Ann Oper Res https://doi.org/10.1007/s10479-018-2920-1 OR MODELING/CASE STUDY Energy technology environment model with smart grid and robust nodal electricity prices 1,2 2,3,4 Frédéric Babonneau · Alain Haurie © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper deals with the modeling of power ﬂow in a transmission grid within the multi-sectoral multi-energy long-term regional energy model ETEM-SG. This extension of the model allows a better representation of demand response for ﬂexible loads triggered by nodal marginal cost pricing. To keep the global model in the realm of linear programming one uses a linearized DC power ﬂow model that represents the transmission grid with the main constraints on the power ﬂowing through the different arcs of the electricity transmission network. Robust optimization is used to take into account the uncertainty on the capacity limits resulting from inter-regional transit. A numerical illustration is carried out for a data set corresponding roughly to the Leman Arc region. Keywords OR in energy · Long-term energy model · Power ﬂow · Robust nodal electricity prices · Robust optimization 1 Introduction The transition to sustainable energy system in Europe as in the rest of OECD countries involves an increase of distributed power generation
Annals of Operations Research – Springer Journals
Published: Jun 6, 2018
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