Power Quality Enhancement Using Evolutionary Algorithms in Grid-Integrated PV Inverter

Researchers are now concentrating on the problem of finding the optimal P-Q control of real and reactive power in grid-connected inverters with the emergence of Solar PV systems. The provision of both real and reactive power is essential for the improvement of overall power quality; in addition to maintaining grid voltage and power factor, grid-interlinked inverters are seen as the most cost-effective means of compensating for real and reactive power. In various ecological settings, photovoltaic systems are linked to the power grid to deliver reactive power. This paper proposes the decoupled P-Q model with the Salp swarm optimization technique to manage the Grid-tied inverters. Moreover, the proposed controlling techniques reduce Total Harmonic Distortion (THD) and output controlled power more efficiently than existing controllers. Moreover, THD is calculated and exhibited. Numerical simulations demonstrate that SSO and PSO algorithms can resolve a harmonic elimination problem just as effectively as GA. When compared to SSO, PSO yields numerical simulation outcomes that are steadier and feature a smaller standard deviation. A 75 kW grid-linked converter is modelled and tested in a simulation study with MATLAB Simulink to prove the efficiency of the system. Utilizing the MATLAB Software, the proposed Salp swarm optimization approach is compared to conventional optimization approaches such as PI controller, GA, and PSO. The results of the traditional feedforward controller are compared with the suggested SSO technique in a variety of cases. A low-scale prototype model is also created for real-time implementation to authenticate the outcomes of the simulations.