Adjustable Robust Energy Operation Planning under Uncertain Renewable Energy Production
Anna Eingartner,
Steffi Naumann,
Philipp Schmitz
et al.
Abstract:In this paper, the application of the method of affinely adjustable robust optimization to a planning model of an energy system under uncertain parameters is presented, and the total scheduling costs in comparison with the deterministic model are evaluated. First, the basics of optimization under uncertain data are recapped, and it is described how these methods can be used in different applications for energy systems. This is followed by the methodology of adjustable robust optimization by defining the affine… Show more
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