Management of Power Flow in Hybrid Power System using Fuzzy Controller

Abstract

Management of Power flow in hybrid power systems, aiming on renewable energy sources likewise photovoltaic (PV) arrays, fuel cells (FC), and batteries integration. It emphasizes adaptive neuro-fuzzy inference systems (ANFIS) for efficient power distribution, addressing challenges like variable solar irradiance and fluctuating load demand. The proposed control strategy combines advanced fuzzy logic and ANFIS-based MPPT controllers to optimize energy management, ensuring reliable and sustainable power supply. Grid-connected and standalone hybrid systems are analyzed, highlighting their performance under varying environmental conditions. The Matlab/simulation results demonstrate superior dynamic stability, enhanced efficiency, and improved lifecycle management of storage devices, paving the way for future advancements in renewable energy systems