A comprehensive review of modeling approaches for grid-connected energy storage technologies

Energy Storage Systems (ESSs) play a pivotal role in the evolving landscape of electrical generation, distribution, and consumption worldwide. As these systems are increasingly developed and deployed across diverse applications, the need for effective and efficient modeling has become more critical....

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Bibliographic Details
Published in:Journal of energy storage 2025-02, Vol.109, p.115057, Article 115057
Main Authors: Hutchinson, Andrew J., Harrison, Chris M., Bryden, Thomas S., Alahyari, Arman, Hu, Yiheng, Gladwin, Daniel T., Radcliffe, Jonathan, Rogers, Daniel J., Patsios, Charalampos, Forsyth, Andrew
Format: Article
Language:English
Subjects:
Batteries
Compressed air
Energy storage modeling
Flywheels
Grid-scale storage
Hydrogen
Supercapacitors
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Summary:Energy Storage Systems (ESSs) play a pivotal role in the evolving landscape of electrical generation, distribution, and consumption worldwide. As these systems are increasingly developed and deployed across diverse applications, the need for effective and efficient modeling has become more critical. This work provides a comprehensive overview of key Energy Storage Technologies utilized in electrical applications, highlighting their strengths, limitations, and roles across various use cases. The review offers in-depth analysis and commentary on the current state of energy storage modeling, addressing the challenges and opportunities within this research domain, and providing a novel resource for researchers in this field. To assist researchers in selecting appropriate modeling approaches, this paper explores three levels of modeling complexity, examined through the lens of five prominent energy storage technologies. By evaluating the trade-offs of different approaches and their suitability for various applications, the study serves as a state-of-the-art resource for researchers pursuing new energy storage studies. Furthermore, it examines trends in software and hardware adoption, including case studies and hardware-in-the-loop implementations, while identifying research gaps and opportunities for innovation. The review concludes with insights into future challenges in the field and proposes avenues for advancing energy storage modeling and application research. •A comprehensive review of energy storage modeling techniques is presented•Five storage technologies are considered in an application-centric analysis•A guide on when to use bucket, electrical or physical modeling approaches is produced•Future challenges and research gaps are found and discussed
ISSN:2352-152X
DOI:10.1016/j.est.2024.115057