Electric arc furnace-hot rolling load flexibility evaluation method for power grid dispatching

Abstract

The invention provides a power grid dispatching-oriented electric arc furnace-hot rolling load flexibility evaluation method, which comprises the following steps that: production information and power grid dispatching information are obtained, the production information comprises production task information and process information, and the process information comprises production parameters and electrical parameters of an electric arc furnace production process, a hot rolling production process and an intermediate production process; the power grid dispatching information comprises demand parameters of the external power grid for the flexible service; the production processes are modeled on the basis of the coupling relation between the production processes, the production information and the equipment operation boundary, production constraint conditions are obtained, and variables in the production constraint conditions comprise start-stop arrangement of the production processes, the operation power of an electric arc furnace and the load of hot rolling; and establishing an objective function based on the power grid dispatching information, and solving the variables based on the objective function and the constraint conditions to obtain a flexibility evaluation result. The method can improve the accuracy of the flexibility evaluation result of the short-process steelmaking on the external power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid dispatching, and particularly to an arc furnace - hot rolling load flexibility evaluation method for power grid dispatching. Background Art

[0002] With the increasing proportion of renewable energy generation, the problem of how to maintain the balance between power supply and demand in the power system has become a new issue, and new demand response flexibility resources are urgently needed for supplementation. Compared with long - process steelmaking, short - process steelmaking has less carbon emissions and a large proportion of electricity consumption, providing a good foundation for providing flexibility.

[0003] In the prior art, research has been carried out on the supply and demand of arc furnaces and hot rolling with rich flexibility resources in short - process steelmaking. The main method is to use a task - resource network (RTN) to schedule the time arrangement and generation sequence of multiple processes, and provide flexibility resources to the power grid by adjusting the supply and demand production arrangement time.

[0004] However, in actual production, short - process steelmaking has arc furnaces with adjustable power within a smelting batch and hot rolling loads with constant batch production loads. In the prior art, the specific production load characteristics of processes with adjustable flexibility, including arc furnaces and hot rolling loads, are considered first, and they are mostly simplified to keep the load constant within each smelting batch, which is quite different from actual production, resulting in inaccurate flexibility evaluation results of short - process steelmaking for the external power grid. Summary of the Invention

[0005] The present invention provides an arc furnace - hot rolling load flexibility evaluation method for power grid dispatching to solve the defect that the flexibility evaluation result of short - process steelmaking for the external power grid is inaccurate in the prior art, and to improve the accuracy of the flexibility evaluation result of short - process steelmaking for the external power grid.

[0006] The present invention provides an arc furnace - hot rolling load flexibility evaluation method for power grid dispatching, and the method includes: Obtain production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of arc furnace production processes, hot rolling production processes, and intermediate production processes, and the power grid dispatching information includes demand parameters of the external power grid for flexibility services; Based on the coupling relationship between production processes, the production information, and the equipment operation boundary, model the production processes to obtain production constraint conditions, where the variables in the production constraint conditions include the start - stop arrangements of production processes, the operating power of arc furnaces, and the loads of hot rolling. Establish an objective function based on the power grid dispatching information, solve the variables based on the objective function and the constraint conditions, and obtain a flexibility evaluation result, where the flexibility evaluation result includes the time-varying power level adjustment plan of the electric arc furnace, the start-stop plan of the hot rolling load, and the production plan of product batches.

[0007] According to a method for evaluating the flexibility of an electric arc furnace - hot rolling load for power grid dispatching provided by the present invention, the production constraint conditions include the operation constraint conditions of the electric arc furnace; the operation constraint conditions of the electric arc furnace include the power operation constraint of the electric arc furnace, the continuous adjustment operation constraint of the transformer, the dynamic process operation constraint of heat exchange, the average smelting speed operation constraint, and the total smelting amount operation constraint.

[0008] According to a method for evaluating the flexibility of an electric arc furnace - hot rolling load for power grid dispatching provided by the present invention, the production constraint conditions include the hot rolling batch production constraint conditions; the hot rolling batch production constraint conditions include the batch production characteristic constraint conditions, the batch production quantity operation constraint conditions, the batch production sequence constraint conditions, the batch production time constraint conditions, the production order constraint conditions, the hot rolling start-up time constraint conditions, the total production quantity constraint conditions of batch billets, the batch production material constraint conditions, and the remaining billet constraint conditions of the batch.

[0009] According to a method for evaluating the flexibility of an electric arc furnace - hot rolling load for power grid dispatching provided by the present invention, the objective function is to maximize the net income value, and the net income value includes the reward for the flexibility service provided by the power grid dispatching center and the operating cost.

[0010] According to a method for evaluating the flexibility of an electric arc furnace - hot rolling load for power grid dispatching provided by the present invention, the calculation formula for the operating cost is: ; Wherein, is the average power of the nth batch of the rolling mill m in the kth flexibility service period; is the power of the rolling mill m for producing product p, and P is the total amount of the product; is the production time of the nth batch of the rolling mill m for producing product p in the kth period, is the length of the flexibility service period.

[0011] The present invention also provides a device for evaluating the flexibility of an electric arc furnace - hot rolling load for power grid dispatching, and the device includes: An information acquisition module, configured to acquire production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and the intermediate production process, and the power grid dispatching information includes the demand parameters of the external power grid for the flexibility service; A modeling module, configured to model production processes based on the coupling relationship between production processes, the production information, and the equipment operation boundaries, so as to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling; A solving module, configured to establish an objective function based on the power grid dispatching information, solve the variables based on the objective function and the constraint conditions, and obtain a flexibility evaluation result, where the flexibility evaluation result includes a time-varying power level adjustment plan for the electric arc furnace, a start-stop plan for the hot rolling load, and a production plan for product batches.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching as described in any one of the above is implemented.

[0015] The method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching provided by the present invention models production processes based on the coupling relationship between production processes, equipment operation boundaries, and production information reflecting production tasks, process production parameters, and electrical parameters to obtain production constraint conditions. Taking the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling as variables, an objective function is established based on the power grid dispatching information, and the variables are solved based on the objective function and the production constraint conditions to obtain the flexibility evaluation result of short-process steelmaking. Since both the operating power of the electric arc furnace and the hot rolling load are variables, the dynamic consideration of the operating power of the electric arc furnace and the hot rolling load within a batch can be realized, which is more consistent with the actual production situation and improves the accuracy of the flexibility evaluation result of short-process steelmaking. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 It is a schematic flowchart of the arc furnace - hot rolling load flexibility evaluation method for power grid dispatching provided by the present invention.

[0018] Figure 2 It is an example diagram of the process interaction between the short - process steel mill and the external power grid in the arc furnace - hot rolling load flexibility evaluation method for power grid dispatching provided by the present invention.

[0019] Figure 3 It is a schematic structural diagram of the arc furnace - hot rolling load flexibility evaluation device for power grid dispatching provided by the present invention.

[0020] Figure 4 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0021] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts belong to the scope of protection of the present invention.

[0022] The following combines Figure 1-2 to describe the arc furnace - hot rolling load flexibility evaluation method for power grid dispatching provided by the present invention. As Figure 1 shown, the arc furnace - hot rolling load flexibility evaluation method for power grid dispatching provided by the present invention includes the steps: S110. Obtain production information and power grid dispatching information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters of the arc furnace production process, hot rolling production process, and intermediate production process. The power grid dispatching information includes demand parameters for flexibility services from the external power grid; S120. Based on the coupling relationship between production processes, production information, and equipment operation boundaries, model the production processes to obtain production constraint conditions. Among them, the variables in the production constraint conditions include the start - stop arrangements of production processes, the operating power of the arc furnace, and the load of hot rolling; S130. Establish an objective function based on the power grid dispatching information, solve the variables based on the objective function and constraint conditions, and obtain the arc furnace - hot rolling load flexibility evaluation result. The flexibility evaluation result includes the time - varying power grade adjustment plan of the arc furnace, the start - stop plan of the hot rolling load, and the product batch production plan.

[0023] The method provided by the present invention models the production processes based on the coupling relationship between production processes, the operating boundaries of equipment, and production information reflecting production tasks, process production parameters, and electrical parameters, to obtain production constraint conditions. Taking the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling as variables, a target function is established based on grid dispatching information, and the variables are solved based on the target function and production constraint conditions to obtain the flexibility evaluation result of the short-process steelmaking. Since both the operating power of the electric arc furnace and the hot rolling load are variables, it is possible to dynamically consider the operating power of the electric arc furnace and the hot rolling load within a batch, which is more consistent with the actual production situation and improves the accuracy of the flexibility evaluation result of short-process steelmaking.

[0024] The flexibility evaluation result of short-process steelmaking is used to measure the flexibility that short-process steelmaking can provide to the external power grid. The supply-demand interaction structure between the short-process steel plant and the power grid is as Figure 2 shown. The grid dispatching center issues flexibility requirements based on the actual state of the power grid. The steel plant dispatching center reports the maximum flexibility it can provide according to the actual production situation. The grid dispatching center then issues the actual concluded flexibility contract. The steel plant dispatching center schedules the batch production arrangements and power arrangements within its production system according to the actual concluded flexibility to meet the flexibility requirements. The method provided by the present invention aims to obtain the flexibility evaluation result reported by the steel plant dispatching center.

[0025] When implementing the method provided by the present invention, parameter collection is first carried out. The parameters to be collected include production information and grid dispatching information. Among them, the production information includes production task information, that is, the production tasks that the short-process steel plant needs to complete. The process information includes the production parameters and electrical parameters of the electric arc furnace production process, hot rolling production process, and intermediate production process, specifically including the upper and lower limits and power adjustment granularity of the on-load tap-changer of the electric arc furnace, the heat exchange parameters of the electric arc furnace, the production speed coefficient of the electric arc furnace, the transfer time of the intermediate process, the upper limit of the billet storage in the intermediate process, the fixed start time of hot rolling, the rolling speed of different products in hot rolling production, and the production load of different products, etc. The grid dispatching information includes the demand parameters for flexibility services from the external power grid, specifically including the requirements for the time granularity of the flexibility provided by the external large power grid, the start time of the flexibility service, the duration of the flexibility service, the cost per kilowatt-hour of the time-of-use electricity price, and the reward value per unit power of the grid dispatching center for flexibility, etc.

[0026] Based on the collected parameters, the coupling relationship between the electric arc furnace, hot rolling process, and intermediate process in the short-process steel plant is modeled, and the production constraint conditions of the flexibility evaluation method are established according to the equipment working model and operating boundary requirements.

[0027] Specifically, the production constraints include the operating constraints of the electric arc furnace, and the operating constraints of the electric arc furnace include the power operation constraint of the electric arc furnace, the continuous regulation operation constraint of the transformer, the dynamic process operation constraint of heat exchange, the average smelting speed operation constraint, and the total smelting amount operation constraint.

[0028] The power operation constraint of the electric arc furnace is as follows: (1) In the formula, represents the power of the electric arc furnace m at the i-th minute; is a 0-1 variable, and when the value is 1, it means that the electric arc furnace m adopts the q-th power gear at the i-th minute; represents the power value of the q-th power gear, and Q is the total number of power gears; represents the shortest time interval for each power gear adjustment of the electric arc furnace.

[0029] The electric arc furnace can only select one power gear per minute, and the operating constraint is as follows: (2) The operating constraint of the on-load tap-changer continuous regulation of the electric arc furnace is as follows: (3) The operating constraint of the dynamic heat exchange process in the electric arc furnace is as follows: (4) In the formula, represents the electro-thermal power conversion coefficient of the electric arc furnace, represents the specific heat capacity of the molten steel in the furnace, represents the proportional coefficient of heat exchange and cooling between the electric arc furnace and the outside world, represents the smelting temperature of the electric arc furnace m at the i-th minute.

[0030] The average smelting speed operating constraint of the electric arc furnace per minute is as follows: (5) In the formula, represents the average smelting speed of the electric arc furnace m at the i-th minute; represents the proportional coefficient of temperature and smelting speed.

[0031] The total smelting amount operating constraint of the electric arc furnace is as follows: (6) In the formula, represents the total smelting amount of the electric arc furnace m until the i-th minute.

[0032] The production constraints also include the hot rolling batch production constraints, which include batch production characteristic constraints, batch production quantity operation constraints, batch production sequence constraints, batch production time constraints, production order constraints, hot rolling start time constraints, total production quantity constraints of batch billets, batch production material constraints, and remaining billet constraints of batch.

[0033] The hot rolling load has batch production characteristics. At most one product can be produced in each batch. The operation constraints are as follows: (7) In the formula, is a 0-1 variable. When the value is 1, it means that rolling mill m produces product p in batch n. When the value is 0, it means that rolling mill m does not produce product p in batch n.

[0034] The batch production quantity operation constraints are as follows: (8) In the formula, represents the quantity of product p produced by rolling mill m in batch n, and respectively represent the upper and lower limits of the production quantity of each batch of product p produced by rolling mill m.

[0035] The hot rolling batch production sequence constraints are as follows: (9) In the formula, represents the start minute moment of rolling mill m in batch n, represents the rolling time length of batch n of rolling mill m.

[0036] The hot rolling batch production time constraints are as follows: (10) In the formula, represents the fixed start time for rolling mill m to produce product p; represents the time required for rolling mill m to produce a unit of product p.

[0037] The hot rolling production order constraints are as follows: (11) In the formula, represents the total order demand for product p.

[0038] The hot rolling start time constraints are as follows: (12) In the formula, is a 0-1 variable. When the value is 1, it means that the nth batch of rolling mill m starts at the ith minute.

[0039] The operating constraints for the total production volume of hot-rolled batch billets are as follows: (13) In the formula, represents the transfer time of the intermediate process from the electric arc furnace to hot rolling; represents the total production volume of billets that have passed through the electric arc furnace and the intermediate process when the nth batch of rolling mill m is about to start.

[0040] The material constraints for hot-rolled batch production are as follows: (14) In the formula, represents the total available billet storage when the nth batch of rolling mill m is about to start; represents the remaining amount of billets that were not used in the previous batch and thus transferred to the next batch.

[0041] The constraints for the remaining billets per batch are as follows: (15) Considering the operation requirements, when the short-process steel plant participates in providing flexibility services, the objective function of the evaluation method for the flexibility of the electric arc furnace-hot rolling load can be set to maximize the net income, that is, the objective function can be expressed as: (16) In the formula, represents the total income when the electric arc furnace-hot rolling load participates in providing flexibility services; represents the total electricity cost when the electric arc furnace-hot rolling load participates in flexibility services.

[0042] The total income is jointly contributed by the two loads, as follows (17) In the formula, represents the reward for the unit flexibility provided by the short-process steel plant by the power grid dispatching center, represents the flexibility provided by the hot rolling process, represents the flexibility provided by the electric arc furnace.

[0043] To calculate the income of the rolling process participating in flexibility services, it is necessary to discuss the relationship between batch production and the flexibility service period. There are six such relationships, namely, for a certain period, the production batch is completely before the period; or part is before the period and part is within the period; or it starts before the period and ends after the period; or it is completely within the period; or it starts within the period and ends after the period; or it is completely after the period. It can be expressed as (18) In the formula, Denote the production time of the nth batch of the rolling mill m in the kth period; Denote the period length of the flexibility service.

[0044] Considering the operation objectives and demands of the park microgrid, for the operating cost in the objective function, it can be expressed by the average power of the rolling mill as follows: (19) In the formula, is the average power of the nth batch of the rolling mill m in the kth flexibility service period; is the power of the rolling mill m to produce product p; is the production time of the nth batch of the rolling mill m to produce product p in the kth period.

[0045] Based on the constructed objective function and constraint conditions, solve the variables to obtain the flexibility evaluation result that maximizes the net income of the short-process steel plant in the flexibility service. The solution method is as follows: (20) The above solution model belongs to a mixed-integer nonlinear programming problem. Exact methods such as the branch and bound method and the cutting plane method, or heuristic algorithms such as genetic algorithms, particle swarm algorithms, and simulated annealing algorithms, as well as hybrid improvement algorithms based on the above algorithms, can be used for solution. In addition, if conditions permit, an external mature commercial solver can also be called to solve the above problem.

[0046] In summary, for the dynamic load regulation characteristics of electric arc furnaces, the method provided by the present invention uses on-load tap-changing transformer (OLTC) power regulation modeling to refine the power adjustment ability during the smelting process, and combines the dynamic characteristics of heat exchange in the electric arc furnace to avoid errors caused by simplified assumptions, making the load regulation more in line with the actual operating conditions. In terms of hot rolling process scheduling, the method provided by the present invention ensures flexible scheduling optimization without affecting production plans and product deliveries by establishing batch production sequence constraints and order demand constraints, and allows dynamic adjustment of batch production arrangements during flexible service periods, improving the adaptability of hot rolling loads to grid regulation. In addition, the method provided by the present invention strengthens the overall flexibility management of short-process steel plants, combines the coordinated optimization of electric arc furnace and hot rolling loads to maximize the overall flexibility of the steel plant, and through time-of-use electricity prices and flexibility reward mechanisms, aims to maximize net income, optimize operating costs while meeting grid scheduling requirements. To ensure solution efficiency and application value, the method provided by the present invention uses mixed-integer nonlinear programming modeling and combines optimization solution strategies such as the branch and bound method, genetic algorithm, and particle swarm algorithm to improve the balance between calculation efficiency and solution accuracy. This method is applicable to short-process steel plants of different scales, provides decision support for steel enterprises to participate in grid scheduling, and lays a theoretical foundation for the application of future intelligent scheduling optimization systems. Through this method, short-process steel plants can more accurately evaluate and optimize flexibility resources, improve their adaptability to grid regulation, and thus achieve the deep integration and development of short-process steelmaking and smart grids under the background of high proportion of new energy access.

[0047] The following describes the electric arc furnace-hot rolling load flexibility evaluation device for grid scheduling provided by the present invention. The electric arc furnace-hot rolling load flexibility evaluation device for grid scheduling described below can be correspondingly referred to the electric arc furnace-hot rolling load flexibility evaluation method described above. As Figure 3 shown, the electric arc furnace-hot rolling load flexibility evaluation device for grid scheduling provided by the present invention includes the following modules: An information acquisition module 310, configured to obtain production information and grid scheduling information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters of the electric arc furnace production process, hot rolling production process, and intermediate production process. The grid scheduling information includes demand parameters of the external grid for flexibility services; A modeling module 320, configured to model the production process based on the coupling relationship between production processes, production information, and equipment operation boundaries to obtain production constraint conditions. Among them, the variables in the production constraint conditions include the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling; A solution module 330 is configured to establish an objective function based on grid dispatching information, solve variables based on the objective function and constraint conditions, and obtain a flexibility evaluation result, where the flexibility evaluation result includes a time-varying power level adjustment plan for the electric arc furnace, a start-stop plan for the hot rolling load, and a product batch production plan.

[0048] Figure 4 An example of the entity structure diagram of an electronic device is shown as Figure 4 shown. The electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440. Among them, the processor 410, the communication interface 420, and the memory 430 complete mutual communication through the communication bus 440. The processor 410 can call the logical instructions in the memory 430 to execute the flexibility evaluation method for the electric arc furnace - hot rolling load oriented to grid dispatching. The method includes: obtaining production information and grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and the intermediate production process, and the grid dispatching information includes demand parameters of the external grid for flexibility services; modeling the production process based on the coupling relationship between production processes, production information, and equipment operation boundaries to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling; establishing an objective function based on the grid dispatching information, solving variables based on the objective function and constraint conditions, and obtaining a flexibility evaluation result, where the flexibility evaluation result includes a time-varying power level adjustment plan for the electric arc furnace, a start-stop plan for the hot rolling load, and a product batch production plan.

[0049] In addition, when the logical instructions in the above-mentioned memory 430 are implemented in the form of a software function unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical disks, etc., which can store program codes.

[0050] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for evaluating the flexibility of the electric arc furnace-hot rolling load for power grid dispatching provided by the above-mentioned various methods. The method includes: obtaining production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and the intermediate production process, and the power grid dispatching information includes demand parameters of the external power grid for flexibility services; modeling the production processes based on the coupling relationship between the production processes, the production information, and the equipment operation boundaries to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling; establishing an objective function based on the power grid dispatching information, and solving the variables based on the objective function and the constraint conditions to obtain a flexibility evaluation result, where the flexibility evaluation result includes a time-varying power level adjustment plan for the electric arc furnace, a start-stop plan for the hot rolling load, and a product batch production plan.

[0051] On the other hand, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the method for evaluating the flexibility of the electric arc furnace-hot rolling load for power grid dispatching provided by the above-mentioned various methods. The method includes: obtaining production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and the intermediate production process, and the power grid dispatching information includes demand parameters of the external power grid for flexibility services; modeling the production processes based on the coupling relationship between the production processes, the production information, and the equipment operation boundaries to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling; establishing an objective function based on the power grid dispatching information, and solving the variables based on the objective function and the constraint conditions to obtain a flexibility evaluation result, where the flexibility evaluation result includes a time-varying power level adjustment plan for the electric arc furnace, a start-stop plan for the hot rolling load, and a product batch production plan.

[0052] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0053] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An evaluation method for the flexibility of arc furnace - hot rolling load facing power grid dispatching, characterized in that The method includes: Obtaining production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, hot rolling production process, and intermediate production process, and the power grid dispatching information includes demand parameters of the external power grid for flexibility services; Based on the coupling relationship between production processes, the production information, and the equipment operation boundary, modeling the production processes to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling; Establishing an objective function based on the power grid dispatching information, and solving the variables based on the objective function and the constraint conditions to obtain a flexibility evaluation result, where the flexibility evaluation result includes the time-varying power level adjustment plan of the electric arc furnace, the start-stop plan of the hot rolling load, and the product batch production plan.

2. The method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching according to claim 1, wherein The production constraint conditions include the electric arc furnace operation constraint conditions; the electric arc furnace operation constraint conditions include the power operation constraint of the electric arc furnace, the continuous adjustment operation constraint of the transformer, the dynamic process operation constraint of heat exchange, the average smelting speed operation constraint, and the total smelting amount operation constraint.

3. The method for evaluating the flexibility of the electric arc furnace-hot rolling load for power grid dispatching according to claim 1, wherein, The production constraint conditions include the hot rolling batch production constraint conditions; the hot rolling batch production constraint conditions include batch production characteristic constraint conditions, batch production quantity operation constraint conditions, batch production sequence constraint conditions, batch production time constraint conditions, production order constraint conditions, hot rolling start time constraint conditions, total production quantity constraint conditions of batch billets, batch production material constraint conditions, and remaining billet constraint conditions of batches.

4. The method for evaluating the flexibility of the electric arc furnace - hot rolling load for power grid dispatching according to claim 1, wherein, The objective function is to maximize the net income value, and the net income value includes the reward for the flexibility services provided by the power grid dispatching center and the operating cost.

5. The method for evaluating the flexibility of the electric arc furnace-hot rolling load for power grid dispatching according to claim 4, characterized in that, The calculation formula of the operating cost is: ； Among them, is the average power of the nth batch of the rolling mill m during the kth flexibility service period; is the power of the rolling mill m to produce product p, and P is the total amount of products; is the production time of the nth batch of the rolling mill m to produce product p during the kth period, is the length of the flexibility service period.

6. An arc furnace - hot rolling load flexibility evaluation device for power grid dispatching, characterized in that, The device includes: An information acquisition module for obtaining production information and power grid dispatching information, where the production information includes production task information and process information, the process information includes production parameters and electrical parameters of the electric arc furnace production process, hot rolling production process, and intermediate production process, and the power grid dispatching information includes demand parameters of the external power grid for flexibility services; A modeling module for modeling the production processes based on the coupling relationship between production processes, the production information, and the equipment operation boundary to obtain production constraint conditions, where the variables in the production constraint conditions include the start-stop arrangements of production processes, the operating power of the electric arc furnace, and the load of hot rolling; A solving module for establishing an objective function based on the power grid dispatching information and solving the variables based on the objective function and the constraint conditions to obtain a flexibility evaluation result, where the flexibility evaluation result includes the time-varying power level adjustment plan of the electric arc furnace, the start-stop plan of the hot rolling load, and the product batch production plan.

7. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the electric arc furnace-hot rolling load flexibility evaluation method for power grid dispatching according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the electric arc furnace-hot rolling load flexibility evaluation method for power grid dispatching according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method for evaluating the flexibility of the electric arc furnace-hot rolling load for power grid dispatching according to any one of claims 1 to 5.

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