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)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.