GMPP Tracking of Solar PV system using Spotted Hyena and Quadratic Approximation based Hybrid Algorithm under Partially shaded conditions

The demand for clean and renewable energy is increasing due to environmental concerns. Photovoltaic (PV) system very popular from the sources its usage increasing. PV power transfer efficiency depends on several factors such electrical characteristics of loads, solar irradiation, shading condition panel temperature. process transferring maximum possible load by adjusting parameters called point tracking (MPPT). Under partially shaded conditions, multiple peaks are created in curves makes MPPT a non-convex problem. It challenging problem track global (GMPP) under conditions. essential recognize GMPP restart string as early prevent physical well economical damage. In this paper, new hybrid algorithm proposed QASHO, combination Spotted Hyena optimization (SHO) Quadrature approximation (QA) technique. QASHO used different weather conditions partial shading. simulation results compared with Perturb Observe (P&O) Cuckoo Search (CSO) promised better performance GMPP. experimental provided validate methodology.