Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

Daniel J. B. Harrold, Jun Cao, Zhong Fan

In this paper, multi-agent reinforcement learning is used to control a hybrid energy storage system working collaboratively to reduce the energy costs of a microgrid through maximi…