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New Dynamic and Self-Adaptive Incremental Conductance Algorithm for Standalone PV System

In this work, an enhancement of the Incremental Conductance (IC) Maximum Power Point Tracking (MPPT) technique is presented. The introduced work deals with the main questions about this technique: the choice of an adequate step-size, and the accuracy of tracking the Maximum Power Point (MPP). The proposed work consists to add a regulator designed by a recently proposed optimization algorithm named the Equilibrium optimizer (EO) to reach the both aims. The proposed technique makes the MPPT control more dynamic and self-adaptive against the changing occur in the environment (irradiance). The comparative study with optimized Step-size P&O and IC methods prove the superiority of the introduced technique in term of energy extraction and rapidity. The introduced work is developed in the MatLab/Simulink environment.