Effect of Minimum Up and Down Time Constraints with Fully Flexible Temporal Resolutions
Integrating Clustered Unit Commitment Constraints in the Tulipa Energy Model
G. Tertelici (TU Delft - Electrical Engineering, Mathematics and Computer Science)
G.A. Morales-España – Mentor (TU Delft - Algorithmics)
M.B. Elgersma – Mentor (TU Delft - Algorithmics)
J.E.A.P. Decouchant – Graduation committee member (TU Delft - Data-Intensive Systems)
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Abstract
In recent literature fully flexible temporal resolutions have been proposed as a new form of temporal clustering in generation expansion planning models, showing promising benefits in terms of the tradeoff between solution accuracy and computation time. However, unit commitment constraints such as minimum up and down times have not yet been considered in combination with these resolutions. This paper introduces minimum up and down time (MU/MD) constraints to fully flexible time resolutions and shows the effects of including them when doing generation expansion planning. This is done by constructing a case study based on the European energy grid and comparing the effects of adding MU/MD constraints to a model with a fully flexible time resolution in the form of the geographically decreasing resolution. The paper shows that the addition of minimum up and down time constraints maintains the benefits of fully flexible time resolutions, but comes with additional computation time and also has little effect on the optimal solution cost for the case study examined.