An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise

Reducing electricity cost is important for energy intensive enterprises (EIEs) with self generation power plant, like iron and steel plants. Such an EIE integrates power generation, power consumption and energy storage into a unified whole, and become an enterprise microgrid. Recent methods considering only load scheduling or only power generation scheduling cannot get the minimum total electricity cost. In this paper, an integrated optimization model for generation and batch production load scheduling in EIE is researched to get the minimum electricity cost, without violating constraints of production process. Linearization techniques are utilized to duel with nonlinear factors of the model. Then, mixed integer linear programming (MILP) is used for model solution. The case study of an iron and steel plant shows that the model is effective under a time-of-use (TOU) tariff implemented by the utility.