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Cost-Optimal Power System Extension under Flow-Based Market Coupling

Author

Listed:
  • Hagspiel, Simeon

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Jägemann, Cosima

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Lindenberger, Dietmar

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Brown, Tom

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Cherevatskiy, Stanislav

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Tröster, Eckehard

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

Abstract
Electricity market models, implemented as dynamic programming problems, have been applied widely to identify possible pathways towards a cost-optimal and low carbon electricity system. However, the joint optimization of generation and transmission remains challenging, mainly due to the fact that diff erent characteristics and rules apply to commercial and physical exchanges of electricity in meshed networks. This paper presents a methodology that allows to optimize power generation and transmission infrastructures jointly through an iterative approach based on power transfer distribution factors (PTDFs). As PTDFs are linear representations of the physical load flow equations, they can be implemented in a linear programming environment suitable for large scale problems. The algorithm iteratively updates PTDFs when grid infrastructures are modifi ed due to cost-optimal extension and thus yields an optimal solution with a consistent representation of physical load flows. The method is first demonstrated on a simpli fied three-node model where it is found to be robust and convergent. It is then applied to the European power system in order to fi nd its cost-optimal development under the prescription of strongly decreasing CO2 emissions until 2050.

Suggested Citation

  • Hagspiel, Simeon & Jägemann, Cosima & Lindenberger, Dietmar & Brown, Tom & Cherevatskiy, Stanislav & Tröster, Eckehard, 2013. "Cost-Optimal Power System Extension under Flow-Based Market Coupling," EWI Working Papers 2013-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    • Handle: RePEc:ris:ewikln:2013_009
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    References listed on IDEAS

    as
    1. Juan Rosellón & Hannes Weigt, 2011. "A Dynamic Incentive Mechanism for Transmission Expansion in Electricity Networks: Theory, Modeling, and Application," The Energy Journal, , vol. 32(1), pages 119-148, January.
    2. Céline Jullien & Virginie Pignon & Stéphane Robin & Carine Staropoli, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Post-Print halshs-00617026, HAL.
    3. Juan Rosellón, Ingo Vogelsang, and Hannes Weigt, 2012. "Long-run Cost Functions for Electricity Transmission," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    4. R. E. Griffith & R. A. Stewart, 1961. "A Nonlinear Programming Technique for the Optimization of Continuous Processing Systems," Management Science, INFORMS, vol. 7(4), pages 379-392, July.
    5. Jullien, Céline & Pignon, Virginie & Robin, Stéphane & Staropoli, Carine, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Energy Economics, Elsevier, vol. 34(1), pages 1-13.
    6. Neuhoff, Karsten & Barquin, Julian & Bialek, Janusz W. & Boyd, Rodney & Dent, Chris J. & Echavarren, Francisco & Grau, Thilo & von Hirschhausen, Christian & Hobbs, Benjamin F. & Kunz, Friedrich & Nabe, 2013. "Renewable electric energy integration: Quantifying the value of design of markets for international transmission capacity," Energy Economics, Elsevier, vol. 40(C), pages 760-772.
    7. Wu, F.F & Zheng, F.L. & Wen, F.S., 2006. "Transmission investment and expansion planning in a restructured electricity market," Energy, Elsevier, vol. 31(6), pages 954-966.
    8. Céline Jullien & Virginie Pignon & Stéphane Robin & Carine Staropoli, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00617026, HAL.
    9. Richter, Jan, 2011. "DIMENSION - A Dispatch and Investment Model for European Electricity Markets," EWI Working Papers 2011-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Chao, Hung-po & Peck, Stephen & Oren, Shmuel & Wilson, Robert, 2000. "Flow-Based Transmission Rights and Congestion Management," The Electricity Journal, Elsevier, vol. 13(8), pages 38-58, October.
    11. Bushnell, James B. & Stoft, Steven E., 1997. "Improving private incentives for electric grid investment," Resource and Energy Economics, Elsevier, vol. 19(1-2), pages 85-108, March.
    12. Hogan, William W, 1992. "Contract Networks for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 4(3), pages 211-242, September.
    13. Fürsch, Michaela & Hagspiel, Simeon & Jägemann, Cosima & Nagl, Stephan & Lindenberger, Dietmar & Tröster, Eckehard, 2013. "The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050," Applied Energy, Elsevier, vol. 104(C), pages 642-652.
    14. Nagl, Stephan & Fürsch, Michaela & Paulus, Moritz & Richter, Jan & Trüby, Johannes & Lindenberger, Dietmar, 2011. "Energy policy scenarios to reach challenging climate protection targets in the German electricity sector until 2050," Utilities Policy, Elsevier, vol. 19(3), pages 185-192.
    15. Thomas E. Baker & Leon S. Lasdon, 1985. "Successive Linear Programming at Exxon," Management Science, INFORMS, vol. 31(3), pages 264-274, March.
    16. Chao, Hung-Po & Peck, Stephen, 1996. "A Market Mechanism for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 10(1), pages 25-59, July.
    17. Karsten Neuhoff & Benjamin F. Hobbs & David Newbery, 2011. "Congestion Management in European Power Networks: Criteria to Assess the Available Options," Discussion Papers of DIW Berlin 1161, DIW Berlin, German Institute for Economic Research.
    18. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, vol. 88(2), pages 432-441, February.
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    More about this item

    Keywords

    Power system planning; Power generation and transmission; Iterative linear optimization; PTDF; Electricity market model; Power flow model; Flow-based market coupling;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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