Power quality enhancement in grid-connected PV structure using Z source inverter and seagull optimization algorithm

In recent years, the most utilization of power electronic devices with renewable energy sources increase the harmonic level in current and voltage. Because of harmonics, the delivered power quality is affected. In literature, Power Quality (PQ) mitigation methods are available which fails to enhance the performance at critical load conditions. Hence, in this paper, the Seagull Optimization Algorithm (SOA) based Z Source Inverter (ZSI) is utilized to empower real power by compensating the reactive power requirement in the grid-connected Photovoltaic (PV) structure. The ZSI can be controlled with the assistance of the SOA algorithm which completely mitigates PQ problems. The main objective of the projected methodology is to compensate reactive power transfer and empower real power in a grid-connected PV structure. The projected methodology is utilized to manage the voltage in addition current through the ZSI in the grid- connected PV system. The projectedtechnique is executed in the MATLAB/Simulink platform and performances were evaluated. The proposed methodology can be compared with conventional methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO), respectively. The proposed methodology is validated by real and reactive power, voltage, current and frequency.