Performance Assessment of a Multi-Verse Optimizer-Based Solar-PV Inverter for Grid-Connected Applications

Abstract

As the need for renewable energy has increased over the preceding decade or so, grid connected Photovoltaic (PV) systems have grown in prominence. Effective control strategies have become vital role in ensuring the optimal performance of these systems, particularly in the sense of Power Quality (PQ), efficiency, and grid synchronization. Hence, this paper proposes a Multi-Verse Optimizer (MVO) based inverter controlling stratage for enhancing the concert of a grid connected PV system. The MVO algorithm is employed to determine optimal gain values for both the current and voltage controllers of the PV inverter. The anticipated MVO-based controller is rigorously evaluated through MATLAB/ Simulink, considering key performance indicators such as grid current total harmonic distortion (THD), grid’s voltage and current, and PV’s voltage and current. With the aim of demonstrating the effectiveness of the suggested technique, a comparative study is carried out using a 3.5 kW grid connected PV system test case, benchmarking the MVO-based controller in contradiction to an Ant Lion Optimizer (ALO) based controller. The simulation outcomes conclusively validate the superior demonstration of the proposed technique as compared to ALO controller across all evaluated cases, highlighting its capability to achieve notable improvements in grid-connected PV system performance.