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Management Strategies for a Battery Participating in Day Ahead and Primary Reserve Markets Under Uncertainties

Author

Listed:
  • Ahmed Mohamed

    (G2Elab-SYREL - G2Elab-SYstèmes et Réseaux ELectriques - G2ELab - Laboratoire de Génie Electrique de Grenoble - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Rémy Rigo-Mariani

    (G2Elab-SYREL - G2Elab-SYstèmes et Réseaux ELectriques - G2ELab - Laboratoire de Génie Electrique de Grenoble - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Vincent Debusschère

    (G2Elab-SYREL - G2Elab-SYstèmes et Réseaux ELectriques - G2ELab - Laboratoire de Génie Electrique de Grenoble - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

Abstract

The revenues of battery energy storage systems (BESS) participating simultaneously in different markets such as energy and primary reserve has been widely investigated. In most cases, the system profitability is evaluated with optimization approaches based on historical data for prices and frequency measurements. However, in actual operations, the revenue decreases from such an ideal scenario due to uncertainties and the potential impossibility to fulfill the commitments, which translates into economic penalties. This paper proposes two-stage management strategies of a BESS participating in day-ahead and primary frequency reserve markets. The first stage consists in a day-ahead optimization of the quantities for the energy traded and capacity reserved and is based on simple forecasts. Heuristics strategies are then investigated for the real-time phase, based on actual frequency measurements at 10 seconds. Simulations are performed for data in the French market along 2021 and results obtained show that the proposed management can reach up to 90 % of the theoretical optimum profits obtained with perfect forecasts and optimal control. Especially, the real-time operation limits the penalties due to the impossibility to provide reserve when committed. Lastly, a degradation analysis of the BESS over 10 years shows that ageing remains moderated under 20 %.

Suggested Citation

  • Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschère, 2026. "Management Strategies for a Battery Participating in Day Ahead and Primary Reserve Markets Under Uncertainties," Post-Print hal-05565320, HAL.
  • Handle: RePEc:hal:journl:hal-05565320
    DOI: 10.1109/oajpe.2026.3668297
    Note: View the original document on HAL open archive server: https://hal.science/hal-05565320v1
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    References listed on IDEAS

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    1. Moreno, Rodrigo & Moreira, Roberto & Strbac, Goran, 2015. "A MILP model for optimising multi-service portfolios of distributed energy storage," Applied Energy, Elsevier, vol. 137(C), pages 554-566.
    2. Mohamed, Ahmed & Rigo-Mariani, Rémy & Debusschere, Vincent & Pin, Lionel, 2023. "Stacked revenues for energy storage participating in energy and reserve markets with an optimal frequency regulation modeling," Applied Energy, Elsevier, vol. 350(C).
    3. Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschere & Lionel Pin, 2023. "Stacked Revenues for Energy Storage Participating in Energy and Reserve Markets with an Optimal Frequency Regulation Modeling," Post-Print hal-04182119, HAL.
    4. Seger, Pedro V.H. & Rigo-Mariani, Rémy & Thivel, Pierre-Xavier & Riu, Delphine, 2023. "A storage degradation model of Li-ion batteries to integrate ageing effects in the optimal management and design of an isolated microgrid," Applied Energy, Elsevier, vol. 333(C).
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