6 papers
A Distributed Active Set Method for Model Predictive Control
Gösta Stomberg, Alexander Engelmann, Timm Faulwasser
This paper presents a novel distributed active set method for model predictive control of linear systems. The method combines a primal active set strategy with a decentralized conj…
Essentially Decentralized Conjugate Gradients
Alexander Engelmann, Timm Faulwasser
Solving structured systems of linear equations in a non-centralized fashion is an important step in many distributed optimization and control algorithms. Fast convergence is requir…
Distributed Power Flow and Distributed Optimization -- Formulation, Solution, and Open Source Implementation
Tillmann Mühlpfordt, Xinliang Dai, Alexander Engelmann +1
Solving the power flow problem in a distributed fashion empowers different grid operators to compute the overall grid state without having to share grid models-this is a practical…
Online power system parameter estimation and optimal operation
Xu Du, Alexander Engelmann, Timm Faulwasser +1
The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models. Classically, parameter estimation and optimization-…
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…
Optimal Experiment Design for AC Power Systems Admittance Estimation
Xu Du, Alexander Engelmann, Yuning Jiang +2
The integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topolo…