Real-time monitoring device based on 5G distributed photovoltaic grid connection

Through the real-time monitoring device of 5G distributed photovoltaic grid-connected photovoltaic power stations, the environmental and power data of photovoltaic power stations are collected and transmitted, and remote control and power generation power regulation are realized, the difficulties of photovoltaic power station data collection and power scheduling in the existing technology are solved. Realize real-time control of secure data transmission and power scheduling.

CN119496294APending Publication Date: 2025-02-21SHANGLUO POWER SUPPLY CO OF STATE GRID SHAANXI ELECTRIC POWER CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411653352.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-19
Publication Date
2025-02-21

AI Technical Summary

Technical Problem

The existing technology is difficult to realize real-time data acquisition and power scheduling of photovoltaic power stations. The construction of traditional fiber channel construction plans is difficult and cannot meet project needs. The existing wireless data transmission products are huge in size and lack secure encryption devices, so they cannot control power generation and regulation in real time. Power generation power.

Method used

The real-time monitoring device for grid-connected photovoltaics is adopted based on 5G distributed photovoltaic grid-connected power stations through the data acquisition module, and the data is encrypted and processed by encrypting the data, and transmitting data to the scheduling backend through the 5G wireless private network. Realize remote control and power regulation of photovoltaic power stations.

Benefits of technology

Real-time monitoring of the weather and environmental conditions around the photovoltaic power station is realized, ensuring the safe transmission of data and real-time control of power scheduling, reducing the difficulty of installation and construction and investment costs, and improving the safety and reliability of the system.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119496294A_ABST
    Figure CN119496294A_ABST
Patent Text Reader

Abstract

The invention discloses a distributed photovoltaic grid-connected real-time monitoring device based on 5G, and relates to the field of grid-connected monitoring. A data processing module; an encryption machine; a wireless communication gateway; the data acquisition module acquires data of the surrounding environment of the photovoltaic power station and then sends the data to the encryption machine for encryption processing through the data processing module, and the encrypted data is sent to the scheduling host through the wireless communication gateway; 5G wireless transmission is adopted, data can be transmitted through 4G and 3G in places without 5G signals, and compared with an optical fiber scheme, the installation and construction difficulty is greatly reduced, and the investment cost is reduced; and the virtual private network is adopted for communication, and meanwhile, the miniature encryption machine is used for encryption and decryption, so that the data security is ensured.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of grid-connected monitoring technology, and in particular to a 5G-based distributed photovoltaic grid-connected real-time monitoring device. Background Art

[0002] Since 10 kV and 35 kV "T"-connected photovoltaic power stations are mostly located in remote areas, it is difficult to build a comprehensive data network, and real-time collection of photovoltaic data cannot be achieved, and power dispatchers cannot grasp their operating information.

[0003] The access of distributed power sources to the grid will have certain impacts on node voltage, power quality, system protection, reliability, short-circuit current, etc. It is necessary to quantitatively study the impact of its access to the grid on the power system in order to propose methods to eliminate various adverse effects. Real-time monitoring of the voltage, active power, reactive power, relative power and other parameters of key points when distributed power sources are connected to the grid has important engineering practical significance for mastering the actual static and dynamic behavior of the power grid and guiding the safe and economic operation of the power grid.

[0004] Traditional fiber optic channel construction solutions are difficult to construct, have a tight construction schedule, and have high investment costs, and cannot meet project requirements.

[0005] Existing wireless data transmission products are bulky, have no security encryption devices, and can only simply read meter data. They cannot assist the dispatching department in understanding the weather and environmental conditions of the photovoltaic power station, nor can they control power generation and adjust power generation in real time.

[0006] In summary, an integrated product is needed that can assist the dispatching department to understand the weather and environmental conditions around the photovoltaic power station, and at the same time can safely transmit power generation data and grid-connected power data, safely control photovoltaic power generation, and safely adjust the power generation of the photovoltaic power station;

[0007] To this end, we provide a 5G-based distributed photovoltaic grid-connected real-time monitoring device to solve the above problems. Summary of the invention

[0008] In response to the problems existing in the above-mentioned prior art, the present invention provides a real-time monitoring device for distributed photovoltaic grid-connected photovoltaic power stations based on 5G. After encrypting the weather, environment, and grid-connected power data around the photovoltaic power station, the data is transmitted to the scheduling background through the 5G wireless private network. The scheduling background can control photovoltaic power generation and safely adjust the power generation power of the photovoltaic power station.

[0009] In order to achieve the above purpose, the present invention adopts a 5G-based distributed photovoltaic grid-connected real-time monitoring device, comprising:

[0010] Data acquisition module, which is connected with temperature sensor, humidity sensor, light sensor, wind speed sensor, wind direction sensor, grid-connected electric meter and box-type transformer data acquisition instrument to realize data transmission;

[0011] Data processing module, responsible for data storage, data processing, data monitoring, and data output;

[0012] The encryption machine is responsible for encrypting the output data and decrypting the input commands;

[0013] Wireless communication gateway, responsible for sending data through 5G signals and receiving commands from the dispatch host;

[0014] The data acquisition module collects the environmental data around the photovoltaic power station and sends the data to the encryption machine through the data processing module for encryption processing. The encrypted data is sent to the dispatch host through the wireless communication gateway.

[0015] As a further optimization of the above solution, the data acquisition module is connected to the temperature sensor, humidity sensor, light sensor, wind speed sensor, wind direction sensor, grid-connected electric meter, and box-type transformer data acquisition instrument through RS485 and RJ45.

[0016] As a further optimization of the above solution, the temperature sensor collects the ambient temperature of the photovoltaic power station;

[0017] The humidity sensor collects the humidity of the environment around the photovoltaic power station;

[0018] The light sensor collects light intensity around the photovoltaic power station;

[0019] The wind speed sensor collects the wind speed of the surrounding environment of the photovoltaic power station;

[0020] The wind direction sensor collects the wind direction of the surrounding environment of the photovoltaic power station;

[0021] The grid-connected electric meter collects the voltage, current, active power and reactive power of the photovoltaic station connected to the grid;

[0022] The box-type transformer data acquisition instrument collects the status, voltage, current, active power and reactive power parameters of the inverter connected to the box-type transformer in the photovoltaic station.

[0023] As a further optimization of the above solution, the number of the box-type transformer data acquisition instruments matches the number of inverters connected to the box-type transformer.

[0024] As a further optimization of the above solution, the switch actuator is used to control the opening and closing of the switch and output the switch state.

[0025] As a further optimization of the above solution, the wireless communication gateway uses 4G or 3G signals to send data when there is no 5G signal.

[0026] As a further optimization of the above scheme, after the wireless communication gateway is connected to the dispatching private network, it receives the command from the dispatching host and sends the command to the encryption machine. The encryption machine decrypts the command and sends it to the data processing module. After receiving the command, the data processing module synchronizes with the dispatching host, responds to the dispatching general call, and collects data from the temperature sensor, humidity sensor, light sensor, wind speed sensor, wind direction sensor, grid-connected electric meter, and box transformer data acquisition instrument through the data acquisition module, and sends the collected temperature, humidity, light intensity, wind speed, wind direction, grid-connected voltage, grid-connected current, grid-connected active power, grid-connected reactive power, power generation voltage, power generation current, power generation active power, reactive power, and switch status to the dispatching master station;

[0027] The dispatching master station sends remote control and remote adjustment commands, and the data processing module sends commands to the box-type transformer data acquisition instrument and the switch actuator through the RS485 and RJ45 interfaces, controls the switching of the inverter and the electric power regulation through the box-type transformer data acquisition instrument, and controls the switch state through the switch actuator.

[0028] As a further optimization of the above solution, temperature sensors, humidity sensors, light sensors, wind speed sensors, wind direction sensors, grid-connected electricity meters, box-type transformer data acquisition instruments, switch actuators, data acquisition modules, data processing modules, encryption machines, and wireless communication networks are integrated into one to form a sensor group.

[0029] As a further optimization of the above solution, the sensor group is arranged around the photovoltaic field.

[0030] As a further optimization of the above scheme, the encryption method of the encryption machine includes the following steps:

[0031] S1: receiving encryption requirements and data to be encrypted;

[0032] S2: storing the data to be encrypted;

[0033] S3: according to the encryption requirement, encrypt the data to be encrypted to form encrypted data, and encrypt the encryption requirement to form an encryption requirement to be decrypted;

[0034] S4: Send the encryption requirements and encrypted data to be decrypted to the scheduling host;

[0035] S5: Use facial recognition technology to authorize relevant personnel so that they can decrypt the encryption requirements to be decrypted through facial recognition, so that the relevant personnel on the scheduling host side obtain the encryption requirements, and the relevant personnel temporarily program the corresponding decryption key according to the encryption requirements, thereby using the temporarily programmed decryption key to decrypt the encrypted data.

[0036] The present invention provides a 5G-based distributed photovoltaic grid-connected real-time monitoring device, which has the following beneficial effects:

[0037] The 5G distributed photovoltaic grid-connected real-time monitoring device of the present invention adopts 5G wireless transmission. In places where there is no 5G signal, data can be transmitted through 4G and 3G. Compared with the optical fiber solution, the difficulty of installation and construction is greatly reduced, and the investment cost is reduced;

[0038] The present invention is a 5G distributed photovoltaic grid-connected real-time monitoring device, which uses a virtual private network for communication and a micro encryption machine for encryption and decryption, thereby ensuring the security of the data.

[0039] The 5G distributed photovoltaic grid-connected real-time monitoring device of the present invention collects grid-connected power data, power generation data, and temperature, humidity, illuminance, wind speed, and wind direction data around the photovoltaic power station, so that the dispatching department can grasp the on-site conditions of the photovoltaic power station in real time, grasp the static and dynamic behaviors of the photovoltaic power station, and accurately issue dispatching instructions;

[0040] The present invention is a 5G-based distributed photovoltaic grid-connected real-time monitoring device. By sending commands to the data acquisition instrument and the switch actuator, the dispatching host can remotely control the photovoltaic power station and remotely adjust the power generation of the photovoltaic power station according to the on-site weather.

[0041] The present invention utilizes a decryption key corresponding to temporary programming and combines it with a method of obtaining encryption requirements by face recognition, replacing the existing fixed decryption and encryption method. The decryption and encryption method may be different each time, reducing the risk of data leakage.

[0042] With reference to the following description and drawings, a specific embodiment of the present invention is disclosed in detail, indicating the manner in which the principles of the present invention can be adopted. It should be understood that the scope of the embodiments of the present invention is not limited thereby, and within the spirit and scope of the appended claims, the embodiments of the present invention include many changes, modifications and equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a structural schematic diagram of the 5G distributed photovoltaic grid-connected real-time monitoring device of the present invention;

[0044] Figure 2 It is a structural schematic diagram of a data acquisition module of the present invention;

[0045] Figure 3 This is a schematic diagram of the distributed structure of the 5G distributed photovoltaic grid-connected real-time monitoring device of the present invention;

[0046] Figure 4 The figure is a flow chart of the encryption method of the present invention.

[0047] In the figure: 1. Data acquisition module; 11. Temperature sensor; 12. Humidity sensor; 13. Light sensor; 14. Wind speed sensor; 15. Wind direction sensor; 16. Grid-connected electric meter; 17. Box transformer data acquisition instrument; 101. Switch actuator; 111. Sensor group; 222. Photovoltaic field; 2. Data processing module; 3. Encryption machine; 4. Wireless communication gateway. DETAILED DESCRIPTION

[0048] Please refer to the instruction manual Figure 1-4 The present invention provides a technical solution: a 5G distributed photovoltaic grid-connected real-time monitoring device, comprising: a temperature sensor 11, a humidity sensor 12, a light sensor 13, a wind speed sensor 14, a wind direction sensor 15, a grid-connected electric meter 16, a box transformer data acquisition instrument 17, a switch actuator 101, a data acquisition module 1, a data processing module 2, an encryption machine 3, and a wireless communication gateway 4.

[0049] The temperature sensor 11 collects the ambient temperature of the photovoltaic power station;

[0050] The humidity sensor 12 collects the humidity of the surrounding environment of the photovoltaic power station;

[0051] The light sensor 13 collects the light intensity around the photovoltaic power station;

[0052] The wind speed sensor 14 collects the wind speed of the surrounding environment of the photovoltaic power station;

[0053] The wind direction sensor 15 collects the wind direction of the surrounding environment of the photovoltaic power station;

[0054] The grid-connected electric meter 16 collects the voltage, current, active power, reactive power, etc. of the photovoltaic station grid-connected;

[0055] The box-type transformer data acquisition instrument 17 collects the status, voltage, current, active power, reactive power and other parameters of the inverter connected to the box-type transformer in the photovoltaic station;

[0056] The number of the box-type transformer data acquisition instruments 17 is determined according to the number of inverters connected to the box-type transformer. For example, if there is an inverter connected to a No. 1 box-type transformer and an inverter connected to a No. 2 box-type transformer, a No. 1 box-type transformer data acquisition instrument and a No. 2 box-type transformer data acquisition instrument are respectively provided.

[0057] The No. 1 box transformer data acquisition instrument collects the status, voltage, current, active power, reactive power and other parameters of the inverter connected to the No. 1 box transformer in the photovoltaic station;

[0058] The No. 2 box transformer data acquisition instrument collects the status, voltage, current, active power, reactive power and other parameters of the inverter connected to the No. 2 box transformer in the photovoltaic station;

[0059] Switch actuator 101: used to control the opening and closing of the switch and output the switch status;

[0060] Data acquisition module 1: connects the temperature sensor 11, humidity sensor 12, light sensor 13, wind speed sensor 14, wind direction sensor 15, grid-connected electric meter 16, and box-type transformer data acquisition instrument 17 through RS485, RJ45, etc. to realize data transmission;

[0061] Data processing module 2: responsible for data storage, data processing, data monitoring, and data output;

[0062] Encryption machine 3: responsible for encrypting output data, decrypting input commands, etc.;

[0063] Wireless communication gateway 4: responsible for sending data through 5G signals, receiving scheduling host commands, etc. If there is no 5G signal, the data will be sent using 4G or 3G signals.

[0064] After the wireless communication gateway 4 is connected to the dispatching private network, it receives the command from the dispatching host and sends the command to the encryption machine 3. The encryption machine 3 decrypts the command and sends it to the data processing module 2. After receiving the command, the data processing module 2 synchronizes with the dispatching host and responds to the dispatching general call. The data of the temperature sensor 11, humidity sensor 12, light sensor 13, wind speed sensor 14, wind direction sensor 15, grid-connected electric meter 16, and box transformer digital acquisition instrument 17 are collected through the data acquisition module 1, and the collected temperature, humidity, light intensity, wind speed, wind direction, grid-connected voltage, grid-connected current, grid-connected active power, grid-connected reactive power, power generation voltage, power generation current, power generation active power, reactive power, switch status, etc. are sent to the dispatching main station; the dispatching main station sends remote control and remote adjustment commands, and the data processing module 2 sends commands to the box transformer digital acquisition instrument 17 and the switch actuator 101 through the RS485 and RJ45 interfaces, controls the switch of the inverter and the electric power regulation through the box transformer digital acquisition instrument 17, and controls the switch status through the switch actuator 101.

[0065] In the present invention, the grid-connected power data, the generated power data, the meteorological data and the environmental data are collected by the data collection module 1; the data collection module 1, the data processing module 2, the encryption machine 3 and the wireless communication gateway 4 are integrated together to reduce the size of the device; the control box variable data collection instrument 17 and the switch actuator 101 are adopted to realize the remote control of the photovoltaic power station by the dispatching host and the remote adjustment of the generated power of the photovoltaic power station.

[0066] The 5G distributed photovoltaic grid-connected real-time monitoring device in the present invention integrates a temperature sensor 11, a humidity sensor 12, a light sensor 13, a wind speed sensor 14, a wind direction sensor 15, a grid-connected electric meter 16, a box-type transformer data acquisition instrument 17, a switch actuator 101, a data acquisition module 1, a data processing module 2, an encryption machine 3, and a wireless communication gateway 4 to form a sensor group 111. The sensor group 111 is arranged around the photovoltaic field 222, which is convenient to arrange, has a small overall volume, and will not interfere with the photovoltaic field 222.

[0067] The encryption machine 3 includes an encryption chip, an input interface, an output interface, a liquid crystal display and a control unit. When encrypting, the data to be encrypted is first input into the encryption machine through the input interface, and then converted into ciphertext through the encryption algorithm coordinated with the encryption chip, and then sent to the scheduling host through the output interface. The scheduling host uses the key to decrypt the ciphertext to obtain the original data.

[0068] Encryption technology is constantly improving, and the technology of encryption machines also needs to be constantly updated to cope with new security threats. Therefore, the encryption machine 3 in the present invention also uses the following encryption method to encrypt the original data to increase the security of the data.

[0069] Encryption method:

[0070] Step 1: Receive encryption requirements and data to be encrypted;

[0071] Step 2: Store the data to be encrypted;

[0072] Step 3: According to the encryption requirements, the data to be encrypted is encrypted to form encrypted data, and the encryption requirements are encrypted to form encryption requirements to be decrypted;

[0073] Step 4: Send the encryption requirements and encrypted data to be decrypted to the dispatch host;

[0074] Step 5: Use facial recognition technology to authorize relevant personnel so that they can decrypt the encryption requirements to be decrypted through facial recognition, so that the relevant personnel on the scheduling host side obtain the encryption requirements, and the relevant personnel temporarily program the corresponding decryption key according to the encryption requirements, thereby using the temporarily programmed decryption key to decrypt the encrypted data.

[0075] The present invention utilizes a decryption key corresponding to temporary programming and combines it with a method of obtaining encryption requirements by face recognition, replacing the existing fixed decryption and encryption method. The decryption and encryption method may be different each time, reducing the risk of data leakage.

Claims

1. A 5G-based distributed photovoltaic grid-connected real-time monitoring device, characterized in that: include: A data acquisition module (1), wherein the data acquisition module (1) is connected to a temperature sensor (11), a humidity sensor (12), a light sensor (13), a wind speed sensor (14), a wind direction sensor (15), a grid-connected electric meter (16), and a box-type transformer data acquisition instrument (17) to realize data transmission; Data processing module (2), responsible for data storage, data processing, data monitoring, and data output; The encryption machine (3) is responsible for encrypting the output data and decrypting the input commands; Wireless communication gateway (4), responsible for sending data through 5G signals and receiving dispatch host commands; After the data acquisition module (1) acquires the environmental data around the photovoltaic power station, it sends the data to the encryption machine (3) through the data processing module (2) for encryption processing, and the encrypted data is sent to the dispatching host through the wireless communication gateway (4).

2. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: The data acquisition module (1) is connected to a temperature sensor (11), a humidity sensor (12), a light sensor (13), a wind speed sensor (14), a wind direction sensor (15), a grid-connected electric meter (16), and a box-type transformer data acquisition instrument (17) via RS485 and RJ45.

3. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: The temperature sensor (11) collects the ambient temperature of the photovoltaic power station; The humidity sensor (12) collects humidity of the environment surrounding the photovoltaic power station; The light sensor (13) collects light intensity around the photovoltaic power station; The wind speed sensor (14) collects the wind speed of the surrounding environment of the photovoltaic power station; The wind direction sensor (15) collects the wind direction of the surrounding environment of the photovoltaic power station; The grid-connected electric meter (16) collects the voltage, current, active power and reactive power of the photovoltaic station connected to the grid; The box-type transformer data acquisition instrument (17) acquires the status, voltage, current, active power and reactive power parameters of the inverter connected to the box-type transformer in the photovoltaic station.

4. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: The number of the box-type transformer data acquisition instruments (17) matches the number of inverters connected to the box-type transformer.

5. According to claim 1, a 5G distributed photovoltaic grid-connected real-time monitoring device is characterized in that: The switch actuator (101) is used to control the opening and closing of the switch and output the switch state.

6. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: The wireless communication gateway (4) uses 4G or 3G signals to send data when there is no 5G signal.

7. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: After the wireless communication gateway (4) is connected to the dispatching private network, it receives a command from the dispatching host and sends the command to the encryption machine (3). The encryption machine (3) decrypts the command and sends it to the data processing module (2). After receiving the command, the data processing module (2) synchronizes with the dispatching host, responds to the dispatching general call, and collects data from the temperature sensor (11), humidity sensor (12), light sensor (13), wind speed sensor (14), wind direction sensor (15), grid-connected electric meter (16), and box transformer data acquisition instrument (17) through the data acquisition module (1), and sends the collected temperature, humidity, light intensity, wind speed, wind direction, grid-connected voltage, grid-connected current, grid-connected active power, grid-connected reactive power, power generation voltage, power generation current, power generation active power, reactive power, and switch status to the dispatching main station; The dispatching master station sends remote control and remote adjustment commands, and the data processing module (2) sends commands to the box-type transformer data acquisition instrument (17) and the switch actuator (101) through the RS485 and RJ45 interfaces, controls the switching of the inverter and the electric power regulation through the box-type transformer data acquisition instrument (17), and controls the switch state through the switch actuator (101).

8. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: A temperature sensor (11), a humidity sensor (12), a light sensor (13), a wind speed sensor (14), a wind direction sensor (15), a grid-connected electric meter (16), a box-type transformer data acquisition instrument (17), a switch actuator (101), a data acquisition module (1), a data processing module (2), an encryption machine (3), and a wireless communication gateway (4) are integrated into one body to form a sensor group (111).

9. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 8, characterized in that: The sensor group (111) is arranged around the photovoltaic field (222).

10. A 5G-based distributed photovoltaic grid-connected real-time monitoring device according to claim 1, characterized in that: The encryption method of the encryption machine (3) comprises the following steps: S1: receiving encryption requirements and data to be encrypted; S2: storing the data to be encrypted; S3: according to the encryption requirement, encrypt the data to be encrypted to form encrypted data, and encrypt the encryption requirement to form an encryption requirement to be decrypted; S4: Send the encryption requirements and encrypted data to be decrypted to the scheduling host; S5: Use facial recognition technology to authorize relevant personnel so that they can decrypt the encryption requirements to be decrypted through facial recognition, so that the relevant personnel on the scheduling host side obtain the encryption requirements, and the relevant personnel temporarily program the corresponding decryption key according to the encryption requirements, thereby using the temporarily programmed decryption key to decrypt the encrypted data.