Publications (26)
Large problems are not necessarily hard: A case study on distributed NMPC paying off
Gösta Stomberg, Maurice Raetsch, Alexander Engelmann +1
A key motivation in the development of Distributed Model Predictive Control (DMPC) is to accelerate centralized Model Predictive Control (MPC) for large-scale systems. DMPC has the…
Towards economic NMPC for multi-stage AC optimal power flow
Timm Faulwasser, Alexander Engelmann
Recently there has been considerable progress on the analysis of stability and performance properties of so-called economic Nonlinear Model Predictive Control (NMPC) schemes; i.e.…
An essentially decentralized interior point method for control
Alexander Engelmann, Gösta Stomberg, Timm Faulwasser
Distributed and decentralized optimization are key for the control of networked systems. Application examples include distributed model predictive control and distributed sensing o…
Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN
Xu Du, Alexander Engelmann, Yuning Jiang +2
This paper proposes a structure exploiting algorithm for solving non-convex power system state estimation problems in distributed fashion. Because the power flow equations in large…
Approximations for Optimal Experimental Design in Power System Parameter Estimation
Xu Du, Alexander Engelmann, Timm Faulwasser +1
This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). Here, the main motivation is that OED has the poten…
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…