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Genetic Algorithm Optimization Methodology for PWM Inverters of Intelligent Universal Transformer for the Advanced Distribution Automation of Future
This paper intends to optimize the control fashion of PWM inverters of Intelligent Universal Transformer (IUT) using Genetic Algorithm (GA). IUT is the state of art proposed as an electrical key point of Advanced Distribution Automation (ADA) technology. It comprises the power electronic construction and high frequency transformer. ADA will be raised for tomorrow's distribution system to perform the exchanging platform for both data and information which will be fully monitored and automatically controlled. IUT is introduced as intelligent electronic devices in lieu of traditional transformer with the controllable architecture that enhances the reliability and system performances and leading to the various services and user benefits like desirable output voltage, level and frequency, DC voltage options and sag correction. In case of oil elimination benefit it also yield to size and weight reduction. In this approach current and voltage source controllers based on GA optimization are developed for controlling the firing angle of switching pattern of PWM inverters which are recommended for voltage level and frequency control of IUT. The GA smart optimization fashion with the proposed three levels IUT topology emphasizes on the very smooth control and voltage regulation in both input and output inverters of IUT. GA improves the system characteristics under load and input disturbances with regulating the voltage and harmonic elimination.
Keywords
ADA, DA, IUT, IED, Power Electronic, GA, THD
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