Abstract
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 of these challenges is how to efficiently and sustainably supply energy to Low-Power Wide-Area (LPWA) wireless communication devices that perform the important functions of monitoring and remotely controlling the flow of electrical energy throughout its transmission and distribution. In this context, the present work aims to compare, through computer simulation, the performance of PO (Perturb and Observe), PSO (Particle Swarm Optimization), and FPA (Flower Pollination Algorithm) techniques in the Maximum Power Point Tracking (MPPT) of a low power photovoltaic system used to power LPWA devices. To obtain the results, the value of the Maximum Power Point (MPP), the oscillations in the MPP region, and the efficiency achieved by each technique were evaluated under static and dynamic conditions of irradiance.
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Junior, C.M.L., Casella, I.R.S., Cambero, E.V.V., Capovilla, C.E. (2022). Comparison Between PO, PSO, and FPA Techniques Applied to MPPT of a Low-Power Photovoltaic System for LPWA Devices. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. (eds) Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). BTSym 2021. Smart Innovation, Systems and Technologies, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-031-08545-1_20
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