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Decompositions of injection patterns for nodal flow allocation in renewable electricity networks

Author

Listed:
  • Mirko Schäfer

    (Aarhus University)

  • Bo Tranberg

    (Aarhus University
    Danske Commodities A/S, Vaerkmestergade 3)

  • Sabrina Hempel

    (Frankfurt Institute for Advanced Studies)

  • Stefan Schramm

    (Frankfurt Institute for Advanced Studies)

  • Martin Greiner

    (Aarhus University)

Abstract

The large-scale integration of fluctuating renewable power generation represents a challenge to the technical and economical design of a sustainable future electricity system. In this context, the increasing significance of long-range power transmission calls for innovative methods to understand the emerging complex flow patterns and to integrate price signals about the respective infrastructure needs into the energy market design. We introduce a decomposition method of injection patterns. Contrary to standard flow tracing approaches, it provides nodal allocations of link flows and costs in electricity networks by decomposing the network injection pattern into market-inspired elementary import/export building blocks. We apply the new approach to a simplified data-driven model of a European electricity grid with a high share of renewable wind and solar power generation.

Suggested Citation

  • Mirko Schäfer & Bo Tranberg & Sabrina Hempel & Stefan Schramm & Martin Greiner, 2017. "Decompositions of injection patterns for nodal flow allocation in renewable electricity networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(8), pages 1-11, August.
    • Handle: RePEc:spr:eurphb:v:90:y:2017:i:8:d:10.1140_epjb_e2017-80200-y
    DOI: 10.1140/epjb/e2017-80200-y
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    Citations

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    Cited by:

    1. Kunz, Friedrich, 2018. "Quo Vadis? (Un)scheduled electricity flows under market splitting and network extension in central Europe," Energy Policy, Elsevier, vol. 116(C), pages 198-209.
    2. Mads Raunbak & Timo Zeyer & Kun Zhu & Martin Greiner, 2017. "Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network," Energies, MDPI, vol. 10(12), pages 1-13, November.
    3. Tranberg, Bo & Schwenk-Nebbe, Leon J. & Schäfer, Mirko & Hörsch, Jonas & Greiner, Martin, 2018. "Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network," Energy, Elsevier, vol. 150(C), pages 122-133.
    4. Riepin, I. & Müsgens, F., 2019. "Seasonal Flexibility in the European Natural Gas Market," Cambridge Working Papers in Economics 1976, Faculty of Economics, University of Cambridge.
    5. Fabian Hofmann & Markus Schlott & Alexander Kies & Horst Stöcker, 2020. "Flow Allocation in Meshed AC-DC Electricity Grids," Energies, MDPI, vol. 13(5), pages 1-15, March.

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    Keywords

    Statistical and Nonlinear Physics;

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