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

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

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, 29 Sept.-02 Oct. 2019,
DOI: 10.1109/ISGTEurope.2019.8905452,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

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

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, 05.-10. Aug. 2018,
DOI: 10.1109/PESGM.2018.8585891,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

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

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, 21.-25.10.2018,
DOI: 10.1109/ISGTEurope.2018.8571453,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)