Maximum Power Extraction using Ant Lion Optimization Technique for Photovoltaic System

A Novel Maximum Power Point Tracking (MPPT) Algorithms has been designed for the Photovoltaic System (PV) to overcome the effect of partial shading condition using Ant Lion Optimizer (ALO) algorithm. The conventional Algorithms has been failed to track the peak point for variable atmospheric conditions. The novelty of this work is the Ant Lion Optimizer (ALO) algorithm has been proposed for MPPT which has the ability to perform under variable atmospheric conditions. The detailed simulation and experimental work has been carried out on ALO algorithm. To validate its performance and to show the supremacy of this method it has been further compared with conventional Perturb and Observe (P&O) and Incremental Conductance (IC) Algorithms. The simulation study has been carried out for various steady state and dynamic operating conditions. The boost converter experimental setup has been developed in the laboratory to test the feasibility of the system. dSPACE DS1103 control interface is for Real Time Implementation (RTI). The experimental results have shown very good agreement with the simulation results.