An improved regression‐based perturb and observation global maximum power point tracker methods

• DOI: 10.1049/rpg2.13017
• Publication Date: 2024-06-03T09:25:21Z
• Authors: Hasan Gundogdu; Alpaslan Demirci; Said Mirza Tercan; Ali Durusu
• Keywords: Hill climbing; Maximum power principle; Power Electronics

Abstract Solar photovoltaic energy is a vital renewable resource because it clean, endless, and pollution‐free. Due to the fast growth of semiconductor power electronics sectors, (PV) technologies are climbing significant attention in modern electrical applications. Operating PV conversion systems at maximum point essential for getting output raising efficiency. This paper proposes regression‐based Perturb Observe method quickly find global point, avoiding being stuck local maxima, likewise analytical metaheuristic methods. The improved control focuses on narrowed search areas by linear non‐linear regression analyses using generated model flexible Python environment. Furthermore, method's accuracy validated real time under variable temperatures, irradiations, loads. was proven with hardware implementation. proposed more than 98% accurate can withstand long‐term modelling. suggested perturbation observation provided short learning easy Additionally, dynamic recorded results be visualized researchers utilize efficiently.