Comparative Analysis of Battery Degradation Models for Optimal Operation of a Hybrid Power Plant in the Day-Ahead Market

Battery degradation significantly impacts the operational costs and profitability of hybrid power plants (HPPs) participating in the day-ahead (DA) market. This paper conducts a comparative analysis of the effectiveness of three battery degradation models. The models calculate the battery degradatio...

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Veröffentlicht in:2025 IEEE Kiel PowerTech S. 1 - 6
Hauptverfasser: Ghanaee, Elahe, Perez-Diaz, Juan Ignacio, Fernandez-Munoz, Daniel, Najera, Jorge, Chazarra, Manuel
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 29.06.2025
Schlagworte:
Analytical models
Batteries
battery degradation
Computational modeling
Costs
cycle aging
DA market
Degradation
Hybrid power plant
Hybrid power systems
Numerical models
Power generation
Profitability
Radio frequency
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Zusammenfassung:Battery degradation significantly impacts the operational costs and profitability of hybrid power plants (HPPs) participating in the day-ahead (DA) market. This paper conducts a comparative analysis of the effectiveness of three battery degradation models. The models calculate the battery degradation as a function of the energy throughput (TP model), the discharge maneuvers (DM model) and based on the Rainflow cycle counting algorithm (RF model). A deterministic mixed-integer linear programming model is developed to maximize revenue of HPPs participating in the DA market considering battery degradation costs. Numerical results reveal that the TP model provides the highest profitability in the DA energy market with the lowest computational complexity, while the RF and DM models capture the battery aging with higher accuracy. This comparative analysis offers some useful insights for selecting appropriate degradation models for better operational performance and longer battery life.
DOI:10.1109/PowerTech59965.2025.11180334