Wind farm strategic investment considering forecast errors penalties in a nodal prices market

Fiona Foucault (1) , Robin Girard (2) , Georges Kariniotakis (2)

1 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques
2 ERSEI - Renewable Energies & SmartGrids Group

In this work, we determine the optimal investment strategy of a wind producer in a local prices environment, taking into account the penalties for real-time imbalances. We assume these imbal- ances come from forecast errors on the considered renewable production only. To do so, we solve a bilevel optimization problem. The upper level problem corresponds to the revenue of the con- sidered producer, and the lower level problems correspond to the market clearings, taking place a day ahead of operations and on real-time. Indeed, we consider that imbalances penalties cor- respond to real-time prices such as is done in the American market PJM. Indeed, in a local prices framework, using real-time prices is a simple way to recover the financial amounts corresponding to the imbalances in power.

Domaines: Sciences de l'ingénieur [physics]; Energie électrique

Fiona Foucault, Robin Girard, Georges Kariniotakis. Wind farm strategic investment considering forecast errors penalties in a nodal prices market. EWEA 2014, Mar 2014, Spain. pp.1-9. ⟨hal-01002074⟩