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Reliability in Multi-regional Power Systems: Capacity Adequacy and the Role of Interconnectors

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  • Simeon Hagspiel, Andreas Knaut, and Jakob Peter

Abstract

Based upon probabilistic reliability metrics, we develop an optimization model to determine the efficient amount and location of firm generation capacity to achieve reliability targets in multi-regional electricity systems. A particular focus lies on the representation and contribution of transmission capacities as well as variable renewable resources. Calibrating our model with a comprehensive dataset for Europe, we find that there are substantial benefits from regional cooperation. The amount of firm generation capacity to meet a perfectly reliably system could be reduced by 36.2 GW (i.e., 6.4%) compared to an isolated regional approach, which translates to savings of 14.5 bn EUR. Interconnectors contribute in both directions, with capacity values up to their technical maximum of close to 200%, while wind power contributions are in the range of 3.8-29.5%. Furthermore, we find that specific reliability targets heavily impact the efficient amount and distribution of reliable capacity as well as the contribution of individual technologies.

Suggested Citation

  • Simeon Hagspiel, Andreas Knaut, and Jakob Peter, 2018. "Reliability in Multi-regional Power Systems: Capacity Adequacy and the Role of Interconnectors," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    • Handle: RePEc:aen:journl:ej39-5-peter
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    Cited by:

    1. Astier, Nicolas & Ovaere, Marten, 2022. "Reliability standards and generation adequacy assessments for interconnected electricity systems," Energy Policy, Elsevier, vol. 168(C).
    2. Crampes, Claude & Von Der Fehr, Nils-Henrik, 2022. "Decentralised Cross-Border Interconnection," TSE Working Papers 22-1315, Toulouse School of Economics (TSE).
    3. 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).

    More about this item

    JEL classification:

    • F0 - International Economics - - General

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