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Dr. Jens Weibezahn



Visiting address

Room H 3133
(Hauptgebäude, Straße des 17. Juni 135)
(Campusplan) (Wegbeschreibung)

Tel. +49 30 314-27500
Fax +49 30 314-26934

Mailing address

Technische Universität Berlin

Fachgebiet Wirtschafts- und
Infrastrukturpolitik (WIP)
Sekretariat H 33
z. Hd. Jens Weibezahn

Straße des 17. Juni 135
10623 Berlin


Current Courses

Topics for papers and theses

I will advise students in the fields of my research focus. Please contact me for further details.

Research Focus


  • Electricity Markets
  • Electricity Transmission
  • Transportation
  • Logistics


Unit commitment under imperfect foresight — The impact of stochastic photovoltaic generation
Citation key zepter_unit_2019
Author Zepter, Jan Martin and Weibezahn, Jens
Pages 336–349
Year 2019
ISSN 0306-2619
DOI 10.1016/j.apenergy.2019.03.191
Journal Applied Energy
Volume 243
Month jun
Abstract This paper investigates the impact of uncertain photovoltaic generation on unit commitment decisions for the German rolling planning procedure employing a large-scale stochastic unit commitment electricity market model (stELMOD). A novel approach to simulate a time-adaptive intra-day photovoltaic forecast, solely based on an exponential smoothing of deviations between realized and forecast values, is presented. Generation uncertainty is then incorporated by numerous multi-stage scenario trees that account for a decreasing forecast error over time. Results show that total system costs significantly increase when uncertainty of both wind and photovoltaic generation is included by a single forecast, with more frequent starting processes of flexible plants and rather inflexible power plants mainly deployed at part-load. Including the improvement of both wind and photovoltaic forecasts by a scenario tree of possible manifestations, the scheduling costs could be significantly reduced in representative weeks for spring and summer. In general, stochastic representations increase the need for congestion management as well as more frequent use of storage in the model, leading to a more realistic depiction of the markets.
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