Photovoltaic module cleaning method and system considering irradiance

Abstract

The present invention discloses a photovoltaic module cleaning method and system considering irradiance, establishes an irradiance evaluation index system according to air pollution index, module surface pollution index, ground pollution index and other factors; collects data according to the established irradiance evaluation index system, determines the membership of each index in the irradiance evaluation index system according to the membership function, and calculates the weight value of the irradiance evaluation index system according to the entropy weight method; performs fuzzy comprehensive evaluation on the region in combination with the weight value and the membership, and obtains the fuzzy comprehensive evaluation result of the evaluation layer index i; calculates the comprehensive evaluation value and the weighted average evaluation value according to the fuzzy comprehensive evaluation result of the evaluation layer index i, and obtains the score for evaluating the comprehensive evaluation of the irradiance of the photovoltaic power station; analyzes the influencing factors according to the score for evaluating the comprehensive evaluation of the irradiance of the photovoltaic power station, determines the cleaning priority, and gives the cleaning strategy. The present invention can recover the economic losses caused to the photovoltaic power station by the pollution of photovoltaic modules.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic system application, and in particular relates to a photovoltaic component cleaning method and system taking irradiance into consideration. Background Art

[0002] In the study of photovoltaic power generation systems, in addition to key technologies such as panel materials and conversion efficiency, power prediction, inverter efficiency, maximum power point tracking (MPPT), off-grid control, island protection, and power quality management, for long-term photovoltaic power stations, the impact of dust on the surface of photovoltaic modules, underlying surface conditions, air quality, and other geographical and meteorological factors on irradiance is also an issue that cannot be ignored. The dust on the surface of photovoltaic modules, the underlying surface conditions, air quality, and other geographical and meteorological factors reflect, scatter, and absorb solar radiation, that is, reduce the transmittance of solar radiation, etc., resulting in a decrease in the amount of solar radiation received by the photovoltaic panel and a decrease in output power, which is more obvious as the thickness of dust accumulation increases. In addition, since dust absorbs pollutants of corrosive chemical components in the air, it will form a certain degree of insulation and corrosion on the photovoltaic panel, aggravating the reduction of its photoelectric conversion efficiency. Studies have shown that dust accumulation can reduce the power generation of photovoltaic modules by an average of about 20%, causing huge economic losses to power stations.

[0003] At present, the problems of difficult cleaning of components in photovoltaic power stations, difficult to grasp cleaning nodes, and untimely cleaning have become issues that urgently need to be solved in the development of the photovoltaic industry; whether it is too frequent cleaning or lack of cleaning, it will bring huge losses to photovoltaic power stations, and the determination of component cleaning cycle depends on the impact of dust accumulation on the power generation of photovoltaic components.

[0004] On the other hand, due to the continuous increase in the installed capacity of photovoltaic power stations in recent years, the establishment of an irradiance evaluation method for photovoltaic power stations is imminent. Among them, although the continuous development of photovoltaic power stations has brought huge social and economic benefits, the difference in irradiance of power stations often causes waste of resources. Therefore, we can use the irradiance evaluation of power stations to adjust the utilization rate of solar energy resources in a targeted manner, that is, under the current situation of the continuous development of photovoltaic power stations, understand the specific factors that affect the comprehensive evaluation of irradiance of photovoltaic power stations, and adjust these influencing factors in a timely and effective manner by establishing appropriate evaluation methods to effectively reduce the waste of solar energy resources and increase the power generation of photovoltaic power stations.

[0005] In summary, it is of great significance to understand the irradiance of photovoltaic power stations, especially with the proposal of the "dual carbon goals" and the continuous increase in photovoltaic installed capacity, to comprehensively evaluate the irradiance of photovoltaic power stations. However, the current evaluation methods for the comprehensive evaluation of irradiance of photovoltaic power stations are not standardized enough, and most of them are theoretical studies. There is no consensus on the systematic method of comprehensive evaluation of irradiance and cleaning strategies for photovoltaic power stations. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide a photovoltaic module cleaning method and system taking irradiance into consideration in view of the deficiencies in the above-mentioned prior art, which is suitable for calculating the irradiance of photovoltaic power stations in different regions and recovering the economic losses caused to photovoltaic power stations by photovoltaic module pollution.

[0007] The present invention adopts the following technical solutions:

[0008] A photovoltaic module cleaning method considering irradiance comprises the following steps:

[0009] S1. Establish an irradiance evaluation index system based on air pollution index, component surface pollution index, ground pollution index and other factors;

[0010] S2, collecting data according to the irradiance evaluation index system established in step S1, determining the membership of each index in the irradiance evaluation index system according to the membership function, and calculating the weight value of the irradiance evaluation index system according to the entropy weight method;

[0011] S3, combining the weight value and the degree of membership obtained in step S2 to perform fuzzy comprehensive evaluation on the region, and obtain a fuzzy comprehensive evaluation result of the power station irradiance;

[0012] S4, according to the fuzzy comprehensive evaluation result of the power station irradiance obtained in step S3 and the corresponding score vector, calculate and obtain the score of the comprehensive evaluation irradiance of the photovoltaic power station irradiance;

[0013] S5. Analyze the influencing factors according to the score of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained in step S4 to determine the cleaning priority and provide a cleaning strategy.

[0014] Specifically, in step S1, the air pollution index includes PM 2.5 、PM 10 , AQI, SO2, NO2, CO and O3; the component surface pollution index includes dust particle size, dust thickness and shielding area ratio; the ground pollution index includes the underlying surface reflectivity and soil texture; other factors include geographical and meteorological related rainfall, temperature, wind speed, cloud cover, sunshine hours, total solar radiation and visibility.

[0015] Specifically, in step S2, the membership R(v, x) represents the degree of membership of the indicator x to the state level v. The data of each indicator in the region is obtained by the expert scoring method. The state level p to which each indicator belongs is selected according to the current situation, and the membership R(v, x) of each indicator to each state level is obtained, where the state level V = {v1, v2, v3, v4, v5}, v1 is excellent; v2 is good; v3 is general; v4 is slightly polluted; v5 is heavily polluted; the corresponding score vector is G = {1, 0.75, 0.50, 0.25, 0}.

[0016] Specifically, in step S2, the weight value is calculated by constructing a judgment matrix according to the entropy weight method:

[0017] S2021. Form an evaluation matrix R with m samples and n evaluation indicators = (r ij ) m×n , r ij is the evaluation value of the i-th sample under the j-th indicator;

[0018] S2022, normalizing the evaluation matrix R of step S2021 to obtain a normalized matrix B;

[0019] S2023. Calculate the entropy value H of each evaluation index ij ;

[0020] S2024. Calculate the entropy weight W of each evaluation index;

[0021] S2025. Determine the weight A of each indicator as follows:

[0022]

[0023] Among them, w` i is the subjective weight obtained by expert scoring method, w i is the weight obtained by the entropy weight method.

[0024] Furthermore, in step S2023, the entropy value H of each evaluation index ij for:

[0025]

[0026]

[0027] Among them, B ij is the standardized calculation result, and n is the number of indicators.

[0028] Furthermore, in step S2024, the entropy weight W of each evaluation index is:

[0029]

[0030] Among them, m is the number of samples, H j is the entropy value, and n is the number of indicators.

[0031] Specifically, in step S3, the fuzzy comprehensive evaluation result V of the power station irradiance i as follows:

[0032] V i =Wi×R′ i

[0033] Among them, Wi is the weight vector of each indicator; R′i is the membership matrix of all indicators under the evaluation layer i, and the membership matrix is ​​calculated by the membership function. For the smaller the better indicator:

[0034]

[0035] X ij =1-X j(i-1)

[0036] For the bigger-is-better indicator:

[0037]

[0038] X ij =1-X j(i-1)

[0039] Among them, v ij is the boundary value of the j index belonging to the i-th level; v j(i-1) is the boundary value of the j index belonging to the i-1th level; x j is the test result of index j, X ij It is the calculation result of indicator membership.

[0040] Specifically, in step S4, the comprehensive evaluation value scores of each evaluation index are calculated based on the comprehensive evaluation matrix at each level, and the score Zi for evaluating the comprehensive power generation performance of the photovoltaic power station is obtained as follows:

[0041] Zi=Vi×G T

[0042] Among them, Vi is the fuzzy comprehensive evaluation result of irradiance evaluation index i; G is the index classification vector, and T is the transposition sign.

[0043] Specifically, step S5 is as follows:

[0044] S501, judging the irradiance level according to the score of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained in step S4;

[0045] S502, obtaining the influence of a certain indicator in the irradiance evaluation index system on the irradiance according to the entropy weight method, and obtaining the indicator with the greatest influence on the irradiance by comparison;

[0046] S503, judging the status of a certain indicator in the irradiance evaluation index system according to the comprehensive evaluation value of step S4;

[0047] S504. Analyze the cleaning priority based on the comprehensive evaluation value, and give priority to cleaning photovoltaic modules with irradiance evaluation results of light pollution and heavy pollution.

[0048] Another technical solution of the present invention is a photovoltaic module cleaning method system considering irradiance, comprising:

[0049] System module, establishes irradiance evaluation index system based on air pollution index, component surface pollution index, ground pollution index and other factors;

[0050] The calculation module collects data according to the irradiance evaluation index system established by the system module, determines the membership of each index in the irradiance evaluation index system according to the membership function, and calculates the weight value of the irradiance evaluation index system according to the entropy weight method;

[0051] The evaluation module combines the weight value and the membership degree obtained by the calculation module to perform a fuzzy comprehensive evaluation on the region and obtain the fuzzy comprehensive evaluation result of the power station irradiance;

[0052] The scoring module calculates the score of the comprehensive evaluation of the irradiance of the photovoltaic power station according to the fuzzy comprehensive evaluation result of the irradiance of the power station obtained by the evaluation module and the corresponding score vector;

[0053] The cleaning module determines the cleaning priority and provides a cleaning strategy based on the score analysis of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained by the scoring module.

[0054] Compared with the prior art, the present invention has at least the following beneficial effects:

[0055] The present invention discloses a photovoltaic module cleaning method considering irradiance. Firstly, an index system for influencing irradiance is established from four aspects, with a total of 19 indexes. The air pollution index, the pollution index of the module surface, the ground pollution index and other geographical and meteorological factors affecting irradiance are evaluated based on the entropy weight method and the fuzzy comprehensive evaluation model. The irradiance state is analyzed, and the priority of module cleaning is analyzed. Thus, based on the irradiance, a photovoltaic module cleaning plan is established in a targeted manner. The plan provides timely dust cleaning time points for modules and power stations at the management level, which plays a guiding role, and recovers the economic losses caused to photovoltaic power stations by photovoltaic module pollution.

[0056] Furthermore, studies have shown that the dust effect forms a dust coating on the surface of photovoltaic glass, significantly reducing the amount of light received by the solar cell and the total amount of electrical energy output of the photovoltaic module. The power generation is reduced by 5% to 45%, which is an important reason affecting the working efficiency of the photovoltaic power generation system. In addition, the power of ground photovoltaic modules with high ground reflectivity will drop faster than that of ground with low reflectivity. The above situations all affect the power generation of the power station by affecting the irradiance. The dust effect mainly comes from air pollution and pollution on the surface of the module, and the ground reflection is related to ground pollution. At the same time, geographical and meteorological factors at the location of the power station will also affect the irradiance received by the power station. In summary, the present invention evaluates the irradiance of the power station based on the air pollution index, the module surface pollution index, the ground pollution index and other factors.

[0057] Furthermore, in the present invention, the degree of membership is the degree of correspondence between the test results of each indicator in the grading evaluation range. For example, the closer the degree of membership is to 1, the higher the degree to which the indicator i belongs to the grade V1, and the closer the degree of membership is to 0, the lower the degree to which the indicator i belongs to V1. The membership function R′(x) with a value in the interval (0, 1) is used to characterize the degree to which the indicator belongs to V i The degree of membership belongs to the concept of fuzzy evaluation function. Fuzzy comprehensive evaluation is a very effective multi-factor decision-making method to make a comprehensive evaluation of things affected by multiple factors. Its characteristic is that the evaluation result is not absolutely positive or negative, but expressed as a fuzzy set.

[0058] Furthermore, the weight in this invention refers to the importance of a certain indicator relative to the irradiance. It is different from the general proportion and reflects not only the percentage of a certain indicator, but emphasizes the relative importance of the evaluation indicator, and tends to focus on the contribution or importance of the indicator to the irradiance.

[0059] Furthermore, "entropy" is an information management method and a measure of uncertainty. The larger the entropy, the more chaotic the information is and the less information it carries; the smaller the entropy, the more orderly the information is and the more information it carries. The entropy value in this invention is a judgment of the degree of discreteness of the indicator. The greater the degree of discreteness of the indicator, the greater the impact of the indicator on the irradiance.

[0060] Furthermore, the entropy weight, i.e., the weight of the indicator, is calculated based on the entropy value.

[0061] Furthermore, the comprehensive evaluation result of irradiance V i It refers to the degree of membership of the comprehensive evaluation of irradiance to different levels, which is a fuzzy set.

[0062] Furthermore, since the irradiance comprehensive evaluation result obtained in the previous step is a fuzzy set, in order to obtain the comprehensive score of irradiance, the fuzzy set of the irradiance comprehensive evaluation result and the score vector are calculated. A targeted cleaning strategy is formulated based on the comprehensive scoring result, while the fuzzy set obtained in S3 cannot accurately formulate a cleaning strategy.

[0063] Furthermore, the cleaning strategy is determined based on the comprehensive irradiance score, and the photovoltaic components are cleaned in a timely and targeted manner, thus reducing the economic losses to the power station caused by untimely component cleaning.

[0064] In summary, the present invention is applicable to the calculation of daily irradiance conditions of different photovoltaic power stations. A photovoltaic module cleaning plan is established according to the irradiance conditions to provide guidance for photovoltaic power station cleaning and recover the economic losses caused by photovoltaic module pollution to the photovoltaic power station.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the process of the present invention;

[0067] Figure 2 It is a schematic diagram of the irradiance evaluation index system of the photovoltaic power station of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0070] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0071] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0072] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0073] The present invention provides a photovoltaic module cleaning method considering irradiance, comprehensively analyzes the influence of air pollution index, pollution index of module surface, ground pollution index and other geographical, meteorological and other factors on the irradiance received by photovoltaic modules, and establishes an evaluation method for the influence of irradiance based on entropy weight method-fuzzy comprehensive evaluation model, and establishes a photovoltaic module cleaning method considering irradiance according to the evaluation result of irradiance; firstly, a multi-level analysis of expert scoring (hereinafter referred to as MAES) model is established, and the comprehensive evaluation index of irradiance of photovoltaic power station is hierarchically decomposed, and then the fuzzy-entropy weight method is used to determine the membership and weight value of each index, and finally the comprehensive evaluation value of irradiance of photovoltaic power station is obtained through fuzzy entropy weight calculation. The value is compared with the index classification vector to obtain the comprehensive evaluation result of irradiance of the whole photovoltaic power station.

[0074] See also Figure 1 The present invention provides a photovoltaic module cleaning method taking irradiance into consideration, comprising the following steps:

[0075] S1. Establishing the indicator system framework

[0076] The present invention establishes an irradiance evaluation index system from air pollution index, component surface pollution index, ground pollution index and other geographical, meteorological and other factors, combines the main factors affecting irradiance together for analysis and evaluation, obtains irradiance results, and determines the cleaning strategy of photovoltaic components.

[0077] See also Figure 2 ,The index system is divided into four aspects, namely air pollution index A, component surface pollution index B, ground pollution index C and other factors D;

[0078] The air pollution index A is the impact of air quality on irradiance; the component surface pollution index B is the impact of the component surface condition on irradiance; the ground pollution index C is the impact of the underlying surface conditions on irradiance; other factors D are some geographical and meteorological factors that affect irradiance.

[0079] Air pollution index A: Select PM 2.5 (fine particulate matter), PM 10 Seven indicators, including (inhalable particulate matter), AQI (Air Pollution Index), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), CO (carbon monoxide) and O3 (ozone), are used as sub-elements to characterize air quality;

[0080] Component surface pollution index B: Three indicators, including dust particle size, dust thickness and shading area ratio, are selected as sub-elements to characterize the component status;

[0081] Ground pollution index C: Two indicators, namely, the underlying surface reflectivity and soil texture, are selected as sub-elements to characterize the underlying surface conditions;

[0082] Other factors D: Seven indicators related to geography and meteorology, including rainfall, temperature, wind speed, cloud cover, sunshine hours, total solar radiation and visibility, were selected to characterize the impact of geographical and meteorological factors.

[0083] S2. Collect data according to the indicator system established in step S1 to obtain the degree of membership and weight value of each indicator in the indicator system;

[0084] S201, membership

[0085] The membership of each indicator indicates the degree of membership of the current status value of each indicator to the state level. The state level is set to V = {excellent, good, general, slightly polluted, heavily polluted}, indicating five states of the indicator, among which v1 is excellent; v2 is good; v3 is general; v4 is slightly polluted; v5 is heavily polluted; the corresponding score vector is G = {1, 0.75, 0.50, 0.25, 0}; the membership R (v, x) indicates the degree of membership of the indicator x to the state level v. The closer R (v, x) is to 1, the higher the degree to which the indicator x belongs to the state level v. The closer R (v, x) is to 0, the lower the degree to which the indicator x belongs to the state level v.

[0086] The data of each indicator in the region are obtained through expert scoring method and literature data. Experts select the status level v of each indicator according to the current situation and obtain the membership degree R(v,x) of each indicator to each status level.

[0087] S202, weight value

[0088] The weight value indicates the size of each indicator's share of the total and its importance in affecting the overall capability. The weight vector indicates the aggregation of multiple weight values ​​in the form of a single-row matrix. The weight matrix indicates the aggregation of multiple indicator memberships in the form of a matrix. The weight value is calculated according to the entropy weight method and the judgment matrix is ​​constructed to obtain the weight value.

[0089] S2021. Form an evaluation matrix R with m samples and n evaluation indicators = (r ij ) m×n . Among them r ij is the evaluation value of the i-th sample under the j-th indicator;

[0090] S2022. Standardize the evaluation matrix of step S2021 to obtain a standardized matrix B.

[0091] The standardization calculation method is divided into the following two cases:

[0092] The bigger the better indicator:

[0093]

[0094] The smaller the better indicator:

[0095]

[0096] Among them, r max 、r min Indicates the maximum and minimum values ​​of the same evaluation index.

[0097] S2023. Calculate the entropy value H of each evaluation index ij ;

[0098]

[0099] in, When f ij =0, lnf ij meaningless.

[0100] Assume f ij = 0, f ij lnf ij =0.

[0101] S2024. Calculate the entropy weight W of each evaluation index;

[0102]

[0103] Satisfy ∑w i =1.

[0104] S2025. Determine the weight A of each indicator.

[0105]

[0106] Among them, w` i The subjective weight is obtained through expert scoring method.

[0107] S3. Fuzzy comprehensive evaluation of the region based on weight value and membership degree

[0108] The comprehensive evaluation method converts qualitative evaluation into quantitative evaluation based on the membership theory of fuzzy mathematics, that is, using fuzzy mathematics to make an overall evaluation of things or objects that are constrained by multiple factors. The present invention applies the fuzzy comprehensive evaluation method, combines the membership with the weight value, obtains the fuzzy comprehensive evaluation results of each evaluation layer, and finally obtains the fuzzy comprehensive evaluation result, that is, the score of the comprehensive evaluation of the irradiance of the photovoltaic power station.

[0109] According to formula (1), the fuzzy comprehensive evaluation result of each evaluation layer is calculated, that is, the membership matrix of the evaluation layer:

[0110] V i =Wi×R′ i (1)

[0111] Among them, v i is the fuzzy comprehensive evaluation result of the evaluation layer index i; Wi is the weight vector of each index; R′i is the membership matrix of all indicators under the evaluation layer i.

[0112] The membership matrix is ​​calculated by the membership function. The specific process is as follows:

[0113] For smaller-is-better indicators:

[0114]

[0115] X ij =1-X j(i-1)

[0116] For the bigger-is-better indicator:

[0117]

[0118] X ij =1-X j(i-1)

[0119] Among them, v ij is the boundary value of the j index belonging to the i-th level; the boundary value is calculated by the grading standard in Table 2. For the grading standard of a single interval, it is the boundary value, and for the grading standard of a double interval, it is the middle value of the interval; v j(i-1) is the boundary value of the j index belonging to the i-1th level; x j is the detection result of the j indicator.

[0120] S4. Calculate the comprehensive evaluation value and weighted average evaluation value

[0121] The comprehensive evaluation value represents the status of each indicator. The comprehensive score Zi of the status value of each evaluation indicator is calculated based on the comprehensive evaluation matrix at all levels according to the following formula.

[0122] Zi=Vi×G T

[0123] Among them, Vi is the fuzzy comprehensive evaluation result of irradiance evaluation index i; G is the index classification vector {1, 0.75, 0.50, 0.25, 0}.

[0124] S5. Analyze the influencing factors and provide cleaning strategies.

[0125] S501, judging the irradiance level according to the final fuzzy comprehensive evaluation result obtained in step S3;

[0126] S502, obtaining the influence of a certain indicator in the indicator system on the irradiance according to the entropy weight method, and obtaining the indicator with the greater influence on the irradiance through comparison;

[0127] S503, judging the status of a certain indicator in the indicator system according to the comprehensive evaluation value obtained in step S4;

[0128] S504. Analyze the cleaning priority based on the comprehensive evaluation value: give priority to cleaning components with irradiance evaluation results of light pollution and heavy pollution.

[0129] In another embodiment of the present invention, a photovoltaic module cleaning system considering irradiance is provided, which can be used to implement the above-mentioned photovoltaic module cleaning considering irradiance. Specifically, the photovoltaic module cleaning system considering irradiance includes a system module, a calculation module, an evaluation module, a scoring module and a cleaning module.

[0130] Among them, the system module establishes an irradiance evaluation index system based on the air pollution index, component surface pollution index, ground pollution index and other factors;

[0131] The calculation module collects data according to the irradiance evaluation index system established by the system module, determines the membership of each index in the irradiance evaluation index system according to the membership function, and calculates the weight value of the irradiance evaluation index system according to the entropy weight method;

[0132] The evaluation module combines the weight value and the membership degree obtained by the calculation module to perform a fuzzy comprehensive evaluation on the region and obtain the fuzzy comprehensive evaluation result of the power station irradiance;

[0133] The scoring module calculates the score of the comprehensive evaluation of the irradiance of the photovoltaic power station according to the fuzzy comprehensive evaluation result of the irradiance of the power station obtained by the evaluation module and the corresponding score vector;

[0134] The cleaning module determines the cleaning priority and provides a cleaning strategy based on the score analysis of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained by the scoring module.

[0135] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the photovoltaic module cleaning method considering irradiance, including:

[0136] Establish an irradiance evaluation index system based on the air pollution index, component surface pollution index, ground pollution index and other factors; collect data based on the established irradiance evaluation index system, determine the membership of each indicator in the irradiance evaluation index system based on the membership function, and calculate the weight value of the irradiance evaluation index system based on the entropy weight method; conduct fuzzy comprehensive evaluation of the region based on the weight value and membership, and obtain the fuzzy comprehensive evaluation result of the power station irradiance; calculate the score of the comprehensive evaluation of the irradiance of the photovoltaic power station based on the fuzzy comprehensive evaluation result of the power station irradiance and the corresponding score vector; analyze the influencing factors based on the score of the comprehensive evaluation of the irradiance of the photovoltaic power station to determine the cleaning priority and provide a cleaning strategy.

[0137] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0138] One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the photovoltaic module cleaning method considering irradiance in the above embodiment; one or more instructions in the computer-readable storage medium are loaded and executed by the processor as follows:

[0139] Establish an irradiance evaluation index system based on the air pollution index, component surface pollution index, ground pollution index and other factors; collect data based on the established irradiance evaluation index system, determine the membership of each indicator in the irradiance evaluation index system based on the membership function, and calculate the weight value of the irradiance evaluation index system based on the entropy weight method; conduct fuzzy comprehensive evaluation of the region based on the weight value and membership, and obtain the fuzzy comprehensive evaluation result of the power station irradiance; calculate the score of the comprehensive evaluation of the irradiance of the photovoltaic power station based on the fuzzy comprehensive evaluation result of the power station irradiance and the corresponding score vector; analyze the influencing factors based on the score of the comprehensive evaluation of the irradiance of the photovoltaic power station to determine the cleaning priority and provide a cleaning strategy.

[0140] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0141] The selection of irradiance evaluation index system, the classification of status levels and the corresponding cleaning strategies specified according to the evaluation results. Specific implementation process:

[0142] Table 1 Definition and introduction of each indicator

[0143]

[0144]

[0145]

[0146] Table 2 Status of each indicator

[0147]

[0148]

[0149] Table 3 Weights of indicators and critical values ​​of status quo membership

[0150]

[0151]

[0152] Table 4 Example verification - a power station in Qinghai

[0153]

[0154]

[0155]

[0156] Fuzzy comprehensive evaluation results of irradiance of a photovoltaic power station in Qinghai:

[0157] V i =Wi×R′ i

[0158]

[0159] Irradiance score of a photovoltaic power station in Qinghai:

[0160] Zi=Vi×G T

[0161] Where Z = (0.582, 0.195, 0.192, 0.000, 0.031) (1, 0.75, 0.50, 0.25, 0) T =0.824; according to the index classification vector G={1, 0.75, 0.50, 0.25, 0}, it reaches an excellent level, which is consistent with the current situation.

[0162] The above evaluation results show that the irradiance of a photovoltaic power station in Qinghai is "excellent", and most indicators are in excellent or above, with the most indicators in "excellent" status, followed by "good", and fewer indicators in "average" and below; the main influencing factors are total solar radiation, sunshine hours and dust particle size. According to the evaluation results of this time, the irradiance of the power station is "excellent" and does not need to be cleaned for the time being. When the evaluation results of the irradiance reach average or below, it must be cleaned in time.

[0163] In summary, the photovoltaic module cleaning method and system taking irradiance into consideration in the present invention are suitable for calculating the irradiance of photovoltaic power stations in different regions. The guiding value and applicability of the present invention are verified by empirical calculation results.

[0164] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0165] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0166] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0167] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0168] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A photovoltaic module cleaning method considering irradiance, characterized in that: The following steps are involved: S1. Establish an irradiance evaluation index system based on air pollution index, component surface pollution index, ground pollution index and other factors; S2. Collect data according to the irradiance evaluation index system established in step S1, determine the membership of each index in the irradiance evaluation index system according to the membership function, calculate the weight value of the irradiance evaluation index system according to the entropy weight method, and construct a judgment matrix according to the entropy weight method to calculate the weight value as follows: S2021, Formation samples, Evaluation matrix of evaluation indicators , It is j Under the indicator i The evaluation value of samples; S2022. Evaluation matrix for step S2021 Perform standardization to obtain a standardized matrix B; S2023. Calculate the entropy value of each evaluation index , the entropy value of each evaluation index for: in, To standardize the calculation results, is the index number; S2024. Calculate the entropy weight of each evaluation index , the entropy weight of each evaluation index for: in, is the number of samples, is the entropy value, is the index number; S2025. Determine the weight of each indicator as follows: in, The subjective weight is obtained by expert scoring method. is the weight obtained by entropy weight method; S3, combining the weight value and the degree of membership obtained in step S2 to perform fuzzy comprehensive evaluation on the region, and obtain a fuzzy comprehensive evaluation result of the power station irradiance; S4, calculating the irradiance score of the photovoltaic power station based on the fuzzy comprehensive evaluation result of the power station irradiance obtained in step S3 and the corresponding score vector; S5. Analyze the influencing factors according to the score of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained in step S4 to determine the cleaning priority and provide a cleaning strategy.

2. The method according to claim 1, characterized in that In step S1, the air pollution index includes PM 2.5 、PM 10 , AQI, SO2, NO2, CO and O3; the component surface pollution index includes dust particle size, dust thickness and shielding area ratio; the ground pollution index includes the underlying surface reflectivity and soil texture; other factors include geographical and meteorological related rainfall, temperature, wind speed, cloud cover, sunshine hours, total solar radiation and visibility.

3. The method according to claim 1, characterized in that In step S2, the membership R(v,x) represents the degree of membership of indicator x to state level v. The data of each indicator in the region are obtained by the expert scoring method. The state level p to which each indicator belongs is selected according to the current situation to obtain the membership R(v,x) of each indicator to each state level, where state level V = {v1, v2, v3, v4, v5}, v1 is excellent; v2 is good; v3 is general; v4 is slightly polluted; v5 is heavily polluted; the corresponding score vector is G = {1, 0.75, 0.50, 0.25, 0}.

4. The method according to claim 1, characterized in that: In step S3, the fuzzy comprehensive evaluation result V of the power station irradiance is i as follows: In i =Wi×R′ i Among them, Wi is the weight vector of each indicator; R′ i is the membership matrix of all indicators under the evaluation layer i. The membership matrix is ​​calculated by the membership function. For the smaller the better indicator: For the bigger-is-better indicator: in, for j Indicator belongs to i The boundary value of each level; for j Indicator belongs to i-1 The boundary value of each level; for j The test results of the indicators, It is the calculation result of indicator membership.

5. The method according to claim 1, characterized in that In step S4, the comprehensive evaluation value scores of each evaluation index are calculated based on the comprehensive evaluation matrix at each level, and the score Zi for evaluating the comprehensive power generation performance of the photovoltaic power station is obtained as follows: Day=Fri×G T Among them, Vi is the fuzzy comprehensive evaluation result of irradiance evaluation index i; G is the index classification vector, and T is the transposition sign.

6. The method according to claim 1, characterized in that Step S5 is specifically as follows: S501, judging the irradiance level according to the score of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained in step S4; S502, obtaining the influence of a certain indicator in the irradiance evaluation index system on the irradiance according to the entropy weight method, and obtaining the indicator with the greatest influence on the irradiance by comparison; S503, judging the status of a certain indicator in the irradiance evaluation index system according to the comprehensive evaluation value of step S4; S504. Analyze the cleaning priority based on the comprehensive evaluation value, and give priority to cleaning photovoltaic modules with irradiance evaluation results of light pollution and heavy pollution.

7. A photovoltaic module cleaning method system considering irradiance, characterized in that: A photovoltaic module cleaning method taking irradiance into consideration according to any one of claims 1 to 6, comprising: System module, establishes irradiance evaluation index system based on air pollution index, component surface pollution index, ground pollution index and other factors; The calculation module collects data according to the irradiance evaluation index system established by the system module, determines the membership of each index in the irradiance evaluation index system according to the membership function, and calculates the weight value of the irradiance evaluation index system according to the entropy weight method; The evaluation module combines the weight value and the membership degree obtained by the calculation module to perform a fuzzy comprehensive evaluation on the region and obtain the fuzzy comprehensive evaluation result of the power station irradiance; The scoring module calculates the score of the comprehensive evaluation of the irradiance of the photovoltaic power station according to the fuzzy comprehensive evaluation result of the irradiance of the power station obtained by the evaluation module and the corresponding score vector; The cleaning module determines the cleaning priority and provides a cleaning strategy based on the score analysis of the comprehensive evaluation of the irradiance of the photovoltaic power station obtained by the scoring module.

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