Artificial bee colony algorithm for inverter complex wave reduction under line-load variations

Abstract

This paper describes the minimization of total harmonics in a single-phase sine wave voltage source inverter using a proportional–integral (PI) controller by estimating the optimized values of PI constants using an artificial bee colony (ABC) algorithm under line-load variations. The single-phase inverter is a non-linear load using power electronic components causing distortions in the load voltage and current wave patterns from the sinusoidal waveforms due to harmonics. A state variable analysis for the single-input–single-output (SISO) model of an inverter was developed by considering the switching sequence of a voltage source full bridge sine wave inverter. The ABC algorithm calculates the optimized values of the constants for the PI controller, thereby tuning the controller for reducing the total harmonics of an inverter. The MATLAB/Simulink tool and an experimental set-up were implemented, and their total harmonic distortion (THD) values were estimated. The outcomes of the proposed ABC scheme were compared with the previous results such as the PI algorithm, fuzzy logic controller, neuro-fuzzy controller, particle swarm optimization (PSO) and the bat algorithm. A practical example of the ABC algorithm is considered in the present harmonic reduction problem. From the simulation and experimental results using the ABC algorithm, it was observed that its harmonics levels were reduced considerably compared with IEEE and IEC standards.