Temperature control method and system for photovoltaic module

Abstract

The invention discloses a temperature control method and system for a photovoltaic module, and the method comprises the steps: obtaining and analyzing the historical operation parameter data of a cooling device and the historical temperature monitoring data of the photovoltaic module, determining key operation parameters which affect the cooling of the photovoltaic module, and carrying out the further analysis, determining an influence coefficient of the key operation parameters on cooling of the photovoltaic module; acquiring and analyzing temperature monitoring data of the photovoltaic module, and determining a temperature coefficient of the photovoltaic module; comprehensively analyzing the temperature coefficient and the influence coefficient to determine a working correction coefficient of the cooling device; and correcting the current key operation parameters of the cooling device according to the work correction coefficient so as to cool the photovoltaic module. By analyzing the actual performance of the cooling device and the actual temperature of the photovoltaic module, the working correction coefficient is determined to correct the cooling device, the temperature of the photovoltaic module can be effectively and accurately reduced, the power generation efficiency and stability of the photovoltaic module are improved, the service life of the photovoltaic module is prolonged, and meanwhile the maintenance cost of the photovoltaic module is reduced.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic technology, and particularly to a temperature control method and system for photovoltaic modules. Background Art

[0002] Photovoltaic power generation, as a clean energy technology, has been widely applied and promoted globally. The temperature of photovoltaic modules has an important impact on their power generation efficiency and lifespan. Therefore, it is crucial to effectively control the temperature of photovoltaic modules. In a photovoltaic system, as the light intensity increases, photovoltaic modules absorb more solar energy and convert it into electrical energy. However, in the process of absorbing solar energy, photovoltaic modules also generate heat, resulting in an increase in module temperature. High temperature will reduce the power generation efficiency of photovoltaic modules and even damage the modules. Therefore, effective temperature control methods need to be adopted to reduce the module temperature and improve the power generation efficiency and reliability of the system.

[0003] However, traditional methods are usually static and cannot be dynamically adjusted according to real-time environmental conditions and component states, resulting in low control efficiency. Traditional methods usually also lack intelligent control and cannot be intelligently adjusted according to real-time data and algorithms, and cannot adapt to changing environmental conditions. Moreover, some traditional temperature control methods do not consider the actual performance of the cooling device and the actual temperature of the photovoltaic module, and cannot accurately adjust the operating parameters of the cooling device, which will result in a large amount of energy consumption, increase the operating cost of the cooling device, and reduce the energy utilization efficiency of the cooling device. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a temperature control method and system for photovoltaic modules, including: Obtaining historical operating parameter data of the cooling device and historical temperature monitoring data of the photovoltaic module; Analyzing the historical operating parameter data and historical temperature monitoring data to determine the key operating parameters affecting the cooling of the photovoltaic module; Analyzing the key operating parameters to determine the influence coefficient of the key operating parameters on the cooling of the photovoltaic module; Obtaining temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module; Comprehensively analyzing the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the cooling of the photovoltaic module, and determining the working correction coefficient of the cooling device according to the analysis results; Correcting the current key operating parameters of the cooling device according to the working correction coefficient, and controlling the cooling device to cool the photovoltaic module according to the corrected key operating parameters.

[0005] Further, analyzing the historical operation parameter data and historical temperature monitoring data to determine the key operation parameters affecting the temperature reduction of the photovoltaic module, including: Dividing the historical operation parameter data into several operation parameter data groups according to the parameter type, and analyzing the correlation between each operation parameter data group and the historical temperature monitoring data; Selecting the operation parameter data groups with a correlation greater than the preset value as the key operation parameters in the historical operation parameter data that affect the temperature reduction of the photovoltaic module.

[0006] Further, analyzing the key operation parameters to determine the influence coefficient of the key operation parameters on the temperature reduction of the photovoltaic module, including: For each key operation parameter, determining the historical temperature monitoring data of the photovoltaic module when other key operation parameters are the same; Determining the change amount of the historical temperature monitoring data of the corresponding photovoltaic module for each key operation parameter when other key operation parameters are the same, and determining the sub-influence coefficient of each key operation parameter on the temperature reduction of the photovoltaic module according to the change amount; Adding up the sub-influence coefficients of each key operation parameter on the temperature reduction of the photovoltaic module to obtain the influence coefficient of the key operation parameters on the temperature reduction of the photovoltaic module.

[0007] Further, obtaining the temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module, including: Obtaining the temperature monitoring data of the photovoltaic module in the most recent first period of time, and calculating the average value of the temperature monitoring data; Obtaining the preset standard average value, calculating the difference between the average value and the standard average value to obtain the average difference of the photovoltaic module, and evaluating the average difference of the photovoltaic module to obtain the average difference evaluation value of the photovoltaic module; Determining the maximum value and the minimum value in the temperature monitoring data, calculating the difference between the maximum value and the minimum value to obtain the range of the photovoltaic module, and evaluating the range of the photovoltaic module to obtain the range evaluation value of the photovoltaic module; Determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module.

[0008] Further, determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module, including: Determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module. The calculation formula for the temperature coefficient of the photovoltaic module is: T = a * P + b * D, Wherein, T is the temperature coefficient of the photovoltaic module, a is the preset first conversion coefficient, P is the average difference evaluation value of the photovoltaic module, b is the preset second conversion coefficient, and D is the range evaluation value of the photovoltaic module.

[0009] Further, the comprehensive analysis of the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the temperature reduction of the photovoltaic module, and determining the working correction coefficient of the cooling device according to the analysis result, includes: Obtain the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the temperature reduction of the photovoltaic module, and perform weighted addition calculation on the temperature coefficient, the influence coefficient, and the corresponding preset weights to obtain a comprehensive analysis coefficient; Determine the working correction coefficient of the cooling device based on the comprehensive analysis coefficient.

[0010] Further, the determining the working correction coefficient of the cooling device based on the comprehensive analysis coefficient includes: Preset the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient intervals, wherein for each comprehensive analysis coefficient interval in the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient intervals, a corresponding working correction coefficient is associated; Obtain the comprehensive analysis coefficient, and based on the mapping relationship of the comprehensive analysis coefficient interval to which the comprehensive analysis coefficient belongs in the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient intervals, select the working correction coefficient corresponding to the comprehensive analysis coefficient interval as the working correction coefficient corresponding to the cooling device.

[0011] Further, the correcting the current key operating parameters of the cooling device according to the working correction coefficient, and controlling the cooling device to cool the photovoltaic module according to the corrected key operating parameters, includes: Perform multiplication calculation on each parameter in the current key operating parameters of the cooling device according to the working correction coefficient to complete the correction of the current key operating parameters of the cooling device; And control the cooling device to cool the photovoltaic module according to the corrected key operating parameters.

[0012] The present invention also provides a temperature control system for a photovoltaic module, including: An acquisition module, configured to acquire the historical operating parameter data of the cooling device and the historical temperature monitoring data of the photovoltaic module; A first analysis module, configured to analyze the historical operating parameter data and the historical temperature monitoring data to determine the key operating parameters affecting the temperature reduction of the photovoltaic module; A second analysis module, configured to analyze the key operating parameters to determine the influence coefficient of the key operating parameters on the temperature reduction of the photovoltaic module; A third analysis module, configured to obtain temperature monitoring data of a photovoltaic module, analyze the temperature monitoring data, and determine the temperature coefficient of the photovoltaic module; A determination module, configured to comprehensively analyze the temperature coefficient of the photovoltaic module and the influence coefficient of key operating parameters on the temperature reduction of the photovoltaic module, and determine a working correction coefficient of the temperature reduction device according to the analysis result; A control module, configured to correct the current key operating parameters of the temperature reduction device according to the working correction coefficient, and control the temperature reduction device to cool the photovoltaic module according to the corrected key operating parameters.

[0013] Compared with the prior art, the temperature control method and system for a photovoltaic module according to an embodiment of the present invention have the following beneficial effects: By analyzing the actual performance of the temperature reduction device and the actual temperature of the photovoltaic module to determine the working correction coefficient, the present invention automatically corrects the operating parameters of the temperature reduction device, can effectively and accurately reduce the temperature of the photovoltaic module, realizes intelligent control, improves its power generation efficiency and stability, extends its service life, and also reduces its maintenance cost. Description of the Drawings

[0014] Figure 1 is a schematic flow chart of a temperature control method for a photovoltaic module according to an embodiment of the present invention; Figure 2 is a schematic diagram of the composition of a temperature control system for a photovoltaic module according to an embodiment of the present invention. Detailed Embodiments

[0015] The following further describes in detail the specific embodiments of the present application with reference to the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0016] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present application.

[0017] The terms "", "second" are only used for descriptive purposes and cannot be construed as indicating or implying a relative importance coefficient or implicitly indicating the number of the indicated technical features. Thus, the features defined with "", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0018] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" 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 an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0019] As Figure 1 shown, in an embodiment of the present application, a temperature control method for a photovoltaic module is provided, including: S100: obtaining historical operation parameter data of a cooling device and historical temperature monitoring data of the photovoltaic module; S200: analyzing the historical operation parameter data and the historical temperature monitoring data to determine key operation parameters affecting the cooling of the photovoltaic module; S300: analyzing the key operation parameters to determine the influence coefficient of the key operation parameters on the cooling of the photovoltaic module; S400: obtaining the temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module; S500: comprehensively analyzing the temperature coefficient of the photovoltaic module and the influence coefficient of the key operation parameters on the cooling of the photovoltaic module, and determining a working correction coefficient of the cooling device according to the analysis result; S600: correcting the current key operation parameters of the cooling device according to the working correction coefficient, and controlling the cooling device to cool the photovoltaic module according to the corrected key operation parameters.

[0020] Furthermore, the present invention analyzes the actual performance of the cooling device and the actual temperature of the photovoltaic module to determine the working correction coefficient, and automatically corrects the operation parameters of the cooling device, which can effectively and accurately reduce the temperature of the photovoltaic module, realize intelligent control, improve its power generation efficiency and stability, extend its service life, and at the same time reduce its maintenance cost.

[0021] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The analyzing the historical operation parameter data and the historical temperature monitoring data to determine the key operation parameters affecting the cooling of the photovoltaic module includes: dividing the historical operation parameter data into several operation parameter data groups according to the parameter type, and analyzing the correlation between each operation parameter data group and the historical temperature monitoring data; selecting the operation parameter data groups with a correlation greater than a preset value as the key operation parameters in the historical operation parameter data that affect the cooling of the photovoltaic module.

[0022] Specifically, clean and preprocess the historical operation parameter data and temperature monitoring data to ensure the accuracy and integrity of the data; classify the historical operation parameter data according to parameter types to form several groups of operation parameter data, such as voltage, current, light intensity, etc.; through correlation analysis methods (such as correlation coefficient, regression analysis, etc.), analyze the correlation between each group of operation parameter data and the historical temperature monitoring data, and find out the operation parameters most relevant to the temperature change of the photovoltaic module; select the groups of operation parameter data with a correlation greater than a preset value as the key operation parameters affecting the cooling of the photovoltaic module in the historical operation parameter data. This step can determine the key operation parameters affecting the temperature of the photovoltaic module by analyzing the correlation between the historical operation parameter data and the temperature monitoring data, and perform parameter optimization and adjustment targeted; selecting the key operation parameters with a correlation greater than the preset value can more accurately control the working state of the photovoltaic module, improve the cooling effect, reduce the working temperature, thereby improving the power generation efficiency and stability of the photovoltaic system; by optimizing the key operation parameters, unnecessary energy waste can be avoided, the system operation cost can be reduced, energy consumption can be reduced, and the goal of energy conservation and emission reduction can be achieved; accurately controlling the key operation parameters helps to reduce the working temperature of the photovoltaic module, extend the service life of the module, and improve the reliability and stability of the system. In summary, by analyzing and screening the historical operation parameter data and selecting the key operation parameters affecting the cooling of the photovoltaic module, more accurate and efficient temperature control can be achieved, and the overall performance and sustainability of the photovoltaic system can be improved.

[0023] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. Analyzing the key operation parameters to determine the influence coefficient of the key operation parameters on the cooling of the photovoltaic module includes: for each key operation parameter, determining the historical temperature monitoring data of the photovoltaic module when other key operation parameters are the same; determining the change amount of the historical temperature monitoring data corresponding to the photovoltaic module for each key operation parameter when other key operation parameters are the same, and determining the sub-influence coefficient of each key operation parameter on the cooling of the photovoltaic module according to the change amount; adding up the sub-influence coefficients of each key operation parameter on the cooling of the photovoltaic module to obtain the influence coefficient of the key operation parameters on the cooling of the photovoltaic module.

[0024] Specifically, for each key operating parameter, determine the historical temperature monitoring data of the photovoltaic module when other key operating parameters are the same, and form a combination of key operating parameters; for each key operating parameter, calculate the change in the historical temperature monitoring data of the photovoltaic module when other key operating parameters are the same, and determine the influence of each key operating parameter on the temperature of the photovoltaic module; according to the change, determine the sub-influence coefficient of each key operating parameter on the temperature reduction of the photovoltaic module. The sub-influence coefficient represents the degree of influence of each key operating parameter on the temperature change of the photovoltaic module when other key operating parameters remain unchanged; add up the sub-influence coefficients of each key operating parameter to obtain the influence coefficient of the key operating parameter on the temperature reduction of the photovoltaic module. The influence coefficient reflects the comprehensive influence degree of each key operating parameter on the temperature of the photovoltaic module under different conditions. By calculating the influence coefficient of the key operating parameter on the temperature reduction of the photovoltaic module in this step, the influence degree of each parameter on the temperature can be quantified, which helps to better understand the relationship and importance among the parameters; understanding the influence degree of each key operating parameter on the temperature of the photovoltaic module can adjust the parameters targeted, optimize the system control strategy, improve the temperature reduction effect and system performance; calculating the influence coefficient can help determine which parameters have a more prominent influence on the temperature of the photovoltaic module in different situations, so as to more accurately evaluate the influence degree of each parameter; by comprehensively considering the influence coefficients of each parameter, the system can be optimized and adjusted targeted, improve the temperature reduction effect of the photovoltaic module, reduce the temperature fluctuation, and improve the stability and reliability of the system. In summary, by calculating the influence coefficient of the key operating parameter on the temperature reduction of the photovoltaic module, the influence degree of each parameter can be quantified and strong support can be provided for system optimization.

[0025] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The method includes obtaining temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module, including: obtaining the temperature monitoring data of the photovoltaic module in the most recent first period of time and calculating the average value of the temperature monitoring data; obtaining a preset standard average value, calculating the difference between the average value and the standard average value to obtain the average difference of the photovoltaic module, and evaluating the average difference of the photovoltaic module to obtain an average difference evaluation value of the photovoltaic module; determining the maximum value and the minimum value in the temperature monitoring data, calculating the difference between the maximum value and the minimum value to obtain the range of the photovoltaic module, and evaluating the range of the photovoltaic module to obtain a range evaluation value of the photovoltaic module; determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module.

[0026] Specifically, obtain the temperature monitoring data of the photovoltaic module in a recent period of time, calculate the average value of these data, that is, the average temperature; obtain the preset standard average value, and calculate the average difference of the photovoltaic module, that is, the difference between the average temperature and the standard average value; determine the maximum value and the minimum value in the temperature monitoring data, calculate the difference between the two, and obtain the range of the photovoltaic module; evaluate the average difference and the range of the photovoltaic module to obtain the corresponding evaluation value. This evaluation can help judge the stability and consistency of the temperature data of the photovoltaic module; based on the average difference evaluation value and the range evaluation value of the photovoltaic module, determine the temperature coefficient of the photovoltaic module, and the temperature coefficient is used to describe the change trend and fluctuation of the temperature data of the photovoltaic module. Through determining the temperature coefficient in this step, the change law of the temperature data of the photovoltaic module can be better understood, providing an important reference for system optimization and parameter adjustment. To sum up, by calculating and evaluating the average value and the range of the temperature monitoring data of the photovoltaic module, and determining the temperature coefficient, the temperature characteristics and change conditions of the photovoltaic module can be comprehensively understood, providing an important reference and support for system operation and management, and helping to improve the efficiency, reliability and performance of the photovoltaic system.

[0027] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module includes: determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module. The calculation formula for the temperature coefficient of the photovoltaic module is: T = a * P + b * D, where T is the temperature coefficient of the photovoltaic module, a is a preset first conversion coefficient, P is the average difference evaluation value of the photovoltaic module, b is a preset second conversion coefficient, and D is the range evaluation value of the photovoltaic module.

[0028] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The comprehensively analyzing the influence coefficients of the temperature coefficient and the key operating parameters of the photovoltaic module on the temperature reduction of the photovoltaic module, and determining the working correction coefficient of the cooling device according to the analysis result includes: obtaining the temperature coefficient of the photovoltaic module and the influence coefficients of the key operating parameters on the temperature reduction of the photovoltaic module, and performing weighted addition calculation on the temperature coefficient, the influence coefficients and the corresponding preset weights to obtain a comprehensive analysis coefficient; determining the working correction coefficient of the cooling device based on the comprehensive analysis coefficient.

[0029] Specifically, the temperature coefficient of the photovoltaic module and the influence coefficient of key operating parameters on the cooling of the photovoltaic module are obtained. The temperature coefficient describes the characteristics of the temperature change of the photovoltaic module, and the influence coefficient describes the degree of influence of each parameter on the cooling of the photovoltaic module. The temperature coefficient and the influence coefficient are weighted and added according to a preset weight to obtain a comprehensive analysis coefficient, which determines the importance of each factor and comprehensively evaluates the temperature characteristics and cooling effect of the photovoltaic module. Based on the comprehensive analysis coefficient, the working correction coefficient of the cooling device is determined. The working correction coefficient is used to adjust the working state and parameters of the cooling device to achieve better cooling effect and system performance. By calculating the comprehensive analysis coefficient through weighted addition in this step, the temperature characteristics, influencing factors and their importance can be comprehensively considered, providing a comprehensive evaluation for the cooling effect of the photovoltaic module. Determining the working correction coefficient based on the comprehensive analysis coefficient can adjust the working state of the cooling device according to the system requirements and performance goals, optimize the system operation effect and energy utilization efficiency. The setting of the working correction coefficient can help achieve precise control of the cooling device, improve the response speed and stability of the system to temperature changes, and ensure the normal operation of the photovoltaic system. By reasonably setting the working correction coefficient, the cooling effect of the photovoltaic module can be improved, temperature fluctuations can be reduced, the equipment life can be extended, and the system performance and reliability can be enhanced. In summary, by comprehensively considering the temperature coefficient, the influence coefficient and the preset weight, and determining the working correction coefficient of the cooling device, the cooling effect of the photovoltaic system can be optimized, the system performance and stability can be improved, providing important support for the technological development and application in the field of clean energy.

[0030] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The determining the working correction coefficient of the cooling device based on the comprehensive analysis coefficient includes: presetting the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient interval in advance, where for each comprehensive analysis coefficient interval in the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient interval, a corresponding working correction coefficient is associated; obtaining the comprehensive analysis coefficient, and based on the mapping relationship of the comprehensive analysis coefficient interval to which the comprehensive analysis coefficient belongs in the corresponding relationship between the working correction coefficient - comprehensive analysis coefficient interval, selecting the working correction coefficient corresponding to the comprehensive analysis coefficient interval as the working correction coefficient corresponding to the cooling device.

[0031] Specifically, according to the corresponding relationship between the working correction coefficient and the comprehensive analysis coefficient interval, a corresponding range of working correction coefficients is specified for each comprehensive analysis coefficient interval; the comprehensive analysis coefficient of the cooling device is obtained, and according to the comprehensive analysis coefficient interval to which the comprehensive analysis coefficient belongs, the corresponding working correction coefficient is found within the corresponding relationship between the working correction coefficient and the comprehensive analysis coefficient interval; according to the working correction coefficient corresponding to the interval where the comprehensive analysis coefficient is located, this working correction coefficient is selected as the working correction coefficient of the cooling device, which is used to adjust the operating state and parameters of the cooling device. Through the pre-set interval corresponding relationship and mapping relationship, this step can accurately select an appropriate working correction coefficient according to the comprehensive analysis coefficient of the cooling device, realizing the precise adjustment of the operating state of the cooling device; establishing the corresponding relationship between the working correction coefficient and the comprehensive analysis coefficient interval can realize the automatic selection of the working correction coefficient of the cooling device, improving the automation degree and efficiency of the system operation; selecting an appropriate working correction coefficient can optimize the operating performance of the cooling device, improve the cooling effect, reduce energy consumption, extend the equipment life, and thus improve the overall performance of the system; timely adjusting the working correction coefficient according to the change of the comprehensive analysis coefficient can make the cooling device more flexible in responding to different working conditions and environmental changes, ensuring its stable operation. In summary, by setting the corresponding relationship between the working correction coefficient and the comprehensive analysis coefficient interval and selecting an appropriate working correction coefficient, the intelligent adjustment and optimization of the operating state of the cooling device can be realized, improving the system performance and efficiency, and providing important technical support for the operation and maintenance of the clean energy system.

[0032] In an embodiment of the present application, a temperature control method for a photovoltaic module is provided. The method corrects the current key operating parameters of the cooling device according to the working correction coefficient, and controls the cooling device to cool the photovoltaic module according to the corrected key operating parameters, including: performing a multiplication calculation on each of the current key operating parameters of the cooling device according to the working correction coefficient to complete the correction of the current key operating parameters of the cooling device; and controlling the cooling device to cool the photovoltaic module according to the corrected key operating parameters.

[0033] Specifically, according to the given working correction coefficient, each of the current key operating parameters of the cooling device is multiplied by the working correction coefficient to obtain the corrected key operating parameters. This step adjusts the key operating parameters according to the magnitude of the working correction coefficient to achieve a better cooling effect. According to the corrected key operating parameters, the cooling device is controlled to cool the photovoltaic module. The cooling device can effectively control the temperature of the photovoltaic module and improve the system performance and efficiency by adjusting working parameters, operating states, etc. This step corrects the key operating parameters through the working correction coefficient, which can customize the parameters of the cooling device according to the actual situation and requirements, making it better adapt to different working environments and requirements. The corrected key operating parameters can help achieve precise control of the cooling device, enabling it to accurately cool the photovoltaic module, improve the system stability and performance. By correcting the key operating parameters, the operating state of the cooling device can be optimized, the cooling effect can be improved, the temperature fluctuation of the photovoltaic module can be reduced, the equipment life can be extended, and the overall performance of the system can be enhanced. According to the corrected key operating parameters, the cooling device can achieve automated operation and adjust according to real-time situations and requirements, improving the intelligent level and operating efficiency of the system. In summary, by correcting the key operating parameters through the working correction coefficient and then controlling the cooling device to cool the photovoltaic module, refined management and optimized control of the photovoltaic system can be achieved, improving the system performance and efficiency, extending the equipment life, and bringing important technical support and innovation to the operation and maintenance of clean energy power generation systems.

[0034] As Figure 2 shown, in an embodiment of the present application, a temperature control system for a photovoltaic module is provided, including: an acquisition module for acquiring historical operating parameter data of the cooling device and historical temperature monitoring data of the photovoltaic module; a first analysis module for analyzing the historical operating parameter data and the historical temperature monitoring data to determine key operating parameters affecting the cooling of the photovoltaic module; a second analysis module for analyzing the key operating parameters to determine the influence coefficient of the key operating parameters on the cooling of the photovoltaic module; a third analysis module for acquiring the temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module; a determination module for comprehensively analyzing the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the cooling of the photovoltaic module, and determining the working correction coefficient of the cooling device according to the analysis result; a control module for correcting the current key operating parameters of the cooling device according to the working correction coefficient and controlling the cooling device to cool the photovoltaic module according to the corrected key operating parameters.

[0035] In summary, the embodiments of the present invention provide a temperature control method and system for a photovoltaic module, which include: acquiring and analyzing the historical operation parameter data of the cooling device and the historical temperature monitoring data of the photovoltaic module, determining the key operation parameters affecting the cooling of the photovoltaic module, and further analyzing to determine the influence coefficient of the key operation parameters on the cooling of the photovoltaic module; acquiring and analyzing the temperature monitoring data of the photovoltaic module to determine the temperature coefficient of the photovoltaic module; comprehensively analyzing the temperature coefficient and the influence coefficient to determine the working correction coefficient of the cooling device; and correcting the current key operation parameters of the cooling device according to the working correction coefficient to cool the photovoltaic module. By analyzing the actual performance of the cooling device and the actual temperature of the photovoltaic module to determine the working correction coefficient for correcting the cooling device, the present invention can effectively and accurately reduce the temperature of the photovoltaic module, improve its power generation efficiency and stability, extend its service life, and at the same time reduce its maintenance cost.

[0036] Finally, it should be noted that: Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

[0037] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not deviate from the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiments and will not be repeated here.

[0038] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article, or device / platform comprising a series of elements not only includes those elements but also includes other elements not explicitly listed, or also includes elements inherent in these processes, platforms, articles, or devices / platforms.

[0039] So far, the technical solutions of the present invention have been described in combination with the further embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0040] The above is only the preferred embodiment of the present invention and is not used to limit the protection scope of the present invention.

Claims

1. A temperature control method for a photovoltaic module, characterized in that: include: Obtain historical operating parameter data of cooling devices and historical temperature monitoring data of photovoltaic modules; Analyze historical operating parameter data and historical temperature monitoring data to determine the key operating parameters that affect the cooling of photovoltaic modules; Analyze key operating parameters and determine their influence coefficients on the cooling of photovoltaic modules; Obtain temperature monitoring data of photovoltaic modules, analyze the temperature monitoring data, and determine the temperature coefficient of photovoltaic modules; Conduct a comprehensive analysis of the temperature coefficient of the photovoltaic module and the influence of key operating parameters on the cooling of the photovoltaic module, and determine the working correction coefficient of the cooling device based on the analysis results; The current key operating parameters of the cooling device are corrected according to the working correction coefficient, and the cooling device is controlled to cool the photovoltaic components according to the corrected key operating parameters.

2. A temperature control method for a photovoltaic module according to claim 1, characterized in that: The analysis of historical operating parameter data and historical temperature monitoring data to determine key operating parameters that affect the cooling of photovoltaic modules includes: Divide the historical operating parameter data into several operating parameter data groups according to parameter type, and analyze the correlation between each operating parameter data group and the historical temperature monitoring data; The operating parameter data group with a correlation greater than a preset value is selected as the key operating parameter affecting the cooling of the photovoltaic module in the historical operating parameter data.

3. A temperature control method for a photovoltaic module according to claim 2, characterized in that: The analysis of the key operating parameters to determine the influence coefficient of the key operating parameters on the cooling of the photovoltaic components includes: For each key operating parameter, determine the historical temperature monitoring data of the PV module when other key operating parameters are the same; Determine the change amount of each key operating parameter corresponding to the historical temperature monitoring data of the photovoltaic module when other key operating parameters are the same, and determine the sub-influence coefficient of each key operating parameter on the cooling of the photovoltaic module based on the change amount; The sub-influence coefficients of each key operating parameter on the cooling of the photovoltaic module are added together to obtain the influence coefficients of the key operating parameters on the cooling of the photovoltaic module.

4. A temperature control method for a photovoltaic module according to claim 3, characterized in that: The step of obtaining the temperature monitoring data of the photovoltaic module and analyzing the temperature monitoring data to determine the temperature coefficient of the photovoltaic module includes: Obtain the temperature monitoring data of the photovoltaic module in the most recent period of time, and calculate the average value of the temperature monitoring data; Obtaining a preset standard average value, calculating the difference between the average value and the standard average value, obtaining the average difference of the photovoltaic modules, and evaluating the average difference of the photovoltaic modules to obtain an evaluation value of the average difference of the photovoltaic modules; Determine the maximum value and the minimum value in the temperature monitoring data, calculate the difference between the maximum value and the minimum value, obtain the range of the photovoltaic module, and evaluate the range of the photovoltaic module to obtain the range evaluation value of the photovoltaic module; The temperature coefficient of the photovoltaic module is determined based on the average difference evaluation value and the range evaluation value of the photovoltaic module.

5. A temperature control method for a photovoltaic module according to claim 4, characterized in that: The method of determining the temperature coefficient of the photovoltaic module based on the average difference evaluation value and the range evaluation value of the photovoltaic module includes: The temperature coefficient of the photovoltaic module is determined based on the average difference evaluation value and the range evaluation value of the photovoltaic module. The calculation formula of the temperature coefficient of the photovoltaic module is: T=a*P+b*D, Wherein, T is the temperature coefficient of the photovoltaic module, a is the preset first conversion coefficient, P is the average difference evaluation value of the photovoltaic module, b is the preset second conversion coefficient, and D is the extreme difference evaluation value of the photovoltaic module.

6. A temperature control method for a photovoltaic module according to claim 4, characterized in that: The comprehensive analysis of the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the cooling of the photovoltaic module, and determining the working correction coefficient of the cooling device according to the analysis results, includes: Obtain the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the cooling of the photovoltaic module, and perform weighted addition calculation on the temperature coefficient and the influence coefficient and the corresponding preset weights to obtain a comprehensive analysis coefficient; Determine the working correction coefficient of the cooling device based on the comprehensive analysis coefficient.

7. A temperature control method for a photovoltaic module according to claim 6, characterized in that: The method of determining the working correction coefficient of the cooling device based on the comprehensive analysis coefficient includes: Presetting a corresponding relationship between a working correction coefficient and a comprehensive analysis coefficient interval, wherein the corresponding relationship between a working correction coefficient and a comprehensive analysis coefficient interval is associated with a corresponding working correction coefficient for each comprehensive analysis coefficient interval; A comprehensive analysis coefficient is obtained, and based on the mapping relationship between the comprehensive analysis coefficient interval to which the comprehensive analysis coefficient belongs and the corresponding relationship between the working correction coefficient and the comprehensive analysis coefficient interval, the working correction coefficient corresponding to the comprehensive analysis coefficient interval is selected as the working correction coefficient corresponding to the cooling device.

8. A temperature control method for a photovoltaic module according to claim 6, characterized in that: The method of correcting the current key operating parameters of the cooling device according to the working correction coefficient, and controlling the cooling device to cool the photovoltaic module according to the corrected key operating parameters, includes: Multiply each parameter of the current key operating parameters of the cooling device according to the working correction coefficient to complete the correction of the current key operating parameters of the cooling device; And according to the corrected key operating parameters, the cooling device is controlled to cool the photovoltaic components.

9. A temperature control system for a photovoltaic module, characterized in that: include: An acquisition module is used to acquire historical operating parameter data of the cooling device and historical temperature monitoring data of the photovoltaic module; The first analysis module is used to analyze the historical operating parameter data and the historical temperature monitoring data to determine the key operating parameters that affect the cooling of the photovoltaic components; The second analysis module is used to analyze the key operating parameters and determine the influence coefficient of the key operating parameters on the cooling of the photovoltaic components; The third analysis module is used to obtain the temperature monitoring data of the photovoltaic module, analyze the temperature monitoring data, and determine the temperature coefficient of the photovoltaic module; A determination module is used to comprehensively analyze the temperature coefficient of the photovoltaic module and the influence coefficient of the key operating parameters on the cooling of the photovoltaic module, and determine the working correction coefficient of the cooling device according to the analysis results; The control module is used to correct the current key operating parameters of the cooling device according to the working correction coefficient, and control the cooling device to cool the photovoltaic components according to the corrected key operating parameters.

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