http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Improving Real-World Execution of Optimized Trading Schedules for Large-Scale Battery Storage Systems through Data-Driven Component Parametrization: Dataset

Celi Cortés, Mauricio Eduardo^RWTH* ; Koltermann, Lucas^RWTH* ; Nsir, Najet^RWTH* ; van Ouwerkerk, Jonas^RWTH* ; Sauer, Dirk Uwe^RWTH*

2025

Online
DOI: 10.18154/RWTH-2025-06555
URL: https://publications.rwth-aachen.de/record/1015732/files/Supplementary_file.pdf
URL: https://publications.rwth-aachen.de/record/1015732/files/Dataset.zip

Einrichtungen

1. Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik (618310)
2. Institut für Stromrichtertechnik und Elektrische Antriebe (614500)
3. E.ON Energy Research Center (080052)
4. Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (080070)
5. JARA-ENERGY (080011)

Projekte

1. BMBF 03EI4034 - Einzelvorhaben: EMMUseBat - Entwicklung von Methoden für den Multi-Use-Betrieb von modularen Batteriegroßspeichern im Mittelspannungsnetz (BMBF-03EI4034) (BMBF-03EI4034)
2. BMWK-03ESP265F - M5BAT: Modularer multi-Megawatt multi-Technologie Mittelspannungsbatteriespeicher; Teilvorhaben: Entwicklung von Li-Ionen Batterien, Monitoring und Erstellung eines Designhandbuchs (BMWK-03ESP265F) (BMWK-03ESP265F)

Inhaltliche Beschreibung (Schlagwörter)
energy trading (frei) ; field validation (frei) ; efficiency modeling (frei) ; MILP (frei) ; performance testing (frei) ; large-scale battery storage system (frei)

Kurzfassung
This data set provides high-resolution measurement and optimization data from two field tests conducted on the M5BAT hybrid battery storage system in Aachen, Germany. It includes one-second resolution time series of inverter AC and DC power, SOC of the individual battery units, system SOC, and grid connection point power, as well as the corresponding optimized power delivery schedules. The data covers both a benchmark test and a test with improved model parametrization, enabling direct comparison of schedule fulfillment and efficiency modeling. The data set supports research on battery storage optimization, technical validation of trading schedules, and performance analysis of grid-connected BESS in real-world market conditions.

OpenAccess:
PDF
ZIP
(additional files)

Dokumenttyp
Dataset

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-06555
Datensatz-ID: 1015732

Beteiligte Länder
Germany