On handling partial shading conditions the power obtained at the output from the PV modules decreases drastically and the P–V characteristics of the photovoltaic modules is non‐linear with multiple peaks including several local peaks and giving a single global peak. In such condition, it is challenging to track exact global maximum power point (GMPP). Conventional MPPT methods like Perturbation and Observe, Incremental conductance, Hill‐climbing, etc. often lose to track GMPP as they often get confused with local peak and global peak resulting in extracting less power from PV modules. This paper presents modified firefly algorithm which is nature inspired implemented to track the GMPP. Its tracking efficiency is compared with the original firefly and also incremental conductance algorithm. The simulated results shows that the proposed algorithm can track high power, has better tracking quickness, and has effectively faster convergence time. The proposed modified firefly algorithm is fed to a DC–DC converter and the results are simulated.
Modified Firefly‐Based Maximum Power Point Tracking Algorithm for PV Systems Under Partial Shading Conditions
2020-07-15
21 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Object tracking with improved firefly algorithm
British Library Online Contents | 2018
|BASE | 2023
|Operation of series‐connected silicon‐based photovoltaic modules under partial shading conditions
Online Contents | 2012
|