Abstract
This paper presents a model predictive control (MPC) framework for battery energy storage systems (BESS) management considering models for battery degradation, system efficiency and V-I characteristics. The optimization framework has been tested for microgrids with different renewable generation and load mix considering several operation strategies. A comparison for one-year simulations between the proposed model and a naïve BESS model, show an increase in computation times that still allows the application of the framework for real-time control. Furthermore, a trade-off between financial revenue and reduced BESS degradation was evaluated for the yearly simulation, considering the degradation model proposed. Results show that a conservative BESS usage strategy can have a high impact on the asset's lifetime and on the expected system revenues, depending on factors such as the objective function and the degradation threshold considered.
Original language | English |
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Title of host publication | Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781665480321 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Event | 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 - Novi Sad, Serbia Duration: 10 Oct 2022 → 12 Oct 2022 |
Publication series
Name | IEEE PES Innovative Smart Grid Technologies Conference Europe |
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Volume | 2022-October |
Conference
Conference | 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 |
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Country/Territory | Serbia |
City | Novi Sad |
Period | 10/10/22 → 12/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- battery degradation
- battery energy storage systems
- linear model
- microgrid
- model predictive control