Paper Information

Journal:   IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)   SUMMER-FALL 2007 , Volume 6 , Number 2; Page(s) 119 To 124.
 
Paper: 

POWER QUALITY ENHANCEMENT IN ASD SYSTEMS USING GENETIC ALGORITHMS

 
 
Author(s):  JUSTUS RABI B., DARLY S.S., ARUMUGAM R.
 
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Abstract: 

In traditional Adjustable Speed Drives (ASDs) voltage controller low power factor and high-energy are some of the major drawbacks. These can be eliminated using Genetic Algorithm based PWM optimization. This Genetic Algorithm optimization eliminates the harmonics in the inverter output and provides power factor close to unity. The increased use of power electronics-based loads, (adjustable speed drives, switch mode power supplies (SMPS), etc.) for improving system efficiency and controllability results in increase in the harmonic distortion levels in end use facilities and overall power system. In this paper, the harmonic contents and distortion factor are less in the output of Genetic Algorithm optimized pulse width Modulated impedance source inverter when compared to standard PWM and random PWM based inverters. It is the most economic methodology to improve the power quality of inverters.

 
Keyword(s): HARMONIC DISTORTION, IMPEDANCE SOURCE INVERTER (ZSI), PULSE WIDTH MODULATION (PWM), GENETIC ALGORITHM (GA)
 
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