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Review of Degradation Models of Battery Energy Storage for Potential Integration into Unit Commitment Problems

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  • Rhianna Maakestad

    (TRC Companies, Inc., Liverpool, NY 13088, USA
    Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA)

  • Farhan Hyder

    (Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA)

  • Gharvin Ramnarase

    (Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA)

  • Bing Yan

    (Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA)

Abstract

As renewable energy penetration accelerates, battery energy storage systems have become essential for enhancing flexibility, reliability, and economic efficiency in power system operations. For the daily operations of grids, the unit commitment (UC) problem plays a central role in determining the optimized scheduling of generation resources, but current formulations rarely incorporate battery degradation dynamics. The accurate representation of battery aging is crucial, as degradation costs may influence dispatch. This review provides a synthesis of existing approaches for integrating battery degradation into UC formulations. We survey and compare major classes of degradation models and then examine how these models have been embedded into UC frameworks, highlighting trade-offs between modeling accuracy and tractability. This paper concludes with identified research gaps and recommendations for future UC formulations that more faithfully capture battery degradation while maintaining computational efficiency. This review aims to serve as a foundation for researchers and system operators seeking to incorporate realistic battery aging mechanisms into operational decision-making for the evolving low-carbon grid.

Suggested Citation

  • Rhianna Maakestad & Farhan Hyder & Gharvin Ramnarase & Bing Yan, 2026. "Review of Degradation Models of Battery Energy Storage for Potential Integration into Unit Commitment Problems," Energies, MDPI, vol. 19(6), pages 1-13, March.
  • Handle: RePEc:gam:jeners:v:19:y:2026:i:6:p:1425-:d:1891641
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