CN111752330A - Photovoltaic maximum power tracking control device and method - Google Patents
Photovoltaic maximum power tracking control device and method Download PDFInfo
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Abstract
The invention provides a photovoltaic maximum power tracking control device, which comprises: the acquisition module is used for acquiring environmental parameters influencing the work of the photovoltaic module through the sensor; the photovoltaic database receives the acquired environmental parameters and performs data matching in the photovoltaic database according to the environmental parameters to acquire working parameters and a maximum power point of the photovoltaic assembly; and the controller keeps the photovoltaic module to work under the acquired working parameters and the maximum power point. The invention also provides a photovoltaic maximum power tracking control method. According to the scheme of the invention, the global photovoltaic maximum power point does not need to be determined by utilizing a large step length, the system speed is improved, when the external environment changes, the database rapidly positions a new state, the photovoltaic maximum power point is rapidly and stably updated, and the system oscillation is reduced.
Description
Technical Field
The invention relates to the field of photovoltaic power generation control, in particular to a device and a method for tracking and controlling photovoltaic maximum power.
Background
In recent years, with the gradual depletion of energy sources and the continuous decline of air quality, people look to clean renewable energy sources such as solar energy, wind energy, hydroenergy and the like, so that the photovoltaic technology is developed rapidly. The output characteristics of a photovoltaic array (a photovoltaic module or a photovoltaic panel) can change along with the change of external environmental conditions, and in order to obtain higher photoelectric conversion efficiency, the working point of the photovoltaic array is adjusted by changing the equivalent load carried by the photovoltaic array, so that the photovoltaic array always works near the maximum power point, and Maximum Power Point Tracking (MPPT) control needs to be performed on the photovoltaic array, therefore, the MPPT control method becomes a research hotspot in recent years.
At present, methods for realizing MPPT control include a constant voltage method, a power feedback method, a disturbance observation method, a conductance increment method, a fuzzy control method, an artificial neural network method, an intelligent control method, and the like, but these methods cannot simultaneously realize dual optimization effects of quickly positioning a global Maximum Power Point (MPP) at an early stage of a system and stably operating the system at a later stage. Therefore, the invention provides a control method of photovoltaic maximum power point tracking based on data statistics, which not only can realize the rapid positioning of the global MPP of the system, but also can rapidly position the local MPP when the environment changes, so that the system has high stability.
Disclosure of Invention
The present invention is directed to solving the problems associated with the prior art described above. The invention provides a device for tracking and controlling a photovoltaic maximum power and a method for tracking and controlling the photovoltaic maximum power on the other hand. According to the scheme provided by the invention, the global MPP is determined without utilizing a large step length, so that the system speed is improved; in addition, when the external environmental factors change, the photovoltaic database can quickly locate a new state and quickly and stably update the MPP.
The invention provides a photovoltaic maximum power tracking control method in a first aspect, which comprises the following steps: collecting environmental parameters influencing the work of the photovoltaic module through a sensor; inputting the collected environmental parameters into a photovoltaic database, and performing data matching in the photovoltaic database according to the environmental parameters to obtain working parameters and a maximum power point of the photovoltaic component; and keeping the photovoltaic module to work under the obtained working parameters and the maximum power point.
According to one embodiment of the present invention, the environmental parameters include at least illumination intensity and temperature, and the operating parameters include at least output voltage and current of the photovoltaic module.
According to one embodiment of the invention, when the environmental parameters change in real time, the sensor inputs the changed environmental parameters into the photovoltaic database, and the photovoltaic database reacquires the working parameters and the maximum power point of the photovoltaic module according to the changed environmental parameters and updates the related data in the database.
According to an embodiment of the present invention, the photovoltaic database includes a data acquisition module, configured to acquire static data and dynamic information of the photovoltaic module, where the static data is a data type of an environmental parameter acquired by the sensor, and the dynamic data is a numerical quantity corresponding to the static data at each time, where the numerical quantity at least includes a voltage, a current, and a power of the photovoltaic module.
According to an embodiment of the invention, the photovoltaic database further comprises: the data storage module is used for storing the data acquired by the data acquisition module; the ETL is used for extracting, converting and loading the stored data; the data preprocessing module is used for sending the data output by the ETL into a data warehouse for data preprocessing; the data mining module classifies data types and linearly fits the data to avoid storing the data with larger fluctuation; and the data application module outputs the data processed by the data mining module in a chart mode so as to facilitate searching and data matching according to the environment parameters.
According to an embodiment of the present invention, when the environmental parameter change is caused by the photovoltaic module being blocked or the sun being blocked, the area of the photovoltaic module is in a positive correlation with the operating parameter and the maximum power point, where the parameter k in the positive correlation is the area after the photovoltaic module is blocked/the original area of the photovoltaic module.
According to one embodiment of the invention, the data in the photovoltaic database is rapidly matched through a processing module to improve the tracking speed and the tracking accuracy of the maximum power point.
According to an embodiment of the present invention, the graph data output by the data application module is a matrix with the experimental temperature, the illumination intensity as input and the photovoltaic module working voltage, the working current and the maximum power point as output.
The second aspect of the present invention provides a device for tracking and controlling a photovoltaic maximum power, including: the acquisition module is used for acquiring environmental parameters influencing the work of the photovoltaic module through the sensor; the photovoltaic database receives the acquired environmental parameters and performs data matching in the photovoltaic database according to the environmental parameters to acquire working parameters and a maximum power point of the photovoltaic assembly; and the controller keeps the photovoltaic module to work under the acquired working parameters and the maximum power point.
According to one embodiment of the invention, the environmental parameters comprise at least illumination intensity and temperature, and the operating parameters comprise output voltage and current of the photovoltaic module.
According to one embodiment of the invention, when the environmental parameters change in real time, the sensor inputs the changed environmental parameters into the photovoltaic database, and the photovoltaic database reacquires the working parameters and the maximum power point of the photovoltaic module according to the changed environmental parameters and updates the related data in the database.
According to an embodiment of the present invention, the data acquisition module is configured to acquire static data and dynamic information of the photovoltaic module, where the static data is a data type of an environmental parameter acquired by the sensor, and the dynamic data is a numerical quantity corresponding to the static data at each moment, where the numerical quantity at least includes a working voltage, a current, and a power of the photovoltaic module; the data storage module is used for storing the data acquired by the data acquisition module; the ETL is used for extracting, converting and loading the stored data; the data preprocessing module is used for sending the data output by the ETL into a data warehouse for data preprocessing; the data mining module classifies data types and linearly fits the data to avoid storing the data with larger fluctuation; and the data application module outputs the data processed by the data mining module in a chart mode so as to facilitate searching and data matching according to the environment parameters.
According to an embodiment of the invention, the photovoltaic power generation system further comprises a processing module, which is used for performing fast matching on the data in the photovoltaic database to improve the tracking speed and the tracking accuracy of the maximum power point.
According to one embodiment of the present invention, when the environmental parameter change is caused by the photovoltaic module being blocked or the sun being blocked, the area of the photovoltaic module is in a positive correlation with the operating parameter and the maximum power point, where the parameter k in the positive correlation is the area after the photovoltaic module is blocked/the original area of the photovoltaic module.
According to an embodiment of the present invention, the graph data output by the data application module is a matrix with the experimental temperature, the illumination intensity as input and the photovoltaic module working voltage, the working current and the maximum power point as output.
A third aspect of the invention provides a machine-readable medium having stored thereon instructions that, when executed, cause a machine to perform a method of photovoltaic maximum power tracking control as provided by the first aspect of the invention.
By adopting the embodiment of the invention, the beneficial effects are as follows: 1) the global MPP is determined without using a large step length, and the system speed is improved; 2) when the external environment changes, the database rapidly positions a new state, rapidly and stably updates the MPP, and reduces system oscillation; 3) the photovoltaic database can rapidly and stably work at a photovoltaic maximum power point under the condition of updating input data in real time, so that a photovoltaic system provided with the device can stably run.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method of photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention.
Fig. 2 is a block diagram of photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a photovoltaic database according to an exemplary embodiment of the present invention.
Fig. 4 is an output graph of a photovoltaic database according to an exemplary embodiment of the present invention.
Fig. 5 is a block diagram of an apparatus for photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention.
Detailed Description
As used herein, the terms "first," "second," and the like may be used to describe elements of exemplary embodiments of the invention. These terms are only used to distinguish one element from another element, and the inherent features or order of the corresponding elements and the like are not limited by the terms. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, are to be interpreted as having a meaning that is consistent with their context in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Those skilled in the art will understand that the devices and methods of the present invention described herein and illustrated in the accompanying drawings are non-limiting exemplary embodiments and that the scope of the present invention is defined solely by the claims. Features illustrated or described in connection with one exemplary embodiment may be combined with features of other embodiments. Such modifications and variations are intended to be included within the scope of the present invention.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, a detailed description of related known functions or configurations is omitted to avoid unnecessarily obscuring the technical points of the present invention. In addition, the same reference numerals refer to the same circuits, modules or units throughout the description, and repeated descriptions of the same circuits, modules or units are omitted for brevity.
Further, it should be understood that one or more of the following methods or aspects thereof may be performed by at least one control unit or controller. The term "control unit" or "controller" may refer to a hardware device that includes a memory and a processor. The memory is configured to store program instructions, and the processor is specifically configured to execute the program instructions to perform one or more processes that will be described further below. Moreover, it is to be understood that the following method may be performed by an apparatus comprising a control unit in combination with one or more other components, as will be appreciated by one of ordinary skill in the art.
Fig. 1 is a flowchart of a method of photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention.
As shown in fig. 1, at S101, environmental parameters affecting the photovoltaic module (a photovoltaic array or a photovoltaic panel may also be used, and the following description refers to the photovoltaic module for clarity and uniformity) are collected through a sensor, and the commonly used environmental parameters include various factors affecting photovoltaic power generation, such as wind speed, air humidity, visibility, and the like at that time, in one embodiment of the present invention, illumination intensity and temperature are taken as representative factors, for example, information of illumination intensity S0 and temperature T0 of the photovoltaic module is collected, and the area of the photovoltaic module for experiment can be referred to its specification parameters and set as a 0.
At S102, the collected environmental parameter data is input into a photovoltaic database, and a voltage Um, a current Io, and a maximum power Pmax corresponding to S0 being equal to S and T0 being equal to T are found in the photovoltaic database, where the area of the photovoltaic module is linearly and positively correlated with the output power of the photovoltaic module, and therefore, the output power may be denoted as a0 being equal to kA (k is a coefficient) and the output maximum power may be denoted as kPmax (k is a coefficient).
At S103, the photovoltaic system including the photovoltaic module is maintained to operate at the maximum power point.
After the maximum power point of the photovoltaic module is tracked in step S104, because the photovoltaic module may have a shelter, the sun is blocked, and other factors, experimental environment factors S0 and T0 are collected in real time, and once the factors change, the factors are input into the database matching data again, that is, the data collected in real time are input into the photovoltaic database, and the relevant data in the photovoltaic database are updated in step S105, the operations in steps S101, S102, and S103 are executed again, and the voltages Um, Io, and Pmax corresponding to the photovoltaic module are output again, so that the optimization speed and the stability of the system are improved.
Fig. 2 is a block diagram of photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention. The input part is illumination intensity S0, temperature T0 and the like, and corresponding voltage Um, current Io and power Pmax are output after screening and matching of a database. According to one or more exemplary embodiments of the present invention, the environmental parameters input into the photovoltaic database may further include wind speed, air humidity, visibility, and various factors that may affect photovoltaic power generation.
Fig. 3 is a schematic structural diagram of a photovoltaic database according to an exemplary embodiment of the present invention. As shown in fig. 3, the photovoltaic database is designed by managing the relationship model between objects. The photovoltaic database 300 includes 5 constituent modules, which are a data integration module 301, a data storage module 302, a data preprocessing module 303, a data mining module 304, and a data application module 305. The data integration module 301 collects static data and dynamic signals of the photovoltaic module, wherein the static data is generally an environmental parameter data type collected by a sensor, and generally comprises illumination intensity, temperature and the like; the dynamic data is generally numerical variables corresponding to static variables at each moment, and generally includes voltage, current, power and the like; the data storage module 302 is used for storing the acquired data, MySQL is a relational data management system, and the cloud storage technology is simultaneously applied to a storage unit of the system; the data ETL (Extract-Transform-Load) is a process of extracting, converting and loading the transferred data from a source end, and the data processing module 303 transfers the data from the data ETL to a data warehouse for data preprocessing; the data mining module 304 classifies the data types, linearly fits the data and avoids storing the data with larger fluctuation; the data application module 305 outputs the database in the form of a graph (in the case of less data), as shown in fig. 4, may input a certain illumination intensity and temperature, perform data matching, search for a corresponding voltage, current, and power in the photovoltaic library, and may serve as an MPP for the photovoltaic module to operate. In fig. 4, the graph data output by the data application module 305 is a matrix with the experimental temperature, the illumination intensity as input and the photovoltaic module operating voltage, operating current and maximum power point as output. In fig. 4, T represents the experimental temperature, S represents the illumination intensity, and Um, Io, Pmax are the photovoltaic outputs under the corresponding conditions, i.e., MPP.
According to one or more embodiments of the present invention, firstly, during the design of the photovoltaic database, a fixed location and a fixed area of the photovoltaic module are selected, and the illumination intensity, temperature (other variables, humidity, visibility, etc.) and corresponding voltage, current and power at various time points in the year are monitored, and the process is a data collection process; storing the acquired data by data storage, wherein MySQL is a relational data management system, and the cloud storage technology is simultaneously applied to a storage unit of the system; the ETL (Extract-Transform-Load) is used for transferring the transferred data from a source end to a data warehouse through the processes of extraction, conversion and loading, and can be used for data preprocessing; data mining can be understood as classifying data types, and linearly fitting the data to avoid storing data with large fluctuation; the data application is to output the database in a graph form (in the case of less data), as shown in fig. 4, but because the stored data is too much, the photovoltaic database generally performs data matching through a processing module (or a processor), so that a faster tracking speed and a higher tracking accuracy can be obtained at the same time, and the method is simple and easy to implement.
According to one or more embodiments of the invention, when the database is applied to a photovoltaic system comprising photovoltaic modules, the sensor senses experimental environment parameters at the first time, the illumination intensity and the temperature are input into the database, and the corresponding output voltage, current and power are obtained through data matching of the system, wherein the point can be used as a photovoltaic maximum power point, and the system is supposed to keep running in the state, so that the efficiency is improved. However, since the photovoltaic module may be blocked, and the occurrence of unexpected situations such as sunlight blocking may cause the MPP to change, causing the system to fluctuate, two situations need to be considered: 1. updating the data of the illumination intensity and the temperature of the sensor in real time, and quickly positioning a new MPP by the processing module or the processor again; 2. when the photovoltaic module is shielded, since the output voltage, current and power are linearly related to the area of the photovoltaic module, the formula can be used to obtain: and k is the area after shielding/the original area, the output voltage, the current and the power correspond to kUm, kIo and kPmax, and the photovoltaic module can be processed by the formula in the same way when the area of the photovoltaic module is increased. Finally, under the condition of updating input data in real time, the system comprising the optical assembly works at the maximum photovoltaic power point quickly and stably, and the voltage and the current corresponding to the point are used as the input of the DC-DC circuit, so that the photovoltaic system comprising the photovoltaic assembly operates stably and supplies power to a load effectively.
Fig. 5 is a block diagram of an apparatus for photovoltaic maximum power tracking control according to an exemplary embodiment of the present invention. As shown in the figure, the apparatus 500 for tracking and controlling the maximum photovoltaic power includes an acquisition module 501, a photovoltaic database 300 and a controller 502, where the acquisition module 501 is configured to acquire environmental parameters affecting the operation of a photovoltaic module from environmental data through a sensor; the photovoltaic database 300 functions as shown in fig. 3, and receives the collected environmental parameters, and performs data matching in the photovoltaic database according to the environmental parameters to obtain the operating parameters and the maximum power point of the photovoltaic module. And a controller 502 for keeping the photovoltaic module operating at the obtained operating parameters and the maximum power point. The photovoltaic database module 300 comprises a data acquisition module 301 for acquiring static data and dynamic information of the photovoltaic module, wherein the static data is a data type of an environmental parameter acquired by the sensor, and the dynamic data is a numerical quantity corresponding to the static data at each moment, wherein the numerical quantity at least comprises working voltage, current and power of the photovoltaic module; the data storage module 302 is used for storing the data acquired by the data acquisition module; the ETL is used for extracting, converting and loading the stored data; the data preprocessing module 303 is used for sending the data output by the data ETL to a data warehouse for data preprocessing; the data mining module 304 classifies data types and linearly fits the data to avoid storing data with large fluctuation; and the data application module 305 outputs the data processed by the data mining module in a graph mode so as to facilitate searching and data matching according to the environment parameters. The graph data output by the data application module 305 is a matrix with the experimental temperature and the illumination intensity as input and the photovoltaic module working voltage, the working current and the maximum power point as output, and is specifically shown in fig. 4.
In fig. 5, a processing module 503 is further included, configured to perform fast matching on data in the photovoltaic database to improve the tracking speed and the tracking accuracy of the maximum power point. The processing module 503 may be a processor. When the environmental parameter change is caused by the fact that the photovoltaic module is shielded or the sun is shielded, the area of the photovoltaic module is in positive correlation with the working parameter and the maximum power point, wherein the parameter k of the positive correlation is the area of the shielded photovoltaic module/the original area of the shielded photovoltaic module.
There is also provided, in accordance with one or more embodiments of the present invention, a readable storage medium including instructions which, when executed, cause a machine to perform the method of photovoltaic maximum power tracking control of the present invention as described in fig. 1.
Specifically, in the present invention, specifically, the controller may be a microcontroller MCU in the present invention. In addition, the processing modules and controllers of the present invention may be such as, but not limited to, one or more single-core or multi-core processors. The processor(s) may include any combination of general-purpose processors and special-purpose processors (e.g., graphics processors, application processors, etc.). The processor may be coupled thereto and/or may include a memory/storage device and may be configured to execute instructions stored in the memory/storage device to implement various applications and/or operating systems running on the controller in accordance with the present invention.
The drawings referred to above and the detailed description of the invention, which are exemplary of the invention, serve to explain the invention without limiting the meaning or scope of the invention as described in the claims. Accordingly, modifications may be readily made by those skilled in the art from the foregoing description. Further, those skilled in the art may delete some of the constituent elements described herein without deteriorating the performance, or may add other constituent elements to improve the performance. Further, the order of the steps of the methods described herein may be varied by one skilled in the art depending on the environment of the process or apparatus. Therefore, the scope of the present invention should be determined not by the embodiments described above but by the claims and their equivalents.
While the invention has been described in connection with what is presently considered to be practical embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (15)
1. A method of photovoltaic maximum power tracking control, comprising:
collecting environmental parameters influencing the work of the photovoltaic module through a sensor;
inputting the collected environmental parameters into a photovoltaic database, and performing data matching in the photovoltaic database according to the environmental parameters to obtain working parameters and a maximum power point of the photovoltaic component; and
and keeping the photovoltaic module to work under the obtained working parameters and the maximum power point.
2. The method of claim 1, wherein the environmental parameters include at least illumination intensity and temperature, and the operating parameters include at least output voltage and current of the photovoltaic module.
3. The method of claim 1, wherein when the environmental parameters change in real time, the sensor inputs the changed environmental parameters into the photovoltaic database, and the photovoltaic database retrieves the operating parameters and the maximum power point of the photovoltaic module according to the changed environmental parameters and updates the related data in the database.
4. The method of claim 1, wherein the photovoltaic database comprises a data acquisition module for acquiring static data and dynamic information of the photovoltaic module, the static data is a data type of the environmental parameter acquired by the sensor, and the dynamic data is a numerical quantity corresponding to the static data at each moment, wherein the numerical quantity at least comprises a voltage, a current and a power of the photovoltaic module.
5. The method of claim 4, the photovoltaic database further comprising:
the data storage module is used for storing the data acquired by the data acquisition module;
the ETL is used for extracting, converting and loading the stored data;
the data preprocessing module is used for sending the data output by the ETL into a data warehouse for data preprocessing;
the data mining module classifies data types and linearly fits the data to avoid storing data with large fluctuation;
and the data application module outputs the data processed by the data mining module in a chart mode so as to search and match the data according to the environment parameters.
6. The method according to claim 2, wherein when the environmental parameter change is caused by a photovoltaic module being blocked or the sun being blocked, the area of the photovoltaic module is in a positive correlation with the operating parameter and the maximum power point, wherein the parameter k of the positive correlation is the area after the photovoltaic module is blocked/the original area of the photovoltaic module.
7. The method of claim 1, wherein data in the photovoltaic database is rapidly matched by a processing module to improve tracking speed and tracking accuracy of the maximum power point.
8. The method of claim 6, wherein the graphical data output by the data application module is a matrix with experimental temperature, illumination intensity as input, and photovoltaic module operating voltage, operating current, and maximum power point as output.
9. An apparatus for photovoltaic maximum power tracking control, comprising:
the acquisition module is used for acquiring environmental parameters influencing the work of the photovoltaic module through the sensor;
the photovoltaic database receives the acquired environmental parameters and performs data matching in the photovoltaic database according to the environmental parameters to acquire working parameters and a maximum power point of the photovoltaic assembly; and
and the controller keeps the photovoltaic assembly to work under the acquired working parameters and the maximum power point.
10. The apparatus of claim 9, the environmental parameters comprising at least illumination intensity and temperature, the operating parameters comprising output voltage and current of the photovoltaic module.
11. The device of claim 9, wherein when the environmental parameter changes in real time, the sensor inputs the changed environmental parameter into the photovoltaic database, and the photovoltaic database retrieves the operating parameter and the maximum power point of the photovoltaic module according to the changed environmental parameter and updates the related data in the database.
12. The apparatus of claim 9, the photovoltaic database comprising:
the data acquisition module is used for acquiring static data and dynamic information of the photovoltaic module, the static data is the data type of the environmental parameters acquired by the sensor, and the dynamic data is a numerical value corresponding to the static data at each moment, wherein the numerical value at least comprises the working voltage, the current and the power of the photovoltaic module;
the data storage module is used for storing the data acquired by the data acquisition module;
the ETL is used for extracting, converting and loading the stored data;
the data preprocessing module is used for sending the data output by the ETL into a data warehouse for data preprocessing;
the data mining module classifies data types and linearly fits the data to avoid storing the data with larger fluctuation;
and the data application module outputs the data processed by the data mining module in a chart mode so as to facilitate searching and data matching according to the environment parameters.
13. The device of claim 9, further comprising a processing module for fast matching data in the photovoltaic database to improve tracking speed and tracking accuracy of the maximum power point.
14. The device according to claim 11, wherein when the environmental parameter change is caused by the photovoltaic module being blocked or the sun being blocked, the area of the photovoltaic module is in positive correlation with the operating parameter and the maximum power point, wherein the parameter k of the positive correlation is the area of the photovoltaic module after being blocked/the original area of the photovoltaic module.
15. The apparatus of claim 12, wherein the graphical data output by the data application module is a matrix with experimental temperature, illumination intensity as input, and photovoltaic module operating voltage, operating current, and maximum power point as output.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114531113A (en) * | 2021-12-22 | 2022-05-24 | 中国航天空气动力技术研究院 | Comprehensive testing system for performance attenuation of flexible photovoltaic module |
| CN116540827A (en) * | 2023-04-21 | 2023-08-04 | 深圳市昔诺达科技有限公司 | Photovoltaic power generation maximum power point tracking method and device and electronic equipment |
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| CN116540827A (en) * | 2023-04-21 | 2023-08-04 | 深圳市昔诺达科技有限公司 | Photovoltaic power generation maximum power point tracking method and device and electronic equipment |
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