Adaptive control of single-phase DC/AC converter for grid connected photovoltaic applications

This work presents an adaptive control technique for a grid connected inverter. The photovoltaic system is highly dependent on the weather conditions. The Particle Swarm Optimization method is used to extract the maximum power. The Proportional Integral Corrector based on neural network is proposed to control the current injected to the power grid. Simulation results showed that the proposed method is able to produce good quality of energy and is adaptive over time.