An optimized photovoltaic system using an effective energy conversion

This paper describes an autonomous photovoltaic (PV) system with an effective energy conversion. An optimized maximum-power-point tracking algorithm based on a perturb-and-observe system makes the maximum-power-point research more stable and fast thanks to an auto-adaptive current step. The energy storage of the system is also improved by using a hybrid energy storage which combines batteries and ultracapacitors. The goal of the research is to manage and to optimize energy flow from sources considering consumer demand. Ultracapacitors are requested during power demand, so batteries function under better conditions by avoiding deep discharges. Our results were obtained by simulation in order to confirm the performance and advantages of the global system.