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Abstract Pumped-storage hydropower provides large-scale flexibility by shifting energy from low- to high-price hours. This paper evaluates the day-ahead arbitrage potential of the Chebren pumped-storage concept using a daily mixed-integer linear programming (MILP) scheduling model implemented in MATLAB and driven by hourly HUPX day-ahead prices for 2025. The model captures key operational constraints, including generating and pumping power limits, turbine and pump efficiencies, storage-energy bounds, mutually exclusive operating modes, and daily caps on pumping and generating hours. A representative Chebren parameter set is adopted to illustrate market-driven operation under realistic technical limits. Key words: pumped-storage hydropower, day-ahead electricity market, electricity price volatility, mixed-integer linear programming, price arbitrage
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