제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

Development of models for the prediction of electric power supply-demand and the optimal operation of power plants at iron and steel works

  • Lee, Dae-Sung (Automation Research Center Reasearch Institute of Industrial Science and Technology Department of chemical engineering, POSTECH Pohang P.O. Box 125, Korea 790-600) ;
  • Yang, Dae-Ryook (Automation Research Center Reasearch Institute of Industrial Science and Technology Department of chemical engineering, POSTECH Pohang P.O. Box 125, Korea 790-600) ;
  • Lee, In-Beum (Automation Research Center Reasearch Institute of Industrial Science and Technology Department of chemical engineering, POSTECH Pohang P.O. Box 125, Korea 790-600) ;
  • Chang, Kun-Soo (Automation Research Center Reasearch Institute of Industrial Science and Technology Department of chemical engineering, POSTECH Pohang P.O. Box 125, Korea 790-600)
  • Published : 1992.10.01
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Abstract

In order to achieve stable and efficient use of energy at iron and steel works, a model for the prediction of supply and demand of electric power system is developed on the basis of the information on operation and particular patterns of electric power consumption. The optimal amount of electric power to be purchased and the optimal fuel allocation for the in-house electric power plants are also obtained by a mixed-integer linear programming(MILP) and a nonlinear programming (NLP) solutions, respectively. The validity and the effectiveness of the proposed model are investigated by several illustrative examples. The simulation results show the satisfactory energy saving by the optimal solution obtained through this research.

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