A method and system for evaluating the performance of photovoltaic system components

Abstract

The present invention discloses a method and system for evaluating the performance of photovoltaic system components, relating to the technical field of photovoltaic component evaluation. The system realizes intelligent fault diagnosis and maintenance by dynamically adjusting the power module and the comprehensive evaluation module. Specifically, the spectral power output calculation unit, the actual output power calculation unit, and the output power evaluation unit in the dynamic adjustment power module can calculate the spectral power output Pout(g) and the actual output power Pout(adj) of the component based on the performance data, and judge the working state of the photovoltaic component through a preset power threshold F1. When the actual output power is lower than the threshold, the system will automatically trigger the dynamic adjustment mechanism. The comprehensive evaluation module conducts a comprehensive performance evaluation based on the photoelectric response adjustment power Pout(f) and the photovoltaic performance coefficient Powx, compares with the preset photovoltaic performance threshold X to judge the operating state of the component, and generates maintenance information.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic module evaluation, and specifically to a method and system for evaluating the performance of photovoltaic system components. Background Art

[0002] As a green and renewable energy technology, photovoltaic technology is widely used in the field of solar power generation, and its core is to convert sunlight into electricity. With the increasing global attention to environmental protection and sustainable energy, photovoltaic power generation systems, as an important clean energy solution, have been widely promoted and applied. In the specific application of photovoltaic technology, photovoltaic modules, as the key components of the system, their performance directly affects the efficiency and economy of the entire photovoltaic power generation system. Therefore, the performance evaluation of photovoltaic modules has become an important task in the design, operation, and maintenance of photovoltaic systems.

[0003] Due to the limitations of traditional evaluation methods at the present stage, the performance of photovoltaic modules may be underestimated or overestimated during actual operation, thus affecting the power generation efficiency of the overall photovoltaic system. For example, failure to consider the dynamic changes in light angle and spectral response may lead to inaccurate evaluation results, and the lack of dynamic adjustment of the environmental temperature will cause the efficiency of photovoltaic modules to decrease at high temperatures but cannot be adjusted in a timely manner. These factors will all lead to the phenomenon of performance degradation in the long-term operation of the photovoltaic system. In addition, an evaluation system lacking a dynamic adjustment function is not easy to cope with the changes in the actual working environment, which may cause photovoltaic modules to not operate in the best state, thereby affecting the economic benefits and sustainability of the system. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a method and system for evaluating the performance of photovoltaic system components, which solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: including a photovoltaic data acquisition module, a performance feature extraction module, a dynamic power adjustment module, a photovoltaic performance analysis module, and a comprehensive evaluation module;

[0006] The photovoltaic data acquisition module is used to install an integrated sensor group around the photovoltaic system components, collect photovoltaic component data on the performance data of the photovoltaic system components in real time, and preprocess the collected performance data;

[0007] The performance feature extraction module is used to extract features from the preprocessed photovoltaic component data to obtain a photovoltaic performance feature set;

[0008] The dynamic power adjustment module is used to calculate and obtain the component output power Pout(g) according to the photovoltaic performance feature set, perform associated calculations to obtain the adjusted actual output power Pout(adj) of the component, and preset a power threshold F1 for comparison and evaluation to analyze the power output situation of the photovoltaic system components;

[0009] The photovoltaic performance analysis module is used to analyze and calculate the dynamic temperature adjustment power Pout(w) according to the adjusted component output power Pout(adj) in combination with the photovoltaic performance feature set, and further calculate to obtain the optoelectronic response adjustment power Pout(f) of the final photovoltaic component output power;

[0010] The comprehensive evaluation module is used to calculate and obtain the photovoltaic performance coefficient Powx according to the obtained optoelectronic response adjustment power Pout(f), and preset a photovoltaic performance threshold X for comparison and evaluation.

[0011] Preferably, the photovoltaic data acquisition module includes a photovoltaic data acquisition unit and a data preprocessing unit;

[0012] The photovoltaic data acquisition unit is used to install an integrated sensor group around the sensor to collect performance data in real time. The integrated sensor group includes a spectrometer, a spectral transmittance measuring instrument, a dirt detector, a temperature sensor, a rangefinder, and a time recorder;

[0013] The performance data includes the light wavelength g, the length C of the photovoltaic component, the width K of the photovoltaic component, the dirt coefficient Wg on the surface of the photovoltaic panel, the light intensity G, the light incident angle θ, and the ambient temperature T;

[0014] The data preprocessing unit is used to perform preliminary cleaning on the obtained photovoltaic component data, correct missing values and delete outliers, normalize data with different dimensions, and then standardize the data to eliminate the influence of dimensions between different parameters.

[0015] Preferably, the performance feature extraction module is used to analyze the response ability of the photovoltaic component at different wavelengths g according to the light wavelength g in the performance data to obtain the spectral response curve R(g), then summarize and calculate G·cos(θ) for the light intensity G and the light incident angle θ, extract the angular dependence G(θ) of the light intensity, and obtain the spectral transmittance E(g) of the component by recording the transmittance through the photovoltaic panel at different light wavelengths g. Measure the output power of the photovoltaic component at different ambient temperatures T, calculate and obtain the dynamic temperature coefficient β(T), and then summarize the spectral response curve R(g), the angular dependence G(θ) of the light intensity, the spectral transmittance E(g), and the dynamic temperature coefficient β(T) to generate a performance data set.

[0016] Preferably, the dynamic power adjustment module includes a spectral power output calculation unit, an actual output power calculation unit, and an output power evaluation unit;

[0017] The spectral power output calculation unit is used to calculate and obtain the component output power Pout(g) based on the extracted performance data set;

[0018] The component output power Pout(g) is obtained through the following algorithm formula:

[0019]

[0020] In the formula, I(g) represents the incident wavelength intensity, A represents the area of the photovoltaic module, g1 and g2 respectively represent the lower and upper limits of the light wavelength, dg represents the differential element of the wavelength variable g, and represents the process of accumulating the function over the photovoltaic wavelength g.

[0021] Preferably, the actual output power calculation unit is used to calculate and obtain the actual output power Pout(adj) of the component by associating with the angle dependence G(θ) of the light intensity and the photovoltaic panel surface dirt coefficient Wg based on the obtained component output power Pout(g);

[0022] The actual output power Pout(adj) is obtained through the following algorithm formula:

[0023] Pout(adj) = Pout(g)·G(θ)·(1 - Wg);

[0024] The output power evaluation unit is used to construct a power threshold F1 based on the normal output index of the actual output power of the photovoltaic module, and then compare and evaluate it with the obtained actual output power Pout(adj) to analyze the actual output power situation of the photovoltaic module;

[0025] The specific evaluation scheme is as follows:

[0026] When the actual output power Pout(adj) ≥ power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic module are normal and can make full use of solar energy;

[0027] When the actual output power Pout(adj) < power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic module are abnormal, and dynamic adjustment is performed at this time.

[0028] Preferably, the photovoltaic performance analysis module includes a dynamic temperature adjustment unit, a non-linear optoelectronic response adjustment unit, and a comprehensive performance analysis unit;

[0029] The dynamic temperature adjustment unit is used to perform associated calculations to obtain the dynamic temperature adjustment power Pout(w) based on the actual output power Pout(adj) of the current photovoltaic module, in combination with the dynamic temperature coefficient β(T) and the ambient temperature T;

[0030] The dynamic temperature adjustment power Pout(w) is obtained through the following algorithm formula:

[0031] Pout(w) = Pout(adj)·(1 - β(T)·(T - T ref ));

[0032] In the formula, T ref represents the ambient reference temperature. This adjustment factor takes into account the influence of the ambient temperature on the performance of the photovoltaic module. High temperatures usually reduce the efficiency of the photovoltaic module. Therefore, temperature adjustment of the power is required. The dynamic temperature coefficient β(T) describes the degree of influence of temperature on the module performance.

[0033] Preferably, the non-linear optoelectronic response adjustment unit is used to perform associated calculations to obtain the optoelectronic response adjustment power Pout(f) based on the dynamic temperature adjustment power Pout(w), further in combination with the angular dependence G(θ) of the light intensity;

[0034] The optoelectronic response adjustment power Pout(f) is obtained through the following algorithm formula:

[0035]

[0036] In the formula, γ represents the non-linear optoelectronic response coefficient, and G ref represents the reference light intensity. This adjustment factor takes into account the non-linear optoelectronic response phenomenon of the light intensity. The response of the photovoltaic module to the light intensity is not linear, and the efficiency change at different light intensities may be caused by the design characteristics of the photovoltaic module. Therefore, the non-linear optoelectronic response coefficient γ is used to adjust the actual influence of the light intensity on the output power of the photovoltaic module.

[0037] Preferably, the comprehensive performance analysis unit is used to perform comprehensive calculations to obtain the photovoltaic performance coefficient Powx based on the obtained optoelectronic response adjustment power Pout(f), in combination with the area A of the photovoltaic module and the reference light intensity G ref , and comprehensively analyze the performance of the photovoltaic system components after readjustment;

[0038] The photovoltaic performance coefficient Powx is obtained through the following algorithm formula:

[0039]

[0040] Preferably, the comprehensive evaluation module compares and evaluates the performance status of the adjusted photovoltaic module by comparing the preset photovoltaic performance threshold X with the obtained photovoltaic performance coefficient Powx through the normal value of the photovoltaic module system performance;

[0041] The specific evaluation scheme is as follows:

[0042] When the photovoltaic performance coefficient Powx ≥ the photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic module system is normal after readjustment;

[0043] When the photovoltaic performance coefficient Powx < the photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic module system is abnormal after readjustment. Insufficient light intensity, poor light angle, or too high ambient temperature cause the photovoltaic module to operate in a non-optimal state. There are dirt, obstacles, or other factors affecting light reception on the surface of the photovoltaic module. At this time, maintenance information is generated to remind relevant staff to maintain the photovoltaic module.

[0044] A method for evaluating the performance of a photovoltaic system module includes the following steps:

[0045] S1. First, install an integrated sensor group around the photovoltaic system module to collect the performance data of the photovoltaic system module in real time and preprocess the collected performance data;

[0046] S2. Then extract the features of the preprocessed photovoltaic module data to extract the performance feature set of the photovoltaic system module in real time;

[0047] S3. Then calculate the component output power Pout(g) according to the photovoltaic performance feature set, perform related calculations to obtain the actual output power Pout(adj) of the adjusted component, and preset a power threshold F1 for comparative evaluation;

[0048] S4. According to the adjusted component output power Pout(adj), combined with the photovoltaic performance feature set, analyze and calculate to obtain the dynamic temperature adjustment power Pout(w), and at the same time further calculate to obtain the optoelectronic response adjustment power Pout(f);

[0049] S5. Finally, calculate the photovoltaic performance coefficient Powx according to the obtained optoelectronic response adjustment power Pout(f) and preset a photovoltaic performance threshold X for comparative evaluation.

[0050] The present invention provides a method and a system for evaluating the performance of a photovoltaic system module. It has the following beneficial effects:

[0051] (1) Through multi-level data collection and analysis, this system can achieve a comprehensive assessment and dynamic optimization of the performance of photovoltaic modules. Specifically, this system includes a photovoltaic data collection module and a performance feature extraction module, which collect performance data in real time through an integrated sensor group. Then, a data preprocessing unit is used to clean, correct, and standardize these data to generate a photovoltaic performance dataset. Next, the performance feature extraction module analyzes these data to form and extract a detailed performance feature set. This systematic data collection and analysis can more accurately evaluate the actual performance of photovoltaic modules and provide a reliable basis for dynamically adjusting the power module, thereby optimizing the output power Pout(adj) of photovoltaic modules and ultimately achieving an improvement in the light energy conversion efficiency.

[0052] (2) This system realizes intelligent fault diagnosis and maintenance through a dynamic power adjustment module and a comprehensive evaluation module. Specifically, the spectral power output calculation unit, actual output power calculation unit, and output power evaluation unit in the dynamic power adjustment module can calculate the spectral power output Pout(g) and actual output power Pout(adj) of the module based on performance data. The system also sets a power threshold F1 to judge the working state of the photovoltaic module. When the actual output power is lower than the threshold F1, the system will automatically trigger a dynamic adjustment mechanism to maintain the optimal working state of the photovoltaic module. At the same time, the comprehensive evaluation module conducts a comprehensive performance evaluation based on the optoelectronic response adjustment power Pout(f) and the photovoltaic performance coefficient Powx, compares with the preset photovoltaic performance threshold X to judge the operating state of the module, and generates maintenance information.

[0053] (3) This system realizes data-based performance optimization through a dynamic temperature adjustment unit, a non-linear optoelectronic response adjustment unit, and a comprehensive performance analysis unit in the photovoltaic performance analysis module. The system uses the dynamic temperature adjustment unit to dynamically adjust the output power of the photovoltaic module according to the ambient temperature T and the dynamic temperature coefficient β(T), and calculates the dynamic temperature adjustment power Pout(w). Subsequently, the non-linear optoelectronic response adjustment unit further adjusts the optoelectronic response adjustment power Pout(f) according to the angular dependence of the light intensity. Finally, the comprehensive performance analysis unit combines the adjusted power data with the area A of the photovoltaic module and the reference light intensity G ref to calculate the photovoltaic performance coefficient Powx and conduct a comprehensive analysis of the system performance. Description of the Drawings

[0054] Figure 1 is a schematic flow chart of a performance evaluation system for a photovoltaic system component of the present invention;

[0055] Figure 2 is a schematic diagram of the steps of a performance evaluation method for a photovoltaic system component of the present invention. Detailed Embodiments

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] Embodiment 1

[0058] Please refer to Figure 1 , the present invention provides a photovoltaic system component performance evaluation system. To achieve the above objectives, the present invention is realized through the following technical solutions: including a photovoltaic data acquisition module, a performance feature extraction module, a dynamic power adjustment module, a photovoltaic performance analysis module, and a comprehensive evaluation module;

[0059] The photovoltaic data acquisition module is used to install an integrated sensor group around the photovoltaic system components, collect the performance data of the photovoltaic system components in real time, and preprocess the collected performance data;

[0060] The performance feature extraction module is used to extract features from the preprocessed photovoltaic component data to obtain a photovoltaic performance feature set;

[0061] The dynamic power adjustment module is used to calculate the component output power Pout(g) according to the photovoltaic performance feature set, perform related calculations to obtain the adjusted actual output power Pout(adj) of the component, and preset a power threshold F1 for comparison and evaluation to analyze the power output situation of the photovoltaic system components;

[0062] The photovoltaic performance analysis module is used to calculate the dynamic temperature adjustment power Pout(w) according to the adjusted component output power Pout(adj) in combination with the photovoltaic performance feature set, and further calculate to obtain the photoelectric response adjustment power Pout(f) of the final photovoltaic component output power;

[0063] The comprehensive evaluation module is used to calculate the photovoltaic performance coefficient Powx according to the obtained photoelectric response adjustment power Pout(f), and preset a photovoltaic performance threshold X for comparison and evaluation.

[0064] In this embodiment, the system collects the performance data of the components in real time through the photovoltaic data acquisition module by arranging a sensor group around the photovoltaic components, and preprocesses this data, laying a solid foundation for subsequent performance analysis and adjustment. This method of real-time data acquisition and preprocessing can provide more comprehensive and accurate photovoltaic component performance information compared with traditional regular data inspection and simple data processing means, ensuring the effectiveness of subsequent analysis and adjustment. Secondly, the performance feature extraction module deeply analyzes the preprocessed data, extracts the performance features of the photovoltaic components, and uses them to dynamically adjust the power module for precise power adjustment. Through the optimization of this module, the system can calculate the output power Pout(g) of the component based on the photovoltaic performance feature set, and compare and evaluate it according to the set power threshold F1, so as to dynamically adjust the actual output power Pout(adj). This method based on real-time data and dynamic adjustment greatly improves the adaptability and efficiency of the photovoltaic system compared with static adjustment means. Finally, the combination of the photovoltaic performance analysis module and the comprehensive evaluation module further calculates the power Pout(w) adjusted by dynamic temperature and the power Pout(f) adjusted by photoelectric response, evaluates the photovoltaic performance coefficient Powx, and compares it with the performance threshold X to comprehensively analyze the comprehensive performance of the photovoltaic system. This method not only improves the comprehensive evaluation ability of the photovoltaic system performance, but also realizes performance optimization in the actual application of photovoltaic components. Compared with the prior art, this multi-level and dynamic performance evaluation and adjustment means makes the photovoltaic system more efficient and adaptable, improving the power generation capacity and stability of the overall system. Through the organic combination of the above five modules, this framework not only realizes technological innovation in the performance monitoring and adjustment of photovoltaic components, but also makes remarkable progress in system efficiency and performance evaluation. Compared with traditional photovoltaic system maintenance means, this technical framework not only improves the overall performance and stability of the system, but also provides new ideas and solutions for the intelligent management of future photovoltaic systems.

[0065] Embodiment 2

[0066] This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 , specifically: The photovoltaic data acquisition module includes a photovoltaic data acquisition unit and a data preprocessing unit;

[0067] The photovoltaic data acquisition unit is used to install an integrated sensor group around the sensor to collect performance data in real time. The integrated sensor group includes a spectrometer, a spectral transmittance measuring instrument, a dirt detector, a temperature sensor, a rangefinder, and a time recorder;

[0068] The performance data includes the light wavelength g, the length C of the photovoltaic component, the width K of the photovoltaic component, the dirt coefficient Wg on the surface of the photovoltaic panel, the light intensity G, the light incident angle θ, and the ambient temperature T;

[0069] The data preprocessing unit is used to initially clean the acquired photovoltaic module data, correct missing values and delete outliers, normalize data with different dimensions, and then standardize the data to eliminate the influence of dimensions between different parameters.

[0070] The performance feature extraction module is used to analyze the response ability of the photovoltaic module at different wavelengths g based on the light wavelength g in the performance data to obtain the spectral response curve R(g), then summarize the light intensity G and the light incident angle θ to calculate G·cos(θ), extract the angular dependence G(θ) of the light intensity, and then obtain the spectral transmittance E(g) of the component by recording the transmittance of light with different wavelengths g passing through the photovoltaic panel. Measure the output power of the photovoltaic module at different ambient temperatures T, calculate and obtain the dynamic temperature coefficient β(T), and then summarize the spectral response curve R(g), the angular dependence G(θ) of the light intensity, the spectral transmittance E(g) and the dynamic temperature coefficient β(T) to generate a performance data set.

[0071] In this embodiment, the photovoltaic data acquisition module of the system consists of two parts: the photovoltaic data acquisition unit and the data preprocessing unit. The data acquisition unit collects the performance data of the photovoltaic module in real time through an integrated sensor group; the data preprocessing unit then cleans, normalizes and standardizes the collected data, eliminating the noise and inconsistencies in the data. Compared with the traditional single data acquisition method, the photovoltaic data acquisition module provides a more comprehensive and accurate data basis, laying a solid foundation for subsequent performance analysis and optimization, and significantly improving the comprehensiveness and accuracy of data processing. In the performance feature extraction module, by analyzing the light wavelength, the spectral response curve R(g) of the photovoltaic module is obtained; the dependence of the light intensity G and the light incident angle is summarized; the spectral transmittance E(g) is measured; and the dynamic temperature coefficient is calculated. The comprehensive processing of these data enables the analysis of the performance of the photovoltaic module to not only depend on a single performance index, but to comprehensively evaluate the response ability and efficiency of the module based on multi-dimensional data. This comprehensive performance analysis method can more comprehensively reflect the performance of the module in actual use compared with the traditional single performance test method, thus providing more scientific and effective performance improvement suggestions.

[0072] Embodiment 3

[0073] This embodiment is an explanatory description based on Embodiment 2, please refer to Figure 1 , specifically: The dynamic power adjustment module includes a spectral power output calculation unit, an actual output power calculation unit and an output power evaluation unit;

[0074] The spectral power output calculation unit is used to calculate and obtain the component output power Pout(g) based on the extracted performance data set;

[0075] The output power Pout(g) of the component is obtained through the following algorithm formula:

[0076]

[0077] In the formula, I(g) represents the incident wavelength intensity, A represents the area of the photovoltaic module, g1 and g2 respectively represent the lower and upper limits of the light wavelength, dg represents the differential element of the wavelength variable g, and represents the process of accumulating the function on the photovoltaic wavelength g.

[0078] The actual output power calculation unit is used to calculate the actual output power Pout(adj) of the component by performing a related calculation based on the obtained output power Pout(g) of the component and combining the angular dependence G(θ) of the light intensity and the photovoltaic panel surface dirt coefficient Wg in;

[0079] The actual output power Pout(adj) is obtained through the following algorithm formula:

[0080] Pout(adj) = Pout(g)·G(θ)·(1 - Wg);

[0081] The output power evaluation unit is used to construct a power threshold F1 based on the normal output index of the actual output power of the photovoltaic module, and then compare and evaluate it with the obtained actual output power Pout(adj) to analyze the actual output power situation of the photovoltaic module;

[0082] The specific evaluation scheme is as follows:

[0083] When the actual output power Pout(adj) ≥ power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic module are normal and can make full use of solar energy;

[0084] When the actual output power Pout(adj) < power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic module are abnormal, and dynamic adjustment is performed at this time.

[0085] In this embodiment, the system calculates the theoretical output power Pout(g) of the photovoltaic module at different wavelengths through the spectral power output calculation unit based on the extracted performance dataset, using the integral algorithm, providing a scientific basis for actual power adjustment. The formula takes into account the incident wavelength intensity I(g), the area A of the photovoltaic module, and the differential factor in the light wavelength g interval. Compared with the traditional simplified calculation method, this power calculation method based on the light wavelength g distribution provides a more accurate output prediction and can accurately reflect the impact of the spectrum on the performance of the photovoltaic module. Secondly, the actual output power calculation unit combines the spectral power output Pout(g) with the angular dependence G(θ) of the light intensity and the dirt coefficient Wg of the photovoltaic panel surface to calculate the actual output power Pout(adj). This method can comprehensively consider the impact of light conditions and dirt factors on the actual power compared with the previous simple power adjustment means, achieving more accurate power adjustment. This unit dynamically adjusts the actual output power Pout(adj) of the photovoltaic module through an improved calculation method, improving the adaptability to environmental changes and the light energy conversion efficiency. Finally, the output power evaluation unit evaluates the working state of the photovoltaic module by establishing a power threshold F1 to compare with the actual output power Pout(adj). When the actual output power is lower than the power threshold F1, the system will trigger dynamic adjustment measures. This mechanism not only realizes the monitoring of the real-time performance of the photovoltaic module but also provides a feedback mechanism for the performance optimization of the photovoltaic module. Compared with the traditional static performance evaluation method, this evaluation unit more flexibly responds to the performance fluctuations of the photovoltaic module through dynamic adjustment and real-time evaluation, significantly improving the energy efficiency and stability of the system.

[0086] Embodiment 4

[0087] This embodiment is an explanatory description carried out in Embodiment 3. Please refer to Figure 1 , specifically: The photovoltaic performance analysis module includes a dynamic temperature adjustment unit, a non-linear optoelectronic response adjustment unit, and a comprehensive performance analysis unit;

[0088] The dynamic temperature adjustment unit is used to perform associated calculations to obtain the dynamic temperature adjustment power Pout(w) based on the actual output power Pout(adj) of the current photovoltaic module, in combination with the dynamic temperature coefficient β(T) and the ambient temperature T;

[0089] The dynamic temperature adjustment power Pout(w) is calculated through the following algorithm formula:

[0090] Pout(w) = Pout(adj)·(1 - β(T)·(T - T ref ));

[0091] In the formula, T refRepresents the environmental reference temperature. This adjustment factor takes into account the impact of environmental temperature on the performance of photovoltaic modules. High temperatures usually reduce the efficiency of photovoltaic modules. Therefore, power needs to be temperature-adjusted. The dynamic temperature coefficient β(T) describes the degree of influence of temperature on the module performance.

[0092] The non-linear optoelectronic response adjustment unit is used to adjust the power Pout(w) according to the dynamic temperature, and further perform a related calculation in combination with the angular dependence G(θ) of the light intensity to obtain the optoelectronic response adjusted power Pout(f);

[0093] The optoelectronic response adjusted power Pout(f) is obtained by calculating through the following algorithm formula:

[0094]

[0095] In the formula, γ represents the non-linear optoelectronic response coefficient, G ref Represents the reference light intensity. This adjustment factor takes into account the non-linear optoelectronic response phenomenon of light intensity. The response of light intensity to photovoltaic modules is not linear. The efficiency change at different light intensities may be caused by the design characteristics of photovoltaic modules. Therefore, the non-linear optoelectronic response coefficient γ is used to adjust the actual impact of light intensity on the output power of photovoltaic modules.

[0096] In this embodiment, the system first calculates the dynamically temperature-adjusted power Pout(w) by the dynamic temperature adjustment unit based on the actual output power Pout(adj), the dynamic temperature coefficient β(T), and the environmental temperature T. This process precisely adjusts the power by considering the negative impact of the environmental temperature T on the performance of photovoltaic modules. This method introduces the dynamic temperature coefficient β(T) and the reference temperature G refThe adjustment mechanism enables a more accurate reflection of the impact of the environmental temperature T on the performance of photovoltaic modules, ensuring the scientificity and effectiveness of power adjustment. In the non-linear optoelectronic response adjustment unit, the optoelectronic response adjustment power Pout(f) is calculated by dynamically adjusting the power Pout(w) with temperature and the angular dependence G(θ) of the light intensity. The non-linear optoelectronic response adjustment unit particularly considers the non-linear characteristics of the light intensity G on the response of photovoltaic modules, and accurately adjusts the impact of the light intensity G on power output by introducing the non-linear optoelectronic response coefficient γ. Finally, the comprehensive performance analysis unit comprehensively analyzes the dynamic temperature adjustment power Pout(w) and the optoelectronic response adjustment power Pout(f) to deeply analyze the overall performance of photovoltaic modules, generates a performance data set and uses it for system performance optimization. This unit not only summarizes and evaluates the results of dynamic temperature adjustment and non-linear optoelectronic response adjustment, but also provides a scientific basis for performance improvement. Compared with the traditional single performance evaluation method, this unit provides a more comprehensive perspective on performance analysis by comprehensively considering the temperature effect and the non-linear change of light response, significantly improving the optimization ability of photovoltaic module performance.

[0097] Example 5

[0098] This example is an explanatory note for Example 4. Please refer to Figure 1 , specifically: The comprehensive performance analysis unit is used to comprehensively calculate the photovoltaic performance coefficient Powx based on the obtained optoelectronic response adjustment power Pout(f), combined with the area A of the photovoltaic module and the reference light intensity G ref , and comprehensively analyze the performance of the photovoltaic system components after readjustment;

[0099] The photovoltaic performance coefficient Powx is obtained through the following algorithm formula:

[0100]

[0101] The comprehensive evaluation module compares the preset photovoltaic performance threshold X with the obtained photovoltaic performance coefficient Powx through the normal value of the photovoltaic module system performance, and analyzes the performance status of the photovoltaic module after adjustment;

[0102] The specific evaluation scheme is as follows:

[0103] When the photovoltaic performance coefficient Powx ≥ the photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic module system is normal after readjustment;

[0104] When the photovoltaic performance coefficient Powx < the photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic module system is abnormal after readjustment. Insufficient light intensity, poor light angle, or too high ambient temperature cause the photovoltaic module to operate in a non-optimal state. There is dirt, obstruction, or other factors affecting light reception on the surface of the photovoltaic module. At this time, maintenance information is generated to remind the relevant staff to maintain the photovoltaic module.

[0105] In this embodiment, the system calculates the photovoltaic performance coefficient Powx through the comprehensive performance analysis unit based on the photoelectric response adjusted power Pout(f), the area A of the photovoltaic module, and the reference light intensity G ref , so as to comprehensively analyze the performance of the photovoltaic module after adjustment. This method generates detailed performance analysis results by comparing the actual output of the photovoltaic module with the theoretical optimal output. In the comprehensive evaluation module, by setting the photovoltaic performance threshold X and comparing it with the calculated photovoltaic performance coefficient Powx, a detailed performance status evaluation is implemented. When the photovoltaic performance coefficient Powx is large, it indicates that the power performance of the photovoltaic module after adjustment is normal; when the photovoltaic performance coefficient Powx is small, maintenance information is generated to remind the staff to perform necessary maintenance on the photovoltaic system. This evaluation mechanism is more intelligent and timely compared with the traditional regular maintenance and single performance detection methods. It can monitor the working status of the photovoltaic module in real time, identify potential problems in the system, and make the system maintenance more efficient and targeted. In addition, the introduction of the comprehensive evaluation module has transformed the performance management of the photovoltaic system from passive maintenance to active optimization.

[0106] Embodiment 6

[0107] Please refer to Figure 1 and Figure 2 , a method for evaluating the performance of a photovoltaic system component, comprising the following steps:

[0108] S1. First, install an integrated sensor group around the photovoltaic system component to collect the performance data of the photovoltaic system component in real time and preprocess the collected performance data;

[0109] S2. Then extract the features of the preprocessed photovoltaic component data to extract the performance feature set of the photovoltaic system component in real time;

[0110] S3. Then, based on the photovoltaic performance feature set, calculate the component output power Pout(g), perform associated calculations to obtain the adjusted actual output power Pout(adj) of the component, and preset a power threshold F1 for comparative evaluation;

[0111] S4. Based on the adjusted component output power Pout(adj), combined with the photovoltaic performance feature set, perform analysis and calculation to obtain the dynamic temperature adjustment power Pout(w), and at the same time, further calculate to obtain the optoelectronic response adjustment power Pout(f);

[0112] S5. Finally, based on the obtained optoelectronic response adjustment power Pout(f), perform calculations to obtain the photovoltaic performance coefficient Powx, and preset the photovoltaic performance threshold X for comparison and evaluation.

[0113] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A photovoltaic system component performance evaluation system, characterized in that: It includes a photovoltaic data acquisition module, a performance feature extraction module, a dynamic power adjustment module, a photovoltaic performance analysis module, and a comprehensive evaluation module; The photovoltaic data acquisition module is used to install an integrated sensor group around the components of the photovoltaic system, collect the performance data of the photovoltaic system components in real time, and preprocess the collected performance data; The performance feature extraction module is used to extract features from the preprocessed photovoltaic component data and extract the performance feature set of the photovoltaic system components in real time; The dynamic power adjustment module is used to calculate and obtain the component output power Pout(g) according to the photovoltaic performance feature set, and perform related calculations to obtain the adjusted actual output power Pout(adj) of the component, and preset a power threshold F1 for comparison and evaluation; The specific evaluation scheme is as follows: When the actual output power Pout(adj) ≥ power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic component are normal; When the actual output power Pout(adj) < power threshold F1, it indicates that the working state and light energy conversion efficiency of the current photovoltaic component are abnormal, and dynamic adjustment is performed at this time; The photovoltaic performance analysis module is used to analyze and calculate the dynamic temperature adjustment power Pout(w) according to the adjusted component output power Pout(adj) and in combination with the photovoltaic performance feature set, and further calculate the optoelectronic response adjustment power Pout(f); The comprehensive evaluation module is used to calculate and obtain the photovoltaic performance coefficient Powx according to the obtained optoelectronic response adjustment power Pout(f), and preset a photovoltaic performance threshold X for comparison and evaluation; The comprehensive evaluation module compares and evaluates the preset photovoltaic performance threshold X with the obtained photovoltaic performance coefficient Powx through the normal value of the photovoltaic component system performance to analyze the performance status of the adjusted photovoltaic component; The specific evaluation scheme is as follows: When the photovoltaic performance coefficient Powx ≥ photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic component system is normal after adjustment; When the photovoltaic performance coefficient Powx < photovoltaic performance threshold X, it indicates that the output power of the current photovoltaic component system is abnormal after adjustment, and maintenance information is generated at this time to remind relevant staff to maintain the photovoltaic component.

2. The performance evaluation system for a photovoltaic system component according to claim 1, wherein: The photovoltaic data acquisition module includes a photovoltaic data acquisition unit and a data preprocessing unit; The photovoltaic data acquisition unit is used to install an integrated sensor group around the sensor to collect performance data in real time. The integrated sensor group includes a spectrometer, a spectral transmittance measuring instrument, a dirt detector, a temperature sensor, a rangefinder, and a time recorder; The performance data includes the light wavelength g, the length C of the photovoltaic component, the width K of the photovoltaic component, the dirt coefficient Wg on the surface of the photovoltaic panel, the light intensity G, the light incident angle θ, and the ambient temperature T; The data preprocessing unit is used to initially clean the obtained photovoltaic component data, correct missing values and delete outliers, normalize the data with different dimensions, and then standardize the data to eliminate the influence of dimensions between different parameters.

3. The performance evaluation system for a photovoltaic system component according to claim 2, characterized in that: The performance feature extraction module is used to analyze the response ability of the photovoltaic module at different wavelengths g in the performance data to obtain the spectral response curve R(g), then summarize and calculate the light intensity G and the light incident angle θ, extract the angular dependence G(θ) of the light intensity, and obtain the spectral transmittance E(g) of the module by recording the transmittance of light with different wavelengths g through the photovoltaic panel. Measure the output power of the photovoltaic module at different ambient temperatures T, calculate and obtain the dynamic temperature coefficient β(T), and then summarize the spectral response curve R(g), the angular dependence G(θ) of the light intensity, the spectral transmittance E(g), and the dynamic temperature coefficient β(T) to generate a performance data set.

4. The performance evaluation system for a photovoltaic system component according to claim 3, wherein: The dynamic power adjustment module includes a spectral power output calculation unit, an actual output power calculation unit, and an output power evaluation unit; The spectral power output calculation unit is used to calculate and obtain the component output power Pout(g) based on the extracted performance data set; The component output power Pout(g) is obtained through the following algorithm formula: In the formula, I(g) represents the incident wavelength intensity, A represents the area of the photovoltaic module, g1 and g2 respectively represent the lower and upper limits of the light wavelength, dg represents the differential element of the wavelength variable g, and represents the process of accumulating the function on the photovoltaic wavelength g.

5. The performance evaluation system for a photovoltaic system component according to claim 4, wherein: The actual output power calculation unit is used to calculate and obtain the actual output power Pout(adj) of the component by associating the obtained component output power Pout(g) with the angular dependence G(θ) of the light intensity and the dirt coefficient Wg on the surface of the photovoltaic panel; The actual output power Pout(adj) is obtained through the following algorithm formula: Pout(adj) = Pout(g)·G(θ)·(1 - Wg); The output power evaluation unit is used to construct a power threshold F1 based on the normal output index of the actual output power of the photovoltaic module, and then compare and evaluate it with the obtained actual output power Pout(adj) to analyze the actual output power situation of the photovoltaic module.

6. The performance evaluation system for a photovoltaic system component according to claim 1, wherein: The photovoltaic performance analysis module includes a dynamic temperature adjustment unit, a non-linear optoelectronic response adjustment unit, and a comprehensive performance analysis unit; The dynamic temperature adjustment unit is used to calculate and obtain the dynamic temperature adjustment power Pout(w) by associating the actual output power Pout(adj) of the current photovoltaic module with the dynamic temperature coefficient β(T) and the ambient temperature T; The dynamic temperature adjustment power Pout(w) is calculated and obtained through the following algorithm formula: Pout(w) = Pout(adj)·(1 - β(T)·(T - T ref )); where T ref represents the environmental reference temperature.

7. A photovoltaic system component performance evaluation system according to claim 6, characterized in that: The non-linear optoelectronic response adjustment unit is used to calculate and obtain the optoelectronic response adjustment power Pout(f) by further associating the dynamic temperature adjustment power Pout(w) with the angular dependence G(θ) of the light intensity; The optoelectronic response adjustment power Pout(f) is calculated and obtained through the following algorithm formula: In the formula, γ represents the non-linear optoelectronic response coefficient, and G ref represents the reference light intensity.

8. A photovoltaic system component performance evaluation system according to claim 6, characterized in that: The comprehensive performance analysis unit is used to perform comprehensive calculations to obtain the photovoltaic performance coefficient Powx based on the adjusted power Pout(f) obtained according to the optoelectronic response, combined with the area A of the photovoltaic module and the reference light intensity G, and comprehensively analyze the performance of the components of the photovoltaic system after readjustment; ref , and comprehensively analyze the performance of the components of the photovoltaic system after readjustment; The photovoltaic performance coefficient Powx is obtained through the following algorithm formula:

9. A method for evaluating the performance of a photovoltaic system component, which is applied to a photovoltaic system component performance evaluation system according to any one of claims 1-8, characterized in that: Including the following steps: S1. First, install an integrated sensor group around the components of the photovoltaic system to collect the performance data of the photovoltaic system components in real time, and preprocess the collected performance data; S2. Then, extract features from the preprocessed photovoltaic component data to obtain a photovoltaic performance feature set; S3. Then, based on the photovoltaic performance feature set, calculate to obtain the component output power Pout(g), and perform associated calculations to obtain the adjusted actual output power Pout(adj) of the component, and compare and evaluate it with a preset power threshold F1; S4. Based on the adjusted component output power Pout(adj), combined with the photovoltaic performance feature set, analyze and calculate to obtain the dynamic temperature adjustment power Pout(w), and at the same time, further calculate to obtain the optoelectronic response adjustment power Pout(f); S5. Finally, based on the obtained optoelectronic response adjustment power Pout(f), perform calculations to obtain the photovoltaic performance coefficient Powx, and compare and evaluate it with a preset photovoltaic performance threshold X.

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