Wind resistant photovoltaic support tracking device

Abstract

The application discloses an anti-wind photovoltaic support tracking device and relates to the technical field of photovoltaic power generation.The controller comprises an acquisition module, a model establishment module, a first determination module, a correction module and a second determination module.The model establishment module is used for establishing a photovoltaic array model according to meteorological data to determine a theoretical power generation amount.The model establishment module is also used for establishing a movement curve of the sun and acquiring a sun direction parameter.The first determination module is used for determining a direction theoretical value of a double-shaft tracking support according to the sun direction parameter to obtain a direction initial constraint interval.The correction module is used for correcting the direction initial constraint interval according to the theoretical power generation amount.The second determination module is used for determining a double-shaft tracking support control parameter according to a direction actual value.The control module is used for obtaining a current photovoltaic array stress condition and correcting the double-shaft tracking support control parameter according to the photovoltaic array stress condition.The application improves tracking efficiency and accuracy and guarantees control precision.

Description

Technical Field

[0001] This application relates to the field of photovoltaic power generation technology, and more specifically, to a wind-resistant photovoltaic support tracking device. Background Technology

[0002] The photovoltaic (PV) mounting system industry is located in the midstream of the PV industry chain, mainly comprising two categories: fixed mounting systems and tracking mounting systems. Fixed mounting systems have low entry barriers, low profit margins, and significant product homogeneity. With the goal of grid parity for PV, the era of prioritizing equipment investment and fixed mounting systems (i.e., "cost per watt") will inevitably shift towards an era prioritizing return on investment and tracking mounting systems (i.e., "cost per kilowatt-hour"). Tracking mounting systems, comprising controllers, drive and transmission mechanisms, and steel structures, constitute a self-contained electromechanical control system. They are primarily available in single-axis and dual-axis types.

[0003] In existing technologies, the determined solar trajectory is inaccurate, and wind conditions at the power plant affect the control parameters of specific supports, resulting in poor tracking performance and low power generation cost-effectiveness.

[0004] Therefore, how to improve tracking performance is a technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a wind-resistant photovoltaic (PV) mounting tracking device to solve the technical problems of poor tracking performance and low power generation efficiency in existing technologies. The device includes a photovoltaic array and a dual-axis tracking bracket, wherein the dual-axis tracking bracket includes a controller, the controller comprising:

[0006] The acquisition module is used to acquire meteorological data released by the meteorological station, and to build a photovoltaic array model based on the meteorological data in order to determine the theoretical power generation.

[0007] A module is established to create the sun's motion curve based on meteorological data and to obtain the sun's direction parameters based on the motion curve.

[0008] The first determining module is used to determine the theoretical value of the direction of the dual-axis tracking bracket based on the solar direction parameters, obtain the location information of the photovoltaic array and the current time information, and obtain the initial direction constraint interval;

[0009] The correction module is used to correct the initial directional constraint interval based on the theoretical power generation, thereby obtaining the directional constraint interval.

[0010] The second determining module is used to determine the actual direction value of the dual-axis tracking bracket based on the direction constraint interval, and to determine the control parameters of the dual-axis tracking bracket based on the actual direction value.

[0011] The control module is used to establish a wind tunnel simulation based on meteorological data, obtain the current stress condition of the photovoltaic array, correct the control parameters of the dual-axis tracking bracket based on the stress condition of the photovoltaic array, and perform tracking control based on the corrected control parameters of the dual-axis tracking bracket.

[0012] In some embodiments of this application, the acquisition module is specifically used for:

[0013] Determine the variable parameters of the photovoltaic array model, including diode influence factor and series and parallel resistance, and meteorological data including atmospheric temperature;

[0014] Determine the variable parameters of the photovoltaic array model, including:

[0015] Acquire light intensity measurements and solar incidence angles, determine irradiance based on light intensity measurements and solar incidence angles, and determine photovoltaic array temperature based on irradiance and atmospheric temperature;

[0016] Based on the irradiance and photovoltaic array temperature, the corresponding initial diode influence factor and initial series-parallel resistance are obtained from the first preset database;

[0017] The calibration amount is determined based on irradiance and photovoltaic array temperature. The formula for the calibration amount is as follows:

[0018]

[0019] Where Q is the calibration quantity, α1 is the conversion weight corresponding to the irradiance, Q1 is the irradiance, α2 is the conversion weight corresponding to the photovoltaic array temperature, Q2 is the photovoltaic array temperature, and exp is the exponential function.

[0020] Based on the calibration quantity, the correction factors of the initial diode influence factor and the initial series-parallel resistance are obtained from the second preset database. The initial diode influence factor and the initial series-parallel resistance are corrected according to the correction factors to obtain the diode influence factor and the series-parallel resistance.

[0021] A photovoltaic array model is established based on the diode influence factor and series and parallel resistance to determine the theoretical power generation.

[0022] In some embodiments of this application, the establishment module is specifically used for:

[0023] The parameters of solar orientation include azimuth and elevation.

[0024] Obtain the sun's position information, and determine the sun's azimuth and altitude angles based on the sun's position information;

[0025] Meteorological data includes shadow information, which is used to update the azimuth and altitude angles of the sun at the corresponding time point.

[0026] The azimuth of the sun is updated based on the shadow information of different ranges;

[0027]

[0028] Where ω1 is the updated azimuth angle, ω 01 Let be the original azimuth angle, k1 be the first azimuth angle constant, k2 be the second azimuth angle constant, and k3 be the third azimuth angle constant, where k1 > k2 > k3. exp is an exponential function, a1, b1, c1, and d1 are four preset influence range values, n is the number of parameter types affecting the shadow in the shadow information, and β is... i W is the weight corresponding to the i-th parameter affecting the shadow. i Let be the i-th parameter that affects the shadow of the sun.

[0029] In some embodiments of this application, the establishment module is specifically used for:

[0030] The solar altitude angle is updated based on the shadow information of different ranges;

[0031]

[0032] Where ω2 is the updated elevation angle, ω 02 Let k1 be the original elevation angle, k4 be the first elevation angle constant, k5 be the second elevation angle constant, and k6 be the third elevation angle constant, with k1>k2>k3. exp is an exponential function, a2, b2, c2, and d2 are four preset influence range values, n is the number of parameter types affecting the shadow in the shadow information, and β is the initial elevation angle. i W is the weight corresponding to the i-th parameter affecting the shadow. i Let be the i-th parameter that affects the shadow of the sun;

[0033] The solar motion curve is established based on the updated solar altitude angle and azimuth angle.

[0034] In some embodiments of this application, the first determining module is specifically used for:

[0035] Based on the location information of the photovoltaic array and the current time information, the corresponding initial directional constraint interval is obtained from the third preset database;

[0036] The initial directional constraint range includes the elevation angle range and azimuth angle range of the dual-axis tracking bracket.

[0037] In some embodiments of this application, the correction module is specifically used for:

[0038] Theoretical values ​​for direction include theoretical values ​​for elevation angle and theoretical values ​​for azimuth angle;

[0039] Based on the theoretical power generation, a correction factor is obtained from the fourth preset array library. The initial directional constraint interval is then corrected based on the correction factor to obtain the first initial directional constraint interval.

[0040] If the first direction initial constraint interval is closer to the direction theoretical value than the direction initial constraint interval is closer to the direction theoretical value, then the first direction initial constraint interval shall be used as the direction constraint interval.

[0041] If the initial direction constraint interval is closer to the theoretical direction value than the first initial direction constraint interval, then determine the distance between the first elevation angle interval and the first azimuth angle interval and the theoretical value.

[0042] The first initial constraint interval includes the first elevation angle interval and the first azimuth angle interval. The first initial constraint interval is closer to the theoretical value of the direction than the first initial constraint interval is closer to the theoretical value of the direction, meaning that both the first elevation angle interval and the first azimuth angle interval are closer to the theoretical value of the direction.

[0043] In some embodiments of this application, the correction module is specifically used for:

[0044] If the distances from the first elevation angle interval and the first azimuth angle interval to the theoretical value are both greater than the distances from the initial direction constraint interval to the theoretical value, then the initial direction constraint interval shall be used as the direction constraint interval.

[0045] If the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, then the correction factor corresponding to the elevation angle interval is gradually increased, and the elevation angle interval is corrected to obtain a new first elevation angle interval, until the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the product of the correction factor and the preset coefficient is greater than the preset threshold, then the updated first elevation angle interval and the first azimuth angle interval are used as the direction constraint interval;

[0046] If the distance between the first elevation angle interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is farther than the distance between the initial direction constraint interval and the theoretical value, then determine the magnitude of the theoretical value between the two endpoints of the first azimuth angle interval.

[0047] If the left endpoint value of the first azimuth interval is greater than the theoretical value, the correction factor corresponding to the azimuth interval is gradually reduced, and the azimuth interval is corrected to obtain a new first azimuth interval until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval.

[0048] If the right endpoint value of the first azimuth interval is less than the theoretical value, the correction factor corresponding to the azimuth interval is gradually increased, and the azimuth interval is corrected to obtain a new first azimuth interval. This continues until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval.

[0049] In some embodiments of this application, the control module is specifically used for:

[0050] The forces and bending moments of the photovoltaic array were determined based on wind tunnel simulation results;

[0051] N (i，j) =ε1 (i，j) δ1 (i，j) γ1 (i，j) N0

[0052] M (i，j) =ε2 (i，j) δ2 (i，j) M0

[0053] Where, N (i，j) It is the force of the photovoltaic array corresponding to the i-th row and j-th column, ε1 (i，j) The influence weight of the wind direction angle corresponding to the force in the i-th row and j-th column is δ1. (i，j) It is the influence weight of the photovoltaic array tilt angle corresponding to the force in the i-th row and j-th column, γ1 (i，j) The force in the i-th row and j-th column corresponds to the attenuation coefficient of the photovoltaic array, where N0 is the initially measured force, and M is the attenuation coefficient. (i，j) It is the bending moment of the photovoltaic array corresponding to the i-th row and j-th column, ε2 (i，j) The influence weight of the wind direction angle corresponding to the bending moment in the i-th row and j-th column, δ2 (i，j) The influence weight of the photovoltaic array tilt angle corresponding to the bending moment in the i-th row and j-th column, M0 is the initially measured bending moment;

[0054] The intermediate quantities are determined based on the forces and bending moments of the photovoltaic array;

[0055] L=μ1N (i，j) +μ2M (i，j)

[0056] Where L is an intermediate quantity, μ1 is the balance weight corresponding to the force, and μ2 is the balance weight corresponding to the bending moment.

[0057] The correction coefficient is determined based on the intermediate value, and the control parameters of the dual-axis tracking bracket are corrected accordingly.

[0058] By applying the above technical solution, the controller includes: an acquisition module for acquiring meteorological data released by a meteorological station, establishing a photovoltaic array model based on the meteorological data to determine the theoretical power generation; an establishment module for establishing the solar motion curve based on the meteorological data, and acquiring solar direction parameters based on the motion curve; a first determination module for determining the theoretical direction value of the dual-axis tracking bracket based on the solar direction parameters, acquiring the location information of the photovoltaic array and the current time information, and obtaining the initial direction constraint interval; a correction module for correcting the initial direction constraint interval based on the theoretical power generation to obtain the direction constraint interval; a second determination module for determining the actual direction value of the dual-axis tracking bracket based on the direction constraint interval, and determining the control parameters of the dual-axis tracking bracket based on the actual direction value; and a control module for establishing a wind tunnel simulation based on the meteorological data, obtaining the current stress condition of the photovoltaic array, correcting the control parameters of the dual-axis tracking bracket based on the stress condition of the photovoltaic array, and performing tracking control based on the corrected control parameters of the dual-axis tracking bracket. This application determines the solar motion curve by influencing factors and corrects the direction parameter interval by theoretical power generation, thereby accurately obtaining the control interval value, and determines the stress and bending moment of the photovoltaic array through wind tunnel simulation. It improves tracking efficiency and accuracy, and ensures control precision. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] Figure 1 This invention provides a schematic diagram of the controller structure in a wind-resistant photovoltaic support tracking device according to an embodiment of the present invention.

[0061] Figure 2 A schematic diagram illustrating the direction definition of bending moment on a photovoltaic panel in an embodiment of the present invention is shown. Detailed Implementation

[0062] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0063] This application provides a wind-resistant photovoltaic support tracking device, including a photovoltaic array and a dual-axis tracking support, wherein the dual-axis tracking support includes a controller.

[0064] like Figure 1 As shown, the controller includes:

[0065] The acquisition module 201 is used to acquire meteorological data released by the meteorological station, and to establish a photovoltaic array model based on the meteorological data in order to determine the theoretical power generation.

[0066] Module 202 is established to create the sun's motion curve based on meteorological data and to obtain the sun's direction parameters based on the motion curve.

[0067] The first determining module 203 is used to determine the theoretical value of the direction of the dual-axis tracking bracket based on the solar direction parameters, obtain the location information of the photovoltaic array and the current time information, and obtain the initial direction constraint interval.

[0068] Correction module 204 is used to correct the initial directional constraint interval based on the theoretical power generation to obtain the directional constraint interval;

[0069] The second determining module 205 is used to determine the actual direction value of the dual-axis tracking bracket based on the direction constraint interval, and to determine the control parameters of the dual-axis tracking bracket based on the actual direction value.

[0070] The control module 206 is used to establish a wind tunnel simulation based on meteorological data, obtain the current stress condition of the photovoltaic array, correct the control parameters of the dual-axis tracking bracket based on the stress condition of the photovoltaic array, and perform tracking control based on the corrected control parameters of the dual-axis tracking bracket.

[0071] In this embodiment, the meteorological data can be data from a single day, thereby establishing photovoltaic array models corresponding to different time periods to determine the theoretical power generation. The photovoltaic array model can be a model for a future time period or node. The diode influence factor, series resistance, and parallel resistance in the photovoltaic array model will change due to external conditions, and fixed parameters are not used for calculation here.

[0072] In this embodiment, since the sun is not an ideal point light source, there is a transition zone at the edge of the shadow outline. Furthermore, the clarity of the shadow is affected by factors such as weather conditions, atmospheric transparency, and the surrounding environment. During observation, the shadow changes rapidly, and the observation location and equipment conditions also influence the results. Therefore, it is necessary to correct the sun's trajectory based on relevant shadow information to facilitate subsequent tracking.

[0073] In this embodiment, the theoretical direction value of the dual-axis tracking bracket is the optimal value. However, due to some limitations, it may not reach the optimal value. Therefore, it is necessary to select a value (actual direction value) that is closest to the optimal value within the range, and the initial direction constraint interval needs to be adjusted accordingly. The theoretical direction value of the dual-axis tracking bracket includes the elevation angle and the azimuth angle.

[0074] In this embodiment, the forces and bending moments of the photovoltaic array are determined by wind tunnel simulation, thereby adjusting the control parameters of the dual-axis tracking bracket. The control parameters of the dual-axis tracking bracket are the equipment operation control data corresponding to two directions.

[0075] The beneficial effects of the above scheme are: accurate establishment of photovoltaic array models under different conditions, thereby accurately predicting theoretical power generation; adjustment of solar direction parameters based on the influence of shadows, obtaining accurate solar trajectory over a day or period; and determination of stress conditions around the photovoltaic array based on wind conditions, adjusting control parameters and improving tracking performance.

[0076] In some embodiments of the wind-resistant photovoltaic support tracking device of this application, the acquisition module 201 is specifically used for:

[0077] Determine the variable parameters of the photovoltaic array model, including diode influence factor and series and parallel resistance, and meteorological data including atmospheric temperature;

[0078] Determine the variable parameters of the photovoltaic array model, including:

[0079] Acquire light intensity measurements and solar incidence angles, determine irradiance based on light intensity measurements and solar incidence angles, and determine photovoltaic array temperature based on irradiance and atmospheric temperature;

[0080] Based on the irradiance and photovoltaic array temperature, the corresponding initial diode influence factor and initial series-parallel resistance are obtained from the first preset database;

[0081] The calibration amount is determined based on irradiance and photovoltaic array temperature. The formula for the calibration amount is as follows:

[0082]

[0083] Where Q is the calibration quantity, α1 is the conversion weight corresponding to the irradiance, Q1 is the irradiance, α2 is the conversion weight corresponding to the photovoltaic array temperature, Q2 is the photovoltaic array temperature, and exp is the exponential function.

[0084] Based on the calibration quantity, the correction factors of the initial diode influence factor and the initial series-parallel resistance are obtained from the second preset database. The initial diode influence factor and the initial series-parallel resistance are corrected according to the correction factors to obtain the diode influence factor and the series-parallel resistance.

[0085] A photovoltaic array model is established based on the diode influence factor and series and parallel resistance to determine the theoretical power generation.

[0086] In this embodiment, irradiance refers to the actual light intensity received by the photovoltaic array. There is a certain relationship between the photovoltaic array temperature and irradiance, and temperature and light intensity affect the diode influence factor, series resistance, and parallel resistance. The relationship between photovoltaic array temperature and irradiance is conventional technology in this field and will not be elaborated further here.

[0087] The beneficial effects of the above technical solution are: to establish an accurate photovoltaic array model based on irradiance and photovoltaic array temperature, thereby ensuring the accuracy of theoretical power generation and facilitating subsequent progress.

[0088] In some embodiments of the wind-resistant photovoltaic support tracking device of this application, module 202 is specifically used for:

[0089] The parameters of solar orientation include azimuth and elevation.

[0090] Obtain the sun's position information, and determine the sun's azimuth and altitude angles based on the sun's position information;

[0091] Meteorological data includes shadow information, which is used to update the azimuth and altitude angles of the sun at the corresponding time point.

[0092] The azimuth of the sun is updated based on the shadow information of different ranges;

[0093]

[0094] Where ω1 is the updated azimuth angle, ω 01 Let be the original azimuth angle, k1 be the first azimuth angle constant, k2 be the second azimuth angle constant, and k3 be the third azimuth angle constant, where k1 > k2 > k3. exp is an exponential function, a1, b1, c1, and d1 are four preset influence range values, n is the number of parameter types affecting the shadow in the shadow information, and β is... i W is the weight corresponding to the i-th parameter affecting the shadow. u Let be the i-th parameter that affects the shadow of the sun.

[0095] In some embodiments of this application, the establishment module is specifically used for:

[0096] The solar altitude angle is updated based on the shadow information of different ranges;

[0097]

[0098] Where ω2 is the updated elevation angle, ω 02 Let k1 be the original elevation angle, k4 be the first elevation angle constant, k5 be the second elevation angle constant, and k6 be the third elevation angle constant, with k1>k2>k3. exp is an exponential function, a2, b2, c2, and d2 are four preset influence range values, n is the number of parameter types affecting the shadow in the shadow information, and β is the initial elevation angle.i W is the weight corresponding to the i-th parameter affecting the shadow. i Let be the i-th parameter that affects the shadow of the sun;

[0099] The solar motion curve is established based on the updated solar altitude angle and azimuth angle.

[0100] In this embodiment, the solar direction parameters refer to the azimuth and elevation angles of the sun, and the relevant parameters of the dual-axis tracking bracket are the azimuth and elevation angles of the tracking bracket.

[0101] In this embodiment, the information about the shadow is the weather conditions, atmospheric transparency, and surrounding environment, which affect the clarity of the shadow.

[0102] In this embodiment, the solar motion curve is a relationship curve with time on the horizontal axis and azimuth or altitude on the vertical axis.

[0103] The beneficial effects of the above scheme are: by adjusting the solar motion curve according to different amounts of shadow, an accurate curve relating the azimuth and altitude of the sun is established.

[0104] In some embodiments of the wind-resistant photovoltaic support tracking device of this application, the first determining module 203 is specifically used for:

[0105] Based on the location information of the photovoltaic array and the current time information, the corresponding initial directional constraint interval is obtained from the third preset database;

[0106] The initial directional constraint range includes the elevation angle range and azimuth angle range of the dual-axis tracking bracket.

[0107] In some embodiments of this application, the correction module 204 is specifically used for:

[0108] Theoretical values ​​for direction include theoretical values ​​for elevation angle and theoretical values ​​for azimuth angle;

[0109] Based on the theoretical power generation, a correction factor is obtained from the fourth preset array library. The initial directional constraint interval is then corrected based on the correction factor to obtain the first initial directional constraint interval.

[0110] If the first direction initial constraint interval is closer to the direction theoretical value than the direction initial constraint interval is closer to the direction theoretical value, then the first direction initial constraint interval shall be used as the direction constraint interval.

[0111] If the initial direction constraint interval is closer to the theoretical direction value than the first initial direction constraint interval, then determine the distance between the first elevation angle interval and the first azimuth angle interval and the theoretical value.

[0112] The first initial constraint interval includes the first elevation angle interval and the first azimuth angle interval. The first initial constraint interval is closer to the theoretical value of the direction than the first initial constraint interval is closer to the theoretical value of the direction, meaning that both the first elevation angle interval and the first azimuth angle interval are closer to the theoretical value of the direction.

[0113] In some embodiments of this application, the correction module 204 is specifically used for:

[0114] If the distances from the first elevation angle interval and the first azimuth angle interval to the theoretical value are both greater than the distances from the initial direction constraint interval to the theoretical value, then the initial direction constraint interval shall be used as the direction constraint interval.

[0115] If the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, then the correction factor corresponding to the elevation angle interval is gradually increased, and the elevation angle interval is corrected to obtain a new first elevation angle interval, until the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the product of the correction factor and the preset coefficient is greater than the preset threshold, then the updated first elevation angle interval and the first azimuth angle interval are used as the direction constraint interval;

[0116] If the distance between the first elevation angle interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is farther than the distance between the initial direction constraint interval and the theoretical value, then determine the magnitude of the theoretical value between the two endpoints of the first azimuth angle interval.

[0117] If the left endpoint value of the first azimuth interval is greater than the theoretical value, the correction factor corresponding to the azimuth interval is gradually reduced, and the azimuth interval is corrected to obtain a new first azimuth interval until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval.

[0118] If the right endpoint value of the first azimuth interval is less than the theoretical value, the correction factor corresponding to the azimuth interval is gradually increased, and the azimuth interval is corrected to obtain a new first azimuth interval. This continues until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval.

[0119] In this embodiment, the initial direction constraint interval can be regarded as a specified value, that is, the initial value at different times and positions.

[0120] In this embodiment, research or calculations in the prior art show that, in order to obtain the best tracking efficiency, the closer the azimuth angle of the tracking bracket is to the solar azimuth angle, the better, and the closer the elevation angle of the tracking bracket is to the solar azimuth angle, the better. The better, A T is the azimuth angle of the tracking support, A is the azimuth angle of the sun, and h is the altitude angle of the sun.

[0121] The beneficial effects of the above scheme are: it accurately adjusts the initial constraint interval of the direction, thereby improving tracking efficiency, increasing power generation efficiency, and avoiding the problem of inaccurate tracking.

[0122] In some embodiments of the wind-resistant photovoltaic support tracking device of this application, the control module is specifically used for:

[0123] The forces and bending moments of the photovoltaic array were determined based on wind tunnel simulation results;

[0124] N (i，j) =ε1 (i，j) δ1 (i，j) γ1 (i，j) N0

[0125] M (i，j) =ε2 (i，j) δ2 (i，j) M0

[0126] Where, N (i，j) It is the force of the photovoltaic array corresponding to the i-th row and j-th column, ε1 (i，j) The influence weight of the wind direction angle corresponding to the force in the i-th row and j-th column is δ1. (i，j) It is the influence weight of the photovoltaic array tilt angle corresponding to the force in the i-th row and j-th column, γ1 (i，j) The force in the i-th row and j-th column corresponds to the attenuation coefficient of the photovoltaic array, where N0 is the initially measured force, and M is the attenuation coefficient. (i，j) It is the bending moment of the photovoltaic array corresponding to the i-th row and j-th column, ε2 (i，j) The influence weight of the wind direction angle corresponding to the bending moment in the i-th row and j-th column, δ2 (i，j) The influence weight of the photovoltaic array tilt angle corresponding to the bending moment in the i-th row and j-th column, M0 is the initially measured bending moment;

[0127] The intermediate quantities are determined based on the forces and bending moments of the photovoltaic array;

[0128] L=μ1N (i，j) +μ2M (i，j)

[0129] Where L is an intermediate quantity, μ1 is the balance weight corresponding to the force, and μ2 is the balance weight corresponding to the bending moment.

[0130] The correction coefficient is determined based on the intermediate value, and the control parameters of the dual-axis tracking bracket are corrected accordingly.

[0131] In this embodiment, the photovoltaic arrays at different locations in the photovoltaic power plant are different and need to be taken into account. Moreover, the forces and bending moments affected by different wind angles and photovoltaic panel tilt angles are different.

[0132] In this embodiment, as Figure 2 As shown, the direction of the bending moment is M. x Because the bending moment in the y-axis direction is much smaller than that in the x-axis direction, the bending moment mentioned here is limited to the x-axis direction.

[0133] In this embodiment, a corresponding correction coefficient is selected from the preset data based on the intermediate value, and the control parameters are corrected.

[0134] It should be noted that corrections and updates are all performed by multiplication.

[0135] By applying the above technical solutions, the controller includes: an acquisition module 201, used to acquire meteorological data released by the meteorological station, establish a photovoltaic array model based on the meteorological data, and determine the theoretical power generation; an establishment module 202, used to establish the solar motion curve based on the meteorological data, and obtain the solar direction parameters based on the motion curve; a first determination module 203, used to determine the theoretical direction value of the dual-axis tracking bracket based on the solar direction parameters, acquire the location information of the photovoltaic array and the current time information, and obtain the initial direction constraint interval; a correction module 204, used to correct the initial direction constraint interval based on the theoretical power generation, and obtain the direction constraint interval; a second determination module 205, used to determine the actual direction value of the dual-axis tracking bracket based on the direction constraint interval, and determine the control parameters of the dual-axis tracking bracket based on the actual direction value; and a control module 206, used to establish a wind tunnel simulation based on the meteorological data, obtain the current stress condition of the photovoltaic array, correct the control parameters of the dual-axis tracking bracket based on the stress condition of the photovoltaic array, and perform tracking control based on the corrected control parameters of the dual-axis tracking bracket. This application determines the solar motion curve by measuring the influence quantity and corrects the directional parameter range using theoretical power generation, thereby accurately obtaining the control range value. Furthermore, wind tunnel simulation is used to determine the stress and bending moment of the photovoltaic array. This improves tracking efficiency and accuracy while ensuring control precision.

[0136] Those skilled in the art will understand that the modules in the device in the implementation scenario can be distributed in the device of the implementation scenario as described in the implementation scenario description, or they can be located in one or more devices different from this implementation scenario with corresponding changes. The modules in the above implementation scenario can be merged into one module, or they can be further divided into multiple sub-modules. Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of this application, and not to limit it; although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A wind-resistant photovoltaic support tracking device, comprising a photovoltaic array and a dual-axis tracking support, wherein the dual-axis tracking support includes a controller, characterized in that, The controller includes: The acquisition module is used to acquire meteorological data released by the meteorological station, and to build a photovoltaic array model based on the meteorological data in order to determine the theoretical power generation. A module is established to create the sun's motion curve based on meteorological data and to obtain the sun's direction parameters based on the motion curve. The first determining module is used to determine the theoretical value of the direction of the dual-axis tracking bracket based on the solar direction parameters, obtain the location information of the photovoltaic array and the current time information, and obtain the initial direction constraint interval; The correction module is used to correct the initial directional constraint interval based on the theoretical power generation, thereby obtaining the directional constraint interval. The second determining module is used to determine the actual direction value of the dual-axis tracking bracket based on the direction constraint interval, and to determine the control parameters of the dual-axis tracking bracket based on the actual direction value. The control module is used to establish a wind tunnel simulation based on meteorological data, obtain the current stress condition of the photovoltaic array, correct the control parameters of the dual-axis tracking bracket based on the stress condition of the photovoltaic array, and perform tracking control based on the corrected control parameters of the dual-axis tracking bracket. The acquisition module is specifically used for: Determine the variable parameters of the photovoltaic array model, including diode influence factor and series and parallel resistance, and meteorological data including atmospheric temperature; Determine the variable parameters of the photovoltaic array model, including: Acquire light intensity measurements and solar incidence angles, determine irradiance based on light intensity measurements and solar incidence angles, and determine photovoltaic array temperature based on irradiance and atmospheric temperature; Based on the irradiance and photovoltaic array temperature, the corresponding initial diode influence factor and initial series-parallel resistance are obtained from the first preset database; The calibration amount is determined based on irradiance and photovoltaic array temperature. The formula for the calibration amount is as follows: in, For the purpose of verification, It is the conversion weight corresponding to the irradiance. It is irradiance. The conversion weights correspond to the temperature of the photovoltaic array. Where exp is the temperature of the photovoltaic array, and exp is an exponential function; Based on the calibration quantity, the correction factors of the initial diode influence factor and the initial series-parallel resistance are obtained from the second preset database. The initial diode influence factor and the initial series-parallel resistance are corrected according to the correction factors to obtain the diode influence factor and the series-parallel resistance. A photovoltaic array model is established based on the diode influence factor and series-parallel resistance to determine the theoretical power generation. The establishment module is specifically used for: The parameters of solar orientation include azimuth and elevation. Obtain the sun's position information, and determine the sun's azimuth and altitude angles based on the sun's position information; Meteorological data includes shadow information, which is used to update the azimuth and altitude angles of the sun at the corresponding time point. The azimuth of the sun is updated based on the shadow information of different ranges; in, The updated azimuth. This is the original azimuth angle. The first azimuth constant, This is the second azimuth constant. Let be a third azimuth constant, and exp is an exponential function, a1, b1, c1, and d1 are four preset range values ​​of influence quantities, and n is the number of parameter types affecting the shadow in the shadow information. It is the weight corresponding to the i-th parameter that affects the shadow of the sun. Let be the i-th parameter that affects the shadow of the sun.

2. The wind-resistant photovoltaic support tracking device as described in claim 1, characterized in that, Create a module, specifically for: The solar altitude angle is updated based on the shadow information of different ranges; in, The updated elevation angle, The original elevation angle, The first altitude angle constant, The second altitude angle constant, It is the third elevation angle constant, and exp is an exponential function, a2, b2, c2, and d2 are four preset range values ​​of influence quantities, and n is the number of parameter types affecting the shadow in the shadow information. It is the weight corresponding to the i-th parameter that affects the shadow of the sun. Let be the i-th parameter that affects the shadow of the sun; The solar motion curve is established based on the updated solar altitude angle and azimuth angle.

3. The wind-resistant photovoltaic support tracking device as described in claim 1, characterized in that, The first determining module is specifically used for: Based on the location information of the photovoltaic array and the current time information, the corresponding initial directional constraint interval is obtained from the third preset database; The initial directional constraint range includes the elevation angle range and azimuth angle range of the dual-axis tracking bracket.

4. The wind-resistant photovoltaic support tracking device as described in claim 3, characterized in that, The correction module is specifically used for: Theoretical values ​​for direction include theoretical values ​​for elevation angle and theoretical values ​​for azimuth angle; Based on the theoretical power generation, a correction factor is obtained from the fourth preset array library. The initial directional constraint interval is then corrected based on the correction factor to obtain the first initial directional constraint interval. If the first direction initial constraint interval is closer to the direction theoretical value than the direction initial constraint interval is closer to the direction theoretical value, then the first direction initial constraint interval shall be used as the direction constraint interval. If the initial direction constraint interval is closer to the theoretical direction value than the first initial direction constraint interval, then determine the distance between the first elevation angle interval and the first azimuth angle interval and the theoretical value. The first initial constraint interval includes the first elevation angle interval and the first azimuth angle interval. The first initial constraint interval is closer to the theoretical value of the direction than the first initial constraint interval is closer to the theoretical value of the direction, meaning that both the first elevation angle interval and the first azimuth angle interval are closer to the theoretical value of the direction.

5. The wind-resistant photovoltaic support tracking device as described in claim 4, characterized in that, The correction module is specifically used for: If the distances from the first elevation angle interval and the first azimuth angle interval to the theoretical value are both greater than the distances from the initial direction constraint interval to the theoretical value, then the initial direction constraint interval shall be used as the direction constraint interval. If the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, then the correction factor corresponding to the elevation angle interval is gradually increased, and the elevation angle interval is corrected to obtain a new first elevation angle interval, until the distance between the first elevation angle interval and the theoretical value is greater than the distance between the initial direction constraint interval and the theoretical value, and the product of the correction factor and the preset coefficient is greater than the preset threshold, then the updated first elevation angle interval and the first azimuth angle interval are used as the direction constraint interval; If the distance between the first elevation angle interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value, and the distance between the first azimuth angle interval and the theoretical value is farther than the distance between the initial direction constraint interval and the theoretical value, then determine the magnitude of the theoretical value between the two endpoints of the first azimuth angle interval. If the left endpoint value of the first azimuth interval is greater than the theoretical value, the correction factor corresponding to the azimuth interval is gradually reduced, and the azimuth interval is corrected to obtain a new first azimuth interval until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval. If the right endpoint value of the first azimuth interval is less than the theoretical value, the correction factor corresponding to the azimuth interval is gradually increased, and the azimuth interval is corrected to obtain a new first azimuth interval. This continues until the distance between the first azimuth interval and the theoretical value is closer than the distance between the initial direction constraint interval and the theoretical value. The updated first azimuth interval and the first altitude angle interval are then used as the direction constraint interval.

6. The wind-resistant photovoltaic support tracking device as described in claim 1, characterized in that, The control module is specifically used for: The forces and bending moments of the photovoltaic array were determined based on wind tunnel simulation results; in, It is the force of the photovoltaic array corresponding to the i-th row and j-th column. It is the weight of the wind direction angle corresponding to the force in the i-th row and j-th column. It is the weight of the photovoltaic array tilt angle corresponding to the force in the i-th row and j-th column. It is the attenuation coefficient of the photovoltaic array corresponding to the force in the i-th row and j-th column. It is the force measured initially. It is the bending moment of the photovoltaic array corresponding to the i-th row and j-th column. The influence weight of the wind direction angle corresponding to the bending moment in the i-th row and j-th column. The influence weight of the photovoltaic array tilt angle corresponding to the bending moment in the i-th row and j-th column. This is the initial measured bending moment; The intermediate quantities are determined based on the forces and bending moments of the photovoltaic array; Where L is an intermediate quantity. These are the balance weights corresponding to the forces. It is the equilibrium weight corresponding to the bending moment; The correction coefficient is determined based on the intermediate value, and the control parameters of the dual-axis tracking bracket are corrected accordingly.

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