University of Twente Student Theses
Qualitative comparison of State of Charge prediction models for battery energy storage systems
Maas, T.J. (2023) Qualitative comparison of State of Charge prediction models for battery energy storage systems.
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| Abstract: | Since increasing amounts of batteries are being introduced into the grid as flexible grid assets, they need to be incorporated into the prediction models for energy trading. However, batteries can be analytically approached in several ways. In this work, several battery models are compared. Afterwards, three models are implemented in a State of Charge prediction model. These models were validated with the help of a real battery at the University of Twente campus. Several measurements were done on this real battery, such as constant power (dis)charging and pulsed (dis)charging at several power levels. The accuracy of these three models is subsequently determined with validation measurements of the real battery. Since some of the models rely on a linear voltage prediction for the State of Charge prediction, two simple algorithms are proposed in order to avoid operation in the nonlinear voltage region of the battery. The work furthermore discusses on the role and application of these battery forecasting models for Balance Responsible Parties that are active on the Dutch electricity market. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 30 exact sciences in general, 31 mathematics, 43 environmental science, 53 electrotechnology |
| Programme: | Sustainable Energy Technology MSc (60443) |
| Link to this item: | https://purl.utwente.nl/essays/96299 |
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