Water system air conditioner automatic regulation and control method based on virtual power plant

Abstract

The application belongs to the technical field of virtual power plants, and discloses a water system air conditioner automatic regulation and control method based on a virtual power plant, and the use steps of the method are as follows: S1, the system is an automatic method, and the air conditioner states of all users connected to the system are read; S2, the indoor and outdoor temperatures are monitored, and a water temperature relationship model is maintained; S3, an air conditioner efficiency model is established and maintained; S4, order monitoring and automatic regulation and control; S5, judgment and operation after water temperature regulation; S6, regulation and control during peak regulation; S7, multi-order processing and multi-thread operation; and S8, automatic regulation and control summary. The application provides an air conditioner automatic regulation and control method, which brings great convenience to central air conditioner order management personnel of virtual power plant transactions. Through the automatic strategy, the management personnel can focus more on business orders, and need not participate in the equipment instruction operation during peak regulation, so that the method effectively reduces human error operation and reduces the risk of poor user experience.

Description

Technical Field

[0001] This invention belongs to the field of virtual power plant technology, specifically a method for automated control of water system air conditioning based on a virtual power plant. Background Technology

[0002] The current energy situation is severe, with rising costs of thermal power and a widening gap between production and demand, leading to a greater power shortage. During peak electricity consumption periods, such as the hot summer months, the power load limit is exceeded and gradually intensifies. The grid connection of wind and solar power generation introduces more uncertainty into the power system, increasing the challenge to flexible regulation. This has led to the emergence of the concept of virtual power plants. Virtual power plants can tap into, aggregate, and release resources on both the supply and demand sides, ensuring the flexibility of power system regulation, smoothing peak load limits, and alleviating problems such as excessive peak-valley differences and power supply shortages. Central air conditioning is a crucial element in this process, contributing significantly to the increasing peak-valley load difference and the prominence of peak loads. Currently, most responses to virtual power plant transactions rely on manual transmission of peak-shaving commands, resulting in rigid regulation, poor user experience, and low economic efficiency for air conditioning users. Summary of the Invention

[0003] The purpose of this invention is to provide an automated control method for air conditioning in a water system based on a virtual power plant, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for automated control of air conditioning in a water system based on a virtual power plant. The system involved in this method consists of an automated control service, a database, and a configuration terminal, and is interconnected with the upper-layer business interface of the virtual power plant and the lower-layer interface of the air conditioning gateway. The steps for using this method are as follows:

[0005] S1, The system starts automatically and reads the air conditioning status of each user connected to the system;

[0006] S2, a model for monitoring the relationship between indoor and outdoor temperatures and maintenance water temperature:

[0007] S3, Establish and maintain an air conditioning efficiency model;

[0008] S4, Order Monitoring and Automated Control: The system continuously monitors instructions from the order processing system and performs automated control based on the previous model;

[0009] S5, Judgment and Operation After Water Temperature Adjustment; Ensuring intelligent control of the air conditioner requires a series of judgments and operations;

[0010] S6, Peak shaving period control: To ensure stable operation of air conditioning during peak shaving, it is necessary to continuously check whether the current load meets the peak shaving requirements before the end of peak shaving.

[0011] S7, Multi-order processing and multi-threaded operation: To improve work efficiency and response speed, the system adopts multi-threaded operation technology to process multiple orders;

[0012] S8, Summary of Automated Control: After completing a series of automated control operations, the system will summarize and generate a report.

[0013] Preferably,

[0014] The step of reading the air conditioning status of each user in the access system is to ensure intelligent control of the air conditioning. This requires acquiring data from multiple sources and processing and analyzing this data. The steps are as follows:

[0015] A1, Meter information reported through the user-side edge gateway: The user-side edge gateway is a key communication device that can collect and transmit various data. Through its connection with the meter, it obtains the current load status of the air conditioner.

[0016] A2, Reporting messages via the air conditioning gateway: The air conditioning gateway is a device specifically designed to communicate with air conditioning equipment. By connecting to the air conditioning gateway, indoor temperature data is read in real time. In addition, combined with real-time temperature data from weather forecasts, the current temperature difference is calculated, which directly affects user comfort and the operating efficiency of the air conditioner. By calculating and analyzing the temperature difference, the air conditioning control strategy can be further optimized.

[0017] A3, Read the current air conditioner settings: In addition to temperature data, the air conditioner settings are also very important. By communicating with the air conditioner gateway, we can obtain various current air conditioner settings, target temperature and mode settings.

[0018] A4. Collect data and store it in the database every 1 minute: To ensure the real-time nature and accuracy of the data, the above data will be collected every 1 minute and quickly stored in the database. High-frequency data collection can provide more detailed information, which will help to conduct more accurate analysis and control.

[0019] Preferably,

[0020] The aforementioned model for monitoring the relationship between indoor and outdoor temperatures and maintenance water temperature is designed to ensure intelligent control of the water-based air conditioning system. Outdoor temperature and weather conditions directly affect the operating efficiency of the air conditioning system and user comfort. The specific steps are as follows:

[0021] B1. Obtain local real-time weather information: By connecting with the data interface of the meteorological department, this automated method obtains local real-time weather information, including temperature, humidity, wind speed, and rainfall.

[0022] B2, Read real-time data from indoor temperature and humidity sensors: At the user end, this automation method monitors indoor temperature and humidity in real time through temperature and humidity sensors to ensure timely understanding of the actual indoor environment.

[0023] B3, Calculation of the relationship between the water purifier outlet temperature and the outdoor temperature during the calculation period: In order to ensure that the water temperature matches the outdoor temperature and avoids being too cold or too hot, this automated method will calculate based on the current outdoor temperature and the preset outlet temperature.

[0024] B4, Calculation of the relationship between water purifier outlet temperature and indoor temperature: In addition to the relationship with the outdoor temperature, the water purifier outlet temperature also needs to match the actual indoor temperature. Through 5 minutes of data collection and calculation, an automated method determines whether the outlet temperature is suitable for the indoor temperature and makes adjustments as needed.

[0025] B5, Iterative 7*24-hour time-period model library: In order to better adapt to different weather and time periods, this automated method will iterate and update the model library based on data from the past 7 days.

[0026] Preferably,

[0027] Establishing and maintaining an air conditioning efficiency model is to ensure that the air conditioner always operates efficiently. This requires close monitoring of its outlet water temperature regulation and temperature changes from the temperature and humidity sensors. The maintenance steps are as follows:

[0028] C1, Monitor the air conditioner's outlet water temperature adjustment actions: In order to understand the air conditioner's operating status and efficiency, it is necessary to monitor its outlet water temperature adjustment actions in real time. By communicating with the air conditioning system, real-time outlet water temperature data can be obtained and its adjustment actions can be analyzed.

[0029] C2, Monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals: The temperature and humidity sensor is a key device for monitoring indoor temperature and humidity. To better understand the operating efficiency of the air conditioner, it is necessary to monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals. By analyzing this data, it is possible to determine whether the air conditioning system can quickly reduce the indoor temperature to the set value and to evaluate its operating efficiency.

[0030] C3, Calculate the temperature and load efficiency values ​​for a unit time period: In order to more accurately evaluate the efficiency of the air conditioner, it is necessary to calculate the temperature and load efficiency values ​​for a unit time period, which is achieved by the following formula: (load power * time) / (initial temperature - ending temperature).

[0031] Or (total energy consumption during this period) / (initial temperature - ending temperature);

[0032] C5, Iterative 7*24-hour time period model library: In order to ensure the accuracy and real-time performance of the model, it is necessary to continuously iterate and update the 7*24-hour time period model library. By collecting and analyzing data from different time periods, we can better understand the operating rules and efficiency of the air conditioning system and optimize its control strategy.

[0033] Preferably,

[0034] The specific steps for order monitoring and automated control are as follows:

[0035] D1, Check and read all order information from the business platform: The business platform is the core system for managing orders and user information. By connecting to the business platform, all order information can be obtained;

[0036] D2, Check if there are any orders near the peak shaving time: To ensure the stable operation of the power system, there are usually peak shaving periods. It is necessary to check if there are any orders near these periods. By interacting with the business platform, we can obtain the detailed information of these orders.

[0037] D3, Read user air conditioning information, current load, and necessary weather parameters for orders placed near peak hours: To make accurate adjustments, it is necessary to understand the user's air conditioning status, current load, and key weather parameters;

[0038] D4. For users with orders nearing peak hours, determine the perceived temperature limits of each terminal: To ensure user comfort, it is necessary to determine the perceived temperature of each terminal. If the temperature exceeds the preset limit, measures need to be taken to adjust it.

[0039] D5, Read the relationship data between meteorological temperature and outlet water temperature for the current period from the model library: The model library is where air conditioning operation data and related models are stored;

[0040] D6. Read the relationship data between room temperature and outlet water temperature for the current period from the model library: The relationship between room temperature and outlet water temperature is one of the key factors affecting the operation of air conditioning. By reading this data from the model library, we can better understand the current room temperature status and predict future changes.

[0041] D7. Read the temperature and load efficiency values ​​for the current time period from the model library: In order to evaluate the operating efficiency of the air conditioner, it is necessary to know the temperature and load efficiency values ​​for the current time period. This data helps to determine whether the air conditioner is operating in the best condition and to take corresponding measures to optimize it.

[0042] D8. If the model library does not have data for the current time period, the adjustment command will be issued according to the business preset water temperature: If there is no data for the current time period, the adjustment command will be issued according to the business preset water temperature. The preset water temperature is usually an empirical value that can meet the needs in most cases.

[0043] D9, If there is an efficiency value for the current time period, calculate the outlet water temperature and issue an adjustment command: If there is an efficiency value for the current time period in the model library, calculate the appropriate outlet water temperature based on these data and issue the corresponding adjustment command.

[0044] If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued:

[0045] Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

[0046] Preferably,

[0047] The judgment and operation steps after water temperature adjustment are as follows:

[0048] E1, Delay for one unit time period: After the water temperature adjustment is completed, a certain period of time is needed to ensure that the adjustment effect is reflected. The time is usually one unit time period to obtain accurate air conditioning status data;

[0049] E2, Reassess Peak Shaving Demand: After the delay, reassess whether peak shaving needs to be initiated, based on current order information and weather conditions.

[0050] E3, Determine and adjust to user comfort: If peak shaving is not required, further determine whether the current sensor temperature is below the threshold that the user can tolerate. If so, take measures to adjust and ensure user comfort.

[0051] E4, Continuous Temperature and Pressure Control: Before peak shaving, continuous temperature and pressure control is performed to lower the indoor temperature by adjusting the outlet water temperature of the air conditioner;

[0052] E5, Check and fulfill peak shaving order requirements: After the peak shaving time arrives, check whether the current load meets the requirements of the peak shaving orders. If not, adjust the orders to meet the load requirements.

[0053] E6, Read Air Conditioning Parameters and Model Data: Read the latest air conditioning parameters from the cache, including current load, air conditioning water temperature, indoor and outdoor temperature difference, and air conditioning status. At the same time, read meteorological, room temperature, and outlet water temperature data related to the current time period from the model library.

[0054] E7, Calculate and issue water temperature adjustment instructions: Based on the efficiency value and other relevant parameters of the current period, use the formula to calculate the appropriate initial temperature and issue the corresponding water temperature adjustment instructions;

[0055] If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued:

[0056] Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

[0057] Preferably,

[0058] The specific steps for continuous inspection and adjustment before the end of peak shaving in S6 are as follows;

[0059] F1, Monitor and Adjust Load: Continuously monitor the air conditioning load to ensure it matches peak demand. If the load is found to be insufficient, adjust it immediately.

[0060] F2, Cyclic Judgment and Operation: Based on the current load and other relevant parameters, judgments are made, and water temperature and pressure-temperature operations are performed to ensure load stability;

[0061] F3, Maintaining Load Stability: The goal is to ensure that the air conditioning load can continuously meet the peak-shaving demand before the end of peak-shaving. This is achieved through cyclical judgment and operation to promptly identify and resolve factors that may lead to load instability.

[0062] F4. Reasonable setting of inspection and adjustment frequency: In order to ensure the effectiveness of real-time monitoring, it is necessary to reasonably set the frequency of cyclic inspection and adjustment. The setting should be made according to the actual situation to avoid excessive resource consumption or failure to detect problems in time.

[0063] The following steps are required after peak shaving is completed:

[0064] G1, Stop Load Check: When the peak load adjustment ends, the air conditioner will stop real-time monitoring of the load. At this time, the air conditioner will return to the preset parameters and mode and operate automatically.

[0065] G2, Restore Default Parameters for All Terminals: To ensure stable operation of the air conditioner in normal mode, the default parameters for each terminal will be restored.

[0066] G3 allows users to manually set air conditioning parameters: After the peak shaving period ends, users can set air conditioning parameters according to their own needs, including temperature, mode and fan speed, which can meet users' personalized needs and improve their comfort experience.

[0067] G4, Performance Evaluation and Optimization: After the peak shaving period ends, the performance of the air conditioner will be evaluated. Based on the evaluation results, necessary optimization operations will be carried out to improve the operating efficiency and user experience of the air conditioner.

[0068] Preferably, the multi-order processing and multi-threaded operation is based on peak-shaving orders and cleverly combines three independently running modules: load monitoring, temperature regulation, and energy management.

[0069] Preferably, the automated control refers to the automatic control of industrial processes, equipment, or systems using computer, sensor, and actuator technologies.

[0070] The beneficial effects of this invention are as follows:

[0071] This invention provides an automated air conditioning control method, which greatly facilitates central air conditioning order management personnel in virtual power plant transactions. Through automation strategies, this method allows managers to focus more on business orders without excessive involvement in equipment operation during peak shaving periods. This effectively reduces human error and the risk of poor user experience. Simultaneously, it lowers the need for specialized skills among business personnel, entrusting complex control operations to the automated system, thereby reducing reliance on human expertise. Through automated control, central air conditioning order management in virtual power plant transactions becomes more efficient and accurate, allowing managers to focus more on business development. This provides new ideas for future energy management and power dispatching. This innovative method brings revolutionary changes to central air conditioning order management in virtual power plant transactions, making a significant contribution to promoting sustainable energy development and improving user comfort. Attached Figure Description

[0072] Figure 1 This is a flowchart of the automatic air conditioning control process of the present invention;

[0073] Figure 2 This is a flowchart of the virtual power plant automated control platform of the present invention. Detailed Implementation

[0074] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0075] like Figures 1 to 2 As shown in the figure, this invention provides a method for automated control of air conditioning in a water system based on a virtual power plant. The system involved in this method consists of an automated control service, a database, and a configuration terminal, and is connected to the upper-layer business interface of the virtual power plant and the lower-layer interface of the air conditioning gateway. The steps for using this method are as follows:

[0076] S1, The system starts automatically and reads the air conditioning status of each user connected to the system;

[0077] S2, a model for monitoring the relationship between indoor and outdoor temperatures and maintenance water temperature:

[0078] S3, Establish and maintain an air conditioning efficiency model;

[0079] S4, Order Monitoring and Automated Control: The system continuously monitors instructions from the order processing system and performs automated control based on the previous model;

[0080] S5, Judgment and Operation After Water Temperature Adjustment; Ensuring intelligent control of the air conditioner requires a series of judgments and operations;

[0081] S6, Peak shaving period control: To ensure stable operation of air conditioning during peak shaving, it is necessary to continuously check whether the current load meets the peak shaving requirements before the end of peak shaving.

[0082] S7, Multi-order processing and multi-threaded operation: To improve work efficiency and response speed, the system adopts multi-threaded operation technology to process multiple orders;

[0083] S8, Summary of Automated Control: After completing a series of automated control operations, the system will summarize and generate a report.

[0084] The step of reading the air conditioning status of each user in the access system is to ensure intelligent control of the air conditioning. This requires acquiring data from multiple sources and processing and analyzing this data, as follows:

[0085] A1, Meter information reported through the user-side edge gateway: The user-side edge gateway is a key communication device that can collect and transmit various data. Through its connection with the meter, it obtains the current load status of the air conditioner.

[0086] A2, Reporting messages via the air conditioning gateway: The air conditioning gateway is a device specifically designed to communicate with air conditioning equipment. By connecting to the air conditioning gateway, indoor temperature data is read in real time. In addition, combined with real-time temperature data from weather forecasts, the current temperature difference is calculated, which directly affects user comfort and the operating efficiency of the air conditioner. By calculating and analyzing the temperature difference, the air conditioning control strategy can be further optimized.

[0087] A3, Read the current air conditioner settings: In addition to temperature data, the air conditioner settings are also very important. By communicating with the air conditioner gateway, we can obtain various current air conditioner settings, target temperature and mode settings.

[0088] A4. Data collection and storage every 1 minute: To ensure the real-time nature and accuracy of the data, the above data will be collected every 1 minute and quickly stored in the database. High-frequency data collection provides more detailed information, facilitating more precise analysis and control. Acquiring and processing data from multiple sources allows for a comprehensive understanding of the air conditioning status of each user connected to the system. This data provides valuable information for smarter and more efficient air conditioning control, thereby improving user comfort, reducing energy consumption, and promoting sustainable development.

[0089] The aforementioned model for monitoring the relationship between indoor and outdoor temperatures and maintenance water temperature is designed to ensure intelligent control of the water-based air conditioning system. Outdoor temperature and weather conditions directly affect the operating efficiency of the air conditioning system and user comfort. The specific steps are as follows:

[0090] B1. Obtain local real-time weather information: By connecting with the data interface of the meteorological department, this automated method obtains local real-time weather information, including temperature, humidity, wind speed, and rainfall.

[0091] B2, Read real-time data from indoor temperature and humidity sensors: At the user end, this automation method monitors indoor temperature and humidity in real time through temperature and humidity sensors to ensure timely understanding of the actual indoor environment.

[0092] B3, Calculation of the relationship between the water purifier outlet temperature and the outdoor temperature during the calculation period: In order to ensure that the water temperature matches the outdoor temperature and avoids being too cold or too hot, this automated method will calculate based on the current outdoor temperature and the preset outlet temperature.

[0093] B4, Calculation of the relationship between the water purifier's outlet water temperature and the indoor temperature: In addition to the relationship with the outdoor temperature, the water purifier's outlet water temperature also needs to match the actual indoor temperature. Through 5 minutes of data collection and calculation, an automated method determines whether the outlet water temperature is suitable for the indoor temperature and makes adjustments as needed.

[0094] B5, Iterative 7*24-hour Time-Period Model Library: To better adapt to different weather conditions and time periods, this automated method iterates and updates the model library based on data from the past 7 days. This includes outdoor temperature, outlet water temperature, and indoor temperature data for each time period, ensuring the accuracy and real-time performance of the control strategy.

[0095] The above steps offer a comprehensive and integrated perspective. This method not only focuses on indoor temperature but also fully considers outdoor meteorological conditions such as temperature, humidity, wind speed, and rainfall, thus providing a more accurate control strategy. By acquiring this data in real time, this automated method can make decisions based on actual data, improving the accuracy and real-time nature of decision-making. Furthermore, this method fully considers user comfort needs, focusing not only on the operating efficiency of the air conditioner but also on meeting user comfort preferences. Through 5 minutes of data collection and calculation, this method can determine whether the outlet water temperature is suitable for the indoor temperature and adjust it as needed. Establishing this relationship model helps to better meet user comfort needs and optimize energy consumption. The method is also scalable and flexible, adjusting according to different weather conditions and time periods. Through iterative updates of a 24 / 7 time-period model library, this method can continuously optimize the control strategy, improving control effectiveness and user satisfaction. This comprehensive approach not only improves the operating efficiency of the air conditioning system but also helps reduce energy consumption and carbon emissions, contributing to sustainable development.

[0096] The establishment and maintenance of an air conditioning efficiency model is to ensure that the air conditioner always operates efficiently. This requires close monitoring of its outlet water temperature regulation and temperature changes from the temperature and humidity sensors. The maintenance steps are as follows:

[0097] C1, Monitor the air conditioner's outlet water temperature adjustment actions: In order to understand the air conditioner's operating status and efficiency, it is necessary to monitor its outlet water temperature adjustment actions in real time. By communicating with the air conditioning system, real-time outlet water temperature data can be obtained and its adjustment actions can be analyzed.

[0098] C2, Monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals: The temperature and humidity sensor is a key device for monitoring indoor temperature and humidity. To better understand the operating efficiency of the air conditioner, it is necessary to monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals. By analyzing this data, it is possible to determine whether the air conditioning system can quickly reduce the indoor temperature to the set value and to evaluate its operating efficiency.

[0099] C3, Calculate the temperature and load efficiency values ​​for a unit time period: In order to more accurately evaluate the efficiency of the air conditioner, it is necessary to calculate the temperature and load efficiency values ​​for a unit time period, which is achieved by the following formula: (load power * time) / (initial temperature - ending temperature).

[0100] Or (total energy consumption during this period) / (initial temperature - ending temperature);

[0101] C5, Iterative 7*24-hour time period model library: In order to ensure the accuracy and real-time performance of the model, it is necessary to continuously iterate and update the 7*24-hour time period model library. By collecting and analyzing data from different time periods, we can better understand the operating rules and efficiency of the air conditioning system and optimize its control strategy.

[0102] Maintaining an air conditioning efficiency model is an ongoing process. By monitoring the air conditioner's outlet water temperature adjustment actions and temperature changes from temperature and humidity sensors in real time, and calculating the temperature and load efficiency values ​​per unit time period, an accurate model is built to better maintain and optimize the air conditioner's operating efficiency. This will help reduce energy consumption, improve user comfort, and promote sustainable development.

[0103] The specific steps for order monitoring and automated control are as follows:

[0104] D1, Check and read all order information from the business platform: The business platform is the core system for managing orders and user information. By connecting to the business platform, all order information can be obtained;

[0105] D2, Check if there are any orders near the peak shaving time: To ensure the stable operation of the power system, there are usually peak shaving periods. It is necessary to check if there are any orders near these periods. By interacting with the business platform, we can obtain the detailed information of these orders.

[0106] D3, Read user air conditioning information, current load, and necessary weather parameters for orders placed near peak hours: To make accurate adjustments, it is necessary to understand the user's air conditioning status, current load, and key weather parameters;

[0107] D4. For users with orders nearing peak hours, determine the perceived temperature limits of each terminal: To ensure user comfort, it is necessary to determine the perceived temperature of each terminal. If the temperature exceeds the preset limit, measures need to be taken to adjust it.

[0108] D5. Retrieves data from the model library showing the relationship between meteorological temperature and outlet water temperature for the current period: The model library stores air conditioning operation data and related models. By retrieving the data on the relationship between meteorological temperature and outlet water temperature from the model library, we can better understand the current operating status and predict future changes;

[0109] D6. Read the relationship data between room temperature and outlet water temperature for the current period from the model library: The relationship between room temperature and outlet water temperature is one of the key factors affecting the operation of air conditioning. By reading this data from the model library, we can better understand the current room temperature status and predict future changes.

[0110] D7. Read the temperature and load efficiency values ​​for the current time period from the model library: In order to evaluate the operating efficiency of the air conditioner, it is necessary to know the temperature and load efficiency values ​​for the current time period. This data helps to determine whether the air conditioner is operating in the best condition and to take corresponding measures to optimize it.

[0111] D8. If the model library does not have data for the current time period, the adjustment command will be issued according to the business preset water temperature: If there is no data for the current time period, the adjustment command will be issued according to the business preset water temperature. The preset water temperature is usually an empirical value that can meet the needs in most cases.

[0112] D9, If there is an efficiency value for the current time period, calculate the outlet water temperature and issue an adjustment command: If there is an efficiency value for the current time period in the model library, calculate the appropriate outlet water temperature based on these data and issue the corresponding adjustment command.

[0113] If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued:

[0114] Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

[0115] By monitoring orders and automating corresponding adjustments, intelligent control of air conditioning can be achieved. This helps improve energy efficiency, reduce energy consumption, ensure user comfort, and promote sustainable development.

[0116] The judgment and operation steps after water temperature adjustment are as follows:

[0117] E1, Delay for one unit time period: After the water temperature adjustment is completed, a certain period of time is needed to ensure that the adjustment effect is reflected. The time is usually one unit time period to obtain accurate air conditioning status data;

[0118] E2, Reassess Peak Shaving Demand: After the delay, reassess whether peak shaving needs to be initiated, based on current order information and weather conditions.

[0119] E3, Determine and adjust to user comfort: If peak shaving is not required, further determine whether the current sensor temperature is below the threshold that the user can tolerate. If so, take measures to adjust and ensure user comfort.

[0120] E4, Continuous Temperature and Pressure Control: Before peak shaving, continuous temperature and pressure control is performed to lower the indoor temperature by adjusting the outlet water temperature of the air conditioner;

[0121] E5, Check and fulfill peak shaving order requirements: After the peak shaving time arrives, check whether the current load meets the requirements of the peak shaving orders. If not, adjust the orders to meet the load requirements.

[0122] E6, Read Air Conditioning Parameters and Model Data: Read the latest air conditioning parameters from the cache, including current load, air conditioning water temperature, indoor and outdoor temperature difference, and air conditioning status. At the same time, read meteorological, room temperature, and outlet water temperature data related to the current time period from the model library.

[0123] E7 calculates and issues water temperature adjustment commands: Based on the efficiency value and other relevant parameters for the current period, a suitable initial temperature is calculated using a formula, and the corresponding water temperature adjustment command is issued. This ensures that the air conditioner operates at high efficiency while meeting the user's comfort needs;

[0124] If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued:

[0125] Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

[0126] The specific steps for continuous checking and adjustment before the end of peak shaving in S6 are as follows;

[0127] F1, Monitor and Adjust Load: Continuously monitor the air conditioning load to ensure it matches peak demand. If the load is found to be insufficient, adjust it immediately.

[0128] F2, Cyclic Judgment and Operation: Based on the current load and other relevant parameters, judgments are made, and water temperature and pressure-temperature operations are performed to ensure load stability;

[0129] F3, Maintaining Load Stability: The goal is to ensure that the air conditioning load can continuously meet the peak-shaving demand before the end of peak-shaving. This is achieved through cyclical judgment and operation to promptly identify and resolve factors that may lead to load instability.

[0130] F4. Reasonable setting of inspection and adjustment frequency: In order to ensure the effectiveness of real-time monitoring, it is necessary to reasonably set the frequency of cyclic inspection and adjustment. The setting should be made according to the actual situation to avoid excessive resource consumption or failure to detect problems in time.

[0131] It helps air conditioners operate stably during peak periods, meeting peak demand and ensuring user comfort and efficient energy use.

[0132] The following steps are required after peak shaving is completed:

[0133] G1, Stop Load Check: When the peak load adjustment ends, the air conditioner will stop real-time monitoring of the load. At this time, the air conditioner will return to the preset parameters and mode and operate automatically.

[0134] G2, Restore Default Parameters for All Terminals: To ensure stable operation of the air conditioner in normal mode, the default parameters for each terminal will be restored. These parameters are those set at the factory or saved after the last use. This step ensures that the air conditioner returns to its initial state, ready for the next use;

[0135] G3 allows users to manually set air conditioning parameters: After the peak shaving period ends, users can set air conditioning parameters according to their own needs, including temperature, mode and fan speed, which can meet users' personalized needs and improve their comfort experience.

[0136] G4, Performance Evaluation and Optimization: After the peak shaving period ends, the performance of the air conditioner will be evaluated. Based on the evaluation results, necessary optimization operations will be carried out to improve the operating efficiency and user experience of the air conditioner.

[0137] The multi-order processing and multi-threaded operation is based on peak-shaving orders and cleverly combines three independent, cyclically operating modules: load monitoring, temperature regulation, and energy management. The load monitoring module monitors the load status of the air conditioning system in real time, comprehensively considering factors such as weather, indoor and outdoor temperatures, and the number of people, to accurately calculate heating and cooling demands and ensure a perfect match with peak-shaving orders. The temperature regulation module intelligently adjusts the air conditioning's operating mode and temperature according to the user's personalized settings and environmental conditions to ensure smooth temperature changes and provide users with a comfortable experience. The energy management module analyzes historical data and predicts future demand.

[0138] Developing energy-saving strategies aims to reduce energy consumption and carbon emissions, achieving a win-win situation for both the economy and the environment. This can improve order processing efficiency and provide customers with a better service experience.

[0139] The aforementioned automated control refers to the automatic control of industrial processes, equipment, or systems using computer, sensor, and actuator technologies. It achieves control objectives by measuring, analyzing, and adjusting process parameters, thereby improving production efficiency and quality, reducing the need for manual intervention. Automated control mainly includes traditional PID control, fuzzy control, neural network control, and model predictive control. Through automated control, peak-shaving demands are better met, user experience is improved, and economic costs are reduced, bringing broader advantages and sustainable development prospects to users' virtual power plants.

[0140] Automated control can precisely control the production process, thereby improving production efficiency and product quality, reducing the need for manual intervention, avoiding human error and operational risks, and enhancing production safety and stability.

[0141] In energy management, automated control plays a crucial role. By monitoring energy usage in real time, forecasting energy demand, and developing rational energy dispatch plans, businesses can optimize energy utilization and achieve conservation, reducing energy consumption and costs. This not only saves costs for businesses but also helps reduce energy waste and environmental pollution, promoting sustainable development.

[0142] Furthermore, automated control offers high flexibility and scalability. Enterprises can adjust the configuration and parameters of their automated control systems according to actual needs, adapting to different production environments and energy management requirements. This provides enterprises with more opportunities for innovation and development, promoting the modernization and intelligent transformation of industrial production.

[0143] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0144] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their likenesses.

Claims

1. A method for automated control of air conditioning in a water system based on a virtual power plant, characterized in that: The system involved in this method consists of an automated control service, a database, and a configuration terminal, and is connected to the upper-layer business interface of the virtual power plant and the lower-layer interface of the air conditioning gateway. The steps for using this method are as follows: S1, The system starts automatically and reads the air conditioning status of each user connected to the system; S2, a model showing the relationship between indoor and outdoor temperatures and maintenance water temperature: S3, Establish and maintain an air conditioning efficiency model; S4, Order Monitoring and Automated Control: The system continuously monitors instructions from the order processing system and performs automated control based on the previous two models; S5, Judgment and Operation After Water Temperature Adjustment; Ensuring intelligent control of the air conditioner requires a series of judgments and operations; S6, Peak shaving period control: To ensure stable operation of air conditioning during peak shaving, it is necessary to continuously check whether the current load meets the peak shaving requirements before the end of peak shaving. S7, Multi-order processing and multi-threaded operation: To improve work efficiency and response speed, the system adopts multi-threaded operation technology to process multiple orders; S8, Summary of Automated Control: After completing a series of automated control operations, the system will summarize and generate a report; The aforementioned model for monitoring the relationship between indoor and outdoor temperatures and maintenance water temperature is designed to ensure intelligent control of the water-based air conditioning system. Outdoor temperature and weather conditions directly affect the operating efficiency of the air conditioning system and user comfort. The specific steps are as follows: B1. Obtain local real-time weather information: By connecting with the data interface of the meteorological department, this automated method obtains local real-time weather information, including temperature, humidity, wind speed, and rainfall. B2, Read real-time data from indoor temperature and humidity sensors: At the user end, this automation method monitors indoor temperature and humidity in real time through temperature and humidity sensors to ensure timely understanding of the actual indoor environment. B3, Calculation of the relationship between the water purifier outlet temperature and the outdoor temperature during the calculation period: To ensure that the water temperature matches the outdoor temperature and avoids being too cold or too hot, this automated method will calculate based on the current outdoor temperature and the preset outlet temperature; B4, Calculation of the relationship between water purifier outlet temperature and indoor temperature: In addition to the relationship with the outdoor temperature, the water purifier outlet temperature also needs to match the actual indoor temperature. Through 5 minutes of data collection and calculation, an automated method determines whether the outlet temperature is suitable for the indoor temperature and makes adjustments as needed. B5, Iterative 7*24-hour time-period model library: In order to better adapt to different weather and time periods, this automated method will iterate and update the model library based on data from the past 7 days; The establishment and maintenance of an air conditioning efficiency model is to ensure that the air conditioner always operates efficiently. It is necessary to closely monitor its outlet water temperature regulation and temperature changes of the temperature and humidity sensors. The specific steps are as follows: C1, Monitor the air conditioner's outlet water temperature adjustment actions: In order to understand the air conditioner's operating status and efficiency, it is necessary to monitor its outlet water temperature adjustment actions in real time. By communicating with the air conditioning system, real-time outlet water temperature data can be obtained and its adjustment actions can be analyzed. C2, Monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals: The temperature and humidity sensor is a key device for monitoring indoor temperature and humidity. To better understand the operating efficiency of the air conditioner, it is necessary to monitor the temperature drop of the temperature and humidity sensor in 5-minute intervals. By analyzing this data, it is possible to determine whether the air conditioning system can quickly reduce the indoor temperature to the set value and to evaluate its operating efficiency. C3, Calculate the temperature and load efficiency values ​​for a unit time period: In order to more accurately evaluate the efficiency of the air conditioner, it is necessary to calculate the temperature and load efficiency values ​​for a unit time period, which is achieved by the following formula: (load power * time) / (initial temperature - ending temperature). Or (total energy consumption during this period) / (initial temperature - ending temperature); C5, Iterative 7*24-hour time period model library: In order to ensure the accuracy and real-time performance of the model, it is necessary to continuously iterate and update the 7*24-hour time period model library. By collecting and analyzing data from different time periods, we can better understand the operating rules and efficiency of the air conditioning system and optimize its control strategy.

2. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: Reading the air conditioning status of each user in the access system is essential for ensuring intelligent air conditioning control. This requires acquiring data from multiple sources and processing and analyzing this data. The steps are as follows: A1, Meter information reported through the user-side edge gateway: The user-side edge gateway is a key communication device that can collect and transmit various data. Through its connection with the meter, it obtains the current load status of the air conditioner. A2, Reporting messages via the air conditioning gateway: The air conditioning gateway is a device specifically designed to communicate with air conditioning equipment. By connecting to the air conditioning gateway, indoor temperature data is read in real time. In addition, combined with real-time temperature data from weather forecasts, the current temperature difference is calculated, which directly affects user comfort and the operating efficiency of the air conditioner. By calculating and analyzing the temperature difference, the air conditioning control strategy can be further optimized. A3, Read the current air conditioner settings: In addition to temperature data, the air conditioner settings are also very important. By communicating with the air conditioner gateway, we can obtain various current air conditioner settings, target temperature and mode settings. A4. Collect data and store it in the database every 1 minute: To ensure the real-time nature and accuracy of the data, the above data will be collected every 1 minute and quickly stored in the database. High-frequency data collection can provide more detailed information, which will help to conduct more accurate analysis and control.

3. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: The specific steps for order monitoring and automated control are as follows: D1, Check and read all order information from the business platform: The business platform is the core system for managing orders and user information. By connecting to the business platform, all order information can be obtained; D2, Check if there are any orders near the peak shaving time: To ensure the stable operation of the power system, there are usually peak shaving periods. It is necessary to check if there are any orders near these periods. By interacting with the business platform, we can obtain the detailed information of these orders. D3, Read user air conditioning information, current load, and necessary weather parameters for orders placed near peak hours: To make accurate adjustments, it is necessary to understand the user's air conditioning status, current load, and key weather parameters; D4. For users with orders nearing peak hours, determine the perceived temperature limits of each terminal: To ensure user comfort, it is necessary to determine the perceived temperature of each terminal. If the temperature exceeds the preset limit, measures need to be taken to adjust it. D5, Read the relationship data between meteorological temperature and outlet water temperature for the current period from the model library: The model library is where air conditioning operation data and related models are stored; D6. Read the relationship data between room temperature and outlet water temperature for the current period from the model library: The relationship between room temperature and outlet water temperature is one of the key factors affecting the operation of air conditioning. By reading this data from the model library, we can better understand the current room temperature status and predict future changes. D7. Read the temperature and load efficiency values ​​for the current time period from the model library: In order to evaluate the operating efficiency of the air conditioner, it is necessary to know the temperature and load efficiency values ​​for the current time period. This data helps to determine whether the air conditioner is operating in the best condition and to take corresponding measures to optimize it. D8. If the model library does not have data for the current time period, the adjustment command will be issued according to the business preset water temperature: If there is no data for the current time period, the adjustment command will be issued according to the business preset water temperature. The preset water temperature is usually an empirical value that can meet the needs in most cases. D9, If there is an efficiency value for the current time period, calculate the outlet water temperature and issue an adjustment command: If there is an efficiency value for the current time period in the model library, calculate the appropriate outlet water temperature based on these data and issue the corresponding adjustment command. If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued: Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

4. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: The judgment and operation steps after water temperature adjustment are as follows: E1, Delay for one unit time period: After the water temperature adjustment is completed, a certain period of time is needed to ensure that the adjustment effect is reflected. The time is usually one unit time period to obtain accurate air conditioning status data; E2, Reassess Peak Shaving Demand: After the delay, reassess whether peak shaving needs to be initiated, based on current order information and weather conditions. E3, Determine and adjust to user comfort: If peak shaving is not required, further determine whether the current sensor temperature is below the threshold that the user can tolerate. If so, take measures to adjust and ensure user comfort. E4, Continuous Temperature and Pressure Control: Before peak shaving, continuous temperature and pressure control is performed to lower the indoor temperature by adjusting the outlet water temperature of the air conditioner; E5, Check and fulfill peak shaving order requirements: After the peak shaving time arrives, check whether the current load meets the requirements of the peak shaving orders. If not, adjust the orders to meet the load requirements. E6, Read Air Conditioning Parameters and Model Data: Read the latest air conditioning parameters from the cache, including current load, air conditioning water temperature, indoor and outdoor temperature difference, and air conditioning status. At the same time, read meteorological, room temperature, and outlet water temperature data related to the current time period from the model library. E7, Calculate and issue water temperature adjustment instructions: Based on the efficiency value and other relevant parameters of the current period, use the formula to calculate the appropriate initial temperature and issue the corresponding water temperature adjustment instructions; If the efficiency value for the current time period is available, the initial temperature is calculated using the following formula, and a water temperature adjustment command is issued: Preset water temperature for business use / {[current time period model efficiency * (current room temperature - perceived critical temperature)] / 100}.

5. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: The specific steps for continuous inspection and adjustment before the end of peak shaving in S6 are as follows; F1, Monitor and Adjust Load: Continuously monitor the air conditioning load to ensure it matches peak demand. If the load is found to be insufficient, adjust it immediately. F2, Cyclic Judgment and Operation: Based on the current load and other relevant parameters, judgments are made, and water temperature and pressure-temperature operations are performed to ensure load stability; F3, Maintaining Load Stability: The goal is to ensure that the air conditioning load can continuously meet the peak-shaving demand before the end of peak-shaving. This is achieved through cyclical judgment and operation to promptly identify and resolve factors that may lead to load instability. F4. Reasonable setting of inspection and adjustment frequency: In order to ensure the effectiveness of real-time monitoring, it is necessary to reasonably set the frequency of cyclic inspection and adjustment. The setting should be made according to the actual situation to avoid excessive resource consumption or failure to detect problems in time. The following steps are required after peak shaving is completed: G1, Stop Load Check: When the peak load adjustment ends, the air conditioner will stop real-time monitoring of the load. At this time, the air conditioner will return to the preset parameters and mode and operate automatically. G2, Restore Default Parameters for All Terminals: To ensure stable operation of the air conditioner in normal mode, the default parameters for each terminal will be restored. G3 allows users to manually set air conditioning parameters: After the peak shaving period ends, users can set air conditioning parameters according to their own needs, including temperature, mode and fan speed, which can meet users' personalized needs and improve their comfort experience. G4, Performance Evaluation and Optimization: After the peak shaving period ends, the performance of the air conditioner will be evaluated. Based on the evaluation results, necessary optimization operations will be carried out to improve the operating efficiency and user experience of the air conditioner.

6. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: The multi-order processing and multi-threaded operation is based on peak-shaving orders and cleverly combines three independently running modules: load monitoring, temperature regulation, and energy management.

7. The water system air conditioning automation control method based on a virtual power plant according to claim 1, characterized in that: The aforementioned automated control refers to the use of computer, sensor, and actuator technologies to achieve automatic control of industrial processes, equipment, or systems.

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