Performance of AI Techniques on Finding Switching Angles for SHEPWM Inverter-A Review

Extensive research is being done to produce energy from renewable energy sources due to the global environmental effects of greenhouse gas emissions and the steadily declining availability of fossil fuels. There are several uses for an inverter’s capacity to change DC electricity into AC power, including satisfying load requirements. Nonetheless, the efficiency and performance of the inverter are reduced when there are various harmonics present in the output voltage. Many investigations have been carried out in the past few years to try and eliminate harmonics in accordance with IEEE 519 guidelines. The results of multiple research suggest that the Selective Harmonic Elimination Pulse-width Elimination approach (SHEPWM) is the most efficient way to eliminate lower order harmonics with the least amount of switching loss. However, as the methods largely rely on choosing initial values for iteration, it has proven challenging to achieve accurate answers when numerical methods are used to solve transcendental equations for discovering switching angles. The aforementioned equations can be solved more effectively by using artificial intelligence techniques, according to several studies. The usefulness of a few artificial intelligence techniques for eliminating harmonics from inverters is discussed in this review paper. Based on the information acquired from multiple literature surveys, a conclusion has been made.