Photothermal power station operation optimization method and device considering flow constraint and energy efficiency change

Abstract

The invention provides a photo-thermal power station operation optimization method and device considering flow constraint and energy efficiency change, and relates to the technical field of solar power generation, and the method comprises the steps: constructing a physical model of each sub-link; based on the physical model, a simulation model is constructed under the initial generation power and the heat release fused salt flow curve in combination with preset constraint conditions, the simulation model is used for executing simulation calculation to obtain an updated fused salt flow curve and an updated generation power curve, and the preset constraint conditions comprise cold and hot tank fused salt flow and evaporator return salt temperature limitation; constructing a linear optimization model by taking power generation income maximization as a target, wherein the linear optimization model is used for solving to obtain a target fused salt flow curve and a target power generation power curve; alternately executing simulation calculation and optimization model solving operation in an iteration mode until the target fused salt flow and the target generation power curve converge; the curve is used for the power generation system to drive the steam turbine and the molten salt pump to execute operation optimization operation. The operation energy efficiency of the photo-thermal power station is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of solar power generation, and in particular, to an operation optimization method and device for a solar thermal power station considering process constraints and energy efficiency changes. Background Art

[0002] A solar thermal power station integrates heat collection and storage and power generation, and is a scarce power source with regulating ability in renewable energy. However, in the peaking scenario, the solar thermal power generation unit will frequently operate under wide-range variable working conditions, which has an important impact on the system operation energy efficiency. In order to balance the peaking flexibility and operation energy efficiency of the solar thermal power generation unit, it is usually necessary to establish an overall analysis model that accurately reflects the complex process constraints and energy efficiency changes of the solar thermal power generation system under wide-range variable working conditions.

[0003] However, in order to avoid solving non-convex and non-linear optimization problems, the existing optimization scheduling methods usually only consider the energy balance of the solar thermal power generation system and adopt the strategy of "sacrificing model accuracy for solving speed" to make the system optimization problem easy to solve. However, when the solar thermal power station performs large-scale and variable working condition peaking operation, the performance of each component will deviate greatly from the design working condition, making it difficult to ensure the accuracy of the operation optimization result, and even possibly affecting the safety of the unit operation, thus hindering the improvement of the unit energy efficiency in the peaking scenario.

[0004] Therefore, it is urgent to construct a system operation model for a solar thermal power station considering the complex process constraints and energy efficiency changes of solar thermal power generation and efficiently solve the model to improve the operation energy efficiency of the solar thermal power station. Summary of the Invention

[0005] The present invention provides an operation optimization method and device for a solar thermal power station considering process constraints and energy efficiency changes, which realizes improving the model calculation efficiency while enhancing the modeling accuracy, and further improves the operation energy efficiency of the solar thermal power station.

[0006] In a first aspect, the present invention provides an operation optimization method for a solar thermal power station considering process constraints and energy efficiency changes, and the method includes the following steps: Based on the operation principle of a tower-type solar thermal power generation system, construct a physical model for each sub-link in the tower-type solar thermal power generation system; each sub-link includes a concentrating heat collection link, a heat storage link, and a power generation link; Based on the physical models of the respective sub-links, construct a simulation model under an initial power generation curve and an initial molten salt flow curve for heat release in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the return salt temperature limit of the evaporator; Combined with the input daily solar irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operation constraints include molten salt mass constraints and steam turbine ramp rate constraints; The simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0007] According to a solar thermal power plant operation optimization method considering process constraints and energy efficiency changes provided by the present invention, the simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge, including: Based on the initial power generation curve and the initial exothermic molten salt flow curve, the simulation calculation operation is performed through the simulation model to generate the updated molten salt flow curve and the updated power generation curve; The updated molten salt flow curve and the updated power generation curve are input into the linear optimization model to perform the linear optimization model solving operation, and the target molten salt flow curve and the target power generation curve are obtained; The simulation calculation operation and the linear optimization model solving operation are alternately executed until the target molten salt flow curve and the target power generation curve meet the convergence condition; wherein, the target molten salt flow curve and the target power generation curve at the time of reaching the curve convergence condition are used to characterize the optimal scheduling results of the exothermic molten salt flow and the power generation.

[0008] According to a solar thermal power plant operation optimization method considering process constraints and energy efficiency changes provided by the present invention, based on the operation principle of the tower-type solar thermal power generation system, physical models of each sub-link are constructed, including: Based on the operation principle of the concentrating and heat collection link and the law of conservation of energy, a photothermal energy conversion equation set describing the concentrating and heat collection link of the tower-type solar thermal power plant is constructed; Based on the molten salt mixing effect, the law of conservation of mass, and the law of conservation of energy, a molten salt temperature and mass equation set in the hot tank and a molten salt temperature and mass equation set in the cold tank in the energy storage link of the tower-type solar thermal power plant are constructed; Based on the operation principle of the power generation link and the law of conservation of energy, considering the dynamic characteristics of the thermoelectric conversion efficiency, a thermoelectric energy conversion equation set describing the power generation link of the tower-type solar thermal power plant is constructed; the dynamic characteristics of the thermoelectric conversion efficiency are used to characterize the dynamic changes of the thermoelectric conversion efficiency with the molten salt temperature, the molten salt flow rate, and the power generation.

[0009] A method for optimizing the operation of a solar thermal power plant considering process constraints and energy efficiency changes provided by the present invention, wherein the molten salt flow rate limit of the hot and cold tanks includes: When the molten salt flow rate flowing into the absorber is greater than the minimum flow rate of the absorber, the molten salt enters the hot tank; If the molten salt flow rate flowing into the absorber is less than the minimum flow rate of the absorber, the molten salt outlet temperature at the minimum absorber outlet flow rate is taken; If the molten salt outlet temperature is greater than 420 degrees Celsius, the molten salt enters the hot tank for mixing. If the molten salt outlet temperature is less than 420 degrees Celsius, the molten salt returns to the cold tank; The return salt temperature limit of the evaporator includes: If the return salt temperature of the molten salt after heat release by the steam generator is higher than 260 degrees Celsius, the molten salt is sent to the low-temperature molten salt cold tank; If the return salt temperature of the molten salt after heat release by the steam generator is lower than 260 degrees Celsius, calculate the outlet flow rate of the hot tank at 260 degrees Celsius, and operate to the cold tank at the outlet flow rate, and then recycle to the absorber at the top of the tower for heating.

[0010] A method for optimizing the operation of a solar thermal power plant considering process constraints and energy efficiency changes provided by the present invention, wherein based on the physical models of the respective sub-links, a simulation model is constructed by combining preset constraint conditions under the initial power generation curve and the initial molten salt flow rate curve for heat release, including: Construct the simulation model based on the molten salt flow rate limit of the hot and cold tanks, the return salt temperature limit of the evaporator, and the physical models of the respective sub-links.

[0011] A method for optimizing the operation of a solar thermal power plant considering process constraints and energy efficiency changes provided by the present invention, wherein a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue by combining the input daily irradiance curve, including: Based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of storing and releasing molten salt in the hot and cold tanks in the heat storage link, the mass conservation equation of the molten salt in the hot and cold tanks in the heat storage link is obtained; Based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the process of the molten salt entering the steam generator from the high-temperature heat storage tank for heat exchange, the energy conservation equation is obtained; Based on the operation requirements of the steam turbine and the high-temperature heat storage tank, the unit start-stop and start-up duration, ramp rate, power generation capacity, and heat storage tank capacity, the operation constraints are obtained; Based on the mass conservation equation, energy conservation equation, operation constraints, and objective function of the molten salt in the hot and cold tanks in the heat storage link, the linear optimization model is determined.

[0012] Second aspect, the present invention also provides an operation optimization device for a solar thermal power station considering process constraints and energy efficiency changes, and the device includes the following modules: A dynamic modeling module, configured to construct physical models of each sub-link in the tower-type solar thermal power generation system based on the operation principle of the tower-type solar thermal power generation system; each sub-link includes a concentrating and heat collection link, a heat storage link, and a power generation link; A constraint integration and simulation module, configured to construct a simulation model based on the physical models of each sub-link, in combination with preset constraint conditions under an initial power generation curve and an initial molten salt flow curve for heat release; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include molten salt flow rate limits for cold and hot tanks and an evaporator salt return temperature limit; An iterative solution module, configured to construct a linear optimization model including operation constraints with the goal of maximizing power generation revenue in combination with an input daily irradiation curve; the linear optimization model is used to solve for a target molten salt flow curve and a target power generation curve; the operation constraints include molten salt mass constraints and steam turbine ramp rate constraints; The simulation calculation operation and the linear optimization model solution operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used to drive a steam turbine and a molten salt pump in the tower-type solar thermal power generation system to perform operation optimization operations.

[0013] Third aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, it implements the operation optimization method for a solar thermal power station considering process constraints and energy efficiency changes as described in any one of the above.

[0014] Fourth aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the operation optimization method for a solar thermal power station considering process constraints and energy efficiency changes as described in any one of the above.

[0015] Fifth aspect, the present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the operation optimization method for a solar thermal power station considering process constraints and energy efficiency changes as described in any one of the above.

[0016] The operation optimization method and device for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention first construct physical models of each sub-link in the tower-type solar thermal power generation system based on the operation principle of the tower-type solar thermal power generation system, where each sub-link includes a concentrating heat collection link, a heat storage link, and a power generation link; then, based on the physical models of each sub-link, a simulation model is constructed under the initial power generation curve and the initial molten salt flow curve for discharging heat in combination with preset constraint conditions, and the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve, and the preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the return salt temperature limit of the evaporator; further, in combination with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the maximization of power generation benefits as the goal, and the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve, and the operation constraints include the molten salt mass constraint and the turbine ramp rate constraint; furthermore, the simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge, and the target molten salt flow curve and the target power generation curve when the curve converges are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0017] The present invention decouples the overall operation optimization problem of the solar thermal power station into two sub-problems: a linear optimization model of the molten salt flow for discharging heat and the power generation power, and a simulation calculation model of the molten salt flow temperature and efficiency change, and alternately iteratively solves them until the target molten salt flow curve and the target power generation curve converge. After that, the converged target molten salt flow curve and the target power generation curve are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations, which can optimize the molten salt flow and the power generation power with the maximization of the power generation benefits of the power station as the optimization goal under different working conditions. At the same time, the system model proposed by the present invention disassembles the original non-linear optimization problem into a simulation calculation problem containing multiple temperature and flow constraint threshold judgments and a quadratic programming optimization problem, realizing the improvement of the model calculation efficiency while improving the modeling accuracy, and further improving the operation energy efficiency of the solar thermal power station. Brief Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a flow chart of the operation optimization method for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention.

[0020] Figure 2 It is the energy flow diagram of the tower-type solar thermal power generation system provided by the present invention.

[0021] Figure 3 It is the schematic diagram of the model of the high-temperature and low-temperature heat storage tanks provided by the present invention.

[0022] Figure 4 It is the schematic diagram of the structure of the device for constructing the physical model of the solar thermal system provided by the present invention.

[0023] Figure 5 It is the schematic diagram of the process of the simulation calculation of the solar thermal power station provided by the present invention.

[0024] Figure 6 It is the architecture diagram of the optimal scheduling-simulation calculation of the solar thermal power station provided by the present invention.

[0025] Figure 7 It is the schematic diagram of the structure of the device for optimizing the operation of the solar thermal power station considering process constraints and energy efficiency changes provided by the present invention.

[0026] Figure 8 It is the schematic diagram of the structure of the electronic device provided by the present invention. Specific embodiments

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts fall within the scope of protection of the present invention.

[0028] The following combines Figures 1 - 8 to describe the method and device for optimizing the operation of the solar thermal power station considering process constraints and energy efficiency changes of the present invention.

[0029] Figure 1 It is the schematic diagram of the process of the method for optimizing the operation of the solar thermal power station considering process constraints and energy efficiency changes provided by the present invention. As Figure 1 shown, the method includes the following: Step 101: Based on the operating principle of the tower-type solar thermal power generation system, construct the physical models of each sub-link in the tower-type solar thermal power generation system; each sub-link includes a concentrating and heat collection link, a heat storage link, and a power generation link; Specifically, it should be noted that the execution subject of the present invention is an electronic device, which is used to optimize the operation of the solar thermal power station, thereby improving the operating energy efficiency of the solar thermal power station.

[0030] Among them, a solar thermal power generation system is deployed in the solar thermal power station. For example, a typical tower-type solar thermal power generation system Figure 2It is the energy flow diagram of the tower-type solar thermal power generation system provided by the present invention. Each independent sub-link of the solar thermal system includes a concentrating and heat collection link, a heat storage link, and a power generation link. In this embodiment, first, physical models (i.e., equivalent models of each independent component) of the respective independent sub-links included in the solar thermal power generation system are established separately.

[0031] That is, a solar-thermal conversion equation for the concentrating and heat collection link, a hot tank temperature equation, a cold tank temperature equation for the heat storage link, and a power generation equation for the power generation link are established separately. Then, according to the molten salt flow direction, the equivalent models of each independent component are connected to obtain the overall equivalent model of the solar thermal power generation system.

[0032] Step 102: Based on the physical models of each sub-link, a simulation model is constructed under the initial power generation curve and the initial heat-release molten salt flow curve in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include molten salt flow limitations in the hot and cold tanks and the return salt temperature limitation of the evaporator; Specifically, after the physical models of each sub-link are constructed, the equivalent models of each independent link can be connected through the molten salt flow process to construct the overall equivalent model of the solar thermal power generation system, thereby realizing the dynamic modeling of the molten salt.

[0033] After that, based on the overall equivalent model of the solar thermal power generation system, a solar thermal power plant simulation model is constructed under the given initial power generation curve and the heat-release molten salt flow curve.

[0034] Specifically, for example, under the given power generation and heat-release molten salt flow, based on the working logics of each sub-link of the solar thermal power plant and considering the constraint conditions of temperature and flow, a simulation model of the solar thermal power plant is constructed. The constraint conditions in this embodiment are the hot and cold tank process constraints (such as the molten salt return salt temperature threshold and flow limitations).

[0035] The above-constructed solar thermal power plant simulation model is used to perform simulation calculations during the iteration process to obtain an updated molten salt flow curve and an updated power generation curve, and the updated molten salt flow curve and the updated power generation curve are input into the optimization model for solution.

[0036] Among them, the preset constraint conditions include molten salt flow limitations in the hot and cold tanks and the return salt temperature limitation of the evaporator. The preset temperature threshold is determined according to historical experience data. For example, when the molten salt temperature at the outlet of the solar receiver ≥ 420 °C, the molten salt enters the hot tank; otherwise, it returns to the cold tank; when the return salt temperature of the evaporator < 260 °C, the flow is adjusted until the temperature threshold is met.

[0037] Step 103: Combine the input daily irradiance curve and construct a linear optimization model with operating constraints aiming at maximizing power generation benefits; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operating constraints include molten salt mass constraints and steam turbine ramp rate constraints; Specifically, aiming at maximizing power generation benefits, a linear optimization model with molten salt mass constraints and steam turbine ramp rate constraints is established.

[0038] Among them, the operating constraints include molten salt mass constraints and steam turbine ramp rate constraints. For example: Molten salt mass constraints: M cold,min ≤ M cold,t ≤ M cold,max , M hot,min ≤ M hot,t ≤ M hot,max Steam turbine ramp rate constraints: Startup stage: The power rises from 0 to 90% of P max within 10 minutes; Peak shaving stage: The power change per minute ≤ 2%P max .

[0039] The optimization model is a quadratic programming problem. Subsequently, for example, the simplex method or the interior point method can be used for solving. Solving the optimization model can obtain the target molten salt flow curve and the target power generation curve.

[0040] Step 104: Alternately execute the simulation calculation operation and the linear optimization model solving operation in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve when the curves converge are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0041] Specifically, after the construction of the simulation model and the optimization model is completed, further alternately execute the simulation calculation and the solution of the optimization model to obtain the optimal solution, that is, the optimal scheduling result. The specific steps are as follows: Specifically, the simulation calculation operation and the linear optimization model solving operation can be alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge.

[0042] For example, first, the simulation model receives the initial input: the molten salt flow curve at the outlet of the hot tank and the power generation curve; then, the simulation model updates the molten salt flow curve and the power generation curve based on the simulation calculation; Further, the updated molten salt temperature curve and the updated power generation curve are used as boundary conditions to input into the linear optimization model, and the target molten salt temperature curve and the target power generation curve are obtained by solving based on the objective function and the constraint conditions; Further, the determination of the convergence condition is carried out: for example, if the change rate of the molten salt flow rate < 2% and the RMSE of the power generation < 1 MW, the result is output; otherwise, the simulation calculation is returned; The target molten salt flow rate curve and the target power generation curve when the curve converges are sent to the tower-type solar thermal power generation system for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0043] The method provided in this embodiment, first, based on the operating principle of the tower-type solar thermal power generation system, constructs physical models of each sub-link in the tower-type solar thermal power generation system, where each sub-link includes a concentrating heat collection link, a heat storage link, and a power generation link; then, based on the physical models of each sub-link, a simulation model is constructed under the initial power generation curve and the initial exothermic molten salt flow rate curve in combination with preset constraint conditions, and the simulation model is used to perform simulation calculations to obtain an updated molten salt flow rate curve and an updated power generation curve, and the preset constraint conditions include the molten salt flow rate limit of the cold and hot tanks and the return salt temperature limit of the evaporator; further, in combination with the input daily irradiation curve, a linear optimization model including operating constraints is constructed with the maximization of power generation revenue as the goal, and this linear optimization model is used to solve for the target molten salt flow rate curve and the target power generation curve, and the operating constraints include the molten salt mass constraint and the steam turbine ramp rate constraint; furthermore, the simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow rate curve and the target power generation curve converge, and the target molten salt flow rate curve and the target power generation curve when the curve converges are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0044] The present invention decouples the overall operation optimization problem of the solar thermal power station into two sub-problems: a linear optimization model of the exothermic molten salt flow rate and the power generation power and a simulation calculation model of the molten salt flow rate temperature and efficiency change, and alternately iteratively solves them until the target molten salt flow rate curve and the target power generation curve converge. After that, the converged target molten salt flow rate curve and the target power generation curve are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations, which can optimize the molten salt flow rate and the power generation power with the maximization of the power generation revenue of the power station as the optimization goal under different working conditions. At the same time, the system model proposed by the present invention disassembles the original non-linear optimization problem into a simulation calculation problem containing multiple temperature flow constraint threshold judgments and a quadratic programming optimization problem, realizing the improvement of the model calculation efficiency while improving the modeling accuracy, and further improving the operation energy efficiency of the solar thermal power station.

[0045] A method for optimizing the operation of a solar thermal power plant considering process constraints and energy efficiency changes provided by the present invention alternately performs simulation calculation operations and linear optimization model solving operations in an iterative manner until the target molten salt flow rate curve and the target power generation curve converge, including: Based on the initial power generation curve and the initial molten salt flow rate curve for heat release, perform simulation calculation operations through a simulation model to generate an updated molten salt flow rate curve and an updated power generation curve; Input the updated molten salt flow rate curve and the updated power generation curve into a linear optimization model to perform linear optimization model solving operations to obtain a target molten salt flow rate curve and a target power generation curve; Alternately perform simulation calculation operations and linear optimization model solving operations until the target molten salt flow rate curve and the target power generation curve meet the convergence condition; wherein, the target molten salt flow rate curve and the target power generation curve when the curve convergence condition is reached are used to represent the optimal scheduling results of the molten salt flow rate for heat release and the power generation.

[0046] Specifically, in some embodiments, the iterative solution process of step 104 can be implemented through the following steps: First, based on the initial power generation curve and the initial molten salt flow rate curve for heat release, perform simulation calculation operations through a simulation model to generate an updated molten salt flow rate curve and an updated power generation curve, that is, perform the simulation step.

[0047] For example, based on the given molten salt flow rate curve at the outlet of the hot tank and the electric load curve, according to the solar thermal power plant simulation model obtained in step 102, correct the change curves of the molten salt temperature in the hot and cold tanks, the change curve of the molten salt storage flow rate, and the change curve of the thermoelectric conversion efficiency within one day to obtain an updated molten salt flow rate curve and an updated power generation curve.

[0048] Furthermore, input the updated molten salt flow rate curve and the updated power generation curve into a linear optimization model to perform linear optimization model solving operations to obtain a target molten salt flow rate curve and a target power generation curve.

[0049] For example, take the results of correcting the simulation model (the updated molten salt flow rate curve and the updated power generation curve) as new boundary conditions, and re-optimize the molten salt flow rate at the outlet of the hot tank based on the linear optimization model obtained in step 103 to output the target molten salt flow rate curve and the target power generation curve.

[0050] Furthermore, alternately perform the above simulation calculation operations and linear optimization model solving operations until the target molten salt flow rate curve and the target power generation curve meet the convergence condition. That is, through repeated iteration of the simulation model and the optimization model until convergence, finally obtain the target molten salt flow rate change curve and the target power generation curve.

[0051] Among them, the convergence condition is set, for example, as the change rate of molten salt flow < 2% and the RMSE of power generation < 1 MW. If the convergence condition is met, the result is output; otherwise, the simulation model is updated and returned.

[0052] It should be noted that the target molten salt flow curve and the target power generation curve when reaching the curve convergence condition are used to characterize the optimal scheduling results of the exothermic molten salt flow and the power generation. That is, by sending the optimized molten salt flow curve and the power generation curve to the CSP plant control system, the steam turbine and the molten salt pump can be driven to perform optimized operations such as peak shaving. For example, the optimization result is converted into Modbus / TCP protocol instructions and sent to the molten salt pump frequency converter and the steam turbine controller in real time to control the steam turbine and the molten salt pump to perform optimized operations.

[0053] Optionally, the actual operation data can be further monitored. If the deviation exceeds 5%, online re-optimization is triggered.

[0054] In the method provided in this embodiment, first, based on the initial power generation curve and the initial exothermic molten salt flow curve, a simulation calculation operation is performed through the simulation model to generate an updated molten salt flow curve and an updated power generation curve. Then, the updated molten salt flow curve and the updated power generation curve are input into the linear optimization model to perform the linear optimization model solving operation to obtain the target molten salt flow curve and the target power generation curve. Furthermore, the simulation calculation and the linear optimization model solving are alternately executed until the target molten salt flow curve and the target power generation curve meet the convergence condition. Among them, the target molten salt flow curve and the target power generation curve when reaching the curve convergence condition are used to characterize the optimal scheduling results of the exothermic molten salt flow and the power generation.

[0055] The present invention decouples the overall operation optimization problem of the CSP plant into two sub-problems: an optimization model for the exothermic molten salt flow and the power generation and a simulation calculation model for the changes in the molten salt flow, temperature, and efficiency, and performs iterative solutions. It can optimize the exothermic molten salt flow and the power generation with the maximum power generation benefit of the power plant as the optimization goal under different working conditions, while improving the modeling accuracy and taking into account the calculation efficiency in the model application stage.

[0056] According to an operation optimization method for a CSP plant considering process constraints and energy efficiency changes provided by the present invention, based on the operation principle of the tower-type CSP system, physical models of each sub-link are constructed, including: Based on the operation principle of the concentrating and heat-collecting link and the law of conservation of energy, a photothermal energy conversion equation set describing the concentrating and heat-collecting link of the tower-type CSP plant is constructed; Based on the molten salt mixing effect, the law of conservation of mass, and the law of conservation of energy, a molten salt temperature and mass equation set in the hot tank and a molten salt temperature and mass equation set in the cold tank in the energy storage link of the tower-type CSP plant are constructed; Based on the operating principle of the power generation link and the law of conservation of energy, a thermoelectric energy conversion equation set describing the power generation link of the tower-type solar thermal power plant is constructed considering the dynamic characteristics of the thermoelectric conversion efficiency; the dynamic characteristics of the thermoelectric conversion efficiency are used to characterize the dynamic changes of the thermoelectric conversion efficiency with the molten salt temperature, molten salt flow rate, and power generation.

[0057] Specifically, in some embodiments, the specific implementation steps of constructing the physical models of each sub-link in step 101 based on the operating principle of the tower-type solar thermal power generation system include: First, based on the operating principle of the concentrating and heat-collecting link and the law of conservation of energy, a photothermal energy conversion equation set describing the concentrating and heat-collecting link of the tower-type solar thermal power plant is constructed. For example, refer to the following formulas (1)-(4) to construct the photothermal energy conversion equation set of the concentrating and heat-collecting link: (1) (2) (3) (4) Among them, the meanings represented by each parameter variable are as follows: I DNI,t represents the direct solar radiation, which refers to the solar irradiance of the direct radiation on a plane perpendicular to the beam and is measured and obtained by the meteorological acquisition system. Unit: W / m 2 ; S HF represents the total daylighting area of the heliostat field. The heliostat field of the concentrating system consists of multiple heliostats, and the sum of the daylighting areas of all heliostats is the total daylighting area. Unit: m 2 ; η ref represents the reflectivity of the heliostat, and the reflectivity reflects the ability of the heliostat to reflect solar light. This value is related to the production materials and processes of the heliostat and is generally obtained through tests at the time of production and factory shipment; Q recv,out,t represents t the net output heat of the receiver at time Q inc,t represents t the heat reaching the surface of the receiver at time α represents the efficiency of the solar energy receiver; Q loss,t represents t the total heat loss of the receiver heat collection link at time , including radiation loss and convection loss. Unit: J; h R represents the convective heat transfer coefficient of the heat absorber, unit: W / (m 2 ·K); A R represents the light-receiving area of the heat absorber, unit: m 2 ; T W represents the average temperature of the heat absorber wall. For ease of calculation, the average temperature of the molten salt heat absorber wall is approximately equal to the temperature of the working fluid in the tube side, and the temperature of the working fluid in the heat absorber is taken, unit: K; T 0 represents the ambient temperature, unit: K; σ represents the Boltzmann constant, taking 5.67×10 -8 W / (m 2 ·K 4 ); ε R represents the emissivity of the heat absorber, which is related to the characteristics of the heat absorber surface coating; m recv,in,t represents t the flow rate of the heat transfer molten salt flowing into the heat absorber from the cold tank at time, unit: Kg / s; Δ T represents the temperature change of the heat transfer molten salt after being heated by the heat absorber, unit: degree Celsius.

[0058] Furthermore, based on the molten salt mixing effect, the law of conservation of mass, and the law of conservation of energy, a set of equations for the temperature and mass of the molten salt in the hot tank and the cold tank in the thermal energy storage section of the tower-type solar thermal power plant is constructed. For example, referring to the following formulas (5)-(7), the equations for the temperature and mass of the molten salt in the hot tank and the cold tank in the thermal energy storage section are obtained: (5) (6) (7) M hot,left,t represents t the mass of the remaining molten salt in the hot tank after the molten salt enters the steam generator at time, unit: Kg; M hot,t represents t the mass of the molten salt in the hot tank at time, unit: Kg; m hot,out,t represents tThe flow rate of molten salt from the hot tank into the steam evaporator at a certain moment, unit: Kg / s; t —— time, unit: s; T hot,t denote t The temperature of the molten salt in the hot tank at a certain moment, unit: degree Celsius; T recv,out,t denote the temperature of the molten salt flowing into the hot tank after being heated by the heat absorber at a certain moment, unit: degree Celsius; Similarly, the mass equations of the molten salt temperature in the cold tank in the thermal energy storage link of the tower-type solar thermal power plant can be obtained: (8) (9) (10) M cold,left,t denote t The remaining mass of the molten salt in the cold tank after the molten salt enters the heat absorber at a certain moment, unit: Kg; M cold,t denote t The mass of the molten salt in the hot tank at a certain moment, unit: Kg; T cold,t denote t The temperature of the molten salt in the cold tank at a certain moment, unit: degree Celsius; T cold,in,t denote the temperature of the molten salt returning to the cold tank after heat release by the evaporator at a certain moment, unit: degree Celsius.

[0059] Figure 3 is the schematic diagram of the model of the high-temperature and low-temperature thermal energy storage tank provided by the present invention. For the thermal energy storage link of the solar thermal power generation system, equations (5)-(7) are Figure 3 The mathematical description of the temperature and mass change of the molten salt in the hot tank shown, mainly depicting the process of pumping the high-temperature molten salt from the hot salt tank to the steam heat exchanger for heat exchange, and the process of the molten salt absorbing heat and rising to the set ideal temperature and then being transported to the hot tank for storage and mixing; equations (8)-(10) are Figure 3 The mathematical description of the temperature and mass change of the molten salt in the cold tank shown, mainly depicting the process of the molten salt entering the heat absorber from the cold tank, the process of the molten salt returning to the cold tank and mixing when the molten salt after being heated by the heat absorber cannot reach the ideal temperature, and the process of the molten salt on the other side returning to the cold tank for mixing after heat release by the evaporator.

[0060] Furthermore, based on the operating principle of the power generation process and the law of conservation of energy, a thermoelectric energy conversion equation set for describing the power generation process of the tower-type solar thermal power plant is constructed considering the dynamic characteristics of the thermoelectric conversion efficiency; the dynamic characteristics of the thermoelectric conversion efficiency are used to characterize the dynamic changes of the thermoelectric conversion efficiency with the molten salt temperature, molten salt flow rate, and power generation. For example, referring to the following formulas (8)-(10), a thermoelectric energy conversion equation set for describing the power generation process of the tower-type solar thermal power plant is constructed: (11) (12) (13) Among them, the meanings represented by each variable are as follows: Q PB,in,t represents t the heat entering the steam generator at time, unit: J; P t represents t the turbine power generation at time, unit: J; η t represents t the thermoelectric conversion efficiency at time, which is related to the molten salt temperature T hot,t at the outlet of the hot tank, the molten salt flow rate m hot,out,t at the outlet of the hot tank, and the power generation P t ; T hot,out,t represents t the molten salt temperature entering the evaporator from the hot tank at time, unit: degree Celsius; The subscript in , out respectively represent the inlet and outlet of the molten salt, and the subscript t represents time.

[0061] Among them, under off-design conditions, by changing the molten salt temperature T hot,t at the outlet of the hot tank, the molten salt flow rate m hot,out,t at the outlet of the hot tank, and the power generation P t the operating parameters of the turbine are optimized to obtain the functional relationship between the optimal efficiency and the three, which is Equation (12).

[0062] Exemplarily, Figure 4 is the structural schematic diagram of the solar thermal system physical model construction device provided by the present invention, as shown in Figure 4As shown, the device includes a model building unit 410 for each sub-link of the solar thermal power generation system, a model control equation group building unit 420, an energy balance equation group building unit 430, a mass-temperature constraint equation group building unit 440 and a physical model building unit 450, wherein: The CSP system sub-link model construction unit 410 is specifically configured to: construct an equivalent model of each independent link of the CSP system based on the structure of the CSP system; connect the equivalent models of each independent component through the molten salt flow process to construct an overall equivalent model of the CSP system; First, the energy flow model construction unit 410 constructs an equivalent energy flow model of each independent component of the thermal system based on the process structure of the solar thermal system; after obtaining the equivalent energy flow model of each component of the solar thermal system, the equivalent models of each independent component are connected through the molten salt flow process to construct an overall equivalent model of the solar thermal power generation system.

[0063] Each independent link in a CSP system can include a heat collection link, a heat storage link, and a power generation link. The CSP system establishes equivalent models for each of its independent links, and then connects these equivalent models through the molten salt flow process to construct an overall equivalent model of the CSP system.

[0064] The model control equation group establishing unit 420 is specifically used to: establish the model control equation group based on the overall equivalent model and using the process constraints of the solar thermal power generation system; Based on the overall equivalent model, the model control equations establishing unit 420 utilizes the process constraints of the CSP system to establish the model control equations, thereby clarifying the overall laws governing the transfer and conversion of molten salt heat in the system. The process constraints include flow limits on the hot and cold tank inlets and the evaporator return salt temperature.

[0065] The energy balance equations establishing unit 430 is specifically configured to establish an energy balance equation for the molten salt flow process of the solar thermal power generation system by analyzing the temperature change characteristics of the molten salt flowing through each independent link of the solar thermal power generation system, wherein the temperature change characteristics include the functional relationship between the temperature change of the molten salt after flowing through each heat collection, heat storage, and power generation equipment and the mass flow rate and mass of the molten salt; The energy balance equation building unit 430 analyzes and obtains the functional relationship between the temperature change of the molten salt after it flows through each heat collection, heat storage, and power generation equipment and the mass flow rate and mass of the molten salt. By combining the above functional relationships, the energy balance equation group of the system can be constructed, thereby quantitatively describing the temperature change characteristics of the molten salt.

[0066] The mass-temperature constraint equation group establishing unit 440 is specifically used to establish a constraint equation group between the working fluid mass and temperature by analyzing the coupling relationship between the flow process of the molten salt and the heat transfer and conversion process; The mass-temperature constraint equation group establishing unit 440 establishes a constraint equation group between the working fluid mass and temperature by analyzing the coupling relationship between the flow process of the molten salt and the heat transfer and conversion process to describe the constraint relationship between the molten salt mass and temperature.

[0067] The physical model construction unit 450 is specifically used to: jointly establish the model control equations, the energy balance equations and the constraint equations between the molten salt mass and temperature, so as to construct a physical model of the solar thermal power generation system.

[0068] The physical model construction unit 450 combines the above-mentioned model control equations, the energy balance equations and the constraint equations between the mass and temperature of the molten salt to construct a physical model of the solar thermal power generation system.

[0069] In the method provided in this embodiment, first, based on the working principle and process of the solar thermal power station, the mixing process of molten salts of different temperatures inside the cold and hot tanks in the heat storage link is considered, and a physical model of each sub-link of the solar thermal power generation system is constructed, which facilitates the subsequent construction of a solar thermal power station simulation model and an optimization model of the heat release molten salt flow and power generation power based on the mathematical model of each sub-link, thereby improving the modeling accuracy of the heating power station system, thereby realizing the optimized scheduling of the heat release molten salt flow and power generation power of the solar thermal power generation system.

[0070] According to a method for optimizing the operation of a solar thermal power plant taking into account process constraints and energy efficiency changes, the flow rate restrictions of the molten salt in the cold and hot tanks include: When the molten salt flow rate flowing into the absorber is greater than the minimum flow rate of the absorber, the molten salt enters the hot tank; If the molten salt flow rate flowing into the heat absorber is less than the minimum flow rate of the heat absorber, the molten salt outlet temperature at the minimum heat absorber outlet flow rate is taken; If the molten salt outlet temperature is greater than 420 degrees Celsius, the molten salt enters the hot tank for mixing. If the molten salt outlet temperature is less than 420 degrees Celsius, the molten salt returns to the cold tank. Evaporator return salt temperature limits include: If the molten salt return temperature after the steam generator releases heat is higher than 260 degrees Celsius, the molten salt is sent to the low-temperature molten salt cold tank; If the molten salt return temperature after the steam generator releases heat is lower than 260 degrees Celsius, calculate the outlet flow of the hot tank at 260 degrees Celsius, and run it to the cold tank at the outlet flow, and then circulate it to the heat absorber at the top of the tower for heating.

[0071] Specifically, in some embodiments, the molten salt flow rate limits of the cold and hot tanks and the evaporator return salt temperature limits are as follows: As Figure 3 shown, in the present invention, the molten salt flow rate limitation of the hot and cold tanks includes the logic of the inlet flow rate limitation of the hot and cold tanks: when light appears, the concentrating and heat collecting system can be put into operation. The ideal temperature at the outlet of the heat absorber is set to 565 °C, and the flow rate of the molten salt flowing from the cold tank into the heat absorber at this temperature is obtained. When the flow rate of the molten salt is greater than the minimum flow rate of the heat absorber, it indicates that the solar energy at this time can make the temperature of the molten salt in the heat absorber reach the ideal value, and at this time the molten salt will enter the hot tank; if the flow rate is less than the minimum flow rate of the heat absorber, the outlet temperature of the molten salt at the minimum flow rate of the heat absorber needs to be obtained. If this temperature is greater than the threshold temperature of 420 °C, the molten salt will enter the hot tank for mixing; if it is lower than the threshold temperature, the molten salt will return to the cold tank.

[0072] The logic of the salt return temperature limitation of the evaporator is as follows: in order to prevent the molten salt from crystallizing at 238 °C, it is necessary to ensure that the salt return temperature of the molten salt after heat release by the steam generator is higher than 260 °C. If the salt return temperature meets this condition, the molten salt will be directly sent to the low-temperature molten salt cold tank; if the salt return temperature is lower than 26 by 0 °C, it is necessary to calculate the outlet flow rate of the hot tank at 260 °C and operate at this flow rate to the cold tank, and then recycle to the heat absorber at the top of the tower for heating.

[0073] The method provided in this embodiment integrates the molten salt flow rate limitation of the hot and cold tanks and the salt return temperature limitation of the evaporator when constructing the simulation model of the solar thermal power station. Different from the existing optimal scheduling methods that only consider the energy balance of the solar thermal power generation system, the present invention considers the variation characteristics of the thermoelectric conversion efficiency of the solar thermal power generation unit with temperature and flow rate, and the dynamic changes of the molten salt temperature and flow rate caused by the process constraints of the hot and cold tanks, with relatively high modeling accuracy, thereby improving the operating energy efficiency of the solar thermal power station.

[0074] According to an operation optimization method of a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, based on the physical models of each sub-link, a simulation model is constructed under the initial power generation curve and the initial molten salt flow rate curve for heat release in combination with preset constraint conditions, including: Constructing a simulation model based on the molten salt flow rate limitation of the hot and cold tanks, the salt return temperature limitation of the evaporator, and the physical models of each sub-link.

[0075] In some embodiments, step 102 can be implemented through the following steps: Constructing a simulation model based on the molten salt flow rate limitation of the hot and cold tanks, the salt return temperature limitation of the evaporator, and the physical models of each sub-link.

[0076] Specifically, considering the constraint conditions of the molten salt flow rate limitation of the hot and cold tanks and the salt return temperature limitation of the evaporator as described above, under the given initial power generation and the initial molten salt flow rate for heat release, a simulation model of the solar thermal power station is constructed based on the working logic of each sub-link of the solar thermal power station.

[0077] After that, typical locations and typical days are selected. Considering the variation of the solar irradiance curve on typical days, the simulation calculation of the solar thermal power station is carried out, and the temperature, flow rate and mass change of the molten salt inside each device in the heat collection, heat storage and power generation links can be obtained. That is, the simulation calculation is performed to obtain the updated power generation curve and the updated flow rate curve of the heat-release molten salt.

[0078] In the method provided in this embodiment, a simulation model is constructed based on the molten salt flow rate limit of the hot and cold tanks, the salt return temperature limit of the evaporator, and the physical models of each sub-link, which facilitates the subsequent alternating execution of the simulation model and the optimization model to obtain the optimal scheduling results of the power generation and the heat-release molten salt, thereby improving the operation energy efficiency of the heat-release power station.

[0079] According to an operation optimization method of a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, combined with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation benefits, including: Based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of the hot tank and the cold tank storing and releasing molten salt in the heat storage link, the mass conservation equation of the molten salt in the hot and cold tanks in the heat storage link is obtained; Based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the process of the molten salt entering the steam generator from the high-temperature heat storage tank for heat exchange, the energy conservation equation is obtained; Based on the operation requirements of the steam turbine and the high-temperature heat storage tank, the unit start-stop and start-up duration, ramp rate, power generation capacity, and heat storage tank capacity, the operation constraints are obtained; Based on the mass conservation equation, energy conservation equation, operation constraints and objective function of the molten salt in the hot and cold tanks in the heat storage link, the linear optimization model is determined.

[0080] Specifically, in some embodiments, the establishment process of the optimization model in step 103 is implemented through the following steps: Among them, the objective function can be expressed as: (14) (15) Among them, the meanings represented by each variable are as follows: represents the volatility penalty index, which represents the sum of the squares of the power change amounts between two adjacent time points and is used to quantify the severity of the power generation power fluctuation; represents the power generation power at time t; represents the power generation power at time t - 1; represents the proportion coefficient of the volatility penalty term.

[0081] The specific construction steps of the linear optimization model include the following: First, based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of storing and releasing molten salt in the hot tank and cold tank in the heat storage link, the mass conservation equations of the molten salt in the hot and cold tanks in the heat storage link are obtained. Specifically, the following formula is referred to: (16) (17) Among them, the meanings represented by each variable are as follows: m sto,t represents the moment t The mass flow rate of the molten salt entering the heat storage tank, unit: kg / s; m rel,t represents the moment t The mass flow rate of the molten salt released from the heat storage tank, unit: kg / s; represents The mass of the molten salt in the hot tank at moment, unit: Kg; represents The mass of the molten salt in the hot tank at moment, unit: Kg; represents the moment The mass of the molten salt in the cold tank; represents the moment t The mass of the molten salt in the cold tank.

[0082] Furthermore, based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the heat exchange process of the molten salt from the high-temperature heat storage tank to the steam generator, the energy conservation equation is obtained. Specifically, the following formula is referred to: (18) (19) Among them, the meanings represented by each variable are as follows: T hot,t —— t The outlet temperature of the molten salt in the hot tank at moment, unit: degree Celsius; T cold,in,t —— t The inlet temperature of the molten salt in the cold tank at moment, unit: degree Celsius; represents the moment t The mass flow rate of the molten salt released from the heat storage tank, unit: kg / s; C represents the specific heat capacity of the molten salt, which is a constant; represents the power generation at moment t; It represents the heat release after the molten salt enters the evaporator, with the unit of J.

[0083] It represents the thermoelectric conversion efficiency.

[0084] Furthermore, based on the operating requirements of the steam turbine and the high-temperature heat storage tank, the start-stop of the unit, start-up duration, ramp rate, power generation capacity, and heat storage tank capacity, the operating constraints are obtained. The operating constraints refer to the following formula: (20) (21) (22) (23) (24) (25) (26) (27) (28) (29) The meanings represented by each variable are as follows: u on,t It represents the moment t The start-up action variable of the steam turbine, u on When it = 1, it switches to start-up; u off,t It represents the moment t The start-up action variable of the steam turbine, u off When it = 1, it switches to start-up; v t It represents the moment t The start-stop state of the steam turbine, a binary variable, v t When it = 1, it represents the operating state of the steam turbine, v t When it = 0, it represents the shutdown state of the steam turbine; t left It represents the remaining scheduling time, unit: s; t on It represents the minimum start-up duration, unit: s; t offIndicates the minimum shutdown duration, unit: s; U up Indicates the upward ramp rate of the steam turbine, unit: MW / h; U down Indicates the downward ramp rate of the steam turbine, unit: %Pe / h; P max Indicates the power generation capacity of the steam turbine, unit: MW; M cold,min Indicates the lower limit of the molten salt mass in the cold tank, unit: kg; M cold,max Indicates the upper limit of the molten salt mass in the cold tank, unit: kg; M hot,min Indicates the lower limit of the molten salt mass in the hot tank, unit: kg; M hot,max Indicates the upper limit of the molten salt mass in the hot tank, unit: kg; m rel,min Indicates the lower limit of the molten salt heat release flow rate, unit: kg / s; m rel,max Indicates the upper limit of the molten salt heat release flow rate, unit: kg / s; Among them, for the solar thermal power generation system, Equations (20)-(21) represent the start-stop state of the steam turbine; Equations (22)-(23) represent the minimum duration requirements that the continuous startup time and shutdown time of the steam turbine need to meet; Equations (24)-(25) represent that when considering the start-stop of the steam turbine, the output change between adjacent moments is limited by its ramp rate; Equation (26) represents that the electrical output of the steam turbine is limited by its operating state and output range; Equations (27)-(29) represent that the molten salt mass and the molten salt heat release flow rate in the cold and hot tanks of the solar thermal power plant need to meet their upper and lower limit constraints.

[0085] Furthermore, based on the mass conservation equation, energy conservation equation, operation constraints, and objective function of the molten salt in the cold and hot tanks in the above heat storage link, a linear optimization model is determined to complete the construction of the linear optimization model.

[0086] In the method provided in this embodiment, first, based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of storing and releasing molten salt in the hot tank and the cold tank in the heat storage link, the mass conservation equation of the molten salt in the hot and cold tanks in the heat storage link is obtained; based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the heat exchange process of the molten salt from the high-temperature heat storage tank to the steam generator, the energy conservation equation is obtained; based on the operating requirements of the steam turbine and the high-temperature heat storage tank, the unit start-stop and start-up duration, ramp rate, power generation capacity, and heat storage tank capacity, the operation constraints are obtained; then, based on the mass conservation equation, energy conservation equation, operation constraints, and objective function of the molten salt in the hot and cold tanks in the heat storage link, a linear optimization model is determined. The present invention combines the daily irradiation curve, takes the maximum power generation benefit as the optimization goal, considers the time-series coupling relationship of the molten salt mass and temperature in the hot and cold tanks of the solar thermal power plant at different times, constructs an optimization model for the flow rate of the heat-release molten salt and the power generation power. After that, the optimal scheduling results of the flow rate of the heat-release molten salt and the power generation power are obtained by iteratively solving the simulation model and the optimization model, and the optimal scheduling of the flow rate of the heat-release molten salt and the power generation power of the solar thermal power plant is efficiently realized.

[0087] Figure 5 is a schematic flow chart of the simulation calculation of the solar thermal power plant provided by the present invention, as Figure 5 shown, this process includes the following steps: First, initialize.

[0088] Then, calculate the heat collection efficiency of the solar receiver at time t according to Equation (1-3).

[0089] Further, determine whether the molten salt flow rate is greater than the upper limit of the inlet flow rate of the solar receiver: If the molten salt flow rate is greater than the upper limit of the inlet flow rate of the solar receiver, calculate the outlet temperature of the solar receiver at the maximum flow rate according to Equation (4); If the molten salt flow rate is less than the upper limit of the inlet flow rate of the solar receiver, determine whether the molten salt flow rate is less than the lower limit of the inlet flow rate of the solar receiver: If the molten salt flow rate is greater than the lower limit of the inlet flow rate of the solar receiver, calculate the outlet temperature of the solar receiver at the minimum flow rate according to Equation (4); calculate the temperature and mass of the molten salt at the outlet of the collector entering the hot tank and mixing according to Equations (5-7); calculate the outlet temperature of the molten salt entering the evaporator according to Equations (11-13); calculate the temperature and mass of the molten salt entering the cold tank and mixing according to Equations (8-10); If it is determined that the molten salt flow rate is less than the lower limit of the inlet flow rate of the solar receiver, calculate the outlet temperature of the solar receiver at the flow rate according to Equation (4), and further determine whether the temperature is greater than 420 degrees Celsius; if the outlet temperature of the solar receiver at the minimum flow rate is greater than 420 degrees Celsius, calculate the temperature and mass of the molten salt at the outlet of the collector entering the hot tank and mixing according to Equations (5-7); if the outlet temperature of the solar receiver at the minimum flow rate is less than 420 degrees Celsius, calculate the temperature and mass of the molten salt entering the cold tank and mixing according to Equations (8-10); Furthermore, determine whether t is 96; if so, end the simulation; if not, further calculate the next moment t+1 according to the simulation.

[0090] Figure 6 is the architecture diagram of the optimization dispatch - simulation calculation of the solar thermal power plant provided by the present invention, as Figure 6 shown, the method includes: First, initialize. Obtain the given molten salt flow rate curve at the outlet of the hot tank and the electric load curve.

[0091] Furthermore, in combination with the molten salt temperature in the cold and hot tanks and the molten salt flow rate for heat storage, calculate the optimal regulation of the electric output of the unit according to Equation (14-29), that is, the molten salt flow rate for heat release and the power generation curve.

[0092] Furthermore, in combination with the molten salt flow rate for heat release and the power generation curve, perform simulation calculation on the power station working process according to Equation (1-13).

[0093] By repeatedly iterating the above two steps until convergence, finally obtain the molten salt flow rate change curve and the power generation curve.

[0094] Next, the solar thermal power plant operation optimization device considering process constraints and energy efficiency changes provided by the present invention will be described. The solar thermal power plant operation optimization device considering process constraints and energy efficiency changes described below can be mutually referred to the solar thermal power plant operation optimization method considering process constraints and energy efficiency changes described above.

[0095] Figure 7 is the structural schematic diagram of the solar thermal power plant operation optimization device considering process constraints and energy efficiency changes provided by the present invention, as Figure 7 shown, the solar thermal power plant operation optimization device 700 considering process constraints and energy efficiency changes includes the following modules: The dynamic modeling module 710 is used to construct physical models of each sub-link in the tower-type solar thermal power generation system based on the operation principle of the tower-type solar thermal power generation system; each sub-link includes a concentrating and heat collection link, a heat storage link, and a power generation link; The constraint integration and simulation module 720 is used to construct a simulation model based on the physical models of each sub-link, in combination with preset constraint conditions under the initial power generation curve and the initial molten salt flow rate curve for heat release; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow rate curve and an updated power generation curve; the preset constraint conditions include molten salt flow rate limits in the cold and hot tanks and the salt return temperature limit of the evaporator; The iterative solution module 730 is used to construct a linear optimization model including operation constraints with the goal of maximizing power generation revenue in combination with the input daily irradiance curve; the linear optimization model is used to solve for the target molten salt flow rate curve and the target power generation curve; the operation constraints include molten salt mass constraints and steam turbine ramp rate constraints; The simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve when the curves converge are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0096] The device provided in this embodiment includes a dynamic modeling module 710, a constraint integration and simulation module 720, and an iterative solution module 730. First, the dynamic modeling module 710 is used to construct physical models of each sub-link in the tower-type solar thermal power generation system based on the operating principle of the tower-type solar thermal power generation system, where each sub-link includes a concentrating and heat-collecting link, a heat storage link, and a power generation link; then, the constraint integration and simulation module 720 constructs a simulation model based on the physical models of each sub-link under the initial power generation curve and the initial heat-release molten salt flow curve in combination with preset constraint conditions. The simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve. The preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the return salt temperature limit of the evaporator; further, the iterative solution module 730 constructs a linear optimization model including operating constraints with the maximization of power generation benefits as the goal in combination with the input daily irradiation curve. This linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve. The operating constraints include the molten salt mass constraint and the steam turbine ramp rate constraint; furthermore, the simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge. The target molten salt flow curve and the target power generation curve when the curves converge are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0097] The present invention decouples the overall operation optimization problem of the solar thermal power station into two sub-problems: a linear optimization model of the heat-release molten salt flow and the power generation power and a simulation calculation model of the molten salt flow temperature and efficiency change, and performs iterative solution alternately until the target molten salt flow curve and the target power generation curve converge. After that, the converged target molten salt flow curve and the target power generation curve are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations, which can optimize the molten salt flow and the power generation power with the maximization of the power generation benefits of the power station as the optimization goal under different working conditions. At the same time, the system model proposed by the present invention disassembles the original non-linear optimization problem into a simulation calculation problem containing multiple temperature and flow constraint threshold judgments and a quadratic programming optimization problem, realizing the improvement of the modeling accuracy and the model calculation efficiency, and further improving the operation energy efficiency of the solar thermal power station.

[0098] According to an operation optimization device 700 for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, the iterative solution module 730 is specifically configured to: Based on the initial power generation curve and the initial molten salt flow rate curve for heat release, perform the simulation calculation operation through the simulation model to generate the updated molten salt flow rate curve and the updated power generation curve; Input the updated molten salt flow rate curve and the updated power generation curve into the linear optimization model to perform the linear optimization model solution operation, and obtain the target molten salt flow rate curve and the target power generation curve; Alternately perform the simulation calculation operation and the linear optimization model solution operation until the target molten salt flow rate curve and the target power generation curve meet the convergence condition; wherein, the target molten salt flow rate curve and the target power generation curve when the curve convergence condition is reached are used to represent the optimal scheduling results of the molten salt flow rate for heat release and the power generation.

[0099] According to an operation optimization device for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, the dynamic modeling module 710 is specifically configured to: Based on the operation principle of the concentrating and heat collection link and the law of conservation of energy, construct a solar-thermal energy conversion equation set for describing the concentrating and heat collection link of a tower-type solar thermal power station; Based on the molten salt mixing effect, the law of conservation of mass, and the law of conservation of energy, construct a molten salt temperature and mass equation set in the hot tank and a molten salt temperature and mass equation set in the cold tank for describing the heat storage link of a tower-type solar thermal power station; Based on the operation principle of the power generation link and the law of conservation of energy, consider the dynamic characteristics of the thermoelectric conversion efficiency to construct a thermoelectric energy conversion equation set for describing the power generation link of a tower-type solar thermal power station; the dynamic characteristics of the thermoelectric conversion efficiency are used to represent the dynamic changes of the thermoelectric conversion efficiency with the molten salt temperature, the molten salt flow rate, and the power generation.

[0100] According to an operation optimization device for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, the molten salt flow rate limits of the hot and cold tanks include: When the molten salt flow rate flowing into the absorber is greater than the minimum flow rate of the absorber, the molten salt enters the hot tank; If the molten salt flow rate flowing into the absorber is less than the minimum flow rate of the absorber, the molten salt outlet temperature at the minimum absorber outlet flow rate is taken; If the molten salt outlet temperature is greater than 420 degrees Celsius, the molten salt enters the hot tank for mixing, and if the molten salt outlet temperature is less than 420 degrees Celsius, the molten salt returns to the cold tank; The evaporator salt return temperature limit includes: If the salt return temperature of the molten salt after heat release by the steam generator is higher than 260 degrees Celsius, the molten salt is sent to the low-temperature molten salt cold tank; If the molten salt return temperature after heat release of the steam generator is lower than 260 °C, calculate the outlet flow rate of the hot tank at 260 °C, and operate to the cold tank at the outlet flow rate, and then recycle to the absorber at the top of the tower for heating.

[0101] According to an operating optimization device for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, the constraint integration and simulation module 720 is specifically used for: Construct the simulation model based on the molten salt flow rate limit of the hot and cold tanks, the return salt temperature limit of the evaporator, and the physical models of the respective sub-links.

[0102] According to an operating optimization device for a solar thermal power station considering process constraints and energy efficiency changes provided by the present invention, the iterative solution module 730 is specifically used for: Based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of storing and releasing molten salt in the hot and cold tanks in the heat storage link, obtain the mass conservation equation of the molten salt in the hot and cold tanks in the heat storage link; Based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the heat exchange process of the molten salt entering the steam generator from the high-temperature heat storage tank, obtain the energy conservation equation; Based on the operating requirements of the steam turbine and the high-temperature heat storage tank, the start-stop and start-up duration, ramp rate, power generation capacity, and heat storage tank capacity of the unit, obtain the operating constraints; Based on the mass conservation equation, energy conservation equation, operating constraints, and objective function of the molten salt in the hot and cold tanks in the heat storage link, determine the linear optimization model.

[0103] Figure 8 An example of a schematic physical structure diagram of an electronic device is shown in Figure 8 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840. The processor 810 can call the logical instructions in the memory 830 to execute the operating optimization method for a solar thermal power station considering process constraints and energy efficiency changes, and the method includes: Based on the operating principle of the tower-type solar thermal power generation system, construct the physical models of the respective sub-links in the tower-type solar thermal power generation system; the respective sub-links include a concentrating and heat collection link, a heat storage link, and a power generation link; Based on the physical models of the respective sub-links, a simulation model is constructed under the initial power generation curve and the initial molten salt heat release flow curve in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the back-salt temperature limit of the evaporator. Combined with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operation constraints include molten salt mass constraints and steam turbine ramp rate constraints. The simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0104] In addition, when the logical instructions in the above-mentioned memory 830 can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0105] On the other hand, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the solar thermal power plant operation optimization method considering process constraints and energy efficiency changes provided by the above-mentioned various methods. The method includes: Based on the operating principle of the tower-type solar thermal power generation system, physical models of the respective sub-links in the tower-type solar thermal power generation system are constructed; the respective sub-links include a concentrating and heat collection link, a heat storage link, and a power generation link. Based on the physical models of the respective sub-links, a simulation model is constructed under the initial power generation curve and the initial molten salt flow curve for heat release in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the return salt temperature limit of the evaporator; Combined with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operation constraints include the molten salt mass constraint and the turbine ramp rate constraint; The simulation calculation operation and the linear optimization model solution operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0106] On the other hand, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it realizes the operation optimization method of the solar thermal power station considering process constraints and energy efficiency changes provided by the above-mentioned various methods. The method includes: Based on the operation principle of the tower-type solar thermal power generation system, physical models of the respective sub-links in the tower-type solar thermal power generation system are constructed; the respective sub-links include a concentrating and heat collection link, a heat storage link, and a power generation link; Based on the physical models of the respective sub-links, a simulation model is constructed under the initial power generation curve and the initial molten salt flow curve for heat release in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow limit of the cold and hot tanks and the return salt temperature limit of the evaporator; Combined with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operation constraints include the molten salt mass constraint and the turbine ramp rate constraint; The simulation calculation operation and the linear optimization model solution operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

[0107] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0108] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or equivalently replace some of the technical features. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An operation optimization method for a solar thermal power plant considering process constraints and energy efficiency changes, characterized in that Including: Based on the operating principle of the tower-type solar thermal power generation system, physical models of each sub-link in the tower-type solar thermal power generation system are constructed; each sub-link includes a concentrating and heat collection link, a heat storage link, and a power generation link; Based on the physical models of each sub-link, a simulation model is constructed under the initial power generation curve and the initial heat-release molten salt flow curve in combination with preset constraint conditions; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow limit of the hot and cold tanks and the return salt temperature limit of the evaporator; Combined with the input daily irradiation curve, a linear optimization model including operating constraints is constructed with the goal of maximizing power generation revenue; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operating constraints include molten salt mass constraints and steam turbine ramp rate constraints; The simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow curve and the target power generation curve converge; the target molten salt flow curve and the target power generation curve at the time of curve convergence are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

2. The operation optimization method of a solar thermal power station considering process constraints and energy efficiency changes according to claim 1, characterized in that The alternately executing the simulation calculation operation and the linear optimization model solving operation in an iterative manner until the target molten salt flow curve and the target power generation curve converge includes: Based on the initial power generation curve and the initial heat-release molten salt flow curve, the simulation calculation operation is performed through the simulation model to generate the updated molten salt flow curve and the updated power generation curve; The updated molten salt flow curve and the updated power generation curve are input into the linear optimization model to perform the linear optimization model solving operation to obtain the target molten salt flow curve and the target power generation curve; The simulation calculation operation and the linear optimization model solving operation are alternately executed until the target molten salt flow curve and the target power generation curve meet the convergence condition; wherein, the target molten salt flow curve and the target power generation curve at the time of reaching the curve convergence condition are used to characterize the optimal scheduling results of the heat-release molten salt flow and the power generation power.

3. The method for optimizing the operation of a solar thermal power station considering process constraints and energy efficiency changes according to claim 1, wherein The constructing physical models of each sub-link based on the operating principle of the tower-type solar thermal power generation system includes: Based on the operating principle of the concentrating and heat collection link and the law of conservation of energy, a photothermal energy conversion equation set describing the concentrating and heat collection link of the tower-type solar thermal power station is constructed; Based on the molten salt mixing effect, the law of conservation of mass, and the law of conservation of energy, an equation set of molten salt temperature and mass in the hot tank and an equation set of molten salt temperature and mass in the cold tank in the heat storage link of the tower-type solar thermal power station are constructed; Based on the operating principle of the power generation link and the law of conservation of energy, considering the dynamic characteristics of the thermoelectric conversion efficiency, a thermoelectric energy conversion equation set describing the power generation link of the tower-type solar thermal power station is constructed; the dynamic characteristics of the thermoelectric conversion efficiency are used to characterize the dynamic changes of the thermoelectric conversion efficiency with the molten salt temperature, the molten salt flow rate, and the power generation amount.

4. The method for optimizing the operation of a solar thermal power station considering process constraints and energy efficiency changes according to claim 1, wherein The molten salt flow limit of the hot and cold tanks includes: When the molten salt flow rate into the absorber is greater than the minimum flow rate of the absorber, the molten salt enters the hot tank; If the molten salt flow rate into the absorber is less than the minimum flow rate of the absorber, the molten salt outlet temperature at the minimum absorber outlet flow rate is taken; If the molten salt outlet temperature is greater than 420 degrees Celsius, the molten salt enters the hot tank for mixing. If the molten salt outlet temperature is less than 420 degrees Celsius, the molten salt returns to the cold tank; The evaporator salt return temperature limit includes: If the molten salt return temperature after heat release by the steam generator is higher than 260 degrees Celsius, the molten salt is sent to the low-temperature molten salt cold tank; If the molten salt return temperature after heat release by the steam generator is lower than 260 degrees Celsius, calculate the outlet flow rate of the hot tank at 260 degrees Celsius and operate to the cold tank at the outlet flow rate, and then recycle to the absorber at the top of the tower for heating.

5. The method for optimizing the operation of a solar thermal power station considering process constraints and energy efficiency changes according to claim 4, wherein Based on the physical models of the respective sub-links, a simulation model is constructed under the initial power generation curve and the initial heat-release molten salt flow curve in combination with preset constraint conditions, including: Construct the simulation model based on the molten salt flow rate limit of the hot and cold tanks, the evaporator salt return temperature limit, and the physical models of the respective sub-links.

6. The method for optimizing the operation of a solar thermal power station considering process constraints and energy efficiency changes according to claim 1, wherein Combined with the input daily irradiance curve, a linear optimization model including operation constraints is constructed with the goal of maximizing power generation revenue, including: Based on the law of conservation of mass, considering the dynamic change of the molten salt mass during the process of storing and releasing molten salt in the hot and cold tanks in the heat storage link, the mass conservation equation of the molten salt in the hot and cold tanks in the heat storage link is obtained; Based on the law of conservation of energy, considering the change of the thermoelectric conversion efficiency during the heat exchange process of the molten salt from the high-temperature heat storage tank to the steam generator, the energy conservation equation is obtained; Based on the operation requirements of the steam turbine and the high-temperature heat storage tank, the unit start-stop and start-up duration, ramp rate, power generation capacity, and heat storage tank capacity, the operation constraints are obtained; Based on the mass conservation equation, energy conservation equation, operation constraints, and objective function of the molten salt in the hot and cold tanks in the heat storage link, the linear optimization model is determined.

7. An operation optimization device for a solar thermal power station considering process constraints and energy efficiency changes, characterized in that, Including: A dynamic modeling module for constructing physical models of the respective sub-links in the tower-type solar thermal power generation system based on the operation principle of the tower-type solar thermal power generation system; the respective sub-links include a concentrating and heat-collecting link, a heat storage link, and a power generation link; A constraint integration and simulation module for constructing a simulation model under the initial power generation curve and the initial heat-release molten salt flow curve in combination with preset constraint conditions based on the physical models of the respective sub-links; the simulation model is used to perform simulation calculations to obtain an updated molten salt flow curve and an updated power generation curve; the preset constraint conditions include the molten salt flow rate limit of the hot and cold tanks and the evaporator salt return temperature limit; An iterative solution module for constructing a linear optimization model including operation constraints with the goal of maximizing power generation revenue in combination with the input daily irradiance curve; the linear optimization model is used to solve for the target molten salt flow curve and the target power generation curve; the operation constraints include the molten salt mass constraint and the steam turbine ramp rate constraint; The simulation calculation operation and the linear optimization model solving operation are alternately executed in an iterative manner until the target molten salt flow rate curve and the target power generation curve converge; the target molten salt flow rate curve and the target power generation curve when the curve convergence is achieved are used for the tower-type solar thermal power generation system to drive the steam turbine and the molten salt pump to perform operation optimization operations.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the solar thermal power plant operation optimization method considering process constraints and energy efficiency changes according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the solar thermal power plant operation optimization method considering process constraints and energy efficiency changes according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the solar thermal power plant operation optimization method considering process constraints and energy efficiency changes according to any one of claims 1 to 6.

Images