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Electricity Price-Driven Optimization of Pumped-Storage Hydropower Plant Performance

Author

Listed:
  • Andraž Roger

    (Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, SI-8270 Krško, Slovenia)

  • Matej Fike

    (Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, SI-8270 Krško, Slovenia)

Abstract

Pumped hydro storage remains one of the most established technologies for balancing supply and demand in electricity markets with high shares of renewable energy. This paper investigates the short-term economic optimization of a pumped hydro storage plant operating under real day-ahead market conditions. A Mixed-Integer Linear Programming model is used to optimize hourly dispatch decisions based on actual day-ahead electricity prices in Slovenia for the year 2024. The model accounts for technical constraints, including turbine and pump capacities, round-trip efficiency, energy storage limits, and restricted startup frequencies. The simulation results show that pumped hydro storage can achieve a positive market-based operating result by responding effectively to price volatility and frequent negative pricing events. Seasonal variations reveal higher revenues during summer months due to solar overproduction. The findings confirm the potential of pumped hydro storage to enhance grid flexibility and support the implementation of national energy transition objectives. By linking large-scale energy storage operations with renewable energy integration, grid flexibility, and market-based dispatch, the study also contributes to the technical and economic dimensions of sustainable energy system development.

Suggested Citation

  • Andraž Roger & Matej Fike, 2026. "Electricity Price-Driven Optimization of Pumped-Storage Hydropower Plant Performance," Sustainability, MDPI, vol. 18(13), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:13:p:6805-:d:1983268
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