144 citations · 820 across the 81 of their papers we have counts for
9 papers · 1 filter
A Comparison of Partitioning Strategies in AC Optimal Power Flow
Alexander Murray, Michael Kyesswa, Philipp Schmurr +2
The highly non-convex AC optimal power flow problem is known to scale very poorly with respect to the number of lines and buses. To achieve improved computational speed and scalabi…
Partially Distributed Outer Approximation
Alexander Murray, Timm Faulwasser, Veit Hagenmeyer +2
This paper presents a novel partially distributed outer approximation algorithm, named PaDOA, for solving a class of structured mixed integer convex programming (MICP) problems to…
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility
Karl Schwenk, Tim Harr, René Großmann +3
Electric Vehicle (EV) penetration and renewable energies enables synergies between energy supply, vehicle users, and the mobility sector. However, also new issues arise for car man…
Time Delay in the Swing Equation: A Variety of Bifurcations
Tessina H. Scholl, Lutz Gröll, Veit Hagenmeyer
The present paper addresses the swing equation with additional delayed damping as an example for pendulum-like systems. In this context, it is proved that recurring sub- and superc…
On Norm-Based Estimations for Domains of Attraction in Nonlinear Time-Delay Systems
Tessina H. Scholl, Veit Hagenmeyer, Lutz Gröll
For nonlinear time-delay systems, domains of attraction are rarely studied despite their importance for technological applications. The present paper provides methodological hints…
Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources
Riccardo Remo Appino, Veit Hagenmeyer, Timm Faulwasser
Scheduling the power exchange between a population of heterogeneous distributed energy resources and the corresponding upper-level system is an important control problem in power s…
Flat Hybrid Automata as a Class of Reachable Systems: Introductory Theory and Examples
Tobias Kleinert, Veit Hagenmeyer
Controlling hybrid systems is mostly very challenging due to the variety of dynamics these systems can exhibit. Inspired by the concept of differential flatness of nonlinear contin…
Chance-Constrained AC Optimal Power Flow -- A Polynomial Chaos Approach
T. Mühlpfordt, L. Roald, V. Hagenmeyer +2
As the share of renewables in the grid increases, the operation of power systems becomes more challenging. The present paper proposes a method to formulate and solve chance-constra…
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter
Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut +1
Parametric quantile regressions are a useful tool for creating probabilistic energy forecasts. Nonetheless, since classical quantile regressions are trained using a non-differentia…