Design and Control of a Solar Photovoltaic Fed Asymmetric Multilevel Inverter Using Computational Intelligence

Abstract

Selective harmonic mitigation method is primarily used in the suppression of lower order harmonics. The Bee colony optimization method is used to implement a SHE technique in this paper; the reduced switch thirty-one stage inverter receives input voltage from the photovoltaic system. A stable voltage is maintained at the photovoltaic panel's output through a SEPIC converter. Grey Wolf Optimization is used to boost the efficiency of the photovoltaic system. Multi Carrier modulation method is often used to reduce the current and voltage harmonics in the inverter. Additionally, the proposed BCO method is compared with genetic algorithm based SHE method. The proposed suggested framework has been validated using Matlab simulation, and the prototype results have been validated using DSPIC30F2010 controller.