Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)

Performance Testing of a Megawatt-Scale Battery Storage for Energy Trading

Authors
Lucas Koltermann1, 2, 3, *, Mauricio Celi Cortés1, 2, 3, Najet Nsir1, 2, 3, Jonas van Ouwerkerk1, 2, 3, Dirk Uwe Sauer1, 2, 3, 4
1Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, 52074, Aachen, Germany
2Institute for Power Generation and Storage Systems (PGS), E.ON ERC, RWTH Aachen University, 52074, Aachen, Germany
3Jülich Aachen Research Alliance, JARA-Energy, 52056, Aachen, 52425, Jülich, Germany
4Forschungszentrum Jülich GmbH, Institute of Energy and Climate Research Helmholtz-Institute Münster: Ionics in Energy Storage (IEK-12), 52425, Jülich, Germany
*Corresponding author. Email: lucas.koltermann@isea.rwth-aachen.de
Corresponding Author
Lucas Koltermann
Available Online 11 July 2024.
DOI
10.2991/978-94-6463-455-6_2How to use a DOI?
Keywords
battery storage system; power capability; hybrid large-scale battery storage system; performance testing; intraday trading
Abstract

Large-scale battery energy storages (BESS) are being used more and more for various applications such as system services in the power grid. The importance of their use in short-term energy trading, such as day-ahead and intraday trading, has been growing steadily due to increasing and more dynamic energy prices. In current technical and economic simulations and trading models, batteries are often represented as energy reservoirs that can charge and discharge a constant power within a specified time frame, which can lead to significant discrepancies between planned and physical delivery. Since batteries and consequently BESS cannot deliver the same power over the whole state of charge (SOC) range, their real operating ranges and limits have to be investigated in order to successfully use BESS in energy trading. With an intraday performance test of the lithium-manganese-oxide (LMO) batteries of our hybrid BESS M5BAT, we show capabilities and limitations of the battery units. The results show that the LMO batteries meet the performance and requirements of the intraday market over a wide SOC range. However, especially in the upper and lower SOC ranges, the power available from the batteries is reduced. When parameterizing trading models for batteries, special attention has to be given to the efficiencies of the batteries, power electronic components and transformers under the respective load points so that the deviations between the trading plan and reality do not become too large. Based on our results for a relatively aggressive profile, we find that LMO batteries are well suited for short-term energy trading applications, adhering to safe temperature levels in the case of our system. Further, we find that with the appropriate knowledge of efficiencies, short-term BESS operations can be optimized with sufficient accuracy. Using the example of M5BAT, this work provides insights in performance characteristics of the operation of BESS.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 July 2024
ISBN
978-94-6463-455-6
ISSN
2589-4943
DOI
10.2991/978-94-6463-455-6_2How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Lucas Koltermann
AU  - Mauricio Celi Cortés
AU  - Najet Nsir
AU  - Jonas van Ouwerkerk
AU  - Dirk Uwe Sauer
PY  - 2024
DA  - 2024/07/11
TI  - Performance Testing of a Megawatt-Scale Battery Storage for Energy Trading
BT  - Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)
PB  - Atlantis Press
SP  - 4
EP  - 11
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-455-6_2
DO  - 10.2991/978-94-6463-455-6_2
ID  - Koltermann2024
ER  -