|Title||Multivariate Uncertainty Modeling for Operation of Distributed Energy Resources in Smart Grids: A Spatial-Temporal Correlation Approach|
Master thesis idea in Computing Science or PPRE
|Home institution||Department of Computing Science|
|Type of work||conceptual / theoretical|
|Type of thesis||Master's degree|
|Author||Jelke Wibbeke, M. Sc.|
The aim of this thesis is to propose a multi-dimensional uncertainty model between DERs. Since the number of DERs is high in smart grids, the dimension of the model will be increased, and finding a mathematical solution will be complicated. The Copula function is one of those solutions that is able to decouple the problem into solvable terms. The goal of this thesis is to develop an uncertainty model for DERs, using Copula functions to model the correlations.
The thesis aims at students of computing science, PPRE, physics, or comparable courses of study who are interested in dealing with Theoritical studies, mathematical modeling, spatial statistics, and data science in the field of energy informatics. Previous knowledge in the area of renewable energies, power systems, and Python programming is desirable. The applicant should be willing to deal with the new topic in a motivated and independent way.
Payam Teimourzadeh Baboli
OFFIS – Institute for Infirmation Technologies
Escherweg 2, 26121 Oldenburg
 Project Homepage: https://www.offis.de/en/offis/project/sined.html
 P. Teimourzadeh Baboli, M. Brand and S. Lehnhoff, "Stochastic Correlation Modelling of Renewable Energy Sources for Provision of Ancillary Services using Multi-dimensional Copula Functions," 2021 11th Smart Grid Conference (SGC), 2021, pp. 1-6.
 Czado C, Nagler T. Vine copula based modeling. Annual Review of Statistics and Its Application. 2021;9.