Optimal power quality improvement in a hybrid fuzzy-sliding mode MPPT control-based solar PV and BESS with UPQC

Power quality issues have become a key concern in today's power distribution systems due to the presence of nonlinear loads and devices, as well as driving systems based on power electronics. To minimize the effects of PQ issues, active line filters and unified power quality conditioners (UPQCs) are used. These appliances use sophisticated Park and Clarke transformations and classic PI (PIC) controllers, which may not be suitable for rapidly changing loads. Furthermore, integration with renewable resources and battery energy storage systems improves the performance of these devices (BESS). This document describes UPQC's new control strategy, which combines the PV system and BESS (UPVBSS). Introduced MPPT for PV systems and artificial neural network controller (ANNC) for UPQC series, shunting active filters to minimize THD, power factor and main it improves the power supply voltage to eliminate variations (dip/swell, glitch, interruption, etc.) and maintains a constant DC-link voltage with short settle point. This study investigates the performance of UPVBSS utilizing numerous test cases with varying source and load parameters, demonstrating good performance in terms of power quality enhancement, total harmonic distortion (THD) and power factor, as well as the waveforms.