Photovoltaic cell parameter identification system based on intelligent optimization algorithm

Abstract

The invention relates to the technical field of photovoltaic cell parameter identification, and particularly discloses a photovoltaic cell parameter identification system based on an intelligent optimization algorithm, and the system comprises an optimal inclination angle determination module which obtains an optimal inclination angle data set based on a simulation model; the height calibration module is used for fitting according to the standard radiation intensity under different height values to obtain a standard radiation curve; according to the lowest wind speed at different height values, fitting to obtain a lowest wind speed curve; the angle calibration module is used for acquiring radiation change coefficients and wind speed change coefficients under different inclination angle deviation values, and fitting the radiation change coefficients and the wind speed change coefficients to obtain a radiation change coefficient curve and a wind speed change coefficient curve respectively; the working temperature calibration module is used for determining a temperature change curve; determining a temperature reduction curve; and the identification module is used for calculating the working temperature of the current photovoltaic cell in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic cell parameter identification, and in particular to a photovoltaic cell parameter identification system based on an intelligent optimization algorithm. Background Art

[0002] Photovoltaic cells have many parameters, which are crucial for understanding and evaluating their performance; common photovoltaic cell parameters include open circuit voltage, short circuit current, maximum power point and operating temperature.

[0003] The operating temperature of a photovoltaic cell refers to the temperature reached when the photovoltaic cell converts solar energy into electrical energy in a photovoltaic power generation system. Obtaining the operating temperature of a photovoltaic cell has several important purposes, which are mainly focused on optimizing the performance of the photovoltaic system, improving power generation efficiency, ensuring system stability and extending equipment life.

[0004] In the prior art, the operating temperature of photovoltaic cells is usually calculated by rated parameters and standard test conditions (such as standard test conditions, STC); however, in actual applications, the operating temperature of photovoltaic cells is often affected by a variety of environmental factors, which makes it difficult to accurately reflect its actual working state by relying solely on rated parameters; and because the operating temperature of photovoltaic cells is determined by the level of solar radiation energy received by the photovoltaic panel, the more solar radiation energy the photovoltaic panel receives, the higher the efficiency of the photovoltaic cell, and the higher the overall operating temperature of the photovoltaic cell; for example, different geographical locations, seasonal changes, and different time periods of the day will cause fluctuations in the intensity of solar radiation received by the photovoltaic cell, thereby directly affecting the operating temperature of the photovoltaic cell. In high latitudes or under direct sunlight, the temperature of the photovoltaic cell may increase significantly. Summary of the invention

[0005] The purpose of the present invention is to provide a photovoltaic cell parameter identification system based on an intelligent optimization algorithm to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A photovoltaic cell parameter identification system based on an intelligent optimization algorithm includes an optimal tilt angle determination module, a height calibration module, an angle calibration module, an operating temperature calibration module and an identification module, specifically:

[0008] The optimal tilt angle determination module includes an optimal tilt angle data set; the optimal tilt angle data set is obtained based on a pre-built simulation model, and the optimal tilt angle data set includes the optimal tilt angles when the photovoltaic panel is at different longitudes and latitudes; the optimal tilt angle is the tilt angle when the photovoltaic panel is at the same longitude and latitude and receives a standard radiation intensity, and the standard radiation intensity is the maximum solar radiation intensity received by the photovoltaic panel;

[0009] Height calibration module: set the standard height and several height values, obtain the standard radiation intensity of the photovoltaic panel at different height values ​​when it is at the same longitude and latitude, and fit the standard radiation curve according to the standard radiation intensity at different height values;

[0010] Obtain the minimum wind speed at different height values ​​when the photovoltaic panel is at the same longitude and latitude, wherein the minimum wind speed is the wind speed on the surface of the photovoltaic panel when the inclination angle of the photovoltaic panel is 0°; and obtain the minimum wind speed curve by fitting according to the minimum wind speed at different height values;

[0011] Angle calibration module: setting different tilt angle deviation values, where the tilt angle deviation value is the angle value of the tilt angle of the photovoltaic panel deviating from the optimal tilt angle; obtaining the radiation variation coefficient of the photovoltaic panel at different tilt angle deviation values, and fitting the radiation variation coefficient curve according to the radiation variation coefficient at different tilt angle deviation values; obtaining the wind speed variation coefficient of the photovoltaic panel at different tilt angle deviation values, and fitting the wind speed variation coefficient curve according to the wind speed variation coefficient at different tilt angle deviation values;

[0012] Working temperature calibration module: when the wind speed is 0, set different radiation values, the radiation value is the value of the solar radiation intensity, obtain the working temperature of the photovoltaic cell at different radiation values, and fit to obtain the temperature change curve; when the radiation value is fixed, set different wind speeds, obtain the working temperature reduction of the photovoltaic cell at different wind speeds, and fit to obtain the temperature reduction curve;

[0013] Identification module: obtains the optimal inclination angle of the current photovoltaic panel in real time, and obtains the current working temperature of the photovoltaic cell in real time through an intelligent optimization algorithm according to the angle calibration module, the height calibration module and the working temperature calibration module.

[0014] As a further solution of the present invention: the construction process of the simulation model includes:

[0015] A spherical model is established, and a longitude and latitude network is established on the spherical model; astronomical parameters and geographic information are collected, wherein the astronomical parameters include the inclination angle of the earth's rotation axis and the obliquity of the ecliptic, and the geographic information includes the sunshine duration, cloud cover and temperature at each longitude and latitude on the longitude and latitude network; a simulation model is established based on the spherical model, astronomical parameters and geographic information.

[0016] As a further solution of the present invention: the standard height and height value are the height of the photovoltaic panel from the ground plane, and the setting range of the standard height is [8cm, 10cm].

[0017] As a further solution of the present invention: the process of obtaining the inclination angle of the photovoltaic panel includes:

[0018] The inclination angle is the angle between the photovoltaic panel and the ground plane, and the inclination angle when the photovoltaic panel is parallel to the ground plane is recorded as 0°.

[0019] As a further solution of the present invention: the process of obtaining the radiation variation coefficient includes:

[0020] The tilt angle deviation value is recorded as k, and the solar radiation intensity received by the photovoltaic panel at this time is recorded as Fu k , then the radiation variation coefficient K is obtained Fu =Fu k / Fu 0 , where Fu 0 This is the standard radiation intensity at this time.

[0021] As a further solution of the present invention: the process of obtaining the wind speed variation coefficient includes:

[0022] Get the wind speed Fe on the photovoltaic panel surface when the inclination deviation value is k k , then we get the wind speed variation coefficient K at this time Fe =Fe k / Fe 0 , where Fe 0 This is the lowest wind speed at this time.

[0023] As a further solution of the present invention: the process of obtaining the working temperature reduction includes:

[0024] Let the working temperature of the photovoltaic cell at the lowest wind speed be t, and let the wind speed on the photovoltaic cell when the radiation value is f be t f , then the working temperature reduction Cv=|tt f |.

[0025] As a further solution of the present invention: the process of obtaining the current working temperature of the photovoltaic cell includes:

[0026] The standard radiation curve is Fu(a), the minimum wind speed curve is Fe(a), where a is the height value; the radiation variation coefficient curve is Fub(b), the wind speed variation coefficient curve is Feb(b), where b is the inclination deviation value; the temperature variation curve is Tb(c), c is the radiation value, the temperature reduction curve is Tj(d), d is the wind speed;

[0027] Obtain the latitude and longitude of the current photovoltaic panel, and obtain the optimal tilt angle θ of the current photovoltaic panel according to the optimal tilt angle data set. 0 , and obtain the current inclination angle of the photovoltaic panel as θ; obtain the current real-time operating temperature of the photovoltaic cell T = Tb[Fub(θ-θ 0 )*Fu(H)]-Tj[Fe(H)*Feb(θ-θ0 )], H is the installation height of the current photovoltaic panel.

[0028] Beneficial effects of the present invention:

[0029] The present invention acquires the working temperature of photovoltaic cells in real time through an intelligent optimization algorithm, so that the working state of photovoltaic panels can be adjusted in real time according to the real-time working temperature, ensuring that photovoltaic cells can operate at optimal angles and temperatures under various environmental conditions, thereby improving photoelectric conversion efficiency; the present invention can comprehensively consider multiple factors such as inclination angle, altitude, wind speed and radiation intensity, and use advanced simulation models and intelligent optimization algorithms to accurately identify the working parameters of photovoltaic panels, which helps to more accurately predict and optimize the performance of photovoltaic cells; it is suitable for photovoltaic cells at different longitudes and latitudes and different environmental conditions, has strong geographical and climatic adaptability, and can be widely used in photovoltaic power stations around the world; through automated parameter identification and adjustment, the need for manual intervention is reduced, thereby reducing the cost of long-term operation and maintenance; the working temperature is acquired in real time according to the environmental factors of the photovoltaic cells, thereby improving the accuracy of working temperature acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Figure 1 It is a flow chart of a photovoltaic cell parameter identification system based on an intelligent optimization algorithm of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 As shown, the present invention is a photovoltaic cell parameter identification system based on an intelligent optimization algorithm, including an optimal tilt angle determination module, a height calibration module, an angle calibration module, an operating temperature calibration module and an identification module, specifically:

[0034] The optimal tilt angle determination module includes an optimal tilt angle data set; the optimal tilt angle data set is obtained based on a pre-built simulation model, and the optimal tilt angle data set includes the optimal tilt angles when the photovoltaic panel is at different longitudes and latitudes; the optimal tilt angle is the tilt angle when the photovoltaic panel is at the same longitude and latitude and receives a standard radiation intensity, and the standard radiation intensity is the maximum solar radiation intensity received by the photovoltaic panel;

[0035] It is understandable that the solar altitude and azimuth angles change with the season, date and time of the day. Therefore, in order to maximize the solar energy absorption efficiency, the installation angle of the photovoltaic panel also needs to be adjusted accordingly; the optimal tilt angle data set provides a scientific basis for the design and installation of photovoltaic panels, ensuring that photovoltaic panels can capture sunlight in the most optimized posture no matter where on the earth, thereby improving the overall energy conversion efficiency and economic benefits; by accurately calculating and applying these optimal tilt angles, the light loss caused by improper angles can be significantly reduced; at the same time, when the photovoltaic panel is at the optimal tilt angle, the solar energy absorption efficiency of the photovoltaic panel is the highest and the operating temperature is also the highest;

[0036] As a preferred embodiment of the present invention, the construction process of the simulation model includes: establishing a spherical model, and establishing a longitude and latitude network on the spherical model; collecting astronomical parameters and geographic information, wherein the astronomical parameters include the inclination angle of the earth's rotation axis and the obliquity of the ecliptic, and the geographic information includes the sunshine duration, cloud cover and temperature at each longitude and latitude on the longitude and latitude network; and establishing a simulation model according to the spherical model, the astronomical parameters and the geographic information;

[0037] It is understandable that in order to establish the best inclination data set, it is first necessary to build an accurate spherical model and draw a detailed longitude and latitude network on its surface; this model is used as a basic framework to simulate different locations on the earth's surface, thereby providing a spatial reference for subsequent analysis; after the spherical model is established, it is necessary to collect a series of key astronomical parameters and geographic information; the astronomical parameters mainly include the inclination angle of the earth's rotation axis and the obliquity of the ecliptic, which are crucial to understanding the relative position relationship between the earth and the sun, and they directly affect the incident angle and intensity of the sun's rays; while the geographic information covers the longitude and latitude The sunshine duration, cloud cover and temperature data at each node on the network determine the specific conditions for photovoltaic panels to receive solar energy. Using the above collected data, combined with advanced calculation methods and algorithms, a highly complex simulation model can be established. The model can comprehensively consider multiple factors, such as geographical location, seasonal changes, weather conditions, etc., to predict the amount of solar radiation that photovoltaic panels can receive at different inclination angles. By continuously adjusting the model parameters and running simulation experiments, the optimal inclination value at each longitude and latitude point is finally determined, that is, when the photovoltaic panel is at this specific angle, it can maximize the absorption of solar energy.

[0038] Height calibration module: set the standard height and several height values, obtain the standard radiation intensity of the photovoltaic panel at different height values ​​when it is at the same longitude and latitude, and fit the standard radiation curve according to the standard radiation intensity at different height values;

[0039] Obtain the minimum wind speed at different height values ​​when the photovoltaic panel is at the same longitude and latitude, wherein the minimum wind speed is the wind speed on the surface of the photovoltaic panel when the inclination angle of the photovoltaic panel is 0°; and obtain the minimum wind speed curve by fitting according to the minimum wind speed at different height values;

[0040] It is understandable that a standard height is set as a reference point, and on this basis, several different height values ​​are selected for research; these selected height values ​​cover a wide range from the ground to a higher position to simulate various situations that may be encountered in actual installation; at each selected height, the standard radiation intensity received by the photovoltaic panel is measured and recorded; this process involves precise light intensity sensors and data acquisition equipment to ensure that the collected data is accurate and reliable; by statistically analyzing the radiation intensity data at different heights, a standard radiation curve can be drawn to intuitively show the trend of radiation intensity changing with height; in addition to radiation intensity, the minimum wind speed is also an important factor affecting the stability and safety of photovoltaic panels; in the height calibration module, the minimum wind speed data of the photovoltaic panel at the same longitude and latitude but different height conditions will also be obtained; the minimum wind speed here specifically refers to the wind speed experienced by the surface of the photovoltaic panel when the inclination angle is 0°, because this represents the most unfavorable stress condition; similarly, based on these wind speed data, a minimum wind speed curve can be fitted to reveal the law of wind speed changing with height;

[0041] As a preferred embodiment of the present invention, the standard height and height value are the height of the photovoltaic panel from the ground plane, and the setting range of the standard height is [8cm, 10cm];

[0042] It is worth noting that, generally speaking, it is more appropriate to install photovoltaic panels at a height of about 8-10 cm from the ground; this height can ensure that there is enough space between the panels and the ground for ventilation and heat dissipation, while avoiding corrosion problems caused by rising moisture from the ground;

[0043] As a preferred embodiment of the present invention, the process of obtaining the inclination angle of the photovoltaic panel includes:

[0044] The inclination angle is the angle between the photovoltaic panel and the ground plane, and the inclination angle when the photovoltaic panel is parallel to the ground plane is recorded as 0°;

[0045] It is understood that the angle between the photovoltaic panel and the ground plane is determined; this angle refers to the angle between the surface of the photovoltaic panel and the ground, which determines the efficiency of the photovoltaic panel in receiving sunlight;

[0046] Angle calibration module: setting different tilt angle deviation values, where the tilt angle deviation value is the angle value of the tilt angle of the photovoltaic panel deviating from the optimal tilt angle; obtaining the radiation variation coefficient of the photovoltaic panel at different tilt angle deviation values, and fitting the radiation variation coefficient curve according to the radiation variation coefficient at different tilt angle deviation values; obtaining the wind speed variation coefficient of the photovoltaic panel at different tilt angle deviation values, and fitting the wind speed variation coefficient curve according to the wind speed variation coefficient at different tilt angle deviation values;

[0047] It can be understood that, based on the collected data points (i.e., the radiation variation coefficient corresponding to different tilt angle deviation values), a curve is fitted using mathematical methods, and this curve can describe the relationship between the tilt angle deviation and the radiation received; similarly, it is also necessary to evaluate the impact of different tilt angle deviation values ​​on the wind speed of the photovoltaic panel; based on the data points of the wind speed variation coefficient, a curve describing the relationship between the tilt angle deviation and the wind speed change is obtained using mathematical fitting methods again;

[0048] It is worth noting that the process of fitting a curve using mathematical methods includes:

[0049] A rectangular coordinate system is established with the inclination deviation value as the horizontal coordinate and the radiation variation coefficient as the vertical coordinate; the radiation variation coefficient corresponding to different inclination deviation values ​​is converted into coordinate points of corresponding positions in the rectangular coordinate system to obtain a discrete point diagram; and all coordinate points in the discrete point diagram are sequentially connected with a smooth curve, and the curve is recorded as the radiation variation coefficient;

[0050] As a preferred embodiment of the present invention, the process of obtaining the radiation variation coefficient includes:

[0051] The tilt angle deviation value is recorded as k, and the solar radiation intensity received by the photovoltaic panel at this time is recorded as Fu k , then the radiation variation coefficient K is obtained Fu =Fu k / Fu 0 , where Fu 0 This is the standard radiation intensity at this time;

[0052] The process of obtaining the wind speed variation coefficient includes:

[0053] Get the wind speed Fe on the photovoltaic panel surface when the inclination deviation value is k k , then we get the wind speed variation coefficient K at this time Fe =Fe k / Fe 0 , where Fe 0 This is the lowest wind speed at that time;

[0054] Working temperature calibration module: when the wind speed is 0, set different radiation values, the radiation value is the value of the solar radiation intensity, obtain the working temperature of the photovoltaic cell at different radiation values, and fit to obtain the temperature change curve; when the radiation value is fixed, set different wind speeds, obtain the working temperature reduction of the photovoltaic cell at different wind speeds, and fit to obtain the temperature reduction curve;

[0055] It can be understood that at each specific radiation value, the operating temperature of the photovoltaic cell is measured; this step is to understand how different radiation intensities affect the temperature of the photovoltaic cell; based on the collected data points (i.e., the operating temperatures corresponding to different radiation values), a curve is fitted using mathematical methods; this curve can describe the relationship between radiation intensity and the operating temperature of the photovoltaic cell; at each specific wind speed, the reduction in the operating temperature of the photovoltaic cell is measured; this step is to understand how different wind speeds affect the degree of temperature reduction of the photovoltaic cell; based on the data points of the reduction in the operating temperature, a mathematical fitting method is used again to obtain a curve describing the relationship between wind speed and temperature reduction;

[0056] As a preferred embodiment of the present invention, the process of obtaining the working temperature reduction includes:

[0057] Let the working temperature of the photovoltaic cell at the lowest wind speed be t, and let the wind speed on the photovoltaic cell when the radiation value is f be t f , then the working temperature reduction Cv=|tt f |;

[0058] It can be understood that when the radiation value is fixed, different climate conditions are simulated by changing the wind speed; these different wind speeds represent air flow conditions in various situations, from still to strong winds; at each specific wind speed, the reduction in the operating temperature of the photovoltaic cell is measured; based on the data points of the reduction in the operating temperature, a temperature reduction curve can be fitted;

[0059] Identification module: obtains the optimal inclination angle of the current photovoltaic panel in real time, and obtains the current working temperature of the photovoltaic cell in real time through an intelligent optimization algorithm according to the angle calibration module, the height calibration module and the working temperature calibration module;

[0060] As a preferred embodiment of the present invention, the process of obtaining the current working temperature of the photovoltaic cell includes:

[0061] The standard radiation curve is Fu(a), the minimum wind speed curve is Fe(a), where a is the height value; the radiation variation coefficient curve is Fub(b), the wind speed variation coefficient curve is Feb(b), where b is the inclination deviation value; the temperature variation curve is Tb(c), c is the radiation value, the temperature reduction curve is Tj(d), d is the wind speed;

[0062] Obtain the latitude and longitude of the current photovoltaic panel, and obtain the optimal tilt angle θ of the current photovoltaic panel according to the optimal tilt angle data set. 0 , and obtain the current inclination angle of the photovoltaic panel as θ; obtain the current real-time operating temperature of the photovoltaic cell T = Tb[Fub(θ-θ 0 )*Fu(H)]-Tj[Fe(H)*Feb(θ-θ 0 )], H is the installation height of the current photovoltaic panel;

[0063] It can be understood that this formula comprehensively considers the impact of factors such as inclination, altitude and wind speed on the operating temperature of photovoltaic cells, thereby obtaining an accurate operating temperature value.

[0064] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A photovoltaic cell parameter identification system based on intelligent optimization algorithm, characterized in that: It includes an optimal tilt angle determination module, a height calibration module, an angle calibration module, a working temperature calibration module and an identification module, specifically: The optimal tilt angle determination module includes an optimal tilt angle data set; the optimal tilt angle data set is obtained based on a pre-built simulation model, and the optimal tilt angle data set includes the optimal tilt angles when the photovoltaic panel is at different longitudes and latitudes; the optimal tilt angle is the tilt angle when the photovoltaic panel is at the same longitude and latitude and receives a standard radiation intensity, and the standard radiation intensity is the maximum solar radiation intensity received by the photovoltaic panel; Height calibration module: set the standard height and several height values, obtain the standard radiation intensity of the photovoltaic panel at different height values ​​when it is at the same longitude and latitude, and fit the standard radiation curve according to the standard radiation intensity at different height values; Obtain the minimum wind speed at different height values ​​when the photovoltaic panel is at the same longitude and latitude, wherein the minimum wind speed is the wind speed on the surface of the photovoltaic panel when the inclination angle of the photovoltaic panel is 0°; and obtain the minimum wind speed curve by fitting according to the minimum wind speed at different height values; Angle calibration module: setting different inclination deviation values, wherein the inclination deviation value is the angle value of the inclination of the photovoltaic panel deviating from the optimal inclination angle; Obtain the radiation variation coefficient of the photovoltaic panel at different inclination deviation values, and fit the radiation variation coefficient curve according to the radiation variation coefficient at different inclination deviation values; obtain the wind speed variation coefficient of the photovoltaic panel at different inclination deviation values, and fit the wind speed variation coefficient curve according to the wind speed variation coefficient at different inclination deviation values; Working temperature calibration module: when the wind speed is 0, set different radiation values, the radiation value is the value of the solar radiation intensity, obtain the working temperature of the photovoltaic cell at different radiation values, and fit to obtain the temperature change curve; when the radiation value is fixed, set different wind speeds, obtain the working temperature reduction of the photovoltaic cell at different wind speeds, and fit to obtain the temperature reduction curve; Identification module: obtains the optimal inclination angle of the current photovoltaic panel in real time, and obtains the current working temperature of the photovoltaic cell in real time through an intelligent optimization algorithm according to the angle calibration module, the height calibration module and the working temperature calibration module.

2. A photovoltaic cell parameter identification system based on an intelligent optimization algorithm according to claim 1, characterized in that: The construction process of the simulation model includes: A spherical model is established, and a longitude and latitude network is established on the spherical model; astronomical parameters and geographic information are collected, wherein the astronomical parameters include the inclination angle of the earth's rotation axis and the obliquity of the ecliptic, and the geographic information includes the sunshine duration, cloud cover and temperature at each longitude and latitude on the longitude and latitude network; a simulation model is established based on the spherical model, astronomical parameters and geographic information.

3. The photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 1, characterized in that: The standard height and height value are the height of the photovoltaic panel from the ground plane, and the setting range of the standard height is [8cm, 10cm].

4. The photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 1, characterized in that: The process of obtaining the inclination angle of the photovoltaic panel includes: The inclination angle is the angle between the photovoltaic panel and the ground plane, and the inclination angle when the photovoltaic panel is parallel to the ground plane is recorded as 0°.

5. The photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 1, characterized in that: The process of obtaining the radiation variation coefficient includes: The tilt angle deviation value is recorded as k, and the solar radiation intensity received by the photovoltaic panel at this time is recorded as Fu k , then the radiation variation coefficient K is obtained Fu =Fu k / Fu0, where Fu0 is the standard radiation intensity at this time.

6. A photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 5, characterized in that: The process of obtaining the wind speed variation coefficient includes: Get the wind speed Fe on the photovoltaic panel surface when the inclination deviation value is k k , then we get the wind speed variation coefficient K at this time Fe =Fe k / Fe0, where Fe0 is the minimum wind speed at that time.

7. The photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 1, characterized in that: The process of obtaining the working temperature reduction comprises: Let the working temperature of the photovoltaic cell at the lowest wind speed be t, and let the wind speed on the photovoltaic cell when the radiation value is f be t f , then the working temperature reduction Cv=|tt f |.

8. The photovoltaic cell parameter identification system based on intelligent optimization algorithm according to claim 1, characterized in that: The process of obtaining the current working temperature of the photovoltaic cell includes: The standard radiation curve is Fu(a), the minimum wind speed curve is Fe(a), where a is the height value; the radiation variation coefficient curve is Fub(b), the wind speed variation coefficient curve is Feb(b), where b is the inclination deviation value; the temperature variation curve is Tb(c), c is the radiation value, the temperature reduction curve is Tj(d), d is the wind speed; Obtain the longitude and latitude of the current photovoltaic panel, obtain the optimal inclination angle θ0 of the current photovoltaic panel according to the optimal inclination angle data set, and obtain the inclination angle of the current photovoltaic panel as θ; obtain the real-time operating temperature of the current photovoltaic cell T = Tb[Fub(θ-θ0)*Fu(H)]-Tj[Fe(H)*Feb(θ-θ0)], where H is the installation height of the current photovoltaic panel.

Images