Optimized Control Strategy for Grid-Connected PV Inverters: A Performance Study Using Hybrid Moth Flame Optimizer and Dragonfly Algorithm
摘要
A hybrid optimization algorithm consisting of the Moth Flame Optimizer and Dragonfly Algorithm is proposed in this work as an innovative control approach for grid-connected photovoltaic inverters. The newly developed hybrid MFO-DA algorithm tunes the proportional-integral controller gains to enhance the inverter’s dynamic performance and reduce harmonic distortion. The proposed technique was shown to outperform the conventional Particle Swarm Optimization method. The evaluation measures the impact on important parameters: source current, load current, converter injected current, wind energy system current and Total Harmonic Distortion. Simulations confirm that the hybrid MFO-DA algorithm delivers improved response speed and harmonic reduction, resulting in an all-round superior performance for the grid-connected PV system. This method performs better than the conventional PSO algorithm, suggesting its capability to improve the efficiency and power quality of PV grid-connected inverters.