Simon Ackermann

M.Sc. Simon Ackermann

Uncertainty quantification for energy management & plant design

General Research Interests

  • Probabilistic modeling for power systems
  • Efficient stochastic optimization for power system design and operation
  • Efficient uncertainty and Risk quantification for power system design and operation

Short Bio

  • Since 2017: PhD student at Siemens CT in cooperation with EINS
  • 2013 – 2016: M.Sc. in Electrical and Informations Engineering at TU Munich and Newcastle University
  • 2009 – 2013: B.Sc. in General Engineering Science at TU Hamburg-Harburg

Publications

Design and optimization of performance guarantees for hybrid power plants

[Journal]
Simon Ackermann; Andrei Szabo; Joachim Bamberger; Florian Steinke :
Design and optimization of performance guarantees for hybrid power plants.
In: Elsevier Energy 239 , P. 121742, 2022

Comparison of Two Day-Ahead Offering Strategies for a Flexible CHP Plant in Germany

[Conference]
Simon Ackermann; Andrei Szabo; Simon Paulus; Florian Steinke :
Comparison of Two Day-Ahead Offering Strategies for a Flexible CHP Plant in Germany.
In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 2019

A Novel Algorithm for the Fast and Accurate
Quantile Computation in Probabilistic Power Flow

[Conference]
S. Ackermann; M. Buhl; M. Lindner; F. Steinke :
A Novel Algorithm for the Fast and AccurateQuantile Computation in Probabilistic Power Flow.
In: PESGM'18- IEEE Power & Energy Society General Meeting, Portland, USA, 2018

A Computationally Efficient Method for Risk
Averse Scheduling of Hybrid Power Plants

[Conference]
Simon Ackermann; Andrei Szabo; Florian Steinke :
A Computationally Efficient Method for RiskAverse Scheduling of Hybrid Power Plants.
In: 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia-Herzegovina, 2018