Ladle furnace optimal scheduling method based on demand control

A scheduling method and technology for ladle furnaces, applied in manufacturing computing systems, instruments, data processing applications, etc., can solve problems such as huge changes in electricity cost structure, failures, and large demand peaks.

Active Publication Date: 2019-09-17
XIANGTAN UNIV
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Problems solved by technology

[0003] Under the new two-part electricity price sales policy, the electricity cost structure of iron and steel enterprises has changed greatly, and the traditional optimization method based on time-of-use electricity price cannot be fully applied to the pricing method after the new electricity reform
The traditional method adjusts a large number of tasks to the flat valley price period. Although it can reduce the electricity cost, it will cause the peak value of the internal deman...

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  • Ladle furnace optimal scheduling method based on demand control
  • Ladle furnace optimal scheduling method based on demand control
  • Ladle furnace optimal scheduling method based on demand control

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Embodiment Construction

[0081] Such as figure 1 As shown, the present invention proposes a method for optimal scheduling of ladle furnace load based on demand control, and the specific steps are as follows:

[0082] Step 1, the present invention has set up a resource-task network (RTN) model based on the discrete time system for the main part of the continuous casting process, such as figure 2 shown. The discrete time system of this model has four different time variables: a day is divided into a time period of fixed duration τ, Z represents the time period; t is a certain moment; period δ is not equal to the duration of the fixed period Z; Time θ is related to the start time of each period.

[0083] The resource-task network (RTN) model contains two types of nodes: resource node R and task node T

[0084] Resource nodes represent all resources related to the process flow. The resources in the model include: equipment resources (LD, LF and CC); intermediate products (EL, LC) and board (CR), and p...

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Abstract

The invention discloses a ladle furnace load optimal scheduling model based on demand control. The ladle furnace load optimal scheduling model comprises the steps: 1, establishing a production process resource-task network (RTN) model according to the technological process of the steel industry, establishing task nodes and resource nodes, setting Boolean variables for the resource nodes except electric power to represent resource states, and setting a Boolean variable for the running state of the task node to represent as well; 2, modeling a refining task process of the ladle furnace, and establishing corresponding constraint conditions for various power receiving control methods such as translation, interruption and reduction; 3, for transfer cost, loss cost and risk cost possibly caused by a power receiving control means, establishing a ladle furnace optimal scheduling loss model by considering the cost; and 4, aiming at an objective function under a real-time maximum demand charging background, establishing a steel ladle furnace load optimization scheduling model based on demand control. Compared with a traditional optimization scheduling method based on time-of-use electricity price rearrangement of all-day task time periods, the ladle furnace load optimal scheduling model based on demand control has the advantages of reducing the peak demand under the condition of not influencing the tasks of other time periods of the whole day, greatly reducing the production power consumption cost, and for a power grid, reducing the pressure of steel industry users on the reserve capacity of power grid transformation facilities, and reducing the power grid construction cost.

Description

technical field [0001] The invention relates to the field of load optimization scheduling in the iron and steel industry, in particular to a method for optimal scheduling of a ladle furnace based on demand control. Background technique [0002] The two-part electricity price system is a long-term electricity sales policy for large power users such as industry and commerce. With the continuous deepening of the reform of the new power system, in order to reduce the capacity pressure of public grid transformers and reduce the cost of grid construction and operation, the electricity market has implemented a new implementation method of the basic electricity price in the two-part electricity price to encourage users to manage electricity consumption behavior. From 2016 to 2018, the National Development and Reform Office documents "Notice of the General Office of the National Development and Reform Commission on Improving the Implementation of Basic Electricity Prices for Two-part...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04
CPCG06Q10/04G06Q10/06312G06Q10/0637G06Q50/04Y02P90/30Y04S10/50Y02E40/70
Inventor 李辉唐旻泰周鑫谭貌
Owner XIANGTAN UNIV
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