Photovoltaic power generation monitoring control system

Abstract

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic power generation monitoring control system, which comprises a data processing center, a real-time monitoring module, a photovoltaic power generation optimization module, a meteorological monitoring module, an energy storage equipment management module and a grid-connected management module, the data processing center is electrically connected with a real-time monitoring module, a photovoltaic power generation optimization module, a meteorological monitoring module, an energy storage equipment management module and a grid-connected management module; the real-time monitoring module is used for monitoring the photovoltaic module, the inverter and the energy storage equipment to obtain voltage, current and generating capacity parameters, and feeding back the parameters to the data processing center; the data processing center distributes the signals to the photovoltaic power generation optimization module, and the photovoltaic power generation optimization module optimizes the power generation process of the photovoltaic module; the meteorological monitoring module is used for detecting environmental meteorological parameters, and the energy storage equipment management module and the grid-connected management module are respectively used for managing energy storage equipment and grid connection.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and more specifically, to a photovoltaic power generation monitoring and control system. Background Art

[0002] Photovoltaic energy is a clean, renewable form of energy that does not produce greenhouse gases such as carbon dioxide and other pollutants. It is environmentally friendly and helps mitigate climate change and improve air quality. Solar energy is a rich energy resource that can be obtained worldwide and will not be exhausted, so it has great potential reserves. With the advancement of technology and the scale effect, the cost of photovoltaic power generation continues to decline, and has gradually approached or even fallen below the cost of traditional energy, making photovoltaic energy more competitive. The distributed nature of photovoltaic power generation systems can be built in various places, including roofs, open spaces, water surfaces, etc. It can meet the energy needs of different regions and places. Existing photovoltaic power generation components generally have monitoring equipment installed in their applications to display the power in real time for users to monitor, which requires manual viewing and the monitoring method is relatively backward. Summary of the invention

[0003] In order to overcome the deficiencies of the prior art, the present invention provides a photovoltaic power generation monitoring and control system, which has the advantage of more precise operation.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a photovoltaic power generation monitoring and control system, comprising: a data processing center, a real-time monitoring module, a photovoltaic power generation optimization module, a meteorological monitoring module, an energy storage device management module and a grid-connected management module, wherein the data processing center is electrically connected to the real-time monitoring module, the photovoltaic power generation optimization module, the meteorological monitoring module, the energy storage device management module and the grid-connected management module; the real-time monitoring module is used to obtain voltage, current and power generation parameters, and feed them back to the data processing center; the data processing center distributes signals to the photovoltaic power generation optimization module, and the photovoltaic power generation optimization module optimizes the power generation process of the photovoltaic module; the meteorological monitoring module is used to detect environmental meteorological parameters, and the energy storage device management module and the grid-connected management module are used for the management of energy storage equipment and grid-connected, respectively.

[0005] As a preferred technical solution of the present invention, the real-time monitoring module is provided with a power generation monitoring unit, a voltage monitoring unit, and a current monitoring unit. The power generation monitoring unit, the voltage monitoring unit, and the current monitoring unit are arranged in a matching manner, and monitor the photovoltaic components, the inverter, and the energy storage equipment respectively.

[0006] As a preferred technical solution of the present invention, the power generation monitoring unit, the voltage monitoring unit, and the current monitoring unit are respectively provided with a power generation monitoring circuit, a voltage sampling circuit, and a current sampling circuit, and the power generation monitoring circuit, the voltage sampling circuit, and the current sampling circuit are respectively connected to the circuits of the photovoltaic module, the inverter, and the energy storage device.

[0007] As a preferred technical solution of the present invention, the photovoltaic power generation optimization module is connected to a historical meteorological database and a historical power generation database, wherein the historical meteorological database stores the meteorological data of the area where the photovoltaic components are located for the past five years, and the historical power generation database stores the power generation data of the photovoltaic components for the past five years; the photovoltaic power generation optimization module is also provided with a data modeling module, and the data modeling module is connected to the optimization analysis module.

[0008] As a preferred technical solution of the present invention, the data modeling module builds a prediction model based on the data stored in the historical meteorological database and the historical power generation database, and uses the model to predict the power generation of the photovoltaic module through the optimization analysis module;

[0009] The specific process is as follows:

[0010] Get the historical meteorological data parameter Qx from the historical meteorological database i And the historical power generation data parameter Fd in the historical power generation database i , and according to the historical meteorological data parameter Qx i 、Historical power generation data parameter Fd i Get the meteorological-power generation parameter value QF. The calculation formula of QF is:

[0011]

[0012] Where i is the year of the record in the database, Fd o Fd is the historical power generation data parameter of the past years i The average value, Qx o Qx is the historical meteorological data parameter of the past years i The average value of

[0013] The calculation formula for the predicted power generation Yfd for the year is:

[0014] Yfd=α*QF*Qx1+c;

[0015] In the formula, α is the calibration value of the meteorological-power generation parameter value QF and the meteorological data parameter Qx1 of the year, Qx1 is the meteorological data parameter of the year, and c is the ratio value of the power generation Yfd of the year. The specific values ​​of α and c are set by the staff.

[0016] As a preferred technical solution of the present invention, the meteorological monitoring module is provided with a weather parameter detection unit, and the weather parameter detection unit is composed of several weather monitoring sensors, and the types of the weather monitoring sensors are not limited to environmental temperature, humidity and pressure sensors, wind speed sensors, wind direction sensors, rainfall sensors, photothermal horizontal solar total radiation sensors, and photothermal direct solar radiation sensors;

[0017] The meteorological data parameter Qx1 of the year is obtained through the weather parameter detection unit, and its specific calculation formula is:

[0018]

[0019] In the formula, j is a positive integer used to count different sensors, γ j They represent the calibration values ​​of different sensors, and their specific values ​​are set by the staff; Cg j Represents the parameter values ​​collected by different sensors.

[0020] As a preferred technical solution of the present invention, the data processing center is also connected to an on-site alarm module, and the on-site alarm module is provided with a buzzer and a flash alarm.

[0021] As a preferred technical solution of the present invention, the data processing center is connected to a cloud server, and the cloud server is connected to a remote management terminal through a network; the connection method between the data processing center and the cloud server includes but is not limited to wired connection, wireless connection, and Bluetooth connection.

[0022] As a preferred technical solution of the present invention, the energy storage device management module monitors the storage capacity of the energy storage device and disconnects the switch between the energy storage device and the photovoltaic module when the storage capacity is not less than %.

[0023] As a preferred technical solution of the present invention, the grid-connected management module is provided with a switch connecting the photovoltaic assembly to the mains grid. After the energy storage device management module disconnects the switch between the energy storage device and the photovoltaic assembly, the switch between the photovoltaic assembly and the mains grid is opened.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention is provided with a monitoring module, through which the photovoltaic components, inverters, and energy storage equipment are monitored, and the monitoring module is connected to a data processing center to perform intelligent and automatic processing of the monitoring process; photovoltaic power generation and smart grid technology are combined to provide support for the safety and stability of energy supply, ensuring the stability of the photovoltaic power generation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the structure of the present invention;

[0026] In the figure: 1. Data processing center; 2. Real-time monitoring module; 3. Photovoltaic power generation optimization module; 4. Meteorological monitoring module; 5. Energy storage equipment management module; 6. Grid management module; 7. On-site alarm module; 8. Cloud server; 9. Remote management terminal; 10. Power generation monitoring unit; 11. Voltage monitoring unit; 12. Current monitoring unit; 13. Historical meteorological database; 14. Historical power generation database; 15. Data modeling module; 16. Optimization analysis module; 17. Weather parameter detection unit. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] like Figure 1 As shown, the present invention provides a photovoltaic power generation monitoring and control system, including: a data processing center 1, a real-time monitoring module 2, a photovoltaic power generation optimization module 3, a meteorological monitoring module 4, an energy storage device management module 5 and a grid-connected management module 6, wherein the data processing center 1 is electrically connected to the real-time monitoring module 2, the photovoltaic power generation optimization module 3, the meteorological monitoring module 4, the energy storage device management module 5 and the grid-connected management module 6; the real-time monitoring module 2 is used to obtain voltage, current and power generation parameters, and feed them back to the data processing center 1; the data processing center 1 distributes signals to the photovoltaic power generation optimization module 3, and the photovoltaic power generation optimization module 3 optimizes the power generation process of the photovoltaic module; the meteorological monitoring module 4 is used to detect environmental meteorological parameters, and the energy storage device management module 5 and the grid-connected management module 6 are respectively used for the management of energy storage equipment and grid connection.

[0029] Among them, the real-time monitoring module 2 is provided with a power generation monitoring unit 10, a voltage monitoring unit 11, and a current monitoring unit 12. The power generation monitoring unit 10, the voltage monitoring unit 11, and the current monitoring unit 12 are arranged in a matching manner, and monitor the photovoltaic components, the inverter, and the energy storage device respectively. The power generation monitoring unit 10, the voltage monitoring unit 11, and the current monitoring unit 12 are respectively provided with a power generation monitoring circuit, a voltage sampling circuit, and a current sampling circuit, and the power generation monitoring circuit, the voltage sampling circuit, and the current sampling circuit are respectively connected to the circuits of the photovoltaic components, the inverter, and the energy storage device. Through a single monitoring unit, the corresponding circuit is connected to the photovoltaic components, the inverter, and the energy storage device that need to be monitored, wherein the photovoltaic components correspond to the power generation process, the inverter corresponds to the electric energy conversion process, and the energy storage device corresponds to the power storage process, so that the entire photovoltaic system can be monitored to ensure the integrity of the data.

[0030] The photovoltaic power generation optimization module 3 is connected to a historical meteorological database 13 and a historical power generation database 14, wherein the historical meteorological database 13 stores the meteorological data of the region where the photovoltaic module is located in the past five years, and the historical power generation database 14 stores the power generation data of the photovoltaic module in the past five years; the photovoltaic power generation optimization module 3 is also provided with a data modeling module 15, and the data modeling module 15 is connected to an optimization analysis module 16. The data modeling module 15 builds a prediction model based on the data stored in the historical meteorological database 13 and the historical power generation database 14, and uses the model to predict the power generation of the photovoltaic module through the optimization analysis module 16.

[0031] The specific process is as follows:

[0032] Get the historical meteorological data parameter Qx in the historical meteorological database 13 i and the historical power generation data parameter Fd in the historical power generation database 14 i , and according to the historical meteorological data parameter Qx i 、Historical power generation data parameter Fd i Get the meteorological-power generation parameter value QF. The calculation formula of QF is:

[0033]

[0034] Where i is the year of the record in the database, Fd o Fd is the historical power generation data parameter of the past years i The average value, Qx o Qx is the historical meteorological data parameter of the past years i The average value of

[0035] The calculation formula for the predicted power generation Yfd for the year is:

[0036] Yfd=α*QF*Qx1+c;

[0037] In the formula, α is the calibration value of the meteorological-power generation parameter value QF and the meteorological data parameter Qx1 of the year, Qx1 is the meteorological data parameter of the year, and c is the ratio value of the power generation Yfd of the year. The specific values ​​of α and c are set by the staff.

[0038] Among them, the meteorological monitoring module 4 is provided with a weather parameter detection unit 17, and the weather parameter detection unit 17 is composed of several weather monitoring sensors, and the types of the weather monitoring sensors include but are not limited to environmental temperature, humidity and pressure sensors, wind speed sensors, wind direction sensors, rainfall sensors, photothermal horizontal solar total radiation sensors, and photothermal direct solar radiation sensors; the meteorological conditions are acquired through the weather parameter detection unit 17, so as to facilitate storage in the historical meteorological database 13, which is convenient for subsequent model building.

[0039] The meteorological data parameter Qx1 of the year is obtained through the weather parameter detection unit 17, and its specific calculation formula is:

[0040]

[0041] In the formula, j is a positive integer used to count different sensors, γ j They represent the calibration values ​​of different sensors, and their specific values ​​are set by the staff; Cg j Represents the parameter values ​​collected by different sensors.

[0042] The data processing center 1 is also connected to an on-site alarm module 7, which is provided with a buzzer and a flash alarm, so as to alert the staff to take emergency measures when a fault occurs.

[0043] The data processing center 1 is connected to a cloud server 8, and the cloud server 8 is connected to a remote management terminal 9 through a network; the connection between the data processing center 1 and the cloud server 8 includes but is not limited to a wired connection, a wireless connection, and a Bluetooth connection, which facilitates remote processing by staff and simplifies the management process.

[0044] Among them, the energy storage device management module 5 monitors the amount of storage in the energy storage device, and disconnects the switch between the energy storage device and the photovoltaic module when the amount of storage is not less than 90%. The grid-connected management module 6 is provided with a switch for connecting the photovoltaic module to the city grid. After the energy storage device management module 5 disconnects the switch between the energy storage device and the photovoltaic module, the switch between the photovoltaic module and the city grid is turned on. The energy storage device management module 5 and the grid-connected management module 6 cooperate with each other to power the energy storage device first, and the excess power is used to power the city grid to avoid power waste.

[0045] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0046] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A photovoltaic power generation monitoring and control system, characterized in that: The invention comprises: a data processing center (1), a real-time monitoring module (2), a photovoltaic power generation optimization module (3), a meteorological monitoring module (4), an energy storage device management module (5) and a grid connection management module (6); the data processing center (1) is electrically connected to the real-time monitoring module (2), the photovoltaic power generation optimization module (3), the meteorological monitoring module (4), the energy storage device management module (5) and the grid connection management module (6); the real-time monitoring module (2) is used to obtain voltage, current and power generation parameters, and feed them back to the data processing center (1); the data processing center (1) distributes signals to the photovoltaic power generation optimization module (3), and the photovoltaic power generation optimization module (3) optimizes the power generation process of the photovoltaic module; the meteorological monitoring module (4) is used to detect environmental meteorological parameters, and the energy storage device management module (5) and the grid connection management module (6) are used to manage the energy storage device and the grid connection respectively.

2. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The real-time monitoring module (2) is provided with a power generation monitoring unit (10), a voltage monitoring unit (11), and a current monitoring unit (12); the power generation monitoring unit (10), the voltage monitoring unit (11), and the current monitoring unit (12) are arranged in a matching manner and monitor the photovoltaic module, the inverter, and the energy storage device respectively.

3. A photovoltaic power generation monitoring and control system according to claim 2, characterized in that: The power generation monitoring unit (10), the voltage monitoring unit (11), and the current monitoring unit (12) are respectively provided with a power generation monitoring circuit, a voltage sampling circuit, and a current sampling circuit, and the power generation monitoring circuit, the voltage sampling circuit, and the current sampling circuit are respectively connected to the circuits of the photovoltaic component, the inverter, and the energy storage device.

4. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The photovoltaic power generation optimization module (3) is connected to a historical meteorological database (13) and a historical power generation database (14), wherein the historical meteorological database (13) stores meteorological data of the region where the photovoltaic components are located in the past five years, and the historical power generation database (14) stores power generation data of the photovoltaic components in the past five years; the photovoltaic power generation optimization module (3) is also provided with a data modeling module (15), and the data modeling module (15) is connected to the optimization analysis module (16).

5. A photovoltaic power generation monitoring and control system according to claim 4, characterized in that: The data modeling module (15) builds a prediction model based on the data stored in the historical meteorological database (13) and the historical power generation database (14), and uses the model to predict the power generation of the photovoltaic module through the optimization analysis module (16); The specific process is as follows: Get the historical meteorological data parameter Qx in the historical meteorological database (13) i and the historical power generation data parameter Fd in the historical power generation database (14) i , and according to the historical meteorological data parameter Qx i 、Historical power generation data parameter Fd i Get the meteorological-power generation parameter value QF. The calculation formula of QF is: Where i is the year of the record in the database, Fd o Fd is the historical power generation data parameter of the past years i The average value, Qx o Qx is the historical meteorological data parameter of the past years i The average value of The calculation formula for the predicted power generation Yfd for the year is: Yfd=α*QF*Qx1+c; In the formula, α is the calibration value of the meteorological-power generation parameter value QF and the meteorological data parameter Qx1 of the year, Qx1 is the meteorological data parameter of the year, and c is the ratio value of the power generation Yfd of the year. The specific values ​​of α and c are set by the staff.

6. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The meteorological monitoring module (4) is provided with a weather parameter detection unit (17), and the weather parameter detection unit (17) is composed of several types of weather monitoring sensors, and the types of the weather monitoring sensors include but are not limited to environmental temperature, humidity and pressure sensors, wind speed sensors, wind direction sensors, rainfall sensors, photothermal horizontal solar total radiation sensors, and photothermal direct solar radiation sensors; The meteorological data parameter Qx1 of the current year is obtained through the weather parameter detection unit (17), and its specific calculation formula is: In the formula, j is a positive integer used to count different sensors, γ j They represent the calibration values ​​of different sensors, and their specific values ​​are set by the staff; Cg j Represents the parameter values ​​collected by different sensors.

7. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The data processing center (1) is also connected to an on-site alarm module (7), and the on-site alarm module (7) is provided with a buzzer and a flash alarm.

8. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The data processing center (1) is connected to a cloud server (8), and the cloud server (8) is connected to a remote management terminal (9) via a network; the connection method between the data processing center (1) and the cloud server (8) includes but is not limited to a wired connection, a wireless connection, and a Bluetooth connection.

9. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The energy storage device management module (5) monitors the amount of power stored in the energy storage device, and disconnects the switch between the energy storage device and the photovoltaic module when the amount of power stored is not less than 90%.

10. A photovoltaic power generation monitoring and control system according to claim 1, characterized in that: The grid connection management module (6) is provided with a switch for connecting the photovoltaic assembly to the city grid. After the energy storage device management module (5) disconnects the switch between the energy storage device and the photovoltaic assembly, the switch between the photovoltaic assembly and the city grid is turned on.

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