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

Author

Listed:
  • Frédéric Babonneau

    (University Adolfo Ibañez
    ORDECSYS)

  • Alain Haurie

    (ORDECSYS
    University of Geneva
    GERAD-HEC)

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.

Suggested Citation

  • Frédéric Babonneau & Alain Haurie, 2019. "Energy technology environment model with smart grid and robust nodal electricity prices," Annals of Operations Research, Springer, vol. 274(1), pages 101-117, March.
    • Handle: RePEc:spr:annopr:v:274:y:2019:i:1:d:10.1007_s10479-018-2920-1
    DOI: 10.1007/s10479-018-2920-1
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    References listed on IDEAS

    as
    1. Babonneau, Frédéric & Caramanis, Michael & Haurie, Alain, 2016. "A linear programming model for power distribution with demand response and variable renewable energy," Applied Energy, Elsevier, vol. 181(C), pages 83-95.
    2. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    3. A. L. Soyster, 1973. "Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming," Operations Research, INFORMS, vol. 21(5), pages 1154-1157, October.
    4. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    5. Frédéric Babonneau & Alain Haurie & Guillaume Jean Tarel & Julien Thénié, 2012. "Assessing the Future of Renewable and Smart Grid Technologies in Regional Energy Systems," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 229-273, June.
    6. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Yu-Chung Tsao & Thuy-Linh Vu, 2023. "Electricity pricing, capacity, and predictive maintenance considering reliability," Annals of Operations Research, Springer, vol. 322(2), pages 991-1011, March.
    2. Sajad Aliakbari Sani & Olivier Bahn & Erick Delage & Rinel Foguen Tchuendom, 2022. "Robust Integration of Electric Vehicles Charging Load in Smart Grid’s Capacity Expansion Planning," Dynamic Games and Applications, Springer, vol. 12(3), pages 1010-1041, September.
    3. Aliakbari Sani, Sajad & Bahn, Olivier & Delage, Erick, 2022. "Affine decision rule approximation to address demand response uncertainty in smart Grids’ capacity planning," European Journal of Operational Research, Elsevier, vol. 303(1), pages 438-455.
    4. Babonneau, Frédéric & Benlahrech, Maroua & Haurie, Alain, 2022. "Transition to zero-net emissions for Qatar: A policy based on Hydrogen and CO2 capture & storage development," Energy Policy, Elsevier, vol. 170(C).
    5. Hongtao Ren & Wenji Zhou & Hangzhou Wang & Bo Zhang & Tieju Ma, 2022. "An energy system optimization model accounting for the interrelations of multiple stochastic energy prices," Annals of Operations Research, Springer, vol. 316(1), pages 555-579, September.
    6. Ferrada, Francisco & Babonneau, Frederic & Homem-de-Mello, Tito & Jalil-Vega, Francisca, 2023. "The role of hydrogen for deep decarbonization of energy systems: A Chilean case study," Energy Policy, Elsevier, vol. 177(C).
    7. Sajad Aliakbari Sani & Azadeh Maroufmashat & Frédéric Babonneau & Olivier Bahn & Erick Delage & Alain Haurie & Normand Mousseau & Kathleen Vaillancourt, 2022. "Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework," Energies, MDPI, vol. 15(10), pages 1-18, May.
    8. Frédéric Babonneau & Javiera Barrera & Javiera Toledo, 2021. "Decarbonizing the Chilean Electric Power System: A Prospective Analysis of Alternative Carbon Emissions Policies," Energies, MDPI, vol. 14(16), pages 1-16, August.
    9. F. Babonneau & R. T. Foguen & A. Haurie & R. Malhamé, 2021. "Coupling a Power Dispatch Model with a Wardrop or Mean-Field-Game Equilibrium Model," Dynamic Games and Applications, Springer, vol. 11(2), pages 217-241, June.

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