作者: Hegazy Rezk , Abeer Mera , Mohamed A. Tolba
DOI: 10.1109/REEPE49198.2020.9059172
关键词: Maximum power principle 、 Solar irradiance 、 Maximum power point tracking 、 Particle swarm optimization 、 Photovoltaic system 、 Power (physics) 、 Efficient energy use 、 Computer science 、 Control theory 、 Shading
摘要: Partial shading reduces the harvested electrical energy generated by solar photovoltaic system (SPVS). Under this condition, power-voltage curve of SPVS contains one global and some local maximum power points. Traditional trackers like perturb observe cannot extract point. Therefore, to enhance PV efficacy, mitigation partial condition must be solved. Conventional point tracking (MPPT) techniques are normally employed for maximizing output continuously under uniform irradiance without any problems. The main disadvantage these is failing extraction MPP shadowing condition. This paper presents a performance MPPT based on Particle Swarm Optimization (PSO). obtained results compared with incremental resistance method. confirmed that PSO tracker guarantee convergence different patterns they have best in comparison conventional ones.