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1Bilkent University, Turkey; 2Northwestern University, USA; 3University of British Columbia, Canada
We study the energy commitment, generation, and storage problem for a wind farm co-located with a battery. Modeling this problem as a Markov decision process under wind and price uncertainties, we prove the optimality of a state-dependent threshold policy. Our numerical study with data-calibrated instances has revealed the high efficiency and scalability of our solution method constructed with structural knowledge.
Integration of pumped hydro energy storage and wind energy generation: a structural analysis
1Bilkent University, Turkey; 2Northwestern University, United States
We study the energy generation and storage problem for a pumped hydro energy storage facility integrated with a wind farm. The operator decides in real-time how much water to pump/release, how much wind energy to generate, and how much energy to buy/sell. Modeling the problem as a Markov decision process, we prove the optimality of a state-dependent threshold policy for the upper reservoir water level. Leveraging this result, we develop an efficient solution method for data-calibrated instances.
