Application of Biotechnology-Inspired Optimization for Efficient MPPT in Solar PV Systems

Abstract

To achieve optimal efficiency for solar PV systems, this paper proposes the Maximum Power Point Tracking (MPPT) technique using Cuckoo Search Optimization (CSO). It is benchmarked against Perturb & Observer (P&O) Incremental Conductance (INC) and Particle Swarm Optimization (PSO). The suggested technique was modelled in MATLAB/Simulink under various opera ting conditions, such as changes in temperature, solar irradiance, and partial shading. The efficiency was increased by 0.71%, and the settling time was shortened by 77.1% using the suggested method. The study's conclusions showed that, for solar PV systems, CSO is a viable strategy, offering the highest efficiency and lowest power loss, and outperforming all other well-known algorithms examined in this study.