Predicting Strategic Energy Storage Behaviors

نویسندگان

چکیده

Energy storage are strategic participants in electricity markets to arbitrage price differences. Future power system operators must understand and predict behaviors for market monitoring capacity adequacy planning. This paper proposes a novel data-driven approach that incorporates prior model knowledge predicting the of price-taker energy systems. We propose gradient-descent method find parameters given historical signals observations. prove identified will converge true user under class quadratic objective linear equality-constrained models. demonstrate effectiveness our through numerical experiments with synthetic real-world behavior data. The proposed significantly improves accuracy identification forecasting compared previous blackbox approaches.

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ژورنال

عنوان ژورنال: IEEE Transactions on Smart Grid

سال: 2023

ISSN: ['1949-3053', '1949-3061']

DOI: https://doi.org/10.1109/tsg.2023.3303469