DocumentCode
1816342
Title
A new method for Selective Harmonic Elimination in Voltage Source Inverter using Imperialist Competitive Algorithm
Author
Mohammadi, Hamid Reza ; Falahati, Saber ; Zeraati, Mahdi
Author_Institution
Dept. of Electr. Eng., Univ. of Kashan, Kashan, Iran
fYear
2012
fDate
15-16 Feb. 2012
Firstpage
175
Lastpage
180
Abstract
This paper presents an efficient and reliable Evolutionary Algorithm based solution for Selective Harmonic Elimination (SHE) switching pattern. This method eliminates considerable amount of lower order line voltage harmonics in Pulse Width Modulation (PWM) inverter. Determination of pulse pattern for the elimination of some lower order harmonics of a PWM inverter necessitates solving a system of nonlinear transcendental equations. Imperialist Competitive Algorithm is used to solve nonlinear transcendental equations for PWM-SHE. Several methods are available to eliminate the higher order harmonics and it can be easily removed. But the greatest challenge is to eliminate the lower order harmonics and this is successfully achieved using Imperialist Competitive Algorithm without using transformer. Simulations using MATLAB are carried out to validate the solution and are compared with the Genetic Algorithm. The results show that the harmonics up to 13th were totally eliminated.
Keywords
PWM invertors; genetic algorithms; harmonics suppression; nonlinear equations; Matlab simulation; PWM inverter; SHE switching pattern; genetic algorithm; higher order harmonic elimination; imperialist competitive algorithm; low order line voltage harmonics; nonlinear transcendental equation systems; pulse pattern determination; pulsewidth modulation inverter; reliable evolutionary algorithm; selective harmonic elimination; transformer; voltage source inverter; Harmonic analysis; Pulse width modulation; Reliability; Harmonics; Imperialist Competitive Algorithm (ICA); Inverter; Selective Harmonic Elimination;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Drive Systems Technology (PEDSTC), 2012 3rd
Conference_Location
Tehran
Print_ISBN
978-1-4673-0111-4
Type
conf
DOI
10.1109/PEDSTC.2012.6183321
Filename
6183321
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