Power Harvesting Enhancement from PV array and Power Quality Improvement in Grid Connected PV Interleaved Inverter Using Hybrid LSE-WHO Approach

Abstract

This manuscript proposes a hybrid approach for multi-functional grid connected photovoltaic (PV) interleaved inverter using power quality improvement. The proposed approach is a combination of Spherical Evolution Search Algorithm (LSE) and Wild Horse Optimizer (WHO), therefore it is called LSE-WHO approach. The main objective of the proposed approach reduces DC voltage fluctuation and improves power quality. The interleaved inverter is utilized at the grid side, which consists of four legs and every leg contains a power electronic switch and a diode. Due to the configuration of interleaved inverter shoot-through effect is overcome. The system performance is enhanced by the utilization of interleaved inverter. The proposed approach operation is classified into 2 parts such as power harvesting and the harmonics reduction. The LSE approach is utilized to extract the maximum power of PV and the WHO approach is utilized to reduce the harmonics distortion and eliminated the DC link voltage fluctuation through double band hysteresis current controller (DBHCC). DBHCC provides lesser switching frequency, hence, the switching losses is low. By then, the LSE-WHO approach is implemented in the MATLAB site, its performance is compared to the existing approaches. From the simulation, it is conclude that the LSE-WHO approach provides the THD as 2.12% and increase the power quality.