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

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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.

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Notes

  1. Usually the swing bus is numbered 1 for the load flow studies. This bus sets the angular reference for all the other buses. Since it is the angle difference between two voltage sources that dictates the real and reactive power flow between them, the particular angle of the swing bus is not important.

  2. In electrical engineering, susceptance (\({\mathbf {B}}\)) is the imaginary part of admittance. The inverse of admittance is impedance and the real part of admittance is conductance. In SI units, susceptance is measured in siemens.

  3. Expressed in $/MWh or CHF/MWh.

  4. The reader is referred to the RITES (ORDECSYS 2013) and TOU (ORDECSYS 2014) projects, which were supported by the Swiss Federal Office of Energy.

  5. For more details on the global energy system, the reader is referred to ORDECSYS (2013, 2014).

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Acknowledgements

This research is supported by the Qatar National Research Fund under Grant Agreement n\(^o\) NPRP10-0212-170447 and by Canadian IVADO programme (VORTEX Project).

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Authors and Affiliations

  1. Business School, University Adolfo Ibañez, Santiago, Chile

    Frédéric Babonneau

  2. ORDECSYS, Place de l’Etrier 4, 1224, Chêne-Bougeries, Switzerland

    Frédéric Babonneau & Alain Haurie

  3. University of Geneva, Geneva, Switzerland

    Alain Haurie

  4. GERAD-HEC, Montreal, Canada

    Alain Haurie

Authors
  1. Frédéric Babonneau
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  2. Alain Haurie
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Correspondence to Frédéric Babonneau.

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Babonneau, F., Haurie, A. Energy technology environment model with smart grid and robust nodal electricity prices. Ann Oper Res 274, 101–117 (2019). https://doi.org/10.1007/s10479-018-2920-1

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  • DOI: https://doi.org/10.1007/s10479-018-2920-1

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