Extensions of the Dynamic Programming Framework: Battery Scheduling, Demand Charges, and Renewable Integration

نویسندگان

چکیده

We consider a general class of dynamic programming (DP) problems with nonseparable objective functions. show that for any problem in this class, there exists an augmented-state DP satisfies the principle optimality and solutions to which yield original problem. Furthermore, we identify subclass naturally forward separable functions state-augmentation scheme is tractable. extend framework stochastic problems, proposing suitable definition optimality. then apply resulting algorithms optimal battery scheduling demand charges using data-based model electricity usage solar generation by consumer.

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ژورنال

عنوان ژورنال: IEEE Transactions on Automatic Control

سال: 2021

ISSN: ['0018-9286', '1558-2523', '2334-3303']

DOI: https://doi.org/10.1109/tac.2020.3002235