Bio-inspired Multiobjective Optimization Approach for Total Harmonic Distortion Reduction in a DC-AC Power Converter

The incorporation of power electronics devices into electrical networks can result in significant total harmonic distortion. This occurs in DC power converters that convert to AC due to the imperfect reconstruction of an alternating sine wave signal, resulting in the presence of harmonics in the generated AC signal. A signal with high harmonic content can negatively impact the quality of energy and damage devices connected to the electrical network. One method to reduce harmonic content in an AC signal is through the addition of filters to the power converter. However, designing these filters can be a complex task, particularly when seeking an optimal design beyond traditional techniques. This paper presents a method for the optimal design of filters in a DC-AC power converter using multi-objective optimization. The performance of the filters is evaluated by analyzing the total harmonic content of the converter's output signal, using permissible values from Mexico's network code for energy quality as a reference. The results demonstrate that the use of meta-heuristic techniques for the design of power electronics devices is a viable alternative in electronic design.