Intelligent storage photovoltaic power supply method and system based on Internet of Things

Abstract

The invention discloses an intelligent storage photovoltaic power supply method and system based on the Internet of Things, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: collecting the power utilization data of photovoltaic power supply area equipment, building a photovoltaic power generation system, directly supplying the electric quantity generated by a photovoltaic panel, and storing the electric energy. A photovoltaic panel power generation electric energy distribution scheme is formulated according to the power utilization information of the power supply area equipment, a photovoltaic power generation system model is established according to the photovoltaic panel power generation electric energy distribution scheme, a photovoltaic panel power generation calculation formula is selected, and the power generation capacity of a photovoltaic panel power generation group is regulated and controlled in combination with the power utilization information of the power supply area equipment. According to the invention, a setting mode matched with the intelligent storage photovoltaic power supply method based on the Internet of Things is utilized, the power generation amount of the photovoltaic panel power generation group in a unit time is calculated through a photovoltaic panel power generation formula, the power generation amount of the photovoltaic panel power generation group is regulated and controlled in combination with the power utilization information of the equipment in the power supply area, and the limited photovoltaic panel group can be established. The photovoltaic panel is reasonably utilized, and electric quantity loss is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and in particular to an intelligent warehousing photovoltaic power supply method and system based on the Internet of Things. Background Art

[0002] Photovoltaic power generation system is a technical system that uses the solar photovoltaic effect to convert sunlight into electrical energy. It can provide clean and renewable electricity for homes, businesses and industries, and is widely used in various scenarios such as residential power supply, commercial buildings, agriculture and industry.

[0003] Photovoltaic power generation systems are usually composed of photovoltaic modules, inverters, support systems, energy storage systems, power management and control systems, and distribution equipment. Photovoltaic modules are the core part of photovoltaic power generation systems and are used to convert solar radiation energy into electrical energy. Inverters are used to convert the direct current (DC) generated by photovoltaic modules into alternating current (AC) for use in households or industrial equipment. Energy storage systems are used to store electrical energy. Power management systems are used to monitor, control, and optimize the operation of photovoltaic power generation systems to ensure safety and efficiency.

[0004] When a photovoltaic power generation system generates electricity, it usually converts the direct current generated by the photovoltaic panels into alternating current through an inverter, and then stores it in an energy storage system. The energy storage system then supplies power to electrical equipment. In this way, power loss will occur during the power conversion, which leads to certain defects. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent storage photovoltaic power supply method and system based on the Internet of Things to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent warehousing photovoltaic power supply method based on the Internet of Things, comprising the following specific steps:

[0007] Step 1: Collect electricity consumption data of equipment in the photovoltaic power supply area and collect statistics on electricity consumption information of equipment in the power supply area;

[0008] Step 2: Build a photovoltaic power generation system, where photovoltaic panels convert sunlight into electrical energy;

[0009] Step 3: Directly supply and store the electricity generated by the photovoltaic panels;

[0010] Step 4: Formulate a photovoltaic panel power distribution plan based on the power consumption information of the equipment in the power supply area, and regulate the amount of power stored in the power storage according to the photovoltaic panel power distribution plan;

[0011] Step 5: Establish a photovoltaic power generation system model based on the photovoltaic panel power generation energy distribution plan. The photovoltaic power generation system model includes a power generation model, a power consumption equipment model, and a power control model;

[0012] Step 6: Design an optimization algorithm, select a calculation formula for photovoltaic panel power generation, calculate the power generation of the photovoltaic panel power generation group per unit time using the photovoltaic panel power generation formula, and regulate the power generation of the photovoltaic panel power generation group based on the power consumption information of the equipment in the power supply area.

[0013] Preferably, the method of collecting electricity consumption data of equipment in the photovoltaic power supply area includes Internet of Things data collection and actual electricity consumption data collection, and the electricity consumption information of equipment in the power supply area includes but is not limited to daily electricity consumption, peak and valley periods, and daily electricity consumption.

[0014] Preferably, the establishment of the photovoltaic power generation system includes site assessment and design of an overall plan for the photovoltaic system. The site assessment is to judge the feasibility of the photovoltaic installation site. The judgment conditions include but are not limited to site size, lighting conditions, geographical location, soil conditions and environmental impacts. The soil conditions are to judge whether the soil is loose, which affects the stability of the photovoltaic panel bracket construction, and it cannot occupy agricultural land. The environmental impact is whether the light emitted by the photovoltaic panel when generating electricity has an impact on the residential environment.

[0015] Preferably, the overall scheme for designing a photovoltaic system includes:

[0016] Equipment procurement, including photovoltaic panels, inverters, support systems, energy storage systems, and power distribution systems;

[0017] Installation and commissioning: perform foundation construction on the photovoltaic panel bracket to ensure the bracket is in a stable state, then install the photovoltaic panels and connect and wire them according to the designed plan, install inverters and power distribution equipment to ensure the safe conversion and distribution of electric energy, install energy storage equipment and connect it to the photovoltaic system, and commission the entire system to ensure that all equipment operates normally and meets the design requirements;

[0018] System monitoring and maintenance: installing monitoring equipment and software to monitor the power generation, operating status, and performance of the photovoltaic system in real time. Regularly inspecting and maintaining photovoltaic modules, inverters, and energy storage systems to ensure efficient and stable operation of the system, promptly addressing system failures, and ensuring the continued stability of photovoltaic power generation.

[0019] Grid-connected operation: connect the photovoltaic power generation system to the grid and conduct pre-grid debugging. After the debugging is completed, it will be officially put into operation.

[0020] Preferably, the electricity generated by the photovoltaic panels is directly supplied and stored, that is, DC and AC power are supplied according to the power consumption of the equipment in the power supply area. The photovoltaic panels generate excess electricity to supply the equipment in the power supply area, and the DC power is converted into AC power by the inverter and stored in the energy storage system. When the power consumption of the equipment in the power supply area is at its peak, when the power generation of the photovoltaic panels is less than the power consumption of the equipment in the power supply area, the power of the energy storage system provides power for the equipment in the power supply area.

[0021] Preferably, the photovoltaic panel power generation energy distribution scheme is based on giving priority to ensuring the needs of the equipment in the power supply area, that is, the photovoltaic panel power generation energy is given priority to powering the equipment in the power supply area. When the photovoltaic panel power generation is less than the power consumption of the equipment in the power supply area, the power of the energy storage system provides power for the equipment in the power supply area. When the sum of the photovoltaic panel power generation and the power provided by the energy storage system is less than the power consumption of the equipment in the power supply area, the external network power is connected and the external network power is used to provide power to the equipment in the power supply area to ensure normal power consumption of the equipment in the power supply area.

[0022] Preferably, the power generation model uses a solar radiation model to predict the light intensity within a specific time period, combines meteorological data to adjust the model, and uses dynamic simulation software to perform time domain analysis to simulate the process of power generation changing over time;

[0023] The power equipment model builds a load model by collecting statistics on the power demand, usage time, and usage patterns of common electrical appliances. It uses time series data to analyze load fluctuation patterns, uses linear and nonlinear models to describe power demand, and builds power consumption models based on different time periods to help optimize power scheduling.

[0024] The electric energy control model uses linear programming and mixed integer linear programming mathematical optimization methods to establish a supply and demand optimization model, and adopts feedback control, predictive control, and model predictive control methods for dynamic control to ensure the stability of the system under different load conditions.

[0025] Preferably, the design optimization algorithm includes a photovoltaic panel power generation calculation formula and a power demand formula. The photovoltaic panel power generation calculation formula is as follows:

[0026]

[0027] E is the total amount of electricity generated by N photovoltaic panels during the time period T2-T1, P is the rated power of the photovoltaic panels, η is the efficiency of the photovoltaic system, and the efficiency of the photovoltaic system is related to the photovoltaic material, temperature, tilt angle, shadow, aging and pollution. G is the actual light intensity, G ref is the standard light intensity;

[0028] The power demand formula is as follows:

[0029] P load(T2-T1)=f(T,H,W)

[0030] P load (T2-T1) is the power demand during the time period T2-T1, and T, H, and W are temperature, humidity, and other influencing factors, respectively.

[0031] Preferably, when the amount of electricity generated by N photovoltaic panels during the time period T2-T1 is greater than P load If the power demand of (t2-t1) is met, the power generation of the photovoltaic panels is greater than the power supply demand, and the photovoltaic panels directly provide power to the equipment in the power supply area. The excess power generated by the photovoltaic panels is stored in the energy storage system. The smaller the value of T2-T1, the more accurate the power demand directly provided by the photovoltaic panels to the equipment in the power supply area.

[0032] The present invention also provides an intelligent storage photovoltaic power supply system based on the Internet of Things, comprising: a photovoltaic power generation system for generating electricity from sunlight, and a data acquisition sensor system for collecting data information of photovoltaic power generation;

[0033] Energy storage systems, which store the electricity generated by photovoltaic panels through sunlight;

[0034] The power supply system is used to build a power supply circuit to provide the electricity in the photovoltaic power generation system and energy storage system to the equipment in the power supply area;

[0035] Control system, used to control and optimize the amount of electricity generated and used in photovoltaic power generation systems, energy storage systems, and power supply systems;

[0036] The interconnection system is used to interconnect photovoltaic power generation systems for smart grid, microgrid management, demand response, energy storage system scheduling and economic scheduling.

[0037] The technical effects and advantages of the present invention are as follows:

[0038] The present invention utilizes a setting method that cooperates with the intelligent storage photovoltaic power supply method based on the Internet of Things, regulates the amount of electricity in the energy storage according to the photovoltaic panel power generation power distribution plan, calculates the power generation of the photovoltaic panel power generation group per unit time through the photovoltaic panel power generation formula, and regulates the power generation of the photovoltaic panel power generation group in combination with the power consumption information of the equipment in the power supply area. It can build a limited photovoltaic panel group, reasonably utilize the photovoltaic panels, and reduce power loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the intelligent warehousing photovoltaic power supply method based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] The present invention provides Figure 1 The IoT-based smart warehousing photovoltaic power supply method shown includes the following specific steps:

[0042] Step 1: Collect electricity consumption data of equipment in the photovoltaic power supply area and collect statistics on the electricity consumption information of equipment in the power supply area. The methods for collecting electricity consumption data of equipment in the photovoltaic power supply area include collecting IoT data and actual electricity consumption data. The electricity consumption information of equipment in the power supply area includes but is not limited to daily electricity consumption, peak and off-peak periods, and daily electricity consumption;

[0043] Step 2: Build a photovoltaic power generation system, where photovoltaic panels convert sunlight into electrical energy;

[0044] Step 3: Directly supply and store the electricity generated by the photovoltaic panels, thereby achieving the purpose of photovoltaic panel power generation;

[0045] Step 4: Formulate a photovoltaic panel power distribution plan based on the power consumption information of the equipment in the power supply area, and regulate the amount of power stored in the power storage according to the photovoltaic panel power distribution plan;

[0046] Step 5: Establish a photovoltaic power generation system model based on the photovoltaic panel power generation energy distribution plan. The photovoltaic power generation system model includes a power generation model, a power consumption equipment model, and a power control model;

[0047] Step 6: Design an optimization algorithm, select a calculation formula for photovoltaic panel power generation, calculate the power generation of the photovoltaic panel power generation group per unit time using the photovoltaic panel power generation formula, and regulate the power generation of the photovoltaic panel power generation group based on the power consumption information of the equipment in the power supply area.

[0048] Furthermore, the establishment of a photovoltaic power generation system includes site assessment and design of an overall plan for the photovoltaic system. Site assessment is to judge the feasibility of the photovoltaic installation site. The judgment conditions include but are not limited to site size, lighting conditions, geographical location, soil conditions and environmental impacts. The site size needs to meet the construction of photovoltaic panels. The geographical location should be as close as possible to the power supply area equipment to reduce the consumption of power transmission. The lighting conditions must meet the power generation and lighting requirements of the photovoltaic panels. The soil conditions are to judge whether the soil is loose, which affects the stability of the photovoltaic panel bracket construction, and it cannot occupy agricultural land. The environmental impact is whether the light emitted by the photovoltaic panels when generating electricity has an impact on the residential environment.

[0049] In particular, the overall plan for designing a photovoltaic system includes equipment procurement, installation and commissioning, system monitoring and maintenance, and grid-connected operation. The purchased equipment includes photovoltaic panels, inverters, support systems, energy storage systems, and distribution systems. The procurement of photovoltaic panels requires selecting appropriate brands and models to ensure efficiency and durability. The foundation construction of the photovoltaic panel support is carried out to ensure that the support is in a stable state. The photovoltaic panels are then installed and connected and wired according to the designed plan. The inverter and distribution equipment are installed to ensure the safe conversion and distribution of electric energy. The energy storage equipment is installed and connected to the photovoltaic system. The entire system is debugged to ensure that all equipment operates normally and meets the design requirements. Monitoring equipment and software are installed to monitor the power generation, operating status, and performance of the photovoltaic system in real time. The photovoltaic panels, inverters, and energy storage systems are regularly inspected and maintained to ensure efficient and stable operation of the system, timely handle system faults, and ensure the continuous stability of photovoltaic power generation. The photovoltaic power generation system is grid-connected and debugged before grid connection. After debugging is completed, it is officially put into operation. When grid-connected, it is necessary to apply to the power company for grid access to ensure that the power generation system can be smoothly connected to the grid.

[0050] Furthermore, the electricity generated by the photovoltaic panels is directly supplied and stored, that is, DC and AC power are supplied according to the power consumption of the equipment in the power supply area. The photovoltaic panels generate excess electricity to supply the equipment in the power supply area, and the DC power is converted into AC power by the inverter and stored in the energy storage system. Moreover, during the peak power consumption period of the equipment in the power supply area, when the power generation of the photovoltaic panels is less than the power consumption of the equipment in the power supply area, the power of the energy storage system provides power for the equipment in the power supply area.

[0051] Specifically, the photovoltaic panel power generation distribution plan is based on giving priority to ensuring the needs of equipment in the power supply area, that is, the photovoltaic panel power generation is given priority to powering the equipment in the power supply area. When the photovoltaic panel power generation is less than the power consumption of the equipment in the power supply area, the energy storage system's power is used to provide power for the equipment in the power supply area. When the sum of the photovoltaic panel power generation and the power provided by the energy storage system is less than the power consumption of the equipment in the power supply area, the external network power is connected and used to provide power to the equipment in the power supply area to ensure the normal power supply of the equipment in the power supply area and avoid power outages in the power supply area.

[0052] Furthermore, the power generation model uses a solar radiation model to predict the light intensity within a specific time period, combines meteorological data to adjust the model, and uses dynamic simulation software to implement time domain analysis. The dynamic simulation software can be MATLAB / Simulink, PVsyst, etc., which simulates the process of power generation changing over time. The power equipment model establishes a load model by statistically analyzing the power demand, usage time and usage patterns of common electrical appliances, uses time series data to analyze the fluctuation pattern of the load, uses linear and nonlinear models to describe power demand, and establishes power consumption models according to different time periods to help optimize power scheduling. The power control model uses linear programming and mixed integer linear programming mathematical optimization methods to establish a supply and demand optimization model, and adopts feedback control, predictive control, and model predictive control methods for dynamic control to ensure the stability of the system under different load conditions.

[0053] In particular, the design optimization algorithm includes the photovoltaic panel power generation calculation formula and the power demand formula. The photovoltaic panel power generation calculation formula is as follows:

[0054]

[0055] E is the total amount of electricity generated by N photovoltaic panels during the time period T2-T1, P is the rated power of the photovoltaic panel, η is the efficiency of the photovoltaic system, and the efficiency of the photovoltaic system is related to the photovoltaic material, temperature, tilt angle, shadow obstruction, aging and pollution. The greater the efficiency value of the photovoltaic system, the greater the power generation of the photovoltaic panel. G is the actual light intensity, G ref is the standard light intensity;

[0056] The power demand formula is as follows:

[0057] P load (T2-T1)=f(T,H,W)

[0058] P load (T2-T1) is the power demand during the T2-T1 period, T, H, and W are temperature, humidity, and other influencing factors, respectively. When the amount of electricity generated by N photovoltaic panels during the T2-T1 period is greater than P load If the power demand of (t2-t1) is greater than the power supply demand, the photovoltaic panels will directly provide power to the equipment in the power supply area. The excess power generated by the photovoltaic panels will be stored in the energy storage system. The smaller the value of T2-T1 is, the more accurate the power demand directly provided by the photovoltaic panels to the equipment in the power supply area will be, thereby improving the efficiency of power utilization.

[0059] The present invention also provides an intelligent storage photovoltaic power supply system based on the Internet of Things, including a photovoltaic power generation system, an energy storage system, a power supply system, a control system and a networking system. The photovoltaic power generation system is used to generate electricity through sunlight, and a data acquisition sensor system is established to collect data information of photovoltaic power generation. The energy storage system is used to store the electricity generated by photovoltaic panels through sunlight. The power supply system is used to build a power supply circuit to provide the electricity in the photovoltaic power generation system and the energy storage system to the equipment in the power supply area for use. The control system is used to control and optimize the electricity generated and used in the photovoltaic power generation system, the energy storage system and the power supply system. The networking system is used to network the photovoltaic power generation system for smart grid, microgrid management, demand response, energy storage system scheduling and economic scheduling. The intelligent storage photovoltaic power supply system based on the Internet of Things also includes a model establishment system, which is used to establish a power generation model, a power equipment model and an electric energy control model.

[0060] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent warehousing photovoltaic power supply method based on the Internet of Things, characterized in that: The specific steps are as follows: Step 1: Collect electricity consumption data of equipment in the photovoltaic power supply area and collect statistics on electricity consumption information of equipment in the power supply area; Step 2: Build a photovoltaic power generation system, where photovoltaic panels convert sunlight into electrical energy; Step 3: Directly supply and store the electricity generated by the photovoltaic panels; Step 4: Formulate a photovoltaic panel power distribution plan based on the power consumption information of the equipment in the power supply area, and regulate the amount of power stored in the power storage according to the photovoltaic panel power distribution plan; Step 5: Establish a photovoltaic power generation system model based on the photovoltaic panel power generation energy distribution plan. The photovoltaic power generation system model includes a power generation model, a power consumption equipment model, and a power control model; Step 6: Design an optimization algorithm, select a calculation formula for photovoltaic panel power generation, calculate the power generation of the photovoltaic panel power generation group per unit time using the photovoltaic panel power generation formula, and regulate the power generation of the photovoltaic panel power generation group based on the power consumption information of the equipment in the power supply area.

2. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The methods for collecting electricity consumption data of equipment in the photovoltaic power supply area include Internet of Things data collection and actual electricity consumption data collection. The electricity consumption information of equipment in the power supply area includes but is not limited to daily electricity consumption, peak and valley periods, and daily electricity consumption.

3. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The establishment of the photovoltaic power generation system includes site assessment and design of the overall plan of the photovoltaic system. The site assessment is to judge the feasibility of the photovoltaic installation site. The judgment conditions include but are not limited to site size, lighting conditions, geographical location, soil conditions and environmental impacts. The soil conditions are to judge whether the soil is loose, which affects the stability of the photovoltaic panel bracket construction, and it cannot occupy agricultural land. The environmental impact is whether the light emitted by the photovoltaic panels when generating electricity has an impact on the residential environment.

4. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 3, characterized in that: The overall solution for designing a photovoltaic system includes: Equipment procurement, including photovoltaic panels, inverters, support systems, energy storage systems, and power distribution systems; Installation and commissioning: perform foundation construction on the photovoltaic panel bracket to ensure the bracket is in a stable state, then install the photovoltaic panels and connect and wire them according to the designed plan, install inverters and power distribution equipment to ensure the safe conversion and distribution of electric energy, install energy storage equipment and connect it to the photovoltaic system, and commission the entire system to ensure that all equipment operates normally and meets the design requirements; System monitoring and maintenance: installing monitoring equipment and software to monitor the power generation, operating status, and performance of the photovoltaic system in real time. Regularly inspecting and maintaining photovoltaic modules, inverters, and energy storage systems to ensure efficient and stable operation of the system, promptly addressing system failures, and ensuring the continued stability of photovoltaic power generation. Grid-connected operation: connect the photovoltaic power generation system to the grid and conduct pre-grid debugging. After the debugging is completed, it will be officially put into operation.

5. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The electricity generated by the photovoltaic panels is directly supplied and stored. That is, DC and AC power are supplied according to the power consumption of the equipment in the power supply area. The photovoltaic panels generate excess electricity to supply the equipment in the power supply area, and the DC power is converted into AC power through the inverter and stored in the energy storage system. Moreover, during the peak power consumption period of the equipment in the power supply area, when the power generation of the photovoltaic panels is less than the power consumption of the equipment in the power supply area, the power of the energy storage system provides power for the equipment in the power supply area.

6. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The photovoltaic panel power generation distribution plan is based on giving priority to ensuring the needs of the equipment in the power supply area, that is, the photovoltaic panel power generation is given priority to the power supply area equipment. When the photovoltaic panel power generation is less than the power consumption of the equipment in the power supply area, the power of the energy storage system is used to provide power for the equipment in the power supply area. When the sum of the photovoltaic panel power generation and the power provided by the energy storage system is less than the power consumption of the equipment in the power supply area, the external network power is connected and used to provide power to the equipment in the power supply area to ensure normal power supply of the equipment in the power supply area.

7. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The power generation model uses a solar radiation model to predict the light intensity within a specific time period, combines meteorological data to adjust the model, and uses dynamic simulation software to perform time domain analysis to simulate the process of power generation changing over time; The power equipment model builds a load model by collecting statistics on the power demand, usage time, and usage patterns of common electrical appliances. It uses time series data to analyze load fluctuation patterns, uses linear and nonlinear models to describe power demand, and builds power consumption models based on different time periods to help optimize power scheduling. The electric energy control model uses linear programming and mixed integer linear programming mathematical optimization methods to establish a supply and demand optimization model, and adopts feedback control, predictive control, and model predictive control methods for dynamic control to ensure the stability of the system under different load conditions.

8. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 1, characterized in that: The design optimization algorithm includes a photovoltaic panel power generation calculation formula and a power demand formula. The photovoltaic panel power generation calculation formula is as follows: E is the total amount of electricity generated by N photovoltaic panels during the time period T2-T1, P is the rated power of the photovoltaic panels, η is the efficiency of the photovoltaic system, and the efficiency of the photovoltaic system is related to the photovoltaic material, temperature, tilt angle, shadow, aging and pollution. G is the actual light intensity, G ref is the standard light intensity; The power demand formula is as follows: P load (T2-T1)=f(T,H,W) P load (T2-T1) is the power demand during the time period T2-T1, and T, H, and W are temperature, humidity, and other influencing factors, respectively.

9. The method for intelligent storage photovoltaic power supply based on the Internet of Things according to claim 8, characterized in that: When the amount of electricity generated by N photovoltaic panels during the time period T2-T1 is greater than P load If the power demand of (t2-t1) is met, the power generation of the photovoltaic panels is greater than the power supply demand, and the photovoltaic panels directly provide power to the equipment in the power supply area. The excess power generated by the photovoltaic panels is stored in the energy storage system. The smaller the value of T2-T1, the more accurate the power demand directly provided by the photovoltaic panels to the equipment in the power supply area.

10. An intelligent storage photovoltaic power supply system based on the Internet of Things, implementing the intelligent storage photovoltaic power supply method based on the Internet of Things according to any one of claims 1 to 9, characterized in that: include: Photovoltaic power generation system, used to generate electricity from sunlight, and establish a data acquisition sensor system to collect data information of photovoltaic power generation; Energy storage systems, which store the electricity generated by photovoltaic panels through sunlight; The power supply system is used to build a power supply circuit to provide the electricity in the photovoltaic power generation system and energy storage system to the equipment in the power supply area; Control system, used to control and optimize the amount of electricity generated and used in photovoltaic power generation systems, energy storage systems, and power supply systems; The interconnection system is used to interconnect photovoltaic power generation systems for smart grid, microgrid management, demand response, energy storage system scheduling and economic scheduling.

Images