Method and system for zero feed-in control of micro inverter monitoring gateway, and medium

Abstract

The present application relates to a method and system for zero feed-in control of a micro inverter monitoring gateway, and a medium. The method comprises: collecting a real-time electric energy value, productivity data and an electricity load value; determining a real-time output power control value by means of the real-time electric energy value and a preset electric energy set value; determining a real-time output power value by means of the real-time output power control value and the productivity data; and adjusting the output of a corresponding micro inverter by means of the real-time output power control value, so that the sum of real-time output power values is not greater than the electricity load value. The present application has the effect of realizing zero feed-in control.

Description

A method, system and medium for controlling a micro-inverter monitoring gateway in a zero-feedback network Technical Field

[0001] The present application relates to the field of photovoltaic power generation, and in particular to a method, system and medium for controlling a micro-inverter monitoring gateway in a zero-feedback network. Background Art

[0002] Due to the cleanliness and renewable nature of solar energy, photovoltaic power generation technology has rapidly developed. Connecting the electricity generated by photovoltaic cells to the grid is a highly efficient and cost-effective way to utilize it. Under the same photovoltaic cells and weather conditions, grid-connecting microinverters maximizes the output power of photovoltaic cells. As a network interconnection device that enables data transmission, the monitoring gateway, after configuring the on-site equipment information and communication network of the photovoltaic power station, can collect operating information from each microinverter and forward it to the relevant monitoring platform. Users can view the operating status of the photovoltaic power station and remotely control the station through the web platform and app.

[0003] Traditional micro-inverter monitoring gateways only upload micro-inverter data to cloud platforms, enabling cloud-based monitoring of the micro-inverters. However, they are unable to make local, real-time adjustments to the micro-inverter's power generation based on on-site power generation conditions. Micro-PV inverters continuously transmit power to the grid. Under light load conditions, this can result in excessive power being fed into the grid, violating anti-backflow regulations in some countries and regions. Summary of the Invention

[0004] In order to improve the problem of difficult control of grid-connected input of photovoltaic power generation micro-inverters, the present application provides a method, system and medium for controlling a micro-inverter monitoring gateway in a zero-feedback network.

[0005] This application provides a method for controlling a micro-inverter monitoring gateway in a zero-feedback network, which adopts the following technical solutions:

[0006] A method for controlling a micro-inverter monitoring gateway in a zero-feedback network, comprising:

[0007] Collect real-time electric energy values, production capacity data, and power load values;

[0008] Determining a real-time output power control value based on the real-time electric energy value and a preset electric energy setting value;

[0009] Determine the real-time output power value by using the real-time output power control value and the production capacity data;

[0010] The outputs of the corresponding micro-inverters are adjusted by the real-time output power control values ​​so that the sum of the real-time output power values ​​is not greater than the power load value.

[0011] By adopting the above technical solution, the real-time output power value of the micro-inverter is automatically adjusted in real time, so that the real-time electric energy value is controlled within the range of the electric energy set value, reducing the probability of excessive electricity being sent to the power grid when the power load is light, thereby violating the anti-backflow ban of the power grid in some countries and regions. This ensures that the photovoltaic power generation system complies with national standards and protects the power grid.

[0012] Optionally, determining the real-time output power control value by comparing the real-time electric energy value with a preset electric energy setting value includes:

[0013] Obtain the charging power value, collect the current energy storage value of the energy storage device, and obtain the energy storage threshold of the energy storage device;

[0014] Determining whether the energy storage device can store energy based on the current energy storage value and the energy storage threshold;

[0015] If the judgment is yes, the real-time output power value is determined by the charging power value, the power load value and the production capacity data, so that the sum of the real-time output power values ​​is not greater than the sum of the power load value and the charging power value.

[0016] By adopting the above technical solution, excess electric energy is stored in the energy storage device, which greatly improves the fault tolerance rate and further reduces the probability of the real-time electric energy value exceeding the range of the electric energy set value, thereby protecting the power grid and improving the stability of photovoltaic power generation output.

[0017] Optional, including:

[0018] Determine the electric energy difference by the sum of the real-time output power value, the electric load value and the electric energy set value;

[0019] The electric energy that the energy storage device needs to compensate or store is determined by the electric energy difference.

[0020] By adopting the above technical solution, the real-time electric energy value sent to the power grid is compensated or stored through the energy storage device, so that the real-time electric energy value is maintained within the range of the electric energy set value, playing the role of electric energy storage or utilizing excess power generation, smoothing power fluctuations and improving power quality.

[0021] Optionally, determining the real-time output power control value by comparing the real-time electric energy value with a preset electric energy setting value includes:

[0022] Determine the current error value by using the current real-time electric energy value and the electric energy set value;

[0023] Determine the current proportional control amount by the current error value and a preset proportional coefficient;

[0024] Determine the previous error value by using the previous real-time electric energy value and the electric energy set value;

[0025] Determine the current integral control amount by using the current error value, the previous error value and a preset integral coefficient;

[0026] Determine the current differential control amount by the previous error value and the preset differential coefficient;

[0027] The real-time output power control value is determined by the current proportional control amount, the integral control amount and the differential control amount.

[0028] By adopting the above technical solution, the real-time output power control value is calculated by the current proportional control amount, integral control amount and differential control amount to adjust the output power of the micro inverter. At the same time, the integral control amount and differential control amount are used to reduce the deviation left over from the previous adjustment, making the adjustment more accurate.

[0029] This application provides a system for controlling a micro-inverter monitoring gateway in a zero-feedback network, which adopts the following technical solutions:

[0030] A system for controlling a micro-inverter and monitoring a gateway in a zero-feedback network, comprising:

[0031] Photovoltaic modules, a plurality of which are used for photovoltaic power generation;

[0032] A micro-inverter is electrically connected to the photovoltaic module, and a plurality of micro-inverters are connected in parallel as a grid-connected input terminal to output electrical energy;

[0033] The micro-inverter is provided with a communication module, which is used to collect the working status of the micro-inverter, obtain power generation data and output it;

[0034] An electric energy detection device is used to detect the electric energy output from the grid-connected input terminal to the grid, obtain the real-time electric energy value and output it;

[0035] The monitoring gateway is electrically connected to the micro-inverter, receives the production capacity data and the real-time electric energy value, processes the data, and outputs the real-time output power control value to the micro-inverter for control.

[0036] By adopting the above technical solution, the output power of the micro-inverter can be adjusted through the monitoring gateway, reducing excess power generation, lowering the probability of reverse flow caused by inputting power into the grid when the power load is light, and improving the stability of power generation output.

[0037] Optionally, also include:

[0038] a filter, receiving the grid-connected input output of the micro-inverter and optimizing the generated electric energy before outputting it to the grid;

[0039] The micro inverter and the monitoring gateway are electrically connected to the filter via wires to achieve wired networking, and the quality of data interaction is optimized through the filter.

[0040] By adopting the above technical solution, the filter can optimize the communication quality of the power cable. Through the wired networking of the micro-inverter, monitoring gateway and filter, it is ensured that the monitoring gateway can achieve real-time and reliable data transmission with the micro-inverter, reducing delays.

[0041] Optionally, also include:

[0042] The energy storage device is electrically connected to the grid-connected input terminal to store excess electric energy at the grid-connected input terminal and to provide output compensation when the grid-connected input terminal has insufficient electric energy. The energy storage device is also electrically connected to the monitoring gateway to collect the current energy storage value.

[0043] By adopting the above technical solution, the energy storage device can be used to store electric energy or utilize excess power generation power to smooth power fluctuations and improve power quality.

[0044] Optionally, a cloud server is also included, and the monitoring gateway includes:

[0045] A micro-inverter communication module, configured to perform data exchange with the communication module of the micro-inverter, receive power generation data, and output a real-time output power control value;

[0046] An electric energy detection communication module, used to exchange data with the electric energy detection device and receive real-time electric energy values;

[0047] A server communication module is used to exchange data with a cloud server, which is used to store data and provide human-computer interaction for users;

[0048] The main control module is used to calculate and process the data to obtain the real-time output power control value.

[0049] By adopting the above technical solution, the data of the monitoring gateway is stored and data exchanged through the cloud server, and remote control, adjustment and monitoring of the monitoring gateway and micro inverter are achieved, which greatly improves the safety and stability of the photovoltaic power generation system.

[0050] Optionally, the monitoring gateway further includes a power supply module, and the power supply module includes:

[0051] The power submodule is electrically connected to the grid input terminal and converts the voltage into a corresponding supply voltage;

[0052] A step-down submodule receives the supply voltage, steps down the supply voltage, and outputs it to the micro-inverter communication module and the main control module for power supply;

[0053] The isolated power supply submodule receives the supply voltage, steps down the supply voltage, and outputs the isolated voltage to the power detection communication module and the server communication module for power supply.

[0054] By adopting the above technical solutions, the power supply and isolation operation of the micro-inverter communication module, power detection communication module, server communication module, and main control module are guaranteed, which greatly improves safety and stability.

[0055] This application provides a computer-readable storage medium that uses the following technical solution:

[0056] A computer-readable storage medium stores a computer program capable of being loaded and executed by a processor, and is used to provide a method for controlling a micro-inverter and monitoring a gateway in a zero-feedback network.

[0057] By adopting the above technical solution, the computer program is stored in a computer-readable storage medium.

[0058] In summary, this application includes at least one of the following beneficial technical effects:

[0059] Realize zero-feedback grid control and improve the stability of photovoltaic power generation grid-connected input.

[0060] Realize remote control and detection of micro inverters.

[0061] The micro inverter has a fast response speed, timely adjustment, small deviation and high efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] FIG1 is a flow chart of a method for controlling a micro-inverter monitoring gateway in a zero-feed network according to an embodiment of the present application.

[0063] FIG2 is a flow chart of step S2.

[0064] FIG3 is a flow chart of step S3 .

[0065] FIG4 is a module diagram of a system for controlling a micro-inverter monitoring gateway in a zero-feed network according to an embodiment of the present application.

[0066] FIG5 is a schematic diagram of the modules of the monitoring gateway.

[0067] Explanation of the accompanying symbols: 1. Photovoltaic component; 11. Micro inverter; 12. Communication module; 13. Electric energy detection device; 14. Monitoring gateway; 2. Filter; 21. Energy storage device; 3. Cloud server; 31. Micro inverter communication module; 32. Electric energy detection communication module; 33. Server communication module; 34. Main control module; 35. Power module; 4. Power sub-module; 41. Step-down sub-module; 42. Isolation power sub-module. DETAILED DESCRIPTION

[0068] The present application is further described in detail below with reference to Figures 1-5.

[0069] The embodiment of the present application discloses a method for controlling a micro-inverter monitoring gateway using a zero-feedback network. Referring to FIG1 , the method for controlling a micro-inverter monitoring gateway using a zero-feedback network includes the following steps:

[0070] S1. Collect real-time electric energy values, production capacity data, and power load values;

[0071] S11, determining a real-time output power control value based on the real-time electric energy value and a preset electric energy setting value;

[0072] S12, determining the real-time output power value based on the real-time output power control value and the production capacity data;

[0073] S13. Adjust the outputs of corresponding micro-inverters by using the real-time output power control value so that the sum of the real-time output power values ​​is not greater than the power load value.

[0074] For example: Assume the set energy value is 0. If the real-time energy value is 1>0, there is a difference of 1 between the real-time energy value and the set energy value. At this time, the real-time output power control value is needed to adjust the output power of the micro-inverter, that is, to adjust the production data. If there are 100 photovoltaic modules and corresponding 100 micro-inverters, the output power of each micro-inverter needs to be reduced by the difference / the number of micro-inverters, that is, the output power is reduced by at least 1 / 100=0.01 units, so that the real-time energy value is not greater than the set energy value. The real-time energy value is the sum of the real-time output power values ​​(production data) of all micro-inverters minus the power load value.

[0075] Referring to FIG2 , step 11 further includes the following steps:

[0076] S2. Determine the current error value by comparing the current real-time electric energy value with the electric energy set value;

[0077] S21, determining the current proportional control amount by the current error value and the preset proportional coefficient;

[0078] S22, determining the previous error value by comparing the previous real-time electric energy value with the electric energy set value;

[0079] S23, determining the current integral control amount by using the current error value, the previous error value and the preset integral coefficient;

[0080] S24, determining the current differential control amount by comparing the previous error value with the preset differential coefficient;

[0081] S25. Determine the real-time output power control value through the current proportional control amount, integral control amount, and differential control amount.

[0082] For example: set the proportional coefficient to 50, the integral coefficient to 1.534, the differential coefficient to 0.021, and the electric energy set value to 0. If the real-time electric energy value collected for the first time is 1.2, the real-time electric energy value collected for the second time is 1.1, and the real-time electric energy value collected for the third time is 1, the real-time electric energy value collected for the third time is the latest one, which is the current real-time electric energy value. The current error value is 1-0=1, and then multiplied by the proportional coefficient to obtain the current proportional control amount of 1*50=50; the first error value is 1.2-0=1.2, and the second error value is 1.1-0=1.1, then the current error value is summed with the first error value and the second error value to obtain 1+1.1+1.2=3.3, and then multiplied by the integral coefficient to obtain the current integral control amount of 3.3*1.534=5.0622; then the second error value is summed with the first error value The difference of the error values ​​is 1.1-1.2=-0.1, which is then multiplied by the differential coefficient to obtain the current differential control value of -0.1*0.021=-0.0021; the current proportional control value, integral control value, and differential control value are then summed to obtain the real-time output power control value of 50+5.0622-0.0021=55.0601, and the output power of the micro-inverter is then adjusted accordingly, that is, the output power of the micro-inverter is reduced to reduce the excess power input to the grid. The proportional coefficient, integral coefficient, and differential coefficient are obtained by adjusting the parameters of the micro-inverter; if the real-time power value collected for the first time is -1.2, if the real-time power value collected for the second time is -1.1, and if the real-time power value collected for the third time is -1, then the calculated real-time output power control value is -55.0601. At this time, the output power of the micro-inverter is increased to reduce the power drawn from the grid.

[0083] Referring to FIG3 , step S11 further includes the following steps:

[0084] S3. Obtain a charging power value, collect the current energy storage value of the energy storage device, and obtain an energy storage threshold value of the energy storage device;

[0085] S31, determining whether the energy storage device can store energy based on the current energy storage value and the energy storage threshold;

[0086] S32: If the answer is yes, determine the real-time output power value by using the charging power value, the power load value, and the production capacity data, so that the sum of the real-time output power values ​​is not greater than the sum of the power load value and the charging power value.

[0087] For example: Assume the charging power value is 2 and the energy storage threshold is 100. If the current energy storage value is 50<100, it means that the energy storage device can continue to store energy. If the power load value is 1, if the production data is 3, and if the unit time is 1, then the output power corresponding to the production data is 3 / 1=3. At this time, the real-time electric energy value is the output power corresponding to the production data - the power load value - the charging power value is 0, and there is no need to calculate the real-time output power control value. If the current energy storage value is 100, then the real-time electric energy value is the output power corresponding to the production data - the power load value is 2. At this time, it is necessary to calculate the real-time output power control value to adjust the output power of the microinverter and reduce the excess power flowing into the grid.

[0088] 3 , after step S32, the following steps are also included:

[0089] S4. Determine the electric energy difference by summing the real-time output power value and the electric energy set value;

[0090] S41. Determine the electric energy that the energy storage device needs to compensate or store based on the electric energy difference.

[0091] For example: if the capacity data is 1, if the unit time is 1, the maximum charging power value of the energy storage device is 1, and the maximum output power is 1, then the output power corresponding to the capacity data is 1 / 1=1, that is, the real-time output power value is 1. If the electric energy setting value is -1 and the power load value is 1, then the electric energy difference is 1-1=0>-1, and the energy storage device is required to store energy with a charging power value of 1; if the power load value is 0.5, then the electric energy difference is 1-0.5=0.5>-1, and the difference is 1.5>1, which exceeds the energy storage range of the energy storage device. In this case, the real-time output power control value is used. After calculating and adjusting the output power of the micro-inverter, the difference is made to fall within the range of the energy storage device, and then the energy storage device is used for energy storage absorption; if the power load value is 3, the electric energy difference is 1-3=-2<-1, and the energy storage device is required to compensate for the output power of 1; if the power load value is 4, the electric energy difference is 1-4=-3<-1, and the difference is -3<-1, which exceeds the compensation range of the energy storage device. The output power of the micro-inverter is adjusted by calculating the real-time output power control value so that the difference falls within the range of the energy storage device, and then the energy storage device is used for compensation output.

[0092] The implementation principle of a method for controlling a micro-inverter monitoring gateway in a zero-feed network according to an embodiment of the present application is as follows: collecting the real-time electric energy value output to the power grid, and comparing the real-time electric energy value with the electric energy set value to determine whether the output power of the micro-inverter (i.e., the real-time output power value) needs to be adjusted; if it is determined to be necessary, the real-time output power control value is calculated by the current real-time electric energy value, the previous real-time electric energy value (the previous two times), the electric energy set value, the proportional coefficient, the integral coefficient, and the differential coefficient, so as to adjust the real-time output power value of the micro-inverter according to the real-time output power control value, that is, if the real-time output power value of the micro-inverter is too high, it is reduced to reduce the reverse flow caused by the input of excess electric energy into the power grid; if the real-time output power value of the micro-inverter is too low, it is increased to reduce the power drawn from the power grid.

[0093] The embodiment of the present application discloses a system for controlling a micro-inverter monitoring gateway with a zero-feedback network. Referring to Figure 4, the system for controlling a micro-inverter monitoring gateway with a zero-feedback network includes a photovoltaic module 1, a micro-inverter 11, an electric energy detection device 13, a monitoring gateway 14, a cloud server 3, a filter 2, and an energy storage device 21. In this embodiment, the photovoltaic module 1 is a photovoltaic power generation device, such as a photovoltaic panel, etc. Each photovoltaic module 1 corresponds to a micro-inverter 11, and the output end of the photovoltaic module 1 is electrically connected to the DC input end of the micro-inverter 11. All micro-inverters 11 and a monitoring gateway 14 are connected in parallel to the input end of the filter 2 through power cables. The power load, the energy storage device 21, and the filter 2 are electrically connected to the output end of the electric energy detection device 13 through power cables, and the input end of the electric energy detection device 13 is electrically connected to the power grid. The monitoring gateway 14 is used for zero-feedback network control and data interaction with the cloud server 3. The monitoring gateway 14 interacts with the cloud server 3 in real time through WIFI or wired network, so that the cloud server 3 has the function of real-time monitoring of the operating status of the entire photovoltaic power generation system.

[0094] 4 , the micro-inverter 11 includes a communication module 12 , which is used to output power generation data formed by various operating status data of the micro-inverter 11 . The power generation data includes the electric energy output by the micro-inverter 11 , the real-time output power value, etc., so that the micro-inverter 11 has a communication function.

[0095] Referring to Figure 4 , in this embodiment, when using the PLCC communication mode, each micro-inverter 11 with communication capabilities and a monitoring gateway 14 capable of implementing zero-feedback network control must be connected in parallel to the input side of filter 2 to achieve wired networking. This ensures that the monitoring gateway 14 capable of implementing zero-feedback network control can conduct real-time and reliable data transmission with the micro-inverter 11 with communication capabilities. Filter 2, acting as a PLCC filter, optimizes the communication quality of the power cable. Furthermore, the monitoring gateway 14 and the power detection device 13 can be electrically connected via a communication line to exchange data and signals, thereby obtaining real-time power values. When using other communication modes, the micro-inverter 11 and the monitoring gateway 14 can be directly electrically connected to the power detection device 13 without installing filter 2. The access point of the monitoring gateway 14 capable of implementing zero-feedback network control can be relatively flexible. Data and signals can then be exchanged between the monitoring gateway 14, the micro-inverter 11, and the power detection device 13 via communication lines or Wi-Fi.

[0096] 4 , in this embodiment, the electric energy detection device 13 may be a smart meter or a CT as an intelligent detection device, and transmits the collected data to a monitoring gateway 14 that can realize zero-feedback network control through a communication line for real-time data interaction.

[0097] Referring to Figure 4 , in this embodiment, energy storage device 21 primarily serves as a reserve for excess electrical energy, utilizing this stored energy to smooth power fluctuations and improve power quality. However, it may not be installed in actual use. Energy storage device 21 interacts with monitoring gateway 14 via a communication line or Wi-Fi.

[0098] 4 and 5 , the monitoring gateway 14 includes a micro-inverter communication module 31, a power detection communication module 32, a server communication module 33, a main control module 34, and a power module 35. The power module 35 includes a power sub-module 4, a step-down sub-module 41, and an isolated power sub-module 42. The power sub-module 4 is electrically connected to the grid-connected input terminal of multiple micro-inverters 11 connected in parallel. In this embodiment, the power sub-module 4 converts AC power into 12V DC voltage, which is then output as a power supply voltage to the step-down sub-module 41 and the isolated power sub-module 42. In this embodiment, the step-down sub-module 41 can use a step-down chip to reduce the 12V DC voltage to 5V, and then to 3.3V DC, which is then output to the micro-inverter communication module 31 and the main control module 34 as power input. In this embodiment, the isolated power submodule 42 first outputs isolated 5V DC power, then outputs isolated 3.3V DC power through the step-down chip, and then supplies power to the power detection communication module 32 and the server communication module 33.

[0099] 4 and 5 , in this embodiment, the main control module 34 can be an MCU. The main control module 34 is electrically connected to the micro-inverter communication module 31, the power detection communication module 32, and the server communication module 33 via signal lines to achieve data exchange. The micro-inverter communication module 31 can remotely communicate with the communication module 12 of the micro-inverter 11 via a communication line or Wi-Fi, thereby acquiring power generation data and then outputting the power generation data to the main control module 34. After processing the data and signals, the main control module 34 outputs a real-time output power control value to the micro-inverter 11 via the micro-inverter communication module 31. The power detection communication module 32 can remotely communicate with the power detection device 13 via a communication line or Wi-Fi, thereby acquiring real-time power values ​​and outputting them to the main control module 34. The server communication module 33 can communicate remotely with the cloud server 3 through a communication line or WIFI, and the main control module 34 can interact with the cloud server 3 through the server communication module 33, thereby reading data from the cloud server 3 or storing data in the cloud server 3. The cloud server 3 can record the data to form a log for the user to view. The user can also input operation data and signals into the cloud server 3, and then read the operation data and signals through the server communication module 33 and output them to the main control module 34, and then perform corresponding calculations. For example, parameters such as the power setting value can be remotely modified, or operations such as manually shutting down a specified micro-inverter can be performed.

[0100] Telecommunications come in a variety of forms and structures, including WiFi modules, 3G modules, 4G modules, and 5G modules. These utilize the resources of linked networks to form networks and provide telecommunication or remote control capabilities. Linked networks generally refer to general or private networks, such as those used by the public, within enterprises, or at home. Commonly used linked networks include wired networks, wireless networks, and satellite networks, which can be composed of any one of these, two of these, or a hybrid of all three. The network interfaces and protocols included in telecommunications can include: satellite network interfaces and protocols, wireless network interfaces and protocols, and wired network interfaces and protocols. Satellite network interfaces and protocols include satellite positioning interfaces and protocols and satellite communication interfaces and protocols; wireless network interfaces and protocols include wireless positioning interfaces and protocols and wireless communication interfaces and protocols; and wired network interfaces and protocols include wired positioning interfaces and protocols and wired communication interfaces and protocols. Common satellite positioning interfaces and protocols, namely GNSS, include but are not limited to GPS, Beidou, GLONASS, and Galileo, with the more common NMEA-0183 standard protocol being a more common one. Common wireless positioning interfaces and protocols include but are not limited to LBS (base station positioning) or MPS (mobile positioning), and road marker number positioning. Common wired positioning interfaces and protocols include but are not limited to IP address positioning and protocols. Common satellite communication interfaces and protocols include but are not limited to CCS-IoT, SNB-IoT, SOC, and MOZIQC. Common wireless communication interfaces and protocols include but are not limited to IoT, NB-IoT, WLAN, GPRS, and SMS. Common wired communication interfaces and protocols include but are not limited to ADSL, LAN, FTTX+LAN, 100BaseT LAN, and LXI-A / B / C.

[0101] The embodiment of the present application discloses a computer-readable storage medium. Referring to FIG1 , the computer-readable storage medium stores a computer program that can be loaded and executed by a processor to implement a method for controlling a micro-inverter monitoring gateway in a zero-feedback network.

[0102] Computer-readable storage media include, for example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0103] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for monitoring a gateway of a zero-feed network control micro-inverter, characterized in that including: acquiring real-time power values, production data, and electrical load values; determining a real-time output power control value based on the real-time power value and a preset power set value; determining a real-time output power value based on the real-time output power control value and the production data; adjusting the output of corresponding micro-inverters according to the real-time output power control value so that the sum of the real-time output power values is not greater than the electrical load value.

2. A method for monitoring and controlling a zero-feed network micro-inverter monitoring gateway according to claim 1, characterized in that, Determining the real-time output power control value based on the real-time power value and the preset power set value includes: obtaining a charging power value, acquiring the current energy storage value of an energy storage device, and obtaining the energy storage threshold of the energy storage device; determining whether the energy storage device can store energy based on the current energy storage value and the energy storage threshold; judging that if so, determining the real-time output power value based on the charging power value, the electrical load value, and the production data so that the sum of the real-time output power values is not greater than the sum of the electrical load value and the charging power value.

3. A method for monitoring and controlling a zero-feed network micro-inverter monitoring gateway according to claim 2, characterized in that, including: determining an electrical energy difference based on the sum of the real-time output power values, the electrical load value, and the power set value; determining the electrical energy that the energy storage device needs to compensate or store based on the electrical energy difference.

4. A method for monitoring a gateway of a zero-feed network control micro-inverter according to claim 1, characterized in that, Determining the real-time output power control value based on the real-time power value and the preset power set value includes: determining a current error value based on the current real-time power value and the power set value; determining a current proportional control quantity based on the current error value and a preset proportionality coefficient; determining a previous error value based on the previous real-time power value and the power set value; determining a current integral control quantity based on the current error value, the previous error value, and a preset integral coefficient; determining a current derivative control quantity based on the previous error value and a preset derivative coefficient; determining the real-time output power control value based on the current proportional control quantity, the integral control quantity, and the derivative control quantity.

5. A system for a zero-feed-in control micro-inverter monitoring gateway, which is used to implement the method of a zero-feed-in control micro-inverter monitoring gateway according to any one of claims 1 to 4, characterized in that, The system includes: a plurality of photovoltaic modules (1) for performing photovoltaic power generation; a plurality of micro-inverters (11) corresponding one-to-one to the plurality of photovoltaic modules (1), each micro-inverter (11) being electrically connected to one of the plurality of photovoltaic modules (1), and the plurality of micro-inverters (11) being connected in parallel as a grid-connected input end to output electrical energy; a communication module (12) is provided in the micro-inverter (11), and the communication module (12) is used to collect the working state of the micro-inverter (11), obtain production data and output it; an electrical energy detection device (13) for detecting the electrical energy output from the grid-connected input end to the power grid, obtaining a real-time power value and outputting it; a monitoring gateway (14) is electrically connected to the micro-inverter (11), receives production data and real-time power values, and performs data processing, and outputs a real-time output power control value to the micro-inverter (11) for control.

6. The system of a zero-feed network control micro-inverter monitoring gateway according to claim 5, characterized in that, It further includes: a filter (2) that receives the output from the grid-connected input end of the micro-inverter (11), optimizes the generated electrical energy, and outputs it to the power grid; The micro-inverter (11) and the monitoring gateway (14) are connected to the filter (2) through a wired connection to achieve wired networking, and the quality of data interaction is optimized through the filter (2).

7. The system of a zero-feed network control micro-inverter monitoring gateway according to claim 5, characterized in that, It further includes: An energy storage device (21), which is electrically connected to the grid-connected input end to store the redundant electric energy at the grid-connected input end and perform output compensation when the electric energy at the grid-connected input end is insufficient. It is also electrically connected to the monitoring gateway (14) for collecting the current energy storage value.

8. A system for monitoring a zero-feed network control micro-inverter monitoring gateway according to claim 5, characterized in that, It further includes a cloud server (3), and the monitoring gateway (14) includes: A micro-inverter communication module (31) for data interaction with the communication module (12) of the micro-inverter (11), receiving production energy data, and outputting a real-time output power control value; An electric energy detection communication module (32) for data interaction with the electric energy detection device (13) to receive the real-time electric energy value; A server communication module (33) for data interaction with the cloud server (3), and the cloud server (3) is used for storing data and for human-computer interaction by users; A main control module (34) for calculating and processing data to obtain a real-time output power control value.

9. A system of a zero-feed network control micro-inverter monitoring gateway according to claim 8, characterized in that, The monitoring gateway (14) further includes a power supply module (35), and the power supply module (35) includes: A power supply sub-module (4), which is electrically connected to the grid-connected input end and converts the voltage into a corresponding supply voltage; A step-down sub-module (41), which receives the supply voltage, steps down the supply voltage, and outputs it to the micro-inverter communication module (31) and the main control module (34) for power supply; An isolated power supply sub-module (42), which receives the supply voltage, steps down the supply voltage, and outputs an isolated voltage to the electric energy detection communication module (32) and the server communication module (33) for power supply.

10. A computer-readable storage medium, characterized in that, A computer program is stored that can be loaded and executed by a processor to perform the method of a zero-feed network control micro-inverter monitoring gateway according to any one of claims 1 to 4.

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