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Nodal prices in an integrated energy system

Author

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  • Ana M. Quelhas
  • Esteban Gil
  • James D. McCalley

Abstract

This paper presents a multiperiod generalised network flow model used to analyse the economic interdependencies of integrated energy systems comprising the electric network and the various fuel supply and delivery systems in a medium term operational time frame. By using a network flow programming model, one can take advantage of much faster solution procedures than standard linear programming techniques; an issue of importance considering the dimensionality of such integrated systems. The nodal prices that are obtained as a byproduct of the optimisation algorithm provide a way to analyse the economic interdependencies between the various fuel networks and the electric network. A numerical example is presented to highlight the benefits of the methodology and illustrate how nodal prices in the electric network are influenced by the dynamics of the various fuel networks.

Suggested Citation

  • Ana M. Quelhas & Esteban Gil & James D. McCalley, 2006. "Nodal prices in an integrated energy system," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 2(1), pages 50-69.
    • Handle: RePEc:ids:ijcist:v:2:y:2006:i:1:p:50-69
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    Citations

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    Cited by:

    1. Jan Abrell and Hannes Weigt, 2016. "Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    2. Manfredi Crainz & Domenico Curto & Vincenzo Franzitta & Sonia Longo & Francesco Montana & Rossano Musca & Eleonora Riva Sanseverino & Enrico Telaretti, 2019. "Flexibility Services to Minimize the Electricity Production from Fossil Fuels. A Case Study in a Mediterranean Small Island," Energies, MDPI, vol. 12(18), pages 1-38, September.
    3. Bao, Shiyuan & Yang, Zhifang & Yu, Juan, 2021. "Decomposition and analysis of marginal prices in multi-energy systems," Energy, Elsevier, vol. 221(C).
    4. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    5. Sharan, Ishan & Balasubramanian, R., 2012. "Integrated generation and transmission expansion planning including power and fuel transportation constraints," Energy Policy, Elsevier, vol. 43(C), pages 275-284.
    6. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2017. "Optimal operation and marginal costs in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 135(C), pages 788-798.
    7. Lozano, M.A. & Carvalho, M. & Serra, L.M., 2009. "Operational strategy and marginal costs in simple trigeneration systems," Energy, Elsevier, vol. 34(11), pages 2001-2008.

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