Coot Optimization Algorithm-Based PI Controller for MPPT of Grid-Connected PV System

Abstract

The importance of Maximum Power Point Tracking (MPPT) techniques in Grid-Connected Photovoltaic (GCPV) systems cannot be exaggerated as they enable the GCPV system to generate the maximum amount of power regardless of the operating conditions. This research proposes a Coot Optimization Algorithm (COA) to optimize the gain parameters of the PI controllers and identify the maximum power point (MPP) of the GCPV system. Additionally, an Energy Storage System (ESS) is introduced to smooth up the output power 's fluctuations of the proposed GCPV system. The PI controllers are then utilized to match the measured signal (voltage/current) in both the GCPV and storage systems to the reference values. The optimization and simulation analysis were conducted in the MATLAB/SIMULINK environment. The simulation results revealed that, based on the provided solar irradiance and temperature levels, an efficiency of 94.25% was achieved for delivering the maximum power to the load.