously shortening the service life of the photovoltaic modules. The power station should closely monitor the operation of each photovoltaic string, shut down and cut off some strings if necessary, and start the cleaning work of the photovoltaic modules as soon as possible.

[0177] In some embodiments, such as Figure 5 and Figure 6 shown, a dust - covered power generation loss warning system for photovoltaic power station components is provided. This system can measure the dust - covered situation of photovoltaic components according to the power output of the photovoltaic components, and combine with meteorological prediction data to predict the environmental dust concentration, component dust deposition density and even the power output of the power station considering dust - covering in a future period of time, and evaluate the influence of dust - covering, so as to provide a basis for the cleaning strategy of photovoltaic power station components, and improve the operation economy of the photovoltaic power station and the stability of power supply.

[0178] Exemplarily, this system can be developed based on the domesticated linux operating system, and use the MySQL database to store data such as the relevant operation data of the photovoltaic power station, historical meteorological information, and future predicted meteorological information. At the same time, based on the basic platform interface, data interaction between the database and the upper - layer business modules is realized. The system business software mainly includes the following functional modules:

[0179] ① Photovoltaic and dust - covering monitoring module: mainly responsible for the real - time monitoring of the states of different photovoltaic strings and the dust - covering situation in the photovoltaic power station, including functions such as component state monitoring, inverter state monitoring, string power monitoring, and real - time dust - covering thickness measurement.

[0180] ② Meteorological prediction information receiving module: interfaces with the meteorological and power prediction system of the photovoltaic power station to receive meteorological prediction information, including information such as irradiance, temperature, humidity, wind speed, and dust concentration.

[0181] ③ Dust - covering pre - evaluation module: mainly responsible for carrying out relevant business algorithms for dust - covering pre - evaluation of the photovoltaic power station, including functions such as dust deposition density prediction, loss power prediction, loss electricity prediction, and comprehensive evaluation and warning of the influence of dust - covering.

[0182] ④ Front - end communication module: To implement the relevant business functions for pre - evaluating the influence of dust - covering on photovoltaic power station components, communication docking with external systems is required, including photovoltaic inverters, photovoltaic power station sample components, meteorological monitoring systems, power prediction systems, integrated automation systems, etc.

[0183] ⑤ Human - machine interface: realizes the interaction between the dust - covered power generation loss warning system of the photovoltaic power station components and the operators, including photovoltaic power station monitoring, dust - covering monitoring, system settings, etc.

[0184] To make up for the lack of the function of predicting the power generation loss caused by dust accumulation in existing photovoltaic power stations, the present application provides a method and system for predicting the power generation loss caused by dust accumulation in photovoltaic power station components. First, the real-time operation status of the photovoltaic power station is obtained. Secondly, in combination with the power output of the photovoltaic template components, the real-time dust deposition density of the power station is calculated, and the output characteristics of the power station are corrected. Thirdly, based on the historical dust accumulation data and meteorological prediction data, the operation status of the photovoltaic power station for a period of time in the future is predicted, and the impact of dust accumulation on the photovoltaic power station is evaluated. Finally, according to the pre-evaluation results, the impact of photovoltaic dust accumulation in the future for a period of time is classified, and a warning is issued in a timely manner. The above technical solution realizes the prediction and impact evaluation of the dust accumulation state of photovoltaic components, which helps to improve the operation economy of photovoltaic power stations and the stability of power supply.

[0185] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps in other steps.

[0186] Based on the same inventive concept, the embodiment of the present application also provides a system for predicting the power generation loss caused by dust accumulation in photovoltaic power station components for implementing the above-mentioned method for predicting the power generation loss caused by dust accumulation in photovoltaic power station components. The implementation solution provided by this system to solve the problem is similar to the implementation solution recorded in the above method. Therefore, the specific limitations in one or more embodiments of the system for predicting the power generation loss caused by dust accumulation in photovoltaic power station components provided below can refer to the limitations on the method for predicting the power generation loss caused by dust accumulation in photovoltaic power station components in the above text, and will not be repeated here.

[0187] In an exemplary embodiment, as Figure 7 shown, a system 700 for predicting the power generation loss caused by dust accumulation in photovoltaic power station components is provided, including:

[0188] A first determination module 701, configured to obtain the current operation information of the photovoltaic power station; and determine the current dust deposition information of the photovoltaic components of the photovoltaic power station at the current time according to the current operation information;

[0189] A second determination module 702, configured to obtain the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at a historical time, and meteorological forecast information at a future time; determine the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the historical environmental dust concentration, the historical meteorological information, and the meteorological forecast information; determine the future dust deposition information of the photovoltaic module at the future time according to the future environmental dust concentration and the current dust deposition information;

[0190] A third determination module 703, configured to determine the power generation loss information of the photovoltaic power station at the future time according to the future dust deposition information;

[0191] An early warning module 704, configured to perform early warning on the power generation loss caused by dust covering of the photovoltaic power station components according to the power generation loss information.

[0192] In one embodiment, the second determination module 702 is further configured to determine the future dust deposition information of the photovoltaic module at the future time according to the future environmental dust concentration and the current dust deposition information, including: determining the increased dust deposition information of the photovoltaic module from the current time to the future time according to the future environmental dust concentration and the meteorological forecast information; determining the future dust deposition information of the photovoltaic module at the future time according to the current dust deposition information and the increased dust deposition information.

[0193] In one embodiment, the second determination module 702 is further configured to determine the increased dust deposition information of the photovoltaic module from the current time to the future time according to the future environmental dust concentration and the meteorological forecast information, including: determining the dust deposition rate of the photovoltaic module according to the future wind speed information, future humidity information, and future environmental dust concentration in the meteorological forecast information; determining the increased dust deposition information of the photovoltaic module from the current time to the future time according to the dust deposition rate.

[0194] In one embodiment, the first determination module 701 is further configured to determine the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information, including: obtaining the sample current operation information of the sample module; the sample module is a component of the same category as the photovoltaic modules of the photovoltaic power station without dust covering; correcting the sample current operation information according to the sample operation years and sample annual attenuation rate corresponding to the sample module; correcting the current operation information according to the operation years and annual attenuation rate corresponding to the photovoltaic modules of the photovoltaic power station; determining the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the corrected sample current operation information and the corrected current operation information.

[0195] In one embodiment, the third determination module 703 is further configured to determine the power generation loss information of the photovoltaic power station at a future time according to the future dust deposition information, including: determining the first power generation information of the photovoltaic power station at the future time according to the future irradiance and the future ambient temperature in the weather forecast information; and determining the second power generation information of the photovoltaic power station at the future time according to the future dust deposition information, the future irradiance, and the future ambient temperature; wherein the first power generation information is the power generation information of the photovoltaic power station without dust deposition, and the second power generation information is the power generation information of the photovoltaic power station with dust deposition; determining the power generation loss information of the photovoltaic power station at the future time according to the first power generation information and the second power generation information.

[0196] In one embodiment, the warning module 704 is further configured to the power generation loss information includes power generation power loss; performing a warning on the power generation loss of the photovoltaic power station components covered with dust according to the power generation loss information, including: determining the ratio of the power generation power loss to the rated power of the photovoltaic power station as the first ratio; and determining the ratio of the future dust deposition information to the preset dust deposition reference as the second ratio; fusing the first ratio and the second ratio to obtain an evaluation result of the influence of dust deposition on the photovoltaic power station at the future time; determining the corresponding dust deposition warning result according to the evaluation result of the influence of dust deposition.

[0197] In one embodiment, the second determination module 702 is further configured to determine the future ambient dust concentration of the environment where the photovoltaic power station is located at a future time according to the historical ambient dust concentration, the historical meteorological information, and the weather forecast information, including: determining the similarity between the historical meteorological information and the weather forecast information; determining the future ambient dust concentration of the environment where the photovoltaic power station is located at the future time according to the similarity and the historical ambient dust concentration.

[0198] Each module in the above photovoltaic power station component dust-covered power generation loss warning system can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in the form of hardware or be independent of it, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above respective modules.

[0199] In an exemplary embodiment, a photovoltaic power station component dust-covered power generation loss warning device is provided, and the device may include each module in the above photovoltaic power station component dust-covered power generation loss warning system.

[0200] In an exemplary embodiment, a computer device is provided, and the computer device may be a server, and its internal structure diagram may be as Figure 8As shown in the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data required for implementing the photovoltaic power station component dust-covering power generation loss warning method, such as current operation information, historical meteorological information, and meteorological forecast information, etc. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a photovoltaic power station component dust-covering power generation loss warning method.

[0201] Those skilled in the art can understand that Figure 8 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0202] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0203] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0204] In an embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0205] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, Resistive RandomAccess Memory (ReRAM), MagnetoresistiveRandomAccess Memory (MRAM), Ferroelectric RandomAccess Memory (FRAM), Phase Change Memory (PCM), graphene memory, etc. Volatile memory can include Random Access Memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as Static RandomAccess Memory (SRAM) or Dynamic RandomAccess Memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, Artificial Intelligence (AI) processors, etc., without limitation.

[0206] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in the present application.

[0207] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for warning of power generation loss due to dust covering of photovoltaic power station components, characterized in that The method includes: Obtaining the current operation information of a photovoltaic power station; and determining the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information; Obtaining the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at a historical time, and meteorological forecast information at a future time; Determining the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the historical environmental dust concentration, the historical meteorological information, and the meteorological forecast information; Determining the future dust deposition information of the photovoltaic modules at the future time according to the future environmental dust concentration and the current dust deposition information; Determining the power generation loss information of the photovoltaic power station at the future time according to the future dust deposition information; Performing a warning on the power generation loss due to dust covering of the components of the photovoltaic power station according to the power generation loss information.

2. The method according to claim 1, wherein The determining the future dust deposition information of the photovoltaic modules at the future time according to the future environmental dust concentration and the current dust deposition information includes: Determining the increased dust deposition information of the photovoltaic modules from the current time to the future time according to the future environmental dust concentration and the meteorological forecast information; Determining the future dust deposition information of the photovoltaic modules at the future time according to the current dust deposition information and the increased dust deposition information.

3. The method according to claim 2, wherein The determining the increased dust deposition information of the photovoltaic modules from the current time to the future time according to the future environmental dust concentration and the meteorological forecast information includes: Determining the dust deposition rate of the photovoltaic modules according to the future wind speed information, future humidity information in the meteorological forecast information, and the future environmental dust concentration; Determining the increased dust deposition information of the photovoltaic modules from the current time to the future time according to the dust deposition rate.

4. The method according to claim 1, characterized in that, The determining the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information includes: Obtaining the sample current operation information of a sample module; the sample module is a module of the same category as the photovoltaic modules of the photovoltaic power station without dust covering; Correcting the sample current operation information according to the sample operation years and sample annual attenuation rate corresponding to the sample module; Correcting the current operation information according to the operation years and annual attenuation rate corresponding to the photovoltaic modules of the photovoltaic power station; Determining the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the corrected sample current operation information and the corrected current operation information.

5. The method according to claim 1, wherein The determining the power generation loss information of the photovoltaic power station at the future time according to the future dust deposition information includes: Determining the first power generation information of the photovoltaic power station at the future time according to the future irradiance and future environmental temperature in the meteorological forecast information; and Determining the second power generation information of the photovoltaic power station at the future time according to the future dust deposition information, the future irradiance, and the future environmental temperature; Wherein, the first power generation information is the power generation information of the photovoltaic power station without dust covering, and the second power generation information is the power generation information of the photovoltaic power station with dust covering; Determine the power generation loss information of the photovoltaic power station at the future time according to the first power generation information and the second power generation information.

6. The method according to any one of claims 1 to 5, characterized in that The power generation loss information includes power generation power loss; performing early warning of power generation loss due to dust covering of photovoltaic power station components according to the power generation loss information includes: Determine the ratio of the power generation power loss to the rated power of the photovoltaic power station as the first ratio; and determine the ratio of the future dust deposition information to the preset dust deposition benchmark as the second ratio; Fuse the first ratio and the second ratio to obtain an evaluation result of the influence of dust covering on the photovoltaic power station at the future time; Determine the corresponding dust covering early warning result according to the evaluation result of the influence of dust covering.

7. The method according to any one of claims 1 to 5, characterized in that The determining the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the historical environmental dust concentration, the historical meteorological information and the meteorological forecast information includes: Determine the similarity between the historical meteorological information and the meteorological forecast information; Determine the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the similarity and the historical environmental dust concentration.

8. A dust-covered power generation loss warning system for photovoltaic power station components, characterized in that, The system includes: A first determination module, configured to obtain the current operation information of the photovoltaic power station; and determine the current dust deposition information of the photovoltaic modules of the photovoltaic power station at the current time according to the current operation information; A second determination module, configured to obtain the historical environmental dust concentration, historical meteorological information of the environment where the photovoltaic power station is located at the historical time and the meteorological forecast information at the future time; determine the future environmental dust concentration of the environment where the photovoltaic power station is located at the future time according to the historical environmental dust concentration, the historical meteorological information and the meteorological forecast information; determine the future dust deposition information of the photovoltaic modules at the future time according to the future environmental dust concentration and the current dust deposition information; A third determination module, configured to determine the power generation loss information of the photovoltaic power station at the future time according to the future dust deposition information; An early warning module, configured to perform early warning of power generation loss due to dust covering of photovoltaic power station components according to the power generation loss information.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images