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Hybrid MPPT Technique for PV Systems applied to a Two-Switch Buck-Boost Converter
(Universidade Federal do Oeste da Bahia. Centro Multidisciplinar de Bom Jesus da Lapa, 2026-05-20) Cruz, Laura Barbosa da; Carralero, Leandro L. O.; Silva, Stefania de O.
Finding the maximum power point (MPP) of a photovoltaic (PV) system and staying close to it requires more effort, since PV panels are often subjected to partial shading. When this occurs, several local maxima appear on the P-V curve, and algorithms based on local search, such as perturb and observe (P&O) and incremental conductance (INC), are unable to reach this point. For this type of application, global maximum power point tracking (MPPT) algorithms are used, such as the particle swarm optimization (PSO) technique, but they present their difficulties. A hybrid approach using a global search technique and a local search technique solves this previous problem. This work proposes a hybrid MPPT, mixing P&O and PSO techniques, applied to a two-switch buck-boost (TSBB) DC-DC converter connected to a PV panel subject to shading conditions. Simulation results, using PSIM software, are presented in order to show the effectiveness of this proposal. In this case, tests are performed to demonstrate the correct functioning of the proposed algorithm