APPLICATION OF BACTERIAL FORAGING OPTIMIZATION ALGORITHM FOR SELECTIVE HARMONIC ELIMINATION STRATEGY IN MULTILEVEL INVERTERS

The reduction of harmonics in an 11-level cascaded H-bridge Multi Level Inverter (MLI) by applying the Bacterial Foraging Optimization Algorithm (BFOA) is reported in this study. The removal of lower order harmonics while maintaining satisfaction of fundamental component needs is the primary goal of the selective harmonic elimination pulse width modulation technique. The rod-shaped bacteria Escherichia coli, which belongs to the genus, is responsible for the collective foraging activity that drives BFOA. The fundamental biology that underpins Escherichia coli’s approach to foraging is reproduced in a remarkable way and utilised as the basis for a straightforward optimisation technique. This approach possesses a greater degree of accuracy as well as a chance of convergence. In the MATLAB/SIMULINK program, the Bacterial Foraging optimisation technique is utilised for the purpose of optimising the switching angle of the Cascaded Multi Level inverter (CMLI). Simulations of an 11-level H-bridge inverter are used to validate the findings of theoretical calculations. The results of the simulation show that the proposed approach is effective in removing a large number of particular harmonics, and as a consequence, the output voltage achieves a low level of total harmonic distortion..