A Method for Assessing the Flexibility of Electric Arc Furnace-Hot Rolling Load for Grid Dispatch

Abstract

This invention provides a method for assessing the load flexibility of an electric arc furnace-hot rolling mill oriented towards power grid dispatch. The method includes: acquiring production information and power grid dispatch information; production information including production task information and process information; process information including production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and intermediate production processes; and power grid dispatch information including external power grid demand parameters for flexibility services. The method also involves modeling the production processes based on the coupling relationships between them, the production information, and equipment operating boundaries to obtain production constraints. Variables in these constraints include the start-up and shutdown schedules of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling mill. Finally, the method establishes an objective function based on the power grid dispatch information and solves for the variables based on the objective function and the constraints to obtain the flexibility assessment results. This invention can improve the accuracy of the flexibility assessment results for short-process steelmaking in relation to the external power grid.

Description

Technical Field

[0001] This invention relates to the field of power grid dispatching technology, and in particular to a method for assessing the load flexibility of electric arc furnace-hot rolling mills for power grid dispatching. Background Technology

[0002] As the proportion of renewable energy generation increases, maintaining the balance between power supply and demand has become a new challenge, urgently requiring new demand response flexibility resources. Compared to long-process steelmaking, short-process steelmaking has lower carbon emissions and a higher proportion of electricity consumption, providing a good foundation for offering flexibility.

[0003] In existing technologies, research has been conducted on the supply and demand of electric arc furnaces and hot rolling mills with abundant 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 to provide flexibility resources to the power grid by adjusting the supply and demand production schedule.

[0004] However, in actual production, short-process steelmaking and electric arc furnaces with adjustable power within each smelting batch, as well as hot rolling loads with constant batch production loads, take priority in considering the specific production load characteristics of processes with adjustable flexibility, including electric arc furnaces and hot rolling loads. They are often simplified to have constant loads within each smelting batch, which differs greatly from actual production. This leads to inaccurate assessment results of the flexibility of short-process steelmaking to the external power grid. Summary of the Invention

[0005] This invention provides a method for assessing the load flexibility of electric arc furnace-hot rolling mills for grid dispatch, which addresses the shortcomings of inaccurate assessment results of the flexibility of short-process steelmaking to the external power grid in the prior art, thereby improving the accuracy of the assessment results of the flexibility of short-process steelmaking to the external power grid.

[0006] This invention provides a method for assessing the load flexibility of electric arc furnace-hot rolling mill for power grid dispatch, the method comprising:

[0007] Acquire production information and power grid dispatch information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters for electric arc furnace production process, hot rolling production process and intermediate production process. The power grid dispatch information includes external power grid demand parameters for flexibility services.

[0008] The production process is modeled based on the coupling relationship between production processes, the production information, and the equipment operation boundary to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production process, the operating power of the electric arc furnace, and the load of the hot rolling mill.

[0009] An objective function is established based on the power grid dispatch information. The variables are solved based on the objective function and the constraints to obtain the flexibility assessment results. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan.

[0010] According to the present invention, an electric arc furnace-hot rolling load flexibility assessment method for grid dispatch is provided, wherein the production constraints include electric arc furnace operation constraints; the electric arc furnace operation constraints include electric arc furnace power operation constraints, transformer continuous regulation operation constraints, heat exchange dynamic process operation constraints, average smelting speed operation constraints, and total smelting volume operation constraints.

[0011] According to the present invention, an electric arc furnace-hot rolling load flexibility assessment method for grid dispatch is provided, wherein the production constraints include hot rolling batch production constraints; the hot rolling batch production constraints include batch production characteristic constraints, batch production quantity operation constraints, batch production sequence constraints, batch production time constraints, production order constraints, hot rolling start-up time constraints, batch billet total production constraints, batch production material constraints, and batch remaining billet constraints.

[0012] According to the present invention, an electric arc furnace-hot rolling load flexibility assessment method for power grid dispatch is provided, wherein the objective function is to maximize the net benefit value, which includes the reward from the power grid dispatch center for the provision of flexibility services and the operating costs.

[0013] According to the present invention, a method for assessing the load flexibility of an electric arc furnace-hot rolling mill oriented towards power grid dispatching is provided, wherein the formula for calculating the operating cost is as follows:

[0014] ;

[0015] in, Let n be the average power of batch n of mill m during the kth flexibility service period; Let m be the power used by the mill to produce product p, where P is the total product output. Let p be the production time of product p produced by rolling mill m in the nth batch during the kth time period. The length of time period for serving flexibility.

[0016] The present invention also provides an electric arc furnace-hot rolling mill load flexibility assessment device for power grid dispatching, the device comprising:

[0017] The information acquisition module is used to acquire production information and power grid dispatch information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters of electric arc furnace production process, hot rolling production process and intermediate production process. The power grid dispatch information includes external power grid demand parameters for flexibility services.

[0018] The modeling module is used to model the production process based on the coupling relationship between the production processes, the production information, and the equipment operation boundary to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling mill.

[0019] The solution module is used to establish an objective function based on the power grid dispatch information, solve the variables based on the objective function and the constraints, and obtain the flexibility assessment results. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan.

[0020] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the electric arc furnace-hot rolling load flexibility assessment method for grid dispatch as described above.

[0021] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the electric arc furnace-hot rolling load flexibility assessment method for grid dispatch as described above.

[0022] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the electric arc furnace-hot rolling load flexibility assessment method for grid dispatch as described above.

[0023] The present invention provides a method for assessing the flexibility of electric arc furnace-hot rolling load for power grid dispatch. This method models the production process based on the coupling relationship between production processes, equipment operating boundaries, and production information reflecting production tasks, process parameters, and electrical parameters to obtain production constraints. The method uses the start-up and shutdown schedules of production processes, the operating power of the electric arc furnace, and the load of the hot rolling mill as variables. An objective function is established based on power grid dispatch information. The variables are solved using the objective function and production constraints to obtain the flexibility assessment results for short-process steelmaking. Since both the electric arc furnace operating power and the hot rolling load are variables, dynamic consideration of the electric arc furnace operating power and hot rolling load within a batch can be achieved, which is more consistent with actual production conditions and improves the accuracy of the flexibility assessment results for short-process steelmaking. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0025] Figure 1 This is a flowchart illustrating the electric arc furnace-hot rolling load flexibility assessment method for power grid dispatching provided by the present invention.

[0026] Figure 2 This is an example diagram illustrating the process interaction between a short-process steel plant and the external power grid in the electric arc furnace-hot rolling load flexibility assessment method for power grid dispatch provided by this invention.

[0027] Figure 3 This is a schematic diagram of the structure of the electric arc furnace-hot rolling load flexibility assessment device for power grid dispatching provided by the present invention.

[0028] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0030] The following is combined with Figure 1-2 This invention describes a method for assessing the load flexibility of an electric arc furnace-hot rolling mill, oriented towards grid dispatching. For example... Figure 1 As shown, the electric arc furnace-hot rolling load flexibility assessment method for grid dispatching provided by this invention includes the following steps:

[0031] S110. Obtain production information and power grid dispatch information. Production information includes production task information and process information. Process information includes production parameters and electrical parameters of electric arc furnace production process, hot rolling production process and intermediate production process. Power grid dispatch information includes external power grid demand parameters for flexibility services.

[0032] S120. Based on the coupling relationship between production processes, production information, and equipment operation boundaries, the production process is modeled to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production process, the operating power of the electric arc furnace, and the load of the hot rolling mill.

[0033] S130. Establish an objective function based on power grid dispatch information, solve the variables based on the objective function and constraints, and obtain the flexibility assessment results of electric arc furnace-hot rolling load. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan.

[0034] The method provided by this invention models the production process based on the coupling relationship between production processes, equipment operating boundaries, and production information reflecting production tasks, process production parameters, and electrical parameters to obtain production constraints. It uses the start-up and shutdown arrangements of production processes, the operating power of the electric arc furnace, and the hot rolling load as variables. An objective function is established based on power grid dispatch information. The variables are solved based on the objective function and production constraints to obtain the flexibility assessment results for short-process steelmaking. Since the electric arc furnace operating power and hot rolling load are both variables, dynamic consideration of the electric arc furnace operating power and hot rolling load within a batch can be achieved, which is more consistent with actual production conditions and improves the accuracy of the flexibility assessment results for short-process steelmaking.

[0035] The flexibility assessment results of short-process steelmaking are used to measure the flexibility that short-process steelmaking can provide to the external power grid. The supply and demand interaction structure between short-process steel plants and the power grid is as follows: Figure 2 As shown, the power grid dispatch center issues flexibility requirements based on the actual state of the power grid. The steel plant dispatch center reports the maximum flexibility it can provide based on the actual production situation. The power grid dispatch center then issues actual contracted flexibility contracts. Based on the actual contracted flexibility, the steel plant dispatch center schedules batch production and power allocation within its production system to meet the flexibility requirements. The method provided by this invention aims to obtain the flexibility assessment results reported by the steel plant dispatch center.

[0036] When implementing the method provided by this invention, parameters are first collected, including production information and power grid dispatch information. Production information includes production task information, i.e., the production tasks that the short-process steelmaking plant needs to complete. Process information includes production and electrical parameters for the electric arc furnace production process, hot rolling production process, and intermediate production processes. Specifically, this includes the upper and lower limits and granularity of the on-load tap-changing transformer power regulation 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 intermediate processes, the upper limit of billet storage in intermediate processes, the fixed start-up time of hot rolling, the rolling speed of hot rolling for different products, and the production load for different products. Power grid dispatch information includes parameters related to the external power grid's demand for flexibility services. Specifically, this includes the external power grid's requirements for the time granularity of the provided flexibility, the start time and duration of the flexibility service, the time-of-use electricity price per kilowatt-hour, and the power grid dispatch center's bonus value per unit of flexibility.

[0037] Based on the collected parameters, the coupling relationship between electric arc furnaces, hot rolling processes, and intermediate processes in short-process steel plants is modeled, and production constraints for a flexibility assessment method are established based on the equipment working model and operational boundary requirements.

[0038] Specifically, the production constraints include the electric arc furnace operation constraints, which include the electric arc furnace power operation constraints, the transformer continuous regulation operation constraints, the heat exchange dynamic process operation constraints, the average smelting speed operation constraints, and the total smelting volume operation constraints.

[0039] The power operating constraints of the electric arc furnace are as follows:

[0040] (1)

[0041] In the formula, This represents the power of electric arc furnace m in the i-th minute; It is a 0-1 variable. A value of 1 indicates that the electric arc furnace m uses the q-th power setting in the i-th minute. This represents the power value of the q-th power level, where Q is the total number of power levels. This indicates the shortest time interval between each power adjustment of the electric arc furnace.

[0042] The electric arc furnace can only select one power level at a time per minute, and the operating constraints are as follows:

[0043] (2)

[0044] The operating constraints for continuous regulation of the on-load tap-changing transformer in an electric arc furnace are as follows:

[0045] (3)

[0046] The dynamic process constraints for heat exchange within the electric arc furnace are as follows:

[0047] (4)

[0048] In the formula, This represents the electro-thermal power conversion coefficient of an electric arc furnace. Indicates the specific heat capacity of molten steel in the furnace. This represents the proportionality coefficient of heat exchange and cooling between the electric arc furnace and the external environment. Let m represent the smelting temperature of the electric arc furnace m at minute i.

[0049] The operating constraints for the average smelting speed per minute of the electric arc furnace are as follows:

[0050] (5)

[0051] In the formula, This represents the average smelting speed of electric arc furnace m in the i-th minute; This represents the ratio of temperature to smelting speed.

[0052] The total smelting capacity operating constraints of the electric arc furnace are as follows:

[0053] (6)

[0054] In the formula, This represents the total smelting volume of electric arc furnace m up to the i-th minute.

[0055] Production constraints also include hot-rolled 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-up time constraints, total batch billet production constraints, batch production material constraints, and batch remaining billet constraints.

[0056] Hot rolling loads exhibit batch production characteristics, with each batch producing at most one type of product. The operational constraints are as follows:

[0057] (7)

[0058] In the formula, It is a 0-1 variable. A value of 1 indicates that rolling mill m produces the p-th product in batch n, and a value of 0 indicates that rolling mill m does not produce the p-th product in batch n.

[0059] The batch production quantity constraints are as follows:

[0060] (8)

[0061] In the formula, This indicates the quantity of product p produced by rolling mill m in batch n. and These represent the upper and lower limits of the production quantity of product p in each batch produced by rolling mill m.

[0062] The production sequence constraints for hot-rolled batches are as follows:

[0063] (9)

[0064] In the formula, This indicates the minute at which rolling mill m begins batch n. This indicates the rolling time length of batch n in mill m.

[0065] The production time constraints for hot-rolled batches are as follows:

[0066] (10)

[0067] In the formula, This indicates the fixed start-up time for rolling mill m to produce product p; This represents the time required for mill m to produce one unit of product p.

[0068] The constraints for hot-rolled production orders are as follows:

[0069] (11)

[0070] In the formula, This represents the total order demand for product p.

[0071] The hot rolling start-up time constraints are as follows:

[0072] (12)

[0073] In the formula, It is a 0-1 variable, and a value of 1 indicates that the nth batch of rolling mill m starts at the i-th minute.

[0074] The operating constraints for the total production volume of hot-rolled batch steel billets are as follows:

[0075] (13)

[0076] In the formula, This indicates the transfer time between the electric arc furnace and the hot rolling process. This represents the total amount of steel billets produced after the electric arc furnace and intermediate processes when the nth batch of rolling mill m is about to start.

[0077] The material constraints for hot-rolled batch production are as follows:

[0078] (14)

[0079] In the formula, This represents the total amount of billets available when the nth batch of rolling mill m is about to start; This indicates the remaining amount of steel billets that were not used in the previous batch and are being carried over to the next batch.

[0080] The remaining steel billets for each batch are constrained as follows:

[0081] (15)

[0082] Considering operational requirements, when short-process steel mills participate in providing flexibility services, the objective function of the electric arc furnace-hot rolling load flexibility assessment method can be set to maximize net benefit, that is, the objective function can be expressed as:

[0083] (16)

[0084] In the formula, This indicates the total revenue when electric arc furnace-hot rolling load participates in providing flexibility services; This represents the total electricity cost when the electric arc furnace-hot rolling load participates in flexibility services.

[0085] The total revenue is contributed by both types of loads, as shown below.

[0086] (17)

[0087] In the formula, This represents the reward from the power grid dispatch center for the unit flexibility provided by short-process steel plants. This indicates the flexibility offered by the hot rolling process. This indicates the flexibility offered by electric arc furnaces.

[0088] To calculate the benefits of the steel rolling process participating in flexibility services, it is necessary to discuss the relationship between batch production and the flexibility service period. There are six possible relationships: for a given period, the production batch is entirely before that period; or partly before and partly within that period; or it starts before and ends after the period; or it is entirely within the period; or it starts within the period and ends after the period; or it is entirely after the period. This can be represented as follows:

[0089] (18)

[0090] In the formula, This represents the production time of the nth batch of rolling mill m in the kth time period; Indicates the duration of the flexible service period.

[0091] Considering the operational goals and needs of the industrial park's microgrid, the operating cost in the objective function can be represented by the average power of the rolling mill, as shown below:

[0092] (19)

[0093] In the formula, Let n be the average power of batch n of mill m during the kth flexibility service period; The power of rolling mill m in producing product p; Let p be the production time of product p produced by rolling mill m in the nth batch during the kth time period.

[0094] Based on the constructed objective function and constraints, the variables are solved to obtain the flexibility assessment result that maximizes the net benefit of short-process steel plants from flexibility services. The solution method is as follows:

[0095] (20)

[0096] The above-described solution model belongs to the category of mixed-integer nonlinear programming problems. It can be solved using precise methods such as the branch-and-bound method and the cutting plane method, or heuristic algorithms such as genetic algorithms, particle swarm optimization, and simulated annealing, as well as hybrid improved algorithms based on these methods. Furthermore, if resources permit, mature commercial solvers can also be used to solve this problem.

[0097] In summary, regarding the dynamic load regulation characteristics of electric arc furnaces, the method provided by this invention employs on-load tap-changing transformer (OLTC) power regulation modeling to refine the power adjustment capability during the smelting process. Combined with the dynamic characteristics of heat exchange within the electric arc furnace, it avoids errors caused by simplistic assumptions, making load regulation more consistent with actual operating conditions. In terms of hot rolling process scheduling, the method provided by this invention establishes batch production sequence constraints and order demand constraints to ensure that optimized flexible scheduling does not affect production plans and product delivery. It also allows for dynamic adjustments to batch production arrangements during flexible service periods, improving the adaptability of hot rolling load to grid regulation. Furthermore, the method provided by this invention strengthens the overall flexibility management of short-process steel plants. By combining the synergistic optimization of electric arc furnace and hot rolling loads, it maximizes the overall flexibility of the steel plant. Through time-of-use pricing and flexibility incentive mechanisms, it aims to maximize net revenue while optimizing operating costs to meet grid dispatch requirements. To ensure solution efficiency and application value, the method provided by this invention employs mixed-integer nonlinear programming modeling and combines optimization strategies such as branch-and-bound algorithm, genetic algorithm, and particle swarm optimization to improve the balance between computational efficiency and solution accuracy. This method is applicable to short-process steel plants of different sizes, providing decision support for steel enterprises to participate in grid dispatch and laying a theoretical foundation for the future application of intelligent dispatch optimization systems. Through this method, short-process steel plants can more accurately assess and optimize their flexibility resources, improve their adaptability to grid regulation, and thus achieve deep integration and development of short-process steelmaking and smart grids in the context of high-proportion renewable energy integration.

[0098] The following describes the electric arc furnace-hot rolling mill load flexibility assessment device for grid dispatching provided by the present invention. The electric arc furnace-hot rolling mill load flexibility assessment device described below can be referred to in correspondence with the electric arc furnace-hot rolling mill load flexibility assessment method for grid dispatching described above. Figure 3 As shown, the electric arc furnace-hot rolling load flexibility assessment device for power grid dispatching provided by the present invention includes the following modules:

[0099] The information acquisition module 310 is used to acquire production information and power grid dispatch information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters of electric arc furnace production process, hot rolling production process and intermediate production process. The power grid dispatch information includes external power grid demand parameters for flexibility services.

[0100] Modeling module 320 is used to model the production process based on the coupling relationship between production processes, production information and equipment operation boundaries to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production process, the operating power of the electric arc furnace and the load of hot rolling.

[0101] The solver module 330 is used to establish an objective function based on power grid dispatch information, solve the variables based on the objective function and constraints, and obtain the flexibility assessment results. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan.

[0102] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communications bus 440, wherein the processor 410, the communications interface 420, and the memory 430 communicate with each other through the communications bus 440. The processor 410 can call logic instructions in the memory 430 to execute a grid-dispatch-oriented electric arc furnace-hot rolling load flexibility assessment method. This method includes: acquiring production information and grid dispatch information; the production information includes production task information and process information; the process information includes production parameters and electrical parameters for the electric arc furnace production process, the hot rolling production process, and intermediate production processes; and the grid dispatch information includes external grid demand parameters for flexibility services. The processor 410 models the production processes based on the coupling relationships between them, the production information, and the equipment operating boundaries to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedules of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling mill. The processor 410 establishes an objective function based on the grid dispatch information and solves for the variables based on the objective function and the constraints to obtain a flexibility assessment result. The flexibility assessment result includes the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan.

[0103] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as a software-powered unit and, when sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0104] On the other hand, the present invention also provides a computer program product, which includes a computer program that 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 electric arc furnace-hot rolling load flexibility assessment method for grid dispatch provided by the above methods. The method includes: acquiring production information and grid dispatch information, wherein the production information includes production task information and process information, and the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and intermediate production processes, and the grid dispatch information includes external grid demand parameters for flexibility services; modeling the production process based on the coupling relationship between production processes, production information, and equipment operating boundaries to obtain production constraints, wherein the variables in the production constraints include the start-up and shutdown arrangements of production processes, the operating power of the electric arc furnace, and the load of the hot rolling; establishing an objective function based on the grid dispatch information, solving the variables based on the objective function and constraints to obtain a flexibility assessment result, wherein the flexibility assessment result includes the time-varying power level adjustment plan of the electric arc furnace, the start-up and shutdown plan of the hot rolling load, and the product batch production plan.

[0105] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the above-described method for evaluating the flexibility of electric arc furnace-hot rolling load for grid dispatch. The method includes: acquiring production information and grid dispatch information, wherein the production information includes production task information and process information, and the process information includes production parameters and electrical parameters of the electric arc furnace production process, the hot rolling production process, and intermediate production processes; and the grid dispatch information includes external grid demand parameters for flexibility services; modeling the production processes based on the coupling relationship between production processes, production information, and equipment operating boundaries to obtain production constraints, wherein the variables in the production constraints include the start-up and shutdown arrangements of production processes, the operating power of the electric arc furnace, and the load of the hot rolling; establishing an objective function based on the grid dispatch information; and solving the variables based on the objective function and the constraints to obtain a flexibility evaluation result, wherein the flexibility evaluation result includes the time-varying power level adjustment plan of the electric arc furnace, the start-up and shutdown plan of the hot rolling load, and the product batch production plan.

[0106] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0107] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence 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 cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions 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. A method for assessing the load flexibility of an electric arc furnace-hot rolling mill for power grid dispatch, characterized in that, The method includes: Acquire production information and power grid dispatch information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters for electric arc furnace production process, hot rolling production process and intermediate production process. The power grid dispatch information includes external power grid demand parameters for flexibility services. The production process is modeled based on the coupling relationship between production processes, the production information, and the equipment operation boundary to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production process, the operating power of the electric arc furnace, and the load of the hot rolling mill. An objective function is established based on the power grid dispatch information. The variables are solved based on the objective function and the constraints to obtain the flexibility assessment results. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan. The production constraints include electric arc furnace operation constraints; the electric arc furnace operation constraints include electric arc furnace power operation constraints, transformer continuous regulation operation constraints, heat exchange dynamic process operation constraints, average smelting speed operation constraints, and total smelting volume operation constraints. The production constraints include hot-rolled batch production constraints; the hot-rolled batch production constraints include batch production characteristic constraints, batch production quantity operation constraints, batch production sequence constraints, batch production time constraints, production order constraints, hot-rolling start-up time constraints, total batch billet production constraints, batch production material constraints, and batch remaining billet constraints.

2. The method for assessing the load flexibility of electric arc furnace-hot rolling mill oriented towards power grid dispatch according to claim 1, characterized in that, The objective function is to maximize the net benefit value, which includes the reward from the power grid dispatch center for the provision of flexibility services and the operating costs.

3. The method for assessing the load flexibility of electric arc furnace-hot rolling mill oriented towards power grid dispatch according to claim 2, characterized in that, The formula for calculating the operating cost is as follows: in, Let n be the average power of batch n of mill m during the kth flexibility service period; Let m be the power used by the mill to produce product p, where P is the total product output. Let t be the production time of product p produced by rolling mill m in the nth batch during the kth time period. pl The length of time period for serving flexibility.

4. A device for assessing the load flexibility of an electric arc furnace-hot rolling mill for power grid dispatching, characterized in that, The device includes: The information acquisition module is used to acquire production information and power grid dispatch information. The production information includes production task information and process information. The process information includes production parameters and electrical parameters of electric arc furnace production process, hot rolling production process and intermediate production process. The power grid dispatch information includes external power grid demand parameters for flexibility services. The modeling module is used to model the production process based on the coupling relationship between the production processes, the production information, and the equipment operation boundary to obtain production constraints. The variables in the production constraints include the start-up and shutdown schedule of the production processes, the operating power of the electric arc furnace, and the load of the hot rolling mill. The solution module is used to establish an objective function based on the power grid dispatch information, solve the variables based on the objective function and the constraints, and obtain the flexibility assessment results. The flexibility assessment results include the electric arc furnace time-varying power level adjustment plan, the hot rolling load start-up and shutdown plan, and the product batch production plan. The production constraints include electric arc furnace operation constraints; the electric arc furnace operation constraints include electric arc furnace power operation constraints, transformer continuous regulation operation constraints, heat exchange dynamic process operation constraints, average smelting speed operation constraints, and total smelting volume operation constraints. The production constraints include hot-rolled batch production constraints; the hot-rolled batch production constraints include batch production characteristic constraints, batch production quantity operation constraints, batch production sequence constraints, batch production time constraints, production order constraints, hot-rolling start-up time constraints, total batch billet production constraints, batch production material constraints, and batch remaining billet constraints.

5. An electronic device, comprising a memory, a processor, and a computer program stored in 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 assessment method as described in any one of claims 1 to 3.

6. 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 assessment method as described in any one of claims 1 to 3 for grid dispatch.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the electric arc furnace-hot rolling load flexibility assessment method as described in any one of claims 1 to 3 for grid dispatch.

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