Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions
Ali, E., Abdelsalam, A., HossamEldin, A. (2021). Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions. EKB Journal Management System, 01(01), 1-16. doi: 10.21608/ijt.2021.266214
Ehab Mohamed Ali; Ahmed kadry Abdelsalam; Ahmed HossamEldin. "Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions". EKB Journal Management System, 01, 01, 2021, 1-16. doi: 10.21608/ijt.2021.266214
Ali, E., Abdelsalam, A., HossamEldin, A. (2021). 'Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions', EKB Journal Management System, 01(01), pp. 1-16. doi: 10.21608/ijt.2021.266214
Ali, E., Abdelsalam, A., HossamEldin, A. Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions. EKB Journal Management System, 2021; 01(01): 1-16. doi: 10.21608/ijt.2021.266214

Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions

International Journal of Telecommunications
Volume 01, Issue 01 - Serial Number 109361, December 2021, Page 1-16  XML PDF (3.5 MB)
Document Type: Original Article
DOI: 10.21608/ijt.2021.266214
View on SCiNiTO View on SCiNiTO
Authors
Ehab Mohamed Ali email 1; Ahmed kadry Abdelsalam2; Ahmed HossamEldin3
1Air Defense College
2Electrical Engineering Department, Arab Academy for Science and Technology & Maritime Transport, Alexandria, Egypt;
3electrical engineering, Faculty of Engineering, Alexandria University
Abstract
Photovoltaics are extensively used as a premium device for generating electric-ity from solar planet's power. Under uniform radiation, the photovoltaics' output char-acteristics have a non-linear frame with a unique maximum power point. This point changes its position when a sudden change in solar radiation occurs. Otherwise, when the PV string is subjected to partial shading conditions, several power peaks have appeared with only one Global maximum power. The classical maximum power point tracking strategies always fails to deal with these dynamic difficulties, especially, under unex-pected climatic changes. Many soft computing methods are previously constructed to deal with these problems, but the main hurdles remain how to manage this tracking with the fastest time, the smallest power oscillations, and the greatest efficiency. In this paper, a modified Particle Swarm Optimization algorithm was proposed that capable of excluding or promoting certain parts of the solution search area until reach and track the max power point. The suggested method has been simulated and practically tested and the results indicate that the suggested method outperforms the typical Particle Swarm Optimization algorithm with regards to the speed of Global maximum power point tracking with the lowest oscillation and highest efficiency.
Keywords
Maximum Power Point Tracking (MPPT); Photovoltaic (PV); Partial Shading (PS); Particle Swarm Optimization (PSO); Global Maximum Power Point (GMPP)
Statistics
Article View: 80
PDF Download: 53