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Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration

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  • Spiecker, Stephan
  • Vogel, Philip
  • Weber, Christoph

Abstract

With increasing amounts of power generation from intermittent sources like wind, transmission planning has not only to account for the expected load curve but also for the stochasticity of volatile power infeeds. Moreover investments in power generation are no longer centrally planned in deregulated power markets but rather decided on competitive grounds by individual power companies. This poses particular challenges when it comes to evaluating the benefits of increased interconnection capacities in large-scale systems like the European transmission system.

Suggested Citation

  • Spiecker, Stephan & Vogel, Philip & Weber, Christoph, 2013. "Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration," Energy Economics, Elsevier, vol. 37(C), pages 114-127.
  • Handle: RePEc:eee:eneeco:v:37:y:2013:i:c:p:114-127
    DOI: 10.1016/j.eneco.2013.01.012
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    References listed on IDEAS

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    1. Hung-po Chao, 1983. "Peak Load Pricing and Capacity Planning with Demand and Supply Uncertainty," Bell Journal of Economics, The RAND Corporation, vol. 14(1), pages 179-190, Spring.
    2. Turvey, Ralph, 2006. "Interconnector economics," Energy Policy, Elsevier, vol. 34(13), pages 1457-1472, September.
    3. Martzoukos, Spiros H. & Teplitz-Sembitzky, Witold, 1992. "Optimal timing of transmission line investments in the face of uncertain demand : An option valuation approach," Energy Economics, Elsevier, vol. 14(1), pages 3-9, January.
    4. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    5. Möst, Dominik & Fichtner, Wolf, 2010. "Renewable energy sources in European energy supply and interactions with emission trading," Energy Policy, Elsevier, vol. 38(6), pages 2898-2910, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Electricity grid planning; Power system economics; Stochastic optimization; Wind power generation;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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