Sensorless Control of DC Microgrid Based on Artificial Intelligence

Nowadays, DC microgrids are preferred in the field of renewable energy. The autonomous aim to provide smooth power flow from renewables loads. While satisfying certain load profiles and sustaining as desired level, control converters is considerable. To ascend resilience microgrids, battery storage systems (BSSs) also used a backup unit for supplying uninterrupted power. main task BSSs compensate lack when higher than supplied or store surplus case that demand less extracted In other words, by draining storing power, help increase flexibility system keep bus voltage within acceptable bounds. This study introduces artificial intelligence (AI)-based method diminish number implemented sensors without reducing efficiency. this paper, neural networks (ANNs) subset AI exploited. Diminishing layer makes more reliable. validate effectiveness proposed system, phases ANNs' simulations performed MATLAB/Simulink.