Energy technology environment model with smart grid and robust nodal electricity prices

Energy technology environment model with smart grid and robust nodal electricity prices 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Operations Research Springer Journals

Energy technology environment model with smart grid and robust nodal electricity prices

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Business and Management; Operations Research/Decision Theory; Combinatorics; Theory of Computation
ISSN
0254-5330
eISSN
1572-9338
D.O.I.
10.1007/s10479-018-2920-1
Publisher site
See Article on Publisher Site

Abstract

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

Journal

Annals of Operations ResearchSpringer Journals

Published: Jun 6, 2018

References

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