Timing sequence optimization method for gas consumption equipment of steel enterprises

Abstract

The invention discloses a timing sequence optimization method for gas consumption equipment of steel enterprises. Based on the establishment of a gas consumption characteristic model, a timing sequence optimization model for gas consumption equipment is established. The model, by taking the minimum of input heat fluctuation in a self-generation power plant and the minimum number of changes in equipment operating status as an optimization goal, and taking the gas heat, a thermal value, and a flow rate of the power plant as constraints, converts a math problem to 0-1 integer programming problem.The method solves the mathematical problem model by using a multi-objective genetic algorithm, designs the gene selection scheme, sets the position of 0 and 1 in the matrix as the gene of the algorithm, and achieves simple and effective optimization of the equipment timing sequence.

Description

technical field [0001] The invention belongs to the field of energy optimization scheduling in iron and steel enterprises, and in particular relates to a timing optimization method for gas consumption equipment in iron and steel enterprises. Background technique [0002] The gas system of iron and steel enterprises has complex structure and numerous equipments, which are divided into gas production equipment, gas consumption equipment and gas buffer equipment. The production and consumption characteristics of blast furnace gas, coke oven gas and converter gas are different for each equipment, so the problem of unbalanced production and consumption of gas system often occurs, which will not only cause waste of energy, but also seriously affect the production and consumption of iron and steel enterprises. normal production. [0003] At present, for the optimization of the gas system in iron and steel enterprises, there have been a lot of researches and many optimal scheduling...

AI Technical Summary

Problems solved by technology

The production and consumption characteristics of blast furnace gas, coke oven gas and converter gas are different for each equipment, so the problem of unbalanced production and consumption of gas system often occurs, which will not only cause waste of energy, but also seriously affect the production and consumption of iron and steel enterprises. normal production

[0003] At present, for the optimization of the gas system in iron and steel enterprises, there have been a lot of researches and many optimal scheduling models have been established. Optimization model (static balance of year, month and day), the former balances the gas by adjusting the storage and consumption of the gas cabinet and the self-provided power plant, and the latter balances the gas by adjusting the production of each equipment. Under the condition of the given production time in the world (that is, the production time of each equipment in a day is known according to the production demand), there are few studies on the timing optimization of gas consumption equipment. The method of production and consumption balance optimization, the present invention starts from this point of view, and supplements an adjustment method for the optimal scheduling of energy in iron and steel enterprises

[0004] Most of the previous studies ignored the problem of heat fluctuations input to power plants, and the timing optimization of gas consumption equipment can easily lead to frequent changes in the operation status of gas consumption

In addition, at present, many gas optimization scheduling models involve 0-1 programming problems (restricted variables in the model can only take values ​​of 0 or 1, and this kind of integer programming problem is called 0-1 programming problem). The model of the 0-1 integer programming problem is solved by genetic algorithm, but the gene setting method in its solution makes the gene dimension more, which increases the difficulty of solving the model

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