Battery Energy Storage System Models for Microgrid Stability Analysis and Dynamic Simulation
dc.contributor.author | Farrokhabadi, Mostafa | |
dc.contributor.author | Konig, Sebastian | |
dc.contributor.author | Canizares, Claudio A. | |
dc.contributor.author | Bhattacharya, Kankar | |
dc.contributor.author | Leibfried, Thomas | |
dc.date.accessioned | 2025-08-05T18:18:04Z | |
dc.date.available | 2025-08-05T18:18:04Z | |
dc.date.issued | 2017-08-14 | |
dc.description | (© 20XX IEEE) Farrokhabadi, M., Konig, S., Canizares, C. A., Bhattacharya, K., & Leibfried, T. (2018). Battery Energy Storage System models for Microgrid Stability Analysis and dynamic simulation. IEEE Transactions on Power Systems, 33(2), 2301–2312. https://doi.org/10.1109/tpwrs.2017.2740163 | |
dc.description.abstract | With the increasing importance of battery energy storage systems (BESS) in microgrids, accurate modeling plays a key role in understanding their behavior. This paper investigates and compares the performance of BESS models with different depths of detail. Specifically, several models are examined: an average model represented by voltage sources; an ideal dc source behind a voltage source converter; a back-to-back buck/boost and bidirectional three-phase converter, with all models sharing the same control system and parameters; and two additional proposed models where the switches are replaced by dependent sources to help analyze the differences observed in the performance of the models. All these models are developed in PSCAD and their performances are simulated and compared considering various issues such as voltage and frequency stability and total harmonic distortion in a benchmark test microgrid. It is shown through simulation results and eigenvalue studies that the proposed models can exhibit a different performance, especially when the system is heavily loaded, highlighting the need for more accurate modeling under certain microgrid conditions. | |
dc.description.sponsorship | NSERC-Canada. | |
dc.identifier.doi | 10.1109/tpwrs.2017.2740163 | |
dc.identifier.issn | 0885-8950 | |
dc.identifier.issn | 1558-0679 | |
dc.identifier.uri | https://doi.org/10.1109/TPWRS.2017.2740163 | |
dc.identifier.uri | https://hdl.handle.net/10012/22099 | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE Transactions on Power Systems | |
dc.relation.ispartofseries | IEEE Transactions on Power Systems; 33(2) | |
dc.subject | energy storage systems | |
dc.subject | dynamic simulation | |
dc.subject | microgrids | |
dc.subject | modeling | |
dc.subject | stability | |
dc.title | Battery Energy Storage System Models for Microgrid Stability Analysis and Dynamic Simulation | |
dc.type | Article | |
dcterms.bibliographicCitation | Farrokhabadi, M., Konig, S., Canizares, C. A., Bhattacharya, K., & Leibfried, T. (2018). Battery Energy Storage System models for Microgrid Stability Analysis and dynamic simulation. IEEE Transactions on Power Systems, 33(2), 2301–2312. https://doi.org/10.1109/tpwrs.2017.2740163 | |
oaire.citation.issue | 2 | |
oaire.citation.volume | 33 | |
uws.contributor.affiliation1 | Faculty of Engineering | |
uws.contributor.affiliation2 | Electrical and Computer Engineering | |
uws.peerReviewStatus | Reviewed | |
uws.scholarLevel | Faculty | |
uws.typeOfResource | Text | en |
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