Comprehensive energy optimization scheduling system based on adaptive adjustment

Abstract

The invention relates to the technical field of comprehensive energy management, and particularly discloses a comprehensive energy optimization scheduling system based on adaptive adjustment, which comprises a solar heat collection module, a heat storage module, a thermoelectric conversion module, a data acquisition module, an intelligent control module and an optimization scheduling module, solar energy is converted into heat energy; the heat storage module is used for storing heat energy generated by the solar heat collection module; the thermoelectric conversion module converts heat energy stored in the heat storage module into electric energy and provides the electric energy for a load. The data acquisition module is responsible for collecting key parameters related to system operation; the intelligent control module adaptively adjusts the operation parameters of the heat collector, the heat storage module and the thermoelectric conversion module to ensure the stable operation of the system; the optimization scheduling module establishes a supply optimization model, optimizes energy supply, establishes a load model, predicts future power load demands, reduces energy waste and improves the energy utilization rate.

Description

Technical Field

[0001] The present invention relates to the field of integrated management technology, and more specifically, to an integrated energy optimization scheduling system based on self-adaptive regulation. Background Art

[0002] Solar thermal power technology generates electricity by absorbing heat from solar radiation and converting it into electrical energy to drive a generator. This process can not only effectively reduce the consumption of traditional fossil fuels, but also help reduce greenhouse gas emissions and other pollutants, which is of great significance to environmental protection. However, despite the many advantages of solar thermal power technology, its development and widespread application still face some challenges. One of the most significant problems is the relatively low thermoelectric conversion efficiency, which means that a considerable portion of the energy is not effectively utilized in the process of converting the collected solar energy into usable electricity. In addition, the low energy utilization rate is also a key factor restricting the further popularization of solar thermal power systems.

[0003] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a comprehensive energy optimization scheduling system based on adaptive regulation, which converts the absorbed solar energy into thermal energy through a solar thermal collection module, the heat storage module stores the thermal energy generated by the solar thermal collection module, the thermoelectric conversion module converts the thermal energy into electrical energy and provides it to the load for use, the data acquisition module collects key parameters related to the operation of the system, the intelligent control module adaptively adjusts the operating parameters of the collector, the heat storage module and the thermoelectric conversion module to maintain stable operation of the system, the optimization scheduling module establishes a supply optimization model to optimize the energy supply and improve the thermoelectric conversion efficiency, and at the same time the optimization scheduling module establishes a load model to predict future power load demand, perform heat storage scheduling in advance, reduce energy waste, and improve energy utilization, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A comprehensive energy optimization scheduling system based on adaptive regulation includes a solar thermal collection module, a heat storage module, a thermoelectric conversion module, a data acquisition module, an intelligent control module and an optimization scheduling module. The solar thermal collection module is used to collect and absorb solar radiation and convert solar energy into thermal energy; the thermal storage module is used to store the thermal energy generated by the solar thermal collection module; the thermoelectric conversion module converts the thermal energy stored in the thermal storage module into electrical energy and provides it to the load for use; the data acquisition module is responsible for collecting key parameters related to system operation; the intelligent control module adaptively adjusts the operating parameters of the collector, the thermal storage module and the thermoelectric conversion module according to the data collected by the sensor to ensure that the system maintains stable operation; the optimization scheduling module establishes a supply optimization model based on the real-time acquired temperature, solar light intensity, and heat data supplied by the thermal storage module to optimize the energy supply and improve the thermoelectric conversion efficiency. The formula of the supply optimization model is: , Where: For time Thermoelectric conversion efficiency at the moment, is the thermoelectric conversion efficiency coefficient, For time The actual amount of heat supplied by the heat storage module at any given moment. For time The heating demand of the load at any time, For time The temperature of the heat storage medium at the moment, is the optimal working temperature of the heat storage medium, is the temperature influence coefficient, controlling the temperature of the heat storage medium Optimal working temperature of heat storage medium The influence of the deviation between For time The intensity of sunlight at any moment, is the light influencing factor, controlling the sunlight intensity Impact on thermoelectric conversion efficiency.

[0006] As a further solution of the present invention, the optimization scheduling module also establishes a load model based on historical power load demand, predicts future power load demand, performs heat storage scheduling in advance, reduces energy waste, improves energy utilization, and ensures that the system can meet power load demand in a timely manner. The formula of the load model is: , Where: For prediction time The power load demand at any time, The average power load demand calculated for historical data, where satisfy , is the total time points of historical data, For at time point The power load demand, For time The power load demand at the previous moment, is the impact of the power load demand at the previous moment on the current power load forecast, For time The intensity of sunlight at any given moment, For time Sunlight intensity at any time Impact on power load forecasting, For time The temperature of the heat storage medium at the moment, For time Temperature of heat storage medium at the moment Impact on power load forecasting, It is an adjustment factor used to balance the model and avoid over-inflation of the predicted value.

[0007] As a further solution of the present invention, the solar thermal collection module is used to collect and absorb solar radiation and convert solar energy into thermal energy, including the following specific contents: The solar thermal collection module includes a solar collector, a heat transfer medium, an insulation unit and a protection unit. The solar collector is responsible for absorbing solar radiation and converting it into thermal energy. After the heat transfer medium is heated, it is transported to the heat storage module through a pipeline. The solar thermal collection module is designed with an insulation unit to prevent heat loss through convection and radiation. The solar thermal collection module is also provided with a protection unit to prevent the collector from being damaged, thereby extending the service life of the solar thermal collection module without affecting the light transmittance.

[0008] As a further solution of the present invention, the heat storage module is used to store the heat energy generated by the solar thermal collection module, including the following specific contents: The heat storage module includes a heat storage medium and a heat control valve. By using the heat storage medium for heat storage, it can withstand higher temperatures and maintain the effectiveness of heat for a longer period of time. The heat storage medium has good thermal conductivity and heat storage performance, and can store a large amount of thermal energy in a smaller volume, ensuring that sufficient energy supply can be provided during peak load periods. The heat control valve is used to adjust the output speed of heat. When the system needs to generate electricity, the heat control valve will transfer heat from the heat storage unit to the thermoelectric conversion module.

[0009] As a further solution of the present invention, the thermoelectric conversion module converts the thermal energy stored in the heat storage module into electrical energy and provides it to the load for use, including the following specific contents: The thermoelectric conversion module includes a thermoelectric conversion unit, a thermoelectric conversion controller and a generator. The thermoelectric conversion unit converts thermal energy into electrical energy. The thermoelectric conversion controller is responsible for adjusting the operating power of the thermoelectric conversion device. The generator converts the energy generated by the thermoelectric conversion device into electricity and directly supplies it to the load.

[0010] As a further solution of the present invention, the data acquisition module is responsible for collecting key parameters related to system operation, including the following specific contents: The data acquisition module continuously monitors the sunlight intensity and illumination time through the light sensor, and converts it into specific values ​​through the data processing unit and transmits it to the intelligent control module. At the same time, the temperature sensor measures the temperature change of the heat storage medium in real time, and provides this information to the intelligent control module of the system. The output power monitoring of the thermoelectric conversion equipment is realized through the power monitor, which can obtain the instantaneous power of the electric energy output and the power demand of the load. The signal processing unit processes the collected data to eliminate noise, abnormal values ​​and interference data. The data after filtering and data cleaning is stored and transmitted to the intelligent control module wirelessly. In addition, when the network is interrupted or the communication fails, the data can be temporarily stored and uploaded again after the communication is restored to avoid data loss.

[0011] As a further solution of the present invention, the intelligent control module adaptively adjusts the operating parameters of the collector, the heat storage module and the thermoelectric conversion module according to the data collected by the sensor to ensure that the system maintains stable operation, including the following specific contents: The intelligent control module uses the collected sunlight intensity data and sunlight time data to establish a sunlight intensity model to evaluate the solar energy resources in the current environment. When insufficient light intensity is detected, the intelligent control module automatically adjusts the angle of the collector to maximize the light receiving area, thereby improving the efficiency of heat energy acquisition. The formula of the sunlight intensity model is: , Where: For time The intensity of sunlight at any given moment, is the solar intensity at noon, is the light intensity attenuation coefficient, It is noon time; According to the solar radiation intensity model, a collector angle adjustment model is established to calculate the inclination angle of the collector. The formula of the collector angle adjustment model is: , Where: For the collector panel at time The tilt angle, is the collector panel tilt angle adjustment factor, is the maximum adjustment angle of the collector panel, For time The intensity of sunlight at any given moment, is the solar intensity at noon; The intelligent control module establishes an operation cycle model for adjusting the collector according to the solar illumination time data. When the operation state value of the collector is lower than the preset threshold, the collector enters a low energy consumption mode, thereby saving energy. The formula for adjusting the operation cycle model of the collector is: , Where: For time The operating status value of the collector at the moment. When the operating status value is 1, it means the collector is running at full power. When the operating status value is less than 1, it means the collector is running at partial power. When the operating status value is less than 0.2, it means the collector enters low energy consumption mode. For time The intensity of sunlight at any given moment, is the preset solar intensity threshold, It's 6 o'clock in the morning. At 18:00 in the evening, The decay rate of the collector power when the collector enters the low energy consumption mode; When the temperature of the heat storage medium in the heat storage module reaches the preset upper limit value, the intelligent control module limits the flow of heat energy to the thermoelectric conversion module by closing some valves to avoid the conversion of excessive heat energy; the intelligent control module monitors the output power of the thermoelectric conversion equipment in real time through the data acquisition module, and when it detects that the output power is lower than the preset target value, the intelligent control module increases the flow rate of the working fluid to improve the working efficiency of the thermoelectric conversion equipment.

[0012] As a further solution of the present invention, the data acquisition module is connected to the heat storage module, the solar thermal collection module and the thermoelectric conversion module respectively, the intelligent control module is connected to the data acquisition module, and the optimization scheduling module is connected to the intelligent control module.

[0013] The technical effects and advantages of the comprehensive energy optimization scheduling system based on adaptive regulation of the present invention are as follows: The present invention absorbs solar radiation and converts it into heat energy through the solar collector in the solar thermal collection module, and transfers the heat energy from the collector to the heat storage module. The solar thermal collection module is also provided with a heat preservation unit and a protection unit. The heat preservation unit effectively prevents heat loss through convection and radiation, and the protection unit prevents the collector from being damaged, thereby extending the service life. The heat storage module adjusts the heat output speed through a heat control valve to ensure the provision of a stable heat energy supply. The thermoelectric conversion module converts the heat energy in the heat storage module into electrical energy and provides it to the load for use. The data acquisition module monitors the key parameters of the system operation in real time through sensors and processes the collected data. The intelligent control module can adaptively adjust the operating parameters of the collector, the heat storage module and the thermoelectric conversion module according to the data collected by the sensors to ensure the stable operation of the system. The optimization scheduling module establishes a supply optimization model based on the real-time acquired temperature, solar light intensity, and heat data supplied by the heat storage module, optimizes the energy supply, and improves the thermoelectric conversion efficiency. According to the historical power load demand, a load model is established to predict the future power load demand, and heat storage scheduling is performed in advance to reduce energy waste and improve energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a structural schematic diagram of a comprehensive energy optimization scheduling system based on adaptive regulation of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0016] Example 1 The invention discloses a comprehensive energy optimization and scheduling system based on adaptive regulation, which comprises a solar thermal collection module, a heat storage module, a thermoelectric conversion module, a data acquisition module, an intelligent control module and an optimization and scheduling module. The solar thermal collection module is used to collect and absorb solar radiation and convert solar energy into thermal energy. The thermal storage module is used to store the thermal energy generated by the solar thermal collection module. The thermoelectric conversion module converts the thermal energy stored in the thermal storage module into electrical energy and provides it to the load. The data acquisition module is responsible for collecting key parameters related to the operation of the system. The intelligent control module adaptively adjusts the operating parameters of the collector, the thermal storage module and the thermoelectric conversion module according to the data collected by the sensor to ensure that the system maintains stable operation. The optimization and scheduling module establishes a supply optimization model based on the real-time acquired temperature, solar light intensity and heat data supplied by the thermal storage module to optimize the energy supply and improve the thermoelectric conversion efficiency. The optimization and scheduling module also establishes a load model based on the historical power load demand, predicts the future power load demand, performs heat storage scheduling in advance, reduces energy waste, improves energy utilization, and ensures that the system can meet the power load demand in time.

[0017] Furthermore, in this embodiment, the data acquisition module is connected to the heat storage module, the solar thermal collection module and the thermoelectric conversion module respectively, the intelligent control module is connected to the data acquisition module, and the optimization scheduling module is connected to the intelligent control module.

[0018] Furthermore, the solar thermal collection module is used to collect and absorb solar radiation and convert solar energy into thermal energy, including the following specific contents: The solar thermal collection module includes a solar collector, a heat transfer medium, an insulation unit and a protection unit. The solar collector is responsible for absorbing solar radiation and converting it into thermal energy. After the heat transfer medium is heated, it is transported to the heat storage module through a pipeline. The solar thermal collection module is designed with an insulation unit to prevent heat loss through convection and radiation. The solar thermal collection module is also provided with a protection unit to prevent the collector from being damaged, thereby extending the service life of the solar thermal collection module without affecting the light transmittance.

[0019] Furthermore, the heat storage module is used to store the heat energy generated by the solar thermal collection module, including the following specific contents: The heat storage module includes a heat storage medium and a heat control valve. By using the heat storage medium for heat storage, it can withstand higher temperatures and maintain the effectiveness of heat for a longer period of time. The heat storage medium has good thermal conductivity and heat storage performance, and can store a large amount of thermal energy in a smaller volume, ensuring that sufficient energy supply can be provided during peak load periods. The heat control valve is used to adjust the output speed of heat. When the system needs to generate electricity, the heat control valve will transfer heat from the heat storage unit to the thermoelectric conversion module.

[0020] Furthermore, the thermoelectric conversion module converts the thermal energy stored in the heat storage module into electrical energy and provides it to the load for use, including the following specific contents: The thermoelectric conversion module includes a thermoelectric conversion unit, a thermoelectric conversion controller and a generator. The thermoelectric conversion unit converts thermal energy into electrical energy. The thermoelectric conversion controller is responsible for adjusting the operating power of the thermoelectric conversion device. The generator converts the energy generated by the thermoelectric conversion device into electricity and directly supplies it to the load.

[0021] Furthermore, the data acquisition module is responsible for collecting key parameters related to system operation, including the following specific contents: The data acquisition module continuously monitors the sunlight intensity and illumination time through the light sensor, and converts it into specific values ​​through the data processing unit and transmits it to the intelligent control module. The data acquisition module measures the temperature change of the heat storage medium in real time through the multi-point temperature sensors installed inside and outside the heat storage tank, and provides this information to the system's intelligent control module. Temperature data is very important for the overall energy scheduling of the system. It can help determine the thermal energy storage status in the heat storage tank and decide whether to continue to store heat or release heat energy to the thermoelectric conversion device. The output power monitoring of the thermoelectric conversion device is achieved through a power monitor, which can obtain the instantaneous power of the electrical output and the power demand of the load. The signal processing unit processes the collected data, eliminates noise, outliers and interference data, and the data after filtering and data cleaning is stored and transmitted to the intelligent control module wirelessly. In addition, when the network is interrupted or the communication fails, the data can be temporarily stored and uploaded again after the communication is restored to avoid data loss.

[0022] Furthermore, the intelligent control module adaptively adjusts the operating parameters of the collector, heat storage module and thermoelectric conversion module based on the data collected by the sensor to ensure that the system maintains stable operation, including the following specific contents: The intelligent control module uses the collected sunlight intensity data and sunlight time data to establish a sunlight intensity model to evaluate the solar energy resources in the current environment. When insufficient light intensity is detected, the intelligent control module automatically adjusts the angle of the collector panel to maximize the light receiving area, thereby improving the efficiency of heat energy acquisition. The formula of the sunlight intensity model is: , Where: For time The intensity of sunlight at any given moment, is the solar intensity at noon, is the light intensity attenuation coefficient, It is noon time; According to the solar radiation intensity model, a collector angle adjustment model is established to calculate the inclination angle of the collector panel. The formula of the collector angle adjustment model is: , Where: For the collector panel at time The tilt angle, is the collector panel tilt angle adjustment factor, is the maximum adjustment angle of the collector panel, For time The intensity of sunlight at any given moment, is the solar intensity at noon; The intelligent control module establishes an operation cycle model for adjusting the collector according to the solar illumination time data. When the operation state value of the collector is lower than the preset threshold, the collector enters a low energy consumption mode, thereby saving energy. The formula for adjusting the operation cycle model of the collector is: , Where: For time The operating status value of the collector at the moment. When the operating status value is 1, it means the collector is running at full power. When the operating status value is less than 1, it means the collector is running at partial power. When the operating status value is less than 0.2, it means the collector enters low energy consumption mode. For time The intensity of sunlight at any given moment, is the preset solar intensity threshold, It's 6 o'clock in the morning. At 18:00 in the evening, The decay rate of the collector power when the collector enters the low energy consumption mode; At the same time, when the temperature of the heat storage medium in the heat storage module reaches the preset upper limit, the intelligent control module limits the flow of heat energy to the thermoelectric conversion module by closing some valves to avoid the conversion of excessive heat energy; The intelligent control module monitors the output power of the thermoelectric conversion device in real time through the data acquisition module. When it detects that the output power is lower than the preset target value, the intelligent control module increases the flow rate of the working fluid to improve the working efficiency of the thermoelectric conversion device.

[0023] Furthermore, the optimization scheduling module establishes a supply optimization model to optimize energy supply, and establishes a load model to predict future power load demand, reduce energy waste, and improve energy utilization, including the following specific contents: Based on the real-time data of temperature, solar radiation intensity, and heat supplied by the heat storage module, a supply optimization model is established to optimize energy supply and improve the efficiency of thermoelectric conversion. The formula of the supply optimization model is: , Where: For time Thermoelectric conversion efficiency at the moment, is the thermoelectric conversion efficiency coefficient, For time The actual amount of heat supplied by the heat storage module at any given moment. For time The heating demand of the load at any time, For time The temperature of the heat storage medium at the moment, is the optimal working temperature of the heat storage medium, is the temperature influence coefficient, controlling the temperature of the heat storage medium Optimal working temperature of heat storage medium The influence of the deviation between For time The intensity of sunlight at any moment, is the light influencing factor, controlling the sunlight intensity The effect on the thermoelectric conversion efficiency is When the solar radiation intensity is lower than the preset threshold, the optimization scheduling module adjusts the tilt angle of the collector panel to keep it perpendicular to the solar beam, maximize the receiving area of ​​the light, and improve the absorption rate of the collector panel to the light energy; > When < When , the optimization scheduling module increases the heat flow of the heat storage module and increases the working time of the collector; when When the optimal scheduling module reduces the flow of heat medium into the thermoelectric conversion device, thereby reducing the heat transfer. When the heat transfer is increased, the optimization scheduling module increases the flow of heat medium into the thermoelectric conversion device, thereby increasing the heat transfer; According to the historical power load demand, a load model is established to predict the future power load demand, and heat storage scheduling is carried out in advance to reduce energy waste, improve energy utilization, and ensure that the system can meet the power load demand in time. The formula of the load model is: , Where: For prediction time The power load demand at any time, The average power load demand calculated for historical data, where satisfy , is the total time points of historical data, For at time point The power load demand, For time The power load demand at the previous moment, is the impact of the power load demand at the previous moment on the current power load forecast, For time The intensity of sunlight at any given moment, For time Sunlight intensity at any time Impact on power load forecasting, For time The temperature of the heat storage medium at the moment, For time Temperature of heat storage medium at the moment Impact on power load forecasting, It is a regulating factor used to balance the model and avoid over-inflation of the predicted value; If the predicted time Power load demand at any time Greater than the preset power load demand , reduce the speed of the generator to reduce the power output of the generator and reduce energy waste; if the predicted time Power load demand at any time Less than the preset power load demand , increase the speed of the generator and perform heat storage scheduling in advance, increase the heat storage capacity, improve energy utilization, and ensure that the system can meet the power load demand in a timely manner.

[0024] The present invention absorbs solar radiation and converts it into heat energy through the solar collector in the solar thermal collection module, and transfers the heat energy from the collector to the heat storage module. The solar thermal collection module is also provided with a heat preservation unit and a protection unit. The heat preservation unit effectively prevents heat loss through convection and radiation, and the protection unit prevents the collector from being damaged, thereby extending the service life. The heat storage module adjusts the heat output speed through a heat control valve to ensure the provision of a stable heat energy supply. The thermoelectric conversion module converts the heat energy in the heat storage module into electrical energy and provides it to the load for use. The data acquisition module monitors the key parameters of the system operation in real time through sensors and processes the collected data. The intelligent control module can adaptively adjust the operating parameters of the collector, the heat storage module and the thermoelectric conversion module according to the data collected by the sensors to ensure the stable operation of the system. The optimization scheduling module establishes a supply optimization model based on the real-time acquired temperature, solar light intensity, and heat data supplied by the heat storage module, optimizes the energy supply, and improves the thermoelectric conversion efficiency. According to the historical power load demand, a load model is established to predict the future power load demand, and heat storage scheduling is performed in advance to reduce energy waste and improve energy utilization.

[0025] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0026] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A comprehensive energy optimization scheduling system based on adaptive regulation, characterized in that: It includes a solar thermal collection module, a heat storage module, a thermoelectric conversion module, a data acquisition module, an intelligent control module and an optimization scheduling module. The solar thermal collection module is used to collect and absorb solar radiation and convert solar energy into thermal energy; the thermal storage module is used to store the thermal energy generated by the solar thermal collection module; the thermoelectric conversion module converts the thermal energy stored in the thermal storage module into electrical energy and provides it to the load for use; the data acquisition module is responsible for collecting key parameters related to the operation of the system; the intelligent control module adaptively adjusts the operating parameters of the collector, the heat storage module and the thermoelectric conversion module according to the data collected by the sensor to ensure that the system maintains stable operation; the optimization scheduling module establishes a supply optimization model based on the real-time acquired temperature, solar light intensity, and heat data supplied by the thermal storage module to optimize the energy supply and improve the thermoelectric conversion efficiency. The formula of the supply optimization model is: ， Where: For time Thermoelectric conversion efficiency at the moment, is the thermoelectric conversion efficiency coefficient, For time The actual amount of heat supplied by the heat storage module at any given moment. For time The heating demand of the load at any time, For time The temperature of the heat storage medium at the moment, is the optimal working temperature of the heat storage medium, is the temperature influence coefficient, controlling the temperature of the heat storage medium Optimal working temperature of heat storage medium The influence of the deviation between For time The intensity of sunlight at any moment, is the light influencing factor, controlling the sunlight intensity Impact on thermoelectric conversion efficiency.

2. According to claim 1, a comprehensive energy optimization scheduling system based on adaptive regulation is characterized in that The optimization scheduling module also establishes a load model based on historical power load demand, predicts future power load demand, performs heat storage scheduling in advance, reduces energy waste, improves energy utilization, and ensures that the system can meet power load demand in a timely manner. The formula of the load model is: ， Where: For prediction time The power load demand at any time, The average power load demand calculated for historical data, where satisfy , is the total time points of historical data, For at time point The power load demand, For time The power load demand at the previous moment, is the impact of the power load demand at the previous moment on the current power load forecast, For time The intensity of sunlight at any given moment, For time Sunlight intensity at any time Impact on power load forecasting, For time The temperature of the heat storage medium at the moment, For time Temperature of heat storage medium at the moment Impact on power load forecasting, It is an adjustment factor used to balance the model and avoid over-inflation of the predicted value.

3. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that The intelligent control module uses the collected sunlight intensity data and sunlight time data to establish a sunlight intensity model to evaluate the solar energy resources in the current environment. When insufficient light intensity is detected, the intelligent control module adjusts the angle of the collector panel to maximize the light receiving area, thereby improving the efficiency of heat energy acquisition. The formula of the sunlight intensity model is: ， Where: For time The intensity of sunlight at any given moment, is the solar intensity at noon, is the light intensity attenuation coefficient, It is noon time; According to the solar radiation intensity model, a collector panel angle adjustment model is established to calculate the inclination angle of the collector panel. The formula of the collector panel angle adjustment model is: ， Where: For the collector panel at time The tilt angle, is the collector panel tilt angle adjustment factor, is the maximum adjustment angle of the collector panel, For time The intensity of sunlight at any given moment, is the solar intensity at noon.

4. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that The intelligent control module also establishes an operation cycle model for adjusting the collector according to the solar illumination time data. When the operation state value of the collector is lower than the preset threshold, it enters the low energy consumption mode to save energy. The formula for adjusting the operation cycle model of the collector is: ， Where: For time The operating status value of the collector at the moment. When the operating status value is 1, it means the collector is running at full power. When the operating status value is less than 1, it means the collector is running at partial power. When the operating status value is less than 0.2, it means the collector enters low energy consumption mode. For time The intensity of sunlight at any given moment, is the preset solar intensity threshold, It's 6 o'clock in the morning. At 18:00 in the evening, It is the decay rate of collector power when the collector enters low energy consumption mode.

5. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that: The data acquisition module is connected to the heat storage module, the solar energy heat collection module and the thermoelectric conversion module respectively, the intelligent control module is connected to the data acquisition module, and the optimization scheduling module is connected to the intelligent control module.

6. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that: The solar thermal collection module includes a solar collector, a heat transfer medium, a thermal insulation unit and a protective unit. The solar collector is responsible for absorbing solar radiation and converting it into thermal energy. After the heat transfer medium is heated, it is transported to the heat storage module through a pipeline. The thermal insulation unit prevents heat loss through convection and radiation, and the protective unit prevents the solar collector from being damaged.

7. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that: The heat storage module includes a heat storage medium and a heat control valve, wherein the heat storage medium is used to store thermal energy, and the heat control valve is used to adjust the output speed of heat.

8. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that: The thermoelectric conversion module includes a thermoelectric conversion unit, a thermoelectric conversion controller and a generator. The thermoelectric conversion unit converts thermal energy into electrical energy. The thermoelectric conversion controller is responsible for adjusting the operating power of the thermoelectric conversion device. The generator converts the energy generated by the thermoelectric conversion device into electricity and directly supplies it to the load.

9. The comprehensive energy optimization scheduling system based on adaptive regulation according to claim 1 is characterized in that: The data acquisition module includes a light sensor, a temperature sensor, a power monitor and a data processing unit. The light sensor is used to monitor the sunlight intensity and illumination time, the temperature sensor is used to measure the temperature data of the heat storage medium, and the power monitor is used to monitor the output power of the thermoelectric conversion unit and the power demand of the load.

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