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

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.

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Publication Details

Journal
Energies
Published
2026-03-12
DOI
https://doi.org/10.3390/en19061425
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Farhan Hyder, Rhianna Maakestad, Bing Yan, Gharvin Ramnarase
Energies
Microgrid Control and Optimization
article

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

Farhan Hyder, Rhianna Maakestad, Bing Yan, Gharvin Ramnarase
article en

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.

EnergiesVol. 19(6)
Rochester Institute of Technology (US), TRC Companies (United States) (US)
National Science Foundation, Division of Electrical, Communications and Cyber Systems
Affordable and clean energy
Openalex Percentile: Top 26%
Microgrid Control and Optimization
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