Advanced design and optimization of novel fibonacci switched capacitor converters for ultra high efficiency DC-DC power conversion

Abstract

The study explores the design and analysis of two DC-DC converter configurations integrated with solar photovoltaic (PV) renewable energy systems, comparing the conventional boost converter with a novel Fibonacci switched-capacitor (FSC) boost converter. Advanced Maximum Power Point Tracking (MPPT) algorithms, including Perturb and Observe (P&O), Incremental Conductance (INC), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), are paired with both converters to optimize energy extraction from solar PV systems. Simulation results reveal that both converter topologies, when combined with the appropriate MPPT algorithms, effectively maximize power output from the solar PV system.