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钢铁企业是污染大户,也是产生污染物的主要来源。为了满足钢铁企业对蒸汽和电力的需求,实现企业节能降耗的目的,必须保证自备电厂锅炉在最优状态运行,针对负荷频繁波动的特点,建立了基于环境成本锅炉负荷多周期混合整数线性规划(MILP)优化调度模型。运用改进的粒子群优化算法对其求解,应用表明:优化后锅炉使用燃料的费用为1 015 611元,约占整个系统全周期运行费用的77%。全周期总费用比实际运行情况减少了约50 462.864元,降低了约3.7%,节约了大量的成本。得到了经济性和可操作性都较好的运行计划方案,进一步为企业运行计划人员提供定量的计划调度指导。将环境成本作为钢铁企业自备电厂锅炉运行总成本的一部分,虽然增加了企业的总运行成本,但对环境保护问题和经济社会全面协调可持续发展有着十分重要的意义。
Iron and steel enterprises are big polluters, but also the main source of pollutants. In order to meet the demand for steam and electricity in steel industry and realize the goal of saving energy and reducing consumption of enterprises, it is necessary to ensure that boilers of self-provided power plants operate optimally. According to the characteristics of frequent load fluctuations, a multi-period mixed integer linearity Planning (MILP) Optimal Scheduling Model. The improved particle swarm optimization algorithm was used to solve the problem. The application shows that the optimized boiler fuel cost is 1 015 611 yuan, accounting for about 77% of the whole system operating cost. The total cost of the whole cycle was reduced by about RMB 50 462.864 yuan compared with the actual operation, a decrease of about 3.7%, which saved a lot of costs. Get the economic and maneuverability of the operation of the program are better plans to further operational planning staff to provide quantitative planning and scheduling guidance. Taking the environmental cost as part of the total operating cost of power plant boilers owned by steel enterprises increases the total operating cost of the enterprise but is of great significance to the issue of environmental protection and the full, coordinated and sustainable economic and social development.