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Network Reduction for Optimal Flow Problems


Matthias Fetzner

Adrian Hauswirth, Sandro Merkli

With the increasing integration of distributed renewable energy generation, demand response schemes and distributed storage at low-voltage grid levels there is need for advanced computational tools that enable the analysis and control of distribution grids. This project is concerned with improving computational performance of optimal power flow in low-voltage grids. The proposed line of investigation is based on the fact that distribution grids offer relatively few decision/control variables. Therefore, network reduction techniques can potentially be employed to eliminate uncontrollable parts of the power grid from the optimization problem. The student will have the opportunity to gain experience in the fields of linear & semidefinite optimization, algebraic graph theory and power system modeling. No previous knowledge is required but general mathematical fluency and good knowledge of linear algebra is a plus.

Weitere Informationen

Florian Dörfler

Art der Arbeit:
Voraussetzungen: Linear algebra, introductory course in optimization
Anzahl StudentInnen:
Status: taken