Cooling method and system for photovoltaic module

Abstract

The invention discloses a cooling method and system for a photovoltaic module, and the method comprises the steps: setting a plurality of monitoring modules of the photovoltaic module, obtaining and analyzing the characteristic temperature data of each monitoring module, and generating a temperature evaluation value of each monitoring module according to an analysis result; setting a monitoring time interval of each monitoring module according to the temperature evaluation value, acquiring real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and constructing a temperature change curve according to the real-time temperature data; setting a cooling grade of the corresponding monitoring module according to the temperature change curve, and setting an initial cooling method of the corresponding cooling grade; the temperature change characteristics fed back by each monitoring module are obtained, the application evaluation value of the initial cooling method is generated according to the temperature change characteristics, the reasonable cooling method is formulated, the cooling efficiency is improved, unnecessary water resource waste is avoided, and the power generation efficiency of the photovoltaic module is further improved.

Description

Technical Field

[0001] The present application relates to the technical field of photovoltaic modules, and in particular to a cooling method and system for photovoltaic modules. Background Art

[0002] Photovoltaic modules generate a lot of heat during operation. If they cannot be cooled down in time, the module temperature will rise to even over 60 degrees Celsius. Long-term high temperature will shorten the life of photovoltaic cells. Photovoltaic module cooling can dissipate heat in time, reduce module temperature, and extend the service life of modules.

[0003] In the prior art, photovoltaic modules are mostly cooled by natural cooling or spray cooling. Natural cooling and spray cooling often have unreasonable cooling methods, resulting in low cooling efficiency, which reduces the power generation efficiency of photovoltaic modules or causes unnecessary waste of water resources. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a cooling method and system for photovoltaic modules, sets multiple monitoring modules and sets the monitoring time interval according to the temperature evaluation value of the monitoring module, improves the temperature monitoring accuracy of the photovoltaic module, obtains the real-time temperature data of each monitoring module according to the monitoring time interval, constructs a temperature change curve according to the real-time temperature data and sets the required cooling level and the corresponding initial cooling method, calculates the temperature change characteristics after the initial cooling method, and generates corresponding correction instructions, determines the required cooling level for each monitoring module and formulates a reasonable cooling method, improves the cooling efficiency and avoids unnecessary waste of water resources, and further improves the power generation efficiency of the photovoltaic module.

[0005] In some embodiments of the present application, a method for cooling a photovoltaic module is provided, comprising:

[0006] Set multiple monitoring modules of the photovoltaic module, obtain and analyze the characteristic temperature data of each monitoring module, and generate a temperature evaluation value of each monitoring module according to the analysis results;

[0007] The monitoring time interval of each monitoring module is set according to the temperature evaluation value, the real-time temperature data of the corresponding monitoring module is obtained according to the monitoring time interval, and the temperature change curve is constructed according to the real-time temperature data;

[0008] Set the cooling level of the corresponding monitoring module according to the temperature change curve, and set the initial cooling method of the corresponding cooling level;

[0009] The temperature change characteristics fed back by each monitoring module are obtained, an application evaluation value of the initial cooling method is generated according to the temperature change characteristics, and it is determined whether to generate a correction instruction for the initial cooling method.

[0010] In some embodiments of the present application, the cooling level includes a first cooling level and a second cooling level. When the cooling level is the first cooling level, the working parameters of the control module are set according to the initial cooling method of the first cooling level. When the cooling level is the second cooling level, the working parameters of the spray module are set according to the initial cooling method of the second cooling level.

[0011] The regulating module is arranged on a bracket of the photovoltaic assembly, and is used to regulate the panel rotation angle of the photovoltaic assembly. The spray module is arranged on one side of the panel of the photovoltaic assembly.

[0012] In some embodiments of the present application, a temperature evaluation value of each monitoring module is generated according to the analysis result, including:

[0013] Acquire real-time weather data within a preset period, perform feature extraction on the real-time weather data, obtain characteristic weather data that is strongly correlated with the historical temperature data of the photovoltaic module, and construct a real-time characteristic weather data change curve based on the characteristic weather data within the preset period;

[0014] Obtain historical characteristic weather data within multiple historical preset time periods, and construct multiple historical characteristic weather data change curves;

[0015] Compare the real-time characteristic weather data change curve with multiple historical characteristic weather data change curves to obtain multiple similarities, select the historical characteristic weather data change curve with the greatest similarity to the real-time characteristic weather data change curve, and obtain the historical temperature data of each monitoring module within the next adjacent historical preset period of the selected historical characteristic weather data change curve, and set it as the characteristic temperature data;

[0016] Establish multiple temperature evaluation indicators;

[0017] Extract and evaluate the associated information of the characteristic temperature data of each monitoring module within a historical preset period according to multiple temperature evaluation indicators, and generate a reference evaluation value for each temperature evaluation indicator;

[0018] Generate a temperature evaluation value of characteristic temperature data of a corresponding monitoring module according to reference evaluation values ​​of a plurality of temperature evaluation indicators;

[0019] The calculation formula of the temperature evaluation value is:

[0020]

[0021] Among them, a is the temperature evaluation value, βi is the reference evaluation value of the i-th temperature evaluation index, and bi is the weight coefficient of the i-th temperature evaluation index.

[0022] In some embodiments of the present application, the monitoring time interval of each monitoring module is set according to the temperature evaluation value, including:

[0023] Presetting a first preset temperature evaluation value interval, a second preset temperature evaluation value interval, a third preset temperature evaluation value interval and a fourth preset temperature evaluation value interval;

[0024] When the temperature evaluation value of the monitoring module is within the first preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the first preset monitoring time interval;

[0025] When the temperature evaluation value of the monitoring module is within the second preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the second preset monitoring time interval;

[0026] When the temperature evaluation value of the monitoring module is within the third preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the third preset monitoring time interval;

[0027] When the temperature evaluation value of the monitoring module is within the fourth preset temperature evaluation value interval, the monitoring time interval of the corresponding monitoring module is set to the fourth preset monitoring time interval.

[0028] In some embodiments of the present application, setting the cooling level of the corresponding monitoring module according to the temperature change curve includes:

[0029] Acquire the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and use the preset time period as the time reference line to construct a temperature change curve according to the real-time temperature data collected at the monitoring time interval;

[0030] Subtracting the real-time temperature data collected at each monitoring time interval in the temperature change curve from the standard temperature data to obtain a plurality of first temperature difference values;

[0031] Generate a slope change rate according to the slope of the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve;

[0032] Subtracting the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve to obtain a plurality of second temperature difference values;

[0033] comparing the first temperature difference value with the standard first temperature difference value, and generating a first grade coefficient according to the comparison result;

[0034] The slope change rate is compared with the standard slope change rate, and a second level coefficient is generated according to the comparison result;

[0035] comparing the second temperature difference value with the standard second temperature difference value, and generating a third grade coefficient according to the comparison result;

[0036] Obtain the power generation and power generation efficiency of each monitoring module in the current preset time period, and construct the corresponding power generation change curve and power generation efficiency change curve, and determine the power generation fluctuation value, power generation fluctuation degree, power generation efficiency fluctuation value, and power generation efficiency fluctuation degree according to the power generation change curve and power generation efficiency change curve;

[0037] Generate a first compensation coefficient for the corresponding monitoring module according to the power generation fluctuation value and power generation fluctuation degree of each monitoring module, and generate a second compensation coefficient according to the power generation efficiency fluctuation value and power generation efficiency fluctuation degree of each monitoring module;

[0038] Generate a comprehensive level coefficient according to the first level coefficient, the second level coefficient, the third level coefficient, the first compensation coefficient and the second compensation coefficient of the same monitoring module, and set the cooling level according to the comprehensive level coefficient;

[0039] The calculation formula of the comprehensive grade coefficient is:

[0040]

[0041] Wherein, D is the comprehensive grade coefficient, r1 is the first compensation coefficient, r2 is the second compensation coefficient, t1 is the weight coefficient of the first grade coefficient, n is the total number of monitoring time intervals, Q1i is the real-time temperature data of the i-th monitoring time interval, Q2i is the slope change rate of the i-th adjacent monitoring time interval, Q20 is the standard slope change rate, Q3i is the second temperature difference of the i-th adjacent monitoring time interval, Q30 is the standard second temperature difference, t2 is the weight coefficient of the second grade coefficient, and t3 is the weight coefficient of the third grade coefficient.

[0042] In some embodiments of the present application, the initial cooling method corresponding to the cooling level is set, including:

[0043] Pre-set comprehensive grade coefficient threshold;

[0044] When the comprehensive level coefficient of the monitoring module is less than the comprehensive level coefficient threshold, the cooling level of the current monitoring module is set to the first level cooling level, and the first comprehensive level coefficient difference is calculated;

[0045] Generate a first-level cooling level sequence H1, H1 (h11, h12, ..., h1j) of the monitoring modules at the first-level cooling level according to the first comprehensive level coefficient difference, wherein h1g is the g-th monitoring module at the first-level cooling level, g = 1, 2, ..., j;

[0046] Determine the preset first-level cooling method of each monitoring module according to the first-level cooling strategy library of each monitoring module, integrate multiple preset first-level cooling methods according to the first-level cooling level sequence, and obtain the initial cooling method of all the monitoring modules of the first-level cooling level;

[0047] When the comprehensive level coefficient of the monitoring module is greater than the comprehensive level coefficient threshold, the cooling level of the monitoring module is set to the secondary cooling level, and the second comprehensive level coefficient difference is calculated;

[0048] Generate a secondary cooling level sequence H2, H2 (h21, h22, ..., h2f) of the monitoring modules at the secondary cooling level according to the second comprehensive level coefficient difference, wherein h2k is the kth monitoring module at the secondary cooling level, k = 1, 2, ..., f;

[0049] Determine the preset secondary cooling method of each monitoring module according to the secondary cooling strategy library of each monitoring module, and determine the spraying influence relationship between the monitoring modules, correct the preset secondary cooling method of the monitoring module involved according to the spraying influence relationship, and obtain the initial cooling method of all the monitoring modules of the secondary cooling level according to the secondary cooling level sequence H2 according to the corrected preset secondary cooling method;

[0050] Among them, the initial cooling method of the monitoring modules of all secondary cooling levels includes the spraying sequence, the spraying flow rate of each monitoring module and the spraying time.

[0051] In some embodiments of the present application, a primary cooling strategy library of each monitoring module in the primary cooling module is determined, wherein the primary cooling strategy library includes a plurality of preset first comprehensive level coefficient difference values ​​corresponding to the monitoring module, and each preset first comprehensive level coefficient difference value is associated with a specific preset cooling method;

[0052] Compare the first comprehensive level coefficient difference of each monitoring module with several preset first comprehensive level coefficient difference values ​​of the corresponding monitoring module to obtain a first difference value, and set the preset cooling method associated with the preset first comprehensive level coefficient difference value with the smallest first difference value as the preset cooling method of the corresponding monitoring module;

[0053] Determine a secondary cooling strategy library for each monitoring module in the secondary cooling module, wherein the secondary cooling strategy library includes a plurality of preset second comprehensive level coefficient differences corresponding to the monitoring module, and each preset second comprehensive level coefficient difference is associated with a specific preset cooling method;

[0054] The second comprehensive level coefficient difference of each monitoring module is compared with several preset second comprehensive level coefficient differences of the corresponding monitoring module to obtain the second difference, and the preset cooling method associated with the preset second comprehensive level coefficient difference with the smallest second difference is set as the preset cooling method of the corresponding monitoring module.

[0055] In some embodiments of the present application, determining the spray influence relationship between monitoring modules includes:

[0056] Each monitoring module at the second-level cooling level is set as a target monitoring module, and the monitoring modules in the second-level cooling level sequence H2 that are ranked after the target monitoring module are set as modules to be affected by the target monitoring module;

[0057] Determine the spray flow direction of each target monitoring module according to the tilt amplitude of the photovoltaic panel;

[0058] Perform position analysis based on the spray flow direction of each target monitoring module and the module to be affected of the corresponding target monitoring module. If the spray flow direction passes through the module to be affected, the corresponding module to be affected is set as the spray affecting module of the current target monitoring module.

[0059] The spray flow and spray duration of each target monitoring module are used to determine the spray impact duration of the corresponding spray impact module, and the spray impact duration is combined with the spray flow of the corresponding target monitoring module to generate the spray impact temperature of the spray impact module;

[0060] The updated temperature data of the spray influencing module is determined based on the spray influencing temperature and the real-time temperature data of the spray influencing module before cooling down. According to the updated temperature data, one or more of the spray flow rate and the spray duration in the preset cooling method of the spray influencing module are corrected to obtain the corrected preset cooling method of the spray influencing module.

[0061] In some embodiments of the present application, generating an application evaluation value of the initial cooling method according to the temperature change characteristics, and determining whether to generate a correction instruction for the initial cooling method, includes:

[0062] Pre-set multiple feedback time nodes;

[0063] Obtaining the temperature change characteristics of each monitoring module at the current feedback time node, wherein the temperature change characteristics include the temperature change value, temperature change trend and temperature change rate of the real-time temperature data before and after the initial cooling method;

[0064] Generate a first application coefficient according to the temperature change characteristics of each monitoring module, and generate an application compensation coefficient according to the power generation efficiency change characteristics of each monitoring module at the current feedback time node;

[0065] Generate an application evaluation value of the initial cooling method according to the first application coefficient and the application compensation coefficient;

[0066] Pre-set application evaluation value thresholds;

[0067] When the application evaluation value is less than the application evaluation value threshold, a correction instruction of the initial cooling method is generated;

[0068] When the application evaluation value is greater than the application evaluation value threshold, no correction instruction for the initial temperature reduction method is generated.

[0069] In some embodiments of the present application, a cooling system for a photovoltaic module is also included:

[0070] An acquisition module is used to set multiple monitoring modules of the photovoltaic module, acquire characteristic temperature data of each monitoring module and analyze it, and generate a temperature evaluation value of each monitoring module according to the analysis result;

[0071] A construction module is used to set the monitoring time interval of each monitoring module according to the temperature evaluation value, obtain the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and construct a temperature change curve according to the real-time temperature data;

[0072] A setting module, used to set the cooling level of the corresponding monitoring module according to the temperature change curve, and set the initial cooling method of the corresponding cooling level;

[0073] The correction module is used to obtain the temperature change characteristics fed back by each monitoring module, generate an application evaluation value of the initial cooling method according to the temperature change characteristics, and determine whether to generate a correction instruction for the initial cooling method.

[0074] Compared with the prior art, the cooling method and system for photovoltaic modules in the embodiments of the present application have the following beneficial effects:

[0075] Set multiple monitoring modules and set monitoring time intervals according to the temperature evaluation values ​​of the monitoring modules to improve the accuracy of temperature monitoring of photovoltaic modules. Obtain real-time temperature data of each monitoring module according to the monitoring time interval. Construct a temperature change curve according to the real-time temperature data and set the required cooling level and the corresponding initial cooling method. Calculate the temperature change characteristics after the initial cooling method and generate corresponding correction instructions. Determine the required cooling level for each monitoring module and formulate a reasonable cooling method, improve cooling efficiency and avoid unnecessary waste of water resources, and further improve the power generation efficiency of photovoltaic modules. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a flow chart of a cooling method for a photovoltaic module in a preferred embodiment of the present application;

[0077] Figure 2 It is a schematic diagram of a cooling system for photovoltaic components in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0078] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0079] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0080] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0081] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0082] like Figure 1 As shown, a cooling method for a photovoltaic module in a preferred embodiment of the present application includes:

[0083] Step S101: setting multiple monitoring modules of the photovoltaic module, obtaining and analyzing characteristic temperature data of each monitoring module, and generating a temperature evaluation value of each monitoring module according to the analysis result;

[0084] Step S102: setting a monitoring time interval for each monitoring module according to the temperature evaluation value, acquiring real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and constructing a temperature change curve according to the real-time temperature data;

[0085] Step S103: setting the cooling level of the corresponding monitoring module according to the temperature change curve, and setting the initial cooling method corresponding to the cooling level;

[0086] Step S104: obtaining the temperature change characteristics fed back by each monitoring module, generating an application evaluation value of the initial cooling method according to the temperature change characteristics, and determining whether to generate a correction instruction for the initial cooling method.

[0087] In some embodiments of the present application, the cooling level includes a first cooling level and a second cooling level. When the cooling level is the first cooling level, the working parameters of the control module are set according to the initial cooling method of the first cooling level. When the cooling level is the second cooling level, the working parameters of the spray module are set according to the initial cooling method of the second cooling level.

[0088] The regulating module is arranged on a bracket of the photovoltaic assembly, and is used to regulate the panel rotation angle of the photovoltaic assembly. The spray module is arranged on one side of the panel of the photovoltaic assembly.

[0089] In some embodiments of the present application, a temperature evaluation value of each monitoring module is generated according to the analysis result, including:

[0090] Acquire real-time weather data within a preset period, perform feature extraction on the real-time weather data, obtain characteristic weather data that is strongly correlated with the historical temperature data of the photovoltaic module, and construct a real-time characteristic weather data change curve based on the characteristic weather data within the preset period;

[0091] Obtain historical characteristic weather data within multiple historical preset time periods, and construct multiple historical characteristic weather data change curves;

[0092] Compare the real-time characteristic weather data change curve with multiple historical characteristic weather data change curves to obtain multiple similarities, select the historical characteristic weather data change curve with the greatest similarity to the real-time characteristic weather data change curve, and obtain the historical temperature data of each monitoring module within the next adjacent historical preset period of the selected historical characteristic weather data change curve, and set it as the characteristic temperature data;

[0093] Establish multiple temperature evaluation indicators;

[0094] Extract and evaluate the associated information of the characteristic temperature data of each monitoring module within a historical preset period according to multiple temperature evaluation indicators, and generate a reference evaluation value for each temperature evaluation indicator;

[0095] Generate a temperature evaluation value of characteristic temperature data of a corresponding monitoring module according to reference evaluation values ​​of a plurality of temperature evaluation indicators;

[0096] The calculation formula of the temperature evaluation value is:

[0097]

[0098] Among them, a is the temperature evaluation value, βi is the reference evaluation value of the i-th temperature evaluation index, and bi is the weight coefficient of the i-th temperature evaluation index.

[0099] In this embodiment, characteristic weather data refers to weather data that has a significant impact on the temperature of the photovoltaic module, such as temperature, humidity, wind speed, wind speed, etc. The characteristic temperature data is determined according to the similarity between the real-time characteristic weather data change curve and the historical characteristic weather data change curve in the same historical preset period.

[0100] In this embodiment, the temperature evaluation index includes a temperature stability evaluation index, a temperature change rate evaluation index, a standard temperature evaluation index, etc. The characteristic temperature data is analyzed to obtain the fluctuation degree and change rate of the characteristic temperature data within a preset time period, so as to predict the change trend of the real-time temperature data and set the corresponding monitoring time interval to ensure accurate monitoring of the temperature changes of the photovoltaic components and improve the accuracy and effectiveness of the subsequent cooling method.

[0101] In some embodiments of the present application, the monitoring time interval of each monitoring module is set according to the temperature evaluation value, including:

[0102] Presetting a first preset temperature evaluation value interval, a second preset temperature evaluation value interval, a third preset temperature evaluation value interval and a fourth preset temperature evaluation value interval;

[0103] When the temperature evaluation value of the monitoring module is within the first preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the first preset monitoring time interval;

[0104] When the temperature evaluation value of the monitoring module is within the second preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the second preset monitoring time interval;

[0105] When the temperature evaluation value of the monitoring module is within the third preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the third preset monitoring time interval;

[0106] When the temperature evaluation value of the monitoring module is within the fourth preset temperature evaluation value interval, the monitoring time interval of the corresponding monitoring module is set to the fourth preset monitoring time interval.

[0107] In this embodiment, the first preset temperature evaluation value interval is less than the second preset temperature evaluation value interval, less than the third preset temperature evaluation value interval, and less than the fourth preset temperature evaluation value interval, and the first preset monitoring time interval is less than the second preset monitoring time interval, less than the third preset monitoring time interval, and less than the fourth preset monitoring time interval.

[0108] In this embodiment, when the temperature evaluation value is larger, it means that the reference evaluation value of each temperature evaluation index is larger, that is, the change rate of the characteristic temperature data is lower, the fluctuation degree is smaller, the stability is higher, etc., then the monitoring time interval of the corresponding monitoring module can be appropriately increased, thereby reducing the monitoring cost and data processing volume and improving the monitoring efficiency.

[0109] In some embodiments of the present application, setting the cooling level of the corresponding monitoring module according to the temperature change curve includes:

[0110] Acquire the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and use the preset time period as the time reference line to construct a temperature change curve according to the real-time temperature data collected at the monitoring time interval;

[0111] Subtracting the real-time temperature data collected at each monitoring time interval in the temperature change curve from the standard temperature data to obtain a plurality of first temperature difference values;

[0112] Generate a slope change rate according to the slope of the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve;

[0113] Subtracting the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve to obtain a plurality of second temperature difference values;

[0114] comparing the first temperature difference value with the standard first temperature difference value, and generating a first grade coefficient according to the comparison result;

[0115] The slope change rate is compared with the standard slope change rate, and a second level coefficient is generated according to the comparison result;

[0116] comparing the second temperature difference value with the standard second temperature difference value, and generating a third grade coefficient according to the comparison result;

[0117] Obtain the power generation and power generation efficiency of each monitoring module in the current preset time period, and construct the corresponding power generation change curve and power generation efficiency change curve, and determine the power generation fluctuation value, power generation fluctuation degree, power generation efficiency fluctuation value, and power generation efficiency fluctuation degree according to the power generation change curve and power generation efficiency change curve;

[0118] Generate a first compensation coefficient for the corresponding monitoring module according to the power generation fluctuation value and power generation fluctuation degree of each monitoring module, and generate a second compensation coefficient according to the power generation efficiency fluctuation value and power generation efficiency fluctuation degree of each monitoring module;

[0119] Generate a comprehensive level coefficient according to the first level coefficient, the second level coefficient, the third level coefficient, the first compensation coefficient and the second compensation coefficient of the same monitoring module, and set the cooling level according to the comprehensive level coefficient;

[0120] The calculation formula of the comprehensive grade coefficient is:

[0121]

[0122] Wherein, D is the comprehensive grade coefficient, r1 is the first compensation coefficient, r2 is the second compensation coefficient, t1 is the weight coefficient of the first grade coefficient, n is the total number of monitoring time intervals, Q1i is the real-time temperature data of the i-th monitoring time interval, Q2i is the slope change rate of the i-th adjacent monitoring time interval, Q20 is the standard slope change rate, Q3i is the second temperature difference of the i-th adjacent monitoring time interval, Q30 is the standard second temperature difference, t2 is the weight coefficient of the second grade coefficient, and t3 is the weight coefficient of the third grade coefficient.

[0123] In this embodiment, when the first temperature difference is closer to the standard first temperature difference, the first level coefficient is smaller; when the slope change rate is closer to the standard slope change rate, the second level coefficient is smaller; when the second temperature difference is closer to the standard second temperature difference, the third level coefficient is smaller; when the power generation fluctuation value is small and the fluctuation degree is small, the first compensation coefficient is smaller; when the power generation efficiency fluctuation value is smaller and the fluctuation degree is smaller, the second compensation coefficient is smaller; and vice versa. The value range of the first compensation coefficient and the second compensation coefficient is (1, 1.25).

[0124] In this embodiment, the first temperature difference, the second temperature difference and the slope change rate are determined through the temperature change curve to determine the temperature change degree, change value and stability of each monitoring module, and the comprehensive grade coefficient of the corresponding monitoring module is determined in combination with the power generation efficiency and the fluctuation value and degree of power generation, so as to determine the corresponding cooling grade and a reasonable cooling method, thereby ensuring that the photovoltaic modules are at a normal temperature and improving the power generation efficiency of the photovoltaic modules.

[0125] In some embodiments of the present application, the initial cooling method corresponding to the cooling level is set, including:

[0126] Pre-set comprehensive grade coefficient threshold;

[0127] When the comprehensive level coefficient of the monitoring module is less than the comprehensive level coefficient threshold, the cooling level of the current monitoring module is set to the first level cooling level, and the first comprehensive level coefficient difference is calculated;

[0128] Generate a first-level cooling level sequence H1, H1 (h11, h12, ..., h1j) of the monitoring modules at the first-level cooling level according to the first comprehensive level coefficient difference, wherein h1g is the g-th monitoring module at the first-level cooling level, g = 1, 2, ..., j;

[0129] Determine the preset first-level cooling method of each monitoring module according to the first-level cooling strategy library of each monitoring module, integrate multiple preset first-level cooling methods according to the first-level cooling level sequence, and obtain the initial cooling method of all the monitoring modules of the first-level cooling level;

[0130] When the comprehensive level coefficient of the monitoring module is greater than the comprehensive level coefficient threshold, the cooling level of the monitoring module is set to the secondary cooling level, and the second comprehensive level coefficient difference is calculated;

[0131] Generate a secondary cooling level sequence H2, H2 (h21, h22, ..., h2f) of the monitoring modules at the secondary cooling level according to the second comprehensive level coefficient difference, wherein h2k is the kth monitoring module at the secondary cooling level, k = 1, 2, ..., f;

[0132] Determine the preset secondary cooling method of each monitoring module according to the secondary cooling strategy library of each monitoring module, and determine the spraying influence relationship between the monitoring modules, correct the preset secondary cooling method of the monitoring module involved according to the spraying influence relationship, and obtain the initial cooling method of all the monitoring modules of the secondary cooling level according to the secondary cooling level sequence H2 according to the corrected preset secondary cooling method;

[0133] Among them, the initial cooling method of the monitoring modules of all secondary cooling levels includes the spraying sequence, the spraying flow rate of each monitoring module and the spraying time.

[0134] In this embodiment, the larger the comprehensive level coefficient is, the greater the cooling level required by the corresponding monitoring module. The cooling method required for the first cooling level refers to adjusting the panel rotation angle of the photovoltaic module so that the photovoltaic panel is cooled by obstructions, non-direct angles of the sun or natural wind. The cooling method required for the second cooling level refers to controlling the working parameters of the spray module to spray and cool the corresponding monitoring module.

[0135] In this embodiment, integrating multiple preset first-level cooling methods refers to coordinating and optimizing multiple first-level cooling methods into one cooling method to obtain an initial cooling method for all first-level cooling levels. The initial cooling method refers to a cooling method that meets the cooling requirements of the first-level cooling level monitoring module to the greatest extent and improves the power generation efficiency of the photovoltaic module. The initial cooling method generates control instructions for the control module, so that the first-level cooling level monitoring module can achieve cooling and improve the power generation efficiency of the photovoltaic module.

[0136] In this embodiment, the spraying sequence, spraying flow rate and spraying duration are set for multiple preset secondary cooling methods, and the preset secondary cooling method of the relevant monitoring module is corrected according to the positional relationship of the monitoring module and the spraying flow method, thereby reducing unnecessary spraying energy consumption, ensuring that the temperature of the photovoltaic module is within the normal temperature range, reducing the spraying cost and improving the power generation efficiency of the photovoltaic module.

[0137] In some embodiments of the present application, a primary cooling strategy library of each monitoring module in the primary cooling module is determined, wherein the primary cooling strategy library includes a plurality of preset first comprehensive level coefficient difference values ​​corresponding to the monitoring module, and each preset first comprehensive level coefficient difference value is associated with a specific preset cooling method;

[0138] Compare the first comprehensive level coefficient difference of each monitoring module with several preset first comprehensive level coefficient difference values ​​of the corresponding monitoring module to obtain a first difference value, and set the preset cooling method associated with the preset first comprehensive level coefficient difference value with the smallest first difference value as the preset cooling method of the corresponding monitoring module;

[0139] Determine a secondary cooling strategy library for each monitoring module in the secondary cooling module, wherein the secondary cooling strategy library includes a plurality of preset second comprehensive level coefficient differences corresponding to the monitoring module, and each preset second comprehensive level coefficient difference is associated with a specific preset cooling method;

[0140] The second comprehensive level coefficient difference of each monitoring module is compared with several preset second comprehensive level coefficient differences of the corresponding monitoring module to obtain the second difference, and the preset cooling method associated with the preset second comprehensive level coefficient difference with the smallest second difference is set as the preset cooling method of the corresponding monitoring module.

[0141] In the present embodiment, each preset first comprehensive level coefficient difference is associated with a specific preset cooling method which is set according to the historical first-level cooling log of each monitoring module, and each preset first comprehensive level coefficient difference is associated with a specific preset cooling method which is set according to the historical second-level cooling log of each monitoring module, and the preset cooling methods all meet the requirements that the temperature of the monitoring module after cooling is in the standard temperature range and the power generation efficiency of the monitoring module is in the standard power generation efficiency range, that is, the power generation efficiency of the photovoltaic module is improved under the premise of meeting the temperature cooling of the photovoltaic module.

[0142] In some embodiments of the present application, determining the spray influence relationship between monitoring modules includes:

[0143] Each monitoring module at the second-level cooling level is set as a target monitoring module, and the monitoring modules in the second-level cooling level sequence H2 that are ranked after the target monitoring module are set as modules to be affected by the target monitoring module;

[0144] Determine the spray flow direction of each target monitoring module according to the tilt amplitude of the photovoltaic panel;

[0145] Perform position analysis based on the spray flow direction of each target monitoring module and the module to be affected of the corresponding target monitoring module. If the spray flow direction passes through the module to be affected, the corresponding module to be affected is set as the spray affecting module of the current target monitoring module.

[0146] The spray flow and spray duration of each target monitoring module are used to determine the spray impact duration of the corresponding spray impact module, and the spray impact duration is combined with the spray flow of the corresponding target monitoring module to generate the spray impact temperature of the spray impact module;

[0147] The updated temperature data of the spray influencing module is determined based on the spray influencing temperature and the real-time temperature data of the spray influencing module before cooling down. According to the updated temperature data, one or more of the spray flow rate and the spray duration in the preset cooling method of the spray influencing module are corrected to obtain the corrected preset cooling method of the spray influencing module.

[0148] In this embodiment, the spray influence relationship refers to the relationship in which each monitoring module will affect the remaining monitoring modules that have not been sprayed after spraying. The spray flow or spray parameters of the remaining monitoring modules are continuously corrected according to the spray influence relationship to avoid unnecessary spray waste, thereby reducing spray energy consumption while ensuring that the temperature of the photovoltaic module is within the normal temperature range.

[0149] In some embodiments of the present application, generating an application evaluation value of the initial cooling method according to the temperature change characteristics, and determining whether to generate a correction instruction for the initial cooling method, includes:

[0150] Pre-set multiple feedback time nodes;

[0151] Obtaining the temperature change characteristics of each monitoring module at the current feedback time node, wherein the temperature change characteristics include the temperature change value, temperature change trend and temperature change rate of the real-time temperature data before and after the initial cooling method;

[0152] Generate a first application coefficient according to the temperature change characteristics of each monitoring module, and generate an application compensation coefficient according to the power generation efficiency change characteristics of each monitoring module at the current feedback time node;

[0153] Generate an application evaluation value of the initial cooling method according to the first application coefficient and the application compensation coefficient;

[0154] Pre-set application evaluation value thresholds;

[0155] When the application evaluation value is less than the application evaluation value threshold, a correction instruction of the initial cooling method is generated;

[0156] When the application evaluation value is greater than the application evaluation value threshold, no correction instruction for the initial temperature reduction method is generated.

[0157] In this embodiment, when the temperature change trend is a normal change trend and the real-time temperature data after the initial cooling method is judged according to the temperature change value to be less than the standard temperature data and the temperature change rate is in the standard temperature change rate interval, the larger the first application coefficient is, the smaller the first application coefficient is, the normal change trend is a temperature decrease trend, and the abnormal change trend is a temperature increase trend.

[0158] In this embodiment, the power generation efficiency change characteristics refer to the change value, change trend and change rate of the power generation efficiency before and after the initial cooling method. When the change trend is an upward trend and the change value is in the normal change value range and the change rate is less than the preset change rate threshold, the larger the applied compensation coefficient, the smaller the applied compensation coefficient, and the value range of the applied compensation coefficient is (0.75, 1.25).

[0159] In this embodiment, the application effect of the initial cooling method is judged by applying the evaluation value, and continuous correction and optimization are performed to further ensure the normal temperature of the photovoltaic module and improve the power generation efficiency of the photovoltaic module.

[0160] In some embodiments of the present application, FIG. Figure 2 As shown, a cooling system for photovoltaic components is also included:

[0161] An acquisition module is used to set multiple monitoring modules of the photovoltaic module, acquire characteristic temperature data of each monitoring module and analyze it, and generate a temperature evaluation value of each monitoring module according to the analysis result;

[0162] A construction module is used to set the monitoring time interval of each monitoring module according to the temperature evaluation value, obtain the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and construct a temperature change curve according to the real-time temperature data;

[0163] A setting module, used to set the cooling level of the corresponding monitoring module according to the temperature change curve, and set the initial cooling method of the corresponding cooling level;

[0164] The correction module is used to obtain the temperature change characteristics fed back by each monitoring module, generate an application evaluation value of the initial cooling method according to the temperature change characteristics, and determine whether to generate a correction instruction for the initial cooling method.

[0165] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A cooling method for a photovoltaic module, characterized in that: include: Set multiple monitoring modules of the photovoltaic module, obtain and analyze the characteristic temperature data of each monitoring module, and generate a temperature evaluation value of each monitoring module according to the analysis results; The monitoring time interval of each monitoring module is set according to the temperature evaluation value, the real-time temperature data of the corresponding monitoring module is obtained according to the monitoring time interval, and the temperature change curve is constructed according to the real-time temperature data; Set the cooling level of the corresponding monitoring module according to the temperature change curve, and set the initial cooling method of the corresponding cooling level; The temperature change characteristics fed back by each monitoring module are obtained, an application evaluation value of the initial cooling method is generated according to the temperature change characteristics, and it is determined whether to generate a correction instruction for the initial cooling method.

2. The cooling method for photovoltaic modules according to claim 1, characterized in that: The cooling level includes a first cooling level and a second cooling level. When the cooling level is the first cooling level, the working parameters of the control module are set according to the initial cooling method of the first cooling level. When the cooling level is the second cooling level, the working parameters of the spray module are set according to the initial cooling method of the second cooling level. The regulating module is arranged on a bracket of the photovoltaic assembly, and is used to regulate the panel rotation angle of the photovoltaic assembly. The spray module is arranged on one side of the panel of the photovoltaic assembly.

3. The cooling method for photovoltaic modules according to claim 2, characterized in that: Generate temperature evaluation values ​​for each monitoring module based on the analysis results, including: Acquire real-time weather data within a preset period, perform feature extraction on the real-time weather data, obtain characteristic weather data that is strongly correlated with the historical temperature data of the photovoltaic module, and construct a real-time characteristic weather data change curve based on the characteristic weather data within the preset period; Obtain historical characteristic weather data within multiple historical preset time periods, and construct multiple historical characteristic weather data change curves; Compare the real-time characteristic weather data change curve with multiple historical characteristic weather data change curves to obtain multiple similarities, select the historical characteristic weather data change curve with the greatest similarity to the real-time characteristic weather data change curve, and obtain the historical temperature data of each monitoring module within the next adjacent historical preset period of the selected historical characteristic weather data change curve, and set it as the characteristic temperature data; Establish multiple temperature evaluation indicators; Extract and evaluate the associated information of the characteristic temperature data of each monitoring module within a historical preset period according to multiple temperature evaluation indicators, and generate a reference evaluation value for each temperature evaluation indicator; Generate a temperature evaluation value of characteristic temperature data of a corresponding monitoring module according to reference evaluation values ​​of a plurality of temperature evaluation indicators; The calculation formula of the temperature evaluation value is: Among them, a is the temperature evaluation value, βi is the reference evaluation value of the i-th temperature evaluation index, and bi is the weight coefficient of the i-th temperature evaluation index.

4. The cooling method for photovoltaic modules according to claim 3, characterized in that: The monitoring time interval of each monitoring module is set according to the temperature evaluation value, including: Presetting a first preset temperature evaluation value interval, a second preset temperature evaluation value interval, a third preset temperature evaluation value interval and a fourth preset temperature evaluation value interval; When the temperature evaluation value of the monitoring module is within the first preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the first preset monitoring time interval; When the temperature evaluation value of the monitoring module is within the second preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the second preset monitoring time interval; When the temperature evaluation value of the monitoring module is within the third preset temperature evaluation value interval, setting the monitoring time interval of the corresponding monitoring module to the third preset monitoring time interval; When the temperature evaluation value of the monitoring module is within the fourth preset temperature evaluation value interval, the monitoring time interval of the corresponding monitoring module is set to the fourth preset monitoring time interval.

5. The cooling method for photovoltaic modules according to claim 4, characterized in that: Set the cooling level of the corresponding monitoring module according to the temperature change curve, including: Acquire the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and use the preset time period as the time reference line to construct a temperature change curve according to the real-time temperature data collected at the monitoring time interval; Subtracting the real-time temperature data collected at each monitoring time interval in the temperature change curve from the standard temperature data to obtain a plurality of first temperature difference values; Generate a slope change rate according to the slope of the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve; Subtracting the real-time temperature data collected at adjacent monitoring time intervals in the temperature change curve to obtain a plurality of second temperature difference values; comparing the first temperature difference value with the standard first temperature difference value, and generating a first grade coefficient according to the comparison result; The slope change rate is compared with the standard slope change rate, and a second level coefficient is generated according to the comparison result; comparing the second temperature difference value with the standard second temperature difference value, and generating a third grade coefficient according to the comparison result; Obtain the power generation and power generation efficiency of each monitoring module in the current preset time period, and construct the corresponding power generation change curve and power generation efficiency change curve, and determine the power generation fluctuation value, power generation fluctuation degree, power generation efficiency fluctuation value, and power generation efficiency fluctuation degree according to the power generation change curve and power generation efficiency change curve; Generate a first compensation coefficient for the corresponding monitoring module according to the power generation fluctuation value and power generation fluctuation degree of each monitoring module, and generate a second compensation coefficient according to the power generation efficiency fluctuation value and power generation efficiency fluctuation degree of each monitoring module; Generate a comprehensive level coefficient according to the first level coefficient, the second level coefficient, the third level coefficient, the first compensation coefficient and the second compensation coefficient of the same monitoring module, and set the cooling level according to the comprehensive level coefficient; The calculation formula of the comprehensive grade coefficient is: Wherein, D is the comprehensive grade coefficient, r1 is the first compensation coefficient, r2 is the second compensation coefficient, t1 is the weight coefficient of the first grade coefficient, n is the total number of monitoring time intervals, Q1i is the real-time temperature data of the i-th monitoring time interval, Q2i is the slope change rate of the i-th adjacent monitoring time interval, Q20 is the standard slope change rate, Q3i is the second temperature difference of the i-th adjacent monitoring time interval, Q30 is the standard second temperature difference, t2 is the weight coefficient of the second grade coefficient, and t3 is the weight coefficient of the third grade coefficient.

6. The cooling method for photovoltaic modules according to claim 5, characterized in that: Set the initial cooling method corresponding to the cooling level, including: Pre-set comprehensive grade coefficient threshold; When the comprehensive level coefficient of the monitoring module is less than the comprehensive level coefficient threshold, the cooling level of the current monitoring module is set to the first level cooling level, and the first comprehensive level coefficient difference is calculated; Generate a first-level cooling level sequence H1, H1 (h11, h12, ..., h1j) of the monitoring modules at the first-level cooling level according to the first comprehensive level coefficient difference, wherein h1g is the g-th monitoring module at the first-level cooling level, g = 1, 2, ..., j; Determine the preset first-level cooling method of each monitoring module according to the first-level cooling strategy library of each monitoring module, integrate multiple preset first-level cooling methods according to the first-level cooling level sequence, and obtain the initial cooling method of all the monitoring modules of the first-level cooling level; When the comprehensive level coefficient of the monitoring module is greater than the comprehensive level coefficient threshold, the cooling level of the monitoring module is set to the secondary cooling level, and the second comprehensive level coefficient difference is calculated; Generate a secondary cooling level sequence H2, H2 (h21, h22, ..., h2f) of the monitoring modules at the secondary cooling level according to the second comprehensive level coefficient difference, wherein h2k is the kth monitoring module at the secondary cooling level, k = 1, 2, ..., f; Determine the preset secondary cooling method of each monitoring module according to the secondary cooling strategy library of each monitoring module, and determine the spraying influence relationship between the monitoring modules, correct the preset secondary cooling method of the monitoring module involved according to the spraying influence relationship, and obtain the initial cooling method of all the monitoring modules of the secondary cooling level according to the secondary cooling level sequence H2 according to the corrected preset secondary cooling method; Among them, the initial cooling method of the monitoring modules of all secondary cooling levels includes the spraying sequence, the spraying flow rate of each monitoring module and the spraying time.

7. The cooling method for photovoltaic modules according to claim 6, characterized in that: Determine a primary cooling strategy library for each monitoring module in the primary cooling module, wherein the primary cooling strategy library includes a plurality of preset first comprehensive level coefficient difference values ​​corresponding to the monitoring module, and each preset first comprehensive level coefficient difference value is associated with a specific preset cooling method; Compare the first comprehensive level coefficient difference of each monitoring module with several preset first comprehensive level coefficient difference values ​​of the corresponding monitoring module to obtain a first difference value, and set the preset cooling method associated with the preset first comprehensive level coefficient difference value with the smallest first difference value as the preset cooling method of the corresponding monitoring module; Determine a secondary cooling strategy library for each monitoring module in the secondary cooling module, wherein the secondary cooling strategy library includes a plurality of preset second comprehensive level coefficient differences corresponding to the monitoring module, and each preset second comprehensive level coefficient difference is associated with a specific preset cooling method; The second comprehensive level coefficient difference of each monitoring module is compared with several preset second comprehensive level coefficient differences of the corresponding monitoring module to obtain the second difference, and the preset cooling method associated with the preset second comprehensive level coefficient difference with the smallest second difference is set as the preset cooling method of the corresponding monitoring module.

8. The cooling method for photovoltaic modules according to claim 7, characterized in that: Determine the spray influence relationship between monitoring modules, including: Each monitoring module at the second-level cooling level is set as a target monitoring module, and the monitoring modules in the second-level cooling level sequence H2 that are ranked after the target monitoring module are set as modules to be affected by the target monitoring module; Determine the spray flow direction of each target monitoring module according to the tilt amplitude of the photovoltaic panel; Perform position analysis based on the spray flow direction of each target monitoring module and the module to be affected of the corresponding target monitoring module. If the spray flow direction passes through the module to be affected, the corresponding module to be affected is set as the spray affecting module of the current target monitoring module. The spray flow and spray duration of each target monitoring module are used to determine the spray impact duration of the corresponding spray impact module, and the spray impact duration is combined with the spray flow of the corresponding target monitoring module to generate the spray impact temperature of the spray impact module; The updated temperature data of the spray influencing module is determined based on the spray influencing temperature and the real-time temperature data of the spray influencing module before cooling down. According to the updated temperature data, one or more of the spray flow rate and the spray duration in the preset cooling method of the spray influencing module are corrected to obtain the corrected preset cooling method of the spray influencing module.

9. The cooling method for photovoltaic modules according to claim 8, characterized in that: Generating an application evaluation value of the initial cooling method according to the temperature change characteristics and determining whether to generate a correction instruction for the initial cooling method includes: Pre-set multiple feedback time nodes; Obtaining the temperature change characteristics of each monitoring module at the current feedback time node, wherein the temperature change characteristics include the temperature change value, temperature change trend and temperature change rate of the real-time temperature data before and after the initial cooling method; Generate a first application coefficient according to the temperature change characteristics of each monitoring module, and generate an application compensation coefficient according to the power generation efficiency change characteristics of each monitoring module at the current feedback time node; Generate an application evaluation value of the initial cooling method according to the first application coefficient and the application compensation coefficient; Pre-set application evaluation value threshold; When the application evaluation value is less than the application evaluation value threshold, a correction instruction of the initial cooling method is generated; When the application evaluation value is greater than the application evaluation value threshold, no correction instruction for the initial temperature reduction method is generated.

10. A cooling system for a photovoltaic module, characterized in that: include: An acquisition module is used to set multiple monitoring modules of the photovoltaic module, acquire characteristic temperature data of each monitoring module and analyze it, and generate a temperature evaluation value of each monitoring module according to the analysis result; A construction module is used to set the monitoring time interval of each monitoring module according to the temperature evaluation value, obtain the real-time temperature data of the corresponding monitoring module according to the monitoring time interval, and construct a temperature change curve according to the real-time temperature data; A setting module, used to set the cooling level of the corresponding monitoring module according to the temperature change curve, and set the initial cooling method of the corresponding cooling level; The correction module is used to obtain the temperature change characteristics fed back by each monitoring module, generate an application evaluation value of the initial cooling method according to the temperature change characteristics, and determine whether to generate a correction instruction for the initial cooling method.

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