3 citations · 6 across the 6 of their papers we have counts for
9 papers
MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
Willem Esterhuizen, Philipp Sauerteig, Stefan Streif +1
We consider the SEIR compartmental epidemic model subject to state and input constraints (a cap on the proportion of infectious individuals and limits on the allowed social distanc…
Deep Neural Network based Optimal Control of Greenhouses
Kiran Kumar Sathyanarayanan, Philipp Sauerteig, Stefan Streif
Automatic control of greenhouse crop production is of great interest owing to the increasing energy and labor costs. In this work, we use two-level control, where the upper level g…
Bidirectional Optimisation for Load Shaping within Coupled Microgrids
Philipp Sauerteig
We address the problem of load shaping within a network of coupled microgrids (MGs) in a bilevel optimisation framework. To this end, we consider the charging/discharging rates of…
Model Predictive Control Tailored to Epidemic Models
Philipp Sauerteig, Willem Esterhuizen, Mitsuru Wilson +3
We propose a model predictive control (MPC) approach for minimising the social distancing and quarantine measures during a pandemic while maintaining a hard infection cap. To this…
How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model
Sara Grundel, Stefan Heyder, Thomas Hotz +3
In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key as…
Distributed Optimization using ALADIN for MPC in Smart Grids
Yuning Jiang, Philipp Sauerteig, Boris Houska +1
This paper presents a distributed optimization algorithm tailored to solve optimization problems arising in smart grids. In detail, we propose a variant of the Augmented Lagrangian…
Distributed Control Enforcing Group Sparsity in Smart Grids
Philipp Sauerteig, Yuning Jiang, Boris Houska +1
In modern smart grids, charging of local energy storage devices is coordinated on a residential level to compensate the volatile aggregated power demand on the time interval of int…
Surrogate Models in Bidirectional Optimization of Coupled Microgrids
Manuel Baumann, Sara Grundel, Philipp Sauerteig +1
The energy transition entails a rapid uptake of renewable energy sources. Besides physical changes within the grid infrastructure, energy storage devices and their smart operation…
Towards multiobjective optimization and control of smart grids
Philipp Sauerteig, Karl Worthmann
The rapid uptake of renewable energy sources in the electricity grid leads to a demand in load shaping and flexibility. Energy storage devices such as batteries are a key element t…