Three-phase DC/AC power converter with power quality optimization

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Abstract
Introduction— The DC/AC power conversion systems currently used in multiple applications such as alternative energy sources involve power quality problems due to voltage regulations and distortions such as those caused by harmonic distortion. Objective— Develop a power converter prototype that, through a multi-objective genetic algorithm, allows optimizing the energy quality of three-phase inversion systems through the use of multilevel converters. Methodology— The prototype to be used in the power conversion is defined, the output voltage is modeled mathematically, the optimization multi-objective genetic algorithms are developed, the prototype is implemented and its operation is validated. Results— The algorithm developed and implemented in the developed prototype mitigates power quality phenomena associated with short and long duration variations such as swell, sag, undervoltage and overvoltage, avoids the presence of voltage fluctuations and presents a lower harmonic content in all 1% cases. Conclusions— The implemented prototype allows optimizing the power quality of three-phase power supply systems through the use of multilevel inverters, avoiding the presence of power quality phenomena.