Photovoltaic power station video monitoring system and autonomous controllable light storage integrated uninterruptible power supply method thereof

Abstract

A photovoltaic power station video monitoring system comprises a photovoltaic system, an energy storage system, a monitoring sampling system, a three-port conversion circuit, an equivalent load, an auxiliary power supply, a controller, an MPPT control algorithm, a PWM drive circuit and a large visual screen. An autonomous controllable light-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system comprises the following steps: determining a monitoring system model and a power supply mode, and further determining technical parameter requirements of an environment on a solar power supply photovoltaic module; a charging and discharging model of light-storage integrated uninterruptible power supply is established, a domestic controller is adopted to realize control of photovoltaic and energy storage autonomous switching, and an integrated learning algorithm is adopted to obtain an adjustment system load impedance matching model, so that a low-cost, high-efficiency, high-reliability and healthy operation management method of a power supply system is realized; according to the invention, uninterrupted power supply of the photovoltaic power station video monitoring system is realized, stable operation of the system is ensured, independent photovoltaic panels are used for power supply, dependence on an external power grid is reduced, and autonomy and stability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic power station energy storage monitoring, and in particular to a photovoltaic power station video monitoring system and an autonomous controllable photovoltaic-storage integrated uninterruptible power supply method thereof. Background Art

[0002] With the transformation of the global energy structure and the rapid development of renewable energy, photovoltaic power generation, as a clean and renewable energy form, has received widespread attention and application. As an important part of the photovoltaic power generation system, the stable operation of photovoltaic power stations is of great significance to ensuring energy supply. However, since photovoltaic power stations are usually built in sparsely populated areas with complex environments, equipment maintenance and personnel management face many challenges. Traditional video surveillance systems can only provide remote video image transmission, and the occurrence of abnormal situations requires manual investigation through monitoring images, which not only increases labor costs, but also when fire or theft occurs in the equipment, due to limited human resources and lack of energy, it is impossible to discover and feedback to the staff in time, which limits the further promotion and application of photovoltaic power station energy storage monitoring technology.

[0003] In order to solve the problems of unstable power supply and difficulty in timely detection of equipment failures when photovoltaic power station video monitoring systems are running in sparsely populated and complex environments, current research mainly seeks solutions from the aspects of system parameter design, energy management and control strategies. However, the power generation and consumption mechanism inside photovoltaic power stations is relatively complex and is affected by many factors, such as light intensity, temperature changes, battery performance and control strategies. Therefore, the effects of some of the measures currently proposed are not very ideal, and some solutions may also affect the stability and other performance of the system, and even affect the normal operation of the system.

[0004] For example, CN116317173A discloses an energy storage online monitoring system for photovoltaic projects, including photovoltaic power generation equipment, energy storage equipment, monitoring equipment, controller, inverter and large visualization screen, which obtains environmental information and equipment information of photovoltaic power generation equipment and energy storage equipment, calculates the power generation of photovoltaic power generation equipment and the charging and discharging of energy storage equipment; analyzes based on the equivalent circuit diagram, constructs a load balancing adjustment model for energy storage equipment, obtains the load condition of energy storage equipment during charging and discharging, and judges whether the energy storage equipment is in a load balancing state, which solves the existing photovoltaic energy storage monitoring system for the load condition of energy storage equipment The calculation of the load situation is not accurate enough, and it is impossible to dynamically dispatch and control the load situation of the energy storage equipment in real time. The utilization rate of the electric energy resources of the energy storage equipment is not high, which not only affects the energy storage efficiency, but also damages the life of the energy storage equipment and increases the operating cost of the photovoltaic energy storage power station. However, the analysis of its equivalent circuit diagram depends on accurate mathematical models and parameter settings, which may be affected by environmental changes, equipment aging and other factors during actual operation, resulting in a decrease in the accuracy of the analysis results. Secondly, the load balancing adjustment model cannot fully adapt to the changing load requirements when facing complex actual application scenarios, thereby affecting the response speed and stability of the system.

[0005] For example, CN205353649U discloses a photovoltaic power station centralized control management system and a photovoltaic power station intelligent monitoring device. The photovoltaic power station centralized control management system includes at least one photovoltaic power station intelligent monitoring device and a photovoltaic power station centralized control operation management server. The photovoltaic power station intelligent monitoring device includes a Zigbee collector, a wireless communication unit and an infrared collector. The Zigbee collector output is connected to the wireless communication unit, and the infrared collector output is connected to the wireless communication unit. The wireless communication units are both connected to the photovoltaic power station centralized control operation management server. When collecting information, two types of collectors, Zigbee collector and infrared collector, are used to collect information of corresponding equipment, which can meet the collection of equipment of different natures and avoid the situation where only one device is connected to the centralized control operation management server. The problem of limited device information collected by one collector is solved by realizing the information collection of all devices in the photovoltaic power station, which is conducive to the effective control of all devices by the photovoltaic power station; however, its reliance on two different collection technologies may increase the complexity and cost of the system, because each technology requires specialized hardware and possible different maintenance requirements; secondly, although Zigbee and infrared technologies have their own advantages, they may also be limited by environmental factors, such as Zigbee signals may be affected by physical obstacles, and the performance of infrared collectors may decline under severe weather conditions; finally, the reliability and stability of the system are highly dependent on the performance of the wireless communication unit, and any communication failure may result in data loss or delay, affecting the monitoring effect.

[0006] Therefore, future research needs to further optimize system design and improve the system's adaptability and robustness to better cope with environmental changes and equipment aging. At the same time, it is also necessary to explore more efficient and reliable information collection and communication technologies to ensure the safe operation and efficient management of photovoltaic power stations. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a photovoltaic power station video monitoring system and an autonomous and controllable photovoltaic and storage integrated uninterruptible power supply method, so as to achieve uninterruptible power supply to the photovoltaic power station video monitoring system, ensure the stable operation of the monitoring system, use independent photovoltaic panels to supply power, reduce dependence on the external power grid, and improve the autonomy and stability of the system.

[0008] In order to solve the above technical problems, the technical solution adopted by the present invention is: a photovoltaic power station video monitoring system, including a photovoltaic system, the output end of the photovoltaic system is connected to an equivalent load and a three-port conversion circuit, and the input end of the equivalent load is connected in parallel with the input end of the three-port conversion circuit, the output end of the photovoltaic system and the input end of the equivalent load are connected to a first monitoring and sampling system, the input end of the three-port conversion circuit is connected to a second monitoring and sampling system, the first monitoring and sampling system and the second monitoring and sampling system are both connected to a controller, the controller transmits the output signal to a PWM drive circuit after processing by an MPPT (Maximum Power Point Tracking) algorithm, and transmits the analyzed data to a visualization large screen, the PWM (Pulse Width Modulation) drive circuit is connected to the three-port conversion circuit, the output end of the three-port conversion circuit is connected to an energy storage system, and the energy storage system is connected to the first monitoring and sampling system and provides working power for it.

[0009] In a preferred solution, the photovoltaic system includes a digitally controlled power supply and a number of electronic components connected thereto. The photovoltaic system converts solar energy into electrical energy to ensure the continuity and stability of the power supply.

[0010] In a preferred solution, the energy storage system includes an energy storage battery pack and a fault monitoring circuit connected thereto, and the energy storage system ensures uninterrupted power supply when sunlight is insufficient or interrupted.

[0011] In a preferred solution, the first monitoring and sampling system includes an ADC (Analog to Digital Converter) circuit and a voltage and current sampler and an environmental information sensor connected thereto, and the second monitoring and sampling system includes an ADC circuit and a voltage and current sampler, an environmental information sensor and voltage sampling connected thereto. The first monitoring and sampling system is used to collect environmental information of the photovoltaic power generation system and the equivalent load, and the second monitoring and sampling system is used to collect environmental information of the energy storage system.

[0012] In a preferred solution, the three-port conversion circuit includes a bidirectional DC-DC (Direct Current-Direct Current) converter, and the three-port conversion circuit is used to realize the conversion and transmission of electric energy to ensure stable operation of the system.

[0013] In a preferred solution, the equivalent load includes a load and an inverter connected thereto, and the equivalent load is used to simulate actual load conditions to evaluate and test system performance, verify stability, protect equipment safety, assist in fault diagnosis and optimize system configuration.

[0014] In a preferred solution, the auxiliary power supply output is adapted to the DC voltage required by the relevant modules of the photovoltaic power station video monitoring system and provides power for them.

[0015] In the preferred solution, the data displayed on the large visualization screen is obtained through processing and analysis using big data and cloud computing technologies; these data include real-time monitoring data and performance prediction data, both of which can be used to evaluate the performance and efficiency of photovoltaic power stations and provide a reference for optimizing the design and management of photovoltaic power stations.

[0016] An autonomous controllable photovoltaic-storage integrated uninterruptible power supply method for a photovoltaic power station video monitoring system adopts a photovoltaic power station video monitoring system as described in any one of the above, and the specific steps of the method are: Step 1: Determine the monitoring system model and power supply method; Step 2: Determine the technical parameter requirements of the environment for solar-powered photovoltaic components.

[0017] In the preferred solution, the specific steps of Step 1 to determine the monitoring system model and power supply mode are: Step 1.1: Obtain the output voltage and output current of the photovoltaic system, the input voltage and input current of the energy storage system, and the input voltage and output current of the equivalent load; Step 1.2: When the output power of the photovoltaic system exceeds the preset output valley value, the first power supply scheme is adopted; when the output power of the photovoltaic system is lower than the preset output valley value, the second power supply scheme is adopted; Step 1.3: Analyze the obtained voltage and current data, use impedance matching technology, and achieve impedance matching between the system equivalent internal resistance and the equivalent load through a three-port variation circuit to achieve preliminary system matching impedance.

[0018] In the preferred scheme, the specific implementation plan of Step 1.1 is: obtain the output voltage and output current of the photovoltaic system, the input voltage and input current of the energy storage system, and the input voltage and input current of the equivalent load, calculate the equivalent internal resistance of the photovoltaic system and the energy storage system, and the equivalent load of the external circuit, and provide data for the preliminary realization of impedance matching. All the obtained data will be uploaded to the controller and network server using general packet radio service technology, Ethernet and other technologies, and the relevant data can be viewed on a large visual screen.

[0019] In the preferred solution, the specific implementation scheme of Step 1.2 is: The first power supply scheme is generally applicable when the solar radiation is relatively large during the period, and the photovoltaic system can supply power to the equivalent load and the energy storage system at the same time, that is, the equivalent load is only powered by the photovoltaic system, and the energy storage system equipment is in a charging state. The second power supply scheme is generally applicable when the solar radiation is relatively small or zero during the period, and the photovoltaic system cannot supply power to the equivalent load and the energy storage system at the same time. At this time, the load is powered not only by photovoltaic batteries but also by the energy storage system, and sometimes only by the energy storage system. At this time, the energy storage system is in a discharging state. The first power supply scheme and the second power supply scheme are switched based on the collected data of solar radiation after data analysis by the controller, so that this system has the characteristics of uninterrupted power supply and realizes the integration of light and storage.

[0020] In the preferred solution, the specific implementation scheme of Step 1.3 is: The maximum power output is achieved by using a scheme that uses the system internal resistance to be equal to the external circuit internal resistance. In the first power supply scheme, the equivalent load resistance is equal to the parallel impedance of the equivalent internal resistance of the photovoltaic system and the equivalent internal resistance of the energy storage system. In the second power supply scheme, the equivalent load resistance is equal to the equivalent internal resistance impedance of the energy storage system.

[0021] In the preferred solution, the specific steps of Step 2 for determining the technical parameter requirements of the environment for the solar-powered photovoltaic module are: Step 2.1: Monitor the daily environmental information such as sunshine intensity, wind speed, surface temperature of the energy storage battery pack, and ambient temperature, and collect equipment information such as the remaining power of the energy storage system equipment to calculate the daily power generation, total power generation, and the required charging and discharging amount of the energy storage system; Step 2.2: Based on the three-port conversion circuit analysis, the optimal matching impedance of the system is obtained by using the load impedance matching model, MPPT control algorithm and optimal output power calculation.

[0022] In the preferred embodiment, the specific implementation scheme of Step 2.1 is: Under the current environmental conditions, the sensor module is used to obtain the initial environmental data of solar radiation and ambient temperature in this time period, and the power generation of the photovoltaic system in this period is calculated. Then, the remaining power of the energy storage system is collected to adapt to the required charging and discharging amounts. All data is transmitted to the controller for data aggregation, curve generation, data analysis, etc. Finally, the large visual screen displays the current relevant real-time and optimized data.

[0023] In the preferred solution, the specific implementation scheme of Step 2.2 is: The load impedance matching model is used to realize the solar power supply scheme with the best power generation efficiency, and the MPPT algorithm is used to control the controllable switching devices to realize the control of the maximum output power. The system load impedance matching model is adjusted. The model adopts an integrated learning algorithm. According to the environmental information of the photovoltaic system, the system equivalent internal resistance information, and the preliminary calculated power generation, energy storage system charging and discharging, the established integrated learning model is trained to obtain the optimal matching scheme of the system's optimal power generation, energy storage system charging and system internal resistance under different environmental conditions.

[0024] In a preferred solution, the load impedance matching model of the adjustment system in the specific implementation scheme of Step 2.2 is obtained by using an integrated learning algorithm, wherein the specific steps of the integrated learning algorithm are: Step 2.2.1: Analyze the environmental information and equipment information of the photovoltaic power generation system to obtain information characteristic values. At the same time, the environmental information and equipment information of the photovoltaic power generation system are input into the first individual learner module in the integrated learning model. The information characteristic values ​​of the photovoltaic power generation system are output by the first individual learner module, and the input and output data are interactively processed through the combination module in the integrated learning model, thereby obtaining the photovoltaic system operation status analysis model; Step 2.2.2: Analyze the environmental information and equipment information of the energy storage system to obtain information characteristic values. At the same time, input the environmental information and equipment information of the energy storage system into the second individual learner module in the integrated learning model. The energy storage system information characteristic values ​​are output by the second individual learner module. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the energy storage system operation status analysis model. Step 2.2.3: Input the data of the first and second individual learner modules and the charge and discharge amounts of the energy storage system into the third individual learner module in the integrated learning model. The load conditions of the energy storage system are output by the third individual learner module. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the system load impedance matching model.

[0025] The photovoltaic power station video monitoring system and the autonomous controllable photovoltaic storage integrated uninterruptible power supply method provided by the present invention have the following beneficial effects: 1. The method of the present invention can adjust the power supply mode according to the environment, make full use of environmental information to adjust the power supply mode, charge the energy storage system when the sunlight is strong, and discharge the load by the energy storage system when the sunlight is not strong, so as to realize uninterrupted power supply to the load. At the same time, in the energy transmission process, the MPPT algorithm and impedance matching method are used to realize the optimal energy transmission process; 2. The present invention uses the monitoring system to collect data through the host computer software, which can view the operating status and various data of the equipment in real time, and can call historical data and statistical historical power generation data and meteorological environment data in real time, so that monitoring personnel can realize cluster monitoring and management of equipment without checking the equipment one by one, and at the same time perform self-analysis, curve generation and other operations on the collected data; 3. The present invention provides an autonomous controllable photovoltaic and energy storage integrated uninterrupted power supply method for a photovoltaic power station video monitoring system, which uploads the collected data to a network server or a local computer by means of GPRS (General Packet Radio Service), Ethernet, etc., and proposes a low-cost, high-efficiency, high-reliability healthy operation and management method for the power supply system based on the wireless Internet of Things and through big data analysis; 4. The present invention proposes an autonomous controllable photovoltaic storage integrated uninterruptible power supply method for a photovoltaic power station video monitoring system. The load impedance matching model of the adjustment system is obtained by using an integrated learning algorithm. The integrated learning algorithm completes the learning task by constructing and combining multiple learners. These learners are called base learners or weak learners. It improves the overall prediction performance by combining the prediction results of multiple models. It has the advantages of improving prediction performance, reducing overfitting risks and increasing model stability. 5. The present invention integrates an intelligent fault diagnosis system. With advanced machine learning algorithms, the system can analyze equipment operation data in real time and accurately and quickly identify potential faults. This feature not only significantly enhances the safety and stability of photovoltaic power plants, but also realizes immediate response and processing of faults by automatically triggering early warning mechanisms. In addition, it effectively reduces dependence on manual intervention, greatly improves operation and maintenance efficiency, and demonstrates significant advantages enabled by technology. 6. The present invention introduces an advanced energy management system, which optimizes the cleaning cycle and angle adjustment of photovoltaic panels through predictive maintenance strategies, maximizes the use of solar energy resources, and combines intelligent scheduling algorithms to balance the output of the photovoltaic storage system and load demand, ensuring the continuity and economy of power supply, and further promoting the transformation of photovoltaic power stations towards intelligence and greenness. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention will be further described below in conjunction with the accompanying drawings and implementation examples: Figure 1 It is a structural schematic diagram of a photovoltaic power station video monitoring system of the present invention; Figure 2 This is a flow chart of an autonomous controllable photovoltaic-storage integrated uninterruptible power supply method for a photovoltaic power station video monitoring system of the present invention; In the figure: photovoltaic system 1, energy storage system 2, first monitoring and sampling system 3, three-port conversion circuit 4, equivalent load 5, auxiliary power supply 6, controller 7, MPPT control algorithm 8, PWM drive circuit 9, visualization large screen 10, electronic components 11, CNC power supply 12, energy storage battery pack 13, fault monitoring circuit 14, voltage and current sampler 15, ADC circuit 16, environmental information sensor 17, bidirectional DC-DC converter 18, load 19, inverter 20, second monitoring and sampling system 21. DETAILED DESCRIPTION

[0027] Example 1 like Figure 1 As shown, a photovoltaic power station video monitoring system includes a photovoltaic system 1, the output end of the photovoltaic system 1 is connected to an equivalent load 5 and a three-port conversion circuit 4, and the input end of the equivalent load 5 is connected in parallel with the input end of the three-port conversion circuit 4, the output end of the photovoltaic system 1 and the input end of the equivalent load 5 are connected to a first monitoring and sampling system 3, the input end of the three-port conversion circuit 4 is connected to a second monitoring and sampling system 21, the first monitoring and sampling system 3 and the second monitoring and sampling system 21 are both connected to a controller 7, the controller 7 transmits the output signal to a PWM drive circuit 9 after processing by an MPPT algorithm 8, and transmits the analyzed data to a visualization large screen 10, the PWM drive circuit 9 is connected to the three-port conversion circuit 4, the output end of the three-port conversion circuit 4 is connected to an energy storage system 14, and the energy storage system 14 is connected to the first monitoring and sampling system 3 and provides a working power supply for it.

[0028] In this embodiment, the photovoltaic system 1 includes a digitally controlled power supply 12 and a plurality of electronic components 11 connected thereto. The photovoltaic system 1 converts solar energy into electrical energy to ensure the continuity and stability of power supply.

[0029] Furthermore, the energy storage system 2 includes an energy storage battery group 13 and a fault monitoring circuit 14 connected thereto, and the energy storage system 2 ensures uninterrupted power supply when the sunshine is insufficient or interrupted.

[0030] Furthermore, the first monitoring and sampling system 3 includes an ADC circuit 16 and a voltage and current sampler 15 and an environmental information sensor 17 connected thereto, and the second monitoring and sampling system 21 includes an ADC circuit 16 and a voltage and current sampler 15, an environmental information sensor 17 and voltage sampling connected thereto. The first monitoring and sampling system 3 is used to collect environmental information of the photovoltaic power generation system 1 and the equivalent load 5, and the second monitoring and sampling system 21 is used to collect environmental information of the energy storage system 2.

[0031] Furthermore, the three-port conversion circuit 4 includes a bidirectional DC-DC converter 18, and the three-port conversion circuit 4 is used to realize the conversion and transmission of electric energy to ensure stable operation of the system.

[0032] Furthermore, the equivalent load 5 includes a load 19 and an inverter 20 connected thereto, and the equivalent load 5 is used to simulate actual load conditions to evaluate and test system performance, verify stability, protect equipment safety, assist in fault diagnosis and optimize system configuration.

[0033] Furthermore, the auxiliary power supply 6 outputs a DC voltage adapted to the modules required by the photovoltaic power station video monitoring system and provides power for the modules.

[0034] Furthermore, the data displayed on the visualization large screen 10 is obtained through processing and analysis using big data and cloud computing technologies; these data include real-time monitoring data and performance prediction data, both of which can be used to evaluate the performance and efficiency of photovoltaic power stations and provide a reference for optimizing the design and management of photovoltaic power stations.

[0035] Example 2 like Figure 2 As shown, a method for autonomous controllable photovoltaic and energy storage integrated uninterruptible power supply of a photovoltaic power station video monitoring system is to use a photovoltaic power station video monitoring system as described in any one of the above, and the specific steps of the method are: Step 1: Determine the monitoring system model and power supply method; Step 2: Determine the technical parameter requirements of the environment for solar-powered photovoltaic components.

[0036] In this embodiment, the specific steps of Step 1 to determine the monitoring system model and power supply mode are: Step 1.1: Obtain the output voltage and output current of the photovoltaic system 1, the input voltage and input current of the energy storage system 2, and the input voltage and output current of the equivalent load 5; Step 1.2: When the output power of the photovoltaic system 1 exceeds the preset output valley value, the first power supply scheme is adopted; when the output power of the photovoltaic system 1 is lower than the preset output valley value, the second power supply scheme is adopted; Step 1.3: Analyze the obtained voltage and current data, adopt impedance matching technology, and achieve impedance matching between the system equivalent internal resistance and the equivalent load 5 through the three-port change circuit 4 to achieve preliminary system matching impedance.

[0037] Furthermore, the specific implementation plan of Step 1.1 is: obtaining the output voltage and output current of the photovoltaic system 1, the input voltage and input current of the energy storage system 2, and the input voltage and input current of the equivalent load 5, calculating the equivalent internal resistance of the photovoltaic system 1 and the energy storage system 2, and the external circuit equivalent load 5, providing data for preliminary impedance matching, and all the obtained data will be uploaded to the controller 7 and the network server using general packet radio service technology, Ethernet and other technologies, and the relevant data can be viewed on the visualization large screen 10.

[0038] Furthermore, the specific implementation plan of Step 1.2 is: The first power supply scheme is generally applicable when the solar radiation is relatively large during the period, and the photovoltaic system 1 can supply power to the equivalent load 5 and the energy storage system 2 at the same time, that is, the equivalent load 5 is only powered by the photovoltaic system 1, and the energy storage device is in a charging state. The second power supply scheme is generally applicable when the solar radiation is relatively small or zero during the period, and the photovoltaic system 1 cannot supply power to the equivalent load 5 and the energy storage system 2 at the same time. At this time, the load is not only powered by the photovoltaic battery but also by the energy storage system 2, and sometimes only by the energy storage system 2. At this time, the energy storage system 2 is in a discharging state. The first power supply scheme and the second power supply scheme are switched according to the collected data of the solar radiation after data analysis by the controller 7, so that this system has the characteristics of uninterrupted power supply and realizes the integration of light and storage.

[0039] Furthermore, the specific implementation plan of Step 1.3 is: The maximum power output is achieved by using a scheme in which the system internal resistance is equal to the external circuit internal resistance. In the first power supply scheme, the resistance of the equivalent load 5 is equal to the parallel impedance of the equivalent internal resistance of the photovoltaic system 1 and the equivalent internal resistance of the energy storage system 2. In the second power supply scheme, the resistance of the equivalent load 5 is equal to the equivalent internal resistance impedance of the energy storage system 2.

[0040] Furthermore, the specific steps of Step 2 for determining the technical parameter requirements of the environment for the solar-powered photovoltaic module are: Step 2.1: Monitor the daily environmental information such as sunshine intensity, wind speed, surface temperature of the energy storage battery group 13, and ambient temperature, and collect equipment information such as the remaining power of the energy storage system 2, and calculate the daily power generation, total power generation, and the required charging and discharging amount of the energy storage system 2; Step 2.2: Based on the analysis of the three-port conversion circuit 4, the optimal matching impedance of the system is obtained by using the load impedance matching model, the MPPT control algorithm 8 and the optimal output power calculation.

[0041] Furthermore, the specific implementation plan of Step 2.1 is: Under the current environmental conditions, the sensor module is used to obtain the initial environmental data of solar radiation and ambient temperature in this time period, and the power generation of the photovoltaic system 1 in this period is calculated. Then, the remaining power of the energy storage system 2 is collected to adapt the required charging and discharging amounts. All data is transmitted to the controller 7 for data aggregation, curve generation, data analysis, etc. Finally, the visualization large screen 10 displays the current relevant real-time and optimized data.

[0042] Furthermore, the specific implementation plan of Step 2.2 is: The load 19 impedance matching model is used to realize the solar power supply scheme with the best power generation efficiency, and the MPPT algorithm 8 is used to control the controllable switching devices to realize the control of the maximum output power. The system load impedance matching model is adjusted. The model adopts an integrated learning algorithm. According to the environmental information of the photovoltaic system 1 and the system equivalent internal resistance information, as well as the preliminary calculated power generation, the charging and discharging amount of the energy storage system 2, the established integrated learning model is trained to obtain the optimal power generation of the system, the charging amount of the energy storage system 2 and the optimal matching scheme of the system internal resistance under different environmental conditions.

[0043] Furthermore, the load impedance matching model of the adjustment system in the specific implementation scheme of Step 2.2 is obtained by using an integrated learning algorithm, wherein the specific steps of the integrated learning algorithm are: Step 2.2.1: Analyze the environmental information and equipment information of the photovoltaic power generation system 1 to obtain information characteristic values. At the same time, the environmental information and equipment information of the photovoltaic power generation system 1 are input into the first individual learner module in the integrated learning model. The information characteristic values ​​of the photovoltaic power generation system 1 are output by the first individual learner module, and the input and output data are interactively processed through the combination module in the integrated learning model, thereby obtaining the operation status analysis model of the photovoltaic system 1; Step 2.2.2: Analyze the environmental information and equipment information of energy storage system 2 to obtain information characteristic values. At the same time, input the environmental information and equipment information of energy storage system 2 into the second individual learner module in the integrated learning model. The information characteristic values ​​of energy storage system 2 are output by the second individual learner module. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the operation status analysis model of energy storage system 2. Step 2.2.3: Input the data of the first and second individual learner modules and the charge and discharge amounts of the energy storage system 2 into the third individual learner module in the integrated learning model. The load condition of the energy storage system 2 is output by the third individual learner module; and the input and output data are interactively processed through the combination module in the integrated learning model to obtain the system load impedance matching model.

[0044] Example 3 In another preferred embodiment, based on embodiments 1 and 2, Figure 1 As shown, a photovoltaic power station video monitoring system includes a photovoltaic system 1 and an energy storage system 2. The energy storage system 2 is connected in series with a three-port conversion circuit 4. The photovoltaic system 1 is connected in parallel with a circuit in which the energy storage system 2 and the three-port conversion circuit 4 are connected in series and an equivalent load 5. A monitoring sampling system 3 collects environmental information such as output voltage and current, solar radiation, temperature and wind speed from the photovoltaic system 1, collects and calculates equipment information such as input voltage and current, charging amount and discharging amount of the energy storage system 2, and collects input voltage and current at the input end of the equivalent load. An auxiliary power supply 6 provides power supply for the sensor device and the microcontroller. Each energy storage system is equipped with a fault monitoring circuit. A controller 7 uses a domestic controller of PXle-76G1, an MPPT control algorithm 8 and an impedance matching technology to provide a parameter range for preliminarily realizing maximum power transmission, and a PWM drive circuit 9 provides a drive power supply for the three-port conversion circuit 4. All monitored data are projected on a visualization large screen 10 after being analyzed by big data of the controller 7.

[0045] In this embodiment, when the solar radiation intensity is high, the energy storage system 2 can be charged by obtaining the charging current from the photovoltaic system 1. The charging current value in the charging process strictly meets the required value of the maximum power transmission. The charging current value is obtained by the controller 7 after data analysis and then the data is transmitted to the PWM drive circuit to change the corresponding PWM waveform and thus change the output current value.

[0046] Furthermore, the photovoltaic system 1 is composed of a digitally controlled power supply 12 and a plurality of electronic components 11; the photovoltaic system 1 efficiently converts solar energy into electrical energy, thereby ensuring the continuity and stability of the power supply.

[0047] Furthermore, the energy storage system 2 is composed of an energy storage battery group 13 and a fault monitoring circuit 14; the energy storage system 2 ensures that uninterrupted power supply can be achieved when the sunlight is insufficient or interrupted.

[0048] Furthermore, the energy storage system 2 is composed of an energy storage battery group 13 and a fault monitoring circuit 14. The fault monitoring circuit 14 is mainly used to prevent the charging current of the energy storage battery group 13 from being too large. The circuit design idea is to use the cathode voltage of the parallel diode as the working voltage of the monitoring circuit and monitor the amplitude of the anode voltage of the parallel diode.

[0049] Furthermore, the first monitoring and sampling system 3 is composed of a voltage and current sampler 15, an ADC circuit 16 and an environmental information sensor 17; the second monitoring and sampling system 21 is composed of an ADC circuit 16, a voltage and current sampler 15, an environmental information sensor 17 and voltage sampling. The first monitoring and sampling system 3 is used to collect environmental information of the photovoltaic power generation system 1 and the equivalent load 5, and the second monitoring and sampling system 21 is used to collect environmental information of the energy storage system 2.

[0050] Furthermore, the first monitoring and sampling system 3 and the second monitoring and sampling system 21 mainly monitor the following contents: equipment status, equipment alarms, uploading of various parameters in the equipment, etc., collecting the output current and output voltage of the photovoltaic system 1, calculating the instantaneous power, monitoring the system environmental conditions (such as solar radiation and temperature at that time), and other environmental information, and equipment information such as the charge and discharge amount of the energy storage battery group in the energy storage system 2.

[0051] Furthermore, the three-port conversion circuit 4 is composed of a bidirectional DC-DC converter 18; the three-port conversion circuit 4 can realize efficient conversion and transmission of electric energy, ensuring stable operation of the system.

[0052] Furthermore, the three-port conversion circuit 4 is composed of a bidirectional DC-DC converter 18, and the bidirectional DC-DC converter 18 uses four semiconductor field effect transistors. By controlling the four semiconductor field effect transistors separately, the charging and discharging of the energy storage system 2 can be freely controlled.

[0053] Furthermore, the equivalent load 5 is composed of a load 19 and an inverter 20; the main function of the equivalent load 5 in the photovoltaic power station video monitoring system is to simulate actual load conditions to evaluate and test system performance, verify stability, protect equipment safety, assist fault diagnosis and optimize system configuration.

[0054] Furthermore, the auxiliary power supply 6 can output a DC voltage adapted to the modules required by the relevant modules of the photovoltaic power station video monitoring system and provide power for them.

[0055] Furthermore, the data displayed on the visualization large screen 10 is obtained through processing and analysis using big data and cloud computing technologies; these data include real-time monitoring data and performance prediction data, both of which can be used to evaluate the performance and efficiency of photovoltaic power stations and provide a reference for optimizing the design and management of photovoltaic power stations.

[0056] Furthermore, the main principle of the first monitoring and sampling system 3 and the second monitoring and sampling system 21 is to acquire, upload, transform and output data as the main contents. The parameters of the main components of the system are collected through the first monitoring and sampling system 3 and the second monitoring and sampling system 21. The collected data are uploaded to the visualization large screen 10 in real time through data processing. The various operating states and data of the equipment can be viewed in real time through the visualization large screen 10. At the same time, historical data and statistical historical power generation data and meteorological environment data can be called in real time.

[0057] Example 4 In another preferred embodiment, based on embodiments 1, 2, and 3, an autonomous controllable photovoltaic-storage integrated uninterruptible power supply method for a photovoltaic power station video monitoring system is provided. Figure 2 As shown, a photovoltaic power station video monitoring system according to any one of the above-mentioned embodiments 1 is used, and the specific steps of the method are: Step 1: Determine the monitoring system model and power supply method; Step 2: Determine the technical parameter requirements of the environment for solar-powered photovoltaic components.

[0058] In this embodiment, the monitoring system model and power supply method have the following specific steps: Step 1.1: Obtain the output voltage and output current of the photovoltaic system 1, the input voltage and input current of the energy storage system, and the input voltage and output current of the equivalent load; Step 1.2: When the output power of the photovoltaic system 1 exceeds the preset output valley value, the first power supply scheme is adopted; when the output power of the photovoltaic system 1 is lower than the preset output valley value, the second power supply scheme is adopted; Step 1.3: Analyze the obtained voltage and current data, adopt impedance matching technology, and achieve impedance matching between the system equivalent internal resistance and the equivalent load 5 through the three-port change circuit 4 to achieve preliminary system matching impedance.

[0059] Furthermore, the specific implementation plan of Step 1.1 is: obtain the output voltage and output current of the photovoltaic system 1, the input voltage and input current of the energy storage system 2, and the input voltage and input current of the equivalent load 5, calculate the equivalent internal resistance of the photovoltaic system 1, the equivalent internal resistance of the energy storage system 2, and the external circuit equivalent load 5, provide data for preliminary impedance matching, and all the obtained data will be uploaded to the controller 7 and the network server using general packet radio service technology, Ethernet and other technologies, and the relevant data can be viewed on the visualization large screen 10.

[0060] Furthermore, the specific implementation plan of Step 1.2 is: The first power supply scheme is generally applicable when the solar radiation amount is relatively large during the period, and the photovoltaic system 1 can meet the power supply needs of the equivalent load 5 and the energy storage system 2 at the same time, that is, the equivalent load 5 is only powered by the photovoltaic system 1, and the energy storage system 2 is in a charging state. The second power supply scheme is generally applicable when the solar radiation amount is relatively small or zero during the period, and the photovoltaic system 1 cannot meet the power supply needs of the equivalent load 5 and the energy storage system 2 at the same time. At this time, the load is not only powered by the photovoltaic battery but also by the energy storage system 2, and sometimes only by the energy storage system 2. At this time, the energy storage system 2 is in a discharging state. The first power supply scheme and the second power supply scheme are switched according to the collected data of the solar radiation amount after data analysis by the controller 7. Therefore, this system has the characteristics of uninterrupted power supply and realizes the integration of light and storage.

[0061] Furthermore, the specific implementation plan of Step 1.3 is: The maximum power output is achieved by using a scheme in which the system internal resistance is equal to the external circuit internal resistance. In the first power supply scheme, the resistance of the equivalent load 5 is equal to the parallel impedance of the equivalent internal resistance of the photovoltaic system 1 and the equivalent internal resistance of the energy storage system 2. In the second power supply scheme, the resistance of the equivalent load 5 is equal to the equivalent internal resistance impedance of the energy storage system 2.

[0062] Furthermore, the specific steps of Step 2 for determining the technical parameter requirements of the environment for the solar-powered photovoltaic module are: Step 2.1: Monitor the daily environmental information such as sunshine intensity, wind speed, surface temperature of the energy storage battery group 13, and ambient temperature, and collect equipment information such as the remaining power of the energy storage system 2, and calculate the daily power generation, total power generation, and the required charging and discharging amount of the energy storage system 2; Step 2.2: Based on the analysis of the three-port conversion circuit 4, the optimal matching impedance of the system is obtained by using the load impedance matching model, the MPPT control algorithm 8 and the optimal output power calculation.

[0063] Furthermore, the specific implementation plan of Step 2.1 is: Under the current environmental conditions, the sensor module is used to obtain the initial environmental data of solar radiation and ambient temperature in this time period, and the power generation of the photovoltaic system 1 in this period is calculated. Then, the remaining power of the energy storage system 2 is collected to adapt the required charging and discharging amounts. All data is transmitted to the controller 7 for data aggregation, curve generation, data analysis, etc. Finally, the visualization large screen 10 displays the current relevant real-time and optimized data.

[0064] Furthermore, the specific implementation plan of Step 2.2 is: The load 19 impedance matching model is used to realize the solar power supply scheme with the best power generation efficiency, and the MPPT algorithm 8 is used to control the controllable switching devices to realize the control of the maximum output power. The system load impedance matching model is adjusted. The model adopts an integrated learning algorithm. According to the environmental information of the photovoltaic system 1 and the system equivalent internal resistance information, as well as the preliminary calculated power generation, the charging and discharging amount of the energy storage system 2, the established integrated learning model is trained to obtain the optimal power generation of the system, the charging amount of the energy storage device and the optimal matching scheme of the system internal resistance under different environmental conditions.

[0065] Furthermore, the load impedance matching model of the adjustment system in the specific implementation scheme of Step 2.2 is obtained by using an integrated learning algorithm, wherein the specific steps of the integrated learning algorithm are: Step 2.2.1 Analyze the environmental information and equipment information of the photovoltaic power generation system 1 equipment to obtain information characteristic values. At the same time, the environmental information and equipment information of the photovoltaic power generation system 1 equipment are input into the first individual learner module in the integrated learning model. The photovoltaic power generation system 1 equipment information characteristic values ​​are output by the first individual learner module in the integrated learning model. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the photovoltaic system 1 operation status analysis model. The model function of the photovoltaic power generation system 1 equipment operation status analysis model is: , is the output of the first individual learner module in the ensemble learning model, is the combination module in the integrated learning model, Output of the first individual learner module in the ensemble learning model; Step 2.2.2 Analyze the environmental information and equipment information of the energy storage system 2 equipment to obtain information characteristic values. At the same time, input the environmental information and equipment information of the energy storage system 2 equipment into the second individual learner module in the integrated learning model. The equipment information characteristic values ​​of the energy storage system 2 are output by the second individual learner module in the integrated learning model. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the energy storage system 2 operation status analysis model. The model function of the energy storage system 2 operation status analysis model is: , is the output of the second individual learner module in the ensemble learning model, is the combination module in the integrated learning model, Output of the second individual learner module in the ensemble learning model; Step 2.2.3 Input the data of the first and second individual learner modules and the charge and discharge amounts of the energy storage system 2 device into the third individual learner module in the integrated learning model. The load condition of the energy storage system 2 device is output by the third individual learner module in the integrated learning model. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the system load impedance matching model. The model function of the system load impedance matching model is: , is the output of the third individual learner module in the ensemble learning model, is the combination module in the integrated learning model, It is the output of the third individual learner module in the ensemble learning model.

[0066] Practice has proved that the implementation of this embodiment realizes uninterrupted power supply to the photovoltaic power station video monitoring system, ensures the stable operation of the monitoring system, uses independent photovoltaic panels for power supply, reduces dependence on the external power grid, and improves the autonomy and stability of the system; at the same time, the solution also has high economic benefits, reduces monitoring blind spots caused by power outages, enhances the safety management level of the power station, and lays a solid foundation for the sustainable development of the photovoltaic power station.

[0067] In the preferred solution, the photovoltaic system 1 includes a digitally controlled power supply 12 and a number of electronic components 11 connected thereto. The photovoltaic system 1 converts solar energy into electrical energy to ensure the continuity and stability of power supply. The above settings not only improve the energy utilization efficiency, but also monitor the operating status in real time through the intelligent monitoring system, promptly discover and handle potential faults, thereby ensuring the long-term stable operation of the photovoltaic system 1 and setting an example for the application of clean energy.

[0068] In the preferred solution, the energy storage system 2 includes an energy storage battery group 13 and a fault monitoring circuit 14 connected thereto. The energy storage system 2 ensures uninterrupted power supply when sunlight is insufficient or interrupted. The above arrangement not only improves energy utilization efficiency, but also enhances the reliability and stability of the system. The fault monitoring circuit 14 can monitor the health status of the energy storage battery group 13 in real time, and promptly warn of potential problems to ensure safe and worry-free power supply.

[0069] In the preferred scheme, the energy storage system 2 is composed of an energy storage battery group 13 and a fault monitoring circuit 14. The fault monitoring circuit 14 is mainly used to prevent the charging current of the energy storage battery group 13 from being too large. The circuit design idea is to use the cathode voltage of the parallel diode as the working voltage of the monitoring circuit and monitor the amplitude of the anode voltage of the parallel diode; the above setting ensures that during the charging process, once the current exceeds the preset threshold, the fault monitoring circuit 14 can respond quickly, and effectively prevent the energy storage battery group 13 from being overcharged by adjusting the working state of the diode or triggering the protection mechanism, thereby ensuring the safe and stable operation of the energy storage system.

[0070] In the preferred scheme, the first monitoring and sampling system 3 includes an ADC circuit 16 and a voltage and current sampler 15 and an environmental information sensor 17 connected thereto; the second monitoring and sampling system 21 includes an ADC circuit 16 and a voltage and current sampler 15, an environmental information sensor 17 and voltage sampling connected thereto; the first monitoring and sampling system 3 is used to collect environmental information of the photovoltaic power generation system 1 and the equivalent load 5; the second monitoring and sampling system 21 is used to collect environmental information of the energy storage system 2; the above settings can ensure accurate monitoring of the environment in which the photovoltaic power generation system 1 equipment and the energy storage system 2 equipment are located, including real-time collection of voltage, current and environmental parameters, and provide key data support for the stable operation and efficient management of the system.

[0071] In the preferred scheme, the first monitoring and sampling system 3 and the second monitoring and sampling system 21 mainly monitor the following contents: equipment status, equipment alarms, uploading of various parameters in the equipment, etc.; the above settings collect the output current and output voltage of the photovoltaic system 1, calculate the instantaneous power, monitor the system environmental conditions (such as solar radiation and temperature at that time), and other environmental information, and the charging and discharging amount of the energy storage battery group in the energy storage system 2, and other equipment information.

[0072] In the preferred scheme, the main principle of the first monitoring and sampling system 3 and the second monitoring and sampling system 21 is to obtain, upload, transform and output data as the main content. The parameters of the main components of the system can be collected through the first monitoring and sampling system 3 and the second monitoring and sampling system 21. The collected data can be uploaded to the visualization large screen 10 in real time through data processing, and then the various operating states and data of the equipment can be viewed in real time through the visualization large screen 10. At the same time, historical data and statistical historical power generation data and meteorological environment data can be called in real time; the above settings can greatly improve the operation and maintenance efficiency and decision-making accuracy, and ensure the stable operation of the system. In addition, the system also supports data early warning function. Once abnormal data is detected, an alarm will be triggered immediately to provide strong support for timely maintenance.

[0073] In the preferred solution, the three-port conversion circuit 4 includes a bidirectional DC-DC converter 18, which is used to realize the conversion and transmission of electric energy to ensure the stable operation of the system; the above setting realizes the flexible allocation of electric energy by accurately controlling the working state of the bidirectional DC-DC converter 18, which not only improves the energy utilization efficiency, but also enhances the response speed and stability of the system, providing a solid guarantee for the efficient operation of the entire system.

[0074] In the preferred solution, the three-port conversion circuit 4 is composed of a bidirectional DC-DC converter 18, which uses four semiconductor field effect transistors. By controlling the four semiconductor field effect transistors separately, the charging and discharging of the energy storage system 2 can be freely controlled. The above settings can efficiently and flexibly manage the energy flow and ensure that the energy storage system 2 can work stably under different working conditions. At the same time, this design simplifies the circuit structure and improves the reliability and maintenance convenience of the system.

[0075] In the preferred solution, the equivalent load 5 includes a load 19 and an inverter 20 connected thereto. The equivalent load 5 is used to simulate actual load conditions to evaluate and test system performance, verify stability, protect equipment safety, assist in fault diagnosis and optimize system configuration. The above settings ensure the efficient and stable operation of the photovoltaic power station under various working conditions. By accurately simulating the real load environment, it not only improves the system's ability to cope with complex situations, but also promotes the intelligent and refined development of power station operation and maintenance.

[0076] In the preferred solution, the auxiliary power supply 6 outputs a DC voltage adapted to the relevant modules of the photovoltaic power station video surveillance system and provides power for them; the above setting not only ensures the stable operation of the video surveillance system, but also improves the overall energy efficiency of the system. Through precise voltage matching, it reduces the loss in the energy conversion process, further promoting the green and efficient operation of the photovoltaic power station.

[0077] In the preferred solution, the data displayed on the visualization large screen 10 is obtained through processing and analysis using big data and cloud computing technologies; these data include real-time monitoring data and performance prediction data, both of which can be used to evaluate the performance and efficiency of photovoltaic power stations and provide a reference for optimizing the design and management of photovoltaic power stations; the above settings ensure that the photovoltaic power station operation and maintenance team can intuitively and quickly grasp the operating status of the power station, discover potential problems in a timely manner, and guide the formulation of subsequent operation and maintenance strategies through data analysis, thereby further improving the overall operational efficiency and economic benefits of the photovoltaic power station.

[0078] In summary, the present invention provides a photovoltaic power station video monitoring system and an autonomous and controllable photovoltaic and storage integrated uninterruptible power supply method, constructs a video monitoring solar power supply layout model, designs a transmission photovoltaic and storage integrated uninterruptible charging and discharging model that can achieve maximum power, and has targeted photovoltaic and storage autonomous switching in different environments. At the same time, it is proposed to perform big data analysis on the monitoring and calculation data based on the wireless Internet of Things, and transmit the data to a large visualization screen 10, which is convenient for the staff to realize intelligent monitoring. At the same time, in order to achieve maximum power output, the design first adopts the MPPT algorithm 8 and impedance matching technology to obtain a system load parameter range close to the optimal range, and then uses a deep learning algorithm to obtain a more accurate system load impedance matching model, which speeds up the speed of parameter determination and improves the overall autonomy and stability of the system. This system and method not only realize the efficient utilization of energy, but also through intelligent analysis and optimization, provides solid technical support for the long-term stable operation and economic benefit maximization of photovoltaic power stations.

Claims

1. A photovoltaic power station video monitoring system, characterized in that: The invention comprises a photovoltaic system (1), wherein the output end of the photovoltaic system (1) is connected to an equivalent load (5) and a three-port conversion circuit (4), and the input end of the equivalent load (5) is connected in parallel to the input end of the three-port conversion circuit (4). The output end of the photovoltaic system (1) and the input end of the equivalent load (5) are connected to a first monitoring sampling system (3), and the input end of the three-port conversion circuit (4) is connected to a second monitoring sampling system (21). The first monitoring sampling system (3) and the second monitoring sampling system (21) are both connected to a controller (7). The controller (7) transmits the output signal to a PWM drive circuit (9) after processing it through an MPPT algorithm (8), and transmits the analyzed data to a visualization large screen (10). The PWM drive circuit (9) is connected to the three-port conversion circuit (4), and the output end of the three-port conversion circuit (4) is connected to an energy storage system (14). The energy storage system (14) is connected to the first monitoring sampling system (3) and provides working power for it.

2. A photovoltaic power station video monitoring system according to claim 1, characterized in that: The photovoltaic system (1) comprises a digitally controlled power supply (12) and a plurality of electronic components (11) connected thereto. The photovoltaic system (1) converts solar energy into electrical energy to ensure the continuity and stability of the power supply.

3. A photovoltaic power station video monitoring system according to claim 2, characterized in that: The energy storage system (2) comprises an energy storage battery group (13) and a fault monitoring circuit (14) connected thereto, and the energy storage system (2) ensures uninterrupted power supply when sunlight is insufficient or interrupted.

4. A photovoltaic power station video monitoring system according to claim 3, characterized in that: The first monitoring and sampling system (3) comprises an ADC circuit (16) and a voltage and current sampler (15) and an environmental information sensor (17) connected thereto; the second monitoring and sampling system (21) comprises an ADC circuit (16) and a voltage and current sampler (15) and an environmental information sensor (17) connected thereto; the first monitoring and sampling system (3) is used to collect environmental information of the photovoltaic power generation system (1) and the equivalent load (5); and the second monitoring and sampling system (21) is used to collect environmental information of the energy storage system (2).

5. A photovoltaic power station video monitoring system according to claim 4, characterized in that: The three-port conversion circuit (4) comprises a bidirectional DC-DC converter (18), and the three-port conversion circuit (4) is used to realize the conversion and transmission of electric energy to ensure stable operation of the system.

6. A photovoltaic power station video monitoring system according to claim 5, characterized in that: The equivalent load (5) includes a load (19) and an inverter (20) connected thereto. The equivalent load (5) is used to simulate actual load conditions to evaluate and test system performance, verify stability, protect equipment safety, assist in fault diagnosis, and optimize system configuration.

7. A photovoltaic power station video monitoring system according to claim 6, characterized in that: The auxiliary power supply (6) outputs a DC voltage suitable for the modules required by the photovoltaic power station video monitoring system and provides power for the modules.

8. A photovoltaic power station video monitoring system according to claim 7, characterized in that: The data displayed on the visualization screen (10) is obtained through processing and analysis using big data and cloud computing technologies; the data includes real-time monitoring data and performance prediction data, both of which can be used to evaluate the performance and efficiency of photovoltaic power plants and provide a reference for optimizing the design and management of photovoltaic power plants.

9. An autonomous controllable photovoltaic and energy storage integrated uninterruptible power supply method for a photovoltaic power station video monitoring system, characterized in that: A photovoltaic power station video monitoring system according to any one of claims 1 to 8 is used, and the specific steps of the method are: Step 1: Determine the monitoring system model and power supply method; Step 2: Determine the technical parameter requirements of the environment for solar-powered photovoltaic components.

10. The autonomous controllable photovoltaic and energy storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 9, characterized in that: The specific steps of Step 1 to determine the monitoring system model and power supply mode are: Step 1.1: Obtain the output voltage and output current of the photovoltaic system (1), the input voltage and input current of the energy storage system (2), and the input voltage and output current of the equivalent load (5); Step 1.2: When the output power of the photovoltaic system (1) exceeds a preset output valley value, a first power supply scheme is adopted; when the output power of the photovoltaic system (1) is lower than the preset output valley value, a second power supply scheme is adopted; Step 1.3: Analyze the obtained voltage and current data, and use impedance matching technology to achieve impedance matching between the system equivalent internal resistance and the equivalent load (5) through a three-port variable circuit (4) to achieve preliminary system matching impedance.

11. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 10, characterized in that: The specific implementation plan of Step 1.1 is as follows: obtaining the output voltage and output current of the photovoltaic system (1), the input voltage and input current of the energy storage system (2), and the input voltage and input current of the equivalent load (5), calculating the equivalent internal resistance of the photovoltaic system (1) and the energy storage system (2), and the equivalent load (5) of the external circuit, and providing data for preliminary impedance matching. All the obtained data will be uploaded to the controller (7) and the network server using general packet radio service technology, Ethernet and other technologies, and the relevant data can be viewed on the visualization large screen (10).

12. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 10, characterized in that: The specific implementation plan of Step 1.2 is: The first power supply scheme is generally applicable to the case where the solar radiation is relatively large during the period, and the photovoltaic system (1) can meet the requirements of supplying power to the equivalent load (5) and the energy storage system (2) at the same time, that is, the equivalent load (5) is only supplied by the photovoltaic system (1), and the energy storage system (2) is in a charging state. The second power supply scheme is generally applicable to the case where the solar radiation is relatively small or zero during the period, and the photovoltaic system (1) cannot meet the requirements of supplying power to the equivalent load (5) and the energy storage system (2) at the same time. At this time, the load is not only supplied by the photovoltaic battery but also by the energy storage system (2), and sometimes only by the energy storage system (2). At this time, the energy storage system (2) is in a discharging state. The first power supply scheme and the second power supply scheme are switched based on the collected data of the solar radiation after data analysis by the controller (7), so that the system has the characteristics of uninterrupted power supply and realizes the integration of photovoltaic and energy storage.

13. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 10, characterized in that: The specific implementation plan of Step 1.3 is: The maximum power output is achieved by using a scheme in which the system internal resistance is equal to the external circuit internal resistance. In the first power supply scheme, the resistance of the equivalent load (5) is equal to the parallel impedance of the equivalent internal resistance of the photovoltaic system (1) and the equivalent internal resistance of the energy storage system (2). In the second power supply scheme, the resistance of the equivalent load (5) is equal to the equivalent internal resistance impedance of the energy storage system (2).

14. The autonomous controllable photovoltaic and energy storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 9, characterized in that: The specific steps of Step 2 to determine the technical parameter requirements of the environment for solar-powered photovoltaic modules are: Step 2.1: Monitor the daily environmental information such as sunshine intensity, wind speed, surface temperature of the energy storage battery pack (13), ambient temperature, etc., and collect equipment information such as the remaining power of the energy storage system (2) equipment, and calculate the daily power generation, total power generation, and the required charging and discharging amount of the energy storage system (2); Step 2.2: Based on the analysis of the three-port conversion circuit (4), the optimal matching impedance of the system is obtained by using the load impedance matching model, the MPPT control algorithm (8) and the optimal output power calculation.

15. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 14, characterized in that: The specific implementation plan of Step 2.1 is: Under the current environmental conditions, the sensor module obtains the initial environmental data of solar radiation and ambient temperature in this time period, calculates the power generation of the photovoltaic system (1) in this period, and then adapts the required charging and discharging amounts by collecting the remaining power of the energy storage system (2). All data are transmitted to the controller (7) for data aggregation, curve generation, data analysis, etc. Finally, the visualization large screen (10) displays the current relevant real-time and optimized data.

16. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 14, characterized in that: The specific implementation plan of Step 2.2 is: The load (19) impedance matching model is used to realize the solar power supply scheme with the best power generation efficiency, and the MPPT algorithm (8) is used to control the controllable switch device to realize the control of the maximum output power. The system load impedance matching model is adjusted. The model adopts an integrated learning algorithm. According to the environmental information of the photovoltaic system (1) and the system equivalent internal resistance information as well as the preliminary calculated power generation, the charging and discharging amount of the energy storage system (2), the established integrated learning model is trained to obtain the optimal matching scheme of the system's optimal power generation and the charging amount of the energy storage system (2) and the system internal resistance under different environmental conditions.

17. The autonomous controllable photovoltaic-storage integrated uninterruptible power supply method of a photovoltaic power station video monitoring system according to claim 16, characterized in that: The load impedance matching model of the adjustment system in the specific implementation scheme of Step 2.2 is obtained by using an integrated learning algorithm, wherein the specific steps of the integrated learning algorithm are: Step 2.2.1: Analyze the environmental information and equipment information of the photovoltaic power generation system (1) to obtain information characteristic values. At the same time, the environmental information and equipment information of the photovoltaic power generation system (1) are input into the first individual learner module in the integrated learning model. The information characteristic values ​​of the photovoltaic power generation system (1) are output by the first individual learner module, and the input and output data are interactively processed through the combination module in the integrated learning model, thereby obtaining the operation status analysis model of the photovoltaic system (1); Step 2.2.2: Analyze the environmental information and equipment information of the energy storage system (2) to obtain information characteristic values. At the same time, input the environmental information and equipment information of the energy storage system (2) into the second individual learner module in the integrated learning model. The information characteristic values ​​of the energy storage system (2) are output by the second individual learner module. The input and output data are interactively processed through the combination module in the integrated learning model, thereby obtaining the operation status analysis model of the energy storage system (2). Step 2.2.3: The data of the first and second individual learner modules and the charge and discharge amounts of the energy storage system (2) are input into the third individual learner module in the integrated learning model. The load condition of the energy storage system (2) is output by the third individual learner module. The input and output data are interactively processed through the combination module in the integrated learning model to obtain the system load impedance matching model.

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