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

no code implementations • 2 May 2019 • Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu

In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.

reinforcement-learning Reinforcement Learning (RL)