钢铁企业轧制计划与能源调度协同优化
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摘要
钢铁企业物质流网络与能量流网络的协同优化是实现钢铁行业高层次系统节能的关键。钢铁企业在不同工况下煤气的富余量以及蒸汽和电力需求量不同,轧制工序(含加热炉)作为电力和煤气消耗大户,轧制计划的改变会影响能量流网络中能源介质的分配和调度。提出了钢铁流程物质流与能量流协同优化方法,在分时电价的条件下,利用启发式规则调度方法对一天内的轧制单元进行合理的排程,然后用线性规划方法以系统运行能源成本最小为目标函数,建立钢铁企业煤气-蒸汽-电力系统不同工况下的耦合优化调度模型。通过LINGO求解出模型的最优解,得到了轧制单元的最优排程以及不同工况下煤气、蒸汽、电力的最优实时生产调度方案,用于指导实际生产。利用S钢厂实际数据进行实例分析,得出的调度方案可实现煤气-蒸汽-电力系统的最优化分配,系统运行的能源成本降低8.54%,验证了模型的有效性。
Cooperative optimization of material flow network and energy flow network in iron and steel enterprises is the key to realize energy saving of high-level system in iron and steel industry.The surplus of gas and the demand of steam or electricity are different under different working conditions in iron and steel enterprises.As the rolling process(including heating furnace)consumes a lot of electricity and gas,the change of rolling plan will affect the distribution and scheduling of energy medium in the energy flow network.A synergistic optimization method of material flow and energy flow in iron and steel enterprises is proposed.Under the condition of Time-of-Use(TOU)electricity price,a heuristic rule scheduling method is used to schedule the rolling units reasonably in one day.Then,a coupled optimal scheduling model of the gas-steam-power system under different conditions in iron and steel enterprises is established with the objective function of minimizing the energy cost of system operation by the linear programming method.The optimal solution of the model is solved by LINGO,and the optimal scheduling of rolling unit and the optimal real-time production scheduling scheme of gas,steam and power under different working conditions are obtained,which can be used to guide the actual production.Based on the actual data of S steel plant,the optimal allocation of the gas-steam-power system can be realized by the scheduling scheme.The energy cost of the system can be reduced by 8.54%,which verifies the validity of the model.
Cooperative optimization of material flow network and energy flow network in iron and steel enterprises is the key to realize energy saving of high-level system in iron and steel industry.The surplus of gas and the demand of steam or electricity are different under different working conditions in iron and steel enterprises.As the rolling process(including heating furnace)consumes a lot of electricity and gas,the change of rolling plan will affect the distribution and scheduling of energy medium in the energy flow network.A synergistic optimization method of material flow and energy flow in iron and steel enterprises is proposed.Under the condition of Time-of-Use(TOU)electricity price,a heuristic rule scheduling method is used to schedule the rolling units reasonably in one day.Then,a coupled optimal scheduling model of the gas-steam-power system under different conditions in iron and steel enterprises is established with the objective function of minimizing the energy cost of system operation by the linear programming method.The optimal solution of the model is solved by LINGO,and the optimal scheduling of rolling unit and the optimal real-time production scheduling scheme of gas,steam and power under different working conditions are obtained,which can be used to guide the actual production.Based on the actual data of S steel plant,the optimal allocation of the gas-steam-power system can be realized by the scheduling scheme.The energy cost of the system can be reduced by 8.54%,which verifies the validity of the model.
引文
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[24]赵传林,焦朋朋.考虑多峰的系统最优动态路径流量分配图解方法研究[J].交通运输系统工程与信息,2018,18(3):133.
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[2]殷瑞钰.关于智能化钢厂的讨论---从物理系统一侧出发讨论钢厂智能化[J].钢铁,2017,52(6):1.
[3]杨晓东,张玲.钢铁工业能源消耗和二次能源利用途径及对策[J].钢铁,2000,35(12):64.
[4]张琦,蔡九菊,王建军,等.钢铁厂煤气资源的回收与利用[J].钢铁,2009,44(12):95.
[5]赵贤聪,白皓,李宏煦,等.钢铁生产过程富余煤气动态优化分配模型[J].北京科技大学学报,2015(1):97.
[6]张琦,蔡九菊,庞兴露,等.钢铁联合企业煤气系统优化分配模型[J].东北大学学报:自然科学版,2011,32(1):98.
[7]李洪福,温燕明.钢铁流程煤基能量高效转换与钢-电联产模式[J].钢铁,2018,53(10):95.
[8]YANG J H,CAI J J,SUN W Q,et al.Optimization and scheduling of byproduct gas system in steel plant[J].Iron Steel Res Int,2015,22(5):408.
[9]SUN W Q,CAI J J,SONG J.Plant-wide supply-demand forecast and optimization of byproduct gas system in steel plant[J].Iron Steel Res Int,2013,20(9):1.
[10]YANG J H,CAI J J,SUN W Q,et al.Optimal allocation of surplus gas and suitable capacity for buffer users in steel plant[J].Applied Thermal Engineering,2017,115:586.
[11]田永华.钢铁企业蒸汽合理利用及优化分配研究[D].沈阳:东北大学,2011.
[12]刘精宇,蔡九菊,杨靖辉.钢铁工业蒸气介质能量流网络的动态分析研究[J].中国冶金,2013,23(4):47.
[13]曾玉娇.钢铁企业电力系统有功和无功优化调度问题的研究[D].北京:钢铁研究总院,2015.
[14]曾玉娇,孙彦广.基于动态自适应多目标粒子群算法的企业电网无功优化[J].上海交通大学学报,2015,49(11):1711.
[15]张琦,马家琳,高金彤,等.钢铁企业煤气-蒸汽-电力系统耦合优化及应用[J].化工学报,2018(7):3149.
[16]高金彤,倪团结,张琦.钢铁企业蒸汽动力系统多目标优化[J].冶金能源,2018(1):3.
[17]高金彤,倪团结,张琦.钢铁企业蒸汽动力系统优化[J].化工进展,2017,36(11):4301.
[18]ZHAO X C,BAI H,SHI Q,et al.Energy Materials 2017[M].Berlin:Springer International Publishing,2017.
[19]ZHAO X C,BAI H,SHI Q,et al.Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing[J].Applied Energy,2017,195:100.
[20]ZHAO X C,BAI H,SHI Q,et al.Energy Technology 2016[M].Berlin:Springer International Publishing,2016.
[21]殷瑞钰.“流”、流程网络与耗散结构---关于流程制造型制造流程物理系统的认识[J].中国科学:技术科学,2018,48(2):136.
[22]蔡九菊,王建军,陆钟武,等.钢铁企业物质流与能量流及其相互关系[J].东北大学学报:自然科学版,2006,27(9):979.
[23]郑忠,黄世鹏,李曼琛,等.钢铁制造流程的物质流和能量流协同优化[J].钢铁研究学报,2016,28(4):1.
[24]赵传林,焦朋朋.考虑多峰的系统最优动态路径流量分配图解方法研究[J].交通运输系统工程与信息,2018,18(3):133.
[25]顾玉顺.钢铁企业副产煤气多目标优化调度研究[D].南京:东南大学,2016.
[26]贺东风,鲁晓旭,冯凯,等.钢铁企业煤气-蒸汽-电力系统耦合优化调度[J].钢铁,2018,53(7):97.