钢铁企业蒸汽系统多周期优化策略

doi:10.16085/j.issn.1000-6613.2017.05.005

摘要/Abstract

摘要： 钢铁企业蒸汽系统具有汽源设备较多、能源品种多以及能源供需及价格变化等特点，本文以某大型钢铁企业实际运行的蒸汽动力系统为研究对象，综合考虑其各台锅炉设备的不同生产特点、企业的能源需求和能源价格随时间变化的规律以及设备启停运行转换产生一部分费用等因素建立约束条件，以全时段蒸汽系统总能源成本最低为目标函数，建立蒸汽-电力耦合的多周期、混合整数非线性规划模型（MINLP），利用基于数学规划方法的LINGO软件求出全局最优解。通过分析比较，证明初始运行条件对多周期优化结果有很大影响，影响效果会延续数个周期，同时LINGO计算求解全局最优解的效率高、结果合理、可行，并能够为企业在能源设备调度上提供依据，实现一个运行时段内的低成本和高效益。

关键词: 蒸汽系统, 多周期, 数学模型, 混合整数非线性优化, 优化

Abstract: Steam power steam including a variety of energy producers and demand over time, is an essential part of iron and steel companies. Factors of different equipment units, various sums of energy demand in each period, energy prices fluctuations with period and expense of changeover of each equipment unit between periods were taken into consideration respectively in this paper. A mixed integer nonlinear programming (MINLP) model was established, which is multi-period and steam-electricity coupled. The objective function is the sum of cost of energy in steam and power system during whole periods. The global optimal solution will be achieved by LINGO software, The core of which is mathematical programming. Based on the result and analysis of the calculation, it is demonstrated that initial operation condition has great influence on the result of multi-period optimization and LINGO solves this kind of model with high efficiency and reliability. It is analyzed that optimization result is to achieve the lower cost and high economic operation, which could be the basis of production and operation by the administrator.

Key words: steam power system, multi-period, mathematical modeling, mixed integer nonlinear programming, optimization

中图分类号:

TQ021.8

陈骏, 周伟国, 王海. 钢铁企业蒸汽系统多周期优化策略[J]. 化工进展, 2017, 36(05): 1589-1596.

CHEN Jun, ZHOU Weiguo, WANG Hai. Study on optimal multi-period operational strategy for steam power system in steel industry[J]. Chemical Industry and Engineering Progress, 2017, 36(05): 1589-1596.

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