ANALYSIS OF BIO-INSPIRED MPPT TECHNIQUES FOR A PHOTOVOLTAIC SYSTEM APPLIED TO LPWA DEVICES
Smart Grids (SGs) are one of the recent solutions for the growing energy demand in the world. However, its development and implementation present some challenges that need to be overcome for its full success. One such challenge is how to efficiently power the Low Power Long Range (LPWA) wireless communication devices that perform the important functions of remote monitoring and control of the network. In this context, the present work aims to compare, through computer simulation, the performance of PO (Disturb and Observe), PSO (Particle Swarm Optimization) and FPA (Flower Pollination Algorithm) techniques in the Tracking of the Maximum Power Point (MPPT) of a low power photovoltaic system used to power LPWA devices. Furthermore, as an additional part of the contribution of this work, it used the iterative technique to obtain some unknown parameters of the module adopted in the photovoltaic system of this work.