作者: Ehtisham Lodhi , Sun Jing , Zeeshan Lodhi , Rana Noman Shafqat , Muhammad Ali
关键词: Maximum power principle 、 Algorithm design 、 MATLAB 、 Maximum power point tracking 、 Photovoltaic system 、 Tracing 、 Power (physics) 、 Particle swarm optimization 、 Control theory 、 Computer science
摘要: Partial shading condition (PSC) is the most serious concern of a photovoltaic (PV) system as it pointedly decreases proficiency PV system. The generates numerous peaks in its output power characteristics curve under PSC. To track global maximum point (GMPP) with-in suitable time limit, consistent method thus required. For achieving high performance, enhanced convergence and less fluctuations during cloudy sky, conventional PSO altered. main objective this paper to identify (MPP) by utilizing an improved particle swarm optimization (IPSO) authenticate proposed algorithm diverse PSC, analysis between two commonly employed Improved MPPT techniques made through theoretical digital simulation using Matlab/Simulink. obtained result shows fast tracking speed, extraordinary consistency exactness tracing GMPP.