Enhanced Equilibrium Walrus Optimizer (EWO)

Enhanced Equilibrium Walrus Optimizer-Based Tracker for Enhancing The Generation of Photovoltaic System Under Partial Shade

This study suggests a new equilibrium walrus optimizer (EWO), which is an improved version of the traditional walrus optimizer (WO), as a maximum power point tracker (MPPT) installed with PV array to improve its generation. The suggested EWO employs the equilibrium-bool strategy to enhance the exploration process, particularly in search spaces characterized by numerous local regions. It also improves exploitation through adjusting control parameters, alternating to the random parameters used in the original WO. The suggested approach adapt the duty cycle of the dc-dc boost converter connected to the 4×1 PV array terminals such that the harvested energy is maximized. The efficacy of the proposed EWO has been confirmed through comprehensive testing on the CEC’20 benchmark problems. It has demonstrated superior performance when compared to both traditional and contemporary metaheuristic algorithms, particularly in effectively navigating the search space and achieving convergence towards near-optimal regions. Also, three PS situations are studied while the suggested EWO is compared to grey wolf optimizer (GWO), sine cosine algorithm (SCA), equilibrium optimizer (EO), and traditional WO. The suggested EWO succeeded in monitoring the GP achieving the best efficiencies of 99.92172%, 99.9097%, and 99.88653% among the considered approaches during the studied PS situations. The findings underscore a significant enhancement in the PV array generation when the suggested EWO-based tracker is utilized.