Tower type photothermal power station polymerization operation optimization scheduling method and system

Abstract

The application provides a tower type photothermal power station polymerization operation optimization scheduling method and system, comprising: obtaining parameters of a tower type photothermal power station; inputting the parameters of the tower type photothermal power station into a tower type photothermal power station polymerization operation optimization model constructed in advance to perform calculation, obtaining operation states, power generation powers and start-stop machine numbers of the tower type photothermal power station in a set period; obtaining a tower type photothermal power station optimization scheduling scheme in the set period based on the operation states, power generation powers and start-stop machine numbers of the tower type photothermal power station in the set period; wherein the tower type photothermal power station polymerization operation optimization model comprises constraint conditions determined by a decoupling operation characteristic of a mirror field collector and power generation system and a heat rejection amount generated by a collector input heat variation amplitude limitation. The application can accurately describe the operation characteristic of the tower type photothermal power station after polymerization and the start-stop machine condition, and then can accurately and quickly perform production simulation calculation.

Description

Technical Field

[0001] This invention belongs to the field of new energy production simulation technology, specifically relating to a method and system for optimizing the operation and scheduling of tower solar thermal power plants. Background Technology

[0002] Concentrated solar power (CSP) is an emerging solar power technology that has emerged in recent years, boasting advantages such as large thermal storage capacity and strong regulation capabilities. Large-scale deployment of CSP plants can achieve coordinated complementarity with wind and solar power, effectively increasing the renewable energy absorption capacity of provincial power grids. Medium- and long-term power system production simulation calculations are an effective technical means to assess the renewable energy absorption capacity of the power grid; therefore, it is urgent to establish an operation optimization model for CSP plants suitable for production simulation calculations. The operation of CSP plants is quite complex, involving processes such as unit start-up and shutdown, and thermal storage and release. When there are many CSP plants, the complexity and difficulty of solving the production simulation operation optimization model will increase significantly. Therefore, aggregate modeling can be performed for CSP plants of the same type and installed capacity. While ensuring model accuracy, the complexity of the operation optimization model can be reduced by decreasing the scale of variables, thereby improving the speed of production simulation calculations.

[0003] Tower solar thermal power plants and trough solar thermal power plants are the two most common types of solar thermal power plants in China. The operating principle of a tower solar thermal power plant is to control the numerous planar mirrors in the solar field to reflect the solar energy onto the collector at the top of the tower. The solar radiation heats the molten salt in the collector, and then the heated molten salt is stored in a heat storage tank. The molten salt in the heat storage tank releases heat to heat the steam, which in turn drives the turbine to generate electricity through a thermodynamic cycle. The heat collection and heat conduction links of a tower solar thermal power plant are significantly different from those of a trough solar thermal power plant: (1) The mirror field heat collection and power generation system of a tower solar thermal power plant are completely decoupled. The heat generated by the turbine comes only from the molten salt in the heat storage tank. The mirror field heat collection, heat storage and power generation system of a trough solar thermal power plant are coupled together. That is, the heat generated by the turbine can come from the molten salt in the heat storage tank or directly from the mirror field heat collection. (2) The collector temperature of a parabolic trough solar thermal power plant is much lower than that of a tower solar thermal power plant. The main reason for the wasted heat in the collector is the limitations of the storage tank capacity and the turbine power generation capacity. In contrast, tower solar thermal power plants also suffer from wasted heat due to limitations in collector performance. This is because the heat collection process in a tower solar thermal power plant involves reflecting all the mirror fields onto a single collector, whose temperature is much higher than that in a parabolic trough solar thermal power plant. When cloud cover suddenly occurs, the temperature change of the collector material in a tower solar thermal power plant may exceed 300 degrees Celsius in a short period of time, while the collector material's tolerance limit is usually around 100 degrees Celsius per minute. Therefore, to avoid material damage, the power plant needs to adjust the mirror field in advance to slow down the temperature change of the collector, which results in wasted heat.

[0004] Therefore, the optimization model for the combined operation of tower solar thermal power plants not only needs to describe the combined effect of multiple solar thermal power plants, but also needs to accurately reflect their operating characteristics, including: the heat waste generated by the mirror field heat collection, the decoupling characteristics between the mirror field heat collection and the power generation system, etc.

[0005] Existing technologies primarily target parabolic trough solar thermal power plants because their heat collection, energy storage, and power generation processes are interconnected, and they do not account for heat waste caused by collector performance limitations. Furthermore, existing methods do not restrict the start-up and shutdown states of compositing solar thermal units within the same time period, leading to multiple solutions in production simulations where some units are started while others are shut down. For example, assuming a compositing model of 8 solar thermal power plants, if the number of operating units needs to be increased from 3 to 5 at a certain time period, existing methods yield four possible combinations of start-up and shutdown numbers: {2,0}, {3,1}, {4,2}, and {5,3}, affecting the accuracy of the production simulation calculations. Summary of the Invention

[0006] To address the problem of inaccurate calculations in existing technologies for production simulation of tower solar thermal power plants due to the failure to consider heat waste from collectors, this invention provides a method for optimizing the operation and scheduling of tower solar thermal power plants, comprising:

[0007] Obtain the parameters of the tower solar thermal power plant;

[0008] The parameters of the tower solar thermal power plant are input into a pre-built tower solar thermal power plant aggregation operation optimization model for calculation, so as to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set period.

[0009] Based on the operating status, power generation, and number of start-up and shutdown units of the tower solar thermal power plant during the specified time period, an optimized scheduling scheme for the tower solar thermal power plant during the specified time period is obtained.

[0010] The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of heat waste generated by the variation in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation system.

[0011] Preferably, the construction of the optimization model for the combined operation of the tower solar thermal power plant includes:

[0012] Construct an objective function with the goal of minimizing overall operating cost;

[0013] The operating constraints of the thermal energy storage system are constructed based on the theoretical maximum heat collection of the polymer tower solar thermal power plant during a set period, the heat waste caused by the rate of change of the heat input to the collector, the heat waste caused by the heat storage tank and the power generation capacity limitation of the steam turbine, the heat storage tank, the heat input of the collector in the previous period, the upper limit of the change of the heat input to the collector, the upper limit of the heat storage tank and the heat release, the heat storage tank, the heat storage tank in the previous period, the heat dissipation coefficient of the heat storage tank of a single tower solar thermal power plant, the heat release of the heat storage tank, the heat storage efficiency and heat release efficiency of the heat storage tank of a single tower solar thermal power plant, and the upper and lower limits of the capacity of the heat storage tank of a single tower solar thermal power plant.

[0014] Thermoelectric coupling operation constraints are constructed based on the power generation of the polymer tower solar thermal power plant during a set period, the thermoelectric conversion efficiency coefficient, and the heat required for turbine power generation.

[0015] The operating constraints of the power generation system are constructed based on the number of turbines operating in a concentrated tower solar thermal power plant during a set period, the maximum and minimum technical output of a single tower solar thermal power plant, the number of turbines operating in the previous period, and the start-up and shutdown status constraints.

[0016] An operation optimization model for a polymer tower solar thermal power plant is constructed based on the objective function, the thermal storage system operation constraints, the thermoelectric coupling operation constraints, and the power generation system operation constraints.

[0017] Preferably, the operating constraints of the thermal storage system include: heat balance constraints at a set time, heat input constraints of the collector, heat input ramp-up constraints of the collector, heat storage / release constraints, heat balance constraints of the thermal storage tank, and capacity constraints of the thermal storage tank.

[0018] Preferably, the heat balance constraint at the set time is determined by the following formula:

[0019]

[0020] In the formula, N represents the number of tower solar thermal power plants, and j represents the number of the tower solar thermal power plant. This represents the theoretical maximum heat collection of the mirror field of the j-th tower solar thermal power plant during time period t. This represents the amount of heat wasted by the j-th tower solar thermal power plant during time period t due to the limitation on the rate of change of the heat input to the collector. This represents the amount of heat wasted by a solar thermal power plant during time period t due to limitations in heat storage in the storage tank and the power generation capacity of the turbine. This indicates the amount of heat stored in the heat storage tank of a polymer tower solar thermal power plant during time period t.

[0021] Preferably, the heat input constraint of the solar collector at the set time is determined by the following formula:

[0022]

[0023] In the formula, This represents the heat input to the collector of the j-th tower solar thermal power plant during the time period t-1.

[0024] Preferably, the constraint on the collector's input heat ramp-up capability at a set time is determined by the following formula:

[0025]

[0026] In the formula, Δt is the length of a unit time period, and h SD This indicates the upper limit of the variation in the heat input to a single tower solar thermal power plant collector within a unit of time period.

[0027] Preferably, the heat storage / release constraint at the set time is determined by the following formula:

[0028]

[0029] In the formula, This indicates the amount of heat stored in a single tower-type solar thermal power plant's storage tank during a set time period. This indicates the maximum heat output of a single tower solar thermal power plant within a set time period;

[0030] Preferably, the heat balance constraint of the thermal storage tank at the set time is determined by the following formula:

[0031]

[0032] In the formula, E t E represents the amount of heat stored in the thermal storage tank of a solar thermal power plant during time period t. t-1 γ represents the heat stored in the polymer tower solar thermal power plant during the time period t-1, and γ represents the dissipation coefficient of a single tower solar thermal power plant's heat storage tank. η represents the amount of heat released by the heat storage tank in a solar thermal power plant during time period t. ch η represents the thermal storage efficiency of a single tower-type solar thermal power plant's thermal storage tank. dc This indicates the heat release efficiency of a single tower-type solar thermal power plant's heat storage tank.

[0033] Preferably, the capacity constraint of the thermal storage tank at the set time is determined by the following formula:

[0034] N·E min ≤E t ≤N·E max

[0035] In the formula, E max E represents the upper limit of the thermal storage tank capacity of a single tower solar thermal power plant. min This indicates the lower limit of the capacity of the thermal storage tank in a single tower solar thermal power plant.

[0036] Preferably, the thermoelectric coupling operation constraint includes: thermoelectric coupling constraint and turbine power generation heat constraint at a set time.

[0037] Preferably, the thermoelectric coupling constraint at the set time is determined by the following formula:

[0038]

[0039] In the formula, P t β represents the power generation of the polymer tower solar thermal power plant during time period t, and β represents the thermoelectric conversion efficiency coefficient of the tower solar thermal power plant. This represents the amount of heat required for the turbine of a solar thermal power plant to generate electricity during time period t.

[0040] Preferably, the constraint on the steam turbine power generation heat at a set time includes:

[0041]

[0042] In the formula, E su U represents the heat required to start up a single tower solar thermal power plant turbine. t This indicates the number of units started up in a polymer tower solar thermal power plant during time period t.

[0043] Preferably, the power generation system operation constraints include: constraints on the number of turbines in operation during a set time period, constraints on the upper and lower limits of power generation, constraints on the number of turbines started and stopped, constraints on the start and stop status, and constraints on the number of turbines started.

[0044] Preferably, the constraint on the number of steam turbines operating during the set time period is determined by the following formula:

[0045] 0≤S t ≤N

[0046] In the formula, S t This indicates the number of turbines operating in a solar thermal power plant during time period t.

[0047] Preferably, the upper and lower limits of power generation during the set time period are determined by the following formula:

[0048] S t ·p min ≤P t ≤S t ·p max

[0049] In the formula, p max p represents the maximum technical output of a single tower solar thermal power plant. min This indicates the minimum technical output of a single tower-type solar thermal power plant.

[0050] Preferably, the constraint on the number of machines to be started and stopped during the set time period is determined by the following formula:

[0051] Z t ·N≤S t -S t-1 ≤Y t ·N

[0052] In the formula, S t-1 Y represents the number of turbines operating in a solar thermal power plant during time period t-1. t Z represents the start-up status of a polymer tower solar thermal power plant during time period t. t This indicates the shutdown status of the polymer tower solar thermal power plant during time period t;

[0053] Preferably, the start / stop state constraint is determined by the following formula:

[0054] Y t +Z t ≤1

[0055] In the formula, Y t and Z t All are integer variables between 0 and 1. When Y t When Z = 1, it indicates that the polymer tower solar thermal power plant started up during time period t. t =1 indicates that the polymer tower solar thermal power plant shut down during time period t.

[0056] Preferably, the constraint on the number of machines to be started within a set time period is determined by the following formula:

[0057]

[0058] In the formula, U t This represents the number of units started up in a polymer tower solar thermal power plant during time period t.

[0059] Preferably, the constraint on the number of machines started within a set time period is linearized and determined by the following formula:

[0060]

[0061] In the formula, V t The continuous optimization variable introduced for the intermediate calculation process, x t Integer variables of 0-1 introduced for intermediate calculation processes;

[0062] Where, x t The value can be 0 or 1.

[0063] Based on the same inventive concept, this invention also provides a tower-type solar thermal power plant aggregation operation optimization scheduling system, comprising:

[0064] The parameter acquisition module is used to acquire parameters of the tower solar thermal power plant.

[0065] The calculation module is used to input the parameters of the tower solar thermal power plant into a pre-built tower solar thermal power plant aggregation operation optimization model for calculation, so as to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set period of time.

[0066] The scheme formulation module is used to obtain an optimized scheduling scheme for the tower solar thermal power plant for the set time period based on the operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant for the set time period.

[0067] The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of heat waste generated by the variation in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation system.

[0068] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0069] 1. This invention provides a method and system for optimizing the operation and scheduling of a tower-type concentrated solar power (CSP) plant, comprising: acquiring parameters of the tower-type CSP plant; inputting the parameters of the tower-type CSP plant into a pre-constructed optimization model for the combined operation of the tower-type CSP plant to calculate the operating status, power generation, and number of units started and stopped for a set time period; and obtaining an optimized scheduling scheme for the tower-type CSP plant for the set time period based on the operating status, power generation, and number of units started and stopped for the set time period. The optimization model for the combined operation of the tower-type CSP plant includes constraints determined by limiting the amount of heat wastage caused by variations in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation systems. This invention can accurately describe the operating characteristics and start-up / shutdown status of the tower-type CSP plant after aggregation, thereby enabling accurate and rapid production simulation calculations.

[0070] 2. This invention takes into account the waste heat generated after the polymerization of the tower solar thermal power plant due to the limitation of the range of heat input to the collector; in addition, by constraining the operating state, start-up state and shutdown state at the same time period, it avoids the phenomenon of multiple solutions to the start-up and shutdown results of the polymerization solar thermal power plant during the production simulation process. Attached Figure Description

[0071] Figure 1 This is a schematic diagram of an optimized scheduling method for the combined operation of a tower-type solar thermal power plant according to the present invention;

[0072] Figure 2 This is a schematic diagram of the operating principle of a tower-type solar thermal power plant according to the present invention;

[0073] Figure 3 This is a schematic diagram of a tower-type solar thermal power plant aggregation operation optimization scheduling system according to the present invention. Detailed Implementation

[0074] Example 1

[0075] To address the problem of inaccurate calculations in existing technologies for tower solar thermal power plant production simulations due to the failure to consider heat waste from collectors, this invention proposes a method for optimizing the operation and scheduling of tower solar thermal power plants. Figure 1 As shown, it includes:

[0076] Step 1: Obtain the parameters of the tower solar thermal power plant;

[0077] Step 2: Input the parameters of the tower solar thermal power plant into the pre-built tower solar thermal power plant aggregation operation optimization model for calculation to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set time period.

[0078] Step 3: Based on the operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant during the set time period, obtain the optimized scheduling scheme for the tower solar thermal power plant during the set time period.

[0079] The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of heat waste generated by the variation in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation system.

[0080] In step 1, the parameters of the tower solar thermal power plant obtained include: the number of power plants, the operating parameters of the generator sets, the operating parameters of the thermal storage system, and the theoretical maximum heat collection of the mirror field.

[0081] In step 2, the parameters of the tower solar thermal power plant obtained in step 1 are used to construct the parameters of the tower solar thermal power plant. Considering the waste heat caused by the limitation of the input heat range of the collectors, and the constraints determined by the decoupled operation characteristics of the tower solar thermal power plant's mirror field heat collection and power generation system, a combined operation optimization model of the tower solar thermal power plant is constructed. This model is then used to calculate the operating status, power generation, and number of units started and stopped for a set time period. The operating principle of the tower solar thermal power plant is as follows: Figure 2 As shown.

[0082] The optimized operation model for the tower solar thermal power plant includes: operational constraints for the thermal storage system, operational constraints for thermoelectric coupling, and operational constraints for the power generation system.

[0083] The operating constraints of the thermal storage system are constructed using the theoretical maximum heat collection of the polymer tower solar thermal power plant during a set period, the heat waste caused by the rate of change of the heat input to the collector, the heat waste caused by the limitations of the thermal storage tank and the power generation capacity of the turbine, the heat storage tank, the heat input of the collector in the previous period of the set period, the upper limit of the change of the heat input to the collector, the upper limit of the heat storage tank and the heat release, the heat storage tank, the heat storage tank in the previous period, the heat dissipation coefficient of the thermal storage tank of a single tower solar thermal power plant, the heat release of the thermal storage tank, the heat storage efficiency and heat release efficiency of the thermal storage tank of a single tower solar thermal power plant, and the upper and lower limits of the capacity of the thermal storage tank of a single tower solar thermal power plant.

[0084] Heat balance constraint: describes the heat transfer relationship between the heat collected by the mirror field of the polymer tower solar thermal power plant and the heat discarded by the polymer power plant and the heat stored in the storage tank, and is determined by the following formula:

[0085]

[0086] In the formula, N represents the number of tower solar thermal power plants, and j represents the number of the tower solar thermal power plant. Let represent the theoretical maximum heat collection of the j-th tower solar thermal power plant mirror field during time period t, and be the input parameter. Let represent the waste heat generated by the j-th tower solar thermal power plant during time period t due to the limitation on the rate of change of the heat input to the collector, and it is an optimization variable; This represents the waste heat generated by a polymer tower solar thermal power plant during time period t due to limitations in heat storage tanks and turbine power generation capacity; it is an optimization variable. The heat storage capacity of the storage tank in the polymer tower solar thermal power plant during time period t represents the heat storage capacity of the power storage tank, which is the optimization variable.

[0087] The collector input heat constraint describes the relationship between the heat collected by the mirror field and the heat input and waste of the collector in a polymer tower solar thermal power plant, and is determined by the following formula:

[0088]

[0089] In the formula, Let represent the heat input to the collector of the j-th tower solar thermal power plant during time period t, which is the optimization variable.

[0090] The collector input heat ramp-up capability constraint describes the maximum variation in the collector input heat between adjacent time periods, and is determined by the following formula:

[0091]

[0092] In the formula, Δt is the length of a unit time period; h represents the heat input to the collector of the j-th tower solar thermal power plant during time period t-1, and is an optimization variable; SDThis represents the upper limit of the variation in the input heat of a single tower solar thermal power plant collector within a unit of time period; it is the input parameter.

[0093] Heat storage and release constraints: This describes the range of heat storage and heat release in the heat storage tank of a polymer tower solar thermal power plant per unit time period. The mathematical formula is as follows:

[0094]

[0095] In the formula, This indicates the amount of heat stored in a single tower-type solar thermal power plant's storage tank during a set time period. This represents the maximum heat release capacity of a single tower solar thermal power plant during a set time period; it is an input parameter.

[0096] Thermal constraint of the storage tank: This describes the relationship between the heat stored in the storage tank of a polymer tower solar thermal power plant in adjacent time periods and the heat stored and released per unit time period, determined by the following formula:

[0097]

[0098] In the formula, E t E represents the amount of heat stored in the thermal storage tank of a polymer tower solar thermal power plant during time period t, and is the optimization variable; t-1 γ represents the heat stored in the polymer tower solar thermal power plant during the t-1 time period, and is the optimization variable; γ represents the dissipation coefficient of a single tower solar thermal power plant heat storage tank, and is the input parameter. The heat released by the heat storage tank in the polymer tower solar thermal power plant during time period t is the optimization variable; η ch The thermal storage efficiency of a single tower-type solar thermal power plant's thermal storage tank is represented by η, which is an input parameter. dc The heat release efficiency of a single tower-type solar thermal power plant storage tank is represented by the input parameter.

[0099] Thermal storage tank capacity constraint: describes the range of heat storage capacity of the thermal storage tank in a polymer tower solar thermal power plant, and is determined by the following formula:

[0100] N·E min ≤E t ≤N·E max

[0101] In the formula, E max E represents the upper limit of the thermal storage tank capacity of a single tower solar thermal power plant. min This indicates the lower limit of the capacity of the thermal storage tank in a single tower solar thermal power plant.

[0102] The thermoelectric coupling operation constraint is constructed using the power generation capacity of the polymer tower solar thermal power plant, the thermoelectric conversion efficiency coefficient, and the heat required for turbine power generation during a set period.

[0103] Thermoelectric coupling constraint: describes the coupling relationship between the power generation of a polymer tower solar thermal power plant and the heat required for power generation by the steam turbine, and is determined by the following formula:

[0104]

[0105] In the formula, P t β represents the power generation of the polymer tower solar thermal power plant during time period t, and is the optimization variable; β represents the thermoelectric conversion efficiency coefficient of the tower solar thermal power plant, and is the input parameter. The heat required for the turbine of the polymer tower solar thermal power plant to generate electricity during time period t is represented as the optimization variable.

[0106] Steam turbine power generation heat constraint: This describes the relationship between the heat release of the thermal storage tank in a polymer tower solar thermal power plant and the heat required for steam turbine power generation and the heat required for turbine start-up. The mathematical formula is as follows:

[0107]

[0108] In the formula, E su This represents the heat required to start up a single tower-type solar thermal power plant turbine, and is an input parameter; U t The number of units in a polymer tower solar thermal power plant started during time period t is used as an optimization variable.

[0109] The power generation system operation constraints are constructed using the number of turbines operating in a polymer tower solar thermal power plant during a set period, the maximum and minimum technical output of a single tower solar thermal power plant, the number of turbines operating in the previous period, and the constraints on start-up and shutdown status.

[0110] The number of operating turbines in a solar thermal power plant is limited by the following formula:

[0111] 0≤S t ≤N

[0112] In the formula, S t The number of turbines operating in the polymer tower solar thermal power plant during time period t is an integer optimization variable.

[0113] Power generation upper and lower limits: These limits restrict the power generation range of the polymer tower solar thermal power plant, and are determined by the following formula:

[0114] S t ·p min ≤P t ≤S t ·p max

[0115] In the formula, p max p represents the maximum technical output of a single tower solar thermal power plant. minThis represents the minimum technical output of a single tower-type solar thermal power plant, and is an input parameter.

[0116] Start-up and shutdown unit constraint: This restricts the range of variation in the number of start-up and shutdown units in a polymer tower solar thermal power plant, and is determined by the following formula:

[0117] Z t ·N≤S t -S t-1 ≤Y t ·N

[0118] In the formula, S t-1 Y represents the number of turbines operating in a solar thermal power plant during time period t-1, and is an integer optimization variable; t and Z t Both are 0-1 integer variables, representing the start-up and shutdown states of the polymer tower solar thermal power plant during time period t, respectively. When Y t When Z = 1, it indicates that the polymer tower solar thermal power plant started up during time period t. t =1 indicates that the polymer tower solar thermal power plant shut down during time period t.

[0119] Start-up and shutdown constraints: These restrict polymer tower solar thermal power plants from starting up and shutting down simultaneously, and are determined by the following formula:

[0120] Y t +Z t ≤1

[0121] In the formula, Y t and Z t Both are 0-1 integer variables, representing the start-up and shutdown states of the polymer tower solar thermal power plant during time period t, respectively. When Y t When Z = 1, it indicates that the polymer tower solar thermal power plant started up during time period t. t =1 indicates that the polymer tower solar thermal power plant shut down during time period t.

[0122] Start-up Unit Constraint: Used to calculate the number of units in a polymer tower solar thermal power plant to be started in each time period, determined by the following formula:

[0123]

[0124] In the formula, U t S represents the number of units started up in a polymer tower solar thermal power plant during time period t; t This represents the number of turbines operating in a solar thermal power plant during time period t; S t-1 This indicates the number of turbines operating in a solar thermal power plant during time period t-1.

[0125] Among them, when the number of operating units of the polymer tower solar thermal power plant decreases during time period t (S t -St-1 <0), Number of machines started U t The value is 0; when the number of operating units of the polymer tower solar thermal power plant increases or remains unchanged during time period t (S t -S t-1 ≥0), Number of machines started U t The value is S t -S t-1 .

[0126] Obviously, the above equation is a nonlinear constraint form and cannot be directly used for optimization. Therefore, it is linearized by introducing intermediate calculation variables.

[0127] Preferably, the constraint on the number of machines started within a set time period is linearized and determined by the following formula:

[0128]

[0129] In the formula, V t The continuous optimization variable introduced for the intermediate calculation process, x t Integer variables of 0-1 introduced for intermediate calculation processes.

[0130] Among them, when the number of polymer tower solar thermal units in operation during time period t remains unchanged or increases (S t -S t-1 ≥0), according to the constraints of the above formula, we can obtain: x t =1,U t =V t =S t -S t-1 When the number of operating solar thermal power units in time period t decreases (S t -S t-1 <0), according to the constraints of the above formula, we can obtain: x t =0, U t =V t =0.

[0131] In step 3, the parameters of the tower solar thermal power plant are calculated using the optimized operation model of the tower solar thermal power plant to obtain the operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant during a set period. Based on the calculated operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant, an optimized scheduling scheme for the tower solar thermal power plant during the set period is generated. Then, the tower solar thermal power plant is optimized and scheduled during the set period based on the optimized scheduling scheme.

[0132] Example 2

[0133] Based on the same inventive concept, this invention also provides an optimized scheduling system for tower-type polymeric solar thermal power plants, such as... Figure 3 As shown, it includes:

[0134] The parameter acquisition module is used to acquire parameters of the tower solar thermal power plant.

[0135] The calculation module is used to input the parameters of the tower solar thermal power plant into a pre-built tower solar thermal power plant aggregation operation optimization model for calculation, so as to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set period of time.

[0136] The scheme formulation module is used to obtain an optimized scheduling scheme for the tower solar thermal power plant for the set time period based on the operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant for the set time period.

[0137] The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of heat waste generated by the variation in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation system.

[0138] The parameter acquisition module is used to acquire parameters of the tower solar thermal power plant, including: the number of power plants, generator set operating parameters, thermal storage system operating parameters, and the theoretical maximum heat collection of the mirror field.

[0139] The calculation module is used to construct the parameters of the tower solar thermal power plant based on the parameters obtained from the parameter acquisition module. It considers the waste heat caused by the limitation of the input heat range of the collectors, and the constraints determined by the decoupled operation characteristics of the tower solar thermal power plant's mirror field heat collection and power generation system. After constructing the optimized operation model of the tower solar thermal power plant, it calculates the operating status, power generation, and number of units started and stopped for a set time period. The operating principle of the tower solar thermal power plant is as follows: Figure 2 As shown.

[0140] The optimized operation model for the tower solar thermal power plant includes: operational constraints for the thermal storage system, operational constraints for thermoelectric coupling, and operational constraints for the power generation system.

[0141] The operating constraints of the thermal storage system are constructed using the theoretical maximum heat collection of the polymer tower solar thermal power plant during a set period, the heat waste caused by the rate of change of the heat input to the collector, the heat waste caused by the limitations of the thermal storage tank and the power generation capacity of the turbine, the heat storage tank, the heat input of the collector in the previous period of the set period, the upper limit of the change of the heat input to the collector, the upper limit of the heat storage tank and the heat release, the heat storage tank, the heat storage tank in the previous period, the heat dissipation coefficient of the thermal storage tank of a single tower solar thermal power plant, the heat release of the thermal storage tank, the heat storage efficiency and heat release efficiency of the thermal storage tank of a single tower solar thermal power plant, and the upper and lower limits of the capacity of the thermal storage tank of a single tower solar thermal power plant.

[0142] Heat balance constraint: describes the heat transfer relationship between the heat collected by the mirror field of the polymer tower solar thermal power plant and the heat discarded by the polymer power plant and the heat stored in the storage tank, and is determined by the following formula:

[0143]

[0144] In the formula, N represents the number of tower solar thermal power plants, and j represents the number of the tower solar thermal power plant. Let represent the theoretical maximum heat collection of the j-th tower solar thermal power plant mirror field during time period t, and be the input parameter. Let represent the waste heat generated by the j-th tower solar thermal power plant during time period t due to the limitation on the rate of change of the heat input to the collector, and it is an optimization variable; This represents the waste heat generated by a polymer tower solar thermal power plant during time period t due to limitations in heat storage tanks and turbine power generation capacity; it is an optimization variable. The heat storage capacity of the storage tank in the polymer tower solar thermal power plant during time period t represents the heat storage capacity of the power storage tank, which is the optimization variable.

[0145] The collector input heat constraint describes the relationship between the heat collected by the mirror field and the heat input and waste of the collector in a polymer tower solar thermal power plant, and is determined by the following formula:

[0146]

[0147] In the formula, Let represent the heat input to the collector of the j-th tower solar thermal power plant during time period t, which is the optimization variable.

[0148] The collector input heat ramp-up capability constraint describes the maximum variation in the collector input heat between adjacent time periods, and is determined by the following formula:

[0149]

[0150] In the formula, Δt is the length of a unit time period; h represents the heat input to the collector of the j-th tower solar thermal power plant during time period t-1, and is an optimization variable; SD This represents the upper limit of the variation in the input heat of a single tower solar thermal power plant collector within a unit of time period; it is the input parameter.

[0151] Heat storage and release constraints: This describes the range of heat storage and heat release in the heat storage tank of a polymer tower solar thermal power plant per unit time period. The mathematical formula is as follows:

[0152]

[0153] In the formula, This indicates the amount of heat stored in a single tower-type solar thermal power plant's storage tank during a set time period. This represents the maximum heat release capacity of a single tower solar thermal power plant during a set time period; it is an input parameter.

[0154] Thermal constraint of the storage tank: This describes the relationship between the heat stored in the storage tank of a polymer tower solar thermal power plant in adjacent time periods and the heat stored and released per unit time period, determined by the following formula:

[0155]

[0156] In the formula, E t E represents the amount of heat stored in the thermal storage tank of a polymer tower solar thermal power plant during time period t, and is the optimization variable; t-1 γ represents the heat stored in the polymer tower solar thermal power plant during the t-1 time period, and is the optimization variable; γ represents the dissipation coefficient of a single tower solar thermal power plant heat storage tank, and is the input parameter. The heat released by the heat storage tank in the polymer tower solar thermal power plant during time period t is the optimization variable; η ch The thermal storage efficiency of a single tower-type solar thermal power plant's thermal storage tank is represented by η, which is an input parameter. dc The heat release efficiency of a single tower-type solar thermal power plant storage tank is represented by the input parameter.

[0157] Thermal storage tank capacity constraint: describes the range of heat storage capacity of the thermal storage tank in a polymer tower solar thermal power plant, and is determined by the following formula:

[0158] N·E min ≤E t ≤N·E max

[0159] In the formula, E max E represents the upper limit of the thermal storage tank capacity of a single tower solar thermal power plant. min This indicates the lower limit of the capacity of the thermal storage tank in a single tower solar thermal power plant.

[0160] The thermoelectric coupling operation constraint is constructed using the power generation capacity of the polymer tower solar thermal power plant, the thermoelectric conversion efficiency coefficient, and the heat required for turbine power generation during a set period.

[0161] Thermoelectric coupling constraint: describes the coupling relationship between the power generation of a polymer tower solar thermal power plant and the heat required for power generation by the steam turbine, and is determined by the following formula:

[0162]

[0163] In the formula, P t β represents the power generation of the polymer tower solar thermal power plant during time period t, and is the optimization variable; β represents the thermoelectric conversion efficiency coefficient of the tower solar thermal power plant, and is the input parameter. The heat required for the turbine of the polymer tower solar thermal power plant to generate electricity during time period t is represented as the optimization variable.

[0164] Steam turbine power generation heat constraint: This describes the relationship between the heat release of the thermal storage tank in a polymer tower solar thermal power plant and the heat required for steam turbine power generation and the heat required for turbine start-up. The mathematical formula is as follows:

[0165]

[0166] In the formula, E su This represents the heat required to start up a single tower-type solar thermal power plant turbine, and is an input parameter; U t The number of units in a polymer tower solar thermal power plant started during time period t is used as an optimization variable.

[0167] The power generation system operation constraints are constructed using the number of turbines operating in a polymer tower solar thermal power plant during a set period, the maximum and minimum technical output of a single tower solar thermal power plant, the number of turbines operating in the previous period, and the constraints on start-up and shutdown status.

[0168] The number of operating turbines in a solar thermal power plant is limited by the following formula:

[0169] 0≤S t ≤N

[0170] In the formula, S t The number of turbines operating in the polymer tower solar thermal power plant during time period t is an integer optimization variable.

[0171] Power generation upper and lower limits: These limits restrict the power generation range of the polymer tower solar thermal power plant, and are determined by the following formula:

[0172] S t ·p min ≤P t ≤S t ·p max

[0173] In the formula, p max p represents the maximum technical output of a single tower solar thermal power plant. min This represents the minimum technical output of a single tower-type solar thermal power plant, and is an input parameter.

[0174] Start-up and shutdown unit constraint: This restricts the range of variation in the number of start-up and shutdown units in a polymer tower solar thermal power plant, and is determined by the following formula:

[0175] Z t ·N≤S t -S t-1 ≤Y t ·N

[0176] In the formula, S t-1 Y represents the number of turbines operating in a solar thermal power plant during time period t-1, and is an integer optimization variable; t and Zt Both are 0-1 integer variables, representing the start-up and shutdown states of the polymer tower solar thermal power plant during time period t, respectively. When Y t When Z = 1, it indicates that the polymer tower solar thermal power plant started up during time period t. t =1 indicates that the polymer tower solar thermal power plant shut down during time period t.

[0177] Start-up and shutdown constraints: These restrict polymer tower solar thermal power plants from starting up and shutting down simultaneously, and are determined by the following formula:

[0178] Y t +Z t ≤1

[0179] In the formula, Y t and Z t Both are 0-1 integer variables, representing the start-up and shutdown states of the polymer tower solar thermal power plant during time period t, respectively. When Y t When Z = 1, it indicates that the polymer tower solar thermal power plant started up during time period t. t =1 indicates that the polymer tower solar thermal power plant shut down during time period t.

[0180] Start-up Unit Constraint: Used to calculate the number of units in a polymer tower solar thermal power plant to be started in each time period, determined by the following formula:

[0181]

[0182] In the formula, U t S represents the number of units started up in a polymer tower solar thermal power plant during time period t; t This represents the number of turbines operating in a solar thermal power plant during time period t; S t-1 This indicates the number of turbines operating in a solar thermal power plant during time period t-1.

[0183] Among them, when the number of operating units of the polymer tower solar thermal power plant decreases during time period t (S t -S t-1 <0), Number of machines started U t The value is 0; when the number of operating units of the polymer tower solar thermal power plant increases or remains unchanged during time period t (S t -S t-1 ≥0), Number of machines started U t The value is S t -S t-1 .

[0184] Obviously, the above equation is a nonlinear constraint form and cannot be directly used for optimization. Therefore, it is linearized by introducing intermediate calculation variables.

[0185] Preferably, the constraint on the number of machines started within a set time period is linearized and determined by the following formula:

[0186]

[0187] In the formula, V t The continuous optimization variable introduced for the intermediate calculation process, x t Integer variables of 0-1 introduced for intermediate calculation processes.

[0188] Among them, when the number of polymer tower solar thermal units in operation during time period t remains unchanged or increases (S t -S t-1 ≥0), according to the constraints of the above formula, we can obtain: x t =1,U t =V t =S t -S t-1 When the number of operating solar thermal power units in time period t decreases (S t -S t-1 <0), according to the constraints of the above formula, we can obtain: x t =0, U t =V t =0.

[0189] The scheme formulation module is used to calculate the parameters of the tower solar thermal power plant using the tower solar thermal power plant aggregation operation optimization model in the calculation module, to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant in a set period, and to generate an optimized scheduling scheme for the aggregation tower solar thermal power plant in the set period based on the calculated operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant, and then to optimize the scheduling of the tower solar thermal power plant in the set period based on the optimized scheduling scheme.

[0190] Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0191] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0192] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0193] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0194] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0195] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for optimized scheduling of aggregated operation of a tower solar thermal power plant, characterized in that, include: Obtain the parameters of the tower solar thermal power plant; The parameters of the tower solar thermal power plant are input into a pre-built tower solar thermal power plant aggregation operation optimization model for calculation, so as to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set period. Based on the operating status, power generation, and number of start-up and shutdown units of the tower solar thermal power plant during the specified time period, an optimized scheduling scheme for the tower solar thermal power plant during the specified time period is obtained. The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of waste heat generated by the variation in the input heat of the collector and the decoupled operation characteristics of the mirror field heat collection and power generation system. The construction of the optimization model for the combined operation of the tower solar thermal power plant includes: Construct an objective function with the goal of minimizing overall operating cost; The operating constraints of the thermal energy storage system are constructed based on the theoretical maximum heat collection of the polymer tower solar thermal power plant during a set period, the heat waste caused by the rate of change of the heat input to the collector, the heat waste caused by the heat storage tank and the power generation capacity limitation of the steam turbine, the heat storage tank, the heat input of the collector in the previous period, the upper limit of the change of the heat input to the collector, the upper limit of the heat storage tank and the heat release, the heat storage tank, the heat storage tank in the previous period, the heat dissipation coefficient of the heat storage tank of a single tower solar thermal power plant, the heat release of the heat storage tank, the heat storage efficiency and heat release efficiency of the heat storage tank of a single tower solar thermal power plant, and the upper and lower limits of the capacity of the heat storage tank of a single tower solar thermal power plant. Thermoelectric coupling operation constraints are constructed based on the power generation of the polymer tower solar thermal power plant during a set period, the thermoelectric conversion efficiency coefficient, and the heat required for turbine power generation. The operating constraints of the power generation system are constructed based on the number of turbines operating in a concentrated tower solar thermal power plant during a set period, the maximum and minimum technical output of a single tower solar thermal power plant, the number of turbines operating in the previous period, and the start-up and shutdown status constraints. An operation optimization model for a polymer tower solar thermal power plant is constructed based on the objective function, the thermal storage system operation constraints, the thermoelectric coupling operation constraints, and the power generation system operation constraints.

2. The method according to claim 1, characterized in that, The operating constraints of the thermal storage system include: heat balance constraints at a set time, heat input constraints of the collector, heat input ramp-up constraints of the collector, heat storage / release constraints, heat balance constraints of the thermal storage tank, and capacity constraints of the thermal storage tank.

3. The method according to claim 2, characterized in that, The heat balance constraint at the set time is determined by the following formula: In the formula, The number of tower-type solar thermal power plants. This is the designation for a tower-type solar thermal power plant. Indicates the first A tower-type solar thermal power plant mirror field in The theoretical maximum heat collection during the time period Indicates the first A tower solar thermal power plant in The heat wasted during a given period due to the limited rate of change of the heat input to the collector. This indicates that the polymer tower solar thermal power plant is in The heat wastage generated during the period due to limitations in thermal storage tanks and turbine power generation capacity. This indicates that the polymer tower solar thermal power plant is in The amount of heat stored in the thermal storage tank during the specified time period.

4. The method according to claim 3, characterized in that, The heat input constraint of the solar collector at a set time is determined by the following formula: In the formula, Indicates the first A tower solar thermal power plant in The amount of heat input to the solar collector during a given time period.

5. The method according to claim 4, characterized in that, The constraint on the collector's input heat ramp-up capability at a set time is determined by the following formula: In the formula, The length of a unit time period Indicates the first A tower solar thermal power plant in The heat input to the solar collector during the time period, This indicates the upper limit of the variation in the heat input to a single tower solar thermal power plant collector within a unit of time period.

6. The method according to claim 5, characterized in that, The heat storage / release constraint at the set time is determined by the following formula: In the formula, This indicates that the polymer tower solar thermal power plant is in The heat released by the thermal storage tank during the period of time This indicates the amount of heat stored in a single tower-type solar thermal power plant's storage tank during a set time period. This indicates the upper limit of heat release for a single tower solar thermal power plant during a set period.

7. The method according to claim 6, characterized in that, The thermal balance constraint of the thermal storage tank at a set time is determined by the following formula: In the formula, This indicates that the thermal storage tank of the polymer tower solar thermal power plant is in The heat stored during the period This indicates that the polymer tower solar thermal power plant is in The heat stored during the period This represents the dissipation coefficient of a single tower-type solar thermal power plant's thermal storage tank. This indicates the thermal storage efficiency of a single tower-type solar thermal power plant's thermal storage tank. This indicates the heat release efficiency of a single tower-type solar thermal power plant's heat storage tank.

8. The method according to claim 7, characterized in that, The capacity constraint of the thermal storage tank at the set time is determined by the following formula: In the formula, This indicates the upper limit of the thermal storage tank capacity of a single tower-type solar thermal power plant. This indicates the lower limit of the capacity of the thermal storage tank in a single tower solar thermal power plant.

9. The method according to claim 1, characterized in that, The thermoelectric coupling operation constraints include: thermoelectric coupling constraints and turbine power generation heat constraints at a set time.

10. The method according to claim 9, characterized in that, The thermoelectric coupling constraint at the set time is determined by the following formula: In the formula, This indicates that the polymer tower solar thermal power plant is in Power generation during the period This represents the thermoelectric conversion efficiency coefficient of a tower-type solar thermal power plant. This indicates that the turbine of the polymer tower solar thermal power plant is in The amount of heat required to generate electricity during a given period.

11. The method according to claim 10, characterized in that, The turbine power generation heat constraint at a set time includes: In the formula, This indicates that the polymer tower solar thermal power plant is in The heat released by the thermal storage tank during the period of time This represents the heat required to start up the turbine of a single tower-type solar thermal power plant. This indicates that the polymer tower solar thermal power plant is in Number of machines started during a given time period.

12. The method according to claim 1, characterized in that, The power generation system operation constraints include: the number of turbines in operation during a set time period, upper and lower limits of power generation, the number of turbines started and stopped, the start and stop status constraints, and the number of turbines started.

13. The method according to claim 12, characterized in that, The constraint on the number of steam turbines operating within a set time period is determined by the following formula: In the formula, This indicates that the polymer tower solar thermal power plant is in The number of steam turbines in operation during a given time period.

14. The method according to claim 13, characterized in that, The upper and lower limits of power generation during the set time period are determined by the following formula: In the formula, This indicates the maximum technical output of a single tower solar thermal power plant. This indicates the minimum technical output of a single tower-type solar thermal power plant.

15. The method according to claim 14, characterized in that, The constraint on the number of machines to be started and stopped within a set time period is determined by the following formula: In the formula, This indicates that the polymer tower solar thermal power plant is in Number of steam turbines operating during a given period This indicates that the polymer tower solar thermal power plant is in Startup status during a given time period. This indicates that the polymer tower solar thermal power plant is in The downtime status during a specific period; The start / stop state constraints are determined by the following formula: In the formula, and All are 0-1 integer variables, when At that time, it indicates that the polymer tower solar thermal power plant is in The machine was started during that period. This indicates that the polymer tower solar thermal power plant is in The system was down for a period of time.

16. The method according to claim 15, characterized in that, The constraint on the number of machines to be started within a set time period is determined by the following formula: In the formula, For polymer tower solar thermal power plants Number of machines started during a given time period; The constraint on the number of machines started within a set time period is linearized and determined by the following formula: In the formula, Continuous optimization variables introduced for intermediate calculation processes. Integer variables of 0-1 introduced for intermediate calculation processes; in, The value can be 0 or 1.

17. A tower-type solar thermal power plant aggregation operation optimization scheduling system, used in the method described in claim 1, characterized in that, include: The parameter acquisition module is used to acquire parameters of the tower solar thermal power plant. The calculation module is used to input the parameters of the tower solar thermal power plant into a pre-built tower solar thermal power plant aggregation operation optimization model for calculation, so as to obtain the operating status, power generation and number of start-up and shutdown of the tower solar thermal power plant for a set period of time. The scheme formulation module is used to obtain an optimized scheduling scheme for the tower solar thermal power plant for the set time period based on the operating status, power generation and number of start-up and shutdown units of the tower solar thermal power plant for the set time period. The optimized operation model for the tower solar thermal power plant includes constraints determined by limiting the amount of heat waste generated by the variation in the input heat of the collectors and the decoupled operation characteristics of the mirror field heat collection and power generation system.

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