Intelligent monitoring system of multi-coupling energy storage system based on fuzzy control algorithm

Abstract

The present invention provides an intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm, which belongs to the technical field of energy storage systems, and specifically includes: a monitoring module responsible for monitoring and processing the operating status of an electrode molten salt energy storage system and a biomass gasifier; an energy storage mode adjustment module responsible for determining an energy storage adjustment mode based on the economic benefits of different adjustment schemes; a control module responsible for collaboratively controlling the thermal insulation treatment strategy of the electrode molten salt energy storage system, the energy storage adjustment treatment strategy of the electrode molten salt energy storage system, and the biomass gasifier based on the energy storage adjustment mode; collecting temperature change data in real time according to the upper and lower limits of the thermal insulation settings; utilizing a PID adjustment based on the fuzzy control algorithm to output the electric power required for thermal insulation; determining an adjustment treatment strategy for the thermal insulation treatment of the electrode molten salt energy storage system based on the change in electric power, thereby improving the operational reliability of the electrode molten salt energy storage system.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage systems, and in particular relates to an intelligent monitoring system for a multi-coupling energy storage system based on a fuzzy control algorithm. Background Art

[0002] Recent years have seen explosive growth in renewable energy sources, leading to an increasing demand for energy storage and peak-shaving, which plays a crucial role in production and daily life. Previously, heating system monitoring relied primarily on manual labor during heat production. With the pace of industrial modernization, the demand for greater automation is increasing, and intelligentization is becoming increasingly imperative. Furthermore, as a crucial component of energy conversion, heat storage systems face increasing demands for the use and utilization of diverse energy sources in the context of dual carbon emissions and energy conservation and emission reduction. Consequently, the monitoring of these systems is also becoming increasingly intelligent, and research into intelligent monitoring systems is currently a top priority.

[0003] In order to realize intelligent monitoring and processing of multi-element energy storage systems, existing technical solutions, such as CN202211275047.X "A hybrid energy storage system based on multi-element energy storage and combined control", use a twin energy storage model to perform real-time twin monitoring of energy storage devices. Through twin monitoring, intelligent power management and power distribution of microgrids can be realized, preventing energy storage devices from overheating and exceeding the storage power limit due to excessive input power, thereby improving the reliability of monitoring and processing of the energy storage system.

[0004] For a multi-element energy storage system consisting of a gasifier and an electrode molten salt energy storage system, there are differences between the price of biomass fuel and peak-valley electricity prices at different times, the heat supply to users at different times, the unit price of different forms of heat sold by users and the user's expected profit margin. This leads to urgent technical issues such as how to achieve coordinated scheduling of the energy storage methods of the gasifier and the electrode molten salt energy storage system, and how to determine the insulation treatment strategy of the electrode molten salt energy storage system according to the changes in electric power while ensuring the operational stability of the energy storage system, to ensure that the operating temperature of the electrode molten salt energy storage system operates within a reasonable range, while improving economic benefits.

[0005] In order to solve the above technical problems, the present application provides an intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm. Summary of the Invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] Specifically, the present application provides a multi-element coupled energy storage system intelligent monitoring system based on a fuzzy control algorithm, which specifically includes:

[0008] Monitoring module, control module, energy storage mode adjustment module, monitoring and adjustment module;

[0009] The monitoring module is responsible for monitoring the operating status of the electrode molten salt energy storage system and the biomass gasifier;

[0010] The energy storage mode adjustment module is responsible for determining the adjustment deviation data of the electrode molten salt energy storage system under the preset working mode based on the user's energy storage adjustment processing requirements. When the adjustment deviation data meets the requirements, the energy storage adjustment mode is determined based on the economic benefits of different adjustment schemes.

[0011] The control module is responsible for collaboratively controlling the thermal insulation treatment strategy of the electrode molten salt energy storage system, the energy storage adjustment treatment strategy of the electrode molten salt energy storage system, and the biomass gasifier based on the energy storage adjustment mode. According to the upper and lower limits of the thermal insulation setting, the temperature change data is collected in real time. The electric power required for thermal insulation is outputted by PID adjustment based on the fuzzy control algorithm. The adjustment treatment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined based on the change of the electric power.

[0012] The monitoring and regulating module is responsible for determining the adjustment judgment strategy of the energy storage regulation mode based on the adjustment data of the thermal insulation treatment of the electrode molten salt energy storage system.

[0013] The beneficial effects of the present invention are:

[0014] The intelligent monitoring system's control logic replaces the previous cumbersome manual operations that relied on human judgment. It automatically monitors and displays parameters and equipment such as water supply pipeline pressure and flow, heat storage tank liquid level, steam temperature and pressure, regulating valves, and inverter pumps. It utilizes fuzzy control algorithms to intelligently control system mode selection, automatic control of the electrode molten salt energy storage system, and output steam quality regulation. This control system not only simplifies operational procedures and reduces the workload of boiler operators, preventing operational errors, but also allows for unmanned boiler operation, saving labor costs. Its self-learning function optimizes the coupling between the biomass gasifier and the electrode molten salt energy storage system, significantly improving energy utilization while reducing energy consumption costs.

[0015] Based on Internet of Things communication technology, the system control logic also realizes the functions of remote maintenance and remote optimization program, enabling cloud platform or mobile client to monitor boiler operation status, energy consumption, fault warning in real time, and provide remote control and intelligent optimization functions.

[0016] Based on the changes in electric power, the adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined, thereby fully considering the changes in the electric power of the electrode molten salt energy storage system at different times, evaluating the working stability of the electrode molten salt energy storage system, and then realizing the determination of the adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system according to the difference in working stability, ensuring the working stability and safety during the energy storage adjustment process.

[0017] A further technical solution is that the operating status includes the liquid level and temperature of the high-temperature storage tank of the boiler of the electrode molten salt energy storage system, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, the monitoring data of the water pump, and the boiler temperature.

[0018] A further technical solution is that the control module also includes automatic control of the boiler of the electrode molten salt energy storage system, automatic load control, automatic output temperature control, automatic interlocking protection control, and MFT fault shutdown protection control.

[0019] A further technical solution is that the monitoring module uses the Internet of Things communication technology to monitor the operating status of the electrode molten salt energy storage system and the biomass gasification furnace, so as to realize real-time monitoring of the boiler operating status, energy consumption and fault warning on the cloud platform or mobile client.

[0020] A further technical solution is that the input control strategy of the automatic control includes:

[0021] When the starting conditions are met, press the one-touch start button to enter the power closing step. After receiving the closing feedback, the pump group and control valve in the system automatically enter the automatic state, stabilize for 10 seconds, and enter the pump start step. The circulation pump of the boiler of the electrode molten salt energy storage system starts according to the set frequency. After the frequency reaches the preset value and stabilizes for 1 minute, the power of the electrode molten salt energy storage system is automatically put into use and automatically adjusted according to the power setting value.

[0022] A further technical solution is that the startup conditions include the liquid level and temperature of the boiler's high-temperature storage tank, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, the monitoring data of the water pump, and the boiler temperature being within a preset operating range.

[0023] A further technical solution is that the input control strategy of the load automatic control includes:

[0024] After the boiler of the electrode molten salt energy storage system is started, the boiler maintains stable operation at the minimum load position for a preset period of time, and then automatically starts operation after the boiler power is stable;

[0025] Set the boiler's operating power target value SP. The logic program automatically sets the upper limit value SP1 and the lower limit value SP2 of the adjustment range according to the working conditions, and the real-time acquisition value PV of the boiler power.

[0026] The boiler power is input into PV according to the preset collection cycle. When PV≤SP2, the load is automatically increased. When the boiler operating power PV≥SP1, the load is automatically reduced.

[0027] A further technical solution is that the automatic increase in load or the automatic reduction in load is automatically controlled by adjusting the frequency of the circulation pump and the valve opening.

[0028] A further technical solution is that the stable state is determined according to whether the boiler temperature is within a preset temperature range.

[0029] A further technical solution is that the input control strategy of the output temperature automatic control includes:

[0030] Get the steam temperature set value SP, use the temperature control system to get the actual steam temperature in real time as the process value PV, the temperature set value SP is the target value, according to the temperature process value PV, positive feedback PID operation, adjust the two-stage temperature reduction control valve, and stabilize the output temperature by adjusting the water spray volume.

[0031] A further technical solution is that the temperature control system includes a steam outlet temperature transmitter, a first-stage cooling outlet temperature, a second-stage cooling outlet temperature, a cooling water pump, a first-stage cooling regulating valve, and a second-stage cooling regulating valve.

[0032] A further technical solution is that the preset working mode is based on the direct supply of heat energy by the biomass gasifier and the electrode molten salt energy storage system is in a storage-and-supply working mode.

[0033] A further technical solution is that the adjustment deviation data includes a deviation from the energy storage adjustment processing requirement of the user.

[0034] A further technical solution is to determine that the adjustment deviation data meets the requirements, specifically including:

[0035] Based on the adjustment deviation data, determining the adjustment deviation between the energy storage adjustment processing demand and the heat supply at different times;

[0036] Based on the adjustment deviations at different moments, determining the moment when the adjustment deviation is greater than a preset adjustment deviation threshold, and using the moment as the adjustment deviation moment;

[0037] According to the distribution data of the adjustment deviation at the time, it is determined whether the adjustment deviation data meets the requirements.

[0038] A further technical solution is that the heat supply is determined based on the sum of the maximum heat supply of the biomass gasifier for direct heat supply at different times and the maximum heat supply at the corresponding time when the electrode molten salt energy storage system is in a storage and supply working mode.

[0039] A further technical solution is to determine whether the adjustment deviation data meets the requirements based on the distribution data of the adjustment deviation at the time, which specifically includes:

[0040] Based on the distribution data of the adjustment deviation moments, determining a unit period in which the number of adjustment deviation moments is greater than the preset number of deviation moments, and using the unit period as a deviation aggregation period;

[0041] It is determined whether the adjustment deviation data meets the requirements according to the number of the deviation aggregation periods.

[0042] A further technical solution is that when the number of the deviation aggregation periods is greater than a preset aggregation period number threshold, it is determined that the adjustment deviation data does not meet the requirements.

[0043] A further technical solution is that, when the adjustment deviation data does not meet the requirements, the energy storage adjustment mode is set to a working mode in which the electrode molten salt energy storage system is in a storage-and-supply mode, and a working mode in which the biomass gasifier supplies heat to the electrode molten salt energy storage system, and the heating amount of the electrode molten salt energy storage system and the biomass gasifier is determined with the goal of optimizing economic benefits.

[0044] A further technical solution is that the method for determining the energy storage adjustment mode is:

[0045] Determine the economic benefits of different regulation schemes based on the price of biomass fuel, electricity price, user's energy storage regulation needs, and the unit price of different forms of heat sold by users;

[0046] With the goal of maximizing the economic benefits of different regulation schemes, the regulation scheme with the greatest economic benefits is used as the energy storage regulation mode.

[0047] A further technical solution is that the method for determining the electric power required for the insulation is:

[0048] The time period within the preset time period closest to the current moment is used as the reference time period;

[0049] Obtaining variations of the electrode molten salt energy storage system at different times and in adjacent migration periods during a reference period;

[0050] Taking the variation at different times and the upper and lower limits of the insulation setting of the electrode molten salt energy storage system as input, the output result of the PID adjustment output strategy based on the fuzzy control algorithm is used to determine the electric power required for insulation.

[0051] A further technical solution is to determine an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system based on the variation of the electric power, specifically including:

[0052] Establishing temperature intervals, determining the matching between the operating temperature of the electrode molten salt energy storage system and the temperature intervals at different times, and determining the matching temperature intervals at different times based on the matching;

[0053] According to the matching temperature ranges at different moments in the reference period and the variation of the electric power, an adjustment processing strategy for the thermal insulation treatment of the electrode molten salt energy storage system is output through function calculation.

[0054] A further technical solution is that the temperature range is divided and processed according to preset intervals based on the rated operating temperature range of the electrode molten salt energy storage system.

[0055] A further technical solution is to output an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system through function calculation according to the matching temperature range at different times and the change of the electric power, which specifically includes:

[0056] Determine the preset heating power at different times based on the preset heating power corresponding to the matching temperature range at different times;

[0057] Determining the deviation between the electric power at different times and the preset heating power based on the change in the electric power;

[0058] When the deviations between the electric power at different times and the preset heating power are all within the preset deviation range, the future insulation treatment of the electrode molten salt energy storage system is still carried out with the electric power;

[0059] When there is a moment when the deviation between the electric power and the preset heating power is not within the preset deviation interval, it is determined whether the number of moments when the deviation is not within the preset deviation interval is within the preset moment number interval. If so, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the average value of the electric power and the preset heating power. If not, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the maximum value of the electric power and the preset heating power.

[0060] A further technical solution is that the adjustment processing strategy of the thermal insulation treatment of the electrode molten salt energy storage system is judged and processed according to a preset time period.

[0061] A further technical solution is that the method for determining the adjustment judgment strategy of the energy storage regulation mode is:

[0062] According to the adjustment method of the electrode molten salt energy storage system in different preset time periods within the preset time period, a preset time period in which the insulation power is adjusted is determined, and the preset time period is used as the insulation strategy adjustment period;

[0063] The adjustment judgment strategy of the energy storage regulation mode is determined based on the analysis result of the heat preservation strategy adjustment period.

[0064] A further technical solution is to determine the optimization adjustment strategy of the energy storage regulation mode based on the analysis results of the insulation strategy adjustment period, which specifically includes:

[0065] When there is no insulation strategy adjustment cycle, there is no need to adjust the energy storage regulation mode;

[0066] When there is a heat preservation strategy adjustment cycle, if it is determined that the number of the heat preservation strategy adjustment cycles is greater than a preset adjustment cycle number threshold, then in the future preset time period, as long as there is an adjustment of the heat preservation power, the energy storage regulation mode adjustment judgment process needs to be performed;

[0067] Specifically, it should be noted that the stability of the insulation treatment of the electrode molten salt energy storage system in the energy storage regulation mode at this time is not high. Therefore, it is necessary to further judge the remaining energy storage space of the current electrode molten salt energy storage system and the changes in the remaining energy storage space during the energy storage regulation process, and then determine whether the energy storage regulation mode needs to be adjusted.

[0068] When the number of the heat preservation strategy adjustment cycles is not greater than the preset adjustment cycle number threshold, the energy storage regulation mode adjustment judgment process is performed when there are a preset number of heat preservation strategy adjustment cycles within a future preset time period.

[0069] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0070] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings;

[0072] Figure 1 It is a framework diagram of a smart monitoring system for a multi-coupling energy storage system based on fuzzy control algorithm;

[0073] Figure 2 It is a flow chart of the input control strategy of load automatic control;

[0074] Figure 3 is a flow chart of a method for determining an energy storage regulation mode;

[0075] Figure 4 It is the automatic logic flow chart of the boiler of the electrode molten salt energy storage system;

[0076] Figure 5 It is the logic flow chart of energy storage and heat release control. DETAILED DESCRIPTION

[0077] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0078] The technical solution of the present invention is to use intelligent control instruments and equipment such as pressure, temperature, and actuators, and through a control processor + Internet of Things communication system, to achieve automatic control of the electrode molten salt energy storage system, energy storage control, heat release control, insulation control, boiler load automatic control, output temperature automatic control, interlocking protection automatic control, and MFT fault shutdown protection control. It can also achieve the goals of remote control of the boiler, parameter adjustment, and monitoring of boiler parameter status operation through a cloud platform or mobile client.

[0079] Example 1

[0080] like Figure 1 As shown, the present application provides a multi-element coupled energy storage system intelligent monitoring system based on fuzzy control algorithm, specifically including:

[0081] Monitoring module, control module, energy storage mode adjustment module;

[0082] The monitoring module is responsible for monitoring the operating status of the electrode molten salt energy storage system and the biomass gasifier;

[0083] IoT Monitoring System: This system combines a control system information processor with an IoT data platform to achieve cloud-based control and data transmission. The host computer can set different collection cycles to facilitate real-time data collection for critical data, while also extending the collection cycle for less critical data, effectively reducing the cost of daily monitoring and maintenance. Its basic architecture utilizes the boiler control processor (CPU) to collect real-time data from smart instruments, sensors, inverters, and intelligent integrated actuators. The IoT module is equipped with Modbus RTU serial data acquisition interfaces and TCP / IP data acquisition interfaces. The system control processor connects via RS485, RS232, and LAN interfaces. The processed data is uploaded to a cloud server via 4G / 5G / Ethernet / Wi-Fi networks. Login and connection are established through a designated website, allowing for remote real-time monitoring by accessing parameters on the cloud server. The system CPU can also be remotely controlled through the cloud server, enabling program monitoring and downloading. The cloud server's remote desktop function allows for remote maintenance and modification of the host computer's user interface within the system control room. The system configuration of system controller + IoT module is easy to install, simple to maintain, with fast connection speed and stable data transmission.

[0084] Furthermore, the operating status includes the liquid level and temperature of the high-temperature storage tank of the boiler of the electrode molten salt energy storage system, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, the monitoring data of the water pump, and the boiler temperature.

[0085] Furthermore, the monitoring module uses the Internet of Things communication technology to monitor the operating status of the electrode molten salt energy storage system and the biomass gasifier, so that the cloud platform or mobile client can monitor the boiler operating status, energy consumption, and fault warning in real time.

[0086] The energy storage mode adjustment module is responsible for determining the adjustment deviation data of the electrode molten salt energy storage system under the preset working mode based on the user's energy storage adjustment processing requirements. When the adjustment deviation data meets the requirements, the energy storage adjustment mode is determined based on the economic benefits of different adjustment schemes.

[0087] Specifically, the control module also includes automatic control of the boiler of the electrode molten salt energy storage system, automatic load control, automatic output temperature control, automatic interlocking protection control, and MFT fault shutdown protection control.

[0088] Specifically, the input control strategy of the automatic control includes:

[0089] When the starting conditions are met, press the one-touch start button to enter the power closing step. After receiving the closing feedback, the pump group and control valve in the system automatically enter the automatic state, stabilize for 10 seconds, and enter the pump start step. The circulation pump of the boiler of the electrode molten salt energy storage system starts according to the set frequency. After the frequency reaches the preset value and stabilizes for 1 minute, the power of the electrode molten salt energy storage system is automatically put into use and automatically adjusted according to the power setting value.

[0090] Furthermore, the startup conditions include the liquid level and temperature of the boiler's high-temperature storage tank, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, monitoring data of the water pump, and the boiler temperature being within a preset operating range.

[0091] It should be noted that if Figure 2 As shown, the load automatic control input control strategy includes:

[0092] After the boiler of the electrode molten salt energy storage system is started, the boiler maintains stable operation at the minimum load position for a preset period of time, and then automatically starts operation after the boiler power is stable;

[0093] Set the boiler's operating power target value SP. The logic program automatically sets the upper limit value SP1 and the lower limit value SP2 of the adjustment range according to the working conditions, and the real-time acquisition value PV of the boiler power.

[0094] The boiler power is input into PV according to the preset collection cycle. When PV≤SP2, the load is automatically increased. When the boiler operating power PV≥SP1, the load is automatically reduced.

[0095] Furthermore, the automatic increase in load or the automatic reduction in load is automatically controlled by adjusting the frequency of the circulation pump and the valve opening.

[0096] It can be understood that the stable state is determined according to whether the boiler temperature is within a preset temperature range.

[0097] Furthermore, the input control strategy of the output temperature automatic control includes:

[0098] Get the steam temperature set value SP, use the temperature control system to get the actual steam temperature in real time as the process value PV, the temperature set value SP is the target value, according to the temperature process value PV, positive feedback PID operation, adjust the two-stage temperature reduction control valve, and stabilize the output temperature by adjusting the water spray volume.

[0099] Specifically, the temperature control system includes a steam outlet temperature transmitter, a first-stage desuperheating outlet temperature, a second-stage desuperheating outlet temperature, a desuperheating water pump, a first-stage desuperheating regulating valve, and a second-stage desuperheating regulating valve.

[0100] Furthermore, the preset working mode is based on the direct supply of heat energy by the biomass gasifier and the electrode molten salt energy storage system being in a storage-and-supply working mode.

[0101] It can be understood that the adjustment deviation data includes the deviation from the energy storage adjustment processing requirements of the user.

[0102] Specifically, determining whether the adjustment deviation data meets the requirements specifically includes:

[0103] Based on the adjustment deviation data, determining the adjustment deviation between the energy storage adjustment processing demand and the heat supply at different times;

[0104] Based on the adjustment deviation at different times, the time when the adjustment deviation is greater than the preset adjustment deviation threshold is determined and used as the adjustment deviation threshold. Figure 1 As shown, the present application provides a multivariate deviation moment based on a fuzzy control algorithm;

[0105] According to the distribution data of the adjustment deviation at the time, it is determined whether the adjustment deviation data meets the requirements.

[0106] Furthermore, the heat supply is determined based on the sum of the maximum heat supply of the biomass gasifier for direct heat supply at different times and the maximum heat supply at the corresponding time when the electrode molten salt energy storage system is in a storage-and-supply working mode.

[0107] It should also be noted that, based on the distribution data of the adjustment deviation at the time, determining whether the adjustment deviation data meets the requirements specifically includes:

[0108] Based on the distribution data of the adjustment deviation moments, determining a unit period in which the number of adjustment deviation moments is greater than the preset number of deviation moments, and using the unit period as a deviation aggregation period;

[0109] It is determined whether the adjustment deviation data meets the requirements according to the number of the deviation aggregation periods.

[0110] Further, when the number of the deviation aggregation periods is greater than a preset aggregation period number threshold, it is determined that the adjustment deviation data does not meet the requirements.

[0111] It should be noted that when the adjustment deviation data does not meet the requirements, the energy storage adjustment mode is set to the working mode in which the electrode molten salt energy storage system is in a storage and supply mode, and the working mode in which the biomass gasifier supplies heat to the electrode molten salt energy storage system, and the heating amount of the electrode molten salt energy storage system and the biomass gasifier is determined with the goal of optimizing economic benefits.

[0112] Optionally, determining whether the adjustment deviation data meets the requirements specifically includes:

[0113] Based on the adjustment deviation data, determining the adjustment deviation between the energy storage adjustment processing demand and the heat supply at different times;

[0114] Based on the adjustment deviations at different moments, determining the moment when the adjustment deviation is greater than a preset adjustment deviation threshold, and using the moment as the adjustment deviation moment;

[0115] According to the interval data of different adjustment deviation moments, it is determined whether the adjustment deviation data meets the requirements.

[0116] Furthermore, determining whether the adjustment deviation data meets the requirements based on the interval data of different adjustment deviation moments specifically includes:

[0117] The adjustment deviation moment whose number of interval moments with the adjacent adjustment deviation moments is less than a preset interval moment number threshold is used as the distribution aggregation moment;

[0118] When the number of the distribution aggregation moments is greater than a preset aggregation moment number threshold, it is determined that the adjustment deviation data does not meet the requirements.

[0119] Specifically, such as Figure 3 As shown, the method for determining the energy storage adjustment mode is:

[0120] Determine the economic benefits of different regulation schemes based on the price of biomass fuel, electricity price, user's energy storage regulation needs, and the unit price of different forms of heat sold by users;

[0121] With the goal of maximizing the economic benefits of different regulation schemes, the regulation scheme with the greatest economic benefits is used as the energy storage regulation mode.

[0122] The control module is responsible for collaboratively controlling the thermal insulation treatment strategy of the electrode molten salt energy storage system, the energy storage adjustment treatment strategy of the electrode molten salt energy storage system, and the biomass gasifier based on the energy storage adjustment mode. According to the upper and lower limits of the thermal insulation settings, the control module collects temperature change data in real time, uses the PID adjustment based on the fuzzy control algorithm to output the electric power required for thermal insulation, and determines the adjustment treatment strategy for the thermal insulation treatment of the electrode molten salt energy storage system based on the changes in the electric power.

[0123] Specifically, the method for determining the electric power required for the insulation is:

[0124] The time period within the preset time period closest to the current moment is used as the reference time period;

[0125] Obtaining variations of the electrode molten salt energy storage system at different times and in adjacent migration periods during a reference period;

[0126] The variation at different times and the upper and lower limits of the insulation setting are used as input, and the output results of the PID adjustment output strategy based on the fuzzy control algorithm are used to determine the electric power required for insulation.

[0127] Furthermore, based on the variation of the electric power, an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined, specifically including:

[0128] Establishing temperature intervals, determining the matching between the operating temperature of the electrode molten salt energy storage system and the temperature intervals at different times, and determining the matching temperature intervals at different times based on the matching;

[0129] According to the matching temperature ranges at different moments in the reference period and the variation of the electric power, an adjustment processing strategy for the thermal insulation treatment of the electrode molten salt energy storage system is output through function calculation.

[0130] It can be understood that the temperature range is divided and processed according to the preset intervals based on the rated operating temperature range of the electrode molten salt energy storage system.

[0131] Furthermore, according to the matching temperature range at different times and the variation of the electric power, an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is output through function calculation, specifically including:

[0132] Determine the preset heating power at different times based on the preset heating power corresponding to the matching temperature range at different times;

[0133] Determining the deviation between the electric power at different times and the preset heating power based on the change of the electric power;

[0134] When the deviations between the electric power at different times and the preset heating power are all within the preset deviation range, the future insulation treatment of the electrode molten salt energy storage system is still carried out with the electric power;

[0135] When there is a moment when the deviation between the electric power and the preset heating power is not within the preset deviation interval, it is determined whether the number of moments when the deviation is not within the preset deviation interval is within the preset moment number interval. If so, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the average value of the electric power and the preset heating power. If not, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the maximum value of the electric power and the preset heating power.

[0136] Specifically, the method for determining the adjustment judgment strategy of the energy storage regulation mode is:

[0137] According to the adjustment method of the electrode molten salt energy storage system in different preset time periods within the preset time period, a preset time period in which the insulation power is adjusted is determined, and the preset time period is used as the insulation strategy adjustment period;

[0138] The adjustment judgment strategy of the energy storage regulation mode is determined based on the analysis result of the heat preservation strategy adjustment period.

[0139] It is understandable that the optimization adjustment strategy of the energy storage regulation mode is determined based on the analysis results of the insulation strategy adjustment period, specifically including:

[0140] When there is no insulation strategy adjustment cycle, there is no need to adjust the energy storage regulation mode;

[0141] When there is a heat preservation strategy adjustment cycle, if it is determined that the number of the heat preservation strategy adjustment cycles is greater than a preset adjustment cycle number threshold, then in the future preset time period, as long as there is an adjustment of the heat preservation power, the energy storage regulation mode adjustment judgment process needs to be performed;

[0142] Specifically, it should be noted that the stability of the insulation treatment of the electrode molten salt energy storage system in the energy storage regulation mode at this time is not high. Therefore, it is necessary to further judge the remaining energy storage space of the current electrode molten salt energy storage system and the changes in the remaining energy storage space during the energy storage regulation process, and then determine whether the energy storage regulation mode needs to be adjusted.

[0143] In a possible embodiment, the remaining energy storage space of the current electrode molten salt energy storage system, the change in the remaining energy storage space during the energy storage adjustment process, and the adjustment data of the insulation power of the insulation treatment of the electrode molten salt energy storage system are used as input quantities, and the output results of the mathematical model based on the hierarchical analysis method are used to determine whether the energy storage adjustment mode needs to be adjusted.

[0144] When the number of the heat preservation strategy adjustment cycles is not greater than the preset adjustment cycle number threshold, the energy storage regulation mode adjustment judgment process is performed when there are a preset number of heat preservation strategy adjustment cycles within a future preset time period.

[0145] In another embodiment, the method for determining the adjustment judgment strategy of the energy storage regulation mode is:

[0146] According to the adjustment method of the electrode molten salt energy storage system in different preset time periods within the preset time period, a preset time period in which the insulation power is adjusted is determined, and the preset time period is used as the insulation strategy adjustment period;

[0147] The moment when the insulation power is adjusted in different insulation strategy adjustment cycles is used as the insulation power adjustment moment;

[0148] It should be noted that the time when the heat-insulating power is adjusted is not the time when the heat-insulating treatment is performed using electric power.

[0149] The adjustment judgment strategy of the energy storage regulation mode is determined according to the number of heat preservation power adjustment moments in the heat preservation strategy adjustment cycle.

[0150] It is understandable that the adjustment judgment strategy of the energy storage regulation mode is determined based on the number of insulation power adjustment moments in the insulation strategy adjustment period, specifically including:

[0151] When the number of insulation power adjustment moments accounts for more than 0.6 of the insulation strategy adjustment cycles and is greater than the preset cycle number threshold, then in the future preset time period, as long as there is an insulation power adjustment, the energy storage regulation mode adjustment judgment process needs to be performed;

[0152] If the number of insulation power adjustment moments accounts for more than 0.6 of the insulation strategy adjustment cycles, which is greater than the preset cycle number threshold, then when there are a preset number, i.e., 3 insulation strategy adjustment cycles, within the future preset time period, the energy storage regulation mode is adjusted and judged.

[0153] Example 2

[0154] like Figure 5 As shown, it is the energy storage and heat release control logic flow chart of the present application. In another embodiment, the automatic logic of the electrode molten salt energy storage system: detects the liquid levels of the boiler, high-temperature storage tank, low-temperature storage tank, and hot water storage tank, the working status of each pump in the system, the boiler temperature and other parameters. When the start conditions are met, press the one-touch start button to enter the power closing step. After receiving the closing feedback, the pump group and control valve in the system automatically enter the automatic state, stabilize for 10 seconds, and enter the pump start step. The circulating pump of the electrode molten salt energy storage system starts according to the set frequency. After the frequency reaches the predetermined value, it stabilizes for 1 minute. The power of the electrode molten salt energy storage system is automatically put into use and automatically adjusted according to the power setting value.

[0155] Specifically, the energy storage and heat release control logic: based on the prices of biomass fuels and peak and valley electricity prices at different times of the year, the heat supply to users at different times, the unit prices of different forms of heat sold by users, and the expected profit margins of users, the system can use the information collected by intelligent monitoring and the user input information. Through internal algorithms, operation history records and expert databases, the system automatically considers and determines the optimal solution. In automatic mode, it automatically executes heating, heat storage or storage-and-supply mode, and automatically switches which energy source to use for heat storage at different times. Manual mode is used as an emergency measure for manual intervention.

[0156] Automatic load control logic: After the electrode molten salt energy storage system is started, the boiler maintains stable operation at the minimum load position for a period of time. After the boiler power is automatically put into operation, the system basically tends to be stable, preventing long-term overshoot caused by direct automatic power input.

[0157] Automatic temperature control logic: The temperature control system includes a steam outlet temperature transmitter, first-stage and second-stage desuperheater outlet temperatures, a desuperheater water pump, and first-stage and second-stage desuperheater control valves. The steam temperature setpoint SP is the target value, while the measured steam temperature is the process value PV. Based on the process value PV, a positive feedback PID calculation is used to adjust the two-stage desuperheater control valves. By adjusting the water spray rate, the output temperature is stabilized, achieving automatic temperature control.

[0158] Boiler interlocking protection control logic:

[0159] like Figure 4 The figure below shows the automatic logic flow chart for the boiler in the electrode molten salt energy storage system. The MFT (Main Fuel Trip) protection control is the core of boiler safety protection. Its function is to monitor whether various predetermined safe operating conditions are met. Once an MFT condition occurs, power output is quickly cut off and the emergency shutdown procedure is initiated to prevent accidents. The MFT fault shutdown sequence is as follows: the boiler's circulating pump frequency is reduced to a preset value, followed by disconnection of the high-voltage power supply, a one-minute delay, and the circulating pump is stopped, putting the boiler system into a standby state after shutdown.

[0160]

[0161] Optionally, the method for determining the adjustment treatment strategy of the thermal insulation treatment of the electrode molten salt energy storage system is:

[0162] Obtaining the temperature of the electrode molten salt energy storage system at a current moment, and determining a temperature deviation value based on the deviation between the temperature of the electrode molten salt energy storage system at the current moment and the upper and lower limits of the insulation setting;

[0163] Determining the preset heating powers at different times based on the preset heating powers corresponding to the matching temperature intervals at different times in the reference period, determining the deviations between the electric power at different times and the preset heating powers based on the variation of the electric power, and determining the power variation deviation values based on the deviations between the electric power at different times in the reference period and the preset heating powers;

[0164] An adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined according to the temperature deviation value and the power variation deviation value.

[0165] Furthermore, an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined according to the temperature deviation value and the power variation deviation value, specifically including:

[0166] When the temperature deviation value is less than the temperature deviation value threshold, it is determined that the thermal insulation treatment strategy of the electrode molten salt energy storage device needs to be adjusted;

[0167] When the temperature deviation value is not less than the temperature deviation value threshold, it is also necessary to determine whether the power change deviation value is greater than the change deviation value threshold. If so, the electrode molten salt energy storage system is kept warm at different times within a future preset time period using the maximum value of the electric power and the preset heating power. If not, the electrode molten salt energy storage system is kept warm at different times within a future preset time period using the average value of the electric power and the preset heating power.

[0168] It is understandable that determining the need to adjust the thermal insulation treatment strategy of the electrode molten salt energy storage device specifically includes:

[0169] During the insulation treatment at different moments in the future, the energy storage adjustment mode is set to the working mode in which the electrode molten salt energy storage system is in the storage-and-supply mode, and the working mode in which the biomass gasifier heats the electrode molten salt energy storage system.

[0170] Optionally, before determining the power change deviation value, it is also necessary to determine in turn whether the temperature deviation value is greater than the temperature deviation value threshold and whether the temperature deviation value is within the preset temperature deviation value range. When the temperature deviation value is not greater than the temperature deviation value threshold and is not within the preset temperature deviation value range, the power change deviation value is determined.

[0171] It should be noted that when the temperature deviation value is less than the temperature deviation value threshold, it means that the distance to the endpoint is close, so insulation treatment may need to be performed as soon as possible. Therefore, it is necessary to adjust the insulation treatment strategy of the electrode molten salt energy storage device. When the temperature deviation value is not less than the temperature deviation value threshold, it is necessary to further determine whether the temperature deviation value is within the preset temperature deviation value range.

[0172] When the temperature deviation value is within the preset temperature deviation value range, it is necessary to further determine whether the number of moments in the reference time period when the temperature deviation value is less than the temperature deviation value threshold meets the requirements. If so, the power change deviation value is determined. If not, it is determined that the insulation treatment strategy of the electrode molten salt energy storage device needs to be adjusted.

[0173] The preset heating power corresponding to the matching temperature range at different times in the reference time period is used to determine the preset heating power at different times. The deviation between the electric power at different times and the preset heating power is determined based on the change in the electric power. The power change deviation value is determined based on the deviation between the electric power at different times in the reference time period and the preset heating power.

[0174] For example, before determining the power variation deviation value, the following contents are also required:

[0175] When the deviations between the electric power at different moments in the reference period and the preset heating power are all within the preset deviation range, the future insulation treatment of the electrode molten salt energy storage system is still performed with the electric power;

[0176] When there is a moment when the deviation between the electric power and the preset heating power is not within the preset deviation interval, it is determined whether the number of moments when the deviation is not within the preset deviation interval is within the preset moment number interval. If so, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the average value of the electric power and the preset heating power. If not, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period using the maximum value of the electric power and the preset heating power.

[0177] It should be noted that when the number of moments when the deviation is not within the preset deviation range is within the preset moment number range, it means that the deviation between the electric power and the preset heating power at this time is small. Therefore, in order to avoid excessive changes in the insulation temperature of the electrode molten salt system and at the same time meet the regulation requirements of the electrode molten salt system, the insulation treatment of the electrode molten salt energy storage system at different moments in the future preset time period can be carried out by using the average value of the electric power and the preset heating power.

[0178] In addition, when the number of moments when the deviation is not within the preset deviation range is not within the preset moment number range, it means that the deviation between the electric heating power based on the change at different moments and the preset heating power for maintaining the temperature of the electrode molten salt system stable is large. Therefore, in order to ensure that the temperature of the electrode molten salt system remains stable and the energy storage capacity of the electrode molten salt system remains within a reasonable range, the electrode molten salt energy storage system is kept warm at different moments in the future preset time period with the maximum value of the electric power and the preset heating power.

[0179] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0180] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0181] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A multi-element coupled energy storage system intelligent monitoring system based on fuzzy control algorithm, characterized in that: Specifically include: Monitoring module, control module, energy storage mode adjustment module, monitoring and adjustment module; The monitoring module is responsible for monitoring the operating status of the electrode molten salt energy storage system and the biomass gasifier; The energy storage mode adjustment module is responsible for determining the adjustment deviation data of the electrode molten salt energy storage system under the preset working mode based on the user's energy storage adjustment processing requirements. When the adjustment deviation data meets the requirements, the energy storage adjustment mode is determined based on the economic benefits of different adjustment schemes. The control module is responsible for collaboratively controlling the thermal insulation treatment strategy of the electrode molten salt energy storage system, the energy storage adjustment treatment strategy of the electrode molten salt energy storage system, and the biomass gasifier based on the energy storage adjustment mode. According to the upper and lower limits of the thermal insulation setting, the temperature change data is collected in real time. The electric power required for thermal insulation is outputted by PID adjustment based on the fuzzy control algorithm. The adjustment treatment strategy for the thermal insulation treatment of the electrode molten salt energy storage system is determined based on the change of the electric power. The monitoring and adjustment module is responsible for determining the adjustment judgment strategy of the energy storage adjustment mode based on the adjustment data of the insulation treatment of the electrode molten salt energy storage system; Determining that the adjustment deviation data meets the requirements specifically includes: Based on the adjustment deviation data, determining the adjustment deviation between the energy storage adjustment processing demand and the heat supply at different times; Based on the adjustment deviations at different moments, determining the moment when the adjustment deviation is greater than a preset adjustment deviation threshold, and using the moment as the adjustment deviation moment; Determining whether the adjustment deviation data meets the requirements based on the interval data of different adjustment deviation moments, taking the adjustment deviation moments whose number of interval moments with adjacent adjustment deviation moments is less than a preset interval moment number threshold as the distribution aggregation moment, and determining that the adjustment deviation data does not meet the requirements when the number of the distribution aggregation moments is greater than the preset aggregation moment number threshold; The method for determining the energy storage adjustment mode is: Determine the economic benefits of different regulation schemes based on the price of biomass fuel, electricity price, user's energy storage regulation needs, and the unit price of different forms of heat sold by users; The goal is to maximize the economic benefits of different regulation schemes, and the regulation scheme with the greatest economic benefits is used as the energy storage regulation mode; Determining an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system based on the variation of the electric power specifically includes: Establishing temperature intervals, determining the matching between the operating temperature of the electrode molten salt energy storage system and the temperature intervals at different times, and determining the matching temperature intervals at different times based on the matching; Outputting an adjustment strategy for the thermal insulation treatment of the electrode molten salt energy storage system through function calculation according to the matching temperature range at different times in the reference period and the variation of the electric power; The method for determining the adjustment judgment strategy of the energy storage regulation mode is: According to the adjustment method of the electrode molten salt energy storage system in different preset time periods within the preset time period, a preset time period in which the insulation power is adjusted is determined, and the preset time period is used as the insulation strategy adjustment period; Determining an adjustment judgment strategy for the energy storage regulation mode based on an analysis result of the heat preservation strategy adjustment period; When there is no insulation strategy adjustment cycle, there is no need to adjust the energy storage regulation mode; When there is a heat preservation strategy adjustment cycle, when it is determined that the number of the heat preservation strategy adjustment cycles is greater than the preset adjustment cycle number threshold, then in the future preset time period, as long as there is an adjustment of the heat preservation power, the energy storage regulation mode needs to be adjusted and judged.

2. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 1, characterized in that: The operating status includes the liquid level and temperature of the high-temperature storage tank of the boiler of the electrode molten salt energy storage system, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, the monitoring data of the water pump, and the boiler temperature.

3. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 1, characterized in that: The control module also includes automatic control of the boiler of the electrode molten salt energy storage system, automatic load control, automatic output temperature control, automatic interlocking protection control, and MFT fault shutdown protection control.

4. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 1, characterized in that: The monitoring module uses the Internet of Things communication technology to monitor the operating status of the electrode molten salt energy storage system and the biomass gasifier, so that the cloud platform or mobile client can monitor the boiler operating status, energy consumption, and fault warning in real time.

5. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 3, characterized in that: The input control strategy of the automatic control includes: When the starting conditions are met, press the one-touch start button to enter the power closing step. After receiving the closing feedback, the pump group and control valve in the system automatically enter the automatic state, stabilize for 10 seconds, and enter the pump start step. The circulating pump of the boiler of the electrode molten salt energy storage system starts according to the set frequency. After the frequency reaches the preset value and stabilizes for 1 minute, the power of the electrode molten salt energy storage system is automatically put into use and automatically adjusted according to the power setting value.

6. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 5, characterized in that: The startup conditions include the liquid level and temperature of the boiler's high-temperature storage tank, the liquid level and temperature of the low-temperature storage tank, the liquid level and temperature of the hot water storage tank, monitoring data of the water pump, and the boiler temperature being within a preset operating range.

7. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 3, characterized in that: The input control strategy of the load automatic control includes: After the boiler of the electrode molten salt energy storage system is started, the boiler maintains stable operation at the minimum load position for a preset period of time, and then automatically starts operation after the boiler power is stable; Set the boiler's operating power target value SP. The logic program automatically sets the upper limit value SP1 and the lower limit value SP2 of the adjustment range according to the working conditions, and the real-time acquisition value PV of the boiler power. The boiler power is input into PV according to the preset collection cycle. When PV≤SP2, the load is automatically increased. When the boiler operating power PV≥SP1, the load is automatically reduced.

8. The intelligent monitoring system for a multi-element coupled energy storage system based on a fuzzy control algorithm according to claim 1, characterized in that: The preset working mode is based on the direct supply of heat energy by the biomass gasifier and the electrode molten salt energy storage system being in a storage-and-supply working mode.

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