期刊文献+

钢铁企业自发电与外购国家电网电之间的经济利益

Economic Benefit Between Autonomous Power and Purchasing Power from State Grid in Iron and Steel Enterprises
下载PDF
导出
摘要 针对当前钢铁联合企业自产电和国家电网价格之间的关系,利用经济规划方法建立了基于自发电的最优经济运营模型.通过求解企业利润最大的目标函数,并讨论分析在国家电网峰、谷、平时电价企业的最优生产计划.最优结果显示,企业利润的高低主要与购入电力转售后的单位利润贡献率、自供电的单位利润率及其上网的售电量有关系.鼓励企业在谷价时尽量外购电,少发电;而在峰价时,尽量自发电,少外购电,富余的电上网销售. In viewof the current price relationship between autonomous power and state grid power in iron and steel enterprises,an optimal economic management model of autonomous power plant was established using the method of economic planning. The optimal production and distribution plan of enterprise and the optimal power purchasing scheme considering the peakvalley power prices were discussed by solving the enterprise ’s profit maximum function. The optimal schemes and results showthat the level of the enterprise’s benefit has relationships mainly with the buying-power unit profit contribution after resale,the power supply unit profit and the quantity of power sale to grid. It is encouraged that,more outsourcing and less autonomous power is used as far as possible at the valley price of grid power,and more autonomous and less outsourcing power is used as far as possible and surplus electricity is saled online at the peak price of grid power.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2015年第7期980-984,共5页 Journal of Northeastern University(Natural Science)
基金 辽宁省教育厅科学技术研究项目(L2012082)
关键词 钢铁联合企业 自发电 国家电网 经济运营模型 最优生产计划 integrated iron and steel enterprises autonomous power state grid economic management model optimal production plan
  • 相关文献

参考文献9

  • 1Dutta G, Sinha G P, Roy P N. A linear programming modelfor distribution of electrical International Transactions in (1) :17 -29. energy in a steel plant [ J ]. Operational Research, 1994,1.
  • 2Ashok S. Peak-load management in steel plants [ J ]. Applied Energy,2006,83(5) :413 -424.
  • 3Ostadi B, Moazzami D, Rezaie K. A non-linear programming model for optimization of the electrical energy consumption in typical factory [ J ]. Applied Mathematics and Computation,2007,187 ( 2 ) : 944 - 950.
  • 4郑静,杜秀华,史新祈.大型钢铁企业电力负荷的短期预测研究[J].电力需求侧管理,2004,6(1):18-21. 被引量:18
  • 5林海英,李建荣,宣菊琴,魏宏俊.钢铁行业负荷特性及需求侧管理潜力分析[J].华东电力,2005,33(11):53-57. 被引量:12
  • 6周佃民,李凯,李关定,陈忠平,顾建军.钢铁企业负荷管理系统设计与实现[J].电力需求侧管理,2008,10(1):28-30. 被引量:11
  • 7盛刚,孙彦广,梁青艳.钢铁企业电力负荷分析与预测模型的探讨[J].冶金自动化,2011,35(supl):676-679.
  • 8Liu J Y,Cai J J . An optimization model based on electric power generation in steel industry [ EB/OL]. [ 2014 -01 - 18 ]. http ://dx. doi. org/10.1155/2014/924960.
  • 9刘精宇,蔡九菊,杨靖辉.钢铁联合企业发电模式的研究[J].中国冶金,2013,23(1):50-53. 被引量:4

二级参考文献15

  • 1高山.短期负荷预测的神经网络实现[J].电力需求侧管理,2001,3(6):22-24. 被引量:6
  • 2史新祈 杜秀华 席裕庚 曹希仁 郭雷.大型钢铁企业电力负荷的短期预测研究[A].席裕庚,曹希仁,郭雷.第四届全球华人智能控制与自动化大会论文集[C].上海:华东理工大学出版社,2002.1 097-1 100.
  • 3黄锦泰 程正兴.小波分析导论[M].西安:西安交通大学出版社,1995..
  • 4从爽.面向MATLAB工具箱的神经网络理论与应用[M].合肥:中国科学技术大学出版社,1998..
  • 5Kirschen D S.Demand-side view of electricity markets[J].IEEE Trans.On Power Systems,2003,18(2):520-527.
  • 6Billinton R,Lakhanpal D.Impacts of demand-side management on reliability cost/reliability worth analysis[J].IEE Proceedings of Gener.Trans.And Distri.,1996,143(3):225-231.
  • 7Brown,R.E.Impact of Smart Grid on Distribution System Design[].Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the st Century.2008
  • 8Alessandro Franco,Nicola Giannini.A general method for the opti-mum design of heat recovery steam generators[].Energy.2006
  • 9Manninen,J,& Zhu,X.X.Thermodynamic Analysis and Mathematical Optimisation of Power Plants[].Computers and Chemistry.1998
  • 10Casarosa C,Donatini F,Franco A.Thermoeconomic optimization of heat recovery steam generators operating parameters for combined plants[].Energy.2004

共引文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部