Title :
An improved PSO based MPPT approach to cope with partially shaded condition
Author :
Mirhassani, S. Mohsen ; Razzazan, Mohsen ; Ramezani, Amin
Author_Institution :
Fac. of Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
This paper presents an improved particle swarm optimization (PSO) based maximum power point tracking (MPPT) strategy. Modeling of the PV cell and effect of the partially shaded condition (PSC) on the P_V characteristics are investigated. Typical PSO algorithm is modified to provide a better convergence and faster performance. A novel strategy is also proposed for reinitialization to reduce tracking time and power fluctuations in case of cloudy sky. The performance of the proposed system under uniform insolation, PSC and rapid fluctuation of the insolation is evaluated by MATLAB 2010B.
Keywords :
maximum power point trackers; particle swarm optimisation; photovoltaic cells; MATLAB 2010B; PV cell modeling; improved PSO based MPPT approach; improved particle swarm optimization based maximum power point tracking strategy; partially shaded condition; power fluctuation reduction; tracking time reduction; Algorithm design and analysis; Convergence; Educational institutions; Fluctuations; Mathematical model; Maximum power point trackers; Particle swarm optimization; MPPT; PSO; Partially shaded condition;
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/IranianCEE.2014.6999604