17 citations · 38 across the 14 of their papers we have counts for
8 papers · 1 filter
Distributed Frequency and Voltage Control for AC Microgrids based on Primal-Dual Gradient Dynamics
Lukas Kölsch, Katharina Wieninger, Stefan Krebs +1
With the gradual transformation of power generation towards renewables, distributed energy resources are becoming more and more relevant for grid stabilization. In order to involve…
Inverse Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning
Jairo Inga, Esther Bischoff, Florian Köpf +1
We consider the inverse problem of dynamic games, where cost function parameters are sought which explain observed behavior of interacting players. Maximum entropy inverse reinforc…
Deep Decentralized Reinforcement Learning for Cooperative Control
Florian Köpf, Samuel Tesfazgi, Michael Flad +1
In order to collaborate efficiently with unknown partners in cooperative control settings, adaptation of the partners based on online experience is required. The rather general and…
Distributed Frequency Regulation for Heterogeneous Microgrids via Steady State Optimal Control
Lukas Kölsch, Manuel Dupuis, Kirtan Bhatt +2
In this paper, we present a model-based frequency controller for microgrids with nonzero line resistances based on a port-Hamiltonian formulation of the microgrid model and real-ti…
Steady-State Optimal Frequency Control for Lossy Power Grids with Distributed Communication
Lukas Kölsch, Kirtan Bhatt, Stefan Krebs +1
We present a distributed and price-based control approach for frequency regulation in power grids with nonzero line conductances. Both grid and controller are modeled as a port-Ham…
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters
Florian Köpf, Simon Ramsteiner, Michael Flad +1
In order to autonomously learn to control unknown systems optimally w.r.t. an objective function, Adaptive Dynamic Programming (ADP) is well-suited to adapt controllers based on ex…