Household photovoltaic energy storage remote regulation and control system and method

Abstract

The invention provides a household photovoltaic energy storage remote regulation and control system and method. The household photovoltaic energy storage remote regulation and control system comprises a photovoltaic power generation module, the photovoltaic power generation module comprises but is not limited to a photovoltaic module and an inverter, and the photovoltaic power generation module is responsible for converting solar energy into electric energy and transmitting the electric energy to energy storage equipment or directly supplying the electric energy to a household load for use; the photovoltaic power generation module can collect and process solar data in real time; the energy storage module comprises but is not limited to a battery pack and an energy storage management system BMS, the energy storage module is responsible for storing redundant electric energy and providing electric power when needed, and the energy storage module has self-diagnosis and protection functions, so that the safety and stability of the battery can be ensured. The household photovoltaic energy storage remote regulation and control system and method provided by the invention have the advantages that remote monitoring and intelligent regulation and control of the photovoltaic power generation system and the energy storage system can be realized, so that the energy utilization efficiency is improved, and the energy waste is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power generation, and particularly relates to a household photovoltaic energy storage remote control system and method. Background Art

[0002] With the global energy transformation and the improvement of environmental awareness, solar energy, as a clean energy source, has received extensive attention. As an environmentally friendly and economical household energy solution, the household photovoltaic power generation system has become an important part of residents' daily energy consumption. However, although the household photovoltaic system can provide clean electricity for households during installation and use, in actual operation, users often have certain difficulties in real-time monitoring and adjustment of data such as the operating status, power generation efficiency, and energy storage status of the photovoltaic system, especially remote control and management. In order to improve the management efficiency of the photovoltaic power generation system for users, optimize energy utilization, and reduce energy waste, it is necessary to provide a new household photovoltaic energy storage remote control system and method to solve the above technical problems. Summary of the Invention

[0003] The technical problem solved by the present invention is to provide a household photovoltaic energy storage remote control system and method that can realize remote monitoring and intelligent control of the photovoltaic power generation system and the energy storage system to improve energy utilization efficiency and reduce energy waste.

[0004] To solve the above technical problem, the household photovoltaic energy storage remote control system provided by the present invention includes: a photovoltaic power generation module, the photovoltaic power generation module includes but is not limited to photovoltaic modules and inverters, the photovoltaic power generation module is responsible for converting solar energy into electrical energy and transmitting it to the energy storage device or directly supplying it to household loads, and the photovoltaic power generation module can collect and process solar energy data in real time;

[0005] An energy storage module, the energy storage module includes but is not limited to a battery pack and a battery management system BMS, the energy storage module is responsible for storing excess electrical energy and providing power when needed, and the energy storage module has self-diagnosis and protection functions, thereby ensuring the safety and stability of the battery;

[0006] A remote monitoring and control center, the remote monitoring and control center uploads the status data of the photovoltaic power generation system and the energy storage system to the cloud through Internet of Things technology (IoT), and users can remotely monitor and operate the system at any time through smart phones, computer devices, and the control center can also be responsible for real-time display of photovoltaic power generation data, energy storage power data, system health status data, and support remote adjustment, such as adjusting charging power, discharging power, and device switches;

[0007] Data analysis and optimization module. The data analysis and optimization module performs real-time analysis on the system operation data through big data analysis algorithms, predicts power demand, and optimizes the charge and discharge strategies of the energy storage system. By learning the user's electricity consumption habits, the system can intelligently determine when to enable photovoltaic power generation, when to use the energy storage battery, and when to draw power from the grid, maximizing the power usage efficiency and reducing energy waste;

[0008] User interface module. The user interface module is used to display information on photovoltaic power generation, energy storage status, and device status. Users can perform real-time viewing, historical data query, device control, and alarm setting operations through the APP or WEB platform.

[0009] As a further aspect of the present invention, the photovoltaic module is used to convert sunlight into electrical energy. Each photovoltaic module is composed of multiple photovoltaic cells, usually made of silicon materials such as monocrystalline silicon or polycrystalline silicon. The photovoltaic cells are protected by a transparent encapsulation material such as glass to ensure long-term stable operation in harsh environments and reduce light loss at the same time.

[0010] As a further aspect of the present invention, the photovoltaic module further includes a junction box. The junction box integrates electrical connection components to collect the output voltage and current of each battery module and output them to the inverter.

[0011] As a further aspect of the present invention, the inverter can convert the direct current (DC) generated by the photovoltaic module into alternating current (AC) required by the household power grid. The inverter not only has the function of current conversion but also is responsible for controlling the stable output of electrical energy to ensure the quality and reliability of the power.

[0012] As a further aspect of the present invention, the functions of the inverter are specifically as follows:

[0013] (1). The inverter converts the direct current from the photovoltaic module through an electronic switch circuit and, after high-frequency conversion, into stable alternating current (AC). The voltage, frequency, and phase of this alternating current can match the household power grid to ensure the smooth supply of electrical energy to household appliances;

[0014] (2). The inverter also has the maximum power point tracking (MPPT) function, which can monitor the working status of the photovoltaic module in real time and automatically adjust the output voltage and current to ensure that the system always operates at the best efficiency under different lighting conditions;

[0015] (3). The inverter is built with a fault detection system that can monitor the operating status of the photovoltaic system in real time, such as overload faults, short-circuit faults, and over-temperature faults. When an abnormality occurs, the inverter will automatically cut off the power supply to avoid system damage or safety hazards;

[0016] (4). The inverter is also equipped with a built-in communication module, which is used to collect current data, voltage data, power data, and temperature data, and transmit these data to the remote monitoring system or the user terminal in real time. Through these data, users and the remote control center can understand the operating status of the photovoltaic system in real time and discover potential problems.

[0017] As a further aspect of the present invention, the photovoltaic power generation module further includes a light sensor, a temperature sensor, a voltage and current sensor, and a data acquisition module. The light sensor, temperature sensor, and voltage and current sensor will summarize the collected data through the data acquisition module and upload it to the remote monitoring platform or the control center through the communication module.

[0018] As a further aspect of the present invention, the communication module includes, but is not limited to, Wi-Fi, Bluetooth, and ZigBee. The effects of the light sensor, temperature sensor, and voltage and current sensor are as follows:

[0019] (1). Light sensor: It is used to detect the solar radiation intensity received by the photovoltaic module in real time. By adjusting the working state of the inverter, it ensures the maximum power generation efficiency of the photovoltaic module.

[0020] (2). Temperature sensor: It is used to monitor the temperature of the photovoltaic module and the inverter to prevent performance degradation or equipment damage caused by excessive temperature.

[0021] (3). Voltage and current sensor: It is used to monitor the output voltage and current of the photovoltaic module in real time, ensure the stability of the power conversion process, and provide data support for the maximum power point tracking (MPPT).

[0022] As a further aspect of the present invention, the photovoltaic power generation module can transmit real-time data to the remote monitoring system through the integrated sensors and data acquisition module. The remote monitoring system can perform real-time monitoring, data analysis, and fault diagnosis on the photovoltaic power generation system according to the transmitted data. The method is as follows:

[0023] (1). Real-time data monitoring: Through the remote monitoring platform, users can view the power generation data, temperature data, voltage data, and current data of the photovoltaic power generation module in real time, and adjust the working mode of the photovoltaic system according to the data trend.

[0024] (2). Fault diagnosis and early warning: By analyzing the collected data, the remote system can automatically identify potential faults in the system, such as the output power of the photovoltaic module being lower than the predetermined value and the battery voltage being abnormal, and issue an alarm in a timely manner.

[0025] (3). Maximum Power Point Tracking (MPPT): By collecting real-time data on light intensity, temperature, voltage, and current, the system can automatically adjust the operating state of the photovoltaic modules to ensure that they always operate at the optimal point, thereby enhancing the overall power generation efficiency of the system.

[0026] As a further aspect of the present invention, the photovoltaic power generation module stores the collected photovoltaic power generation data in the cloud or a local database and provides a historical data query function for users to conduct long-term trend analysis or fault tracing. The photovoltaic power generation data includes, but is not limited to, daily power generation, power, and efficiency. Moreover, the power output, battery charge, and fault records of each photovoltaic power generation module are stored in the database, enabling users to view historical records and understand the long-term operating status of the system.

[0027] The present invention also provides a method for remote control and regulation of household photovoltaic energy storage, comprising the following steps:

[0028] S1. Photovoltaic power generation data collection: The photovoltaic power generation module collects real-time power generation data, light intensity data, system voltage data, and current data through various sensors and then transmits them to the remote monitoring center;

[0029] S2. Energy storage state monitoring: The energy storage module monitors the battery charge, health status, charge and discharge efficiency information in real time to ensure that the energy storage device operates at the optimal state;

[0030] S3. Data upload and remote control: The device data is uploaded to the cloud through Wi-Fi, 4G / 5G networks, and users can view the system data and perform remote operations through the APP or WEB platform, such as adjusting the charge / discharge power, switching devices, and setting the operating mode;

[0031] S4. Intelligent optimization strategy: The data analysis module automatically optimizes the charge and discharge time and power of the energy storage battery based on historical data and user habits to ensure the maximization of the system's energy utilization rate;

[0032] S5. Fault detection and warning: The operating states of each component are detected through sensors, and whether there are abnormalities is analyzed in real time. When a fault is detected, an alarm is pushed to the user through the mobile phone APP.

[0033] Compared with related technologies, the household photovoltaic energy storage remote control system and method provided by the present invention have the following beneficial effects:

[0034] 1. Users can view the power generation, energy storage situation, and device health status of the photovoltaic system at any time through mobile or computer devices and even perform operations remotely. This not only reduces the complexity of on-site maintenance but also improves the operability of the system and the user experience;

[0035] 2. Through data analysis and intelligent optimization functions, the system of the present invention can intelligently adjust the charging and discharging strategies of the battery according to the electricity demand and photovoltaic power generation conditions at different time periods, enabling the energy storage system to always be in the best working state, maximizing the utilization rate of electric energy. Especially when the lighting conditions are not ideal, the system will automatically obtain electricity from the energy storage battery or the power grid to ensure that household electricity is not affected.

[0036] 3. Based on the built-in fault detection and early warning functions, the present invention can issue an alarm when the device malfunctions and transmit the fault information to the user terminal. Users can timely understand the operating status of the device, avoid device damage and fault shutdown, and extend the service life of the device.

[0037] 4. Through intelligent energy scheduling, the system of the present invention can avoid ineffective or unnecessary power consumption, reduce the dependence on power from the power grid, and lower the household electricity cost. At the same time, the maximum power generation potential of the photovoltaic system is exerted, reducing the dependence on traditional energy sources and having a positive environmental protection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0039] Figure 1 It is a schematic diagram of the household photovoltaic energy storage remote control system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Please refer to Figure 1 , in which, Figure 1 It is a schematic diagram of the household photovoltaic energy storage remote control system of the present invention. The household photovoltaic energy storage remote control system includes: a photovoltaic power generation module, the photovoltaic power generation module includes but is not limited to photovoltaic modules and inverters, the photovoltaic power generation module is responsible for converting solar energy into electric energy and transmitting it to the energy storage device or directly supplying it to household loads, and the photovoltaic power generation module can collect and process solar energy data in real time;

[0041] An energy storage module, the energy storage module includes but is not limited to a battery pack and a battery management system BMS, the energy storage module is responsible for storing excess electric energy and providing power when needed, and the energy storage module has self-diagnosis and protection functions, which can ensure the safety and stability of the battery;

[0042] A remote monitoring and control center, the remote monitoring and control center uploads the status data of the photovoltaic power generation system and the energy storage system to the cloud through Internet of Things technology (IoT). Users can remotely monitor and operate the system at any time through smart phones, computer devices, and the control center can also be responsible for real-time display of photovoltaic power generation data, energy storage power data, system health status data, and support remote adjustment, such as adjusting charging power, discharging power, and device switches.

[0043] A data analysis and optimization module. The data analysis and optimization module performs real-time analysis on the system operation data through big data analysis algorithms, predicts power demand, and optimizes the charging and discharging strategies of the energy storage system. By learning the user's electricity consumption habits, the system can intelligently determine when to enable photovoltaic power generation, when to use energy storage batteries, and when to draw power from the grid, maximizing the power usage efficiency and reducing energy waste;

[0044] A user interaction interface module. The user interaction interface module is used to display information about photovoltaic power generation, energy storage status, and device status. Users can perform real-time viewing, historical data querying, device control, and alarm setting operations through the APP or WEB platform.

[0045] The photovoltaic module is used to convert sunlight into electrical energy. Each photovoltaic module consists of multiple photovoltaic cells, usually made of silicon materials such as monocrystalline silicon or polycrystalline silicon. The photovoltaic cells are protected by transparent encapsulation materials such as glass to ensure long-term stable operation in harsh environments and reduce light loss at the same time.

[0046] The photovoltaic module also includes a junction box. The junction box integrates electrical connection components to collect the output voltage and current of each battery module and output them to the inverter.

[0047] The inverter can convert the direct current (DC) generated by the photovoltaic module into alternating current (AC) required by the household power grid. The inverter not only has the function of current conversion but also is responsible for controlling the stable output of electrical energy to ensure the quality and reliability of the power.

[0048] The functions of the inverter are as follows:

[0049] (1). The inverter converts the direct current from the photovoltaic module through an electronic switch circuit, and after high-frequency conversion, it is converted into stable alternating current (AC). The voltage, frequency, and phase of this alternating current can match the household power grid to ensure the smooth supply of electrical energy to household appliances;

[0050] (2). The inverter also has the maximum power point tracking (MPPT) function, which can monitor the working status of the photovoltaic module in real time and automatically adjust the output voltage and current to ensure that the system always operates at the best efficiency under different lighting conditions;

[0051] (3). The inverter is built with a fault detection system that can monitor the operating status of the photovoltaic system in real time, such as overload faults, short-circuit faults, and over-temperature faults. When an abnormality occurs, the inverter will automatically cut off the power supply to avoid system damage or safety hazards;

[0052] (4) The inverter is also equipped with a built-in communication module for collecting current data, voltage data, power data, and temperature data, and transmitting these data in real time to the remote monitoring system or user end. Through these data, users and remote control centers can understand the operating status of the photovoltaic system in real time and discover potential problems.

[0053] The photovoltaic power generation module also includes a light sensor, a temperature sensor, a voltage and current sensor and a data acquisition module. The light sensor, temperature sensor and voltage and current sensor will summarize the collected data through the data acquisition module and upload it to the remote monitoring platform or control center through the communication module.

[0054] The communication module includes but is not limited to Wi-Fi, Bluetooth and ZigBee, and the effects of the light sensor, temperature sensor and voltage and current sensor are as follows:

[0055] (1) Light sensor: used to detect the intensity of solar radiation received by the photovoltaic module in real time, and to ensure the maximum power generation efficiency of the photovoltaic module by adjusting the working state of the inverter;

[0056] (2) Temperature sensor: used to monitor the temperature of photovoltaic modules and inverters to prevent excessive temperature from causing performance degradation or equipment damage;

[0057] (3) Voltage and current sensors: used to monitor the output voltage and current of photovoltaic modules in real time, ensure the stability of the power conversion process, and provide data support for maximum power point tracking (MPPT).

[0058] The photovoltaic power generation module can transmit real-time data to the remote monitoring system through the integrated sensor and data acquisition module. The remote monitoring system can perform real-time monitoring, data analysis and fault diagnosis on the photovoltaic power generation system according to the transmitted data. The method is as follows:

[0059] (1) Real-time data monitoring: Through the remote monitoring platform, users can view the power generation data, temperature data, voltage data, and current data of the photovoltaic power generation module in real time, and adjust the working mode of the photovoltaic system according to the data trend;

[0060] (2) Fault diagnosis and early warning: By analyzing the collected data, the remote system can automatically identify potential faults in the system, such as the output power of the photovoltaic module is lower than the preset value, the battery voltage is abnormal, and issue an alarm in time;

[0061] (3) Maximum Power Point Tracking (MPPT): By collecting light intensity, temperature, voltage and current data in real time, the system can automatically adjust the working state of the photovoltaic module to ensure that it is always at the optimal working point, thereby improving the overall power generation efficiency of the system.

[0062] The photovoltaic power generation module stores the collected photovoltaic power generation data in the cloud or a local database, and provides a historical data query function for users to conduct long-term trend analysis or fault tracing. The photovoltaic power generation data includes, but is not limited to, daily power generation, power, and efficiency. The power output, battery power, and fault records of each photovoltaic power generation module are stored in the database, supporting users to view historical records and understand the long-term operating status of the system.

[0063] The effects of the present invention are as follows:

[0064] 1. Users can view the power generation, energy storage situation, and equipment health status of the photovoltaic system at any time through mobile phones or computer devices, and even operate remotely. This not only reduces the complexity of on-site maintenance but also improves the operability of the system and the user experience;

[0065] 2. Through data analysis and intelligent optimization functions, the system can intelligently adjust the charge and discharge strategies of the battery according to the electricity demand and photovoltaic power generation conditions in different time periods, enabling the energy storage system to always be in the best working state, maximizing the utilization rate of electric energy. Especially when the lighting conditions are not ideal, the system will automatically obtain electricity from the energy storage battery or the power grid to ensure that household electricity is not affected;

[0066] 3. Based on the built-in fault detection and warning function, it can issue an alarm when the equipment is abnormal and transmit the fault information to the user terminal. Users can timely understand the operating status of the equipment, avoid equipment damage and fault shutdown, and extend the service life of the equipment;

[0067] 4. Through intelligent energy scheduling, the system can avoid ineffective or unnecessary power consumption, reduce the dependence on power from the power grid, and reduce household electricity costs. At the same time, the maximum power generation potential of the photovoltaic system is exerted, reducing the dependence on traditional energy sources and having a positive environmental protection effect.

[0068] The present invention also provides a method for remote regulation of household photovoltaic energy storage, including the following steps:

[0069] S1. Photovoltaic power generation data collection: The photovoltaic power generation module collects power generation power data, light intensity data, system voltage data, and current data in real time through various sensors, and then transmits them to the remote monitoring center;

[0070] S2. Energy storage status monitoring: The energy storage module monitors the battery power, health status, charge and discharge efficiency information in real time to ensure that the energy storage device is in the best working state;

[0071] S3. Data Upload and Remote Control: The device data is uploaded to the cloud via Wi-Fi, 4G / 5G network. The user can view the system data and perform remote operations through the APP or WEB platform, such as adjusting the charging / discharging power, switching the device on / off, and setting the operating mode.

[0072] S4. Intelligent Optimization Strategy: The data analysis module automatically optimizes the charging and discharging time and power of the energy storage battery according to historical data and user habits to ensure the maximization of the system's energy utilization rate.

[0073] S5. Fault Detection and Warning: The operating status of each component is detected by sensors, and whether there is any abnormality is analyzed in real time. When a fault is detected, an alarm is pushed to the user through the mobile APP.

[0074] The present invention can realize the remote monitoring and intelligent control of the photovoltaic power generation system and the energy storage system to improve the energy utilization efficiency and reduce energy waste.

[0075] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

Claims

1. A household photovoltaic energy storage remote control system, characterized in that: include: Photovoltaic power generation module, which includes but is not limited to photovoltaic modules and inverters. The photovoltaic power generation module is responsible for converting solar energy into electrical energy and transmitting it to energy storage equipment or directly for household loads. The photovoltaic power generation module can collect and process solar energy data in real time; Energy storage module, including but not limited to battery pack and energy storage management system BMS, the energy storage module is responsible for storing excess electrical energy and providing power when needed, the energy storage module has self-diagnosis and protection functions, thereby ensuring the safety and stability of the battery; Remote monitoring and control center, which uploads the status data of photovoltaic power generation system and energy storage system to the cloud through Internet of Things (IoT) technology. Users can remotely monitor and operate the system anytime and anywhere through smart phones and computer devices. The control center can also be responsible for real-time display of photovoltaic power generation data, energy storage power data, system health data, and support remote adjustment, such as adjusting charging power, discharging power, and equipment switching; Data analysis and optimization module: The data analysis and optimization module uses big data analysis algorithms to analyze system operation data in real time, predict power demand, and optimize the charging and discharging strategy of the energy storage system. By learning the user's power usage habits, the system can intelligently determine when to enable photovoltaic power generation, when to use energy storage batteries, and when to draw power from the grid, thereby maximizing power usage efficiency and reducing energy waste; The user interaction interface module is used to display photovoltaic power generation, energy storage conditions, and equipment status information. Users can view in real time, query historical data, control equipment, and set alarms through the APP or WEB platform.

2. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The photovoltaic module is used to convert sunlight into electrical energy. Each photovoltaic module is composed of multiple photovoltaic cells, which are usually made of silicon materials, such as monocrystalline silicon or polycrystalline silicon. The photovoltaic cells are protected by transparent packaging materials, such as glass, to ensure long-term stable operation in harsh environments while reducing light loss.

3. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The photovoltaic assembly also includes a junction box, in which electrical connection elements are integrated to collect the output voltage and current of each battery module and output them to the inverter.

4. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The inverter can convert the direct current (DC) generated by the photovoltaic module into the alternating current (AC) required by the home power grid. The inverter not only has the current conversion function, but is also responsible for controlling the stable output of electric energy to ensure the quality and reliability of electric power.

5. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The functions of the inverter are as follows: (1) The inverter converts the direct current from the photovoltaic module into stable alternating current (AC) through an electronic switching circuit and high-frequency conversion. The voltage, frequency and phase of the AC can match the home power grid to ensure that the power is smoothly supplied to home appliances. (2) The inverter also has the maximum power point tracking (MPPT) function, which can monitor the working status of the photovoltaic modules in real time and automatically adjust the output voltage and current to ensure that the system always operates at the best efficiency under different lighting conditions; (3) The inverter has a built-in fault detection system that can monitor the operating status of the photovoltaic system in real time, such as overload fault, short circuit fault, and overtemperature fault. When an abnormality occurs, the inverter will automatically cut off the power supply to avoid system damage or safety hazards; (4) The inverter is also equipped with a built-in communication module for collecting current data, voltage data, power data, and temperature data, and transmitting these data in real time to the remote monitoring system or user end. Through these data, users and remote control centers can understand the operating status of the photovoltaic system in real time and discover potential problems.

6. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The photovoltaic power generation module also includes a light sensor, a temperature sensor, a voltage and current sensor and a data acquisition module. The light sensor, temperature sensor and voltage and current sensor will summarize the collected data through the data acquisition module and upload it to the remote monitoring platform or control center through the communication module.

7. The household photovoltaic energy storage remote control system according to claim 6 is characterized in that: The communication module includes but is not limited to Wi-Fi, Bluetooth and ZigBee. The effects of the light sensor, temperature sensor and voltage and current sensor are as follows: (1) Light sensor: used to detect the intensity of solar radiation received by the photovoltaic module in real time, and to ensure the maximum power generation efficiency of the photovoltaic module by adjusting the working state of the inverter; (2) Temperature sensor: used to monitor the temperature of photovoltaic modules and inverters to prevent excessive temperature from causing performance degradation or equipment damage; (3) Voltage and current sensors: used to monitor the output voltage and current of photovoltaic modules in real time, ensure the stability of the power conversion process, and provide data support for maximum power point tracking (MPPT).

8. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The photovoltaic power generation module can transmit real-time data to the remote monitoring system through the integrated sensor and data acquisition module. The remote monitoring system can perform real-time monitoring, data analysis and fault diagnosis on the photovoltaic power generation system according to the transmitted data. The method is as follows: (1) Real-time data monitoring: Through the remote monitoring platform, users can view the power generation data, temperature data, voltage data, and current data of the photovoltaic power generation module in real time, and adjust the working mode of the photovoltaic system according to the data trend; (2) Fault diagnosis and early warning: By analyzing the collected data, the remote system can automatically identify potential faults in the system, such as the output power of the photovoltaic module is lower than the preset value, the battery voltage is abnormal, and issue an alarm in time; (3) Maximum Power Point Tracking (MPPT): By collecting light intensity, temperature, voltage and current data in real time, the system can automatically adjust the working state of the photovoltaic module to ensure that it is always at the optimal working point, thereby improving the overall power generation efficiency of the system.

9. The household photovoltaic energy storage remote control system according to claim 1 is characterized in that: The photovoltaic power generation module stores the collected photovoltaic power generation data in the cloud or local database, and provides a historical data query function for users to conduct long-term trend analysis or fault tracing. The photovoltaic power generation data includes but is not limited to daily power generation, power and efficiency, and the power output, battery power and fault records of each photovoltaic power generation module are stored in the database, supporting users to view historical records and understand the long-term operating status of the system.

10. The household photovoltaic energy storage remote control method according to claim 1, characterized in that: The following steps are involved: S1. Photovoltaic power generation data collection: The photovoltaic power generation module collects power generation data, light intensity data, system voltage data and current data in real time through a variety of sensors, and then transmits them to the remote monitoring center; S2. Energy storage status monitoring: The energy storage module monitors the battery power, health status, and charge and discharge efficiency information in real time to ensure that the energy storage equipment is in the best working condition; S3. Data upload and remote control: Upload device data to the cloud via Wi-Fi, 4G / 5G network. Users can view system data and perform remote operations through APP or WEB platform, such as adjusting charging / discharging power, turning on and off devices, and setting operating modes. S4. Intelligent optimization strategy: The data analysis module automatically optimizes the charging and discharging time and power of the energy storage battery based on historical data and user habits to ensure that the energy utilization of the system is maximized; S5. Fault detection and early warning: Detect the operating status of each component through sensors, analyze in real time whether there are any abnormalities, and push alarms to users through mobile phone APP when faults are found.

Images