Proceedings of the International Renewable Energy Storage Conference (IRES 2022)

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Getting Closer to Reality? Peak-Shaving with Battery Systems in Commerce and Industry

Authors
Arne Groß1, *, Lars Kreilgaard1, Benedikt Köpfer1, Matthias Kühnbach1
1Department Smart Grids, Fraunhofer Institute for Solar Energy Systems, Freiburg, Germany
*Corresponding author. Email: arne.gross@ise.fraunhofer.de
Corresponding Author
Arne Groß
Available Online 25 May 2023.
DOI
10.2991/978-94-6463-156-2_14How to use a DOI?
Keywords
PV Battery Systems; Forecast of Electrical Load; Peak Shaving; Multi-Use
Abstract

With decreasing prices of batteries, business cases of electric storage systems reach profitability in commercial applications. However, for commercial storage systems to become economically attractive, many studies indicate that different use cases both behind and in front of the meter must be addressed simultaneously. Shaving load peaks to reduce grid surcharges is considered in most presented setups. However, the success of weighing peak-shaving with other use cases is highly dependent on a precise load forecast.

In the literature, perfect foresight of the future load profile is assumed for most multi-use applications. In a real-life setup, forecasts have sizable uncertainty specifically for load peaks. Consequently, the performance of a storage system in a realistic setting could differ vastly.

Addressing this topic, this article presents an Energy Management System (EMS) for a battery storage combining peak-shaving with other use cases. The EMS relies on machine learning techniques tailored specifically to forecast load peaks and a heuristic control scheme using these forecasts in operation.

Furthermore, we compare the performance using our load forecast algorithm to the operation with perfect foresight.

Copyright
© 2023 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 Conference (IRES 2022)
Series
Atlantis Highlights in Engineering
Publication Date
25 May 2023
ISBN
10.2991/978-94-6463-156-2_14
ISSN
2589-4943
DOI
10.2991/978-94-6463-156-2_14How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Arne Groß
AU  - Lars Kreilgaard
AU  - Benedikt Köpfer
AU  - Matthias Kühnbach
PY  - 2023
DA  - 2023/05/25
TI  - Getting Closer to Reality? Peak-Shaving with Battery Systems in Commerce and Industry
BT  - Proceedings of the International Renewable Energy Storage  Conference (IRES 2022)
PB  - Atlantis Press
SP  - 193
EP  - 205
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-156-2_14
DO  - 10.2991/978-94-6463-156-2_14
ID  - Groß2023
ER  -