TITLE:
Harmonic Minimization in Seven-Level Cascaded Multilevel Inverter Using Evolutionary Algorithm
AUTHORS:
Jeyabharath Rajaiah, Velmurugan Ramar, Veena Parasunath
KEYWORDS:
Multilevel Inverter, Selective Harmonic Elimination, Genetic Algorithm, Particle Swarm Optimization, Harmonic Minimization
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
19,
2016
ABSTRACT: Inverters are power
electronic devices that change over DC to sinusoidal AC quantity. Be that as it
may, in down to earth, these devices produce non-sinusoidal yield which
contains harmonics, so as to blend a close sinusoidal component and to lessen
the harmonic distortion multilevel inverters developed. Mathematical methods,
which were developed, are derivative based and need initial considerations. To
overcome this, evolutionary algorithms, which are derivative free and accurate,
were developed for obtaining multi levels of output voltage. The proposed work
uses two evolutionary algorithms, namely, Genetic Algorithm (GA) and Particle
Swarm Optimization (PSO) algorithm. These algorithms are used to generate the
switching angles by satisfying the non linear transcendental equations that
govern the low order harmonic components. A seven level cascaded full bridge
inverter is designed using MATLAB/Simulink and the results validate the resultsfor switching angles. The Total
Harmonic Distortion (THD) value obtained for GA and PSO is 11.81%and 10.84% respectively. The solution
obtained from GA algorithm was implemented in hardware using dsPIC controller
to validate the simulation results. The THD value obtained for cascaded
seven-level multilevel inverter in the hardware prototype is 25.9%.