钢铁企业煤气-蒸汽-电力系统耦合优化调度
|
摘要
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,为了获得最大的经济效益,需要针对不同工况条件进行煤气-蒸汽-电力系统的实时优化调度。基于线性规划,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。模型的调度间隔为5 min,通过LINGO求解出模型的最优解,得到不同工况下煤气、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钢铁企业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,降低系统运行的能源成本,验证了模型的有效性。
As the surplus of gas and the demand of steam and electricity are different under different operating conditions,the gas-steam-electricity system operation need to optimize accordingly in steel plants. To minimize the energy cost of system operation,the coupling optimization scheduling model of the gas-steam-electricity system was established under different production loads in iron and steel enterprises,based on linear programming. As the scheduling interval in the model was 5 min,with the model the real time optimal production scheduling of gas,steam and electricity under different working conditions can be obtained. By using the actual production data of S steel plant for case analysis,the optimized scheduling scheme was calculated to achieve optimal allocation of gas-steam-electricity system,and the energy cost was reduced. The validity of the model was verified.
As the surplus of gas and the demand of steam and electricity are different under different operating conditions,the gas-steam-electricity system operation need to optimize accordingly in steel plants. To minimize the energy cost of system operation,the coupling optimization scheduling model of the gas-steam-electricity system was established under different production loads in iron and steel enterprises,based on linear programming. As the scheduling interval in the model was 5 min,with the model the real time optimal production scheduling of gas,steam and electricity under different working conditions can be obtained. By using the actual production data of S steel plant for case analysis,the optimized scheduling scheme was calculated to achieve optimal allocation of gas-steam-electricity system,and the energy cost was reduced. The validity of the model was verified.
引文
[1]彭岩,曹先常,张玉柱.钢铁典型工序流程节能技术新进展[J].中国冶金,2017,27(5):8.(PENG Yan,CAO Xian-chang,ZHANG Yu-zhu.New progresses of energy saving solutions in typical iron and steel making process flow[J].China Metallurgy,2017,27(5):8.)
[2]卢鑫,白皓,赵立华,等.钢铁企业能源消耗与CO2减排关系[J].北京科技大学学报,2012,34(12):1445.(LU Xin,BAI Hao,ZHAO Li-hua,et al.Relationship between the energy consumption and CO2emission reduction of iron and steel plants[J].J Univ Sci Technol Beijing,2012,34(12):1445.)
[3]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,2015,37(1):97.(ZHAO Xian-cong,BAI Hao,LI Hong-xu,et al.Dynamic optimal distribution model of surplus byproduct gases in iron and steel making process[J].J Univ Sci Technol Beijing,2015,37(1):97.)
[4]李仁华,贾鸿屹.钢铁厂煤气利用项目的系统应用与优化[J].中国冶金,2017,27(3):54.(LI Ren-hua,JIA Hong-yi.Systematic application and optimization on gas using project of iron and steel plant[J].China Metallurgy,2017,27(3):54.)
[5]段坚.热电联产减温减压器供热优化分析[J].中国冶金,2015,25(10):70.(DUAN Jian.Optimization analysis on heat supply of combined heat and power temperature and pressure reducter[J].China Metallurgy,2015,25(10):70.)
[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.(ZHANG Qi,CAI Jiu-ju,PANG Xing-lu,et al.Optimal distribution of by-product gases in iron and steel complex[J].J Northeast Univ Nat Sci,2011,32(1):98.)
[7]王天义.多发电,节能减排,提升企业盈利能力——天津天丰钢铁提高自发电率调研[J].中国冶金,2016,26(11):1.(WANG Tian-yi.Multi power generation,energy saving and emission reduction,improve profitability of enterprises-Research of improving self generating rate of Tianjin Tianfeng Steel[J].China Metallurgy,2016,26(11):1.)
[8]宋军,蔡九菊,刘文超,等.钢铁联合企业煤气系统运行模式研究[J].中国冶金,2010,20(12):39.(SONG Jun,CAI Jiu-Ju,LIU Wen-chao,et al.Research on operation mode of gas system in iron and steel joint enterprise[J].China Metallurgy,2010,20(12):39.))
[9]YANG J H,CAI J J,SUN W Q,et al.Optimization and scheduling of byproduct gas system in steel plant[J].Journal of Iron and Steel Research,International,2015,22(5):408.
[10]SUN W Q,CAI J J,SONG J.Plant-wide supply-demand forecast and optimization of byproduct gas system in steel plant[J].Journal of Iron and Steel Research,International,2013,20(9):1.
[11]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.
[12]李红娟,王建军,王华,等.基于HP(2)-Elman模型的钢铁企业富余煤气预测及优化调度[J].钢铁研究学报,2013,25(7):11.(LI Hong-juan,WANG Jian-jun,WANG Hua,et al.Prediction and optimal operation of surplus gas in iron and steel enterprises based on HP(2)-Elman model[J].Journal of Iron and Steel Research,2013,25(7):11.)
[13]赵祖明.钢铁企业副产煤气系统运行优化研究[D].济南:山东大学,2015.(ZHAO Zu-ming.Research on Optimal Operation of Byproduct Gas System in Iron and Steel Enterprises[D].Jinan:Shandong University,2015.)
[14]HAN Z Y,ZHAO J,WANG W,et al.A two-stage method for predicting and scheduling energy in an oxygen/nitrogen system of the steel industry[J].Control Engineering Practice,2016,52:35.
[15]KONG H N.A green mixed integer linear programming model for optimization of byproduct gases in iron and steel industry[J].Journal of Iron and Steel Research,International,2015,22(8):681.
[16]Dutta G,Sinha G P,Roy P N,et al.A linear programming model for distribution of electrical energy in a steel plant[J].International Transactions in Operational Research,2010,1(1):17.
[17]Kermani M,Périn-Levasseur Z,Benali M,et al.An improved linear programming approach for simultaneous optimization of water and energy[J].Computer Aided Chemical Engineering,2014,33:1561.
[18]曹建全,袁贞,郝飞,等.基于流程网络的高炉煤气系统分析[J].自动化与信息工程,2013,34(2):14.(CAO Jian-quan,YUAN Zhen,HAO Fei,et al.Analysis for the blast furnace gas system based on flow network[J].Automation and Information Engineering,2013,34(2):14.)
[19]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.(TIAN Yong-hua.Study on Reasonable Utilization and Optimizing Distribution of Steam in Iron and Steel Company[D].Shenyang:Northeastern University,2011.)
[20]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(4):47.(LIU Jing-yu,CAI Jiuju,YANG Jing-hui,et al.Dynamic analysis of energy flow network of steam medium in iron and steel industry[J].China Metallurgy,2013(4):47.)
[21]李红娟.钢铁企业煤气系统预测及优化调度研究[D].昆明:昆明理工大学,2013.(LI Hong-juan.Iron and steel Enterprise Gas system Prediction and Optimal Operation Research[D].Kunming:Kunming University of Science and Technology,2013.)
[22]LI L,LI H J.Forecasting and optimal probabilistic scheduling of surplus gas systems in iron and steel industry[J].Journal of Central South University,2015,22(4):1437.
[23]李红娟,熊文真.钢铁企业副产煤气预测及优化调度[J].钢铁,2016,51(8):90.(LI Hong-juan,XIONG Wen-zhen.Prediction and optimal operation on byproduct gas system insteel enterprises[J].Iron and Steel,2016,51(8):90.)
[24]ZHAO J,WANG W,SUN K,et al.A bayesian networks structure learning and reasoning-based byproduct gas scheduling in steel industry[J].IEEE Transactions on Automation Science and Engineering,2014,11(4):1149.
[25]Kim J H,Yi H S,Han C,et al.A novel MILP model for plantwide multiperiod optimization of byproduct gas supply system in the iron and steel making process[J].Chemical Engineering Research and Design,2003,81(8):1015.
[26]ZHAO X,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.
[27]ZHAO X,BAI H,LU X,et al.A MILP model concerning the optimisation of penalty factors for the short-term distribution of byproduct gases produced in the iron and steel making process[J].Applied Energy,2015,148(2):142.
[28]孙良旭,曲殿利.一种自适应差分进化算法在煤气分配中的应用[J].钢铁研究学报,2016,28(2):33.(SUN Liang-xu,QU Dian-li.An application of adaptive differential evolution algorithm in gas distribution[J].Journal of Iron and Steel Research,2016,28(2):33.)
[29]曾玉娇,孙彦广.钢铁企业蒸汽-电力系统多时段优化调度[C]//第25届中国过程控制会议论文集.大连:中国自动化学会过程控制专业委员会,2014:8.(ZENG Yu-jiao,SUN Yanguang.Multi-period optimal scheduling of steam power system for iron and steel industry[C]//The 25th Chinese Process Control Conference.Dalian:Technical Committee on Process Control Chinese Association of Automation,2014:8.)
[30]曾亮,梁小兵,欧燕,等.钢铁企业煤气-蒸汽-电力等多介质多周期混合优化调度模型及算法[C]//全国冶金能源环保生产技术会论文集.武汉:中国金属学会,2014:252.(ZENG Liang,LIANG Xiao-bing,OU Yan,et al.Multi-period and multienergy-medium integrated optimal scheduling model and algorithm of gas-steam-electricity iron and steel enterprise[C]//Proceedings of the National Conference on Metallurgical Energy and Environmental Protection Production Technology.Wuhan:The Chinese Society for Metals,2014:252.)
[31]张琦,提威,杜涛,等.钢铁企业富余煤气-蒸汽-电力耦合模型及其应用[J].化工学报,2011,62(3):753.(ZHANG Qi,TI Wei,DU Tao,et al.Coupling model of gas-steam-electricity and its application in steel works[J].CIESC J,2011,62(3):753.)
[32]江文德.钢铁企业能源动态平衡和优化调度问题研究和系统设计[D].杭州:浙江大学,2006.(JIANG Wen-de.Research and Design of Energy Dynamic Balance and Optimal Schedule System in Iron and Steel Enterprise[D].Hangzhou:Zhejiang University,2006.)
[33]施琦,赵贤聪,白皓,等.钢铁企业副产煤气短周期优化调度模型[J].钢铁,2016,51(8):81.(SHI Qi,ZHAO Xian-cong,BAI Hao,et al.Short-term distribution model of byproduct gases in iron and steel enterprise[J].Iron and Steel,2016,51(8):81.)
[2]卢鑫,白皓,赵立华,等.钢铁企业能源消耗与CO2减排关系[J].北京科技大学学报,2012,34(12):1445.(LU Xin,BAI Hao,ZHAO Li-hua,et al.Relationship between the energy consumption and CO2emission reduction of iron and steel plants[J].J Univ Sci Technol Beijing,2012,34(12):1445.)
[3]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,2015,37(1):97.(ZHAO Xian-cong,BAI Hao,LI Hong-xu,et al.Dynamic optimal distribution model of surplus byproduct gases in iron and steel making process[J].J Univ Sci Technol Beijing,2015,37(1):97.)
[4]李仁华,贾鸿屹.钢铁厂煤气利用项目的系统应用与优化[J].中国冶金,2017,27(3):54.(LI Ren-hua,JIA Hong-yi.Systematic application and optimization on gas using project of iron and steel plant[J].China Metallurgy,2017,27(3):54.)
[5]段坚.热电联产减温减压器供热优化分析[J].中国冶金,2015,25(10):70.(DUAN Jian.Optimization analysis on heat supply of combined heat and power temperature and pressure reducter[J].China Metallurgy,2015,25(10):70.)
[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.(ZHANG Qi,CAI Jiu-ju,PANG Xing-lu,et al.Optimal distribution of by-product gases in iron and steel complex[J].J Northeast Univ Nat Sci,2011,32(1):98.)
[7]王天义.多发电,节能减排,提升企业盈利能力——天津天丰钢铁提高自发电率调研[J].中国冶金,2016,26(11):1.(WANG Tian-yi.Multi power generation,energy saving and emission reduction,improve profitability of enterprises-Research of improving self generating rate of Tianjin Tianfeng Steel[J].China Metallurgy,2016,26(11):1.)
[8]宋军,蔡九菊,刘文超,等.钢铁联合企业煤气系统运行模式研究[J].中国冶金,2010,20(12):39.(SONG Jun,CAI Jiu-Ju,LIU Wen-chao,et al.Research on operation mode of gas system in iron and steel joint enterprise[J].China Metallurgy,2010,20(12):39.))
[9]YANG J H,CAI J J,SUN W Q,et al.Optimization and scheduling of byproduct gas system in steel plant[J].Journal of Iron and Steel Research,International,2015,22(5):408.
[10]SUN W Q,CAI J J,SONG J.Plant-wide supply-demand forecast and optimization of byproduct gas system in steel plant[J].Journal of Iron and Steel Research,International,2013,20(9):1.
[11]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.
[12]李红娟,王建军,王华,等.基于HP(2)-Elman模型的钢铁企业富余煤气预测及优化调度[J].钢铁研究学报,2013,25(7):11.(LI Hong-juan,WANG Jian-jun,WANG Hua,et al.Prediction and optimal operation of surplus gas in iron and steel enterprises based on HP(2)-Elman model[J].Journal of Iron and Steel Research,2013,25(7):11.)
[13]赵祖明.钢铁企业副产煤气系统运行优化研究[D].济南:山东大学,2015.(ZHAO Zu-ming.Research on Optimal Operation of Byproduct Gas System in Iron and Steel Enterprises[D].Jinan:Shandong University,2015.)
[14]HAN Z Y,ZHAO J,WANG W,et al.A two-stage method for predicting and scheduling energy in an oxygen/nitrogen system of the steel industry[J].Control Engineering Practice,2016,52:35.
[15]KONG H N.A green mixed integer linear programming model for optimization of byproduct gases in iron and steel industry[J].Journal of Iron and Steel Research,International,2015,22(8):681.
[16]Dutta G,Sinha G P,Roy P N,et al.A linear programming model for distribution of electrical energy in a steel plant[J].International Transactions in Operational Research,2010,1(1):17.
[17]Kermani M,Périn-Levasseur Z,Benali M,et al.An improved linear programming approach for simultaneous optimization of water and energy[J].Computer Aided Chemical Engineering,2014,33:1561.
[18]曹建全,袁贞,郝飞,等.基于流程网络的高炉煤气系统分析[J].自动化与信息工程,2013,34(2):14.(CAO Jian-quan,YUAN Zhen,HAO Fei,et al.Analysis for the blast furnace gas system based on flow network[J].Automation and Information Engineering,2013,34(2):14.)
[19]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.(TIAN Yong-hua.Study on Reasonable Utilization and Optimizing Distribution of Steam in Iron and Steel Company[D].Shenyang:Northeastern University,2011.)
[20]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(4):47.(LIU Jing-yu,CAI Jiuju,YANG Jing-hui,et al.Dynamic analysis of energy flow network of steam medium in iron and steel industry[J].China Metallurgy,2013(4):47.)
[21]李红娟.钢铁企业煤气系统预测及优化调度研究[D].昆明:昆明理工大学,2013.(LI Hong-juan.Iron and steel Enterprise Gas system Prediction and Optimal Operation Research[D].Kunming:Kunming University of Science and Technology,2013.)
[22]LI L,LI H J.Forecasting and optimal probabilistic scheduling of surplus gas systems in iron and steel industry[J].Journal of Central South University,2015,22(4):1437.
[23]李红娟,熊文真.钢铁企业副产煤气预测及优化调度[J].钢铁,2016,51(8):90.(LI Hong-juan,XIONG Wen-zhen.Prediction and optimal operation on byproduct gas system insteel enterprises[J].Iron and Steel,2016,51(8):90.)
[24]ZHAO J,WANG W,SUN K,et al.A bayesian networks structure learning and reasoning-based byproduct gas scheduling in steel industry[J].IEEE Transactions on Automation Science and Engineering,2014,11(4):1149.
[25]Kim J H,Yi H S,Han C,et al.A novel MILP model for plantwide multiperiod optimization of byproduct gas supply system in the iron and steel making process[J].Chemical Engineering Research and Design,2003,81(8):1015.
[26]ZHAO X,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.
[27]ZHAO X,BAI H,LU X,et al.A MILP model concerning the optimisation of penalty factors for the short-term distribution of byproduct gases produced in the iron and steel making process[J].Applied Energy,2015,148(2):142.
[28]孙良旭,曲殿利.一种自适应差分进化算法在煤气分配中的应用[J].钢铁研究学报,2016,28(2):33.(SUN Liang-xu,QU Dian-li.An application of adaptive differential evolution algorithm in gas distribution[J].Journal of Iron and Steel Research,2016,28(2):33.)
[29]曾玉娇,孙彦广.钢铁企业蒸汽-电力系统多时段优化调度[C]//第25届中国过程控制会议论文集.大连:中国自动化学会过程控制专业委员会,2014:8.(ZENG Yu-jiao,SUN Yanguang.Multi-period optimal scheduling of steam power system for iron and steel industry[C]//The 25th Chinese Process Control Conference.Dalian:Technical Committee on Process Control Chinese Association of Automation,2014:8.)
[30]曾亮,梁小兵,欧燕,等.钢铁企业煤气-蒸汽-电力等多介质多周期混合优化调度模型及算法[C]//全国冶金能源环保生产技术会论文集.武汉:中国金属学会,2014:252.(ZENG Liang,LIANG Xiao-bing,OU Yan,et al.Multi-period and multienergy-medium integrated optimal scheduling model and algorithm of gas-steam-electricity iron and steel enterprise[C]//Proceedings of the National Conference on Metallurgical Energy and Environmental Protection Production Technology.Wuhan:The Chinese Society for Metals,2014:252.)
[31]张琦,提威,杜涛,等.钢铁企业富余煤气-蒸汽-电力耦合模型及其应用[J].化工学报,2011,62(3):753.(ZHANG Qi,TI Wei,DU Tao,et al.Coupling model of gas-steam-electricity and its application in steel works[J].CIESC J,2011,62(3):753.)
[32]江文德.钢铁企业能源动态平衡和优化调度问题研究和系统设计[D].杭州:浙江大学,2006.(JIANG Wen-de.Research and Design of Energy Dynamic Balance and Optimal Schedule System in Iron and Steel Enterprise[D].Hangzhou:Zhejiang University,2006.)
[33]施琦,赵贤聪,白皓,等.钢铁企业副产煤气短周期优化调度模型[J].钢铁,2016,51(8):81.(SHI Qi,ZHAO Xian-cong,BAI Hao,et al.Short-term distribution model of byproduct gases in iron and steel enterprise[J].Iron and Steel,2016,51(8):81.)