Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning

2 May 2019Mohammad JafariVahid SarfiAmir GhasemkhaniHanif LivaniLei YangHao Xu

In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances. The developed adaptive biologically-inspired controller adopts a novel computational model of emotional learning in mammalian limbic system... (read more)

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