Generation expansion planning under uncertainty: An application of stochastic methods to the German electricity system

  title={Generation expansion planning under uncertainty: An application of stochastic methods to the German electricity system},
  author={Mario Kendziorski and Mona Setje-Eilers and Friedrich Kunz},
  journal={2017 14th International Conference on the European Energy Market (EEM)},
Renewable energies are expected to be the main electricity generation source. However, the variability of renewable energy supply poses challenges to the generation expansion modelling as uncertainty of hourly generation need to be adequately taken into account. This paper analyzes the implications of different approaches to optimization under uncertainty, ranging from stochastic to robust optimization. We apply these specific approaches to the German electricity system in 2035 and compare them… Expand
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