期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：62
期号：1
出版社：Journal of Theoretical and Applied
摘要：Multi level inverter is a device used for converting DC voltage to AC voltage. Multilevel inverters are a source of high power, often used in industrial applications and can use either sine or modified sine waves. Generally IGBT switches are used in the inverter to control this switching operation. Instead of using one converter to convert an AC current into a DC current, a multilevel inverter uses a series of semiconductor power converters (usually two to three) thus generating higher voltage. At the output of the multilevel inverter the sine wave form produces large harmonics. To reduce these harmonics at the output signal, the corresponding THD of switching angles must be reduced. Generally genetic algorithm is used for harmonic optimization. But the drawback is the cost function becomes more difficult to optimize and requires increased number of iterations. Hence to reduce the number of iteration we proposed a hybrid of Genetic algorithm and Particle swarm optimization algorithm to optimize the switching angles. Hence the corresponding THD value is also reduced. The proposed technique is implemented in the MATLAB/simulink working platform.
