Abstract：Cooperative optimization of material flow network and energy flow network in iron and steel enterprises is the key to realize energy saving of highlevel 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 TimeofUse (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 gassteampower 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 realtime 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 gassteampower 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.
贺东风，刘平泽，冯凯，徐安军. 钢铁企业轧制计划与能源调度协同优化[J]. 中国冶金, 2019, 29(4): 75-80.
HE Dongfeng，LIU Pingze，FENG Kai，XU Anjun. Collaborative optimization of rolling plan and energy dispatching in steel plants[J]. China Metallurgy, 2019, 29(4): 75-80.
2019, Vol. 29 
