Photovoltaic module self-test method, device and equipment

Abstract

The present application provides a photovoltaic module self-inspection method, device and equipment, which relates to the field of solar photovoltaic technology. The method includes scanning each photovoltaic panel in the photovoltaic module to determine the maximum power of each photovoltaic panel; dividing the maximum power of each photovoltaic panel into m groups according to the numerical value, and determining the abnormal critical value of the photovoltaic module based on the maximum power of each photovoltaic panel in the middle three groups; detecting whether each photovoltaic panel is abnormal based on the abnormal critical value, and recording the number of abnormalities of each photovoltaic panel. When the number of abnormalities of any photovoltaic panel is greater than or equal to the first abnormal threshold, a first prompt message is output, wherein m is an odd number greater than or equal to 5, and a photovoltaic panel is abnormal when its maximum power is less than the abnormal critical value. The technical solution provided by the present application can timely prompt the user when a photovoltaic panel is abnormal, while reducing the possibility of misjudgment.

Description

Technical Field

[0001] The present application relates to the field of solar photovoltaic technology, and in particular to a photovoltaic module self-test method, device and equipment. Background Art

[0002] With the development of solar photovoltaic technology, the photovoltaic architecture of string type + direct current (DC) optimizer is increasingly being used in people's daily lives due to its advantages such as moderate cost, low failure rate and suitable power.

[0003] Unlike large-scale string-structured photovoltaic power stations that are regularly maintained, users often neglect to regularly inspect photovoltaic modules. This results in users being unable to detect abnormalities in time when photovoltaic panels fail or become unclean. Summary of the Invention

[0004] In view of this, the present application provides a photovoltaic module self-inspection method, device and equipment for detecting the operating status of the photovoltaic panel in the photovoltaic module, and promptly notifying the user of the photovoltaic panel abnormality when the photovoltaic panel is abnormal.

[0005] To achieve the above objectives, in a first aspect, embodiments of the present application provide a photovoltaic module self-test method, comprising:

[0006] Scanning each photovoltaic panel in the photovoltaic assembly to determine the maximum power of each photovoltaic panel;

[0007] Divide the maximum power of each photovoltaic panel into m groups in sequence according to the numerical value, where m is an odd number greater than or equal to 5;

[0008] determining an abnormal critical value of the photovoltaic assembly according to the maximum power of each photovoltaic panel in the three middle groups;

[0009] Detecting whether each photovoltaic panel is abnormal according to the abnormal critical value, and recording the number of abnormalities of each photovoltaic panel, wherein the photovoltaic panel is abnormal when the maximum power is less than the abnormal critical value;

[0010] When the number of abnormalities detected for any photovoltaic panel is greater than or equal to a first abnormality threshold, a first prompt message is output.

[0011] As an optional implementation of the embodiment of the present application, the method further includes:

[0012] When the number of abnormalities detected in any photovoltaic panel is greater than or equal to a second abnormality threshold, a second prompt message is output, and the second abnormality threshold is greater than the first abnormality threshold.

[0013] As an optional implementation of the embodiment of the present application, the method further includes:

[0014] Before detecting whether each photovoltaic panel is abnormal, obtaining the number of detections of the photovoltaic assembly;

[0015] When the number of detections is greater than a detection number threshold, the number of detections and the number of abnormalities of each photovoltaic panel are cleared.

[0016] As an optional implementation of the embodiment of the present application, when r is equal to 0, each group includes the maximum power of q photovoltaic panels;

[0017] When r is not equal to 0, the first r groups include the maximum power of q+1 photovoltaic panels, and the last mr groups include the maximum power of q photovoltaic panels;

[0018] Wherein, r is the remainder of n divided by m, n is the number of photovoltaic panels in the photovoltaic assembly, and q is the quotient of n divided by m.

[0019] As an optional implementation of the embodiment of the present application, determining the abnormal critical value of the photovoltaic assembly based on the maximum power of each photovoltaic panel in the three middle groups includes:

[0020] Determine an average value of the maximum power of each photovoltaic panel in the i-th group, where the i-th group is the group in the middle of the m groups;

[0021] The abnormal critical value of the photovoltaic component is determined according to the average value, the first interval value, the second interval value and the proportional coefficient, wherein the first interval value is the last maximum power in the i-1th group, and the second interval value is the last maximum power in the i+1th group.

[0022] As an optional implementation of the embodiment of the present application, the proportional coefficient is represented by δ, 1≤δ≤1.5.

[0023] As an optional implementation of the embodiment of the present application, the method further includes:

[0024] Receive setup information;

[0025] determining a target photovoltaic panel in the photovoltaic assembly according to the setting information;

[0026] The scanning of each photovoltaic panel in the photovoltaic assembly includes:

[0027] Scanning each photovoltaic panel in the photovoltaic assembly except the target photovoltaic panel.

[0028] In a second aspect, an embodiment of the present application provides a photovoltaic module self-test device, comprising:

[0029] a determination module, configured to scan each photovoltaic panel in the photovoltaic assembly and determine the maximum power of each photovoltaic panel;

[0030] a grouping module, configured to divide the maximum power of each photovoltaic panel into m groups in sequence according to the value thereof, wherein m is an odd number greater than or equal to 5;

[0031] The determination module is further configured to: determine an abnormal critical value of the photovoltaic assembly based on the maximum power of each photovoltaic panel in the three middle groups;

[0032] a detection module, configured to detect whether each photovoltaic panel is abnormal according to the abnormal critical value, and record the number of abnormalities of each photovoltaic panel, wherein the photovoltaic panel is abnormal when the maximum power is less than the abnormal critical value;

[0033] The prompt module is used to output a first prompt message when the number of abnormalities detected in any photovoltaic panel is greater than or equal to a first abnormality threshold.

[0034] In a third aspect, an embodiment of the present application provides an electronic device comprising: a memory and a processor, the memory being used to store a computer program; the processor being used to execute the method described in the first aspect or any embodiment of the first aspect when calling the computer program.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect or any embodiment of the first aspect.

[0036] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on the electronic device, enables the electronic device to execute any one of the methods described in the first aspect.

[0037] The photovoltaic module self-test solution provided in the embodiment of the present application first scans each photovoltaic panel in the photovoltaic module to determine the maximum power of each photovoltaic panel; then the maximum power of each photovoltaic panel is divided into m groups in sequence according to the numerical value, and the abnormal critical value of the photovoltaic module is determined according to the maximum power of each photovoltaic panel in the middle three groups; then, each photovoltaic panel is detected to be abnormal based on the abnormal critical value, and the number of abnormalities of each photovoltaic panel is recorded. When the number of abnormalities of any photovoltaic panel is detected to be greater than or equal to the first abnormal threshold, a first prompt message is output, wherein m is an odd number greater than or equal to 5, and it is abnormal when the maximum power of the photovoltaic panel is less than the abnormal critical value. In the above scheme, the maximum power of each photovoltaic panel is sorted in order of size, and the maximum power of each sorted photovoltaic panel is divided into m groups in order. According to the maximum power of each photovoltaic panel in the middle three groups, the abnormal critical value of the photovoltaic component is determined. The abnormal critical value determined in this way is closer to the actual situation, and the photovoltaic panel abnormality detection result based on the abnormal critical value is more accurate; in addition, in this scheme, when the number of abnormalities of any photovoltaic panel among the photovoltaic panels is greater than or equal to the first abnormal threshold, the first prompt information is output, which can promptly prompt the user when the photovoltaic panel is abnormal and reduce the possibility of misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of a process flow of a photovoltaic module self-test method provided in one embodiment of the present application;

[0039] Figure 2 This is the principle structure diagram of the MPPT device controlling the photovoltaic panel;

[0040] Figure 3 A schematic flow chart of a photovoltaic module self-test method provided in another embodiment of the present application;

[0041] Figure 4 A schematic diagram of the structure of a photovoltaic module self-test device provided in an embodiment of the present application;

[0042] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] With the development of solar photovoltaic technology, the photovoltaic architecture of string type + direct current (DC) optimizer is increasingly being used in people's daily lives due to its advantages such as moderate cost, low failure rate and suitable power.

[0044] When photovoltaic panels are exposed to different irradiances, the same operating voltage will produce different output power. Furthermore, panel output can vary due to panel failures or other factors. For small energy storage devices such as home energy storage, industrial energy storage, and mobile energy storage, the following conditions can cause photovoltaic panel anomalies: shadows blocking the panels, foreign matter or uncleanness on the panel surface, and internal faults (e.g., short circuits or burnouts).

[0045] The cells in photovoltaic panels typically have a certain amount of series resistance. If the first or second condition described above persists for a long time, it can cause localized temperature rises in the panel, creating a hot spot phenomenon. Heat accumulates in these areas, causing temperatures to rise to as high as 200°C. This can cause irreversible damage to the panel's physical structure and, in some cases, even cause fires. Therefore, regular maintenance of the panels is essential.

[0046] Unlike large-scale string-based photovoltaic power plants that require regular maintenance, string-based household photovoltaic panels often neglect regular inspections of the panels, and the intervals between inspections are generally long. This results in users being unable to promptly detect and address abnormalities such as panel failure or unclean panels, leading to reduced power generation. In addition to household energy storage devices, mobile energy storage devices (such as RVs and portable energy storage photovoltaic panels) also face the aforementioned issues. Users of mobile energy storage devices typically cannot promptly inspect the panels and therefore cannot promptly determine whether there are any abnormalities. This can lead to reduced power generation due to abnormalities, impacting the user experience. Furthermore, if the abnormality of the panels is not detected for an extended period of time, the user may miss the warranty period.

[0047] In view of this, the present application provides a photovoltaic module self-test solution for detecting the operating conditions of the photovoltaic panels in the photovoltaic module, and promptly notifying the user of the photovoltaic panel abnormality when the photovoltaic panel is abnormal.

[0048] Figure 1 A schematic diagram of a self-test method for photovoltaic modules according to an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method may include the following steps:

[0049] S110 : Scan each photovoltaic panel in the photovoltaic assembly to determine the maximum power of each photovoltaic panel.

[0050] Each photovoltaic panel in a photovoltaic module may have its own corresponding maximum power point tracking (MPPT) device. The MPPT device corresponding to each photovoltaic panel can be used to perform a global scan of each photovoltaic panel to determine the maximum power of each photovoltaic panel.

[0051] Figure 2 This is the principle structure diagram of the MPPT device controlling the photovoltaic panel, such as Figure 2 As shown, the photovoltaic panel and load are connected via a DC / DC converter circuit. The MPPT microcontroller unit (MCU) continuously monitors changes in the panel's current or voltage (i.e., global scanning) and adjusts the duty cycle of the DC / DC converter's pulse width modulation (PWM) signal accordingly. Because the photovoltaic panel and DC / DC converter circuit can be considered linear circuits over short periods of time, the maximum output of the photovoltaic panel can be achieved by adjusting the equivalent resistance of the DC / DC converter circuit to always equal the internal resistance of the photovoltaic panel, effectively achieving the panel's MPPT function.

[0052] S120 , dividing the maximum power of each photovoltaic panel into m groups in sequence according to the numerical value.

[0053] Specifically, the maximum power of each photovoltaic panel may be arranged in order from small to large or from large to small. This embodiment will be described hereinafter by taking the arrangement of the maximum power of each photovoltaic panel in order from small to large as an example.

[0054] It is understandable that when there is no abnormality in each photovoltaic panel, the maximum power of each photovoltaic panel has a small difference.

[0055] After the arrangement, the maximum power of each photovoltaic panel can be divided into m groups, where m can be an odd number greater than or equal to 5.

[0056] Specifically, when r is equal to 0, each group may include the maximum power of q photovoltaic panels, where r is the remainder of n divided by m, n is the number of photovoltaic panels in the photovoltaic assembly, and q is the quotient of n divided by m.

[0057] For example, a photovoltaic module contains 15 panels, each uniquely numbered. Arranged from smallest to largest in terms of their maximum power, the panels are numbered 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, and 15. If these panels were divided into five groups, they could be: Group 1 (1, 2, 3), Group 2 (4, 5, 6), Group 3 (7, 8, 9), Group 4 (10, 11, 12), and Group 5 (13, 14, 15). Numbers 1 through 15 in each group correspond to a maximum power. For example, in Group 1, the maximum power of panel 1 is 100W, panel 2 is 100.5W, panel 3 is 101W, and so on. Therefore, the maximum powers corresponding to Group 1 (1, 2, 3) are (100W, 100.5W, 101W).

[0058] When r is not equal to 0, the first r groups may include the maximum power of q+1 photovoltaic panels, and the last mr groups may include the maximum power of q photovoltaic panels.

[0059] For example, a photovoltaic module contains 13 panels, each uniquely numbered. Arranged from smallest to largest in terms of their maximum power, the panels are numbered 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, and 13. If these panels were divided into five groups, they could be: Group 1 (1, 2, 3), Group 2 (4, 5, 6), Group 3 (7, 8, 9), Group 4 (10, 11), and Group 5 (12, 13). Numbers 1 through 13 in each group correspond to a maximum power. For example, in Group 3, the maximum power of panel 7 is 101W, panel 8 is 101.2W, panel 9 is 101.5W, and so on. Therefore, the maximum powers corresponding to Group 3 (7, 8, 9) are (101W, 101.2W, 101.5W).

[0060] S130 : Determine an abnormal critical value of the photovoltaic assembly according to the maximum power of each photovoltaic panel in the three middle groups.

[0061] Specifically, the average value of the maximum power of each photovoltaic panel in the i-th group may be determined first, wherein the i-th group is the group in the middle position among the m groups.

[0062] Then, the abnormal critical value of the photovoltaic module can be determined according to the average value, the first interval value, the second interval value and the proportional coefficient δ.

[0063] Among them, the first interval value is the last maximum power in the i-1th group, and the second interval value is the last maximum power in the i+1th group. δ can be set according to the size and model of the photovoltaic module. The larger δ is, the stronger the discreteness of the data is and the more dispersed the data is. For a stable system with relatively small deviation such as photovoltaic panels, δ can be maintained between 1 and 1.5, that is, 1≤δ≤1.5.

[0064] For example, if the maximum power of each photovoltaic panel is divided into 5 groups: Group 1 (1, 2, 3), Group 2 (4, 5, 6), Group 3 (7, 8, 9), Group 4 (10, 11) and Group 5 (12, 13), then the i-th group is Group 3, and the maximum power corresponding to Group 3 (7, 8, 9) is (101 W, 101.2 W, 101.5 W). The average value of the maximum power of each photovoltaic panel in Group 3 is (101 W + 101.2 W + 101.5 W) / 3 = 101.23 W. The first interval value is the maximum power of 100.9 W corresponding to the photovoltaic panel numbered 6, and the second interval value is the maximum power of 101.9 W corresponding to the photovoltaic panel numbered 11 (at this time, the maximum power of the photovoltaic panel numbered 10 is 101.7 W).

[0065] Specifically, the abnormal critical value of the photovoltaic module can be determined according to the following formula (1):

[0066] P min-x =P D -δ×(P C4 -P C2 ) (1)

[0067] Among them, P min-x is the abnormal critical value of the photovoltaic module during the xth detection, x is the number of detections, P D is the average value, P C4 is the second interval value, P C2 is the first interval value.

[0068] S140 , detecting whether each photovoltaic panel is abnormal according to the abnormality critical value, and recording the number of abnormalities of each photovoltaic panel.

[0069] Specifically, the maximum power of each photovoltaic panel can be compared with the abnormality threshold. If the maximum power of a photovoltaic panel is less than the abnormality threshold, the photovoltaic panel is detected as an abnormal photovoltaic panel, and the abnormality count Rk of the photovoltaic panel is recorded. For example, if the abnormality count Rk of the photovoltaic panel before the current detection is 1, if the photovoltaic panel is abnormal during the current detection, the abnormality count Rk of the photovoltaic panel is 2; if the photovoltaic panel is normal during the current detection, the abnormality count Rk of the photovoltaic panel remains 1. For example, a photovoltaic module includes 13 photovoltaic panels, which are divided into 5 groups according to the maximum power of each photovoltaic panel. The first group is (1, 2, 3), the second group is (4, 5, 6), the third group is (7, 8, 9), the fourth group is (10, 11), and the fifth group is (12, 13). The number in each group represents the number of the photovoltaic panel. Then the i-th group is group 3, and the maximum power corresponding to group 3 (7, 8, 9) is (101W, 101.2W, 101.5W). The average value of the maximum power of each photovoltaic panel in group 3 is (101W+101.2W+101.5W) / 3=101.23W. The first interval value is the maximum power corresponding to photovoltaic panel number 6, which is 100.9W, and the second interval value is the maximum power corresponding to photovoltaic panel number 11, which is 101.9W (at this time, the maximum power of photovoltaic panel number 10 is 101.7W). Taking δ as 1.5 as an example, according to P min-x =P D -δ×(P C4 -P C2 ) Calculate the critical outlier value P min-x , then P min-x =P D -δ×(P C4 -P C2 )=101.23-1.5×(101.9-100.9)=99.73W. At this time, because the maximum power of all photovoltaic panels in group 3 is greater than 99.73W, and the grouping is based on the order of the maximum power of each photovoltaic panel from the smallest to the largest, it is only necessary to determine whether the maximum power of all numbered photovoltaic panels in group 2 is less than the critical abnormal value to determine the abnormal photovoltaic panel. Assuming that in group 2, the maximum power corresponding to photovoltaic panel number 5 is 100.5W, and the maximum power of photovoltaic panel number 4 is 100.4, then there are no abnormal photovoltaic panels in group 2. Assuming that in group 1, the maximum power of photovoltaic panel number 3 is 100.1, and the maximum power of photovoltaic panel number 2 is 99.7, then it can be determined that the maximum output power of photovoltaic panels numbered 2 and numbered 1 is abnormal, and the number of abnormalities Rk of numbered 1 and numbered 2 is recorded as 1.

[0070] During recording, the number of abnormalities of the photovoltaic panel may be associated with the identification of the photovoltaic panel, so as to facilitate subsequent differentiation of the number of abnormalities of each photovoltaic panel.

[0071] The identification of the photovoltaic panel may be the SN code of the photovoltaic panel or the serial number of the photovoltaic panel. In the following description of this embodiment, the identification of the photovoltaic panel is taken as the serial number of the photovoltaic panel as an example for illustrative explanation.

[0072] S150: When the number of abnormalities detected in any photovoltaic panel is greater than or equal to a first abnormality threshold, output a first prompt message.

[0073] Specifically, after recording the number of abnormalities for each photovoltaic panel, the number of abnormalities for each photovoltaic panel can be compared with a first abnormality threshold. If the number of abnormalities for any photovoltaic panel is greater than or equal to the first abnormality threshold, a first prompt message can be output. The first prompt message can be used to urge the user to check the cleanliness of the photovoltaic panel whose abnormality count exceeds the first abnormality threshold and whether there are dark clouds or other obstructions blocking the photovoltaic panel whose abnormality count exceeds the first abnormality threshold.

[0074] The first abnormality threshold may be a fixed value, such as 3, or may be set according to the user's local weather conditions.

[0075] The first prompt information can be sent to the terminal app through the MPPT device to facilitate the user to receive the prompt information in time. The MPPT device can communicate with the terminal through the network or Bluetooth; the first prompt information can also be output to the alarm device through the circuit. When the alarm device receives the first prompt information, the detection warning light can be turned on. In this way, when there is no network signal or the network signal is poor, the user can be reminded to check the photovoltaic panel in time.

[0076] In addition, the photovoltaic modules can be inspected at regular intervals, and the inspection rate can be adjusted according to the usage scenario. For example, if it is a fixed household energy storage, it can be inspected once an hour; if it is a mobile energy storage, the inspection rate can be accelerated, for example, it can be inspected once every 15 minutes.

[0077] Specifically, if a test is performed every 15 minutes, and a photovoltaic assembly includes 13 photovoltaic panels, each with its own unique number, and an update step is performed, in the above embodiment, the first scan is performed in ascending order of maximum power, and the groups are exactly: Group 1 (1, 2, 3), Group 2 (4, 5, 6), Group 3 (7, 8, 9), Group 4 (10, 11), and Group 5 (12, 13), and the number of abnormalities Rk for panels 1 and 2 is recorded as 1. Because the maximum power of each photovoltaic panel changes during the second scan, the grouping is re-performed after the second scan. After sorting and grouping the photovoltaic panels in ascending order according to their maximum power, we obtain Group 1 (3, 2, 7), Group 2 (4, 5, 10), Group 3 (9, 11, 13), Group 4 (1, 12), and Group 5 (6, 8). The numbers in each group represent the number of the photovoltaic panels. The first interval value is the maximum power corresponding to the photovoltaic panel numbered 10, and the second interval value is the maximum power corresponding to the photovoltaic panel numbered 12. According to the above steps S130 and S140, it is determined that panels numbered 3, 2, 7, and 4 are abnormal. At this time, the abnormality count Rk of the photovoltaic panel numbered 2 is 2 (because it was previously 1), and the abnormality counts Rk of the photovoltaic panels numbered 3, 4, and 7 are all updated to 1.

[0078] The photovoltaic module self-test solution provided in the embodiment of the present application first scans each photovoltaic panel in the photovoltaic module to determine the maximum power of each photovoltaic panel; then the maximum power of each photovoltaic panel is divided into m groups in sequence according to the numerical value, and the abnormal critical value of the photovoltaic module is determined according to the maximum power of each photovoltaic panel in the middle three groups; then, each photovoltaic panel is detected to be abnormal based on the abnormal critical value, and the number of abnormalities of each photovoltaic panel is recorded. When the number of abnormalities of any photovoltaic panel is detected to be greater than or equal to the first abnormal threshold, a first prompt message is output, wherein m is an odd number greater than or equal to 5, and it is abnormal when the maximum power of the photovoltaic panel is less than the abnormal critical value. In the above scheme, the maximum power of each photovoltaic panel is sorted in order of size, and the maximum power of each sorted photovoltaic panel is divided into m groups in order. According to the maximum power of each photovoltaic panel in the middle three groups, the abnormal critical value of the photovoltaic component is determined. The abnormal critical value determined in this way is closer to the actual situation, and the photovoltaic panel abnormality detection result based on the abnormal critical value is more accurate; in addition, in this scheme, when the number of abnormalities of any photovoltaic panel among the photovoltaic panels is greater than or equal to the first abnormal threshold, the first prompt information is output, which can promptly prompt the user when the photovoltaic panel is abnormal and reduce the possibility of misjudgment.

[0079] Figure 3 A schematic diagram of a self-test method for photovoltaic modules according to another embodiment of the present invention is shown in FIG. Figure 3 As shown, the method may include the following steps:

[0080] S210: Receive setting information, and determine a target photovoltaic panel in the photovoltaic assembly according to the setting information.

[0081] For mobile energy storage devices, users usually do not place the devices in shadowed areas when charging. If this is unavoidable, users can be prompted to try not to expose the same photovoltaic panel to both high-density radiation and shadows at the same time. For home energy storage devices, the best location is usually sought during installation to avoid shadows. However, sometimes there are force majeure factors such as chimneys. In this case, users can set the system not to detect shadowed photovoltaic panels to avoid false alarms.

[0082] The setting information may include the identification of the photovoltaic panel not to be detected. After receiving the setting information from the user, the photovoltaic component self-test device may determine the corresponding target photovoltaic panel based on the identification in the setting information. The target photovoltaic panel is the photovoltaic panel not to be detected set by the user.

[0083] S220 : Scan each photovoltaic panel in the photovoltaic assembly except the target photovoltaic panel to determine the maximum power of each photovoltaic panel.

[0084] S230 , dividing the maximum power of each photovoltaic panel into m groups in sequence according to the numerical value.

[0085] S240 : Determine an abnormal critical value of the photovoltaic assembly according to the maximum power of each photovoltaic panel in the three middle groups.

[0086] Steps S220 to S240 may refer to the above Figure 2 The description of steps S110 to S130 in the illustrated embodiment is not repeated here.

[0087] S250 , before detecting whether each photovoltaic panel is abnormal, obtaining the number of detections of the photovoltaic assembly, and when the number of detections is greater than a detection number threshold, clearing the number of detections and the number of abnormalities of each photovoltaic panel.

[0088] Flying birds and other factors can cause brief shadows on the photovoltaic panels in a photovoltaic module. If the light module is inspected in this situation, an abnormality may be detected on the corresponding photovoltaic panel. Over time, the number of abnormalities corresponding to these reasons may accumulate to a high level for some photovoltaic panels. However, the abnormalities caused by these brief shadows can actually be ignored. Therefore, before inspecting each photovoltaic panel for abnormalities, the number of inspections of the photovoltaic module can be obtained. When the number of inspections exceeds the inspection number threshold x, the previous number of inspections and the number of abnormalities of each photovoltaic panel can be reset to zero. This can reduce false alarms caused by these reasons.

[0089] The detection number threshold x may be a fixed value, such as x may be equal to 7, or may be adjusted according to the user's local weather conditions.

[0090] S260: Detect whether each photovoltaic panel is abnormal according to the abnormality critical value, and record the number of abnormalities of each photovoltaic panel.

[0091] Step S260 can refer to the above Figure 2 The description of step S140 in the illustrated embodiment is not repeated here.

[0092] S270: When the number of abnormalities detected for any photovoltaic panel is greater than or equal to the first abnormality threshold and less than or equal to the second abnormality threshold, output a first prompt message.

[0093] Specifically, after recording the number of abnormalities of each photovoltaic panel, the number of abnormalities of each photovoltaic panel can be compared with the first abnormality threshold and the second abnormality threshold. If the number of abnormalities of any photovoltaic panel is greater than or equal to the first abnormality threshold and less than or equal to the second abnormality threshold, a first prompt message can be output, wherein the first abnormality threshold is less than the second abnormality threshold.

[0094] The first abnormality threshold and the second abnormality threshold may be fixed values, for example, the first abnormality threshold may be 3 and the second abnormality threshold may be 5, or they may be adjusted according to the local weather conditions of the user.

[0095] The first prompt information can be used to urge the user to check the cleanliness of the photovoltaic panel whose abnormal number exceeds the first abnormality threshold and whether there are dark clouds or other obstructions blocking the photovoltaic panel whose abnormal number exceeds the first abnormality threshold.

[0096] S280: When the number of abnormalities detected in any photovoltaic panel is greater than or equal to a second abnormality threshold, output a second prompt message.

[0097] Specifically, after recording the number of abnormalities for each photovoltaic panel, the number of abnormalities for each photovoltaic panel can be compared with the first abnormality threshold and the second abnormality threshold. If the number of abnormalities for any photovoltaic panel is greater than or equal to the second abnormality threshold, it means that when the number of abnormalities for the photovoltaic panel was greater than or equal to the first abnormality threshold, the user has already checked the shadow and cleanliness of the photovoltaic panel according to the first prompt information, and the photovoltaic panel is still abnormal. At this time, it can be determined that there is a fault in the photovoltaic panel. In this case, a second prompt information can be output, which is used to indicate that there may be a fault in the photovoltaic panel and further processing is required.

[0098] The second prompt information can be sent to the terminal app through the MPPT device to facilitate users to receive prompt information in time. The MPPT device can communicate with the terminal through the network or Bluetooth; the second prompt information can also be output to the alarm device through the circuit. When the alarm device receives the second prompt information, the fault warning light can be turned on. In this way, even when there is no network signal or the network signal is poor, the user can be promptly reminded that the photovoltaic panel has a fault.

[0099] Those skilled in the art will understand that the above embodiments are exemplary and are not intended to limit the present application. Where possible, the execution order of one or more of the above steps can be adjusted, or selectively combined to obtain one or more first embodiments. Those skilled in the art can select and combine any of the above steps as needed, and any combination that does not deviate from the essence of the present application falls within the scope of protection of the present application.

[0100] Based on the same inventive concept, as an implementation of the above method, an embodiment of the present application provides a photovoltaic module self-inspection device. The device embodiment corresponds to the above method embodiment. For ease of reading, the present device embodiment will no longer repeat the details of the above method embodiment one by one, but it should be clear that the device in this embodiment can correspond to and implement all the contents of the above method embodiment.

[0101] Figure 4 This is a schematic diagram of the structure of the photovoltaic module self-test device provided in the embodiment of the present application, as shown in FIG. Figure 4 As shown, the photovoltaic module self-test device provided in this embodiment may include: a determination module 11, a grouping module 12, a detection module 13 and a prompt module 14, wherein:

[0102] The determination module 11 is used to: scan each photovoltaic panel in the photovoltaic assembly to determine the maximum power of each photovoltaic panel;

[0103] The grouping module 12 is used to: divide the maximum power of each photovoltaic panel into m groups in sequence according to the numerical value, wherein m is an odd number greater than or equal to 5;

[0104] The determining module 11 is further configured to: determine an abnormal critical value of the photovoltaic assembly according to the maximum power of each photovoltaic panel in the three middle groups;

[0105] The detection module 13 is used to detect whether each photovoltaic panel is abnormal according to the abnormal critical value, and record the number of abnormalities of each photovoltaic panel, wherein the photovoltaic panel is abnormal when the maximum power is less than the abnormal critical value;

[0106] The prompt module 14 is configured to output a first prompt message when the number of abnormalities detected for any photovoltaic panel is greater than or equal to a first abnormality threshold.

[0107] As an optional implementation, the prompt module 14 is further configured to output a second prompt message when the number of abnormalities detected in any photovoltaic panel is greater than or equal to a second abnormality threshold, where the second abnormality threshold is greater than the first abnormality threshold.

[0108] As an optional embodiment, the device may further include:

[0109] The acquisition module 15 is configured to acquire the number of detections of the photovoltaic assembly before the detection module 13 detects whether each photovoltaic panel is abnormal;

[0110] When the number of detections is greater than a detection number threshold, the number of detections and the number of abnormalities of each photovoltaic panel are cleared.

[0111] As an optional embodiment, when r is equal to 0, each group includes the maximum power of q photovoltaic panels;

[0112] When r is not equal to 0, the first r groups include the maximum power of q+1 photovoltaic panels, and the last mr groups include the maximum power of q photovoltaic panels;

[0113] Wherein, r is the remainder of n divided by m, n is the number of photovoltaic panels in the photovoltaic assembly, and q is the quotient of n divided by m.

[0114] As an optional implementation manner, the determining module 11 is specifically configured to:

[0115] Determine an average value of the maximum power of each photovoltaic panel in the i-th group, where the i-th group is the group in the middle of the m groups;

[0116] The abnormal critical value of the photovoltaic component is determined according to the average value, the first interval value, the second interval value and the proportional coefficient, wherein the first interval value is the last maximum power in the i-1th group, and the second interval value is the last maximum power in the i+1th group.

[0117] As an optional implementation, the proportional coefficient is represented by δ, where 1≤δ≤1.5.

[0118] As an optional implementation, the determining module 11 is further configured to: receive setting information;

[0119] determining a target photovoltaic panel in the photovoltaic assembly according to the setting information;

[0120] The device may also include:

[0121] The scanning module 16 is configured to scan the photovoltaic panels in the photovoltaic assembly except the target photovoltaic panel.

[0122] The photovoltaic module self-test device provided in this embodiment can execute the above method embodiment. Its implementation principle and technical effect are similar and will not be repeated here.

[0123] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0124] Based on the same inventive concept, an embodiment of the present application also provides an electronic device. Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 5 As shown, the electronic device provided by this embodiment includes: a memory 210 and a processor 220, the memory 210 is used to store computer programs; the processor 220 is used to execute the method described in the above method embodiment when calling the computer program.

[0125] The electronic device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be repeated here.

[0126] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method described in the above method embodiment is implemented.

[0127] An embodiment of the present application further provides a computer program product, which, when executed on an electronic device, enables the electronic device to implement the method described in the above method embodiment.

[0128] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or a first programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted via the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, hard disk or tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0129] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium can include various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0130] The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0131] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0132] In the embodiments provided in this application, it should be understood that the disclosed devices / equipment and methods can be implemented in other ways. For example, the device / equipment embodiments described above are merely schematic. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0133] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0134] In the description of this application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in this application is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural.

[0135] Furthermore, in the description of this application, unless otherwise specified, "plurality" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0136] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0137] In addition, in the description of this application specification and the appended claims, the terms "first," "second," "third," etc. are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that shown or described herein.

[0138] References in this specification to "one embodiment" or "some embodiments" mean that one or more embodiments of the present application include a particular feature, structure, or characteristic described in conjunction with the embodiment. Thus, phrases such as "in one embodiment," "in some embodiments," "in the first some embodiments," and "in other embodiments" appearing in different places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized in the first manner.

[0139] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A photovoltaic module self-test method, characterized in that: include: Scanning each photovoltaic panel in the photovoltaic assembly to determine the maximum power of each photovoltaic panel; Divide the maximum power of each photovoltaic panel into m groups in sequence according to the numerical value, where m is an odd number greater than or equal to 5; determining an abnormal critical value of the photovoltaic assembly according to the maximum power of each photovoltaic panel in the three middle groups; Detecting whether each photovoltaic panel is abnormal according to the abnormal critical value, and recording the number of abnormalities of each photovoltaic panel, wherein the photovoltaic panel is abnormal when the maximum power is less than the abnormal critical value; When the number of abnormalities detected for any photovoltaic panel is greater than or equal to a first abnormality threshold, a first prompt message is output; The abnormal critical value of the photovoltaic module satisfies the following formula: P min-x =P D -δ×(P C4 -P C2 ) Among them, P min-x is the abnormal critical value of the photovoltaic module during the xth detection, x is the number of detections, P D is the average value of the maximum power of each photovoltaic panel in the i-th group, and the i-th group is the group in the middle position of the m groups; δ is the proportional coefficient, P C4 is the second interval value, which is the last maximum power in the i+1th group, P C2 is a first interval value, and the first interval value is the last maximum power in the i-1th group.

2. The method according to claim 1, characterized in that The method further comprises: When the number of abnormalities detected in any photovoltaic panel is greater than or equal to a second abnormality threshold, a second prompt message is output, and the second abnormality threshold is greater than the first abnormality threshold.

3. The method according to claim 1, characterized in that The method further comprises: Before detecting whether each photovoltaic panel is abnormal, obtaining the number of detections of the photovoltaic assembly; When the number of detections is greater than a detection number threshold, the number of detections and the number of abnormalities of each photovoltaic panel are cleared.

4. The method according to claim 1, wherein When r is equal to 0, each group includes the maximum power of q photovoltaic panels; When r is not equal to 0, the first r groups include the maximum power of q+1 photovoltaic panels, and the last mr groups include the maximum power of q photovoltaic panels; Wherein, r is the remainder of n divided by m, n is the number of photovoltaic panels in the photovoltaic assembly, and q is the quotient of n divided by m.

5. The method according to claim 1, wherein 1≤δ≤1.

5.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Receive setup information; determining a target photovoltaic panel in the photovoltaic assembly according to the setting information; The scanning of each photovoltaic panel in the photovoltaic assembly includes: Scan each photovoltaic panel in the photovoltaic assembly except the target photovoltaic panel.

7. A photovoltaic module self-test device, characterized in that: include: a determination module, configured to scan each photovoltaic panel in the photovoltaic assembly and determine the maximum power of each photovoltaic panel; a grouping module, configured to divide the maximum power of each photovoltaic panel into m groups in sequence according to the value thereof, wherein m is an odd number greater than or equal to 5; The determination module is further configured to: determine an abnormal critical value of the photovoltaic assembly based on the maximum power of each photovoltaic panel in the three middle groups; a detection module, configured to detect whether each photovoltaic panel is abnormal according to the abnormal critical value, and record the number of abnormalities of each photovoltaic panel, wherein the photovoltaic panel is abnormal when the maximum power is less than the abnormal critical value; a prompt module, configured to output a first prompt message when the number of abnormalities detected for any photovoltaic panel is greater than or equal to a first abnormality threshold; The abnormal critical value of the photovoltaic module satisfies the following formula: P min-x =P D -δ×(P C4 -P C2 ) Among them, P min-x is the abnormal critical value of the photovoltaic module during the xth detection, x is the number of detections, P D is the average value of the maximum power of each photovoltaic panel in the i-th group, and the i-th group is the group in the middle position of the m groups; δ is the proportional coefficient, P C4 is the second interval value, which is the last maximum power in the i+1th group, P C2 is a first interval value, and the first interval value is the last maximum power in the i-1th group.

8. An electronic device, characterized in that: include: A memory and a processor, the memory being used to store a computer program, and the processor being used to execute the method according to any one of claims 1 to 6 when calling the computer program.

9. 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 according to any one of claims 1 to 6 is implemented.

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