most citedAnalytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow

14 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY202214 cited

Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow

Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig +1

The increase in renewable energy sources (RESs), like wind or solar power, results in growinguncertainty also in transmission grids. This affects grid stability through fluctuating…

eess.SY20221 cited

Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow

Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig +1

The increase in renewable energy sources (RESs), like wind or solar power, results in growing uncertainty also in transmission grids. This affects grid stability through fluctuatin…

eess.SY2020

Distributed Control of Charging for Electric Vehicle Fleets under Dynamic Transformer Ratings

Micah Botkin-Levy, Alexander Engelmann, Tillmann Mühlpfordt +2

Due to their large power draws and increasing adoption rates, electric vehicles (EVs) will become a significant challenge for electric distribution grids. However, with proper char…

eess.SY2020

PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control

Tillmann Mühlpfordt, Frederik Zahn, Veit Hagenmeyer +1

Polynomial chaos expansion (PCE) is an increasingly popular technique for uncertainty propagation and quantification in systems and control. Based on the theory of Hilbert spaces a…

eess.SY2020

Modeling and simulation of sector-coupled networks: A gas-power benchmark

Eike Fokken, Tillmann Mühlpfordt, Timm Faulwasser +2

In this contribution, we aim at presenting a gas-to-power benchmark problem that can be used for the simulation of electricity and gas networks in a time-dependent environment. Bas…