System relevant applications for battery storage systems

Authors Kurt Leonhartsberger
Marcus Meisel
Mario Pichler
Susanne Schidler
Lampros Fotiadis
Evangelia Xypolytou
Andrea Werner
Editors
Title System relevant applications for battery storage systems
Booktitle Proceedings of the 33rd PLEA International Conference (PLEA 2017)
Type in proceedings
Volume III
Month July
Year 2017
Pages 4595-4602
SCCH ID# 17044
Abstract

By the end of 2015, more than 36,000 battery storage systems in combination with PV systems had been installed in Austria and Germany. As yet, these battery storage systems are mainly used to increase the on-site consumption of local PV generation. However, charging the battery without considering the current generation of the PV system and the current state of the grid means that this application is of little benefit for the grid, e. g. regarding control and stability, reliability, power quality or security. Alongside the use of battery storage systems to limit a PV system’s maximum grid feed-in, several other grid and/or system-relevant applications for battery storage systems are possible. One strategy is to use autonomous systems to even out a building’s load peaks, mainly caused by heat pumps or other electric heating or cooling systems. Forecast-based operation strategies are required. The research project Spin.OFF uses a self-learning artificial neural network (ANN) to predict the energy demand of buildings. In addition to local autonomous strategies, some system- and/or grid-relevant applications require coordination by third parties. The second strategy, presented in research project MBS+, provides a decentralized micro-grid concept for the optimization of Distributed Energy Resources (DER) in the form of a Battery-Storage-Network (BSN).