CN114389529B - Photovoltaic module angle adjusting system and method - Google Patents
Photovoltaic module angle adjusting system and method Download PDFInfo
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- CN114389529B CN114389529B CN202111442922.4A CN202111442922A CN114389529B CN 114389529 B CN114389529 B CN 114389529B CN 202111442922 A CN202111442922 A CN 202111442922A CN 114389529 B CN114389529 B CN 114389529B
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- 238000012545 processing Methods 0.000 claims abstract description 12
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- 238000007405 data analysis Methods 0.000 claims description 12
- 238000013527 convolutional neural network Methods 0.000 claims description 4
- 238000003062 neural network model Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 abstract description 3
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- 238000013473 artificial intelligence Methods 0.000 description 2
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Classifications
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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
- H02S20/00—Supporting structures for PV modules
- H02S20/30—Supporting structures being movable or adjustable, e.g. for angle adjustment
- H02S20/32—Supporting structures being movable or adjustable, e.g. for angle adjustment specially adapted for solar tracking
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Abstract
The application discloses a system and a method for adjusting the angle of a photovoltaic module, relates to the technical field of application of photovoltaic modules, and solves the technical problems of large angle error and low solar energy utilization rate caused by manual adjustment or positioning capture technology adjustment of the photovoltaic module in the prior art; according to the application, a certain photovoltaic module is taken as a datum point, solar incident angle data are acquired by combining a third party astronomical platform, and then an optimal incident angle sequence corresponding to each photovoltaic module is acquired according to a position topological relation and the like, so that intelligent and efficient adjustment of angles of the photovoltaic modules is realized; the solar incident angle data and the optimal incident angle sequence of each photovoltaic module can be obtained in advance, so that the angle adjustment precision is ensured, and meanwhile, full intellectualization is realized; the photovoltaic modules are classified according to the position relation and the type relation, so that the high efficiency and the accuracy of data processing are improved; the angle state of the photovoltaic module is visually displayed through the position topological relation, so that a good monitoring effect can be achieved.
Description
Technical Field
The application belongs to the field of application of photovoltaic modules, relates to a photovoltaic module angle adjusting technology, and particularly relates to a photovoltaic module angle adjusting system and method.
Background
The photovoltaic module is a core part in a solar power generation system and is also the most important part in the solar power generation system; the solar energy is converted into electric energy, or is sent to a storage battery for storage, or drives a load to work.
In the prior art, the angle of a part of the photovoltaic modules is not adjustable, and when the photovoltaic modules are installed, the photovoltaic modules are adjusted to the optimal angle, and the angle of the part of the photovoltaic modules is adjustable, but the adjustment and the setting are required to be manually and regularly carried out, so that the solar energy utilization rate is not high; the sun is positioned by the photovoltaic module through a real-time positioning capturing technology, so that the angle is automatically adjusted, and although the intelligent adjustment of the angle is realized, the positioning capturing error and the data processing are not well analyzed, so that the angle adjusting precision has errors; therefore, there is a need for an intelligent and efficient photovoltaic module regulation system.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art; therefore, the application provides a photovoltaic module angle adjusting system and method, which are used for solving the technical problems of large angle error and low solar energy utilization rate caused by manual or positioning capturing technology in the prior art when the photovoltaic module is adjusted, and the application takes a certain photovoltaic module as a datum point to acquire solar incident angle data, acquires an optimal incident angle sequence corresponding to each photovoltaic module according to a position topological relation and the like, so that the intelligent and efficient adjustment of the angles of the photovoltaic modules is realized.
To achieve the above object, an embodiment according to a first aspect of the present application provides a photovoltaic module angle adjustment system, including:
and a data analysis module: the photovoltaic module base point is used for constructing a position topological relation according to the adjusting area, classifying the photovoltaic module according to the position topological relation and selecting the photovoltaic module base point according to the classifying result; acquiring solar incident angle data in advance based on a photovoltaic module base point, acquiring a solar incident angle sequence after data processing, and transmitting the solar incident angle sequence to a corresponding photovoltaic module base point;
and the angle adjusting module is used for: and acquiring an optimal incident angle sequence of each photovoltaic module by combining the position topological relation and the solar incident angle sequence, and adjusting the angles of the photovoltaic modules in real time or in a timing manner according to the optimal incident angle sequence.
Preferably, the data analysis module constructs a position topological relation and obtains a classification result, including:
acquiring photovoltaic module installation data of an adjusting area; the photovoltaic module installation data comprise installation positions and installation quantity, and the adjustment area is an area needing angle adjustment of the photovoltaic module;
establishing a position topological relation according to the photovoltaic module installation data;
classifying the photovoltaic modules according to the position relation and/or the type relation based on the position topological relation to obtain a classification result; wherein the type relationships include civil type, commercial type, and public type.
Preferably, classifying the photovoltaic modules according to the positional relationship includes:
dividing the adjusting area into a plurality of adjusting subareas; the quantity of the photovoltaic modules in the plurality of adjustment areas is consistent with that of the adjustment areas;
and classifying the photovoltaic modules in each regulation subarea into one type, and obtaining a classification result.
Preferably, the photovoltaic modules in the adjusting area are divided according to the type relation, and a classification result is obtained.
Preferably, classifying the photovoltaic modules according to the positional relationship and the type relationship includes:
and classifying the photovoltaic modules in each regulation subarea according to the type relation to obtain a classification result.
Preferably, any photovoltaic module in the classification result or a photovoltaic module positioned at the center of the characteristic area is selected as a photovoltaic module base point of the characteristic area; the characteristic region comprises an adjusting region and an adjusting sub-region, and the characteristic region corresponds to the classifying result.
Preferably, the data analysis module obtains a solar incident angle sequence based on a photovoltaic module base point, including:
the method comprises the steps of pre-obtaining solar incident angle data through a third party astronomical platform by taking coordinates of a photovoltaic module base point as a reference;
carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method; or alternatively
Acquiring a solar incident angle sequence through an artificial intelligent model, and carrying out verification by combining solar incident angle data; the solar incidence angle sequence comprises time and corresponding solar incidence angles, and the artificial intelligent model is constructed based on a deep convolutional neural network model or an RBF neural network model.
Preferably, the angle adjustment module obtains an optimal incident angle sequence of each photovoltaic module, including:
transmitting the solar incident angle sequence to the photovoltaic modules in the characteristic area of the base point of the photovoltaic modules, and calculating and obtaining a corresponding optimal incident angle sequence by each photovoltaic module according to the position topological relation; or alternatively
And calculating an optimal incident angle sequence corresponding to each photovoltaic module in the characteristic region by combining the photovoltaic module base points with the position topological relation, and sending the optimal incident angle sequence to the corresponding photovoltaic module.
Preferably, the angle adjusting module adjusts the angle of the corresponding photovoltaic module according to the optimal incident angle sequence, and visually displays the angle state of the photovoltaic module through the position topological relation.
A photovoltaic module angle adjustment method comprising:
acquiring photovoltaic module installation data of an adjusting area, and establishing a position topological relation according to the photovoltaic module installation data; dividing the adjusting area into a plurality of adjusting subareas, classifying the photovoltaic modules in each adjusting subarea into one type, and obtaining a classification result;
selecting any photovoltaic module in the classification result or a photovoltaic module positioned in the central position of the characteristic area as a photovoltaic module base point of the characteristic area; the method comprises the steps of pre-obtaining solar incident angle data through a third party astronomical platform by taking coordinates of a photovoltaic module base point as a reference;
carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method or an artificial intelligent model;
and (3) acquiring an optimal incident angle sequence of each photovoltaic module according to the combination of the solar incident angle sequence and the position topological relation, and adjusting the angles of the photovoltaic modules in real time or in a timing manner according to the optimal incident angle sequence.
Compared with the prior art, the application has the beneficial effects that:
1. according to the application, a certain photovoltaic module is taken as a datum point, solar incident angle data are acquired by combining a third party astronomical platform, and then an optimal incident angle sequence corresponding to each photovoltaic module is acquired according to a position topological relation and the like, so that intelligent and efficient adjustment of angles of the photovoltaic modules is realized; the solar incident angle data and the optimal incident angle sequence of each photovoltaic module can be obtained in advance, the angle adjusting precision is ensured, and meanwhile, full intellectualization is realized.
2. The photovoltaic modules are classified according to the position relation and the type relation, and flexibly divided according to actual requirements, so that the high efficiency and the accuracy of data processing are improved; the angle state of the photovoltaic module is visually displayed through the position topological relation, so that a good monitoring effect can be achieved.
Drawings
FIG. 1 is a schematic diagram of the working steps of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Along with the continuous reduction of the reserves of fossil energy, new energy is rapidly developed, wherein the application of solar energy is the most widely and mature new energy; the angle of a part of photovoltaic modules in the prior art is not adjustable, such as a solar street lamp, solar energy is collected through the fixed photovoltaic modules, and the solar energy is stored in a storage battery; some photovoltaic modules are adjustable, but require manual adjustment; the sun is positioned by the photovoltaic module through a real-time positioning and capturing technology, so that the angle is automatically adjusted; however, the scheme is low in intelligent degree, low in solar energy utilization rate, low in precision and error, and cannot meet the requirements; according to the application, a certain photovoltaic module is taken as a datum point, solar incident angle data are obtained, and then an optimal incident angle sequence corresponding to each photovoltaic module is obtained according to a position topological relation and the like, so that intelligent and efficient adjustment of angles of the photovoltaic modules is realized.
Referring to fig. 1, the present application provides a photovoltaic module angle adjustment system, which includes:
and a data analysis module: the photovoltaic module base point is used for constructing a position topological relation according to the adjusting area, classifying the photovoltaic module according to the position topological relation and selecting the photovoltaic module base point according to the classifying result; acquiring solar incident angle data in advance based on a photovoltaic module base point, acquiring a solar incident angle sequence after data processing, and transmitting the solar incident angle sequence to a corresponding photovoltaic module base point;
and the angle adjusting module is used for: and acquiring an optimal incident angle sequence of each photovoltaic module by combining the position topological relation and the solar incident angle sequence, and adjusting the angles of the photovoltaic modules in real time or in a timing manner according to the optimal incident angle sequence.
It is to be appreciated that the data analysis module is in communication and/or electrical connection with the angle adjustment module, the data analysis module being connected with the third party astronomical platform; the angle adjusting module is connected with a controller of the photovoltaic module.
In one embodiment, the data analysis module constructs a position topological relation and obtains a classification result, including:
acquiring photovoltaic module installation data of an adjusting area, and establishing a position topological relation according to the photovoltaic module installation data; classifying the photovoltaic modules according to the position relation and/or the type relation based on the position topological relation, and obtaining a classification result.
In this embodiment, the photovoltaic module installation data includes data that can characterize the installation scale of the photovoltaic module, such as installation positions, installation number, and the like; the adjusting area is an area where the angle of the photovoltaic module needs to be adjusted, such as a county level area or an area of the photovoltaic module operated by a company.
In this embodiment, the type relationship includes a civil type, a commercial type, and a public type; if the resident installs the photovoltaic device by oneself, the photovoltaic device operated by a certain company can be defined as a civil type, and the photovoltaic device arranged and maintained by the finance of a certain county can be defined as a public type; the civil type, commercial type and public type corresponding photovoltaic modules can be subjected to angle adjustment uniformly, and can also be subjected to angle adjustment in a classified manner; in other preferred embodiments, the photovoltaic modules may be delineated into other types as desired.
The main objective in this embodiment is to correlate the photovoltaic modules in the adjustment area and perform visual monitoring, and meanwhile, classify the photovoltaic modules, so that the angle of the photovoltaic modules can be adjusted conveniently, and the adjustment efficiency can be improved.
In a specific embodiment, classifying the photovoltaic modules according to the positional relationship includes:
dividing the adjusting area into a plurality of adjusting subareas, classifying the photovoltaic modules in each adjusting subarea into one type, and obtaining a classification result.
It is worth noting that the number of photovoltaic modules in the plurality of adjustment sub-areas is consistent with that of the adjustment areas, namely the sum of the number of photovoltaic modules in all the adjustment sub-areas is consistent with that of the photovoltaic modules in the whole adjustment area, and the photovoltaic modules are not repeated; it is not necessary to ensure that the sum of the areas of all the adjustment sub-areas is equal to the area of the adjustment area; it will be appreciated that the shape and area of the several regulatory sub-regions need not be identical.
In the embodiment, the photovoltaic modules with similar positions are defined to one regulation subarea, the quantity of the photovoltaic modules in each regulation subarea is ensured, and the corresponding optimal incident angle sequence can be timely and efficiently acquired.
In a specific embodiment, the photovoltaic modules in the adjustment area are divided according to the type relation, and a classification result is obtained.
The photovoltaic modules are classified according to the type relation of the photovoltaic modules, and the photovoltaic modules belonging to the same type are classified, so that the management and adjustment are convenient.
In an alternative embodiment, the photovoltaic modules are classified according to the position relationship and the type relationship, and specifically, the photovoltaic modules in each adjustment subarea are classified according to the type relationship, so that a classification result is obtained.
In the embodiment, the position relation and the type relation are combined, the adjusting area is divided into adjusting subareas through the position relation, and the adjusting subareas are divided through the type relation; in other preferred embodiments, the photovoltaic modules may be divided by a type relationship, and then the divided photovoltaic modules may be formed into the adjustment sub-areas by a position relationship; the classification result is more refined, and the adjustment efficiency and the adjustment precision of the photovoltaic module can be further ensured.
In one embodiment, any photovoltaic module in the classification result, or a photovoltaic module located at the center of the feature area, is selected as a photovoltaic module base point of the feature area.
It is noted that the characteristic region comprises an adjustment region and an adjustment sub-region, and the characteristic region corresponds to the classification result; in this embodiment, the base point of the photovoltaic module needs to be obtained according to the classification result, which may be optional or may be a specified photovoltaic module, and if the area of the feature area is very large, the photovoltaic module at the center position of the feature area or the photovoltaic module closest to the center position is selected as the base point of the photovoltaic module.
In one embodiment, the data analysis module obtains a solar incident angle sequence based on a photovoltaic module base point, comprising:
the method comprises the steps of pre-obtaining solar incident angle data through a third party astronomical platform by taking coordinates of a photovoltaic module base point as a reference;
carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method; or alternatively
Acquiring a solar incident angle sequence through an artificial intelligent model, and carrying out verification by combining solar incident angle data; the solar incidence angle sequence comprises time and corresponding solar incidence angles, and the artificial intelligent model is constructed based on a deep convolutional neural network model or an RBF neural network model.
In this embodiment, when the solar incident angle data (relative to the base point of the photovoltaic module) is obtained in advance by fitting the solar incident angle data by using a polynomial fitting method, a functional relationship between time and solar incident angle data is generated by using polynomial fitting, and the functional relationship can be parameterized when angle adjustment is performed.
In this embodiment, the solar incident angle sequence obtained by the artificial intelligent model is verified by combining the solar incident angle data, and it is essential that the accuracy of the artificial intelligent model is verified by using the solar incident angle data of the third party astronomical platform as standard data.
Notably, the pre-acquisition is essentially a pre-acquisition, but depends on the third party astronomical platform, such as today's acquisition of tomorrow's sun incidence angle data from the third party astronomical platform.
In this embodiment, the obtaining the sequence of solar incident angles through the artificial intelligence model includes:
acquiring a solar incident angle array through a third party astronomical platform; the solar incidence angle array comprises N solar incidence angle data of continuous natural days, wherein N is an integer greater than 180;
establishing an angle lookup table according to the solar incidence angle array after data preprocessing; the angle lookup table comprises a date, a time and a corresponding sun incident angle, wherein the date is a serial number of a corresponding natural day in the whole year;
constructing an artificial intelligent model; the artificial intelligence model comprises a deep convolutional neural network model and an RBF neural network model;
dividing an angle lookup table into a training set, a testing set and a checking set; training the artificial intelligent model by taking the sun incidence angles in the training set, the testing set and the checking set as the output of the artificial intelligent model;
and then inputting the date and time to obtain the solar incident angle sequence in advance.
In one embodiment, the angle adjustment module obtains an optimal sequence of angles of incidence for each photovoltaic module, comprising:
transmitting the solar incident angle sequence to the photovoltaic modules in the characteristic area of the base point of the photovoltaic modules, and calculating and obtaining a corresponding optimal incident angle sequence by each photovoltaic module according to the position topological relation; or alternatively
And calculating an optimal incident angle sequence corresponding to each photovoltaic module in the characteristic region by combining the photovoltaic module base points with the position topological relation, and sending the optimal incident angle sequence to the corresponding photovoltaic module.
In this embodiment, after the solar incident angle sequence is obtained, the base point of the photovoltaic module calculates the optimal incident angle sequence of other photovoltaic modules in the feature area according to the position topological relation, or each photovoltaic module in the feature area calculates the optimal incident angle sequence by combining the solar incident angle sequence and the position topological relation.
It is noted that the angle sequence in the present application at least includes time and corresponding angle, and the solar incident angle sequence is the optimal incident angle sequence corresponding to the base point of the photovoltaic module.
The working principle of the application is as follows:
acquiring photovoltaic module installation data of an adjusting area, and establishing a position topological relation according to the photovoltaic module installation data; dividing the adjusting area into a plurality of adjusting subareas, classifying the photovoltaic modules in each adjusting subarea into one type, and obtaining a classification result.
Selecting any photovoltaic module in the classification result or a photovoltaic module positioned in the central position of the characteristic area as a photovoltaic module base point of the characteristic area; and taking the coordinates of the base point of the photovoltaic module as a reference, and acquiring solar incident angle data in advance through a third-party astronomical platform.
And carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method or an artificial intelligent model.
And (3) acquiring an optimal incident angle sequence of each photovoltaic module according to the combination of the solar incident angle sequence and the position topological relation, and adjusting the angles of the photovoltaic modules in real time or in a timing manner according to the optimal incident angle sequence.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (6)
1. A photovoltaic module angle adjustment system, comprising:
and a data analysis module: the photovoltaic module base point is used for constructing a position topological relation according to the adjusting area, classifying the photovoltaic module according to the position topological relation and selecting the photovoltaic module base point according to the classifying result; acquiring solar incident angle data in advance based on a photovoltaic module base point, acquiring a solar incident angle sequence after data processing, and transmitting the solar incident angle sequence to a corresponding photovoltaic module base point;
and the angle adjusting module is used for: the position topological relation and the solar incident angle sequence are combined to obtain an optimal incident angle sequence of each photovoltaic module, and the angles of the photovoltaic modules are adjusted in real time or at regular time according to the optimal incident angle sequence;
the data analysis module builds a position topological relation and acquires a classification result, and the method comprises the following steps:
acquiring photovoltaic module installation data of an adjusting area; the photovoltaic module installation data comprise installation positions and installation quantity, and the adjustment area is an area needing angle adjustment of the photovoltaic module;
establishing a position topological relation according to the photovoltaic module installation data;
classifying the photovoltaic modules according to the position relation and/or the type relation based on the position topological relation to obtain a classification result; wherein the type relationship includes civil type, commercial type and public type;
classifying the photovoltaic modules according to the position relationship, including:
dividing the adjusting area into a plurality of adjusting subareas; the quantity of the photovoltaic modules in the plurality of adjustment areas is consistent with that of the adjustment areas;
classifying the photovoltaic modules in each regulation subarea into one type, and obtaining a classification result;
dividing the photovoltaic modules in the adjusting area according to the type relation to obtain a classification result;
the data analysis module obtains a solar incident angle sequence based on a photovoltaic module base point, and the data analysis module comprises:
the method comprises the steps of pre-obtaining solar incident angle data through a third party astronomical platform by taking coordinates of a photovoltaic module base point as a reference;
carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method; or alternatively
Acquiring a solar incident angle sequence through an artificial intelligent model, and carrying out verification by combining solar incident angle data; the solar incidence angle sequence comprises time and corresponding solar incidence angles, and the artificial intelligent model is constructed based on a deep convolutional neural network model or an RBF neural network model.
2. The photovoltaic module angle adjustment system of claim 1, wherein classifying the photovoltaic modules according to the positional relationship and the type relationship comprises:
and classifying the photovoltaic modules in each regulation subarea according to the type relation to obtain a classification result.
3. The photovoltaic module angle adjustment system according to any one of claims 1 to 2, wherein any photovoltaic module in the classification result or a photovoltaic module located at the center of the characteristic area is selected as a photovoltaic module base point of the characteristic area; the characteristic region comprises an adjusting region and an adjusting sub-region, and the characteristic region corresponds to the classifying result.
4. The photovoltaic module angle adjustment system of claim 1, wherein the angle adjustment module obtains an optimal sequence of angles of incidence for each photovoltaic module, comprising:
transmitting the solar incident angle sequence to the photovoltaic modules in the characteristic area of the base point of the photovoltaic modules, and calculating and obtaining a corresponding optimal incident angle sequence by each photovoltaic module according to the position topological relation; or alternatively
And calculating an optimal incident angle sequence corresponding to each photovoltaic module in the characteristic region by combining the photovoltaic module base points with the position topological relation, and sending the optimal incident angle sequence to the corresponding photovoltaic module.
5. The photovoltaic module angle adjustment system according to claim 1, wherein the angle adjustment module adjusts the angle of the corresponding photovoltaic module according to the optimal incident angle sequence, and visually displays the angle state of the photovoltaic module through the positional topological relation.
6. The method for adjusting an angle adjustment system of a photovoltaic module according to claim 1, comprising:
acquiring photovoltaic module installation data of an adjusting area, and establishing a position topological relation according to the photovoltaic module installation data; dividing the adjusting area into a plurality of adjusting subareas, classifying the photovoltaic modules in each adjusting subarea into one type, and obtaining a classification result;
selecting any photovoltaic module in the classification result or a photovoltaic module positioned in the central position of the characteristic area as a photovoltaic module base point of the characteristic area; the method comprises the steps of pre-obtaining solar incident angle data through a third party astronomical platform by taking coordinates of a photovoltaic module base point as a reference;
carrying out data processing on the solar incident angle data, and acquiring a solar incident angle sequence by combining a polynomial fitting method or an artificial intelligent model;
and (3) acquiring an optimal incident angle sequence of each photovoltaic module according to the combination of the solar incident angle sequence and the position topological relation, and adjusting the angles of the photovoltaic modules in real time or in a timing manner according to the optimal incident angle sequence.
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