Tillmann Muhlpfordt

Orcid: 0000-0002-2231-7821

According to our database1, Tillmann Muhlpfordt authored at least 19 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings.
IEEE Trans. Control. Syst. Technol., 2022

Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow.
CoRR, 2022

Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2020
Uncertainty Quantification via Polynomial Chaos Expansion - Methods and Applications for Optimization of Power Systems
PhD thesis, 2020

Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions".
IEEE Control. Syst. Lett., 2020

Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation.
CoRR, 2020

PolyChaos.jl - A Julia Package for Polynomial Chaos in Systems and Control.
CoRR, 2020

Modeling and simulation of sector-coupled networks: A gas-power benchmark.
CoRR, 2020

2019
timueh/PolyChaos.jl: v0.1.2.
Dataset, March, 2019

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach.
CoRR, 2019

2018
The Price of Uncertainty: Chance-constrained OPF vs. In-hindsight OPF.
CoRR, 2018

A Generalized Framework for Chance-constrained Optimal Power Flow.
CoRR, 2018

Distributed Optimal Power Flow using ALADIN.
CoRR, 2018

Optimal power flow: an introduction to predictive, distributed and stochastic control challenges.
Autom., 2018

Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Comments on Truncation Errors for Polynomial Chaos Expansions.
CoRR, 2017

Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Output feedback model predictive control with probabilistic uncertainties for linear systems.
Proceedings of the 2016 American Control Conference, 2016

Solving stochastic AC power flow via polynomial chaos expansion.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016


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