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Reliability Assessment and Optimal Scheduling Strategy of Battery Energy Storage Systems
- Authors
- Lee, Tae-Ju; Lee, Dong-Ju; Kim, Rae-Young
- Issue Date
- Jan-2026
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Battery Energy Storage System; Reliability Assessment; Scheduling Strategy
- Citation
- 2025 28th International Conference on Electrical Machines and Systems (ICEMS), pp 3375 - 3380
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- 2025 28th International Conference on Electrical Machines and Systems (ICEMS)
- Start Page
- 3375
- End Page
- 3380
- ISSN
- 2640-7841
2642-5513
- Abstract
- This paper provides a review of the various reliability models of battery energy storage system and its reliability assessment techniques. The probabilistic reliability assessment of the BESS is performed using the suitable reliability model among those models and the demand power forecast model is proposed to obtain the optimal scheduling of energy storage systems and the feasibility of the proposed optimal scheduling strategy is verified by the numerical simulation.
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Related Researcher
- Kim, Rae Young
- COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)