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The Economics of Flexible Nuclear Generation in Low-Carbon Power Systems: A Stochastic Dual Dynamic Programming approach

Author

Listed:
  • Ange Blanchard

    (CEC - Chaire Economie du Climat - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

  • Olivier Massol

    (IFPEN - IFP Energies nouvelles, IFP School, LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay, City University London)

Abstract

Overview This paper proposes a new way of modelling nuclear flexibility in a stochastic environment. The amount of cycling operations a reactor can undergo is considered as a fixed stock whose optimal dispatch is set with the use of a Stochastic Dual Dynamic Programming (SDDP) algorithm. This formulation allows considering the uncertain production from renewables and testing the resulting policy on hundreds of simulations. The modelling framework provided by this formulation is implemented on the French case, by 2035. Results show an increase in nuclear flexibility is largely achievable and can significantly reduce energy curtailment from renewables. Solar panels are the technology that most benefit from any increase in nuclear flexibility, with payoffs almost doubled in the most extreme considered case, compared to benchmark. Nuclear power plants profits are found to plateau for flexibility levels between benchmark and up to twice this value, which unleashes the potential of operating them in a loadfollowing mode more often. Methods In this study, we present a stochastic linear programming model for the hourly dispatch of the power system. The model considers electricity generation from different power plant technologies over a full year with 8760-time steps. To account for the intermittent nature of renewable energy sources, daily power generation from renewables is fixed to a set of possible values. Additionally, nuclear generation is allowed to vary within a specific range, which is determined during the SDDP training phase. The resulting policy ensures optimal use of nuclear flexibility while maintaining compliance with a maximum total power variation over the year. Results The method is applied on the French power system in 2035, with generating capacities fitting national energy plans. The results show that the increased flexibility of NPPs reduces the total cost of the system, but with winners and losers. Owners of Pumped Hydro Storage (PHS) may see reduced
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ange Blanchard & Olivier Massol, 2022. "The Economics of Flexible Nuclear Generation in Low-Carbon Power Systems: A Stochastic Dual Dynamic Programming approach," Post-Print hal-03894472, HAL.
  • Handle: RePEc:hal:journl:hal-03894472
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