Abstract: In renewable energy sources (RESs), the multilevel inverter is essential because it provides an economical and highly effective way to convert DC from photovoltaic (PV) sources into high AC voltages. Furthermore, a novel technology is really significant as it enhances power generation efficiency and allows PV systems to be seamlessly integrated into the grid, which promotes the wider adoption of RES and a sustainable future. Through determining the ideal switch angles in this study, the particle swarm optimization (PSO) algorithm is applied. The reduced switches multilevel inverter output load voltage with the minimum capacity of total harmonic distortion (THD) is the basis for selecting these angles. The method is being used for the nonlinear equations related to the switching angle computation. In this experiment, the DC source is an isolated, irregular photovoltaic panel feeding a three phase 25-level inverter with fewer switches and sources. Both theoretical research and simulation are conducted using Matlab/Simulink for a multilevel inverter 12-switches/phase, where the input DC voltages are organized as (1:1:5:5)Vdc for each phase. The THD of the 25-level output voltage and current are 1.78% and 0.19%, respectively. The designed system explains its effectiveness for producing the required output voltages at different modulation indexes.
Keywords: Renewable energy sources, MPPT algorithm, multilevel voltage source inverter,selective harmonic elimination, particle swarm optimization, THD.
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