Ladle furnace optimal scheduling method based on demand control

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...

AI Technical Summary

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 demand during this period to be too large, resulting in an increase in the basic electricity fee.

At the same time, under the new demand pricing method, if the optimal scheduling method based on the time-of-use electricity price is continued to adjust the production rhythm, the equipment will continue to run in a high-load state during the time period, which will have a great impact on production safety and product quality. Serious Sometimes it will even cause power outage or equipment failure

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