Optimization method for uneven tracking of inclined single-axis photovoltaic tracking support

Abstract

The invention discloses an optimization method for non-uniform tracking of an inclined single-axis photovoltaic tracking support, and the method comprises the following steps: S1, presetting the number of rotation times of a photovoltaic panel every day, and determining the relation between a solar incident angle and time through a solar incident angle algorithm, obtaining a curvilinear relationship of the power generation capacity of the photovoltaic panel along with time change in one day according to the solar incident angle by a photovoltaic power generation algorithm; s2, setting a time period, setting that the time period of each rotation of the photovoltaic panel has a repetition interval, solving a curve of the power generation capacity of the photovoltaic panel after each rotation in the time period along with time change, calculating an intersection point of the curve of the power generation capacity of the photovoltaic panel after each rotation, and designing the intersection point as a rotation time point so as to determine the rotation time, and optimizing the non-uniform tracking method. Rotation time optimization of non-uniform tracking of the photovoltaic tracking support is achieved, the generating capacity of the photovoltaic panel is increased as much as possible within a certain range, and the generating efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to an optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket. Background Art

[0002] The research and development background of the oblique single-axis photovoltaic panel tracking system is closely related to the transformation of the global energy structure and the urgent need for renewable energy. With the rapid development of the world economy, energy consumption has increased dramatically, the reserves of traditional non-renewable energy have decreased rapidly, the ecological environment has been further damaged, and people's demand for clean and renewable energy has increased. In this context, photovoltaic power generation, as an important clean energy, has developed rapidly. However, in the fixed installation mode of the photovoltaic power generation system, since the sunlight is changing all the time, it is impossible to achieve that the sunlight is always directly on the receiving surface of the battery, thus affecting the power generation efficiency. In order to solve this problem, the photovoltaic tracking system came into being. By tracking the movement of the sun in real time and adjusting the spatial angle of the plane of the photovoltaic module, the sunlight is allowed to directly illuminate the photovoltaic array, thereby increasing the amount of solar radiation received by the photovoltaic array and improving the overall power generation of the solar photovoltaic power generation system.

[0003] As a type of photovoltaic tracking system, the inclined single-axis photovoltaic panel tracking system has its unique advantages. Compared with traditional fixed brackets, the inclined single-axis tracking system can significantly increase the power generation of photovoltaic power stations. Through optimized design, it can withstand wind speeds in extreme environments, reduce space occupation, and reduce overall system costs. In addition, with the application of digitalization and artificial intelligence technology, the performance of photovoltaic tracking systems has been further improved. Intelligent control technology enables photovoltaic modules to be adjusted in real time according to lighting conditions to obtain the best power generation angle.

[0004] At present, photovoltaic tracking systems have not been widely adopted in the industry. The main obstacle is the slow movement of the sun relative to the earth, which makes it difficult to maintain the stability of the mechanical system while pursuing high-precision real-time tracking. In addition, the real-time tracking operation requires the electric device inside the system to be activated for a long time, which leads to high energy consumption. Under conditions of insufficient light intensity, this energy consumption may even cause a negative deviation in the overall energy efficiency ratio of the system, that is, the actual benefits are lower than the input costs. In view of this problem, studying how to enhance the stability of the mechanical system and reduce energy consumption while improving the power generation efficiency of photovoltaic power generation systems has important academic value and practical application potential for promoting the development of photovoltaic technology.

[0005] The Chinese patent with the publication number CN107544562A discloses a PLC-based tilted single-axis photovoltaic automatic tracking control device and method, including a PLC, a wireless communication device for wireless communication with the outside connected to the PLC; a text display for displaying the current photovoltaic bracket operation parameters; an angle sensor for obtaining the current tilted single-axis photovoltaic bracket inclination; an anemometer for obtaining the wind speed in the current external environment; a proximity switch for limiting the starting position of the tilted single-axis photovoltaic bracket; an east limit switch for limiting the east tilt of the tilted single-axis photovoltaic bracket; a west limit switch for limiting the west tilt of the tilted single-axis photovoltaic bracket; and a motor for adjusting the tilt of the tilted single-axis photovoltaic bracket. The tilt of the current tilted single-axis photovoltaic bracket is obtained through the PLC, and the tracking angle is obtained according to the difference between the actual angle of the current sun and the tilt, and the tilt of the tilted single-axis photovoltaic bracket is adjusted in the east-west direction, so that the sun's rays are always perpendicular to the photovoltaic component panel supported by the tilted single-axis photovoltaic bracket. This invention requires the control device to be in an activated state for a long time, which may cause a high energy consumption problem. Summary of the invention

[0006] The present invention provides an optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket to solve the problems existing in the prior art.

[0007] To achieve the above object, the present invention provides an optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket, comprising the following steps:

[0008] S1: The number of rotations of the photovoltaic panel per day is preset, and the relationship between the solar incidence angle and time is determined by the solar incidence angle algorithm. Then, the photovoltaic power generation algorithm obtains the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incidence angle.

[0009] S2: Set a time period, and set a repeated interval in the time period of each photovoltaic panel rotation, find the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period, and calculate the intersection of the photovoltaic panel power generation curve after each rotation, and design the intersection as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

[0010] Preferably, the relationship between the solar incidence angle and time is determined by the solar incidence angle algorithm as follows:

[0011] The relationship between the solar altitude angle and time is as follows:

[0012] α=θ r *(t-t0)

[0013] Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour; t is the time; t0 is the sunrise time.

[0014] The relationship between the solar altitude angle and the solar incidence angle is as follows:

[0015] θ ω +θ i +α0=α

[0016] In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial inclination angle between the photovoltaic panel and the ground.

[0017] Therefore, the relationship between the solar incident angle and time is:

[0018] θ ω =θ r *(t-t0)-θ i -α0

[0019] In the formula, θ ω is the solar incidence angle.

[0020] Preferably, the initial tilt angle data between the photovoltaic panel and the ground and the final tilt angle data between the photovoltaic panel and the ground are collected, and the rotation angle of the photovoltaic panel at the i-th rotation is calculated according to the preset number of rotations of the photovoltaic panel per day, specifically:

[0021] θ i =(α1-α0) / m*i

[0022] In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, …, m.

[0023] Preferably, the photovoltaic power generation algorithm obtains a curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incident angle, which is specifically:

[0024] Q=P*η*S*cosθ ω

[0025] Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

[0026] On the other hand, the present invention provides an optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket, including a photovoltaic power generation prediction module and a photovoltaic panel rotation optimization module.

[0027] The photovoltaic power generation prediction module is used to preset the number of rotations of the photovoltaic panel every day, determine the relationship between the solar incidence angle and time through the solar incidence angle algorithm, and then use the photovoltaic power generation algorithm to obtain the curve relationship between the power generation of the photovoltaic panel and time in one day based on the solar incidence angle.

[0028] The photovoltaic panel rotation module is used to set the time period and set the time period for each photovoltaic panel rotation to have a repeated interval, and to obtain the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period. At the same time, the intersection of the photovoltaic panel power generation curve after each rotation is calculated, and the intersection is designed as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

[0029] Preferably, the relationship between the solar incident angle and time determined by the solar incident angle algorithm in the photovoltaic power generation prediction module is specifically:

[0030] The relationship between the solar altitude angle and time is as follows:

[0031] α=θ r *(t-t0)

[0032] Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour; t is the time; t0 is the sunrise time.

[0033] The relationship between the solar altitude angle and the solar incidence angle is as follows:

[0034] θ ω +θ i +α0=α

[0035] In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial inclination angle between the photovoltaic panel and the ground.

[0036] Therefore, the relationship between the solar incident angle and time is:

[0037] θ ω =θ r *(t-t0)-θ i -α0

[0038] In the formula, θ ω is the solar incidence angle.

[0039] Preferably, the photovoltaic power generation prediction module collects the initial tilt angle data between the photovoltaic panel and the ground, and the final tilt angle data between the photovoltaic panel and the ground, and calculates the rotation angle of the photovoltaic panel at the i-th rotation according to the preset number of rotations of the photovoltaic panel per day, specifically:

[0040] θ i=(α1-α0) / m*i

[0041] In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, …, m.

[0042] Preferably, in the photovoltaic power generation prediction module, the photovoltaic power generation algorithm obtains the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incident angle, which is specifically:

[0043] Q=P*η*S*cosθ ω

[0044] Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

[0045] On the other hand, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket as described in any embodiment of the present invention when executing the computer program.

[0046] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for optimizing uneven tracking of an inclined single-axis photovoltaic tracking bracket as described in any embodiment of the present invention is implemented.

[0047] Compared with the prior art, the present invention has the following technical effects:

[0048] The present invention relies on relatively scientific mathematical operations to analyze the power generation of the photovoltaic panel after rotation, finds a scientific and reasonable rotation moment, effectively optimizes the oblique single-axis photovoltaic uneven tracking method, increases the power generation of the photovoltaic panel as much as possible within a certain range, and improves the power generation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is an overall flow chart of the optimization method of uneven tracking of the inclined single-axis photovoltaic tracking bracket described in the present invention;

[0050] Figure 2 is a schematic diagram of the initial tilt angle of the photovoltaic panel of the present invention;

[0051] Figure 3 is a schematic diagram of the final tilt angle of the photovoltaic panel according to the present invention;

[0052] Figure 4is a schematic diagram of the initial position of the photovoltaic panel of the present invention when it rotates three times;

[0053] Figure 5 It is a schematic diagram of the photovoltaic panel of the present invention rotating for the first time when the photovoltaic panel rotates three times in a day;

[0054] Figure 6 It is a schematic diagram of the photovoltaic panel of the present invention rotating for the second time when the photovoltaic panel rotates three times in a day;

[0055] Figure 7 is a schematic diagram of the photovoltaic panel of the present invention rotating for the third time when the photovoltaic panel rotates three times in a day;

[0056] Figure 8 It is a schematic diagram of the photovoltaic panel of the present invention rotating for the first time when the photovoltaic panel rotates a total of 4 times in one day;

[0057] Fig. 9 It is a schematic diagram of the photovoltaic panel of the present invention rotating for the second time when the photovoltaic panel rotates a total of 4 times in one day;

[0058] Fig.10 It is a schematic diagram of the photovoltaic panel of the present invention rotating for the third time when the photovoltaic panel rotates a total of 4 times in one day;

[0059] Fig.11 It is a schematic diagram of a power generation curve of a photovoltaic panel rotating three times in one day according to the present invention;

[0060] Fig.12 It is a schematic diagram of a power generation curve with a comparison of a photovoltaic panel rotating three times in one day according to the present invention;

[0061] Fig.13 It is a schematic diagram of a power generation curve of a photovoltaic panel rotating 4 times in one day according to the present invention;

[0062] Fig.14 It is a schematic diagram of a power generation curve with a comparison showing that a photovoltaic panel rotates four times in one day as described in the present invention. DETAILED DESCRIPTION

[0063] In order to make the objectives, technical solutions and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in combination with specific embodiments of the present application and with reference to the accompanying drawings.

[0064] Embodiment 1

[0065] This embodiment provides an optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket. By determining the relationship between the solar incident angle and time, and obtaining the light intensity absorbed by the photovoltaic panel after each rotation, the photovoltaic panel area and the photoelectric conversion coefficient, the photovoltaic panel power generation curve within one day is obtained, and the intersection of the photovoltaic panel power generation curve after each rotation is obtained, so as to determine the rotation time and optimize the photovoltaic panel rotation time. Figure 1 As shown, the following steps are included:

[0066] S1: The number of rotations of the photovoltaic panel per day is preset, and the relationship between the solar incidence angle and time is determined by the solar incidence angle algorithm. Then, the photovoltaic power generation algorithm obtains the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incidence angle.

[0067] As a preferred implementation of this embodiment, the relationship between the solar incident angle and time is determined by the solar incident angle algorithm as follows:

[0068] The relationship between the solar altitude angle and time is as follows:

[0069] α=θ r *(t-t0)

[0070] Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour. To simplify the calculation, 15° per hour can be taken as the calculation value; t is the time; t0 is the sunrise time.

[0071] The relationship between the solar altitude angle and the solar incidence angle is as follows:

[0072] θ ω +θ i +α0=α

[0073] In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial inclination angle between the photovoltaic panel and the ground.

[0074] Therefore, the relationship between the solar incident angle and time is:

[0075] θ ω =θ r *(t-t0)-θ i -α0

[0076] In the formula, θ ω is the solar incidence angle.

[0077] As a preferred implementation of this embodiment, the initial tilt angle data between the photovoltaic panel and the ground and the final tilt angle data between the photovoltaic panel and the ground are collected, and the rotation angle of the photovoltaic panel at the i-th rotation is calculated according to the preset number of rotations of the photovoltaic panel per day, specifically:

[0078] θ i =(α1-α0) / m*i

[0079] In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, …, m.

[0080] As a preferred implementation of this embodiment, the photovoltaic power generation algorithm obtains the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incident angle as follows:

[0081] Q=P*η*S*cosθ ω

[0082] Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

[0083] S2: Set a time period, and set a repeated interval in the time period of each photovoltaic panel rotation, find the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period, and calculate the intersection of the photovoltaic panel power generation curve after each rotation, and design the intersection as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

[0084] In order to verify the effectiveness and superiority of the method provided in this embodiment, some specific cases are provided below:

[0085] First, the photovoltaic panel rotates three times a day as an application example. To simplify the analysis, the photovoltaic panel is only rotated in the east and west directions. According to the actual use of the photovoltaic panel, the initial tilt angle of the photovoltaic panel is set to 45°. Figure 2 As shown in the figure, the panel faces east. The final tilt angle of the photovoltaic panel is also 45°. Figure 3 As shown in the figure, the panel faces west. Therefore, the total rotation angle of the photovoltaic panel is 90°. The initial position is as shown in the figure. Figure 4 As shown, in this embodiment, the analysis is based on the case where the sunlight crosses the normal line of the photovoltaic panel. The angle between the sunlight and the normal line of the photovoltaic panel is the solar incident angle θ ω , the angle between the extended line of the sun's rays and the ground is the solar altitude angle α. In this embodiment, the photoelectric conversion efficiency η is 20%, and the area S of each photovoltaic panel is 37.85 square meters.

[0086] Attached Figure 5 The figure shows the first rotation of the photovoltaic panel when it rotates three times in a day. The relationship between the solar incidence angle and time is determined by the solar incidence angle algorithm:

[0087] θ ω =15*t-165°

[0088] Attached Figure 6 This is the second rotation of the photovoltaic panel when it rotates three times in a day. The relationship between the solar incident angle and time is determined by the solar incident angle algorithm:

[0089] θ ω =15*t-195°

[0090] Attached Figure 7 This is the case where the photovoltaic panel rotates three times in a day. At this time, the photovoltaic panel has rotated to the final state. According to the solar incidence angle algorithm, the relationship between the solar incidence angle and time is determined as follows:

[0091] θ ω =15*t-225°

[0092] In view of this, the following example uses the case where the photovoltaic panel rotates four times a day. The biggest difference between rotating the photovoltaic panel four times a day and rotating it three times a day is that the photovoltaic panel rotates at different angles each time. From the solar incidence angle algorithm, it can be seen that when the photovoltaic panel rotates three times a day, it rotates 30° each time, while when the photovoltaic panel rotates four times a day, it rotates 22.5° each time.

[0093] Attached Figure 8 This is the first rotation of the photovoltaic panel when it rotates four times in a day. At this time, the photovoltaic panel rotates 22.5°, and the angle between the extended line of the photovoltaic panel and the ground plane is also 22.5°. At this time, the acute angle between the normal line of the photovoltaic panel and the ground plane is 67.5°. According to the solar incidence angle algorithm, the relationship between the solar incidence angle and time is:

[0094] θ ω =15*t-157.5°

[0095] Attached Fig. 9 This is the second rotation of the photovoltaic panel when it rotates four times in a day. At this time, the photovoltaic panel rotates 45 degrees and is parallel to the ground plane. At this time, the normal line of the photovoltaic panel is perpendicular to the ground. According to the solar incidence angle algorithm, the relationship between the solar incidence angle and time is determined as follows:

[0096] θ ω =15*t-180°

[0097] Attached Fig.10This is the third rotation of the photovoltaic panel when it rotates four times in a day. At this time, the photovoltaic panel has rotated 67.5° compared to the initial position, and the angle between the extended line of the photovoltaic panel and the ground plane is 22.5°. At this time, the acute angle between the normal line of the photovoltaic panel and the ground plane is 67.5°. According to the solar incidence angle algorithm, the relationship between the solar incidence angle and time is determined as follows:

[0098] θ ω =15*t-202.5°

[0099] When the photovoltaic panel rotates a total of 4 times in one day, the fourth rotation is the final situation of the photovoltaic panel rotation. The specific analysis is the same as the final situation of rotating a total of 3 times in one day, which will not be repeated here.

[0100] See also Fig.11 As shown in the figure, it is a schematic diagram of the power generation curve of the photovoltaic panel rotating three times in one day drawn by the software. As can be seen from the figure, the power generation of the photovoltaic panel in one day is a segmented curve (attached Fig.11 Each curve represents the power generation curve of the photovoltaic panel in the initial state and each rotation within a specified time period. The ideal curve is the yexpr1 curve, which is obtained by mathematically fitting the relevant data. In this embodiment, the part of the curve that is less than 0 is ignored for research. Fig.11 It can be seen that compared with the ideal power generation curve, the power generation obtained by the photovoltaic panel rotating three times in one day has a certain range of loss, but it can be as close to the ideal power generation curve as possible. Fig.12 For the attached Fig.11 The comparison curve diagram is added on the basis of the photovoltaic panel, which is parallel to the ground plane (see Appendix Fig.12 Compared with the yexpr6 curve in the figure, the photovoltaic panel rotates three times in one day, which can greatly increase the power generation and has a significant improvement effect. Therefore, the design method of this embodiment has practical significance.

[0101] See also Fig.13 As shown in the figure, it is a schematic diagram of the power generation curve of the photovoltaic panel rotating 4 times in one day drawn by the software. In the figure, the yexpr1 curve is the ideal power generation curve, and the yexpr2, yexpr3, yexpr4, yexpr5, and yexpr6 curves are the power generation curves of the photovoltaic panel in the initial state and each rotation within the specified time period. It can be seen from the figure that the power generation curve of the photovoltaic panel when it rotates 4 times in one day is also a segmented curve. Although there is a certain degree of loss compared to the ideal power generation curve, it is very close to the ideal curve. Fig.14 For the attached Fig.13A curve diagram of a control is added on the basis of the control curve, and the control curve is the case where the photovoltaic panel is stationary and parallel to the ground plane. Since the photovoltaic panel rotates 4 times in a day, when it rotates for the second time, the photovoltaic panel is also parallel to the ground plane, so the control curve is the curve of the second time when the photovoltaic panel rotates for a longer time period. By comparison, it can be seen that the photovoltaic panel rotates 4 times in a day, which greatly improves the power generation compared to the case where the photovoltaic panel does not rotate, making the design method of this embodiment have practical significance.

[0102] Embodiment 2

[0103] Accordingly, the present embodiment provides an optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket, including a photovoltaic power generation prediction module and a photovoltaic panel rotation optimization module.

[0104] The photovoltaic power generation prediction module is used to preset the number of rotations of the photovoltaic panel every day, determine the relationship between the solar incidence angle and time through the solar incidence angle algorithm, and then use the photovoltaic power generation algorithm to obtain the curve relationship between the power generation of the photovoltaic panel and time in one day based on the solar incidence angle.

[0105] The photovoltaic panel rotation module is used to set the time period and set the time period for each photovoltaic panel rotation to have a repeated interval, and to obtain the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period. At the same time, the intersection of the photovoltaic panel power generation curve after each rotation is calculated, and the intersection is designed as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

[0106] As a preferred implementation of this embodiment, the relationship between the solar incident angle and time is determined by the solar incident angle algorithm in the photovoltaic power generation prediction module as follows:

[0107] The relationship between the solar altitude angle and time is as follows:

[0108] α=θ r *(t-t0)

[0109] Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour; t is the time; t0 is the sunrise time.

[0110] The relationship between the solar altitude angle and the solar incidence angle is as follows:

[0111] θ ω +θ i +α0=α

[0112] In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial inclination angle between the photovoltaic panel and the ground.

[0113] Therefore, the relationship between the solar incident angle and time is:

[0114] θ ω =θ r *(t-t0)-θ i -α0

[0115] In the formula, θ ω is the solar incidence angle.

[0116] As a preferred implementation of this embodiment, the photovoltaic power generation prediction module collects the initial tilt angle data between the photovoltaic panel and the ground, the final tilt angle data between the photovoltaic panel and the ground, and calculates the rotation angle of the photovoltaic panel at the i-th rotation according to the preset number of rotations of the photovoltaic panel per day, specifically:

[0117] θ i =(α1-α0) / m*i

[0118] In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, …, m.

[0119] As a preferred implementation of this embodiment, the photovoltaic power generation prediction module uses the photovoltaic power generation algorithm to obtain the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incident angle:

[0120] Q=P*η*S*cosθ ω

[0121] Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

[0122] Embodiment 3

[0123] This embodiment provides an electronic device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket as described in any embodiment of the present invention.

[0124] Embodiment 4

[0125] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for optimizing uneven tracking of an inclined single-axis photovoltaic tracking bracket as described in any embodiment of the present invention is implemented.

[0126] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0127] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0128] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0130] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket, characterized in that: The following steps are involved: S1: preset the number of rotations of the photovoltaic panel per day, determine the relationship between the solar incidence angle and time through the solar incidence angle algorithm, and then use the photovoltaic power generation algorithm to obtain the curve relationship between the power generation of the photovoltaic panel in one day and time according to the solar incidence angle; S2: Set a time period, and set a repeated interval in the time period of each photovoltaic panel rotation, find the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period, and calculate the intersection of the photovoltaic panel power generation curve after each rotation, and design the intersection as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

2. The optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 1 is characterized in that: The relationship between the solar incidence angle and time is determined by the solar incidence angle algorithm as follows: The relationship between the solar altitude angle and time is as follows: α=θ r *(t-t0) Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour; t is the time; t0 is the sunrise time; The relationship between the solar altitude angle and the solar incidence angle is as follows: i ω +θ i +α0=α In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial tilt angle between the photovoltaic panel and the ground; Therefore, the relationship between the solar incident angle and time is: i ω =θ r *(t-t0)-θ i -a0 In the formula, θ ω is the solar incidence angle.

3. The optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 2 is characterized in that: Collect the initial tilt angle data between the photovoltaic panel and the ground, and the final tilt angle data between the photovoltaic panel and the ground, and calculate the rotation angle of the photovoltaic panel at the i-th rotation according to the preset number of rotations of the photovoltaic panel per day, specifically: i i =(α1-α0) / m*i In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, ..., m.

4. The optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 2 is characterized in that: The photovoltaic power generation algorithm obtains the curve relationship between the power generation of photovoltaic panels in one day and time according to the solar incident angle: Q=P*η*S*cosθ ω Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

5. An optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket, characterized in that: It includes photovoltaic power generation prediction module and photovoltaic panel rotation optimization module; The photovoltaic power generation prediction module is used to preset the number of rotations of the photovoltaic panel every day, determine the relationship between the solar incident angle and time through the solar incident angle algorithm, and then use the photovoltaic power generation algorithm to obtain the curve relationship between the photovoltaic panel's power generation and time in one day according to the solar incident angle; The photovoltaic panel rotation module is used to set the time period and set the time period for each photovoltaic panel rotation to have a repeated interval, and to obtain the curve of the power generation changing with time after each rotation of the photovoltaic panel within the time period. At the same time, the intersection of the photovoltaic panel power generation curve after each rotation is calculated, and the intersection is designed as the rotation time point, so as to determine the rotation moment and optimize the uneven tracking method.

6. The optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 5 is characterized in that: The photovoltaic power generation prediction module uses the solar incident angle algorithm to determine the relationship between the solar incident angle and time: The relationship between the solar altitude angle and time is as follows: α=θ r *(t-t0) Where α is the solar altitude angle; θ r is the angle of the sun's rotation per hour; t is the time; t0 is the sunrise time; The relationship between the solar altitude angle and the solar incidence angle is as follows: i ω +θ i +α0=α In the formula, θ ω is the solar incidence angle; α is the solar altitude angle; θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α0 is the initial tilt angle between the photovoltaic panel and the ground; Therefore, the relationship between the solar incident angle and time is: i ω =θ r *(t-t0)-θ i -a0 In the formula, θ ω is the solar incidence angle.

7. The optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 6, characterized in that: The photovoltaic power generation prediction module collects the initial tilt angle data between the photovoltaic panel and the ground, and the final tilt angle data between the photovoltaic panel and the ground, and calculates the rotation angle of the photovoltaic panel at the i-th rotation according to the preset number of rotations of the photovoltaic panel per day, specifically: i i =(α1-α0) / m*i In the formula, θ i is the rotation angle of the photovoltaic panel during the i-th rotation; α1 is the final tilt angle between the photovoltaic panel and the ground; α0 is the initial tilt angle between the photovoltaic panel and the ground; m is the number of rotations of the photovoltaic panel per day, i = 1, 2, ..., m.

8. The optimization system for uneven tracking of an inclined single-axis photovoltaic tracking bracket according to claim 6, characterized in that: In the photovoltaic power generation prediction module, the photovoltaic power generation algorithm obtains the curve relationship between the power generation of the photovoltaic panel in one day and the time according to the solar incident angle, which is specifically: Q=P*η*S*cosθ ω Where, Q is the power generation of the photovoltaic panel after rotation; P is the original sunny day irradiance; η is the photoelectric conversion efficiency; S is the area of ​​the photovoltaic panel; θ ω is the solar incidence angle.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the optimization method for uneven tracking of an inclined single-axis photovoltaic tracking bracket as described in any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for optimizing uneven tracking of an inclined single-axis photovoltaic tracking bracket according to any one of claims 1 to 4 is implemented.

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