Global maximum operating point tracking for PV system using fast convergence firefly algorithm

Authors : Madhusmita MOHANTY, Sankar SELVAKUMAR, Chandrasekaran KOODALSAMY, Sishaj Pulikottil SIMON

Pages : 4640-4658

View : 18 | Download : 7

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Global maximum operating point insert ignore into journalissuearticles values(GMOP); tracking is an important requirement of solar photovoltaic insert ignore into journalissuearticles values(PV); systems under partial shading conditions insert ignore into journalissuearticles values(PSCs);. Though the perturb and observe algorithm is simple and effective, it fails to recognize the GMOP. This paper explores the application of the firefly algorithm insert ignore into journalissuearticles values(FA); to the maximum power point tracking insert ignore into journalissuearticles values(MPPT); problem of PV systems. In order to determine the shortest path to reach the GMOP under various PSCs, a new fast convergence firefly algorithm insert ignore into journalissuearticles values(FA); is proposed. Additionally, the change in firefly position is limited to a maximum value identified based on the characteristics of the PSC. The fast convergence method is guaranteed to find the GMOP, avoiding the local operating point obstacle through a repeated space search technique. Using MATLAB, the algorithm is implemented on a model PV system. An experimental 300-W PV system is developed to validate the operating point of the PV system under various PSCs. The proposed method is tested on a 5-kW solar power plant. The results demonstrate that the proposed MPPT algorithm outperforms particle swarm optimization, FA-based MPPTs, and other methods available in the literature.
Keywords : Global maximum operating point, PV panel, fast convergence firefly algorithm, partial shading