DocumentCode
665964
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
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
1490
Lastpage
1495
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6699353
Filename
6699353
Link To Document