Fused salt heat storage coupling thermal power generating unit plant area thermal power cooperation operation optimization system

Abstract

The invention discloses a fused salt heat storage coupling thermal power generating unit plant area thermal power cooperation operation optimization system, and the system comprises a data collection and preprocessing module which is used for collecting system operation data, and carrying out the preprocessing of the collected data; the performance evaluation index calculation module is used for defining an index for evaluating the performance and calculating the value of the performance evaluation index; the operation optimization strategy making module is used for analyzing the calculation result, evaluating the overall performance and the operation effect of the system and making an operation optimization strategy according to the evaluation result; the adjustment feedback module is used for performing adjustment according to the operation optimization strategy and feeding back the effect of the operation optimization strategy; and the monitoring alarm module is used for monitoring parameters of the system in real time, carrying out anomaly detection on monitoring data and sending alarm information. The performance and the operation effect of the system can be comprehensively and objectively evaluated, the system efficiency is improved, the operation cost is reduced, and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal system coordination and optimization, and in particular to an operation optimization system for thermal coordination of a molten salt heat storage coupled thermal power unit plant. Background Art

[0002] As one of the main sources of electricity in the world, efficient and clean operation of thermal power generation has become the key to the development of the industry. In order to improve energy efficiency and reduce environmental pollution, thermal power plants have been exploring the application of new technologies. Among them, molten salt thermal storage coupled thermal power unit technology has attracted much attention due to its advantages such as efficient energy storage, flexible peak load regulation and reduced carbon emissions.

[0003] Molten salt heat storage technology uses the excellent thermal properties of high-temperature molten salt to achieve efficient storage and release of energy. When thermal power units generate excess electricity, the excess heat can be converted into molten salt heat energy and stored; when electricity demand increases or the unit needs to be peaked, the stored molten salt heat energy can be quickly released to drive the steam turbine to generate electricity, thereby achieving flexible scheduling of the power grid. This technology can not only improve energy utilization efficiency, but also effectively alleviate the contradiction between electricity supply and demand and reduce carbon emissions, which is in line with the trend of global energy transformation and green development.

[0004] However, the operation optimization of molten salt heat storage coupled thermal power units in the thermal system of the plant is a complex issue. Since the thermal system involves multiple links and multiple equipment, its operating status and operating efficiency are affected by many factors. How to scientifically and comprehensively evaluate the performance and operating effect of the system and make adjustments has become an urgent problem to be solved.

[0005] In order to meet this challenge, it is particularly important to develop an operation optimization system for thermal synergy of molten salt heat storage coupled with thermal power units in the plant area. Summary of the invention

[0006] The purpose of the present invention is to solve the problem in the prior art that it is difficult to comprehensively evaluate system performance and effects and to adjust system operation strategies, and to propose an operation optimization system for thermal synergy of a molten salt heat storage coupled thermal power unit plant.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system, comprising: Data collection and preprocessing module: used to collect the operating data of the plant thermal system and the molten salt heat storage coupled thermal power unit, and preprocess the collected data; Performance evaluation index calculation module: used to define the index for evaluating performance and calculate the value of the performance evaluation index through the collected data; Operation optimization strategy formulation module: used to analyze the calculation results, evaluate the overall performance and operation effect of the system, and formulate operation optimization strategies based on the evaluation results; Adjustment feedback module: used to make adjustments according to the operation optimization strategy, collect the operation data after adjustment, compare it with the data before adjustment, and provide feedback on the effect of the operation optimization strategy. Monitoring and alarm module: used to monitor system parameters in real time and perform anomaly detection on monitoring data. When an abnormal situation is detected, the alarm mechanism is triggered and an alarm message is sent.

[0008] Compared with the prior art, the present invention has the following beneficial effects: The present invention sets up a performance evaluation index calculation module, which can ensure the accuracy and reliability of the evaluation results by accurately calculating various performance indicators and quantifying the performance of the system under various operating conditions, intuitively understand the overall performance of the system, bottlenecks and potential performance improvement space, and comprehensively and objectively evaluate the performance and operating effect of the system.

[0009] The present invention sets up an operation optimization strategy formulation module, which can formulate a scientific and reasonable operation optimization strategy by deeply analyzing the performance evaluation results and combining them with actual needs, effectively improving system efficiency, reducing operating costs, and improving user satisfaction.

[0010] The present invention is provided with an adjustment feedback module, which can timely discover problems in system operation and make precise adjustments through real-time monitoring and comparative analysis of data before and after adjustment, which not only ensures the stable operation of the system, but also improves the system's troubleshooting and repair efficiency, and forms a closed-loop optimization process, thereby continuously promoting the improvement and optimization of system performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 A system module architecture diagram provided for an embodiment of the present invention; Figure 2 A schematic diagram of a system structure provided by an embodiment of the present invention; Figure 3 A schematic diagram of the performance evaluation index calculation module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0013] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation method, structure, characteristics and effects of the operation optimization system of the molten salt heat storage coupled thermal power plant area thermal synergy proposed by the present invention are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0014] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0015] The following examples are for illustrative purposes only and are not intended to limit the scope of the present invention.

[0016] The specific scheme of the operation optimization system for thermal synergy of a plant area of ​​molten salt heat storage coupled with a thermal power unit provided by the present invention is described in detail below with reference to the accompanying drawings.

[0017] Example In an embodiment of the present invention, a molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system is provided, comprising: Data collection and preprocessing module: used to collect the operating data of the plant thermal system and the molten salt heat storage coupled thermal power unit, and preprocess the collected data; Performance evaluation index calculation module: used to define the index for evaluating performance and calculate the value of the performance evaluation index through the collected data; Operation optimization strategy formulation module: used to analyze the calculation results, evaluate the overall performance and operation effect of the system, and formulate operation optimization strategies based on the evaluation results; Adjustment feedback module: used to make adjustments according to the operation optimization strategy, collect the operation data after adjustment, compare it with the data before adjustment, and provide feedback on the effect of the operation optimization strategy. Monitoring and alarm module: used to monitor system parameters in real time and perform anomaly detection on monitoring data. When an abnormal situation is detected, the alarm mechanism is triggered and an alarm message is sent.

[0018] Please refer to Figure 1-2 It is a system module architecture diagram and a system composition schematic diagram provided by an embodiment of the present invention.

[0019] 1. Data Collection and Preprocessing Module The data collection and preprocessing module includes a sensor unit, a data preprocessing unit and a data storage unit; The sensor unit is used to install sensors in the thermal system of the plant area and the molten salt heat storage coupled thermal power unit to collect operation data in real time. The sensors include temperature sensors, pressure sensors, flow sensors, speed sensors, fuel consumption sensors, liquid level sensors, heat loss sensors, voltage sensors, and current sensors; the operation data include load, power generation, fuel consumption, steam temperature, steam pressure, exhaust temperature, molten salt temperature, heat storage, molten salt flow, heat loss, charge and discharge status, battery temperature, voltage, and current; A data preprocessing unit, used to clean, calibrate and format the data collected by the sensor, wherein the cleaning includes removing abnormal data using statistical methods and removing duplicate data using timestamp comparison methods; the calibration includes correcting the collected data according to the sensor's calibration curve to eliminate sensor errors; the formatting includes packaging the cleaned and calibrated data into a unified format using data packaging; The data storage unit is used to establish a database to store the preprocessed data and perform data backup. The database is a time series database that can process sensor data in real time and efficiently store and query a large amount of timestamp data. The data backup is stored in cloud storage, which can realize remote backup and off-site storage of data.

[0020] It should be noted that in the sensor unit, the temperature sensor can detect temperature anomalies in time by monitoring the temperature, avoiding equipment damage or performance degradation caused by overheating or overcooling. The pressure sensor can ensure that the system pressure operates within a safe range to prevent equipment failure or safety accidents caused by excessively high or low pressure. The flow sensor can accurately measure the flow of fluid in the system to provide data support for optimizing fluid circulation and improving thermal efficiency. The speed sensor can ensure that the rotating equipment operates at the rated speed to avoid equipment damage or performance degradation caused by excessively high or low speed. The fuel consumption sensor can monitor the fuel consumption in real time to provide data support for optimizing fuel ratios and reducing energy consumption. The liquid level sensor can ensure that the liquid level of the heat storage tank and water tank equipment is within a safe range to avoid equipment failure or safety hazards caused by excessively high or low liquid levels. The heat loss sensor can evaluate the thermal efficiency of the system and provide data support for optimizing the thermal cycle and reducing heat loss. The voltage and current sensors can ensure the stable operation of the power system to avoid equipment damage or safety accidents caused by voltage fluctuations or excessive current.

[0021] Furthermore, in the data collection and preprocessing module, the use of statistical methods to remove abnormal data includes: The statistical method is the triple standard deviation criterion. Most data values ​​will be within the range of the mean (μ) plus or minus three times the standard deviation (3σ). If the data value exceeds the range, it is abnormal data. The following formula is used to detect abnormal data:

[0022] Where n is the number of data, (i=1, 2, ..., n) are the values ​​of the data and n-1 is the degrees of freedom.

[0023] 2. Performance Evaluation Index Calculation Module Please refer to Figure 3 It is a schematic diagram of the composition of a performance evaluation index calculation module provided in an embodiment of the present invention.

[0024] The performance evaluation index calculation module includes an index definition unit, a peak-shaving capacity calculation unit, a peak-shaving depth calculation unit, a frequency regulation capacity calculation unit, a frequency regulation depth calculation unit, a thermal efficiency calculation unit and an exergy efficiency calculation unit; An indicator definition unit is used to define indicators for evaluating the coordinated operation performance of the molten salt heat storage coupled thermal power unit and the thermal system of the plant area, wherein the performance evaluation indicators include peak regulation capacity, peak regulation depth, frequency regulation capacity, frequency regulation depth, thermal efficiency, and exergy efficiency; The peak-shaving capacity calculation unit is used to calculate the peak-shaving capacity, which reflects the system's ability to cope with peak or valley loads on the power grid. It is the output range that can be increased or decreased in a short period of time. The peak-shaving capacity of the system is calculated using the following formula:

[0025] in, is the peak load capacity in the heat storage stage, When the thermal storage power is The power generation capacity is 50% of the rated load. The peak load capacity in the heat release stage. To generate heat and generate electricity, is 100% rated load power generation, Provide peak-shaving capacity for the entire process of heat storage and release; The peak shaving depth calculation unit is used to calculate the peak shaving depth, which reflects the difficulty of peak shaving. It is the ratio of the output change amplitude during peak shaving to the rated output. The peak shaving depth is calculated by the following formula:

[0026] in, is the peak load depth in the heat storage stage, is the peak regulation depth in the heat release stage, Peak depth regulation for the whole process of heat storage and release; The frequency regulation capacity calculation unit is used to calculate the frequency regulation capacity of the system, which reflects the ability to maintain the stability of the grid frequency and is the regulation capability provided when the grid frequency fluctuates. The frequency regulation capacity is calculated by the following formula:

[0027] in, is the frequency modulation capacity, is the difference between the actual frequency of the power grid and the reference frequency, MCR is the maximum power that the generator set can sustainably output over a long period of time, is the reference grid frequency, H is the unit heat loss rate; The frequency modulation depth calculation unit is used to calculate the frequency modulation depth, which reflects the sensitivity and response speed of the frequency modulation. It is the ratio of the amplitude of the output change during frequency modulation to the rated output. The frequency modulation depth is calculated by the following formula:

[0028] in, is the FM depth, is the maximum frequency deviation in the FM signal, is the frequency of the original unmodulated signal; The thermal efficiency calculation unit is used to calculate the thermal efficiency of the system, which reflects the efficiency of energy conversion and is the ratio of the output useful energy to the input total energy. The thermal efficiency is calculated by the following formula:

[0029]

[0030] in, is the thermal efficiency of the heat storage process coupled system, is the thermal efficiency of the coupled system during the heat release process, for The heat storage process outputs electrical power at every moment. for The heat release process outputs electrical power at all times. , are the start and end time of the energy storage process, , are the start and end time of the energy release process, for The heat storage load at any time, for Release heat load at all times, for The thermal load output by the boiler of the thermal power unit during the heat storage process at the moment, for The thermal load output by the boiler of the thermal power unit during the heat release process at each moment. for Boiler efficiency at all times; The exergy efficiency calculation unit is used to calculate the exergy efficiency of the system, which reflects the quality of energy conversion and is the ratio of the output exergy to the total input exergy. The exergy efficiency is calculated by the following formula:

[0031] in To enhance the exergy value of the heat load output during the heating stage, In order to enhance the exergy value carried by the output electrical load during the heating stage, is the exergy value of the electrical load consumed by the pump accessories, To enhance the exergy value of the high-pressure air flow during the heating stage, The calorific value required for boiler fuel.

[0032] It should be noted that the indicator definition unit is the basis of the performance evaluation indicator calculation module. It defines a series of indicators for evaluating system performance, including peak-shaving capacity, peak-shaving depth, frequency regulation capacity, frequency regulation depth, thermal efficiency and exergy efficiency, which can comprehensively reflect the system's performance in responding to changes in grid load, maintaining grid frequency stability and energy conversion efficiency.

[0033] The peak-shaving capacity calculation unit can fully understand the peak-shaving capacity of the system in different operating stages by calculating the peak-shaving capacity in the heat storage stage and the heat release stage, as well as the peak-shaving capacity in the entire heat storage and release process.

[0034] The peak-shaving depth calculation unit can evaluate the peak-shaving performance of the system in different operating stages by calculating the peak-shaving depth in the heat storage stage, the heat release stage and the entire heat storage and release process, and provide data support for optimizing the peak-shaving strategy.

[0035] The frequency regulation capacity calculation unit can evaluate the system's response speed and regulation capability when dealing with grid frequency fluctuations by calculating the frequency regulation capacity, and provide data support for optimizing the frequency regulation strategy.

[0036] The frequency modulation depth calculation unit can evaluate the performance of the system during the frequency modulation process by calculating the frequency modulation depth, and provide data support for optimizing the frequency modulation strategy.

[0037] The thermal efficiency calculation sheet can calculate the thermal efficiency of the heat storage process and the heat release process, which can fully understand the performance of the system in the energy conversion process and provide data support for the formulation of operation optimization strategies.

[0038] The exergy efficiency calculation unit can evaluate the quality performance of the system in the energy conversion process by calculating the output heat load, electrical load, exergy value carried by high-pressure air flow in the enhanced heating stage, and exergy value of the heat required by boiler fuel, and provide data support for the formulation of operation optimization strategies.

[0039] 3. Operation Optimization Strategy Formulation Module The operation optimization strategy formulation module includes a performance analysis unit and a strategy formulation unit; The performance analysis unit is used to analyze various performance evaluation indicators, determine the current status of system performance, and give improvement suggestions. The current status of system performance includes load fluctuation regulation capability, regulation capability during frequency fluctuation, efficiency of energy conversion, and loss during energy conversion. The improvement suggestions include upgrading the speed regulation system, increasing energy storage capacity, optimizing the layout of the thermal system, optimizing equipment operating parameters, and improving the reversibility of the energy conversion process. The strategy formulation unit is used to formulate a specific operation optimization strategy based on the analysis results. The operation optimization strategy includes optimizing the charging and discharging strategy of the molten salt heat storage system and adjusting the charging and discharging strategy of the electrochemical energy storage system.

[0040] It should be noted that the improvement suggestions of the performance analysis unit are aimed at improving the overall performance and efficiency of the system, including upgrading the speed control system to improve response speed and regulation accuracy, increasing energy storage capacity to balance load fluctuations, optimizing the thermal system layout to reduce energy losses, optimizing equipment operating parameters to improve operating efficiency, and improving the reversibility of the energy conversion process to enhance the flexibility and reliability of the system.

[0041] The strategy of the strategy formulation unit aims to transform the improvement suggestions given by the performance analysis unit into practical and operational solutions. For the molten salt heat storage system, a more reasonable charging and discharging heat strategy is formulated to fully utilize the high energy storage density and long-term energy storage characteristics of the molten salt to improve the thermal efficiency and stability of the system; for the electrochemical energy storage system, its charging and discharging strategy is adjusted to better match the load demand, reduce energy waste, and extend the service life of the battery.

[0042] 4. Adjust the feedback module The adjustment feedback module includes a strategy implementation unit, a data comparison unit and an effect feedback unit; A strategy implementation unit, used to adjust the system according to the optimization strategy, wherein the adjustment operation includes adjusting the cycle parameters of the thermal system, adjusting the load distribution of the thermal power unit, optimizing the output distribution of the thermal power unit, and improving the process layout of the thermal system; A data comparison unit, used to collect the adjusted system operation data and compare it with the data before the adjustment, wherein the system operation data includes peak regulation capacity, peak regulation depth, frequency regulation capacity, frequency regulation depth, thermal efficiency, and exergy efficiency; The effect feedback unit is used to generate an effect feedback report to show the implementation effect and existing problems of the optimization strategy, and to make further optimization suggestions based on the feedback results. The implementation effect includes whether energy efficiency is improved, whether emissions are reduced, and whether system stability is enhanced. The existing problems include environmental conditions, complex implementation process, and long implementation cycle.

[0043] It should be noted that the strategy implementation unit performs specific adjustment operations on the thermal system and thermal power units based on the pre-established optimization strategy. The operations include adjusting the circulation parameters (temperature, pressure) of the thermal system, adjusting the load distribution of the thermal power units to optimize the output, and improving the process layout of the thermal system to reduce energy losses.

[0044] The data comparison unit can intuitively evaluate the implementation effect of the optimization strategy by comparing the system operation data before and after adjustment, providing strong data support for the effect feedback unit, enabling it to more accurately analyze the effectiveness of the strategy.

[0045] The effect feedback unit generates a detailed effect feedback report based on the data provided by the data comparison unit and puts forward further optimization suggestions, ensuring that the optimization process can continue and continuously improve the operating efficiency of the thermal system and thermal power units.

[0046] 5. Monitoring Alarm Module The monitoring alarm module includes a parameter monitoring unit, an anomaly detection unit, and an alarm triggering and notification unit; Parameter monitoring unit, used for real-time monitoring of various parameters of molten salt heat storage coupled thermal power units and plant thermal systems, including temperature, pressure, heat storage and flow rate of the molten salt heat storage system, load, exhaust temperature, fuel consumption rate of the thermal power units, thermal efficiency and circulating water flow of the thermal system; An anomaly detection unit is used to perform anomaly detection on the collected parameter data and determine whether the data presents an abnormal trend by setting a threshold value. The abnormal trend includes a sudden change in the parameter value, a continuous deviation from the normal range, and a periodic fluctuation abnormality; The alarm triggering and notification unit is used to trigger the alarm mechanism and send alarm information to relevant personnel when an abnormal situation is detected. The alarm mechanism includes sound and light alarm, SMS notification, email reminder and internal message push.

[0047] It should be noted that the parameter monitoring unit monitors parameters through the sensors of the sensor unit. The monitored parameters include the temperature, pressure, heat storage capacity and flow rate of the molten salt heat storage system, which reflect the thermal state and flow performance of the molten salt heat storage system; the load, exhaust temperature and fuel consumption rate of the thermal power unit, which reflect the operating efficiency and energy consumption of the unit; the thermal efficiency and circulating water flow of the thermal system, which reveal the overall performance and circulation efficiency of the thermal system.

[0048] The anomaly detection unit identifies abnormal trends through thresholds. The thresholds are set based on historical operating data when the system is operating normally and are adjusted according to environmental conditions or current load.

[0049] The alarm mode of the alarm trigger and notification unit can be flexibly configured according to actual conditions and personnel needs to ensure that the alarm information can be quickly and accurately conveyed to relevant personnel. Through the alarm trigger and notification unit, relevant resources can be quickly mobilized and effective measures can be taken to deal with abnormal situations, thereby ensuring the safe and stable operation of the system.

[0050] The operation optimization system for thermal synergy of the molten salt heat storage coupled thermal power unit plant in this embodiment can comprehensively evaluate the system performance and effect, adjust the system operation strategy, and enhance the coordinated operation efficiency of the molten salt heat storage coupled thermal power unit in the plant thermal system.

[0051] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. The operation optimization system of molten salt heat storage coupled with thermal power unit plant area thermal synergy is characterized by: include: Data collection and preprocessing module: used to collect the operating data of the plant thermal system and the molten salt heat storage coupled thermal power unit, and preprocess the collected data; Performance evaluation index calculation module: used to define the index for evaluating performance and calculate the value of the performance evaluation index through the collected data; Operation optimization strategy formulation module: used to analyze the calculation results, evaluate the overall performance and operation effect of the system, and formulate operation optimization strategies based on the evaluation results; Adjustment feedback module: used to make adjustments according to the operation optimization strategy, collect the operation data after adjustment, compare it with the data before adjustment, and provide feedback on the effect of the operation optimization strategy; Monitoring and alarm module: used to monitor system parameters in real time and perform anomaly detection on monitoring data. When an abnormal situation is detected, the alarm mechanism is triggered and an alarm message is sent.

2. The molten salt heat storage coupled thermal power unit plant thermal synergy operation optimization system according to claim 1 is characterized in that: The data collection and preprocessing module includes: The sensor unit is used to install sensors in the thermal system of the plant area and the molten salt heat storage coupled thermal power unit to collect operation data in real time. The sensors include temperature sensors, pressure sensors, flow sensors, speed sensors, fuel consumption sensors, liquid level sensors, heat loss sensors, voltage sensors, and current sensors; the operation data include load, power generation, fuel consumption, steam temperature, steam pressure, exhaust temperature, molten salt temperature, heat storage, molten salt flow, heat loss, charge and discharge status, battery temperature, voltage, and current; A data preprocessing unit, used to clean, calibrate and format the data collected by the sensor, wherein the cleaning includes removing abnormal data using statistical methods and removing duplicate data using timestamp comparison methods; the calibration includes correcting the collected data according to the sensor's calibration curve to eliminate sensor errors; the formatting includes packaging the cleaned and calibrated data into a unified format using data packaging; The data storage unit is used to establish a database to store the preprocessed data and perform data backup. The database is a time series database that can process sensor data in real time and efficiently store and query a large amount of timestamp data. The data backup is stored in cloud storage, which can realize remote backup and off-site storage of data.

3. The molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system according to claim 2, characterized in that: The use of statistical methods to remove abnormal data includes: The statistical method is the triple standard deviation criterion. Most data values ​​will be within the range of the mean (μ) plus or minus three times the standard deviation (3σ). If the data value exceeds the range, it is abnormal data. The following formula is used to detect abnormal data: Where n is the number of data, (i=1, 2, ..., n) are the values ​​of the data and n-1 is the degrees of freedom.

4. The molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system according to claim 1, characterized in that: The performance evaluation index calculation module includes: An indicator definition unit is used to define indicators for evaluating the coordinated operation performance of the molten salt heat storage coupled thermal power unit and the thermal system of the plant area, wherein the performance evaluation indicators include peak regulation capacity, peak regulation depth, frequency regulation capacity, frequency regulation depth, thermal efficiency, and exergy efficiency; The peak-shaving capacity calculation unit is used to calculate the peak-shaving capacity, which reflects the system's ability to cope with peak or valley loads on the power grid. It is the output range that can be increased or decreased in a short period of time. The peak-shaving capacity of the system is calculated using the following formula: in, is the peak load capacity in the heat storage stage, When the thermal storage power is The power generation capacity is 50% of the rated load. The peak load capacity in the heat release stage. To generate heat and generate electricity, is 100% rated load power generation, Provide peak-shaving capacity for the entire process of heat storage and release; The peak shaving depth calculation unit is used to calculate the peak shaving depth, which reflects the difficulty of peak shaving. It is the ratio of the output change amplitude during peak shaving to the rated output. The peak shaving depth is calculated by the following formula: in, is the peak load depth in the heat storage stage, is the peak regulation depth in the heat release stage, Peak depth regulation for the whole process of heat storage and release; The frequency regulation capacity calculation unit is used to calculate the frequency regulation capacity of the system, which reflects the ability to maintain the stability of the grid frequency and is the regulation capability provided when the grid frequency fluctuates. The frequency regulation capacity is calculated by the following formula: in, is the frequency modulation capacity, is the difference between the actual frequency of the power grid and the reference frequency, MCR is the maximum power that the generator set can sustainably output over a long period of time, is the reference grid frequency, H is the unit heat loss rate; The frequency modulation depth calculation unit is used to calculate the frequency modulation depth, which reflects the sensitivity and response speed of the frequency modulation. It is the ratio of the amplitude of the output change during frequency modulation to the rated output. The frequency modulation depth is calculated by the following formula: in, is the FM depth, is the maximum frequency deviation in the FM signal, is the frequency of the original unmodulated signal; The thermal efficiency calculation unit is used to calculate the thermal efficiency of the system, which reflects the efficiency of energy conversion and is the ratio of the output useful energy to the input total energy. The thermal efficiency is calculated by the following formula: in, is the thermal efficiency of the heat storage process coupled system, is the thermal efficiency of the heat release process coupled system, for The heat storage process outputs electrical power at every moment. for The heat release process outputs electrical power at all times. , are the start and end time of the energy storage process, , are the start and end times of the energy release process, for The heat storage load at any time, for Release heat load at all times, for The thermal load output by the boiler of the thermal power unit during the heat storage process at the moment, for The thermal load output by the boiler of the thermal power unit during the heat release process at each moment. for Boiler efficiency at all times; The exergy efficiency calculation unit is used to calculate the exergy efficiency of the system, which reflects the quality of energy conversion and is the ratio of the output exergy to the total input exergy. The exergy efficiency is calculated by the following formula: in To enhance the exergy value of the heat load output during the heating stage, In order to enhance the exergy value carried by the output electrical load during the heating stage, is the exergy value of the electrical load consumed by the pump accessories, To enhance the exergy value of the high-pressure air flow during the heating stage, The calorific exergy value required for boiler fuel.

5. The molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system according to claim 1, characterized in that: The operation optimization strategy formulation module includes: The performance analysis unit is used to analyze various performance evaluation indicators, determine the current status of system performance, and give improvement suggestions. The current status of system performance includes load fluctuation regulation capability, regulation capability during frequency fluctuation, efficiency of energy conversion, and loss during energy conversion. The improvement suggestions include upgrading the speed regulation system, increasing energy storage capacity, optimizing the layout of the thermal system, optimizing equipment operating parameters, and improving the reversibility of the energy conversion process. The strategy formulation unit is used to formulate a specific operation optimization strategy based on the analysis results. The operation optimization strategy includes optimizing the charging and discharging strategy of the molten salt heat storage system and adjusting the charging and discharging strategy of the electrochemical energy storage system.

6. The molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system according to claim 1, characterized in that: The adjustment feedback module comprises: A strategy implementation unit, used to adjust the system according to the optimization strategy, wherein the adjustment operation includes adjusting the cycle parameters of the thermal system, adjusting the load distribution of the thermal power unit, optimizing the output distribution of the thermal power unit, and improving the process layout of the thermal system; A data comparison unit, used to collect the adjusted system operation data and compare it with the data before the adjustment, wherein the system operation data includes peak regulation capacity, peak regulation depth, frequency regulation capacity, frequency regulation depth, thermal efficiency, and exergy efficiency; The effect feedback unit is used to generate an effect feedback report to show the implementation effect and existing problems of the optimization strategy, and to make further optimization suggestions based on the feedback results. The implementation effect includes whether energy efficiency is improved, whether emissions are reduced, and whether system stability is enhanced. The existing problems include environmental conditions, complex implementation process, and long implementation cycle.

7. The molten salt heat storage coupled thermal power unit plant area thermal synergy operation optimization system according to claim 1, characterized in that: The monitoring alarm module comprises: Parameter monitoring unit, used for real-time monitoring of various parameters of molten salt heat storage coupled thermal power units and plant thermal systems, including temperature, pressure, heat storage and flow rate of the molten salt heat storage system, load, exhaust temperature, fuel consumption rate of the thermal power units, thermal efficiency and circulating water flow of the thermal system; An anomaly detection unit is used to perform anomaly detection on the collected parameter data and determine whether the data presents an abnormal trend by setting a threshold value. The abnormal trend includes a sudden change in the parameter value, a continuous deviation from the normal range, and a periodic fluctuation abnormality; The alarm triggering and notification unit is used to trigger the alarm mechanism and send alarm information to relevant personnel when an abnormal situation is detected. The alarm mechanism includes sound and light alarm, SMS notification, email reminder and internal message push.

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