Heat supply and power generation decoupling method and system for improving peak regulation capacity of heat supply unit

Abstract

The invention discloses a heat supply and power generation decoupling method and system for improving the peak regulation capacity of a heat supply unit, and relates to the technical field of thermal power generation. Through the synergistic effect of a phase change heat storage technology and efficient electric heating equipment, the peak regulation capacity of the heat supply unit is remarkably improved, and through reasonable configuration of system components, the heat supply and power generation decoupling efficiency is improved. Balance of economical efficiency and high efficiency of the system is achieved, operation cost is reduced, operation parameters can be monitored in real time through the intelligent control unit, intelligent regulation and control can be implemented on the basis of monitoring data, meanwhile, a self-adaptive learning function is achieved, a control algorithm is optimized from historical operation data, efficiency of the system is improved, and the service life of the system is prolonged. By configuring an intelligent sensor network, a communication module and a user interface, communication safety and visual friendliness of user operation can be ensured, the problem that the peak regulation capacity of a traditional combined heat and power generation system is insufficient is effectively solved, and the system has high practicability and popularization value and is worthy of popularization. And an innovative solution can be provided for improving the overall peak regulation performance and economy.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power generation, and in particular to a method and system for decoupling heating and power generation for improving the peak load regulation capability of a heating unit. Background Art

[0002] In traditional cogeneration systems, the mismatch between the power grid and the heating load often leads to a large number of unit imbalances, increasing the system operating costs. The existing method of using heat storage systems to adjust the peak load has the problem of difficulty in balancing the heat storage capacity and regulation accuracy. When the heating demand is small and the power generation load is large, the capacity of the heat storage system and the charging and discharging rate are difficult to meet the requirements of rapid peak shaving; and when the heating peak comes, the capacity and heat release power of the heat storage system are difficult to meet the heating demand.

[0003] The existing technology of decoupling heating and power generation by configuring electric heating equipment such as electric boilers and electric heat pumps is limited by the high cost of equipment and faces the economic bottleneck of large-scale promotion and application. Therefore, how to develop new heat storage technology to improve the peak-shaving performance and economy of the heat storage system, develop efficient and compact electric heating technology to reduce system costs, achieve effective decoupling of the heating system and the power generation system, and significantly improve the overall peak-shaving capacity of the thermal power system is a current technical challenge.

[0004] Based on this, the present invention designs a method and system for decoupling heating and power generation to improve the peak-shaving capacity of a heating unit, in order to solve the above-mentioned problems. Summary of the invention

[0005] The object of the present invention is to provide a method and system for decoupling heating and power generation for improving the peak load regulation capability of a heating unit, so as to solve the above-mentioned problems.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for decoupling heating and power generation to improve the peak load regulation capability of a heating unit, comprising the following steps: S1: On the basis of the traditional cogeneration system, a new heat storage system and high-efficiency electric heating equipment are configured. The new heat storage system uses phase change heat storage technology with a phase change temperature range of 40-60°C. The high-efficiency electric heating equipment uses an electric heat pump with a COP greater than 3.5 and a rated water supply temperature of not less than 90°C. The phase change heat storage system is connected to the water supply circuit of the traditional cogeneration system and is set in parallel with the electric heat pump. S2: When the heating demand is small and the power generation load is large, the traditional heating system is turned off and the heat provided by the cogeneration system is transferred to the phase change heat storage system through the plate heat exchanger. The capacity design of the phase change heat storage system requires detailed calculation and needs to consider: (1) baseline energy consumption, (2) system efficiency, (3) actual working conditions, and (4) safety reserve factors; S3: When the heating peak comes and the heating capacity of the traditional cogeneration system cannot meet the demand, the stored heat is added to the water supply circuit. At the same time, the electric heat pump is started to heat the water supply to meet the heating load demand together with the heat storage system. The control logic gives priority to the use of stored heat, and starts supplementary electric heating when it is insufficient. S4: After the heating peak period ends, if the traditional cogeneration system still has surplus heat generation capacity, it can recharge the phase change heat storage system to prepare for the next heating peak period.

[0007] A heating and power generation decoupling system for improving the peak-shaving capability of a heating unit comprises an intelligent control unit, an intelligent sensor network, a data processing unit, a communication module, a user interface and a fault diagnosis device.

[0008] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak-shaving capacity of the heating unit, the intelligent control unit can monitor in real time the various operating parameters of the traditional cogeneration system, the phase change heat storage system and the electric heat pump, including temperature, pressure, flow, etc., and can implement intelligent regulation based on the monitoring data to optimize the operation of the heating and power generation decoupling system to adapt to different load conditions. The intelligent control unit also has an adaptive learning function, which can optimize the control algorithm according to historical operating data, so as to improve the efficiency of the heating and power generation decoupling system.

[0009] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak load regulation capacity of the heating unit, the intelligent sensor network can collect outdoor and indoor temperature, humidity and other environmental parameters in real time by deploying instruments such as environmental perception sensors. To ensure the precise regulation of the heating and power generation decoupling system, the following measures need to be taken: Sensor calibration: Precisely calibrate environmental perception sensors before deployment to ensure that sensor outputs accurately match actual environmental parameters; Data synchronization mechanism: Implement the clock synchronization mechanism of the sensor network to ensure the synchronization of data collection and set the appropriate data transmission frequency to improve the real-time performance of the data; Fault detection and repair: Introducing a fault detection mechanism, once a sensor anomaly or fault is detected, the system can automatically implement repair measures or issue an alarm to ensure the normal operation of the sensor equipment; Data quality monitoring: Establish a data quality monitoring system to monitor the data collected by sensors in real time, promptly detect abnormal data or sensor failures, and take corresponding measures to maintain data quality and accuracy.

[0010] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak load regulation capacity of the heating unit, the data processing unit can perform real-time analysis on the data collected by the sensor by using advanced data analysis algorithms. In order to improve the efficiency of the heating and power generation decoupling system, the data processing unit adopts the following measures to improve transparency: Algorithm type: The data analysis algorithm used is based on deep learning neural networks, such as convolutional neural networks or long short-term memory networks. This algorithm is widely used in the field of energy management. Deep learning performs well in processing complex time series data and environmental parameters. Algorithm principle: This deep learning algorithm is based on the hierarchical learning structure of neural networks, has adaptive characteristics, and can learn and adjust from historical data; Parameter adjustment: In order to increase the transparency of the decoupled heating and power generation system, the deep learning algorithm parameters of the data processing unit are set to specific learning rate, activation function and hierarchy parameters. These parameters are the core control factors of the deep learning algorithm and can be adjusted by users or operators according to actual needs.

[0011] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak-shaving capacity of the heating unit, the communication module realizes efficient two-way communication with the power grid by integrating advanced communication protocols. To ensure the communication security of the heating and power generation decoupling system, the communication module adopts the following implementation and means: Communication protocol: The communication module uses industry-standard secure communication protocols, such as TLS / SSL, to ensure the confidentiality and integrity of data during transmission; Encryption algorithm: All data transmitted through the communication module is protected by a powerful encryption algorithm, such as AES advanced encryption standard, to prevent unauthorized access and data tampering; Authentication: When users and other systems establish connections with the communication module, strict authentication measures are adopted, including the use of tokens, certificates, etc., to ensure that only legitimate users and the heat and power decoupling system can access and interact; Firewall and intrusion detection system: The communication module is equipped with a firewall and intrusion detection system to detect and prevent potential network attacks in a timely manner, ensuring the stability and data security of the heating and power generation decoupling system.

[0012] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak-shaving capacity of the heating unit, the user interface provides an intuitive and friendly graphical user interface, which can display the overall operating status, energy consumption and efficiency parameters of the heating and power generation decoupling system. To ensure the safety of the user interface and user operation, the heating and power generation decoupling system adopts the following protection measures: User authentication: When users use the user interface for monitoring and operation, they need to go through a strict authentication process, including a combination of username and password, two-factor authentication, etc., to ensure that only authorized users can access the system; Data privacy protection: The user interface uses powerful encryption technologies such as SSL / TLS to protect the security of data during transmission, preventing sensitive information from being stolen or tampered with during transmission; Permission control: The heat and power generation decoupling system implements fine-grained permission control to ensure that each user can only access information and operations within their authorized scope to minimize potential risks; Security log and monitoring: The user interface records security logs of user operations and monitors the security status of the system in real time to detect and respond to potential threats in a timely manner.

[0013] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak-shaving capacity of the heating unit, the fault diagnosis device is equipped with advanced fault detection sensors that can monitor the operating status of each component of the system in real time. The fault diagnosis device can be combined with real-time monitoring data and can timely judge and locate system faults through fault diagnosis algorithms.

[0014] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak-shaving capacity of the heating unit, the fault diagnosis device can also implement automated fault troubleshooting or take preset protection measures to ensure the overall safe and reliable operation of the heating and power generation decoupling system.

[0015] Preferably, in the above-mentioned heating and power generation decoupling system for improving the peak load regulation capacity of the heating unit, in step S2, (1) baseline energy consumption: determining the baseline value of the annual average daily heating supply of the traditional heating system, taking into account factors such as historical energy consumption data, meteorological data and building characteristics; (2) System efficiency: Ensure that the efficiency of the phase change thermal storage system is sufficient to meet the desired heat storage and release requirements, taking into account the performance parameters of the phase change thermal storage material, etc. (3) Actual working conditions: Consider the uncertainties in actual working conditions, such as temperature changes and load fluctuations, to ensure that the system can operate effectively under various conditions; (4) Safety reserve: Consider appropriate additional reserve capacity to handle system performance fluctuations, emergencies, or future load growth.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention significantly improves the peak-shaving capacity of the heating unit through the synergistic effect of phase change heat storage technology and high-efficiency electric heating equipment; achieves a balance between the economy and efficiency of the system and reduces operating costs by rationally configuring system components; is equipped with an intelligent control unit, can monitor operating parameters in real time and implement intelligent regulation based on monitoring data, and has an adaptive learning function to optimize the control algorithm from historical operating data and improve the efficiency of the system; configures an intelligent sensor network, communication module and user interface, can also ensure communication security and intuitive user-friendliness, thereby improving the overall security of the system and user experience.

[0017] 2. In summary, the present invention realizes the decoupling of heating and power generation through the combination of new heat storage technology and high-efficiency electric heating equipment, improves the peak-shaving capability of the system, and increases the transparency, operability and safety of the system through the synergy of modules such as intelligent control, sensor network, data processing, and communication modules. It effectively solves the problem of insufficient peak-shaving capability of traditional cogeneration systems, has high practicality and promotion value, and can provide innovative solutions for improving overall peak-shaving performance and economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is a flow chart of the steps of the heat supply and power generation decoupling method of the present invention; Figure 2 It is a structural schematic diagram of the heat supply and power generation decoupling system of the present invention; Figure 3 It is a schematic diagram of the structure of the intelligent sensor network of the present invention; Figure 4 It is a structural schematic diagram of a data processing unit of the present invention; Figure 5 It is a schematic diagram of the structure of the communication module of the present invention; Figure 6 It is a schematic diagram of the user interface structure of the present invention.

[0020] In the accompanying drawings, the components represented by the reference numerals are listed as follows: 100. Intelligent control unit; 200. Intelligent sensor network; 300. Data processing unit; 400. Communication module; 500. User interface; 600. Fault diagnosis device. DETAILED DESCRIPTION

[0021] 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.

[0022] See also Figure 1 A method for decoupling heating and power generation to improve the peak load regulation capability of a heating unit comprises the following steps: S1: On the basis of the traditional cogeneration system, a new heat storage system and high-efficiency electric heating equipment are configured. The new heat storage system uses phase change heat storage technology with a phase change temperature range of 40-60°C. The high-efficiency electric heating equipment uses an electric heat pump with a COP greater than 3.5 and a rated water supply temperature of not less than 90°C. The phase change heat storage system is connected to the water supply circuit of the traditional cogeneration system and is set in parallel with the electric heat pump. S2: When the heating demand is small and the power generation load is large, the traditional heating system is turned off and the heat provided by the cogeneration system is transferred to the phase change heat storage system through the plate heat exchanger. The capacity design of the phase change heat storage system needs to be calculated in detail, and the following factors need to be considered: Baseline energy consumption: Determine the baseline value of the average daily heating supply of the traditional heating system throughout the year, taking into account factors such as historical energy consumption data, meteorological data and building characteristics; System efficiency: Ensure that the efficiency of the phase change thermal storage system is sufficient to meet the expected heat storage and release requirements, taking into account the performance parameters of the phase change thermal storage material, etc. Actual working conditions: Consider the uncertainties in actual working conditions, such as temperature changes, load fluctuations, etc., to ensure that the system can operate effectively under various conditions; Safety reserve: Consider appropriate additional reserve capacity to handle system performance fluctuations, emergencies or future load growth; S3: When the heating peak comes and the heating capacity of the traditional cogeneration system cannot meet the demand, the stored heat is added to the water supply circuit. At the same time, the electric heat pump is started to heat the water supply to meet the heating load demand together with the heat storage system. The control logic gives priority to the use of stored heat, and starts supplementary electric heating when it is insufficient. S4: After the heating peak period ends, if the traditional cogeneration system still has surplus heat generation capacity, it can recharge the phase change heat storage system to prepare for the next heating peak period.

[0023] A heating and power generation decoupling system for improving the peak-shaving capability of a heating unit includes an intelligent control unit 100, an intelligent sensor network 200, a data processing unit 300, a communication module 400, a user interface 500 and a fault diagnosis device 600.

[0024] The intelligent control unit 100 can monitor the various operating parameters of the traditional cogeneration system, phase change heat storage system and electric heat pump in real time, including temperature, pressure, flow, etc., and can implement intelligent regulation based on the monitoring data to optimize the operation of the heating and power generation decoupling system to adapt to different load conditions. The intelligent control unit 100 also has an adaptive learning function, which can optimize the control algorithm according to historical operating data, so as to improve the efficiency of the heating and power generation decoupling system.

[0025] The smart sensor network 200 can collect real-time environmental parameters such as outdoor and indoor temperature and humidity by deploying instruments such as environmental perception sensors. To ensure accurate regulation of the heating and power generation decoupling system, the following measures need to be taken: Sensor calibration: Precisely calibrate environmental perception sensors before deployment to ensure that sensor outputs accurately match actual environmental parameters; Data synchronization mechanism: Implement the clock synchronization mechanism of the sensor network to ensure the synchronization of data collection and set the appropriate data transmission frequency to improve the real-time performance of the data; Fault detection and repair: Introducing a fault detection mechanism, once a sensor anomaly or fault is detected, the system can automatically implement repair measures or issue an alarm to ensure the normal operation of the sensor equipment; Data quality monitoring: Establish a data quality monitoring system to monitor the data collected by sensors in real time, promptly detect abnormal data or sensor failures, and take corresponding measures to maintain data quality and accuracy.

[0026] The data processing unit 300 can perform real-time analysis on the data collected by the sensors by using advanced data analysis algorithms. To improve the efficiency of the heating and power generation decoupling system, the data processing unit 300 adopts the following measures to improve transparency: Algorithm type: The data analysis algorithm used is based on deep learning neural networks, such as convolutional neural networks or long short-term memory networks. This algorithm is widely used in the field of energy management. Deep learning performs well in processing complex time series data and environmental parameters. Algorithm principle: This deep learning algorithm is based on the hierarchical learning structure of neural networks, has adaptive characteristics, and can learn and adjust from historical data; Parameter adjustment: In order to increase the transparency of the decoupling system of heat and power generation, the deep learning algorithm parameters of the data processing unit 300 are set to specific learning rate, activation function and hierarchy parameters. These parameters are the core control factors of the deep learning algorithm, and users or operators can adjust them according to actual needs.

[0027] The communication module 400 realizes efficient two-way communication with the power grid by integrating advanced communication protocols. To ensure the communication security of the heating and power generation decoupling system, the communication module 400 adopts the following implementation and means: Communication protocol: The communication module uses industry-standard secure communication protocols, such as TLS / SSL, to ensure the confidentiality and integrity of data during transmission; Encryption algorithm: All data transmitted through the communication module is protected by a powerful encryption algorithm, such as AES advanced encryption standard, to prevent unauthorized access and data tampering; Authentication: When users and other systems establish connections with the communication module, strict authentication measures are adopted, including the use of tokens, certificates, etc., to ensure that only legitimate users and the heat and power decoupling system can access and interact; Firewall and intrusion detection system: The communication module is equipped with a firewall and intrusion detection system to detect and prevent potential network attacks in a timely manner, ensuring the stability and data security of the heating and power generation decoupling system.

[0028] The user interface 500 provides an intuitive and friendly graphical user interface, which can display the overall operating status, energy consumption and efficiency parameters of the heating and power generation decoupling system. To ensure the safety of the user interface and user operation, the heating and power generation decoupling system adopts the following protection measures: User authentication: When using the user interface 500 for monitoring and operation, users need to go through a strict authentication process, including a combination of username and password, two-factor authentication, etc., to ensure that only authorized users can access the system; Data privacy protection: User Interface 500 protects the security of data during transmission by using powerful encryption technology such as SSL / TLS to prevent sensitive information from being stolen or tampered with during transmission; Permission control: The heat and power generation decoupling system implements fine-grained permission control to ensure that each user can only access information and operations within their authorized scope to minimize potential risks; Security log and monitoring: The user interface 500 records the security log of user operations and monitors the security status of the system in real time to detect and respond to potential threats in a timely manner.

[0029] The fault diagnosis device 600 is equipped with advanced fault detection sensors, which can monitor the operating status of each component of the system in real time. The fault diagnosis device 600 can be combined with real-time monitoring data, and can timely judge and locate system faults through fault diagnosis algorithms. The fault diagnosis device 600 can also implement automated troubleshooting or take preset protection measures to ensure the overall safe and reliable operation of the heat and power generation decoupling system.

[0030] Working principle: The present invention proposes a method and system for decoupling heating and power generation to improve the peak-shaving capacity of heating units. First, on the basis of the traditional cogeneration system, the decoupling of heating and power generation is achieved by configuring a new heat storage system and a high-efficiency electric heating device. The new heat storage system adopts phase change heat storage technology with a phase change temperature range of 40-60°C. It is connected to the water supply circuit of the traditional system and is set in parallel with the electric heat pump. The high-efficiency electric heating device uses an electric heat pump with a COP greater than 3.5, and the rated water supply temperature is not less than 90°C; The present invention proposes a method and system for decoupling heating and power generation to improve the peak-shaving capacity of the heating unit. When the heating demand is small and the power generation load is large, the traditional heating system is shut down, and the heat provided by the cogeneration system is transferred to the phase change heat storage system through a plate heat exchanger. The capacity design needs to consider the baseline energy consumption, system efficiency, actual working conditions and safety reserves. When the heating peak period arrives and the demand cannot be met, the electric heat pump is started to heat the water supply to meet the heating load demand. The control logic gives priority to the use of stored heat, and starts supplementary electric heating when it is insufficient. After the heating peak period ends, if there is surplus heat generation capacity, the phase change heat storage system can be charged with heat again to prepare for the next heating peak period; The present invention proposes a method and system for decoupling heating and power generation to improve the peak-shaving capacity of heating units. Through the coordinated use of electric heating equipment and heat storage systems, the system achieves effective decoupling of traditional cogeneration systems and heating load requirements. In addition, the system can enhance the peak-shaving performance through the combination of phase change heat storage and high-efficiency electric heating, while ensuring high economic efficiency under the premise of peak-shaving accuracy.

[0031] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0032] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for decoupling heating and power generation to improve the peak load regulation capability of a heating unit, characterized by: The following steps are involved: S1: On the basis of the traditional cogeneration system, a new heat storage system and high-efficiency electric heating equipment are configured. The new heat storage system uses phase change heat storage technology with a phase change temperature range of 40-60°C. The high-efficiency electric heating equipment uses an electric heat pump with a COP greater than 3.5 and a rated water supply temperature of not less than 90°C. The phase change heat storage system is connected to the water supply circuit of the traditional cogeneration system and is set in parallel with the electric heat pump. S2: When the heating demand is small and the power generation load is large, the traditional heating system is turned off and the heat provided by the cogeneration system is transferred to the phase change heat storage system through the plate heat exchanger. The capacity design of the phase change heat storage system requires detailed calculation and needs to consider: (1) baseline energy consumption, (2) system efficiency, (3) actual working conditions, and (4) safety reserve factors; S3: When the heating peak comes and the heating capacity of the traditional cogeneration system cannot meet the demand, the stored heat is added to the water supply circuit. At the same time, the electric heat pump is started to heat the water supply to meet the heating load demand together with the heat storage system. The control logic gives priority to the use of stored heat, and starts supplementary electric heating when it is insufficient. S4: After the heating peak period ends, if the traditional cogeneration system still has surplus heat generation capacity, it can recharge the phase change heat storage system to prepare for the next heating peak period.

2. According to claim 1, a heating and power generation decoupling system for improving the peak load regulation capability of a heating unit is characterized by: It comprises an intelligent control unit (100), an intelligent sensor network (200), a data processing unit (300), a communication module (400), a user interface (500) and a fault diagnosis device (600).

3. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 2, characterized in that: The intelligent control unit (100) can monitor various operating parameters of the traditional cogeneration system, the phase change heat storage system and the electric heat pump in real time, including temperature, pressure, flow rate, etc., and can implement intelligent control based on the monitoring data to optimize the operation of the heating and power generation decoupling system to adapt to different load conditions. The intelligent control unit (100) also has an adaptive learning function and can optimize the control algorithm according to historical operating data, thereby improving the efficiency of the heating and power generation decoupling system.

4. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 3, characterized in that: The smart sensor network (200) can collect outdoor and indoor environmental parameters such as temperature and humidity in real time by deploying instruments such as environmental sensing sensors. To ensure accurate control of the heating and power generation decoupling system, the following measures need to be taken: Sensor calibration: Precisely calibrate environmental perception sensors before deployment to ensure that sensor outputs accurately match actual environmental parameters; Data synchronization mechanism: Implement the clock synchronization mechanism of the sensor network to ensure the synchronization of data collection and set the appropriate data transmission frequency to improve the real-time performance of the data; Fault detection and repair: Introducing a fault detection mechanism, once a sensor anomaly or fault is detected, the system can automatically implement repair measures or issue an alarm to ensure the normal operation of the sensor equipment; Data quality monitoring: Establish a data quality monitoring system to monitor the data collected by sensors in real time, promptly detect abnormal data or sensor failures, and take corresponding measures to maintain data quality and accuracy.

5. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 4, characterized in that: The data processing unit (300) can perform real-time analysis on the data collected by the sensor by using advanced data analysis algorithms. In order to improve the efficiency of the heating and power generation decoupling system, the data processing unit (300) adopts the following measures to improve transparency: Algorithm type: The data analysis algorithm used is based on deep learning neural networks (e.g., convolutional neural networks or long short-term memory networks), which are widely used in the field of energy management. Deep learning performs well in processing complex time series data and environmental parameters; Algorithm principle: This deep learning algorithm is based on the hierarchical learning structure of neural networks, has adaptive characteristics, and can learn and adjust from historical data; Parameter adjustment: In order to increase the transparency of the heat and power generation decoupling system, the deep learning algorithm parameters of the data processing unit (300) are set to specific learning rate, activation function and hierarchy parameters. These parameters are the core control factors of the deep learning algorithm and can be adjusted by the user or operator according to actual needs.

6. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 5, characterized in that: The communication module (400) realizes efficient two-way communication with the power grid by integrating advanced communication protocols. To ensure the communication security of the heating and power generation decoupling system, the communication module (400) adopts the following implementation and means: Communication protocol: The communication module uses industry-standard secure communication protocols, such as TLS / SSL, to ensure the confidentiality and integrity of data during transmission; Encryption algorithm: All data transmitted through the communication module is protected by a strong encryption algorithm, such as AES (Advanced Encryption Standard), to prevent unauthorized access and data tampering; Authentication: When users and other systems establish connections with the communication module, strict authentication measures are adopted, including the use of tokens, certificates, etc., to ensure that only legitimate users and the heat and power decoupling system can access and interact; Firewall and intrusion detection system: The communication module is equipped with a firewall and intrusion detection system to detect and prevent potential network attacks in a timely manner, ensuring the stability and data security of the heating and power generation decoupling system.

7. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 6, characterized in that: The user interface (500) provides an intuitive and friendly graphical user interface, which can display the overall operating status, energy consumption and efficiency parameters of the heating and power generation decoupling system. To ensure the safety of the user interface and user operations, the heating and power generation decoupling system adopts the following protection measures: User authentication: When using the user interface (500) for monitoring and operation, users need to go through a strict authentication process, including a combination of username and password, two-factor authentication, etc., to ensure that only authorized users can access the system; Data privacy protection: The user interface (500) protects the security of data during transmission by using strong encryption technology (such as SSL / TLS) to prevent sensitive information from being stolen or tampered with during transmission; Permission control: The heat and power generation decoupling system implements fine-grained permission control to ensure that each user can only access information and operations within their authorized scope to minimize potential risks; Security log and monitoring: The user interface (500) records the security log of user operations and monitors the security status of the system in real time to detect and respond to potential threats in a timely manner.

8. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 7, characterized in that: The fault diagnosis device (600) is equipped with advanced fault detection sensors, which can monitor the operating status of each component of the system in real time. The fault diagnosis device (600) can be combined with real-time monitoring data to timely determine and locate system faults through a fault diagnosis algorithm.

9. A heating and power generation decoupling system for improving the peak load regulation capability of a heating unit according to claim 8, characterized in that: The fault diagnosis device (600) can also implement automated fault elimination or take preset protection measures to ensure the overall safe and reliable operation of the heat supply and power generation decoupling system.

10. A method for decoupling heating and power generation to improve the peak load regulation capability of a heating unit according to claim 1, characterized in that: In step S2, (1) Baseline energy consumption: Determine the baseline value of the average daily heating supply of the traditional heating system throughout the year, taking into account factors such as historical energy consumption data, meteorological data, and building characteristics; (2) System efficiency: Ensure that the efficiency of the phase change thermal storage system is sufficient to meet the desired heat storage and release requirements, taking into account the performance parameters of the phase change thermal storage material, etc. (3) Actual working conditions: Consider the uncertainties in actual working conditions, such as temperature changes and load fluctuations, to ensure that the system can operate effectively under various conditions; (4) Safety reserve: Consider appropriate additional reserve capacity to handle system performance fluctuations, emergencies, or future load growth.

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