A novel HRMO-AOA approach for a grid integrated wind-solar PV system with a 5-level NPC inverter

A maiden attempt was made to utilize a novel hybrid meta-heuristic algorithm named radial movement optimization with arithmetic optimization algorithm (HRMO-AOA) for the application of a selective harmonic elimination (SHE) in a five level-neutral point clamped inverter (5 L-NPCI). The investigated system comprises of a grid integrated solar PV cell with 5 L-NPCI and wind units. HRMO-AOA technique is utilized to optimize the switching angles of the 5 L-NPCI reducing the total harmonic distortion (THD). Investigations are carried with grid connected solar PV considering complex solar irradiations, fixed wind power at constant and step load changes for the first time. Studies reveal that the 5 L-NPCI with SHE technique (301 V) performs well over sinusoidal pulse width modulation (SPWM) technique (290.05 V) at fixed and varied load conditions. Further, 5 L-NPC has shown significant improvement in THD reduction with HRMO-AOA technique (4.59 %) over conventional methods like SPWM (17.66 %), SHE-PWM (9.88 %) neural network with PSO (8.64 %), firefly algorithm (7.88 %), differential harmony (7.52 %) and teaching-learning (6.89 %) at fixed and varied load conditions. Furthermore, investigations suggests that 5 L-NPCI with HRMO-AOA techniques converges faster over above mentioned techniques.