CN117040443A - Photovoltaic early warning method, electronic equipment and storage medium - Google Patents
Photovoltaic early warning method, electronic equipment and storage medium Download PDFInfo
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- CN117040443A CN117040443A CN202311040408.7A CN202311040408A CN117040443A CN 117040443 A CN117040443 A CN 117040443A CN 202311040408 A CN202311040408 A CN 202311040408A CN 117040443 A CN117040443 A CN 117040443A
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- 238000010248 power generation Methods 0.000 claims abstract description 76
- 230000002159 abnormal effect Effects 0.000 claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 5
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The application relates to the field of photovoltaic power generation, in particular to a photovoltaic early warning method, electronic equipment and a storage medium. The method comprises the following steps: obtaining actual output data and photovoltaic power generation parameters of each group of photovoltaic modules, comparing the actual output data with the photovoltaic power generation parameters to judge whether the actual power generation of the photovoltaic modules is in a normal range or not, judging that the actual power generation of the photovoltaic modules is not in the normal range, judging that the power generation of the photovoltaic modules is abnormal, obtaining the working state of each bypass diode in the photovoltaic modules with abnormal power generation, judging that the photovoltaic modules are shaded when the bypass diodes are conducted, judging that shading information is output when shading conditions are judged, and judging that the photovoltaic cell panel is in equipment failure and outputting equipment failure signals when the bypass diodes are closed. And the abnormal power generation type of the photovoltaic module is judged by combining the abnormal power generation and the working state of the bypass diode, and an early warning is sent out according to the abnormal type, so that the purpose of judging the reason of abnormal power generation of the photovoltaic module is achieved.
Description
Technical Field
The application relates to the field of photovoltaic power generation, in particular to a photovoltaic early warning method, electronic equipment and a storage medium.
Background
Solar energy is a focus of attention for people because of the advantages of cleanness, environmental protection, large storage capacity and the like. As a common energy-saving system utilizing solar energy resources, a solar photovoltaic power generation system is widely applied to production and life and becomes an important ring of electric energy sources in China. Specifically, a solar photovoltaic power generation system is located in a photovoltaic power station, and solar energy is converted into electric energy by the solar photovoltaic power generation system and stored in the photovoltaic power station.
The solar photovoltaic power generation system comprises a plurality of groups of photovoltaic modules, each group of photovoltaic modules comprises a plurality of photovoltaic cell panels, and bypass diodes are respectively connected in parallel with the photovoltaic cell panels. The photovoltaic cell panels in each group of photovoltaic modules are connected in series, and after the photovoltaic modules are connected in series, the photovoltaic modules are output in parallel. In practical applications, photovoltaic modules are often covered by shadows of various types of blinders. When one or a part of the photovoltaic modules is shielded, the internal resistance of the photovoltaic modules is increased, so that the voltage and the current in the battery piece are changed, the local temperature of the battery piece is increased, the generated energy is greatly reduced, and even fire disaster can be caused when the generated energy is serious. Meanwhile, when the photovoltaic module is aged or the connection of the photovoltaic module is loose, the local temperature of the battery piece is possibly increased, so that the photovoltaic cell cannot normally generate electricity. In order to monitor the operation condition of the photovoltaic cell, a thermal imaging detector and a camera are generally adopted in the prior art to obtain a temperature image of the photovoltaic cell, so as to judge whether the photovoltaic cell generates electricity normally. However, the photovoltaic cell is detected by means of the camera matched with the thermal imaging detector, whether the shielding object is shielded or the equipment fails can be recognized when the photovoltaic module generates electricity abnormally, so that the maintenance personnel can check the reasons of the abnormality in time, and the electric field can be lost.
Disclosure of Invention
In order to judge the reason of abnormal power generation of a photovoltaic module, the application provides a photovoltaic early warning method, electronic equipment, storage media and a system.
The photovoltaic early warning method provided by the application adopts the following technical scheme:
comprising the following steps:
acquiring actual output data and photovoltaic power generation parameters of each group of photovoltaic cell assemblies;
comparing the actual output data with the photovoltaic power generation parameters, and judging whether the actual power generation of the photovoltaic battery assembly is in a normal range or not;
if the actual power generation of the photovoltaic module is not in the normal range, marking the photovoltaic module as an abnormal photovoltaic module;
acquiring a bypass diode state of the abnormal photovoltaic cell assembly, wherein the bypass diode state comprises a conducting state and a closing state;
when the diode is in a conducting state, shadow shielding exists in the photovoltaic module, the shielding condition of the photovoltaic module is judged, and shadow shielding information is output;
and when the diode state is in a closed state, the photovoltaic module has equipment failure and equipment failure information is output.
By adopting the technical scheme, whether the photovoltaic module has abnormal power generation conditions or not is judged according to the actual output data of the photovoltaic module and the photovoltaic power generation parameters of the photovoltaic module. And detecting the working state of a bypass diode connected to each photovoltaic cell panel of the photovoltaic module with abnormal power generation, if the bypass diode is in a conducting state, shading and shielding exist on the photovoltaic cell panel connected to the bypass diode, if the bypass diode is not in the conducting state, the photovoltaic cell panel connected to the bypass diode fails, and outputting different early warning information under different abnormal conditions. The purpose of judging the abnormal power generation reason of the photovoltaic module is achieved.
Preferably, comparing the actual output data with the photovoltaic power generation parameters, and determining whether the actual power generation of the photovoltaic cell assembly is in a normal range includes:
the actual output data comprise actual power generation power data and actual power generation capacity data, and the photovoltaic power generation parameters comprise a preset power threshold range and a preset electric quantity threshold range;
and when the actual power generation power data exceeds the preset power threshold range or the actual power generation amount data exceeds the preset electric quantity threshold range, generating abnormality exists in the photovoltaic cell assembly.
By adopting the technical scheme, the actual power generation power data and the actual power generation capacity data are obtained, and the power threshold range and the electric quantity threshold range are preset. And comparing the actual power generation power data with a preset power threshold range, and comparing the actual power generation capacity data with a preset electric quantity threshold range. When any one of the two sets of data is in a threshold range which is not set any more, the actual power generation of the photovoltaic module is judged to be not in a normal range. The comparison of the two groups of data can enable the judgment result to be more accurate.
Preferably, when the diode state is an on state, the shading of the photovoltaic module further includes:
acquiring actual weather data and past shielding data;
the actual weather data comprise temperature data, weather data and season data during detection;
the past shielding data comprise the generated energy and the generated power of the photovoltaic battery assembly, which are shielded by shadows under different temperature data, different weather data and different season data;
and judging the actual shielding condition of the photovoltaic cell assembly according to the actual weather data and the past shielding data.
By adopting the technical scheme, the actual weather data and the past shielding data are compared to obtain the output data when the past shielding is performed, and the actual shielding type is judged according to the output data when the shielding is performed. The type that photovoltaic module was sheltered from can be accurately judged, the accuracy of discernment is improved.
Preferably, the judging the actual shielding condition of the photovoltaic cell assembly according to the actual weather data and the past shielding data comprises:
judging whether shadow shielding exists in a preset time before the current moment of the photovoltaic cell assembly;
acquiring a current shielding area and a past shielding area in the past shielding data;
judging the actual shielding condition according to the current shadow area and the past shadow area of the photovoltaic cell assembly if the shadow shielding exists in the preset time before the current moment;
when the current shadow area is the same as the past shadow area, the current shadow area is fixedly shielded;
judging whether the current shadow area is in a vegetation growing season or not according to the season data when the current shadow area is different from the past shadow area;
when the season data is vegetation growing season, the actual shielding condition is vegetation shielding;
when the season data is not vegetation growing season, the actual shielding condition is random shielding.
By adopting the technical scheme, whether shadow shielding exists in the preset time before the current moment is detected, and whether the shadow shielding is continuous shielding is judged. The shading area at the current moment is compared with the past shading area, whether the photovoltaic module is a fixed shade or vegetation shade can be distinguished, and the obtained rough shade information is obtained. The method is also beneficial to judging the specific condition that the photovoltaic module is shielded by shadow, so that a user has more sufficient preparation when obtaining shielding information.
Preferably, the judging the actual shielding condition according to the current shadow area and the past shadow area of the photovoltaic cell assembly includes:
if shadow shielding exists in the preset time before the current moment;
judging whether a past shielding condition exists according to the past shielding data, and judging whether the number of the conducted bypass diodes is the same as the number of the conducted bypass diodes in the past shielding process;
if the past shielding condition exists and the number of the bypass diodes in the current shielding condition is the same as the number of the bypass diodes in the past shielding condition, the areas are the same;
the area is different when the past shielding condition does not exist or the past shielding condition exists and the number of the current shielding condition bypass diodes is inconsistent with the number of the past shielding condition bypass diodes.
By adopting the technical scheme, when the past shielding condition exists and the number of the current shielding condition bypass diodes is consistent with the number of the past shielding condition bypass diodes, the judging areas are the same. The other conditions are judged to be different in area, and the accuracy of an area judgment result can be ensured through the two groups of data.
Preferably, determining whether shadow shielding exists in a preset time before the current moment of the photovoltaic cell assembly further includes:
judging weather cloudy and sunny according to the cloudy and sunny data if shadow shielding does not exist in the preset time before the current moment;
if the weather data is weather, continuously judging whether the conduction number of the bypass diodes is the same as that of the bypass diodes in the case of shielding in the past;
and if the weather data is not weather, the actual shielding is cloud shielding.
By adopting the technical scheme, whether weather is sunny or not is judged, and whether the number of conducted bypass diodes is the same as the number of conducted bypass diodes when shielding is carried out in the past or not is continuously judged when weather is sunny or not. The false judgment can be reduced, so that the actual shielding condition of the photovoltaic module is judged, and the actual shielding condition of the photovoltaic module is more refined and accurate.
Preferably, the method further comprises:
when shadow shielding exists in the photovoltaic module;
according to the working state of the bypass diode, counting the actual shielding condition of the photovoltaic cell panels connected with the bypass diode, the geographical position of the shadow shielding photovoltaic cell panels and the quantity of shielding photovoltaic cell panels;
and determining the type, the shielding position and the shielding area of the shielding object of each photovoltaic cell panel in the photovoltaic power station according to the actual shielding condition, the geographical position of the shielding photovoltaic cell panels by the shadow and the quantity of the shielding photovoltaic cell panels, and outputting shadow shielding information.
By adopting the technical scheme, the type, the shielding position and the shielding area of shielding objects of each photovoltaic cell panel are determined according to the conducted bypass diode, and shadow shielding information is output. When the user receives the shade shielding information, the type, the shielding position and the shielding area of the shielding object can be known, so that the user can take corresponding measures for the shielded photovoltaic module according to actual conditions.
Preferably, when the photovoltaic module has equipment failure;
counting the geographic positions of the fault photovoltaic cell panels, which are abnormal in power generation and are not conducted by the bypass diode, and the number of the fault photovoltaic cell panels;
and outputting equipment fault information according to the geographical positions of the fault photovoltaic cell panels and the number of the fault photovoltaic cell panels.
By adopting the technical scheme, equipment fault information is output according to the geographical positions of the fault photovoltaic panels and the number of the fault photovoltaic panels. When the user receives the equipment fault information, the position and the number of the photovoltaic panels with faults and the position of the photovoltaic module to which the user belongs can be known. So that the user can repair the failed photovoltaic cell panel conveniently.
In a second aspect the application provides an electronic device comprising a processor and a memory storing computer program instructions. The processor is used for executing a computer program to realize the photovoltaic early warning method.
In a third aspect of the present application, a storage medium is provided, on which computer program instructions are stored, for implementing the photovoltaic pre-warning method.
In summary, the present application includes at least one of the following beneficial technical effects:
1. and comparing the actual output data of the photovoltaic module with the power generation parameters of the photovoltaic module to judge the abnormal power generation condition of the photovoltaic module. And in combination of the abnormal power generation condition and the working state of the bypass diode, judging whether the abnormal power generation condition of the photovoltaic module is caused by shielding or equipment failure. The early warning information is output according to the abnormal power generation condition, so that the detection result of the photovoltaic module is more comprehensive and accurate, a user can timely know the power generation condition of each photovoltaic module of the photovoltaic power station, and the problems can be timely found and solved.
Drawings
FIG. 1 is a flow chart of a photovoltaic early warning method in an embodiment of the application;
FIG. 2 is another flow chart of a photovoltaic pre-warning method in an embodiment of the present application;
fig. 3 is a flowchart of a photovoltaic early warning method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments.
The application is described in further detail below with reference to fig. 1-3.
The embodiment of the application discloses a photovoltaic early warning method. The method is applied to the photovoltaic power station and is used for detecting abnormal power generation of the photovoltaic module and carrying out early warning according to the type of the abnormal power generation. The photovoltaic module is formed by connecting a plurality of photovoltaic cell panels in series, bypass diodes are connected in parallel in an anti-parallel mode on the photovoltaic cell panels, and the bypass diodes are arranged in junction boxes of the photovoltaic cell panels in actual application.
The method comprises the following steps:
and S1, acquiring actual output data of each group of photovoltaic modules and photovoltaic power generation parameters.
Actual weather data of the photovoltaic power station are collected, actual output data of all photovoltaic modules in the photovoltaic power station are obtained, and reference operation data of all photovoltaic modules in the photovoltaic power station are obtained.
The actual weather data includes temperature data at the time of detection, weather data, and season data. The temperature data may be detected by a temperature sensor provided within the photovoltaic power plant. The cloudy and sunny data and the season data can be obtained by obtaining weather forecast data of the area where the photovoltaic power station is located.
The actual output data of each photovoltaic module in the photovoltaic power station comprises actual power generation data and actual power generation data, and also comprises actual power generation data and actual power generation data of each branch.
The reference operation data comprise a preset power threshold range and a preset electric quantity threshold range of each photovoltaic module in normal operation.
And S2, comparing the actual output data with the photovoltaic power generation parameters to judge whether the actual power generation of the photovoltaic module is in a normal range.
And comparing the actual power generation power data with a preset power threshold range, and comparing the actual power generation capacity data with a preset electric quantity threshold range. If the actual power generation power data is not in the preset power threshold range, judging that the actual power generation of the photovoltaic module is not in the normal range. And if the actual power generation amount data is not in the preset power threshold range, judging that the actual power generation of the photovoltaic module is not in the normal range.
Taking power comparison as an example, the rated power P0 and the current actual power P1 of the photovoltaic module during normal operation are determined according to p=ui. Wherein p0=u0×i0, p1=u1×i1. Comparing the ratio of the actual power generation power P1 to the rated power generation power P0 with a preset power threshold value, judging whether the ratio is within the range of the preset power threshold value, and if not, judging that the actual power generation of the photovoltaic module is not within the normal range.
Taking the preset power threshold range of 0.8 to 1 as an example.
Calculating the rated power P0 as 250W in normal operation, calculating the actual power P1 as 175W, wherein the ratio of the actual power to the rated power is 0.7, and if the ratio of the actual power to the rated power is 0.7 and is not within the preset power threshold range, judging that the actual power generation of the photovoltaic module is not within the normal range in the current state. The comparison of the generated energy and the same is not repeated here.
And S3, acquiring working states of bypass diodes arranged on each photovoltaic cell panel in the abnormal power generation photovoltaic module, wherein the working states comprise a conducting state and a closing state.
In practical application, the state data of each bypass diode can be obtained in real time, wherein the state data comprises positive pressure data and back pressure data. And when the anode voltage of the bypass diode is larger than the cathode voltage, the bypass diode is positive. The bypass diode is back-pressed when the anode voltage of the bypass diode is smaller than the cathode voltage. When the bypass diode has positive voltage data, the current state is judged to be the conducting state, and when the bypass diode has negative voltage data, the current state is judged to be the closing state
And S4, carrying out abnormal classification on the photovoltaic cell panel with abnormal power generation according to the working state of the bypass diode.
And S41, judging that the photovoltaic cell panel connected with the bypass diode in a conducting state is shaded.
And step S42, judging that the photovoltaic cell panel connected with the bypass diode in the closed state is equipment failure.
And S5, outputting different early warning signals according to different abnormality types.
And counting the actual shielding condition of the photovoltaic cell panels connected with the bypass diode, the geographical position of the shading shielding photovoltaic cell panels and the quantity of the shielding photovoltaic cell panels, determining the shielding object type, the shielding position and the shielding area of each photovoltaic module in the photovoltaic power station, and outputting shading information.
And counting the positions of the fault photovoltaic cell panels, the number of the fault photovoltaic cell panels and the positions of the photovoltaic modules to which the fault photovoltaic cell panels are not connected, determining the positions of the fault photovoltaic cell panels and the number of the fault photovoltaic cell panels, and outputting equipment fault information.
In practical application, the number of each bypass diode can be calculated by combining the geographical data of power station construction and the component arrangement data at the initial stage of photovoltaic power station establishment, and the geographical position of the shielded photovoltaic component can be determined during the later shielding identification.
The positive pressure data of all bypass diodes in the photovoltaic power station in different time can be obtained through data statistics and screening, so that the past shielding data of the photovoltaic cell panels under all photovoltaic modules in the photovoltaic power station are obtained. The past shielding data of each photovoltaic module can be set according to the application environment, and in the embodiment, the past shielding data comprises geographic positions, shielding quantity, weather conditions and time.
In step S4, the type of shading the photovoltaic module determined to be shading is further including the following steps:
and judging the actual shielding type of the photovoltaic module according to the actual weather data and the past shielding data.
In step S411, when there is a shadow, it is detected whether there is a shadow in a preset time before the current time.
The preset time before the current moment can be set according to the conditions of each photovoltaic power station. In this embodiment, the preset time is set to 5min.
In step S4112, when there is no shadow shielding in the previous time, weather is determined according to the weather data.
In step S41121, when the weather is not sunny, it is determined that the shielding type in this case is a cloud shielding.
The shadow shielding does not occur in the preset time before the current shadow shielding, the current shielding indicates that the shadow is not continuous shadow shielding and the weather is not sunny during detection, and the shadow generated by the floating cloud shielding has a high probability.
And step S41122, continuously judging whether the conduction number of the bypass diodes is consistent with the conduction number of the bypass diodes when the shielding is carried out in the past when the weather is sunny.
In step S4111, when there is a shadow occlusion at the previous time, the actual type of occlusion is determined according to the past shadow area in the past occlusion data.
When a shadow exists at the previous moment, the shadow is indicated to be continuously existing, and the next judgment is needed by combining the past shielding condition.
The shadow area is judged according to the previous shielding condition and the conduction quantity of the bypass diode. When the past shielding condition exists and the conducting number of the bypass diodes in the current shielding condition is consistent with the format of the bypass diodes in the past shielding condition, the judging area is the same. And if the past shielding condition does not exist, or if the past shielding condition exists but the number of the current shielding condition bypass diodes is inconsistent with the number of the past shielding condition bypass diodes, judging that the areas are different.
In step S41111, if the shadow mask area is the same as the previous mask area at the current time, it is determined that the shadow mask is fixed.
Specifically, whether the shading of the photovoltaic cell panel with the same size exists in the past shading data or not can be found, if the shading exists in other time, the shading is likely to be fixed, and further if the shading with the same size exists in a plurality of time periods, the shading is likely to be fixed.
In practical application, the judging speed is improved for simplifying the judging process, and when the past shielding data is selected, the judgment can be performed according to the time period with the characteristics selected by the environment where the photovoltaic power station is located when the past shielding time period is selected. And selecting a time period with characteristics of the place where the photovoltaic power station is located, such as a time period with the longest shading. For example, take 5 to 19 points of the northern hemisphere summer solstice or 5 to 19 points of the southern hemisphere winter solstice.
In step S41112, if the shadow coverage area is not the same as the previous coverage area at the current time, it is determined whether the vegetation coverage is performed according to the seasonal data.
And step S411122, judging that the vegetation is blocked when the vegetation is in a vegetation growing season.
Judging whether the current season of the photovoltaic power station is a season in which vegetation grows vigorously according to the season data. And if the season is in the growing season, judging that the vegetation is blocked.
The season of vigorous growth can be set according to the place where the photovoltaic power station is located, for example, the season of vigorous growth of vegetation in northeast areas is summer, for example, the season of vigorous growth of vegetation is likely to be all the year round.
And step S411121, judging that the vegetation is randomly blocked if the vegetation is not in a season in which vegetation growth is vigorous.
The method is not in a season in which vegetation grows vigorously, namely, the season in which vegetation grows vigorously is blocked at the previous moment and is different from the past blocking area. In this case, the existence of the shade at the previous time can determine that the shade is continuous, and the difference of the shade area from the past can determine that the shade is not fixed in this case, and the shade is not vegetation in seasons in which vegetation is vigorous. The shielding under this condition may be judged to be random shielding of dust, bird droppings, snowfall, etc. according to the exclusion.
The embodiment also provides an electronic device, including:
at least one processor and at least one memory coupled to the processor;
the processor is used for executing the computer program in the memory to realize any photovoltaic early warning method.
The embodiment also provides a storage medium, which is used for storing a computer program, and the computer program is used for realizing any photovoltaic early warning method.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (10)
1. The photovoltaic early warning method is characterized by comprising the following steps of:
acquiring actual output data and photovoltaic power generation parameters of each group of photovoltaic cell assemblies;
comparing the actual output data with the photovoltaic power generation parameters, and judging whether the actual power generation of the photovoltaic battery assembly is in a normal range or not;
if the actual power generation of the photovoltaic module is not in the normal range, marking the photovoltaic module as an abnormal photovoltaic module;
acquiring a bypass diode state of the abnormal photovoltaic cell assembly, wherein the bypass diode state comprises a conducting state and a closing state;
when the diode is in a conducting state, shadow shielding exists in the photovoltaic module, the shielding condition of the photovoltaic module is judged, and shadow shielding information is output;
and when the diode state is in a closed state, the photovoltaic module has equipment failure and equipment failure information is output.
2. The photovoltaic early warning method according to claim 1, wherein comparing the actual output data with the photovoltaic power generation parameters, and determining whether the actual power generation of the photovoltaic cell assembly is in a normal range comprises:
the actual output data comprise actual power generation power data and actual power generation capacity data, and the photovoltaic power generation parameters comprise a preset power threshold range and a preset electric quantity threshold range;
and when the actual power generation power data exceeds the preset power threshold range or the actual power generation amount data exceeds the preset electric quantity threshold range, generating abnormality exists in the photovoltaic cell assembly.
3. The method of claim 1, wherein when the diode state is on, then the photovoltaic module is shaded, further comprising:
acquiring actual weather data and past shielding data;
the actual weather data comprise temperature data, weather data and season data during detection;
the past shielding data comprise the generated energy and the generated power of the photovoltaic battery assembly, which are shielded by shadows under different temperature data, different weather data and different season data;
and judging the actual shielding condition of the photovoltaic cell assembly according to the actual weather data and the past shielding data.
4. The photovoltaic warning method according to claim 3, wherein determining the actual shielding condition of the photovoltaic cell assembly according to the actual weather data and the past shielding data comprises:
judging whether shadow shielding exists in a preset time before the current moment of the photovoltaic cell assembly;
acquiring a current shielding area and a past shielding area in the past shielding data;
judging the actual shielding condition according to the current shadow area and the past shadow area of the photovoltaic cell assembly if the shadow shielding exists in the preset time before the current moment;
when the current shadow area is the same as the past shadow area, the current shadow area is fixedly shielded;
judging whether the current shadow area is in a vegetation growing season or not according to the season data when the current shadow area is different from the past shadow area;
when the season data is vegetation growing season, the actual shielding condition is vegetation shielding;
when the season data is not vegetation growing season, the actual shielding condition is random shielding.
5. The method of claim 4, wherein determining an actual shielding condition based on the current shadow area and the past shadow area of the photovoltaic cell assembly comprises:
if shadow shielding exists in the preset time before the current moment;
judging whether a past shielding condition exists according to the past shielding data, and judging whether the number of the conducted bypass diodes is the same as the number of the conducted bypass diodes in the past shielding process;
if the past shielding condition exists and the number of the bypass diodes in the current shielding condition is the same as the number of the bypass diodes in the past shielding condition, the areas are the same;
the area is different when the past shielding condition does not exist or the past shielding condition exists and the number of the current shielding condition bypass diodes is inconsistent with the number of the past shielding condition bypass diodes.
6. The method of claim 4, wherein determining whether shadow shielding exists within a preset time before a current time of the photovoltaic cell assembly further comprises:
judging weather cloudy and sunny according to the cloudy and sunny data if shadow shielding does not exist in the preset time before the current moment;
if the weather data is weather, continuously judging whether the conduction number of the bypass diodes is the same as that of the bypass diodes in the case of shielding in the past;
and if the weather data is not weather, the actual shielding is cloud shielding.
7. The photovoltaic pre-warning method according to any one of claims 1 to 6, characterized in that: the method further comprises the steps of:
when shadow shielding exists in the photovoltaic module;
according to the working state of the bypass diode, counting the actual shielding condition of the photovoltaic cell panels connected with the bypass diode, the geographical position of the shadow shielding photovoltaic cell panels and the quantity of shielding photovoltaic cell panels;
and determining the type, the shielding position and the shielding area of the shielding object of each photovoltaic cell panel in the photovoltaic power station according to the actual shielding condition, the geographical position of the shielding photovoltaic cell panels by the shadow and the quantity of the shielding photovoltaic cell panels, and outputting shadow shielding information.
8. The photovoltaic pre-warning method according to any one of claims 1 to 7, characterized in that: the method further comprises the steps of:
when equipment faults exist in the photovoltaic module;
counting the geographic positions of the fault photovoltaic cell panels, which are abnormal in power generation and are not conducted by the bypass diode, and the number of the fault photovoltaic cell panels;
and outputting equipment fault information according to the geographical positions of the fault photovoltaic cell panels and the number of the fault photovoltaic cell panels.
9. An electronic device, characterized in that: a storage comprising a processor and stored computer program instructions for executing a computer program to implement the photovoltaic pre-warning method of any one of claims 1 to 8.
10. A storage medium having stored thereon computer program instructions for implementing the photovoltaic pre-warning method of any one of claims 1 to 8.
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