Title :
MPPT of a PV system based on the particle swarm optimization
Author :
Liu, Yupeng ; Xia, Dongwei ; He, Zhanning
Author_Institution :
Electr. Eng. Dept., Qingdao Univ., Qingdao, China
Abstract :
Under partial shading conditions, it is possible to have multiple local maxima in a photovoltaic (PV) system, but overall there is still only one true maximum power point (MPP) in the system. To track the true MPP, a strategy called variable size of particle swarm optimization (PSO) is developed. The strategy increases the movement step of particles at the initial iteration, and decreases it gradually with iteration. The simulation results showed that the strategy can track the global MPP fast and accurately in PV systems.
Keywords :
maximum power point trackers; particle swarm optimisation; photovoltaic power systems; MPPT; PSO; PV system; maximum power point tracking; particle swarm optimization; photovoltaic system; Optimization; Particle swarm optimization; Photovoltaic systems; Sun; Temperature; Tracking; PV systems; maximum power point tracking (MPPT); particle swarm optimization;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location :
Weihai, Shandong
Print_ISBN :
978-1-4577-0364-5
DOI :
10.1109/DRPT.2011.5994058