Web: http://arxiv.org/abs/2205.06212

May 13, 2022, 1:11 a.m. | Michael Eichelbeck, Hannah Markgraf, Matthias Althoff

cs.LG updates on arXiv.org arxiv.org

Future power systems will rely heavily on micro grids with a high share of
decentralised renewable energy sources and energy storage systems. The high
complexity and uncertainty in this context might make conventional power
dispatch strategies infeasible. Reinforcement-learning based (RL) controllers
can address this challenge, however, cannot themselves provide safety
guarantees, preventing their deployment in practice. To overcome this
limitation, we propose a formally validated RL controller for economic
dispatch. We extend conventional constraints by a time-dependent constraint
encoding the …

arxiv economic learning reinforcement reinforcement learning

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