This paper explores the use of reinforcement learning (RL) for operating grid-scale batteries co-located with solar power. Our results show RL achieves an average of 61% (and up to 96%) of the approximate theoretical optimal (non-causal) operation, outperforming advanced control methods on average.
[pdf] Major projects now deploy clusters of 20+ containers creating storage farms with 100+MWh capacity at costs below $280/kWh. Technological advancements are dramatically improving solar storage container performance while reducing costs.
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