Abstract
The further integration of storage into the electric power system is unavoidable regarding the still increasing share of renewables and current market developments. Therefore a lot of different storage technologies are available today. The presented PhD-Thesis project will focus on integrating battery storage to the power system under different system and market conditions. Therefore, coupled control algorithms for single and virtual battery storage systems have to be developed depending on the battery's scope. For analyzing the reliability of different battery's scopes, the developed models will be integrated into an electric power system model for studying their influence on the power system and market concerning different development scenarios (renewables, nuclear phase-out). First actions dealt with the provision of Frequency Containment Reserve (FCR) power by a virtual battery storage under certain conditions in Germany. First results show appropriate working of implemented control algorithms and reliability for different shareholders.
About the author
Wirt.-Ing. David Steber, M.Sc. studied Business Administration and Engineering with specialization in electrical power engineering from 2008 at the RWTH Aachen University. After his successful graduation in 2014 he worked as a project manager at the largest distribution grid operator in Baden-Württemberg. 2015 he decided to return to university and started his doctorate in the field of simulation of distributed energy storage systems as a research assistant at the chair of Computer Science 7 located at the FAU Erlangen-Nürnberg. D. Steber is also a member of Energy Campus Nürnberg, Fürther Str. 250, 90429 Nürnberg, Germany. His research was performed as part of the Energy Campus Nürnberg and supported by funding through the Aufbruch Bayern (Bavaria on the move) initiative of the Bavarian state.
Universität Erlangen-Nürnberg, Computer Science 7, Martensstr. 3, D-91058 Erlangen, Germany
Acknowledgement
D. Steber is also a member of Energy Campus Nürnberg (EnCN), Fürther Str. 250, 90429 Nürnberg, Germany. His research was performed as part of the EnCN and supported by funding through the Aufbruch Bayern (Bavaria on the move) initiative of the Bavarian state.
Additionally, I would like to thank my supervisor, Prof. Reinhard German, for his patient guidance, encouragement and advice. I am very lucky to have a supervisor who cares so much about my work and supports me as he does.
Furthermore, I would like to take this opportunity to thank Dr. Thomas Strasser who was a patient and dedicated shepherd concerning this publication and the PhD-Workshop “Energy Informatics”.
©2016 Walter de Gruyter Berlin/Boston
