Abstract
Genetic algorithm optimization methodology for PWM Inverters of Intelligent universal transformer for the advanced distribution automation of future
Highlights
Genetic Algorithm (GA) imitates the biological evolution utilizingThe novel control methodology based on genetic reproduction and crossover as a powerful genetic algorithm is proposed controlling of three phase PWM operators
Each substring with the specific population of Living organisms, it is used in many length is extracted from the string, decoded and mapped distributed control system engineering (Clark & Mason, into the corresponding space. (Rabi Justus et al, 2007)
Advanced infrastructure technologies are concerned with the forthcoming distribution automation which will bring up novel technologies like Intelligent Electronic Devices (IEDs) in general and Intelligent Universal Transformer (IUT) in specific
Summary
GA imitates the biological evolution utilizingThe novel control methodology based on genetic reproduction and crossover as a powerful genetic algorithm is proposed controlling of three phase PWM operators. GA is introduced for optimization of smart and proposed GA for power quality enhancement in adaptive controllers in case of unknown and nonlinear adjustable speed drives using PWM method for inverters systems whose objective functions are haphazard or controllers. Current source PWM inverters of IUT to find out the best optimal switching patterns.
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