Title :
A novel global MPPT based on genetic algorithms for photovoltaic systems under the influence of partial shading
Author :
Daraban, Stefan ; Petreus, D. ; Morel, Carine
Author_Institution :
Dept. of Appl. Electron., Tech. Univ. of Cluj Napoca, Cluj-Napoca, Romania
Abstract :
This paper presents a novel maximum power point tracking (MPPT) algorithm, based on genetic algorithms (GA). This algorithm is used for searching the global maximum power point (GMPP) for photovoltaic systems affected by partial shading. The “Perturb and Observe” (P&O) algorithm is embedded into the GA function for improving the optimisation process. By adding this functionality to the algorithm, the number of iterations and the population size is low, thus finding the MPP in a short time. Description of this algorithm and its performances will be detailed in this article, verified through simulation and experimental results.
Keywords :
genetic algorithms; maximum power point trackers; photovoltaic power systems; GA function; P&O algorithm; genetic algorithms; global MPPT algorithm; global maximum power point tracking algorithm; optimisation process improvement; partial shading; perturb-and-observe algorithm; photovoltaic systems; population size; Genetic algorithms; Maximum power point trackers; Optimization; Photovoltaic cells; Photovoltaic systems; Sociology; Statistics; Genetic Algorithm; MPPT; Photovoltaic System; Power Electronics;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699353