Despite direct current (DC) microgrids' benefits over alternating current microgrids, these systems confront several difficulties. The instability brought on by constant power loads (CPLs) is one of the main challenges. Because of their rising negative impedance characteristics, CPLs reduce system performance. This study looks at a DC microgrid that has a photovoltaic (PV) battery grid connected to a CPL. To tackle this challenge, a disturbance observer and a continuous‐time model predictive control based on type‐3 fuzzy logic systems (T3‐FLSs) are applied to the bidirectional DC‐DC converter. Even in the face of load and PV generation fluctuations, this method aims to regulate the nonlinearity of the CPL and preserve system stability across a broad operating range. A new learning scheme based on square root cubature Kalman filter is developed for online deep learning of identified T3‐FLS model. Finally, the …
