Harnessing battery energy storage systems with CO2 time-shift strategies for power grid emissions control

Power grid operation focuses on minimizing generation costs that satisfy energy consumption and transmission losses. However, dispatching cheaper fossil fuel generators leads to a significant increase in carbon dioxide (CO 2 ) emissions. This work addresses the CO 2 emission problem in power grids by using battery energy storage systems (BESS) to smoothly control the CO2 emission factor. We propose two BESS operating strategies to perform CO 2 time-shift at both system-wide and generator levels. We examine this BESS capability using an improved two-stage security-constrained economic dispatch (SCED) recognizing the trade-off between economic and environmental objectives. The first stage establishes baseline CO 2 emissions for the power grid and generators. The second stage involves the solution of the bi-objective optimization problem. The effectiveness of the approach is showcased using two case studies. We studied the IEEE 5-bus and 39-bus test systems incorporating several BESS, using 5-minute, 1-hour look-ahead power dispatch timeframes. The system's behavior achieved with BESS exceeds expectations. The participation of BESS not only provides significant economic benefits but also allows CO 2 emission control. The power grid achieves operating cost savings and a reduction in nodal marginal prices. Therefore, BESS can promote cleaner system operation while counteracting rising generation costs when decreasing CO 2 emissions. • Power grid CO 2 emissions control using battery energy storage systems • BESS operate with time-shift strategies to perform CO 2 time-shift. • CO 2 emissions control is achieved at system-wide and generator levels. • Two-stage economic dispatch optimizing economic and environmental objectives

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Publication Details

Journal
Journal of Energy Storage
Published
2025-12-19
DOI
https://doi.org/10.1016/j.est.2025.119923
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Harnessing battery energy storage systems with CO2 time-shift strategies for power grid emissions control

Luis M. Castro, Daniel Guillén
Journal of Energy Storage
Microgrid Control and Optimization
article

Harnessing battery energy storage systems with CO2 time-shift strategies for power grid emissions control

Luis M. Castro, Daniel Guillén
article en

Abstract

Power grid operation focuses on minimizing generation costs that satisfy energy consumption and transmission losses. However, dispatching cheaper fossil fuel generators leads to a significant increase in carbon dioxide (CO 2 ) emissions. This work addresses the CO 2 emission problem in power grids by using battery energy storage systems (BESS) to smoothly control the CO2 emission factor. We propose two BESS operating strategies to perform CO 2 time-shift at both system-wide and generator levels. We examine this BESS capability using an improved two-stage security-constrained economic dispatch (SCED) recognizing the trade-off between economic and environmental objectives. The first stage establishes baseline CO 2 emissions for the power grid and generators. The second stage involves the solution of the bi-objective optimization problem. The effectiveness of the approach is showcased using two case studies. We studied the IEEE 5-bus and 39-bus test systems incorporating several BESS, using 5-minute, 1-hour look-ahead power dispatch timeframes. The system's behavior achieved with BESS exceeds expectations. The participation of BESS not only provides significant economic benefits but also allows CO 2 emission control. The power grid achieves operating cost savings and a reduction in nodal marginal prices. Therefore, BESS can promote cleaner system operation while counteracting rising generation costs when decreasing CO 2 emissions. • Power grid CO 2 emissions control using battery energy storage systems • BESS operate with time-shift strategies to perform CO 2 time-shift. • CO 2 emissions control is achieved at system-wide and generator levels. • Two-stage economic dispatch optimizing economic and environmental objectives

Journal of Energy StorageVol. 145
Universidad Nacional Autónoma de México (MX), Tecnológico de Monterrey (MX)
Openalex Percentile: Top 49%
Microgrid Control and Optimization
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Harnessing battery energy storage systems with CO2 time-shift strategies for power grid emissions control — Luis M. Castro, Daniel Guillén · Journal of Energy Storage (2025) | TGRS Research Map | TGRS