Optimaler Betrieb von stationären Hybrid-Batteriespeichern am Beispiel des Projekts M5BAT

Thien, Tjark Gerrit Christopher; Sauer, Dirk Uwe (Thesis advisor); Moser, Albert (Thesis advisor)

Aachen : ISEA (2021, 2022)
Book, Dissertation / PhD Thesis

In: Aachener Beiträge des ISEA 165
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2021

Abstract

Stationary battery energy storage system are a important cornerstone of the energy transition, because they can balance electrical load fluctuations quickly and efficiently. By combining multiple battery technologies in a hybrid battery energy storage system, their competitiveness can be improved compared to other flexibility options. A hybrid battery energy storage system was realized within the research project "M5BAT" to test a combination of three different lithium-ion battery types and two different lead-acid battery types. To achieve synergy effects, an energy management system is required that allocates the power between the different battery types. Besides heuristical approaches, non-predictive and predictive optimization-based approaches are introduces, that allow a cost-optimal operation considering losses, energy required for air conditioning and battery ageing. The developed algorithms are validates with simulations based on the example of the M5BAT battery energy storage system. Furthermore, simulations with modified battery compositions are presented to investigate the influence of the hybridisation.

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