Benefits of Virtual Community Energy Storages compared to Individual Batteries based on Behaviour Based Synthetic Load Profiles

Conference contribution
(Original article)


Publication Details

Author(s): Schlund J, Pflugradt N, Steber D, Muntwyler U, German R
Editor(s): IEEE
Publication year: 2018
Conference Proceedings Title: Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
Language: English


Abstract

This paper focuses on a low-voltage grid area consisting of 500 distributed households with both photovoltaics and a battery. If every household focuses only on its self-consumption, the batteries run inefficiently and the grid is stressed unnecessarily. Thus, the batteries within the considered area are connected to form a virtual community energy storage. To simulate such an environment, individual and realistic load profiles for each household are needed. This paper presents a novel, behavior based load profile generator to get such profiles. It is shown that these profiles aggregate to the German standardized load profile H0. An already existing simulation model of decentralized households is adapted in order to include community controllers, which aggregate and distribute the corresponding power flows in order to run the batteries efficiently and avoid unnecessary power flows. The whole low-voltage grid area is simulated for various community sizes within the area. Utilizing community power leads to a better overall efficiency, a decrease in the workload of the grid and a higher self-sufficiency within the considered area. These benefits can already be achieved at small community sizes.


FAU Authors / FAU Editors

German, Reinhard Prof. Dr.
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Schlund, Jonas
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Steber, David Dr.-Ing.
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)


How to cite

APA:
Schlund, J., Pflugradt, N., Steber, D., Muntwyler, U., & German, R. (2018). Benefits of Virtual Community Energy Storages compared to Individual Batteries based on Behaviour Based Synthetic Load Profiles. In IEEE (Eds.), Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe). Sarajevo, Bosnia and Herzegovina, BA.

MLA:
Schlund, Jonas, et al. "Benefits of Virtual Community Energy Storages compared to Individual Batteries based on Behaviour Based Synthetic Load Profiles." Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Sarajevo, Bosnia and Herzegovina Ed. IEEE, 2018.

BibTeX: 

Last updated on 2019-09-01 at 17:10