Deep neural network enabled fault detection in LVDC microgrid using empirical mode decomposition

Abstract

Direct current (DC) microgrids are small-scale distribution systems comprising distributed generators, storage instruments, and controllable loads operating in a coordinated way [1]. Power electronic interface utilized to attach sources and a load to the DC microgrid, which provides flexible control and improved power quality. It makes the microgrid single controlled units that meet the local energy needs and can also operate in coordination with the main grid or utility power system.