Comparação de desempenho de técnicas de rastreamento de máxima potência de módulos fotovoltaicos sob condições de sombreamento parcial

Fábio Inácio da Silva; Caio Meira Amaral da Luz; Enio Roberto Ribeiro; Fernando Lessa Tofoli

doi:10.20906/CBA2022/3707

Fábio Inácio da Silva Universidade Federal de São João del-Rei, Praça Frei Orlando, 170 - B. Centro 36307-352 São João del-Rei-MG
Caio Meira Amaral da Luz Universidade Federal de Itajubá, Av. BPS, 1303 - B. Pinheirinho 37500-903 Itajubá-MG
Enio Roberto Ribeiro Universidade Federal de Itajubá, Av. BPS, 1303 - B. Pinheirinho 37500-903 Itajubá-MG
Fernando Lessa Tofoli Universidade Federal de São João del-Rei, Praça Frei Orlando, 170 - B. Centro 36307-352 São João del-Rei-MG

DOI: https://doi.org/10.20906/CBA2022/3707

Keywords: bat algorithm, golden section optimization, global maximum power point tracking, partial shading

Abstract

Partial shading conditions can significantly reduce the efficiency of a photovoltaic (PV) system. The literature has presented increasingly sophisticated techniques to deal with this problem, considering that conventional maximum power tracking (MPPT) approaches are inefficient in such a case. In this sense, this paper presents a comparison among four techniques for determining the maximum power point (MPP) when the irradiance levels incident on the PV modules are not uniform. Gray wolf optimization (GWO), differential evolution (DE), bat algorithm (BA), and golden section optimization (GSO) are chosen for this purpose. Simulation results on a total-cross-tied (TCT) PV string connected to a dc-dc single-ended primary inductance converter (SEPIC) are presented and discussed to compare the aforementioned approaches.