부산대학교 도서관

Solar energy is a sustainable and highly promising renewable energy source. The commonly employed Perturbation and Observation (P&O) and Incremental Conductance (INC) methods exhibit advantages such as ease of implementation. However, achieving maximum power through Maximum Power Point Tracking (MPPT) proves challenging under partial shading conditions (PSCs). This paper proposes a novel MPPT based on segmented cubic Hermite interpolation (HPO) to efficiently track the maximum power under all weather conditions. The proposed MPPT is applied to a photovoltaic system comprised of a photovoltaic array and a boost chopper. The feasibility and effectiveness of the proposed HPO algorithm are validated through a comparison with INC and Particle Swarm Optimization (PSO) methods. A solar photovoltaic system based on the Hermite interpolation Maximum Power Point Tracking (HPO-MPPT) algorithm was constructed using MATLAB/SIMULINK software. The system underwent testing under four different lighting conditions, revealing an average tracking efficiency and speed of 99.84% and 0.28 s, respectively, under these conditions. Notably, the proposed method achieved the highest tracking efficiency of 99.99% and the fastest tracking speed of 0.23 s under PSCs.