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Optimal Allocation of Variable Renewable Energy Considering Contributions to Security of Supply

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Listed:
  • Peter, Jakob

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

  • Wagner, Johannes

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

Abstract

Electricity markets are increasingly influenced by variable renewable energy such as wind and solar power with a pronounced weather-induced variability and imperfect predictability. As a result, the evaluation of the capacity value of variable renewable energy, i.e. its contribution to security of supply, gains importance. This paper develops a new methodology to endogenously determine the capacity value in large-scale investment and dispatch models for electricity markets. The framework allows to account for balancing effects due to the spatial distribution of generation capacities and interconnectors. The practical applicability of the methodology is shown with an application for wind power in Europe. We find that wind power can substantially contribute to security of supply in a decarbonized European electricity system in 2050, with regional capacity values ranging from 1 - 40%. Analyses, which do not account for the temporal and spatial heterogeneity of the contribution of wind power to security of supply therefore lead to inefficient levels of dispatchable back-up capacity. Applying a fixed wind power capacity value of 5% results in an overestimation of firm capacity requirements in Europe by 66GW in 2050. This translates to additional firm capacity provision costs of 3.8 bn EUR per year in 2050, which represents an increase of 7%.

Suggested Citation

  • Peter, Jakob & Wagner, Johannes, 2018. "Optimal Allocation of Variable Renewable Energy Considering Contributions to Security of Supply," EWI Working Papers 2018-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2018_002
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    References listed on IDEAS

    as
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    Cited by:

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    3. Schreiner, Lena & Madlener, Reinhard, 2021. "A pathway to green growth? Macroeconomic impacts of power grid infrastructure investments in Germany," Energy Policy, Elsevier, vol. 156(C).
    4. Paul Simshauser & Farhad Billimoria & Craig Rogers, 2021. "Optimising VRE plant capacity in Renewable Energy Zones," Working Papers EPRG2121, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Inka Ruponen & Mariia Kozlova & Mikael Collan, 2021. "Ex-Ante Study of Biofuel Policies–Analyzing Policy-Induced Flexibility," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    6. Simshauser, P., 2021. "Renewable Energy Zones in Australia’s National Electricity Market," Cambridge Working Papers in Economics 2119, Faculty of Economics, University of Cambridge.
    7. Mariia Kozlova & Alena Lohrmann, 2021. "Steering Renewable Energy Investments in Favor of Energy System Reliability: A Call for a Hybrid Model," Sustainability, MDPI, vol. 13(24), pages 1-18, December.

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    More about this item

    Keywords

    Reliability of supply; Capacity adequacy; Multi-regional power system; Wind power; Power system modeling;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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