CN117353651B - Photovoltaic system control method, device, equipment and medium - Google Patents

Photovoltaic system control method, device, equipment and medium Download PDF

Info

Publication number
CN117353651B
CN117353651B CN202311339423.1A CN202311339423A CN117353651B CN 117353651 B CN117353651 B CN 117353651B CN 202311339423 A CN202311339423 A CN 202311339423A CN 117353651 B CN117353651 B CN 117353651B
Authority
CN
China
Prior art keywords
thermal imaging
imaging data
adjacent
determining
hot spot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311339423.1A
Other languages
Chinese (zh)
Other versions
CN117353651A (en
Inventor
杜永亮
司凯龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongke Hongyi Education Technology Group Co ltd
Original Assignee
Zhongke Hongyi Education Technology Group Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongke Hongyi Education Technology Group Co ltd filed Critical Zhongke Hongyi Education Technology Group Co ltd
Priority to CN202311339423.1A priority Critical patent/CN117353651B/en
Publication of CN117353651A publication Critical patent/CN117353651A/en
Application granted granted Critical
Publication of CN117353651B publication Critical patent/CN117353651B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/20Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for electronic equipment
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • H02S40/32Electrical components comprising DC/AC inverter means associated with the PV module itself, e.g. AC modules
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10Testing of PV devices, e.g. of PV modules or single PV cells
    • H02S50/15Testing of PV devices, e.g. of PV modules or single PV cells using optical means, e.g. using electroluminescence

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The present application relates to the field of photovoltaic, and in particular, to a photovoltaic system control method, device, apparatus, and medium, where the method includes: when the output voltage of the inverter is detected to be 0, the input current of the inverter is obtained, and when the input current is not 0, the thermal imaging data corresponding to the inverter is obtained; if the thermal imaging data has hot spots, determining a fault photovoltaic module string identifier based on the thermal imaging data; and generating a component short-circuit instruction according to the fault photovoltaic component string identifier, wherein the component short-circuit instruction is used for controlling the short-circuit equipment to short-circuit the photovoltaic component string corresponding to the fault photovoltaic component string identifier. The photovoltaic string energy consumption can be reduced.

Description

Photovoltaic system control method, device, equipment and medium
Technical Field
The present disclosure relates to the field of photovoltaic technologies, and in particular, to a photovoltaic system control method, device, apparatus, and medium.
Background
The photovoltaic system comprises a photovoltaic string, a controller, an inverter and a junction box. When the input voltage of the inverter suddenly changes, a situation may occur in which the inverter stops operating due to the excessively low voltage; moreover, the reason for the abrupt change of the input voltage may be that the photovoltaic module is broken down, the local temperature of the photovoltaic module rises, the bypass diode is started, and the corresponding battery string is shorted, and because the current of the series circuit inside the photovoltaic module string has a barrel effect, namely the lowest current in the whole string of circuits, the current of the photovoltaic module string is reduced, thereby influencing the reduction of the current of the photovoltaic string and the power generation of the system.
When the photovoltaic module string breaks down and is equal to the energy-consuming load, the voltage input into the inverter by the photovoltaic module string may be suddenly changed, so that the inverter stops working; and at the moment, other photovoltaic modules in the photovoltaic string still work normally and output current, and the inverter stops working to cause the photovoltaic system to lose the current output by the other photovoltaic modules.
How to reduce the energy consumption of the photovoltaic string is a technical problem to be solved by the skilled person.
Disclosure of Invention
In order to reduce energy consumption of a photovoltaic string, the application provides a photovoltaic system control method, a device, equipment and a medium.
In a first aspect, the present application provides a photovoltaic system control method, which adopts the following technical scheme:
a photovoltaic system control method, comprising:
when the output voltage of the inverter is detected to be 0, acquiring the input current of the inverter;
when the input current is not 0, acquiring thermal imaging data corresponding to the inverter;
judging whether hot spots exist in the thermal imaging data;
if the thermal imaging data has the hot spots, determining a fault photovoltaic module string identifier based on the thermal imaging data;
and generating a component short-circuit instruction according to the fault photovoltaic component string identifier, wherein the component short-circuit instruction is used for controlling a short-circuit device to short-circuit the photovoltaic component string corresponding to the fault photovoltaic component string identifier.
The present application may be further configured in a preferred example to:
judging whether the thermal imaging data has hot spots or not, comprising:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether the thermal imaging data has the thermal spots or not according to the adjacent thermal imaging comparison group;
if not, judging whether the thermal imaging data has the thermal spots according to the historical imaging comparison group.
The present application may be further configured in a preferred example to:
acquiring a comparison set of adjacent thermal imaging, comprising:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first component identifications corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to the first component identification corresponding to the target sub-thermal imaging data according to each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
and determining target sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set.
The present application may be further configured in a preferred example to:
judging whether the thermal imaging data has the thermal spots according to the adjacent thermal imaging comparison group, wherein the judging comprises the following steps:
and judging whether the target sub-thermal imaging data has a hot spot difference or not according to each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group.
The present application may be further configured in a preferred example to:
after determining the faulty photovoltaic module string identification based on the thermal imaging data, further comprising:
determining preset reference data corresponding to the fault photovoltaic module string identifier;
and generating maintenance prompt information corresponding to the fault photovoltaic module string identifier based on the preset reference data.
In a second aspect, the present application provides a photovoltaic system control device, which adopts the following technical scheme:
a photovoltaic system control apparatus comprising:
an input current acquisition module, configured to acquire an input current of an inverter when detecting that an output voltage of the inverter is 0;
the thermal imaging data acquisition module is used for acquiring thermal imaging data corresponding to the inverter when the input current is not 0;
the hot spot judging module is used for judging whether hot spots exist in the thermal imaging data;
the identification determining module is used for determining a fault photovoltaic module string identification based on the thermal imaging data if the thermal imaging data contains the thermal spots;
the command generation module is used for generating a module short-circuit command according to the fault photovoltaic module string identification, wherein the module short-circuit command is used for controlling a short-circuit device to short-circuit the photovoltaic module string corresponding to the fault photovoltaic module string identification.
The present application may be further configured in a preferred example to:
the hot spot judging module is used for judging whether the hot spots exist in the thermal imaging data or not when executing the judgment, and is used for:
judging whether the thermal imaging data has hot spots or not, comprising:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether the thermal imaging data has the thermal spots or not according to the adjacent thermal imaging comparison group;
if not, judging whether the thermal imaging data has the thermal spots according to the historical imaging comparison group.
The present application may be further configured in a preferred example to:
the hot spot judging module is used for, when executing acquisition of the adjacent thermal imaging comparison group:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first component identifications corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to the first component identification corresponding to the target sub-thermal imaging data according to each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
and determining target sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a photovoltaic system control method according to any one of the first aspects is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the photovoltaic system control method according to any one of the first aspect.
In summary, the present application at least includes the following beneficial technical effects:
when the output voltage of the inverter is detected to be 0, the input current of the inverter is acquired, and further when the input current is not 0, thermal imaging data corresponding to the inverter are acquired, so that misjudgment of the fact that the photovoltaic module string is not input into the inverter as the abnormal operation of the inverter is avoided; judging whether thermal imaging data have hot spots or not so as to determine whether the photovoltaic module is broken down or not; if the photovoltaic module is possibly broken down, determining a fault photovoltaic module string identifier based on thermal imaging data; and generating an assembly short circuit instruction according to the fault photovoltaic assembly string identifier so as to avoid the problems that the inverter stops working and the wooden barrel effect affects the power generation efficiency of the photovoltaic system when the photovoltaic assembly is equivalent to an energy consumption load through short circuit, thereby reducing the energy consumption of the photovoltaic string.
Drawings
Fig. 1 is a schematic flow chart of a photovoltaic system control method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a photovoltaic system control device according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to fig. 1-3.
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a photovoltaic system control method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and as shown in fig. 1, the method includes steps S101 to S105, where:
step S101: when the output voltage of the inverter is detected to be 0, the input current of the inverter is acquired.
Step S102: and when the input current is not 0, acquiring thermal imaging data corresponding to the inverter.
The thermal imaging data are real-time thermal imaging data of the photovoltaic system corresponding to the inverter.
It should be appreciated that thermal imaging techniques are often used to detect whether a photovoltaic module is malfunctioning in photovoltaic power generation, and thermal imaging data is data of a photovoltaic system collected and sent to an electronic device based on the thermal imaging techniques.
Step S103: and judging whether the thermal imaging data has hot spots or not.
The hot spots include, but are not limited to, breakdown hot spots with breakdown characteristics that can be preset by a technician and stored in the electronic device.
It can be understood that if thermal imaging data has hot spots, a breakdown condition may exist in a photovoltaic module in the photovoltaic system, and further judgment is required; and if the thermal imaging data does not have hot spots, the method characterizes that the photovoltaic module in the photovoltaic system has no possibility of breakdown.
The thermal imaging data comprise a plurality of sub-thermal imaging data, and each sub-thermal imaging data corresponds to a unique photovoltaic module in the photovoltaic system.
Step S104: and if the thermal imaging data has hot spots, determining the fault photovoltaic module identification based on the thermal imaging data.
Specifically, determining sub-thermal imaging data of the hot spot, and using a component identifier of the photovoltaic component corresponding to the sub-thermal imaging data of the hot spot as the fault photovoltaic component identifier.
Step S105: and generating a module short-circuit instruction according to the fault photovoltaic module identifier, wherein the module short-circuit instruction is used for controlling the short-circuit equipment to short-circuit the photovoltaic module corresponding to the fault photovoltaic module identifier.
Each photovoltaic module of the photovoltaic system is provided with a unique corresponding short-circuit device, wherein the embodiment of the application is not limited to the short-circuit device, and the electronic device can control the short-circuit device to short-circuit the photovoltaic module corresponding to the short-circuit device.
In the embodiment of the application, when the output voltage of the inverter is detected to be 0, the input current of the inverter is acquired, and further when the input current is not 0, the thermal imaging data corresponding to the inverter are acquired, so that misjudgment of the fact that the photovoltaic module string is not input into the inverter as the abnormal operation of the inverter is avoided; judging whether thermal imaging data have hot spots or not so as to determine whether the photovoltaic module is broken down or not; if the photovoltaic module is possibly broken down, determining a fault photovoltaic module identification based on thermal imaging data; according to the fault photovoltaic module identification, a module short circuit instruction is generated, so that the problems that the inverter stops working and the barrel effect affects the power generation efficiency of the photovoltaic system when the photovoltaic module is equivalent to an energy consumption load are avoided through short circuit, and the energy consumption of the photovoltaic string is reduced.
The thermal imaging data includes a plurality of sub-thermal imaging data, and in one possible implementation manner of the embodiment of the present application, step S103, determining whether thermal spots exist in the thermal imaging data may specifically include:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether thermal imaging data have hot spots or not according to the adjacent thermal imaging comparison groups;
if not, judging whether the thermal imaging data has hot spots according to the historical imaging comparison group.
If yes, determining that hot spots exist in the thermal imaging data.
It can be appreciated that by comparing the real-time thermal imaging data corresponding to the fault photovoltaic module identifier with the real-time thermal imaging data of the photovoltaic modules at adjacent positions and then comparing the real-time thermal imaging data with the historical thermal imaging data corresponding to the fault photovoltaic module identifier, the time for judging whether the thermal imaging data has hot spots can be reduced. It should be understood that, the electronic device acquires real-time thermal imaging data, which is acquired by the thermal imaging device in real time and then transmitted to the electronic device, and the real-time thermal imaging data is acquired and then stored in the memory before the judging process; however, the historical thermal imaging data is stored in a local disk of the electronic device, and compared with the data in the memory, the method has the advantage that the time for retrieving the data from the local disk is longer.
The acquiring the historical imaging comparison group specifically may include: determining a fault photovoltaic module identifier; and determining the historical thermal imaging data in a preset time period from the historical thermal imaging data corresponding to each of a plurality of historical moments corresponding to the fault photovoltaic module identification, and taking the historical thermal imaging data as the historical imaging comparison group.
The adjacent thermal imaging comparison group comprises a plurality of adjacent thermal imaging data, wherein the adjacent thermal imaging data is real-time sub-thermal imaging data of content corresponding to a photovoltaic module adjacent to the photovoltaic module position corresponding to the fault photovoltaic module identification.
Judging whether the thermal imaging data has hot spots according to the historical imaging comparison group can comprise the following steps: judging whether any historical thermal imaging data in the historical imaging comparison group has gray value mutation, if so, further determining a gray value mutation area in the historical thermal imaging data with gray value mutation; and judging whether the gray value mutation area accords with a preset hot spot characteristic, wherein the preset hot spot characteristic is preset by a technician and stored in the electronic equipment.
In the embodiment of the application, after the adjacent thermal imaging comparison group and the historical imaging comparison group are obtained, whether thermal spots exist in thermal imaging data is judged according to the adjacent thermal imaging comparison group, and whether thermal spots exist in the thermal imaging data is judged according to the historical imaging comparison group, so that the time for judging whether the thermal spots exist in the thermal imaging data is reduced.
In one possible implementation manner of the embodiment of the present application, acquiring the adjacent thermal imaging comparison set may specifically include:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first component identifications corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to a first component identification corresponding to target sub-thermal imaging data aiming at each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
and determining target sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set.
It can be understood that in the same photovoltaic module string, the same probability of the working modes of the adjacent photovoltaic modules is high, and the illumination intensity and the illumination angle for receiving illumination are more similar compared with those of the non-adjacent photovoltaic modules; when thermal spots caused by a working mode and/or illumination occur in the thermal imaging data, whether the photovoltaic module is faulty or not is judged simply based on the thermal spots in the thermal imaging data, and misjudgment may occur. Therefore, the scheme compares the sub-thermal imaging data corresponding to the photovoltaic module with the thermal spots and the adjacent photovoltaic modules so as to reduce the misjudgment probability of whether the photovoltaic module is faulty or not.
Wherein the first quantity characterizes a number of target sub-thermal imaging data, determined by the target sub-thermal imaging data. The installation position of the photovoltaic module corresponding to the target adjacent mark is adjacent to the installation position of the photovoltaic module corresponding to the fault photovoltaic module mark, and the adjacent relation refers to any one of the eight positional relations of front, back, left, right, left front, right front, left back or right back of the positional relation among the photovoltaic modules.
The determining the target adjacent identification group corresponding to the first component identification corresponding to the target sub-thermal imaging data specifically may include: based on a pre-stored corresponding relation between a preset adjacent identification group and a component identification and a first component identification corresponding to target sub-thermal imaging data, determining a preset adjacent identification group corresponding to the first component identification corresponding to the target sub-thermal imaging data, and taking each preset adjacent identification in the preset adjacent identification group as a target adjacent identification to obtain the target adjacent identification group, wherein the pre-stored corresponding relation between the preset adjacent identification group and the component identification is determined by a technician based on the installation position of the photovoltaic component corresponding to the component identification and is pre-stored in the electronic equipment, and aiming at any component identification and the preset adjacent identification group corresponding to any component identification, wherein the preset adjacent identification group corresponding to any component identification comprises a plurality of component identifications of photovoltaic components adjacent to the installation position of the photovoltaic component corresponding to any component identification.
It is to be appreciated that the respective target sub-thermal imaging data of the plurality of target adjacent identifiers is determined to determine the respective sub-thermal imaging data of each target adjacent identifier based on the plurality of target adjacent identifiers in each target adjacent identifier group, and the respective sub-thermal imaging data of the plurality of target adjacent identifiers in each target adjacent identifier group is used as the adjacent thermal imaging comparison group.
In the embodiment of the application, the first number of target sub-thermal imaging data is determined based on the thermal imaging data to determine the photovoltaic component with possible breakdown hot spots; determining first component identifications corresponding to the first number of target sub-thermal imaging data respectively so as to determine identifications of each photovoltaic component possibly having breakdown hot spots; for each target sub-thermal imaging data, determining a target adjacent identification group corresponding to a first component identification corresponding to the target sub-thermal imaging data, so as to determine a photovoltaic component group with comparative value at the same moment for the photovoltaic components possibly having breakdown hot spots; and determining target sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison group so as to determine thermal imaging data of comparison value at the same moment.
According to one possible implementation manner of the embodiment of the present application, determining whether thermal imaging data has a hot spot according to an adjacent thermal imaging comparison set may specifically include:
and judging whether the target sub-thermal imaging data has a hot spot difference according to each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group.
It will be appreciated that if any of the target sub-thermal imaging data has the hot spot difference, determining that the thermal imaging data has hot spots; otherwise, if none of the second number of target sub-thermal imaging data has the hot spot difference, determining that the thermal imaging data has no hot spot, wherein the second number can be set by a technician and stored in the electronic device in advance.
For each adjacent sub-thermal imaging data, the process of judging whether the target sub-thermal imaging data has a hot spot difference may specifically include: determining whether a hot spot exists in the adjacent sub-thermal imaging data; if the adjacent sub-thermal imaging data has a hot spot, determining first hot spot information of the hot spot in the adjacent sub-thermal imaging data and determining second hot spot information of the hot spot in the target sub-thermal imaging data, wherein the hot spot information comprises a pixel range corresponding to a region covered by the hot spot and a temperature corresponding to the hot spot, and the hot spot information is the first hot spot information or the second hot spot information; judging whether the temperature difference between the temperature in the first hot spot information and the temperature in the second hot spot information exceeds a preset temperature difference threshold value according to the temperature, so as to determine a temperature result, wherein the preset temperature difference threshold value is preset by a technician and stored in the electronic equipment, and when the temperature difference exceeds the preset temperature difference threshold value, the temperature result is determined to be yes, otherwise, the temperature result is determined to be no; for a pixel range, determining a midpoint corresponding to the pixel range in the first hot spot information and a midpoint corresponding to the pixel range in the second hot spot information to determine a pixel distance between the two midpoints, and judging whether the pixel distance exceeds a preset distance range or not to determine a pixel result, wherein the preset distance range is preset by a technician and stored in electronic equipment, when the preset distance range is exceeded, the pixel result is determined to be yes, otherwise, the pixel result is determined to be no; and when any one of the pixel result and the temperature result is yes, determining that a hot spot difference exists between the target sub-thermal imaging data and the adjacent sub-thermal imaging data, otherwise, determining that a hot spot difference does not exist between the target sub-thermal imaging data and the adjacent sub-thermal imaging data.
In the embodiment of the application, the thermal imaging data with the comparison value at the same position is determined for the photovoltaic module corresponding to the fault photovoltaic module identifier, so that the thermal imaging comparison dimension is increased, and the accuracy of the process of judging whether the thermal spots exist is improved.
One possible implementation manner of the embodiment of the present application, after determining the identification of the faulty photovoltaic module based on the thermal imaging data, may further include:
determining preset reference data corresponding to the fault photovoltaic module identification;
and generating maintenance prompt information corresponding to the fault photovoltaic module identification based on preset reference data.
The preset reference data includes a correspondence between a pixel range and a fault location, and may be obtained through experiments by a technician and stored in the electronic device in advance. The fault location characterizes the location of the spot corresponding to the breakdown point on the failed photovoltaic module.
Based on preset reference data, generating maintenance prompt information corresponding to the fault photovoltaic module identifier specifically may include: based on preset reference data, maintenance prompt information corresponding to the fault photovoltaic module identification is generated to prompt maintenance personnel to maintain the photovoltaic module corresponding to the fault photovoltaic module identification, wherein the maintenance prompt information comprises the fault photovoltaic module identification and the corresponding preset reference information.
The above embodiments describe a photovoltaic system control method from the viewpoint of a method flow, and the following embodiments describe a photovoltaic system control device from the viewpoint of a virtual module or a virtual unit, specifically the following embodiments are described below.
The embodiment of the application provides a photovoltaic system control device, as shown in fig. 2, which specifically may include:
an input current acquisition module 201 for acquiring an input current of the inverter when detecting that the output voltage of the inverter is 0;
the thermal imaging data acquisition module 202 is configured to acquire thermal imaging data corresponding to the inverter when the input current is not 0;
a hot spot judging module 203, configured to judge whether a hot spot exists in the thermal imaging data;
the identification determining module 204 is configured to determine, based on the thermal imaging data, a fault photovoltaic module identification if the thermal imaging data has a hot spot;
the instruction generating module 205 is configured to generate a component short-circuit instruction according to the failed photovoltaic component identifier, where the component short-circuit instruction is configured to control the short-circuit device to short-circuit the photovoltaic component corresponding to the failed photovoltaic component identifier.
In one possible implementation manner of the embodiment of the present application, the hot spot determining module 203 is configured to, when performing the determination of whether the thermal imaging data has a hot spot:
judging whether thermal imaging data has hot spots or not, comprising:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether thermal imaging data have hot spots or not according to the adjacent thermal imaging comparison groups;
if not, judging whether the thermal imaging data has hot spots according to the historical imaging comparison group.
In one possible implementation manner of the embodiment of the present application, the hot spot determining module 203 is configured, when executing obtaining the adjacent thermal imaging comparison set, to:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first component identifications corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to a first component identification corresponding to target sub-thermal imaging data aiming at each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
and determining target sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set.
In one possible implementation manner of the embodiment of the present application, the hot spot determining module 203 is configured to, when performing determining whether hot spots exist in the thermal imaging data according to the adjacent thermal imaging comparison set:
and judging whether the target sub-thermal imaging data has a hot spot difference according to each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group.
In one possible implementation manner of the embodiment of the present application, the photovoltaic system control device further includes:
the prompt information generation module is used for:
determining preset reference data corresponding to the fault photovoltaic module identification;
and generating maintenance prompt information corresponding to the fault photovoltaic module identification based on preset reference data.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the photovoltaic system control apparatus described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 3, an electronic device shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device is not limited to the embodiments of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related art, according to the embodiment of the application, when the output voltage of the inverter is detected to be 0, the input current of the inverter is acquired, and further when the input current is not 0, the thermal imaging data corresponding to the inverter are acquired, so that misjudgment of the fact that the photovoltaic module string is not input into the inverter is avoided as abnormal operation of the inverter; judging whether thermal imaging data have hot spots or not so as to determine whether the photovoltaic module is broken down or not; if the photovoltaic module is possibly broken down, determining a fault photovoltaic module identification based on thermal imaging data; according to the fault photovoltaic module identification, a module short circuit instruction is generated, so that the problems that the inverter stops working and the barrel effect affects the power generation efficiency of the photovoltaic system when the photovoltaic module is equivalent to an energy consumption load are avoided through short circuit, and the energy consumption of the photovoltaic string is reduced.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (4)

1. A photovoltaic system control method, comprising:
when the output voltage of the inverter is detected to be 0, acquiring the input current of the inverter;
when the input current is not 0, acquiring thermal imaging data corresponding to the inverter;
judging whether hot spots exist in the thermal imaging data;
if the thermal imaging data has the hot spots, determining a fault photovoltaic module string identifier based on the thermal imaging data;
generating a module short-circuit instruction according to the fault photovoltaic module string identifier, wherein the module short-circuit instruction is used for controlling a short-circuit device to short-circuit the photovoltaic module string corresponding to the fault photovoltaic module string identifier;
the thermal imaging data includes a plurality of sub-thermal imaging data,
judging whether the thermal imaging data has hot spots or not, comprising:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether the thermal imaging data has the thermal spots or not according to the adjacent thermal imaging comparison group;
if not, judging whether the thermal imaging data has the thermal spots according to the historical imaging comparison group;
wherein determining whether the thermal imaging data has the thermal patch according to the historical imaging comparison set comprises: judging whether any historical thermal imaging data in the historical imaging comparison group has gray value mutation, if so, further determining a gray value mutation area in the historical thermal imaging data with gray value mutation; judging whether the gray value mutation area accords with the preset hot spot characteristic or not;
after the adjacent thermal imaging comparison group and the historical imaging comparison group are obtained, judging whether thermal spots exist in thermal imaging data according to the adjacent thermal imaging comparison group, and judging whether the thermal spots exist in the thermal imaging data according to the historical imaging comparison group so as to reduce the time for judging whether the thermal spots exist in the thermal imaging data;
acquiring a comparison set of adjacent thermal imaging, comprising:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first photovoltaic module identifiers corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to the first photovoltaic module identification corresponding to the target sub-thermal imaging data according to each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
determining adjacent sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set;
judging whether the thermal imaging data has the thermal spots according to the adjacent thermal imaging comparison group, wherein the judging comprises the following steps:
judging whether the target sub-thermal imaging data has a hot spot difference or not according to each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group;
wherein for each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison set, determining whether a thermal patch difference exists in the target sub-thermal imaging data includes:
determining whether a hot spot exists in target adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group, wherein the target adjacent sub-thermal imaging data is any adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group, if yes, determining first hot spot information in the target adjacent sub-thermal imaging data, and determining second hot spot information of the hot spot in the target sub-thermal imaging data corresponding to the target adjacent sub-thermal imaging data; the hot spot information comprises a pixel range corresponding to a hot spot covered region and a temperature corresponding to the hot spot, and is first hot spot information or second hot spot information;
for the temperature, judging whether the temperature difference between the temperature in the first hot spot information and the temperature in the second hot spot information exceeds a preset temperature difference threshold value or not so as to determine a temperature result, if so, determining that the temperature result is yes, otherwise, determining that the temperature result is no;
for the pixel range, determining a midpoint corresponding to the pixel range in the first hot spot information and a midpoint corresponding to the pixel range in the second hot spot information to determine the pixel spacing of the two midpoints, judging whether the pixel spacing exceeds a preset spacing range or not to determine a pixel result, determining that the pixel result is yes when the pixel spacing exceeds the preset spacing range, otherwise determining that the pixel result is no;
when any one of the pixel result and the temperature result is yes, determining that a hot spot difference exists between the target sub-thermal imaging data and the adjacent sub-thermal imaging data, otherwise, determining that a hot spot difference does not exist between the target sub-thermal imaging data and the adjacent sub-thermal imaging data;
after determining the faulty photovoltaic module string identification based on the thermal imaging data, further comprising:
determining preset reference data corresponding to the fault photovoltaic module string identifier;
and generating maintenance prompt information corresponding to the fault photovoltaic module string identifier based on the preset reference data.
2. A photovoltaic system control apparatus, comprising:
an input current acquisition module, configured to acquire an input current of an inverter when detecting that an output voltage of the inverter is 0;
the thermal imaging data acquisition module is used for acquiring thermal imaging data corresponding to the inverter when the input current is not 0;
the hot spot judging module is used for judging whether hot spots exist in the thermal imaging data;
the identification determining module is used for determining a fault photovoltaic module string identification based on the thermal imaging data if the thermal imaging data contains the thermal spots;
the command generation module is used for generating a module short-circuit command according to the fault photovoltaic module string identifier, wherein the module short-circuit command is used for controlling a short-circuit device to short-circuit the photovoltaic module string corresponding to the fault photovoltaic module string identifier;
the hot spot judging module is used for judging whether the hot spots exist in the thermal imaging data or not when executing the judgment, and is used for:
judging whether the thermal imaging data has hot spots or not, comprising:
acquiring an adjacent thermal imaging comparison group and a historical imaging comparison group;
judging whether the thermal imaging data has the thermal spots or not according to the adjacent thermal imaging comparison group;
if not, judging whether the thermal imaging data has the thermal spots according to the historical imaging comparison group;
wherein determining whether the thermal imaging data has the thermal patch according to the historical imaging comparison set comprises: judging whether any historical thermal imaging data in the historical imaging comparison group has gray value mutation, if so, further determining a gray value mutation area in the historical thermal imaging data with gray value mutation; judging whether the gray value mutation area accords with the preset hot spot characteristic or not;
after the adjacent thermal imaging comparison group and the historical imaging comparison group are obtained, judging whether thermal spots exist in thermal imaging data according to the adjacent thermal imaging comparison group, and judging whether the thermal spots exist in the thermal imaging data according to the historical imaging comparison group so as to reduce the time for judging whether the thermal spots exist in the thermal imaging data;
the hot spot judging module is used for, when executing acquisition of the adjacent thermal imaging comparison group:
determining a first number of target sub-thermal imaging data based on the thermal imaging data, wherein the target sub-thermal imaging data includes hot spots;
determining first photovoltaic module identifiers corresponding to the first number of target sub-thermal imaging data respectively;
determining a target adjacent identification group corresponding to the first photovoltaic module identification corresponding to the target sub-thermal imaging data according to each target sub-thermal imaging data, wherein the target adjacent identification group comprises a plurality of target adjacent identifications;
determining adjacent sub-thermal imaging data corresponding to each of the plurality of target adjacent identifiers to obtain an adjacent thermal imaging comparison set;
the hot spot judging module is used for judging whether the hot spots exist in the thermal imaging data according to the adjacent thermal imaging comparison group, and is used for:
judging whether the target sub-thermal imaging data has a hot spot difference or not according to each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group;
wherein for each adjacent sub-thermal imaging data in the adjacent thermal imaging comparison set, determining whether a thermal patch difference exists in the target sub-thermal imaging data includes:
determining whether a hot spot exists in target adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group, wherein the target adjacent sub-thermal imaging data is any adjacent sub-thermal imaging data in the adjacent thermal imaging comparison group, if yes, determining first hot spot information in the target adjacent sub-thermal imaging data, and determining second hot spot information of the hot spot in the target sub-thermal imaging data corresponding to the target adjacent sub-thermal imaging data; the hot spot information comprises a pixel range corresponding to a hot spot covered region and a temperature corresponding to the hot spot, and is first hot spot information or second hot spot information;
for the temperature, judging whether the temperature difference between the temperature in the first hot spot information and the temperature in the second hot spot information exceeds a preset temperature difference threshold value or not so as to determine a temperature result, if so, determining that the temperature result is yes, otherwise, determining that the temperature result is no;
for the pixel range, determining a midpoint corresponding to the pixel range in the first hot spot information and a midpoint corresponding to the pixel range in the second hot spot information to determine the pixel spacing of the two midpoints, judging whether the pixel spacing exceeds a preset spacing range or not to determine a pixel result, determining that the pixel result is yes when the pixel spacing exceeds the preset spacing range, otherwise determining that the pixel result is no;
when any one of the pixel result and the temperature result is yes, determining that a hot spot difference exists between the target sub-thermal imaging data and the adjacent sub-thermal imaging data, otherwise, determining that a hot spot difference does not exist between the target sub-thermal imaging data and the adjacent sub-thermal imaging data;
the prompt information generation module is used for determining preset reference data corresponding to the fault photovoltaic module string identification;
and generating maintenance prompt information corresponding to the fault photovoltaic module string identifier based on the preset reference data.
3. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: the photovoltaic system control method of claim 1 is performed.
4. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the photovoltaic system control method of claim 1.
CN202311339423.1A 2023-10-16 2023-10-16 Photovoltaic system control method, device, equipment and medium Active CN117353651B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311339423.1A CN117353651B (en) 2023-10-16 2023-10-16 Photovoltaic system control method, device, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311339423.1A CN117353651B (en) 2023-10-16 2023-10-16 Photovoltaic system control method, device, equipment and medium

Publications (2)

Publication Number Publication Date
CN117353651A CN117353651A (en) 2024-01-05
CN117353651B true CN117353651B (en) 2024-04-16

Family

ID=89364555

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311339423.1A Active CN117353651B (en) 2023-10-16 2023-10-16 Photovoltaic system control method, device, equipment and medium

Country Status (1)

Country Link
CN (1) CN117353651B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117613822B (en) * 2024-01-18 2024-04-09 深圳市科沃电气技术有限公司 Method, device, equipment and storage medium for fast shutdown of frequency converter

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0572756B2 (en) * 1983-08-03 1993-10-12 Energy Conversion Devices Inc
CN104899936A (en) * 2015-06-16 2015-09-09 深圳市联翼风电技术有限公司 Image recognition based photovoltaic module fault prompting method and system
WO2022252621A1 (en) * 2021-06-01 2022-12-08 厦门科灿信息技术有限公司 Photovoltaic module fault detection method and apparatus
CN116310903A (en) * 2023-03-10 2023-06-23 阳光智维科技股份有限公司 Method and device for identifying fault type of photovoltaic module and electronic equipment
CN116743079A (en) * 2023-06-01 2023-09-12 中国三峡新能源(集团)股份有限公司 Photovoltaic string fault processing method and device, photovoltaic management system and medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0572756B2 (en) * 1983-08-03 1993-10-12 Energy Conversion Devices Inc
CN104899936A (en) * 2015-06-16 2015-09-09 深圳市联翼风电技术有限公司 Image recognition based photovoltaic module fault prompting method and system
WO2022252621A1 (en) * 2021-06-01 2022-12-08 厦门科灿信息技术有限公司 Photovoltaic module fault detection method and apparatus
CN116310903A (en) * 2023-03-10 2023-06-23 阳光智维科技股份有限公司 Method and device for identifying fault type of photovoltaic module and electronic equipment
CN116743079A (en) * 2023-06-01 2023-09-12 中国三峡新能源(集团)股份有限公司 Photovoltaic string fault processing method and device, photovoltaic management system and medium

Also Published As

Publication number Publication date
CN117353651A (en) 2024-01-05

Similar Documents

Publication Publication Date Title
CN117353651B (en) Photovoltaic system control method, device, equipment and medium
CN109558282B (en) PCIE link detection method, system, electronic equipment and storage medium
CN110247725B (en) Line fault troubleshooting method and device for OTN (optical transport network) and terminal equipment
CN116502166B (en) Method, device, equipment and medium for predicting faults of target equipment
CN117805663B (en) Battery testing method, device, equipment and medium based on running state
CN117311311A (en) DCS controller credibility measurement method, system, electronic equipment and storage medium
CN106502364A (en) A kind of isolated location and a kind of server
CN115858311A (en) Operation and maintenance monitoring method and device, electronic equipment and readable storage medium
CN115689534A (en) Method, device, equipment and medium for managing equipment service life based on big data
CN117668692A (en) Intelligent electric energy monitoring method, device, equipment and medium based on fault detection
CN112825050A (en) Method and system for accessing optical module register
CN109708265B (en) Starting method of fan in outdoor unit and outdoor unit
CN116859141A (en) Transformer monitoring method, device, equipment and medium
CN114148197B (en) Method and device for over-temperature protection of charging pile, electronic equipment and medium
CN112904113B (en) Method and device for detecting overload of brake resistor
CN115185724A (en) Fault processing method, device, electronic equipment and storage medium
CN114353938A (en) Laser detection method, device, equipment and medium based on precision machining
CN110867920B (en) Charging control method and device of battery system, electronic equipment and battery system
CN114109882A (en) Fan control method and system for improving heat dissipation capacity of system
CN114692082A (en) Method, system, device and medium for identifying battery swapping user
CN108181549A (en) Fault location searching method and device
CN118082796B (en) Vehicle Cheng Qiqi stop control method and device, electronic equipment and medium
CN112670952B (en) Control method and equipment for generator set and readable storage medium
CN117060580A (en) Operation monitoring method, device, equipment and medium for power distribution cabinet control system
CN117471239A (en) Power equipment fault identification method based on heat source extremum distribution

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant