Abstract
This paper presents a physically based model and formulation for industrial load management. The formulation utilizes an integer linear programming technique for minimizing the electricity costs by scheduling the loads satisfying the process, storage and production constraints. The proposed strategy is evaluated by a case study for a typical flour mill with different load management options. The results show that significant reductions in peak electricity consumption are possible under time of use tariffs.
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