Multi-temperature-zone heat storage system optimization control method, device and equipment and storage medium
Through the optimization control method of the multi-temperature zone heat storage system, the low efficiency problem caused by the single temperature zone of the existing heat storage system is solved, the efficient storage and utilization of heat sources at different temperatures are achieved, and the overall efficiency and flexibility of the system are improved.
Patent Information
- Application Number
- CN202510796305.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2025-09-23
AI Technical Summary
The existing industrial heat storage system has a single applicable temperature zone, resulting in low heat charging and discharging efficiency, making it difficult to meet the demand for efficient storage of energy under conditions of unstable grade and uneven temporal and spatial distribution.
A multi-temperature zone heat storage system is adopted. By constructing the efficiency function of the multi-temperature zone heat storage system, combining the performance functions and heat storage ratio of multiple heat storage chambers, setting the constraints of the control parameters, and optimizing the solution to obtain the optimal control parameters, the efficiency of thermal energy storage and utilization is improved.
It realizes the hierarchical storage and utilization of heat sources at different temperatures, improves the overall efficiency of the heat storage system, reduces high-temperature energy loss and low-temperature energy waste, and enhances the operational stability and flexibility of the system.
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Figure CN120684741A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of energy storage technology, and in particular to a multi-temperature zone heat storage system optimization control method, device, equipment and storage medium. Background Art
[0002] As an international cutting-edge technology, heat storage is the main way to resolve the mismatch between thermal energy supply and demand in time and space. It can achieve the continuous, efficient, and stable utilization of renewable energy and industrial waste heat, and has important practical significance in ensuring national energy security, improving the energy consumption structure, and promoting energy economic development. First, heat storage can effectively connect unstable renewable energy sources such as solar energy, wind energy, and ocean energy, and transform them into a reliable and stable energy supply. Second, heat storage technology is a strong backing for the construction of smart grids. It can not only improve the smart grid's compatibility with renewable energy generation, but also realize the two-way interaction of smart grid energy, shaving peaks and filling valleys, and improving energy supply flexibility. Finally, efficient heat storage systems can effectively expand heat sources, ensure clean heating for residents, reduce high-quality and energy consumption, and achieve significant economic, environmental, and social benefits.
[0003] Currently, the heat storage systems commonly used in industry have a single applicable temperature zone and low heat charging and discharging efficiency, making it difficult to meet the demand for efficient storage of energy under conditions of unstable quality and uneven temporal and spatial distribution. Summary of the Invention
[0004] In view of this, the present invention provides a multi-temperature zone heat storage system optimization control method, device, equipment and storage medium to improve the storage and utilization efficiency of thermal energy.
[0005] In a first aspect, the present invention provides a multi-temperature zone heat storage system optimization control method, which is applied to the multi-temperature zone heat storage system, wherein the multi-temperature zone heat storage system includes multiple heat storage chambers, each heat storage chamber includes multiple heat storage bodies, and the multi-temperature zone heat storage system optimization control method includes: constructing a performance function of the heat storage chamber based on control parameters of the multiple heat storage bodies and the number of heat storage bodies; constructing an efficiency function of the multi-temperature zone heat storage system based on the performance functions of the multiple heat storage chambers and the heat storage ratio of each heat storage chamber; setting constraints on control parameters with the goal of maximizing the efficiency function, and constructing an operation model of the multi-temperature zone heat storage system; and optimizing and solving the multi-temperature zone heat storage system operation model to obtain optimal control parameters for each heat storage chamber.
[0006] In this implementation, by considering the impact of multiple heat storage bodies in the heat storage chamber on the performance of the heat storage body and the impact of multiple heat storage chambers on the efficient operation of the multi-temperature zone heat storage system, an efficiency function is constructed as the objective function, and constraints are imposed on multiple control parameters that affect the objective function. This can integrate the parameters of multiple heat storage devices within the multi-temperature zone heat storage system, improve the accuracy of the model, and the optimal control parameters obtained can improve the storage and utilization efficiency of thermal energy.
[0007] In an optional embodiment, the control parameters of the thermal storage body include the thermal storage body mass and the thermal storage body temperature. Constructing a performance function of the thermal storage chamber based on the control parameters of the multiple thermal storage bodies and the number of thermal storage bodies includes: constructing a thermal storage chamber temperature variance function based on the thermal storage body temperatures of the multiple thermal storage bodies in the thermal storage chamber; constructing a thermal storage capacity function based on the thermal storage body temperatures and the thermal storage body masses of the multiple thermal storage bodies in the thermal storage chamber; and combining the thermal storage chamber temperature variance function with the thermal storage capacity function to obtain the thermal storage chamber performance function.
[0008] In an optional embodiment, the thermal storage chamber temperature variance function is: Where Δt is the temperature variance function of the thermal storage chamber, N is the number of thermal storage bodies in the thermal storage chamber, and t i is the temperature of the i-th heat storage body in the heat storage chamber, is the average temperature of multiple heat storage bodies in the heat storage body; the heat storage function of the heat storage chamber is: Where c is the heat storage function of the thermal storage chamber, m i is the mass of the i-th heat storage body in the heat storage chamber, C p,i is the specific heat capacity of the i-th heat storage body in the heat storage chamber.
[0009] In this implementation, the influence of the temperature difference of the thermal storage body on the performance of the thermal storage chamber and the influence of the heat storage capacity of the thermal storage body on the performance of the thermal storage chamber are comprehensively considered, which can improve the accuracy of the thermal storage chamber performance function.
[0010] In an optional embodiment, the multi-temperature zone heat storage system includes multiple heat storage chambers with different temperatures. The efficiency function of the multi-temperature zone heat storage system is constructed by combining the performance functions of the multiple heat storage chambers and the heat storage ratio of each heat storage chamber. The efficiency function of the multi-temperature zone heat storage system is constructed by using the heat storage ratio of the heat storage chamber as a weight of the performance function of the heat storage chamber. The higher the temperature of the heat storage chamber, the greater the heat storage ratio of the heat storage chamber.
[0011] In this implementation, weights are set for the thermal storage chambers based on their different heat storage conditions, and the efficiency of the multi-temperature zone heat storage system is comprehensively calculated. This allows for differentiation between different thermal storage chambers based on their temperature conditions, thereby improving the accuracy of the efficiency function.
[0012] In an optional embodiment, the multi-temperature zone heat storage system further includes a generator, multiple fans, multiple water pumps, and a condenser. The heat storage ratio of the heat storage chamber is used as the weight of the performance function of the heat storage chamber to construct an efficiency function of the multi-temperature zone heat storage system, including: Where F is the efficiency function, s is the number of thermal storage chambers, and f s is the performance function of the kth thermal storage chamber, a s is the heat storage ratio of the kth thermal storage chamber, P fdis the output power of the generator, M is the number of wind turbines, P f,k is the power of the kth fan, H is the number of water pumps, P b,k is the power of the kth water pump, P ln is the power of the condenser.
[0013] In this implementation, the efficiency function of the multi-temperature zone heat storage system is comprehensively calculated by combining the generator, multiple fans, multiple water pumps and condensers of the multi-temperature zone heat storage system.
[0014] In an optional embodiment, the constraints of the control parameters include a range constraint of the average temperature of the heat storage chamber, a range constraint of the mass of the heat storage body, and a range constraint of the number of the heat storage bodies.
[0015] In a second aspect, the present invention provides an optimization control device for a multi-temperature zone heat storage system, comprising: a first construction module for constructing a performance function of a heat storage chamber based on the control parameters of a plurality of heat storage bodies and the number of heat storage bodies; a second construction module for constructing an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the plurality of heat storage chambers and the heat storage proportion of each heat storage chamber; a third construction module for setting constraints on control parameters with the goal of maximizing the efficiency function to construct an operation model of the multi-temperature zone heat storage system; and a solution module for optimizing and solving the operation model of the multi-temperature zone heat storage system to obtain the optimal control parameters for each heat storage chamber.
[0016] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to thereby execute the multi-temperature zone heat storage system optimization control method of the first aspect or any corresponding embodiment thereof.
[0017] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the multi-temperature zone heat storage system optimization control method of the first aspect or any corresponding embodiment thereof.
[0018] In a fifth aspect, the present invention provides a computer program product comprising computer instructions for causing a computer to execute the multi-temperature zone heat storage system optimization control method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0020] Figure 1 is a schematic diagram of a multi-temperature zone heat storage system according to an embodiment of the present invention;
[0021] Figure 2 is a schematic diagram of a heat storage chamber according to an embodiment of the present invention;
[0022] Figure 3 is a flow chart of a multi-temperature zone heat storage system optimization control method according to an embodiment of the present invention;
[0023] Figure 4 is a flow chart of another multi-temperature zone heat storage system optimization control method according to an embodiment of the present invention;
[0024] Figure 5 is a structural block diagram of a multi-temperature zone heat storage system optimization control device according to an embodiment of the present invention;
[0025] Figure 6 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0026] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.
[0027] At present, the heat storage systems commonly used in industry are applicable to a single temperature zone. Taking concentrated solar thermal power generation as an example, the concentration temperature can exceed 800℃ under good weather conditions, and the concentration temperature is less than 100℃ under poor weather conditions. The current molten salt heat storage system with a single temperature zone can only effectively store heat between 300℃ and 500℃, resulting in high-grade energy loss and low-grade energy waste. At the same time, for high-temperature heat storage technology, improving the temperature uniformity of the internal heat storage body during its heat storage and heat release processes is crucial for the operation of the heat storage system. Uneven temperatures within the heat storage body will cause the heat storage body to produce greater thermal stress and reduce the amount of heat stored. Based on this, the present application proposes a multi-temperature zone heat storage system optimization control method, which is applied to a multi-temperature zone heat storage system. By constructing the efficiency function of the multi-temperature zone heat storage system, the optimal system operation plan under different waste heat resources and valley power / abandoned power conditions is obtained through iterative solution to improve the storage and utilization efficiency of thermal energy.
[0028] According to an embodiment of the present invention, this application provides a multi-temperature zone heat storage system for storing various heat sources, such as solar thermal energy, industrial waste heat, concentrated solar power, and surplus / off-peak electricity, according to their grade, and for multi-level complementary utilization, such as power generation and heat supply, based on heat user needs. The multi-temperature zone heat storage system includes multiple thermal storage chambers.
[0029] Each heat storage chamber includes multiple heat storage bodies. In one possible implementation, the heat storage chamber includes multiple heat storage chambers with different temperatures. Exemplarily, the heat storage chambers include a high-temperature heat storage chamber, a medium-temperature heat storage chamber, and a low-temperature heat storage chamber.
[0030] The present application also provides another multi-temperature zone heat storage system, which includes multiple heat storage chambers, generators, multiple fans, multiple water pumps and condensers.
[0031] In a specific implementation, see Figure 1 , Figure 1 Figure 2 is a schematic diagram of a multi-temperature zone heat storage system according to an embodiment of the present invention. The multi-temperature zone heat storage system includes a low-temperature heat storage chamber 1, a medium-temperature heat storage chamber 2, a high-temperature heat storage chamber 3, a high-temperature fan 4, a high-temperature valve 5, a low-temperature heat exchanger 6, a medium-temperature heat exchanger 7, a high-temperature heat exchanger 8, a high-pressure water pump 9, a turbine 10, a generator 11, and a condenser 12.
[0032] The low-temperature heat storage chamber 1 is connected to the corresponding low-temperature heat exchanger 6, the medium-temperature heat storage chamber 2 is connected to the corresponding medium-temperature heat exchanger 7, and the high-temperature heat storage chamber 3 is connected to the corresponding high-temperature fan 4 and high-temperature heat exchanger 8. The inlet of the low-temperature heat storage exchanger 6 is connected to the high-pressure water pump 9, and the outlet of the low-temperature heat storage exchanger 6 is connected to the medium-temperature heat exchanger 7 and the heating system. The inlet of the high-temperature heat exchanger 8 is connected to the medium-temperature heat exchanger 7, and the outlet is connected to the turbine 10 and the low-temperature heat exchanger 6. A high-temperature valve is installed between the high-temperature heat exchanger 8 and the low-temperature heat exchanger 6.
[0033] The low-temperature heat storage chamber 1 stores heat such as solar thermal energy or industrial waste heat when the light intensity is weak, the medium-temperature heat storage chamber 2 stores heat such as concentrated solar energy, and the high-temperature heat storage chamber 3 stores heat such as surplus electricity from renewable energy or off-peak electricity heating.
[0034] The heat stored in the medium-temperature regenerator 2 and the high-temperature regenerator 3 is used to generate high-temperature steam. That is, the high-temperature heat exchanger 8 outputs high-temperature, high-pressure steam, which drives a turbine 10 and a motor 11 for generating electricity. The heat stored in the low-temperature regenerator 1 is used to provide heat to industrial users and residents in the heating system. As will be appreciated, when the demand for heat exceeds the amount of heat stored in the low-temperature regenerator, the heat stored in the low-temperature regenerator 1, the medium-temperature regenerator 2, and the high-temperature regenerator 3 are used simultaneously to provide heat to the heating system.
[0035] The heat storage material of the heat storage chamber includes but is not limited to magnesia bricks, concrete, ceramics, etc., and the flowing medium in the heat exchanger is a heat exchange medium such as water.
[0036] In one possible implementation, the heat storage chamber is a fully enclosed heat storage chamber, and the gas inside does not leave the heat storage chamber, thereby reducing heat dissipation caused by gas flowing out of the heat storage chamber.
[0037] In one possible implementation, the regenerators are configured with fixed temperature ranges. For example, the high-temperature regenerator 3 has a storage temperature greater than 500°C, the medium-temperature regenerator 4 has a storage temperature between 200°C and 500°C, and the low-temperature regenerator 5 has a storage temperature between 50°C and 200°C.
[0038] See also Figure 2 , Figure 2 Schematic diagram of a heat storage chamber according to an embodiment of the present invention. The heat storage chamber includes multiple variable frequency motors 13, a temperature controller 14, multiple high-temperature fan blades 15, multiple gas guide plates 16 and multiple heat storage bodies 17.
[0039] The heat storage chamber is provided with a plurality of high-temperature blades 15, a plurality of gas guide plates 16 and a plurality of heat storage bodies 17. The gas guide plates 16 divide the heat storage chamber into a plurality of areas, and a heat storage body 17 is provided in each area to perform online detection of the temperature of the heat storage body 17 in each area. Each heat storage body 17 is provided with a corresponding high-temperature blade 15. The high-temperature blades 15 and the gas guide plates 16 are used to control the heat storage body 17 in each area to exchange heat with the heat exchanger on one side of the heat storage chamber. For example, Figure 2 As shown, the interior of the heat storage chamber is divided into four areas by setting three gas guide plates 16, and four heat storage bodies 17 and corresponding four high-temperature fan blades 15 are provided.
[0040] In a possible implementation, a certain number of gas channels are provided in the thermal storage body.
[0041] The regenerator is equipped with multiple variable-frequency motors 13 and a temperature controller 14. The temperature controller 14 is connected to the multiple variable-frequency motors 13. Each variable-frequency motor 13 is connected to a corresponding high-temperature fan blade 15 inside the regenerator. The number of variable-frequency motors 13 and high-temperature fan blades 15 is the same. The variable-frequency motors 13 drive the high-temperature fan blades 15 to circulate the high-temperature gas inside the regenerator. The temperature controller 14 adjusts the speed of the high-temperature fan blades 15 to change the heat storage and release intensity of the heat storage body 17 in different areas of the regenerator, thereby improving the temperature uniformity of the entire regenerator.
[0042] In one possible implementation, the heat exchanger is located within the regenerator, transferring heat directly to the gas within the regenerator via convection. Specifically, the heat exchanger piping is primarily arranged on the side of the regenerator, with gas deflectors 16 used to allow gas to flow laterally across the heat exchanger, enhancing the heat exchange intensity between the gas and the heat exchanger.
[0043] In a possible implementation, the heat exchanger is preferably a serpentine tube type, but a coil type heat exchanger may also be used.
[0044] According to an embodiment of the present invention, an embodiment of a method for optimizing and controlling a multi-temperature zone heat storage system is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0045] In this embodiment, a multi-temperature zone heat storage system optimization control method is provided, which can be used for the multi-temperature zone heat storage system mentioned above. Figure 3 is a flow chart of a multi-temperature zone heat storage system optimization control method according to an embodiment of the present invention. It should be noted that if there are substantially the same results, this embodiment does not use Figure 1 The process sequence shown is limited. Figure 3 As shown, the process includes the following steps:
[0046] Step S301 : constructing a performance function of the thermal storage chamber based on control parameters of the plurality of thermal storage bodies and the number of thermal storage bodies.
[0047] Among them, the control parameters of the heat storage body include the heat storage body mass and the heat storage body temperature.
[0048] By comprehensively considering the impact of temperature differences between multiple regenerators on the heat storage in the regenerator and the impact of the overall heat storage capacity of the regenerator on the regenerator, a performance function for the regenerator's operation is constructed. This performance function characterizes the regenerator's operating status. By varying the number of regenerators within the regenerator, the mass of each regenerator, and the temperature of each regenerator, the regenerator's operating status can be modified.
[0049] In one implementation, the heat storage chamber includes a high-temperature heat storage chamber, a medium-temperature heat storage chamber, and a low-temperature heat storage chamber, and performance functions corresponding to the high-temperature heat storage chamber, the medium-temperature heat storage chamber, and the low-temperature heat storage chamber are constructed respectively.
[0050] Step S302: Constructing an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the multiple heat storage chambers and the heat storage ratio of each heat storage chamber.
[0051] The multi-temperature zone heat storage system includes multiple heat storage chambers. Each heat storage chamber has a different impact on the multi-temperature zone heat storage system. By considering the degree of influence of different heat storage chambers on the multi-temperature zone heat storage system, the efficiency function of the multi-temperature zone heat storage system is comprehensively calculated.
[0052] In one implementation, the heat storage ratio of a thermal storage chamber is used as a proxy for the thermal storage chamber's impact on the multi-temperature-zone thermal storage system. Understandably, a large thermal storage ratio in a multi-temperature-zone thermal storage system significantly impacts the system's overall thermal storage capacity.
[0053] In one implementation, the heat storage chamber includes a high-temperature heat storage chamber, a medium-temperature heat storage chamber, and a low-temperature heat storage chamber. The heat storage ratio of the high-temperature heat storage chamber is greater than that of the medium-temperature heat storage chamber, and the heat storage ratio of the medium-temperature heat storage chamber is greater than that of the low-temperature heat storage chamber.
[0054] Step S303 : With the maximum efficiency function as the goal, constraints on control parameters are set to construct an operation model of the multi-temperature zone heat storage system.
[0055] Taking the optimal comprehensive performance of the heat storage chamber as the lower objective function and the optimal operating efficiency of the multi-temperature zone heat storage system as the upper objective function, a double-layer multi-temperature zone heat storage system operation model is established according to the constraints of the control parameters of the heat production, transmission, storage and utilization processes.
[0056] Step S304: Optimize and solve the multi-temperature zone heat storage system operation model to obtain the optimal control parameters of each heat storage chamber.
[0057] The operation model of the multi-temperature zone heat storage system is optimized and solved using the optimization solution method to obtain the optimal values of the control parameters, that is, the number of heat storage bodies in each heat storage chamber under the condition of optimal operating efficiency of the multi-temperature zone heat storage system, the heat storage body mass and the heat storage body temperature of each heat storage body.
[0058] In one implementation, a genetic algorithm is used to continuously adjust the control parameters of the thermal storage chamber, and the objective function is calculated to determine the optimal control parameters corresponding to the maximum objective function.
[0059] In another implementation, the multi-temperature zone heat storage system operation model is converted into a quadratic programming form, and the quadratic programming problem is solved to determine the optimal control parameters corresponding to the maximum objective function.
[0060] In another implementation, a programming language is used to model the operation model of the multi-temperature zone heat storage system, and a solver is used to solve the model to determine the optimal control parameters corresponding to the maximum objective function.
[0061] Other methods that can solve the problem can be used and are not specifically listed or limited here.
[0062] The multi-temperature zone heat storage system optimization control method provided in this embodiment considers the impact of multiple heat storage bodies within the heat storage chamber on the performance of the heat storage body and the impact of multiple heat storage chambers on the efficient operation of the multi-temperature zone heat storage system. An efficiency function is constructed as the objective function, and multiple control parameters that affect the objective function are constrained. This method can integrate the parameters of multiple heat storage devices within the multi-temperature zone heat storage system, improve the accuracy of the model, and solve for the optimal control parameters, which can improve the storage and utilization efficiency of thermal energy.
[0063] In this embodiment, another multi-temperature zone heat storage system optimization control method is provided, which can be used for the multi-temperature zone heat storage system mentioned above. Figure 4 is a flow chart of another multi-temperature zone heat storage system optimization control method according to an embodiment of the present invention. It should be noted that if there are substantially the same results, this embodiment does not use Figure 4 The process sequence shown is limited. Figure 4 As shown, the process includes the following steps:
[0064] Step S401 : constructing a performance function of the thermal storage chamber based on control parameters of the plurality of thermal storage bodies and the number of thermal storage bodies.
[0065] Among them, the control parameters of the heat storage body include the heat storage body mass and the heat storage body temperature.
[0066] In one implementation, step S401 includes:
[0067] Step S4011: constructing a thermal storage chamber temperature variance function based on the thermal storage body temperatures of multiple thermal storage bodies in the thermal storage chamber.
[0068] Specifically, the thermal storage chamber temperature variance function is:
[0069]
[0070] Where Δt is the temperature variance function of the thermal storage chamber, N is the number of thermal storage bodies in the thermal storage chamber, and t i is the temperature of the i-th heat storage body in the heat storage chamber, is the average temperature of multiple heat storage bodies in the heat storage body.
[0071] Step S4012: constructing a heat storage function of the heat storage chamber based on the heat storage body temperatures and heat storage body masses of the multiple heat storage bodies in the heat storage chamber.
[0072] Specifically, the heat storage function of the thermal storage chamber is:
[0073]
[0074] Where C is the heat storage function of the heat storage chamber, m i is the mass of the i-th heat storage body in the heat storage chamber, C p,i is the specific heat capacity of the i-th heat storage body in the heat storage chamber.
[0075] Step S4013: combining the thermal storage chamber temperature variance function and the thermal storage chamber heat storage function to obtain the thermal storage chamber performance function.
[0076] Specifically, the performance function of the thermal storage chamber is:
[0077] f=Δt×C
[0078] Where f is the heat storage function of the thermal storage chamber.
[0079] In another implementation, the performance function is updated using the heat transfer coefficient between the heat storage chamber and the heat transfer medium.
[0080] Specifically, the heat exchange coefficient between the heat storage chamber and the heat exchange medium is calculated as:
[0081]
[0082] Where h is the heat transfer coefficient between the heat storage body and the heat transfer medium, m g is the mass of heat transfer medium, C p,g is the temperature difference of the heat transfer medium, t in is the temperature of the heat exchange medium at the entrance of the heat storage chamber, t out is the temperature of the heat exchange medium at the outlet of the heat storage chamber, A is the heat exchange area of the heat exchanger inside the heat storage chamber, t g is the temperature of the air in the thermal storage room.
[0083] The performance function of the regenerator is updated as follows:
[0084] f=Δt×C×h
[0085] Step S402: Constructing an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the multiple heat storage chambers and the heat storage ratio of each heat storage chamber.
[0086] The heat storage ratio of the heat storage chamber is used as the weight of the performance function of the heat storage chamber to construct the efficiency function of the multi-temperature zone heat storage system. The higher the temperature of the heat storage chamber, the greater the heat storage ratio of the heat storage chamber.
[0087] In one implementation, the efficiency function is:
[0088]
[0089] Where F is the efficiency function, s is the number of thermal storage chambers, and f s is the performance function of the kth thermal storage chamber, a s is the heat storage ratio of the kth thermal storage chamber, P fd is the output power of the generator, M is the number of wind turbines, P f,k is the power of the kth fan, H is the number of water pumps, P b,k is the power of the kth water pump, P ln is the power of the condenser.
[0090] In a specific implementation, the heat storage chamber includes a low-temperature heat storage chamber, a medium-temperature heat storage chamber, and a high-temperature heat storage chamber. The weight of the low-temperature heat storage chamber is 1, the weight of the medium-temperature heat storage chamber is 1.5, and the weight of the high-temperature heat storage chamber is 2. The efficiency function is:
[0091]
[0092] Where f1 is the efficiency function of the low-temperature heat storage chamber, f2 is the efficiency function of the medium-temperature heat storage chamber, and f3 is the efficiency function of the high and low-temperature heat storage chamber.
[0093] Step S403 : Taking the maximum efficiency function as the goal, setting the constraints of the control parameters, and constructing the multi-temperature zone heat storage system operation model.
[0094] Specifically, the above step S403 includes:
[0095] Step S4031: Set the constraints of the control parameters.
[0096] Among them, the constraints of the control parameters include the average temperature range constraint of the heat storage chamber, the mass range constraint of the heat storage body, and the number range constraint of the heat storage body.
[0097] Specifically, a thermal storage chamber average temperature range constraint is established based on the upper and lower limits of the thermal storage chamber average temperature; a thermal storage body mass range constraint is established based on the upper and lower limits of the thermal storage body mass; and a thermal storage chamber quantity range constraint is established based on the upper and lower limits of the thermal storage body quantity.
[0098] For multiple thermal storage chambers, the lower limit of the average temperature of the thermal storage chambers with higher temperatures is greater than the upper limit of the average temperature of the thermal storage chambers with lower temperatures. Specifically, when the thermal storage chambers include low-temperature thermal storage chambers, medium-temperature thermal storage chambers, and high-temperature thermal storage chambers, the high-temperature thermal storage chambers have no upper limit of the average temperature, the lower limit of the average temperature of the high-temperature thermal storage chambers is greater than the upper limit of the average temperature of the medium-temperature thermal storage chambers, the lower limit of the average temperature of the medium-temperature thermal storage chambers is greater than the upper limit of the average temperature of the low-temperature thermal storage chambers, and the lower limit of the average temperature of the low-temperature thermal storage chambers is greater than 0.
[0099] For example, the average temperature range of the thermal storage chamber is constrained as follows:
[0100]
[0101] The mass range of the thermal storage body is constrained as follows:
[0102] 1000kg / m 2 ≤m i ≤3000kg / m 2
[0103] The number of thermal storage bodies is constrained as follows:
[0104] 1≤N≤7
[0105] Step S4032: construct a multi-temperature zone heat storage system operation model.
[0106] Combining the efficiency function and multiple constraints, the operation model of the multi-temperature zone heat storage system is obtained as follows:
[0107]
[0108] Where, t k1 is the lower limit of the average temperature of the kth thermal storage chamber, t k2 is the upper limit of the average temperature of the kth thermal storage chamber, m i1 is the lower limit of the mass of the i-th heat storage body in the heat storage room, m i2 is the upper limit of the heat storage body mass of the i-th heat storage body in the heat storage room, N1 is the lower limit of the number of heat storage bodies in the heat storage room, and N2 is the upper limit of the number of heat storage bodies in the heat storage room.
[0109] Step S404: Optimize and solve the multi-temperature zone heat storage system operation model to obtain the optimal control parameters of each heat storage chamber.
[0110] The optimization solution method is used to optimize the operation model of the multi-temperature zone heat storage system and obtain the optimal values of the control parameters.
[0111] In one implementation, the optimal control parameters corresponding to the multi-temperature zone heat storage system operation model are solved by using an algorithm of control variables and cyclic iterative calculations.
[0112] Specifically, the temperature and capacity information of the waste heat resource are input, valley power / abandoned power is used as the input condition of the high-temperature heat source, and the number of heat storage bodies in each heat storage chamber of the multi-temperature zone heat storage system operation model, the heat storage body mass of each heat storage body, and the initial value of the heat storage body temperature are set to the lowest value of the model system. The number of iterations is set, and the first variable is increased by 1% in sequence. After each increase, the value of the double-layer objective function is solved; after the value of the previous variable is increased to the highest value, the next two variables are increased by 1% in sequence, and the above steps are repeated after each increase; the above steps are repeated for the remaining variables of the objective function until the last variable is increased to the highest value; all the objective function values in the above steps are compared, and the variable values corresponding to the highest value of the objective function are selected as the final optimization solution to achieve the optimal overall efficiency of the system.
[0113] The multi-temperature zone heat storage system provided in this embodiment can store waste heat resources of different temperatures, such as solar thermal energy and industrial waste heat, and deliver the corresponding heat to target users based on their heat needs, thereby improving waste heat utilization efficiency. The multi-temperature zone heat storage system optimization and control method provided in this embodiment establishes a two-layer multi-objective optimization model, comprehensively considering parameters such as the temperature uniformity of the heat storage device, the amount of heat stored, and system performance, to improve the operating efficiency of the heat storage system.
[0114] This embodiment also provides a multi-temperature zone heat storage system optimization control device, which is used to implement the above-mentioned embodiments and preferred embodiments. Details already described will not be repeated here. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.
[0115] This embodiment provides a multi-temperature zone heat storage system optimization control device. Figure 5 is a structural block diagram of a multi-temperature zone heat storage system optimization control device according to an embodiment of the present invention. Figure 5 As shown, the multi-temperature zone heat storage system optimization control device includes:
[0116] The first constructing module 501 is used to construct a performance function of the thermal storage chamber based on the control parameters of the plurality of thermal storage bodies and the number of thermal storage bodies.
[0117] The second construction module 502 is used to construct an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the multiple heat storage chambers and the heat storage ratio of each heat storage chamber.
[0118] The third construction module 503 is used to set the constraints of the control parameters and construct the multi-temperature zone heat storage system operation model with the goal of maximizing the efficiency function.
[0119] The solution module 504 is used to optimize and solve the multi-temperature zone heat storage system operation model to obtain the optimal control parameters of each heat storage chamber.
[0120] In some optional implementations, the first building block 501 includes:
[0121] The first constructing unit is configured to construct a thermal storage chamber temperature variance function based on the thermal storage body temperatures of a plurality of thermal storage bodies in the thermal storage chamber.
[0122] The second constructing unit is used to construct a heat storage function of the heat storage chamber based on the heat storage body temperature and the heat storage body mass of the multiple heat storage bodies in the heat storage chamber.
[0123] The third construction unit is used to combine the thermal storage chamber temperature variance function and the thermal storage chamber heat storage function to obtain the thermal storage chamber performance function.
[0124] In some optional embodiments, the first building block includes:
[0125] The first construction subunit is used to construct the thermal storage chamber temperature variance function: Where Δt is the temperature variance function of the thermal storage chamber, N is the number of thermal storage bodies in the thermal storage chamber, and t i is the temperature of the i-th heat storage body in the heat storage chamber, is the average temperature of multiple heat storage bodies in the heat storage body.
[0126] The second construction subunit is used to construct the heat storage function of the heat storage chamber: Where c is the heat storage function of the thermal storage chamber, m i is the mass of the i-th heat storage body in the heat storage chamber, C p,i is the specific heat capacity of the i-th heat storage body in the heat storage chamber.
[0127] In some optional implementations, the second building block 502 includes:
[0128] The fourth construction unit is used to use the heat storage ratio of the heat storage chamber as the weight of the performance function of the heat storage chamber to construct an efficiency function of the multi-temperature zone heat storage system. The higher the temperature of the heat storage chamber, the greater the heat storage ratio of the heat storage chamber.
[0129] In some optional embodiments, the fourth building block includes:
[0130] The fourth construction subunit is used to construct the efficiency function of the multi-temperature zone heat storage system: Where F is the efficiency function, s is the number of thermal storage chambers, and f s is the performance function of the kth thermal storage chamber, a s is the heat storage ratio of the kth thermal storage chamber, P fd is the output power of the generator, M is the number of wind turbines, Pf,k is the power of the kth fan, H is the number of water pumps, P b,k is the power of the kth water pump, P ln is the power of the condenser.
[0131] In some optional implementations, the third building block 503 includes:
[0132] The setting module is used to set the average temperature range constraint of the thermal storage chamber, the mass range constraint of the thermal storage body, and the number range constraint of the thermal storage body.
[0133] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.
[0134] The multi-temperature zone heat storage system optimization control device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.
[0135] The embodiment of the present invention also provides a computer device having the above Figure 5 The multi-temperature zone heat storage system optimization control device shown.
[0136] See also Figure 6 , Figure 6 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of a GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.
[0137] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.
[0138] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.
[0139] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0140] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.
[0141] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 6 The bus connection is taken as an example.
[0142] The input device 30 can receive input digital or character information and generate key signal input related to user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor). The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display, and a plasma display. In some optional embodiments, the display device can be a touch screen.
[0143] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.
[0144] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.
[0145] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.
Claims
1. A multi-temperature zone heat storage system optimization control method, characterized in that: Applied to a multi-temperature zone heat storage system, the multi-temperature zone heat storage system includes multiple heat storage chambers, each heat storage chamber includes multiple heat storage bodies, and the method includes: constructing a performance function of the thermal storage chamber based on a plurality of control parameters of the thermal storage bodies and the number of the thermal storage bodies; Constructing an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the plurality of heat storage chambers and the heat storage ratio of each heat storage chamber; Taking the maximum efficiency function as the goal, setting the constraint conditions of the control parameters and constructing a multi-temperature zone heat storage system operation model; The multi-temperature zone heat storage system operation model is optimized and solved to obtain the optimal control parameters of each heat storage chamber.
2. The multi-temperature zone heat storage system optimization control method according to claim 1, characterized in that: The control parameters of the thermal storage body include the mass and temperature of the thermal storage body. The performance function of the thermal storage chamber is constructed based on the control parameters of the plurality of thermal storage bodies and the number of the thermal storage bodies, including: constructing a thermal storage chamber temperature variance function based on the thermal storage body temperatures of the plurality of thermal storage bodies in the thermal storage chamber; Constructing a heat storage chamber heat storage function based on the heat storage body temperatures and the heat storage body masses of the plurality of heat storage bodies in the heat storage chamber; The performance function of the thermal storage chamber is obtained by combining the thermal storage chamber temperature variance function with the thermal storage chamber heat storage function.
3. The multi-temperature zone heat storage system optimization control method according to claim 2, characterized in that: The regenerator temperature variance function is: Where Δt is the temperature variance function of the thermal storage chamber, N is the number of thermal storage bodies in the thermal storage chamber, t i is the heat storage body temperature of the i-th heat storage body in the heat storage chamber, is the average temperature of multiple heat storage bodies in the heat storage body; The heat storage function of the heat storage chamber is: Where c is the heat storage function of the heat storage chamber, m i is the mass of the heat storage body of the i-th heat storage body in the heat storage chamber, C p,i is the specific heat capacity of the i-th heat storage body in the heat storage chamber.
4. The multi-temperature zone heat storage system optimization control method according to any one of claims 1 to 3, characterized in that: The multi-temperature zone heat storage system includes a plurality of heat storage chambers of different temperatures. The efficiency function of the multi-temperature zone heat storage system is constructed by combining the performance functions of the plurality of heat storage chambers and the heat storage ratio of each heat storage chamber, including: The heat storage ratio of the heat storage chamber is used as the weight of the performance function of the heat storage chamber to construct the efficiency function of the multi-temperature zone heat storage system. The higher the temperature of the heat storage chamber, the greater the heat storage ratio of the heat storage chamber.
5. The multi-temperature zone heat storage system optimization control method according to claim 4, characterized in that: The multi-temperature zone heat storage system further includes a generator, multiple fans, multiple water pumps, and a condenser. The heat storage ratio of the heat storage chamber is used as the weight of the performance function of the heat storage chamber to construct the efficiency function of the multi-temperature zone heat storage system, including: Where, F is the efficiency function, s is the number of the regenerators, and f s is the performance function of the kth thermal storage chamber, a s is the heat storage ratio of the kth heat storage chamber, P fd is the output power of the generator, M is the number of the wind turbines, P f,k is the power of the kth fan, H is the number of water pumps, P b,k is the power of the kth water pump, P ln is the power of the condenser.
6. The multi-temperature zone heat storage system optimization control method according to claim 2, characterized in that: The control parameter constraints include the average temperature range constraint of the heat storage chamber, the mass range constraint of the heat storage body, and the quantity range constraint of the heat storage body.
7. A multi-temperature zone heat storage system optimization control device, characterized in that: The device comprises: A first building module is configured to build a performance function of the thermal storage chamber based on control parameters of a plurality of thermal storage bodies and the number of the thermal storage bodies; A second construction module is configured to construct an efficiency function of the multi-temperature zone heat storage system by combining the performance functions of the plurality of heat storage chambers and the heat storage ratio of each of the heat storage chambers; A third construction module is used to set the constraint conditions of the control parameters with the goal of maximizing the efficiency function, and to construct an operation model of the multi-temperature zone heat storage system; A solution module is used to optimize and solve the multi-temperature zone heat storage system operation model to obtain the optimal control parameters of each heat storage chamber.
8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the multi-temperature zone heat storage system optimization control method according to any one of claims 1 to 6 by executing the computer instructions.
9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the multi-temperature zone heat storage system optimization control method according to any one of claims 1 to 6.
10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the multi-temperature zone heat storage system optimization control method according to any one of claims 1 to 6.