In previous work, the unit commitment problem has been formulated as a non-convex MINLP, which is computationally expensive to solve. To circumvent this problem, we reformulate in this paper the problem as a convex MIQCP and derive the relevant constraints using propositional logic. We consider a specific problem based on a network of gas and oil fired power generators. Numerical results are presented using several methods (e.g. CPLEX for MIQCP, and DICOPT, SBB for MINLP). It is shown that proposed convex MIQCP reformulation can be solved much faster than previous non-convex models reported in the literature.
|Title of host publication||Proceedings of the 20th European Symposium on Computer Aided Process Engineering (Escape-20), 6-9 june 2010, Ischia, Naples, Italy|
|Editors||S. Pierucci, G. Buzzi Ferraris|
|Place of Publication||Amsterdam|
|Publication status||Published - 2010|
|Name||Computer Aided Chemical Engineering|
Zondervan, E., Grossmann, I. E., & Haan, de, A. B. (2010). Energy optimization in the process industries : unit commitment at systems level. In S. Pierucci, & G. Buzzi Ferraris (Eds.), Proceedings of the 20th European Symposium on Computer Aided Process Engineering (Escape-20), 6-9 june 2010, Ischia, Naples, Italy (pp. 1-6). (Computer Aided Chemical Engineering; Vol. 28). Elsevier.