Hybrid Fuzzy Logic interface PI Controller (HFLPIC) to enhance Power conversion efficiency in an Autonomous Microgrid

If managed properly, Microgrids (MG) are autonomous, deregulated, and environmentally sustainable. Additionally, they reduce the load on the utility grid. However, given that they depend on unplanned environmental factors, these systems have an unstable generation capacity. Central power system failures have persisted as a result of the microgrids' instability. This paper aims to design and develop the integration of a hybrid fuzzy logic interface PI controller with a Z-source inverter (ZSI) using Space Vector Pulse Width Modulation (SVPWM) technique to enhance power conversion efficiency in Autonomous Microgrid systems. The ZSI, with its unique impedance network, mitigates voltage sags and swells, improving grid reliability. The Hybrid Fuzzy logic interface PI Controller (HFLPIC) dynamically adjusts controller gains based on operating conditions, enhancing transient response and steady-state performance. The SVPWM technique minimizes harmonic distortion and switching losses, further improving system efficiency. Simulation results validate the effectiveness of the proposed system, showcasing regulated output voltage and Total Harmonic Distortion (THD). The integration of these techniques offers a promising solution for efficient power conversion, improved power quality, and reliable operation in Autonomous Microgrid applications.