Power grid dispatching method with participation of polycrystalline silicon production industrial load and related products

Abstract

The invention discloses a polycrystalline silicon production industrial load participated power grid dispatching method and related products. According to the method, a target function is constructed according to the maximum adjustable capacity of a polycrystalline silicon factory within a preset time, and constraint conditions comprise a material balance constraint, an electric quantity balance constraint, a storage constraint, a yield constraint, a purification task starting constraint and a reduction task starting constraint. The constraint conditions consider the coupling relationship of each link in the polycrystalline silicon production process, so that the formed economic dispatching model can improve the dispatching capability of the polycrystalline silicon production industrial load to the power grid. Moreover, in the construction process of the economic dispatching model, materials and processes are abstracted into states and tasks respectively by utilizing a state task network method in the polycrystalline silicon production process, and a state task network block diagram is drawn to describe the coupling relationship among the processes, so that the accuracy of the model can be ensured.

Description

Technical Field

[0001] The present application relates to the technical field of construction engineering, and in particular to a grid dispatching method and related products involving industrial loads in polysilicon production. Background Art

[0002] At present, grid dispatching mainly considers objects such as residential loads and commercial loads, while ignoring the adjustable potential of industrial loads. Industrial loads have the advantages of large power consumption, large number of transferable loads, centralized and easy transformation, and high participation enthusiasm, which meet the needs of load participation in grid dispatching. However, due to the complex operational problems in some aspects of current industrial loads, excessive load regulation may occur, which will have a great impact on the normal production of enterprises, resulting in limited willingness of industrial enterprises to participate. Therefore, how to further explore the flexible adjustment resources of industrial loads without affecting the normal production of enterprises as much as possible is an important issue that needs to be solved at present.

[0003] In the related art, the grid dispatching for the participation of the polysilicon production industrial load ignores the fact that each process in the polysilicon production process must be carried out in sequence according to a fixed production order, thereby reducing the dispatching capacity of the polysilicon production industrial load on the grid. Summary of the invention

[0004] In view of this, the present application provides a method and device for dispatching a power grid in which the polysilicon production industrial load participates, which can improve the dispatching capacity of the polysilicon production industrial load to the power grid.

[0005] In a first aspect, the present application provides a grid dispatching method in which a polysilicon production industrial load participates, comprising: Constructing an objective function based on the maximum adjustable capacity within a preset time of the polysilicon plant, wherein the maximum adjustable capacity is determined according to the estimated power consumption within the preset time of the polysilicon plant and the historical power consumption within the preset time; Constraints are constructed for the objective function, and the constraints include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints, and reduction task start constraints, so as to determine the grid dispatch result based on the objective function under the constraints.

[0006] Optionally, the objective function is expressed in the following formula: ; In the above formula, For polysilicon plants Adjustable capacity, is the absolute value, Indicates that the polysilicon plant is in the period The power consumption, is the historical electricity consumption of the polysilicon plant in each period under the time-of-use electricity price. The total number of scheduling periods included in the preset time.

[0007] Optionally, the material balance constraint is expressed in the following formula: ; In the above formula, Indicates state of things In the period Available quantity, Indicates state of things In the period Available quantity, Indicates the task Single core device in time period Generate or consume status items The number of Indicates the task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0008] Optionally, the power balance constraint is expressed in the following formula: ; In the above formula, Indicates that the polysilicon plant is in the period The power consumption, Indicates the task Single core device in time period The power consumption, Indicates the task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0009] Optionally, the storage constraint is expressed in the following formula: ; In the above formula, Indicates state of things The storage limit, Indicates state of things The storage limit of The production constraint is expressed in the following formula: ; In the above formula, Indicates the total number of scheduling periods included in the final product polysilicon at the preset time The number at the end, represents the initial quantity of the final product polysilicon at the beginning of the scheduling period, Indicates the production requirement of polysilicon within a preset time.

[0010] Optionally, the purification task start constraint is expressed in the following formula: ;

[0011] In the above formula, The distillation tower, the core power-consuming equipment for the purification task, is in the period The start-stop status, The distillation tower, the core power-consuming equipment for the purification task, is in the period The start-stop status, It indicates the minimum inventory of chlorosilane liquid in the storage tank at the beginning of the purification task. The time period of the chlorosilane liquid in the storage tank The stock, Indicates the synthesis furnace in the time period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0012] Optionally, the restore task start constraint is expressed in the following formula: ; In the above formula, The reduction furnace, the core power-consuming equipment of the reduction task, is in the period The start-stop status, The reduction furnace, the core power-consuming equipment of the reduction task, is in the period The start-stop status, Indicates the minimum stock of high-purity trichlorosilane in the storage tank at the beginning of the reduction task. The time period of trichlorosilane in the storage tank The stock, The total number of scheduling periods included in the preset time.

[0013] In a second aspect, the present application provides a power grid dispatching device for polysilicon production industrial load participation, comprising: A first construction module is used to construct an objective function based on a maximum adjustable capacity within a preset time of the polysilicon plant, wherein the maximum adjustable capacity is determined according to an estimated power consumption within a preset time of the polysilicon plant and a historical power consumption within a preset time; The second construction module is used to construct constraint conditions for the objective function, wherein the constraint conditions include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints and reduction task start constraints, so as to determine the power grid dispatching result based on the objective function under the constraint conditions.

[0014] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above method when the computer program is executed by a processor.

[0015] In a fourth aspect, the present application provides an execution device, comprising a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is used to execute the program in the memory, so that the execution device executes the above method.

[0016] In the method disclosed in the present application, the objective function is constructed based on the maximum adjustable capacity of the polysilicon plant within the preset time of the polysilicon plant, and the constraints include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints and reduction task start constraints. These constraints take into account the coupling relationship between each link in the polysilicon production process. The economic scheduling model thus formed can improve the scheduling capacity of the polysilicon production industrial load to the power grid.

[0017] At the same time, in the process of constructing this economic scheduling model, the state-task network method is used to abstract materials and processes into states and tasks respectively for the polysilicon production process, and a state-task network diagram is drawn to characterize the coupling relationship between the processes, which can ensure the accuracy of the economic scheduling model. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The technical solution and other beneficial effects of the present application will be made apparent by describing in detail the specific implementation methods of the present application in conjunction with the accompanying drawings.

[0019] Figure 1 An operational flow chart of a method for dispatching a power grid in which a polysilicon production industrial load participates is shown according to an exemplary embodiment.

[0020] Figure 2 A polysilicon production flow chart is shown according to an exemplary embodiment.

[0021] Figure 3 A block diagram of a state task network for polysilicon production provided by an exemplary embodiment is shown.

[0022] Figure 4 A block diagram of a power grid dispatching device in which a polysilicon production industrial load participates is shown according to an exemplary embodiment.

[0023] Figure 5 A block diagram of the execution device provided by an exemplary embodiment is shown. DETAILED DESCRIPTION

[0024] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below. The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of units in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between units can be electrical or other similar forms, which are not limited in this application. In addition, the units or sub-units described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed in multiple circuit units, and some or all of the units may be selected according to actual needs to achieve the purpose of the present application.

[0025] The "polysilicon production industrial load" mentioned in this text refers to the electricity load generated during the polysilicon production process.

[0026] Please refer to Figure 2 Now, the relevant process analysis of the polysilicon production process is elaborated in detail. The polysilicon production technology involved in this application mainly includes five processes, namely trichlorosilane synthesis, trichlorosilane purification, trichlorosilane reduction, tail gas recovery and silicon tetrachloride hydrogenation.

[0027] (1) Synthesis of trichlorosilane In the trichlorosilane synthesis process, hydrogen chloride and industrial silicon are synthesized at a temperature of 250-350°C in a trichlorosilane fluidized bed pressurized synthesis furnace, and a large amount of silicon tetrachloride by-product is produced, which is uniformly represented by synthetic tail gas. Considering the power consumption of each device, the core power-consuming equipment used in this process is the synthesis furnace (SF), the materials consumed are industrial silicon and hydrogen chloride, the raw materials for polysilicon production, and the materials generated are synthetic tail gas.

[0028] (2) Purification of trichlorosilane In the trichlorosilane purification process, chlorosilane liquid is separated and purified to obtain trichlorosilane and silicon tetrachloride with higher purity. Considering the power consumption of each equipment, the core power-consuming equipment used in this process is the distillation column (DC), the material consumed is chlorosilane liquid, and the materials generated are trichlorosilane and silicon tetrachloride.

[0029] (3) Trichlorosilane reduction The trichlorosilane reduction process puts hydrogen and trichlorosilane into the trichlorosilane reduction furnace to produce ultra-pure silicon. Considering the power consumption of each device, the core power-consuming equipment used in this process is the reduction furnace (RF), the materials consumed are trichlorosilane and hydrogen, and the materials produced are ultra-pure silicon and reduction tail gas.

[0030] (4) Hydrogenation of silicon tetrachloride In the silicon tetrachloride hydrogenation process, the purified silicon tetrachloride is put into a silicon tetrachloride thermal hydrogenation fluidized bed reactor to react with hydrogen to produce trichlorosilane. Considering the power consumption of each device, the core power-consuming equipment used in this process is the hydrogenation furnace (HF). The materials consumed are silicon tetrachloride and hydrogen, and the generated material is hydrogenation tail gas.

[0031] (5) Tail gas recovery The tail gas recovery process separates and purifies the tail gas of trichlorosilane synthesis, the tail gas of silicon tetrachloride hydrogenation and the tail gas of trichlorosilane reduction, and the recovered chlorosilane liquid, hydrogen chloride and hydrogen are reused as raw materials for each reactor. Considering the power consumption of each equipment, the core power-consuming equipment used in this process is the CDI recovery system (CDI), the materials consumed are the tail gas of synthesis, hydrogenation and reduction, and the materials generated are chlorosilane liquid, hydrogen chloride and hydrogen.

[0032] Please refer to Figure 3For the above-mentioned polysilicon production process, the state-task network method can be adopted, that is, the materials required for polysilicon production are abstracted as states, and the various processes included in the polysilicon production process are abstracted as tasks, and the interactive relationship between tasks and materials is reflected, so as to construct constraint conditions that reflect objective functions such as material quantity, production tasks, and equipment operation requirements.

[0033] like Figure 3 The state task network (STN) diagram shown in the figure contains two types of nodes, task nodes and state nodes, where task nodes represent processing operations, including schedulable tasks and unschedulable tasks; state nodes represent different states of materials, namely raw materials, intermediate products and final products; the two are connected by connecting arcs to represent the interactive relationship between tasks and states. That is, the state task network diagram abstracts the process and materials into tasks and states respectively, and describes the flow of materials.

[0034] The trichlorosilane synthesis task consumes raw materials industrial silicon and hydrogen chloride to generate intermediate product synthesis tail gas; the trichlorosilane purification task consumes intermediate product chlorosilane liquid to generate intermediate products trichlorosilane and silicon tetrachloride; the trichlorosilane reduction task consumes intermediate product trichlorosilane and raw material hydrogen to generate intermediate product reduction tail gas and the final product ultra-pure silicon; the tail gas recovery task consumes intermediate product synthesis, hydrogenation and reduction tail gas to generate intermediate product chlorosilane liquid, hydrogen chloride and hydrogen; the silicon tetrachloride hydrogenation task consumes intermediate product silicon tetrachloride and raw material hydrogen to produce intermediate product hydrogenation tail gas, thereby realizing a closed-loop production process of polysilicon.

[0035] Please refer to Figure 1 ,in Figure 1 A flowchart of a method for dispatching a power grid in which a polysilicon production industrial load participates is shown according to an exemplary embodiment. The method is implemented through steps 102-104.

[0036] In step 102, an objective function is constructed based on a maximum adjustable capacity within a preset time of the polysilicon plant, wherein the maximum adjustable capacity is determined according to an estimated power consumption within a preset time of the polysilicon plant and a historical power consumption within a preset time.

[0037] Here, the preset time is generally demonstrated as one day, but of course you can also choose one week or one month as needed.

[0038] As an exemplary specific example, the objective function is expressed in the following formula: (1) In the above formula (1), For polysilicon plants Adjustable capacity, is the absolute value, Indicates that the polysilicon plant is in the period The power consumption, is the historical electricity consumption of the polysilicon plant in each period under the time-of-use electricity price. The total number of scheduling periods included in the preset time.

[0039] In step 104, constraints are constructed for the objective function, and the constraints include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints, and reduction task start constraints, so as to determine the grid dispatch result based on the objective function under the constraints.

[0040] In discrete time representation, the equipment is started only at the end of each time period. As an exemplary specific example, the material balance constraint is expressed in the following formula: (2) In the above formula (2), Indicates state of things In the period Available quantity, Indicates state of things In the period Available quantity, Representation Task Single core device in time period Generate or consume status items The number of Representation Task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0041] In discrete time representation, the device is only started at the end of each time period. As an exemplary specific example, the power balance constraint is expressed in the following formula: (3) In the above formula (3), Indicates that the polysilicon plant is in the period The power consumption, Representation Task Single core device in time period The power consumption, Representation Task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0042] Since each task has a corresponding storage tank, it provides greater flexibility for the load transfer of the polysilicon plant, but its storage capacity is limited, so there is an upper limit constraint on the number of objects in each state; at the same time, in order to ensure safety and reliability, a minimum storage capacity must be set to cope with unexpected situations. As an exemplary specific example, the storage constraint is expressed in the following formula: (4) In the above formula (4), Indicates state of things The storage limit, Indicates state of things The storage limit.

[0043] The premise for polysilicon plants to participate in grid dispatching is that their normal production cannot be affected, so the daily output of the polysilicon plant must be guaranteed to meet the production requirements. As an exemplary specific example, the production constraint condition is expressed in the following formula: (5) In the above formula (5), Indicates the total number of scheduling periods included in the final product polysilicon at the preset time The number at the end, represents the initial quantity of the final product polysilicon at the beginning of the scheduling period, Indicates the production requirement of polysilicon within a preset time.

[0044] To ensure the safety of the production process, the purification (DC) task can only be started after the synthesis (SF) task has started and there is enough chlorosilane liquid in the storage tank. As an exemplary specific example, the purification task start constraint is expressed in the following formula: (6) (7) In the above formulas (6) and (7), The distillation tower, the core power-consuming equipment for the purification task, is in the period Start and stop status ( 1 means the distillation tower is in the period In working condition, 0 means the distillation tower is in the period is in shutdown state), The distillation tower, the core power-consuming equipment for the purification task, is in the period The start-stop status, It indicates the minimum inventory of chlorosilane liquid in the storage tank at the beginning of the purification task. The time period of the chlorosilane liquid in the storage tank The stock, Indicates the synthesis furnace in the time period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

[0045] In order to ensure the safety of the production process, high-purity trichlorosilane ( ) can only start the restoration (RF) task when the supply is sufficient. As an exemplary specific example, the restoration task startup constraint is expressed in the following formula: (8) In the above formula (8), The reduction furnace, the core power-consuming equipment of the reduction task, is in the period Start and stop status ( 1 means the reduction furnace is in the period In working condition, 0 means the reduction furnace is in shutdown state during period t). The reduction furnace, the core power-consuming equipment of the reduction task, is in the period The start-stop status, Indicates the minimum stock of high-purity trichlorosilane in the storage tank at the beginning of the reduction task. The time period of trichlorosilane in the storage tank The stock, The total number of scheduling periods included in the preset time.

[0046] It is easy for technical personnel in the relevant field to think of that the grid dispatching result is determined based on the objective function under the constraints. It can be based on a known source-load model or source-load-storage model (including but not limited to CN113452052A, CN115860274A and other technologies), and the adjustable values ​​such as the capacity of the polysilicon production industrial load can be determined according to the decision variables corresponding to the optimal solution of the objective function. The adjustable value is the grid dispatching result.

[0047] Please refer to Figure 4 , which shows a block diagram of the power grid dispatching device for the participation of polysilicon production industrial loads provided by the present application. The device 200 includes: A first constructing module 202 is used to construct an objective function based on minimizing the electricity purchase cost of the polysilicon plant within a preset time, wherein the objective function uses the operating status of each electrical device within the preset time as a decision variable; The second construction module 204 is used to construct constraint conditions for the objective function, wherein the constraint conditions include material balance constraint, power balance constraint, storage constraint, output constraint and rotary kiln continuous operation constraint, so as to determine the grid dispatch result based on the objective function under the constraint conditions.

[0048] Since the above methods have been discussed in detail, the specific implementation of the above modules will not be repeated here.

[0049] Next, an execution device provided by an embodiment of the present application is introduced. Figure 5 , Figure 5 This is a schematic diagram of a structure of an execution device provided in an embodiment of the present application. The execution device 300 can be specifically manifested as an autonomous driving vehicle, a mobile phone, a tablet, a laptop computer, a desktop computer, a monitoring data processing device, etc., which is not limited here. Figure 1 The functions of the execution device in the corresponding embodiment. Specifically, the execution device 300 includes: a receiver 301, a transmitter 302, a processor 303 and a memory 304 (wherein the number of the processor 303 in the execution device 300 can be one or more, Figure 5 In the example of FIG. 3 , the processor 303 may include an application processor 3031 and a communication processor 3032. In some embodiments of the present application, the receiver 301, the transmitter 302, the processor 303 and the memory 304 may be connected via a bus or other means.

[0050] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 303. A portion of the memory 304 may also include a non-volatile random access memory (NVRAM). The memory 304 stores processor and operation instructions, executable modules or data structures, or subsets thereof, or extended sets thereof, wherein the operation instructions may include various operation instructions for implementing various operations.

[0051] The processor 303 controls the operation of the execution device. In a specific application, the various components of the execution device are coupled together through a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus, and a status signal bus, etc. However, for the sake of clarity, various buses are referred to as bus systems in the figure.

[0052] The method disclosed in the above embodiment of the present application can be applied to the processor 303, or implemented by the processor 303. The processor 303 can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 303. The above processor 303 can be a general processor, a digital signal processor (digital signal processing, DSP), a microprocessor or a microcontroller, and can further include an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The processor 303 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 304, and the processor 303 reads the information in the memory 304 and completes the steps of the above method in combination with its hardware.

[0053] The receiver 301 can be used to receive input digital or character information and generate signal input related to the relevant settings and function control of the execution device. The transmitter 302 can be used to output digital or character information through the first interface; the transmitter 302 can also be used to send instructions to the disk group through the first interface to modify the data in the disk group; the transmitter 302 can also include a display device such as a display screen.

[0054] In the embodiment of the present application, the processor 303 is used to execute Figure 1 The specific manner in which the application processor 3031 in the processor 303 performs the above steps is the same as that in the present application. Figure 1 The corresponding method embodiments are based on the same concept, and the technical effects they bring are the same as those in this application. Figure 1 The corresponding method embodiments are the same. For specific contents, please refer to the description in the method embodiments shown above in this application, which will not be repeated here.

[0055] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present application should be covered within the protection scope of the present application.

Claims

1. A method for dispatching a power grid in which polysilicon industrial loads participate, characterized in that: include: Constructing an objective function based on the maximum adjustable capacity of the polysilicon plant within a preset time, wherein the maximum adjustable capacity is determined according to the estimated power consumption of the polysilicon plant within the preset time and the historical power consumption within the preset time; Constraints are constructed for the objective function, and the constraints include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints, and reduction task start constraints, so as to determine the grid dispatch result based on the objective function under the constraints.

2. The method according to claim 1, characterized in that The objective function is expressed in the following formula: ； In the above formula, For polysilicon plants Adjustable capacity, is the absolute value, Indicates that the polysilicon plant is in the period The power consumption, is the historical electricity consumption of the polysilicon plant in each period under the time-of-use electricity price. The total number of scheduling periods included in the preset time.

3. The method according to claim 1, characterized in that The material balance constraint is expressed in the following formula: ； In the above formula, Indicates state of things In the period Available quantity, Indicates state of things In the period Available quantity, Indicates the task Single core device in time period Generate or consume status items The number of Indicates the task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

4. The method according to claim 1, characterized in that: The power balance constraint is expressed in the following formula: ； In the above formula, Indicates that the polysilicon plant is in the period The power consumption, Indicates the task Single core device in time period The power consumption, Indicates the task In the period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

5. The method according to claim 1, characterized in that The storage constraint is expressed in the following formula: ； In the above formula, Indicates state of things The storage limit, Indicates state of things The storage limit of The production constraint is expressed in the following formula: ； In the above formula, Indicates the total number of scheduling periods included in the final product polysilicon at the preset time The number at the end, represents the initial quantity of the final product polysilicon at the beginning of the scheduling period, Indicates the production requirement of polysilicon within a preset time.

6. The method according to claim 1, characterized in that The purification task startup constraint is expressed in the following formula: ； In the above formula, The distillation tower, the core power-consuming equipment for the purification task, is in the period The start and stop status, The distillation tower, the core power-consuming equipment for the purification task, is in the period The start and stop status, It indicates the minimum inventory of chlorosilane liquid in the storage tank at the beginning of the purification task. The time period of the chlorosilane liquid in the storage tank The stock, Indicates the synthesis furnace in the time period The total number of core devices in working state, The total number of scheduling periods included in the preset time.

7. The method according to claim 1, characterized in that The restore task startup constraint is expressed in the following formula: ； In the above formula, The reduction furnace, the core power-consuming equipment of the reduction task, is in the period The start and stop status, The reduction furnace, the core power-consuming equipment of the reduction task, is in the period The start and stop status, Indicates the minimum stock of high-purity trichlorosilane in the storage tank at the beginning of the reduction task. The time period of trichlorosilane in the storage tank The stock, The total number of scheduling periods included in the preset time.

8. A power grid dispatching device for industrial loads in polysilicon production, characterized in that: include: A first construction module is used to construct an objective function based on a maximum adjustable capacity within a preset time of the polysilicon plant, wherein the maximum adjustable capacity is determined according to an estimated power consumption within a preset time of the polysilicon plant and a historical power consumption within a preset time; The second construction module is used to construct constraint conditions for the objective function, wherein the constraint conditions include material balance constraints, power balance constraints, storage constraints, output constraints, purification task start constraints and reduction task start constraints, so as to determine the power grid dispatching result based on the objective function under the constraint conditions.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An execution device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is configured to execute the program in the memory so that the execution device executes the method according to any one of claims 1 to 7.

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