Dispatch optimization of battery energy storage systems considering degradation effects and capacity inhomogeneities in second life batteries
- DOI
- 10.2991/978-94-6463-455-6_4How to use a DOI?
- Keywords
- Battery System; Stationary Energy Storage; Non-Linear Optimization; Second Life; Capacity Loss; State of Health
- Abstract
The performance of battery energy storage systems (BESS) along their lifetime is significantly influenced by their degradation. The rate of degradation depends on stress factors such as the state of charge, charge-discharge rate, and depth of cycle, but evolves differently for every individual battery. Batteries with differences in capacity and or state of health may diverge further apart when cycled evenly causing further inhomogeneities. BESS can also consist of heterogeneous sub-units if second life batteries with reduced capacity and or state of health are integrated in the system. In order to minimize the overall system aging effects those variances can be balanced with an according operation strategy. This contribution presents a model predictive control (MPC) framework that helps to solve optimization problems regarding the power split within heterogeneous BESS-models. An exemplary 2-string battery model is used to represent batteries with different characteristics and it contains cycle and calendar aging mechanisms. In our case one of the strings is preaged. The MPC framework combines aging estimation and operation optimization by using a commercial solver. It iterates over a given profile and predicts the optimal power split between the heterogeneous strings. By defining the system’s total minimal capacity loss as an objective function, the optimizer achieves to minimize the BESS-model’s overall capacity loss during operation. The simulation reveals that while the new string ages by 1.23 %, the preaged string will lose 0.258 % state of health within the 21-day timeframe investigated.
- 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 - Melina Graner AU - Vivek Teja Tanjavooru AU - Andreas Jossen AU - Holger Hesse PY - 2024 DA - 2024/07/11 TI - Dispatch optimization of battery energy storage systems considering degradation effects and capacity inhomogeneities in second life batteries BT - Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023) PB - Atlantis Press SP - 20 EP - 27 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-455-6_4 DO - 10.2991/978-94-6463-455-6_4 ID - Graner2024 ER -