Photovoltaic tracking support horizontal calibration method, device and electronic equipment

Abstract

This invention provides a method, apparatus, and electronic device for horizontal calibration of a photovoltaic tracking bracket. The method includes: acquiring the real-time power generation efficiency ratio between the real-time power of the power supply component to be adjusted and the real-time power of a reference power supply component; and acquiring a first deviation value R of the average power generation efficiency ratio over a first time period relative to the average power generation efficiency ratio over a reference time period. m And to obtain a second deviation value R of the average ratio of power generation efficiency in the second time period relative to the average ratio of power generation efficiency in the base period. e Performing the stent calibration procedure includes: comparing the preset deviation threshold X with the first deviation value R. m Second deviation value R e The comparison is made to adjust the tracking bracket. In summary, this application uses the power supply components inside the photovoltaic tracking bracket to calibrate the bracket, avoiding the increased costs caused by loading external modules. Compared with manual calibration, it also improves calibration efficiency, enabling the photovoltaic tracking bracket of this application to achieve real-time calibration while reducing calibration costs.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic equipment technology, and specifically to a method, apparatus, and electronic device for horizontal calibration of a photovoltaic tracking bracket. Background Technology

[0002] The tilt calibration system of a photovoltaic (PV) tracking bracket enables the PV panel to track sunlight, thereby maximizing the utilization of sunlight. During the operation of the PV tracking bracket system, the PV panel tracks sunlight through units such as a controller and tilt sensors. Due to factors such as the controller's own errors and the control logic of the tilt sensor, the PV tracking bracket will accumulate angular errors after long-term operation, and these errors have a certain degree of randomness.

[0003] In related technologies, angle errors can be eliminated through manual calibration or by loading external modules for calibration. However, manual calibration is time-consuming and cannot be performed in real time. Loading external modules for calibration increases the cost of the tracking controller.

[0004] In summary, how to achieve real-time calibration while reducing calibration costs remains a problem to be solved. Summary of the Invention

[0005] The present invention was made to solve the above-mentioned technical problems, and its purpose is to provide a method, device and electronic device for horizontal calibration of photovoltaic tracking brackets, which can reduce calibration costs while achieving real-time calibration.

[0006] In a first aspect, this application discloses a method for horizontal calibration of a photovoltaic tracking bracket, the method comprising:

[0007] Obtain the real-time power generation efficiency ratio R between the real-time power P of the power supply component to be adjusted and the real-time power P0 of the reference power supply component; the reference power supply component is the power supply component on the reference tracking bracket, and the power supply component to be adjusted is the power supply component on the tracking bracket to be adjusted.

[0008] Based on the real-time power generation efficiency ratio R, obtain the average power generation efficiency ratio R for the first time period. m1 R, the average ratio of power generation efficiency to the baseline period s The first deviation value R m And obtain the average ratio R of power generation efficiency in the second time period. e1 R, the average ratio of power generation efficiency to the baseline period s The second deviation value R e ;

[0009] Performing a stent calibration procedure includes: comparing a preset deviation threshold X with a first deviation value R. m Second deviation value R e Comparison,

[0010] If Rm > X and Re < -X, rotating the tracking support to be adjusted towards a first orientation;

[0011] If Rm < X and Re > -X, rotating the tracking support to be adjusted towards a second orientation, the first orientation being opposite to the second orientation.

[0012] Optionally, after adjusting the tracking support to be adjusted under the condition of Rm > X and Re < -X, or Rm < X and Re > -X, the calibration method further comprises:

[0013] performing a circulation step until any one of the conditions Rm = X, Re = -X, Rm > X and Re > -X, Rm < X and Re < -X is satisfied; wherein the circulation step comprises:

[0014] acquiring R, R m and R e .

[0015] Optionally, the support calibration process comprises:

[0016] adjusting the tracking support to be adjusted by a preset unit angle under the condition of Rm > X and Re < -X, or Rm < X and Re > -X.

[0017] Optionally, before acquiring the real-time power generation efficiency ratio R, a data cleaning process is further comprised, and the data cleaning process comprises:

[0018] performing data cleaning on the real-time power P0 of the reference power supply component that is outside an interval threshold to obtain the cleaned real-time power P0 of the reference power supply component;

[0019] and / or,

[0020] performing data cleaning on the real-time power P of the to-be-adjusted power supply component that is outside an interval threshold to obtain the cleaned real-time power P of the to-be-adjusted power supply component.

[0021] Optionally, performing data cleaning on the real-time power P0 of the reference power supply component that is outside the interval threshold to obtain the cleaned real-time power P0 of the reference power supply component comprises:

[0022] fitting the real-time power of the reference power supply component under different data frames to obtain a data frame-real-time power curve of the reference power supply component;

[0023] in a unit time window of the data frame-real-time power curve of the reference power supply component, acquiring the deviation degree D1 of the real-time power of the reference power supply component:

[0024] D1 = (X1 - μ1) / Q1;

[0025] Where μ1 is the average real-time power within a unit time window; X1 is the real-time power at a certain moment within a unit time window; and Q1 is the interquartile range of the real-time power within the time window.

[0026] The deviation degree D1 is compared with the tolerance control parameter t1.

[0027] If -t1 < D < t1, then retain the real-time power X1 corresponding to the deviation level D1;

[0028] If D≤-t1, or D≥t1, then the real-time power X1 corresponds to the degree of cleaning deviation D1.

[0029] Optionally, data cleaning is performed on the real-time power P of the power supply component to be adjusted that is outside the interval threshold. Obtaining the cleaned real-time power P of the power supply component to be adjusted includes:

[0030] By fitting the real-time power of the power supply component to be adjusted under different data frame numbers, the data frame number-real-time power curve of the power supply component to be adjusted is obtained.

[0031] Within the unit time window of the data frame number of the power supply component to be adjusted - the real-time power curve, obtain the deviation degree D2 of the real-time power of the power supply component to be adjusted:

[0032] D2 = (X2 - μ2) / Q2;

[0033] Where μ2 is the average real-time power within a unit time window; X2 is the real-time power at a certain moment within a unit time window; and Q2 is the interquartile range of the real-time power within the time window.

[0034] The deviation degree D2 is compared with the tolerance control parameter t2.

[0035] If -t2 < D < t2, then retain the real-time power X2 corresponding to the deviation degree D2;

[0036] If D2≤-t2, or D2≥t2, then the real-time power X2 corresponds to the degree of cleaning deviation D2.

[0037] Optionally, the first time period is the early limit angle stage, the reference time period is the apparent sun tracking time period, and the second time period is the late limit angle stage;

[0038] The first orientation is the direction of rotation of the tracking bracket to be adjusted from the east limit to the west limit, and the second orientation is the direction of rotation of the tracking bracket to be adjusted from the west limit to the east limit.

[0039] Secondly, this application discloses a photovoltaic tracking bracket horizontal calibration device, comprising:

[0040] The data acquisition module is used to obtain the real-time power generation efficiency ratio R.

[0041] The comparison module is used to obtain a first deviation value Rm and a second deviation value Re based on the real-time power generation efficiency ratio R.

[0042] The calibration module is used to compare a preset deviation threshold X with a first deviation value Rm and a second deviation value Re, respectively. If Rm > X and Re < -X, the tracking bracket to be adjusted is rotated towards a first orientation.<X,Re> In the -X case, rotate the tracking bracket to be adjusted toward the second orientation.

[0043] Thirdly, this application discloses an electronic device, including: a processor and a memory, wherein the memory stores a program or instructions that can run on the processor, and when the program or instructions are executed by the processor, the steps of a photovoltaic tracking bracket horizontal calibration method are implemented.

[0044] Fourthly, this application discloses a readable storage medium on which a program or instruction is stored, and when the program or instruction is executed by a processor, it implements the steps of a photovoltaic tracking bracket horizontal calibration method.

[0045] The beneficial effects of this invention are as follows:

[0046] This application discloses a method for horizontal calibration of a photovoltaic tracking bracket, the method comprising:

[0047] Obtain the real-time power generation efficiency ratio R between the real-time power P of the power supply component to be adjusted and the real-time power P0 of the reference power supply component; the reference power supply component is the power supply component on the reference tracking bracket, and the power supply component to be adjusted is the power supply component on the tracking bracket to be adjusted.

[0048] Based on the real-time power generation efficiency ratio R, obtain the average power generation efficiency ratio R for the first time period. m1 R, the average ratio of power generation efficiency relative to the baseline period s The first deviation value R m And obtain the average ratio R of power generation efficiency in the second time period. e1 R, the average ratio of power generation efficiency relative to the baseline period s The second deviation value R e ;

[0049] Performing a stent calibration procedure includes: comparing a preset deviation threshold X with a first deviation value R. m Second deviation value R e Comparison,

[0050] If Rm>X and Re<-X, then rotate the tracking bracket to be adjusted toward the first orientation;

[0051] If Rm < X and Re > -X, rotate the tracking support to be adjusted toward the second orientation, where the first orientation and the second orientation are opposite to each other.

[0052] In conclusion, in the present application, the power supply assembly inside the photovoltaic tracking support is used to implement calibration of the support, which avoids the cost increase caused by external module loading, improves the calibration efficiency compared with manual calibration, so that the photovoltaic tracking support of the present application can realize real-time calibration while reducing the calibration cost. Description of Drawings

[0053] After reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings, the above features and advantages of the present invention can be better understood. In the drawings, the components are not necessarily drawn to scale, and components with similar related properties or features may have the same or similar reference numerals.

[0054] Figure 1 is a flow control diagram of the present invention;

[0055] Figure 2 is a schematic diagram of a photovoltaic tracking support in an embodiment of the present invention;

[0056] Figure 3 is a diagram of a data cleaning method of the present invention;

[0057] Figure 4 is a diagram of the inclination angle change of the tracking support of the present invention over time;

[0058] Figure 5 is a graph of power generation efficiency ratio for horizontal angle deviation of the support to be adjusted according to the present invention;

[0059] Figure 6 is a comparison diagram of power generation power between a 3° east deviation of horizontal angle and no deviation;

[0060] Figure 7 is a graph of power generation efficiency ratio after horizontal angle correction of the support to be adjusted according to the present invention;

[0061] Figure 8 is a horizontal calibration device for a photovoltaic tracking support of the present invention;

[0062] Figure 9 is a schematic diagram of an electronic device shown in an embodiment of the present invention.

[0063] Description of Reference Numerals:

[0064] 201 - photovoltaic panel, 202 - motor, 203 - cross beam, 204 - main beam,

[0065] 1100 - electronic device, 1101 - communication bus, 1102 - processor, 1103 - ROM, 1104 - RAM, 1105 - communication port. Detailed Implementation

[0066] The present invention will be further described below with reference to specific embodiments and accompanying drawings. More details are set forth in the following description in order to provide a full understanding of the present invention. However, the present invention can obviously be implemented in many other ways different from those described herein. Those skilled in the art can make similar extensions and derivations based on actual application situations without departing from the spirit of the present invention. Therefore, the scope of protection of the present invention should not be limited by the content of this specific embodiment.

[0067] It should be noted that these and other accompanying drawings are merely examples and are not drawn to scale, and should not be construed as limiting the scope of protection of the present invention.

[0068] The following is combined with Figures 1-9 This application will be described in detail.

[0069] Figure 1 This is the flow control diagram of the present invention. Figure 2 This is a schematic diagram of a photovoltaic tracking bracket in one embodiment of the present invention. This application discloses a method for horizontal calibration of a photovoltaic tracking bracket, wherein the photovoltaic tracking bracket is as follows: Figure 2 As shown, common photovoltaic power generation equipment also includes other supporting devices. This embodiment mainly shows an example of the photovoltaic panel at angle 201, so it only involves a part of the components of the photovoltaic power generation equipment.

[0070] exist Figure 2 In the photovoltaic tracking system, a crossbeam 203 is installed on the main beam 204, and a photovoltaic panel 201 is fixed on the crossbeam 203. A motor 202 on the crossbeam 203 drives the crossbeam 203, which in turn drives the photovoltaic panel 201 to rotate, allowing the photovoltaic panel 201 to fully utilize solar energy. The motor 202 (i.e., the tracking drive motor) is generally a DC motor, which can be a brushed DC motor or a brushless DC motor, and is located at the drive point.

[0071] Motor 202 has a motor control line, which is led out from the photovoltaic tracking controller (TCU, Tracker control unit) to control the rotation of motor 202. The TCU is used to centralize information from all sensors and perform real-time calculations of the angle tracking algorithm to control the movement of motor 202 at the drive point. Motor 202 has a current feedback line for the TCU to monitor the current value of motor 202. External sensors are used to receive information such as temperature, wind speed, and wind direction and transmit it to the TCU. The TCU is connected to motor 202 through the motor control line, obtains the current value of motor 202 through the current feedback line of motor 202, and receives information from external sensors. The photovoltaic tracking bracket is also equipped with a power supply component, which is a power supply device of about 100W, specifically for powering the TCU, motor 202, etc. on the bracket.

[0072] In this embodiment, the power values ​​fed back by the power supply component are collected when the photovoltaic panel 201 is at different angles. For example, as shown... Figure 2 As shown, if the angle of photovoltaic panel 201 is α1, that is, the angle between photovoltaic panel 201 (dashed line) and the horizontal line HL in the figure is α1, then the power value of the corresponding power supply component is P1. When the angle of photovoltaic panel 201 (solid line) is α2, that is, the angle between photovoltaic panel 201 (solid line) and the horizontal line HL in the figure is α2, then the power value of the corresponding power supply component is P2. The relationships between other photovoltaic panel 201 angles and power supply component power values ​​are not listed here. Therefore, a series of real-time power values ​​of the power supply components under different angles of photovoltaic panel 201 can be obtained, thus reflecting the change of the power value of the power supply components as photovoltaic panel 201 is under different angle conditions.

[0073] The horizontal calibration method for the photovoltaic tracking bracket in this application is as follows: Figure 1 The following are included:

[0074] Step S100: Select one of the multiple tracking brackets as the reference tracking bracket, and the rest as the tracking brackets to be adjusted. The tracking controller of the reference bracket has been properly leveled. The reference power supply component is the power supply component on the reference tracking bracket, and the power supply component to be adjusted is the power supply component on the tracking bracket to be adjusted. Obtain the real-time power P0 of the reference power supply component and the real-time power P of the power supply component to be adjusted.

[0075] Step S200: Figure 3 This is a diagram of the data cleaning method of the present invention, as shown below. Figure 3 The data cleaning process shown includes steps S210 and / or S210', wherein,

[0076] Step S210 includes: performing data cleaning on the real-time power P0 of the reference power supply component located outside the interval threshold, and obtaining the cleaned real-time power P0 of the reference power supply component; Step S210 further includes:

[0077] Step S211: Fit the real-time power of the reference power supply component under different data frame numbers to obtain the data frame number-real-time power curve of the reference power supply component, such as... Figure 3 As shown;

[0078] Step S212: Within the unit time window of the data frame count of the reference power supply component versus the real-time power curve, obtain the deviation D1 of the real-time power of the reference power supply component.

[0079] D1 = (X1 - μ1) / Q1;

[0080] Among them, the unit time window is Figure 3 In the enlarged view, considering the large amount of real-time power generation data from the power supply components and the susceptibility of output power to changes in irradiance, the data frame count-real-time power curve is first split into multiple data segments. Each data segment corresponds to a unit time window, where μ1 is the average real-time power within the unit time window; X1 is the real-time power at a certain moment within the unit time window; and Q1 is the interquartile range of the real-time power within the time window.

[0081] Step S213: Compare the deviation degree D1 with the tolerance control parameter t1, where the tolerance control parameter t1 is a parameter set manually;

[0082] If -t1 < D < t1, then retain the real-time power X1 corresponding to the deviation level D1;

[0083] If D≤-t1, or D≥t1, then the real-time power X1 corresponds to the degree of cleaning deviation D1.

[0084] In this way, abnormal data outside the range ±t1 are removed, while the real-time power X1 corresponding to the deviation degree D1 retained between the range ±t1 is used as the real-time power P0 of the cleaned reference power supply component to help improve calibration accuracy.

[0085] Step S210' includes: performing data cleaning on the real-time power P of the power supply component to be adjusted that is outside the interval threshold, and obtaining the cleaned real-time power P of the power supply component to be adjusted. Step S210' further includes:

[0086] Step S211': Fit the real-time power of the power supply component to be adjusted under different data frame numbers to obtain the data frame number-real-time power curve of the power supply component to be adjusted, as shown below. Figure 3 As shown;

[0087] Step S212': Within the unit time window of the data frame number of the power supply component to be adjusted - the real-time power curve, obtain the deviation degree D2 of the real-time power of the power supply component to be adjusted.

[0088] D2 = (X2 - μ2) / Q2;

[0089] Where μ2 is the average real-time power within a unit time window; X2 is the real-time power at a certain moment within a unit time window; and Q2 is the interquartile range of the real-time power within the time window.

[0090] Step S213′: Compare the deviation degree D2 with the tolerance control parameter t2, which is a parameter set manually;

[0091] If -t2 < D < t2, then retain the real-time power X2 corresponding to the deviation degree D2;

[0092] If D2≤-t2, or D2≥t2, then the real-time power X2 corresponds to the degree of cleaning deviation D2.

[0093] In this way, data outside the range ±t2 is discarded as outlier data, while the real-time power X2 corresponding to the deviation degree D2 retained between ±t2 is used as the real-time power P of the power supply component to be adjusted after cleaning, thus improving the calibration accuracy.

[0094] Step S300: Obtain the real-time power generation efficiency ratio R between the real-time power P of the power supply component to be adjusted and the real-time power P0 of the reference power supply component, i.e. Ratio curve as shown Figure 5 or Figure 7 As shown;

[0095] Step S400: Obtain the first deviation value R based on the real-time power generation efficiency ratio R. m and the second deviation value R e Among them, the first deviation value R m R is the average ratio of power generation efficiency in the first time period. m1 R, the average ratio of power generation efficiency relative to the baseline period s The deviation value, i.e., R m =R m1 -R s The second deviation value R e R is the average ratio of power generation efficiency in the second time period. e1 R, the average ratio of power generation efficiency relative to the baseline period s The deviation value, i.e., R e =R e1 -R s ;

[0096] Specifically, the first time period, the baseline time period, and the second time period are three time periods that proceed sequentially along the timeline, for example... Figure 4 The first time period shown is the early limit angle stage, the reference time period is the apparent sun tracking stage, and the second time period is the late limit angle stage. To minimize the influence of the north-south terrain, a correction calculation is required to obtain the aforementioned first deviation value R. m and the second deviation value R e Then step S400 further includes:

[0097] Step S410: According to the conventional tracking algorithm, the tracking stages can be divided into: apparent day tracking stage, morning and evening reverse tracking stage, and morning and evening limit angle stage. The power generation efficiency ratio data for the apparent day tracking stage and the morning and evening limit angle stage are taken, specifically:

[0098] Calculate the average power generation efficiency ratio R during the apparent solar tracking phase (i.e., the reference time period) under clear weather conditions. s And calculate the average ratio R of power generation efficiency during the early limit angle stage (i.e., the first time period). m1 The average ratio of power generation efficiency R during the late limit angle stage (second time period) e1 Among them, the average power generation efficiency ratio R during the apparent solar tracking phase is... s The average ratio of power generation efficiency R during the early limit angle stage m1 The average ratio of power generation efficiency R during the late limit angle stage e1 All can be based on such Figure 5 or Figure 7 The real-time power generation efficiency ratio R for the corresponding time period is obtained from the power generation efficiency ratio curve shown in the figure; the method for determining a sunny day can be based on direct or diffuse radiation or classical methods such as power generation.

[0099] Step S420: Obtain the first deviation value R m =R m1 -R s and the second deviation value R e =R e1 -R s ;

[0100] Step S500: Perform the stent calibration process, including: comparing the preset deviation threshold X with the first deviation value R. m Second deviation value R e Compare;

[0101] If Rm > X and Re < -X, then the tracking bracket to be adjusted is rotated by a preset unit angle α in the first orientation. At this time, the real-time power P of the tracking bracket to be adjusted will change with the rotation of the tracking bracket. Then, return to step S100 to obtain the real-time power generation efficiency ratio R and the first deviation value R again. mand a second deviation value R e until any one of the following conditions is satisfied: Rm=X, Re=-X, Rm>X and Re>-X, and Rm<X and Re<-X;

[0102] if Rm<X and Re>-X, rotating the tracking support to be adjusted toward the second orientation by a preset unit angle α, wherein the real-time power P of the tracking support to be adjusted changes with the rotation of the tracking support to be adjusted, and then returning to step S100 to obtain again the real-time power generation efficiency ratio R, the first deviation value R m and the second deviation value R e until any one of the following conditions is satisfied: Rm=X, Re=-X, Rm>X and Re>-X, and Rm<X and Re<-X; wherein the first orientation is opposite to the second orientation.

[0103] For example, Figure 5 is a power generation efficiency ratio curve diagram of horizontal angle deviation of the support to be adjusted in the present invention; Figure 6 is a comparison diagram of power generation power when a horizontal angle deviates eastward by 3° and no deviation; if there is no limit angle restriction, the optimal theoretical tracking angle of the tracking support from morning to night is from -90° to 90°, so when the horizontal angle deviates eastward, the limit angle in the morning is larger than the reference angle, thereby the power generation amount is also higher. Conversely, the limit angle in the afternoon is smaller than the reference angle, and the power generation amount is also smaller. Therefore, if Rm>X and Re<-X, the eastward deviation of the tracking support to be adjusted exceeds 1°, and if Rm<X and Re>-X, the westward deviation of the tracking support to be adjusted exceeds 1°.

[0104] the preset deviation threshold X can be set to 0.5%, the preset unit angle α can be set to 1°, the first orientation is the rotation direction of the tracking support to be adjusted rotating from the east limit position to the west limit position, and the second orientation is the rotation direction of the tracking support to be adjusted rotating from the west limit position to the east limit position.

[0105] for a support with angular deviation, the horizontal angle of the support is adjusted in the opposite direction of the deviation respectively, and α=1° is adjusted each time, for example:

[0106] in combination with Figure 1 it can be known that if Rm>X and Re<-X, rotating the tracking support to be adjusted westward (i.e., the first orientation) by the preset unit angle α=1°, and obtaining again the real-time power generation efficiency ratio R, the first deviation value R m and the second deviation value R e until any one of the following conditions is satisfied: Rm=X, Re=-X, Rm>X and Re>-X, and Rm<X and Re<-X, that is, the tracking support to be adjusted eliminates the power generation difference caused by horizontal deviation;

[0107] If Rm<X and Re>-X, rotate the tracking bracket to be adjusted eastward (i.e., the second orientation) by a preset unit angle α=1°, and acquire the real-time power generation efficiency ratio R and the first deviation value R m and the second deviation value R e until any of the conditions Rm=X, Re=-X, Rm>X and Re>-X, Rm<X and Re<-X is satisfied, that is, the power generation difference caused by horizontal deviation of the tracking bracket to be adjusted is eliminated.

[0108] After correction by the above method, as shown in Figure 7 , the graph of power generation efficiency ratio after horizontal angle correction of the bracket to be adjusted according to the present invention is displayed, that is, the power generation difference caused by horizontal deviation of the tracking bracket to be adjusted is eliminated.

[0109] In summary, in the present application, the power supply component inside the photovoltaic tracking bracket is used to calibrate the bracket, which avoids the cost increase caused by external module loading, and also improves the calibration efficiency compared with manual calibration, so that the photovoltaic tracking bracket of the present application can realize real-time calibration while reducing the calibration cost.

[0110] As shown in Figure 8 , the present application also discloses a horizontal calibration device for a photovoltaic tracking bracket, comprising: an acquisition module, a comparison module and a calibration module. The acquisition module is configured to acquire a real-time power generation efficiency ratio R; the comparison module is configured to acquire a first deviation value Rm and a second deviation value Re according to the real-time power generation efficiency ratio R; the calibration module is configured to compare a preset deviation threshold X with the first deviation value Rm and the second deviation value Re respectively, rotate the tracking bracket to be adjusted toward a first orientation when Rm>X and Re<-X, and rotate the tracking bracket to be adjusted toward a second orientation when Rm<X and Re>-X. The arrangement of the horizontal calibration device can avoid designing and installing an additional calibration module, reduce the calibration cost of the photovoltaic tracking bracket, avoid manual participation, realize automatic horizontal calibration of the tracking bracket, and improve calibration accuracy.

[0111] The horizontal calibration device for a photovoltaic tracking bracket in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The horizontal calibration device for a photovoltaic tracking bracket in the embodiment of the present application may be a device with an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which is not specifically limited in the embodiment of the present application.

[0112] Figure 9This is a schematic diagram of an electronic device according to an embodiment of the present invention. The electronic device 1100 may include an internal communication bus 1101, a processor 1102, a read-only memory (ROM) 1103, a random access memory (RAM) 1104, and a communication port 1105. When applied to a personal computer, the electronic device 1100 may also include a hard disk 1106. The internal communication bus 1101 enables data communication between components of the electronic device 1100. The processor 1102 can perform judgments and issue prompts. In some embodiments, the processor 1102 may consist of one or more processors. The communication port 1105 enables data communication between the electronic device 1100 and external devices. In some embodiments, the electronic device 1100 can send and receive information and data from a network through the communication port 1105. Electronic device 1100 may also include different forms of program storage units and data storage units, such as hard disk 1106, read-only memory (ROM) 1103 and random access memory (RAM) 1104, capable of storing various data files used for computer processing and / or communication, as well as possible programs or instructions executed by processor 1102. The results processed by processor 1102 are transmitted to user equipment through communication port 1105 and displayed on the user interface.

[0113] The above-described photovoltaic tracking bracket horizontal calibration method can be implemented as a computer program, stored in hard disk 1106, and recorded in processor 1102 for execution, so as to implement the photovoltaic tracking bracket horizontal calibration method of this application.

[0114] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described photovoltaic tracking bracket horizontal calibration method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0115] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0116] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Any variations and modifications can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention, without departing from the scope of the invention, fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for horizontal calibration of a photovoltaic tracking bracket, characterized in that, Said method comprises: obtaining a real-time power generation efficiency ratio R between the real-time power P of a power supply component to be adjusted and the real-time power P0 of a reference power supply component; wherein the reference power supply component is a power supply component on a reference tracking support, and the power supply component to be adjusted is a power supply component on a tracking support to be adjusted; Based on the real-time power generation efficiency ratio R, obtain the average power generation efficiency ratio R for the first time period. m1 R, the average ratio of power generation efficiency to the baseline period s The first deviation value R m And obtain the average ratio R of power generation efficiency in the second time period. e1 R, the average ratio of power generation efficiency relative to the baseline period s The second deviation value R e ; Performing a stent calibration procedure includes: comparing a preset deviation threshold X with a first deviation value R. m Second deviation value R e Comparison, if Rm>X and Re<-X, rotating said tracking support to be adjusted towards a first orientation; if Rm<X and Re>-X, rotating said tracking support to be adjusted towards a second orientation, said first orientation being opposite to said second orientation.

2. The calibration method according to claim 1, characterized in that, after adjusting said tracking support to be adjusted for a situation where Rm>X and Re<-X, or Rm<X and Re>-X, said calibration method further comprises: performing said cycling step until any one of the following conditions is satisfied: Rm=X, Re=-X; Rm>X and Re>-X; Rm<X and Re<-X; wherein said cycling step comprises: Get R, R m and R e .

3. The calibration method according to claim 2, characterized in that, said support calibration procedure comprises: adjusting said tracking support to be adjusted by a preset unit angle for a situation where Rm>X and Re<-X, or Rm<X and Re>-X.

4. The calibration method according to claim 2, characterized in that, before obtaining said real-time power generation efficiency ratio R, further comprising a data cleaning procedure, said data cleaning procedure comprises: performing data cleaning on the real-time power P0 of said reference power supply component located outside an interval threshold, to obtain the cleaned real-time power P0 of said reference power supply component; and / or, performing data cleaning on the real-time power P of said power supply component to be adjusted located outside an interval threshold, to obtain the cleaned real-time power P of said power supply component to be adjusted.

5. The calibration method according to claim 4, characterized in that, said performing data cleaning on the real-time power P0 of said reference power supply component located outside an interval threshold and obtaining the cleaned real-time power P0 of said reference power supply component comprises: fitting the real-time power of the reference power supply component under different data frame numbers to obtain a data frame number-real time power curve of the reference power supply component; in a unit time window of the data frame number-real time power curve of the reference power supply component, obtaining a deviation degree D1 of the real-time power of the reference power supply component: D1=(X1-μ1) / Q1; wherein, μ1 is an average value of real-time power in the unit time window; X1 is real-time power corresponding to a certain moment in the unit time window; Q1 is an interquartile range of real-time power in the time window; comparing the deviation degree D1 with a tolerance control parameter t1, if -t1<D<t1, retaining the real-time power X1 corresponding to the deviation degree D1; if D≤-t1 or D≥t1, cleaning the real-time power X1 corresponding to the deviation degree D1.

6. The calibration method according to claim 4, characterized in that, said performing data cleaning on the real-time power P of said power supply component to be adjusted located outside an interval threshold and obtaining the cleaned real-time power P of said power supply component to be adjusted comprises: fitting the real-time power of said power supply component to be adjusted under different data frame numbers to obtain a data frame number-real time power curve of said power supply component to be adjusted; in a unit time window of the data frame number-real time power curve of the power supply component to be adjusted, obtaining a deviation degree D2 of the real-time power of the power supply component to be adjusted: D2 = (X2 - μ2) / Q2; Where μ2 is the average real-time power within a unit time window; X2 is the real-time power at a certain moment within a unit time window; and Q2 is the interquartile range of the real-time power within the time window. The deviation degree D2 is compared with the tolerance control parameter t2. If -t2 < D < t2, then retain the real-time power X2 corresponding to the deviation degree D2; If D2≤-t2, or D2≥t2, then the real-time power X2 corresponds to the degree of cleaning deviation D2.

7. The calibration method according to claim 1, characterized in that, The first time period is the early limit angle stage, the reference time period is the apparent sun tracking time period, and the second time period is the late limit angle stage; The first orientation is the rotation direction of the tracking bracket to be adjusted from the east limit to the west limit, and the second orientation is the rotation direction of the tracking bracket to be adjusted from the west limit to the east limit.

8. A photovoltaic tracking bracket horizontal calibration device, characterized in that, include: The acquisition module is used to obtain the real-time power generation efficiency ratio R; The comparison module is used to obtain the first deviation value Rm and the second deviation value Re based on the real-time power generation efficiency ratio R; The calibration module is used to compare a preset deviation threshold X with a first deviation value Rm and a second deviation value Re, respectively, and rotate the tracking bracket to be adjusted toward a first orientation when Rm>X and Re<-X.<X,Re> In the case of -X, the tracking bracket to be adjusted is rotated toward the second orientation.

9. An electronic device, characterized in that, include: A processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions being executed by the processor to implement the steps of the photovoltaic tracking bracket horizontal calibration method as described in any one of claims 1-7.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the photovoltaic tracking bracket horizontal calibration method as described in any one of claims 1-7.

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