Optimal Scheduling of a Large-scale Electrolyzer for Grid Services Provision and Renewable Sourced-Hydrogen Production - Research Group ERSEI (Renewable Energies & SmartGrids) at Centre PERSEE - MINES ParisTech/ARMINES Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2024

Optimal Scheduling of a Large-scale Electrolyzer for Grid Services Provision and Renewable Sourced-Hydrogen Production

Résumé

Low-carbon hydrogen is expected to be crucial to the energy transition in the coming years. However, its production is not yet competitive with fossil-fuel-based hydrogen production. This paper proposes an economic analysis of an electrolyzer providing grid services combined with multi-market participation to fully exploit the flexibility potential of this technology. Optimization under uncertainty is combined with a rolling horizon algorithm to simulate the dayto-day trading decisions of the plant, first in a deterministic, then in a robust fashion. The impact of the multiple uncertainty sources on the production cost reduction is assessed. The case of German markets combined with the ENTSO-E harmonization project for secondary frequency reserve is considered. The effects of the 2021 energy crisis on the different strategies is also analyzed. The results show that both uncertain approaches behave similarly when adding the reserve, with a cash flow increase of around 10% before the crisis but a higher exposure to risk. The addition of reserve provision during the crisis drastically improves the performance of uncertain strategies with close to a 300% increase in cash flow. The robust approach greatly reduces the imbalances caused by wind power generation uncertainty compared to its deterministic counterpart. Finally, the addition of reserve provision induces a notable decrease in the green H2 breakeven price, but not enough to compensate for the costs associated with high electricity market prices.
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Dates et versions

hal-04427029 , version 1 (30-01-2024)

Identifiants

  • HAL Id : hal-04427029 , version 1

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Sylvain Ledur, Robin Molinier, Simon Camal, Moulay-Driss Elalaouifaris, Georges Kariniotakis. Optimal Scheduling of a Large-scale Electrolyzer for Grid Services Provision and Renewable Sourced-Hydrogen Production. 2024. ⟨hal-04427029⟩
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